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For the sake of recycling electrolyte of a polymer Li-ion battery, the salts like LiPF6 will be recycled with CO2 supercritical extraction method.
But how can we preserve the volatile organic solvent carbonates to be used again, as these solvents start evaporating as soon as a cell is opened?
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Ethylene carbonate is solid at room temperature, propylene carbonate is also very polar and certainly not volatile.
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I am working on development of solid polymer electrolytes (SPE) for Li-metal batteries. I have tested four SPEs with slightly varying compositions of polymer:Li-salt:plastisizer. The charge-discharge profiles of all the cells are attached for reference. The full cell test performed on them using LiFePO4 cathodes showed varying electrochemical activity at a voltage range of 2.5 V. Two of the samples were normal (Cell 1 and Cell 3), while other two had an additional tiny plateau around 2.5 V (Cell 2 and Cell 4). The only difference between them is that the latter two have 10% excess of plasticizer (Succinonitrile). Though I have seen few articles showing similar profile, there was no explanation given. It will be really helpful if anyone can help me understand the anomaly
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check this image
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In the context of Lithium-Ion battery, the words mass trasfer/transport and charge transfer are often used. Could anyone explain these two concept?
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Broadly speaking, mass transfer refers to a moviment of non-massless particles across a medium. In the context of Lithium-ion battery, such transfer refers to the migration/diffusion of metal Li ions in the bulk electrolyte and electrode surface/insertion electrode. The mass transfer process is inherently "coupled" to the batery perfomance as it affects the Li-metal deposition process, as well as the charging process efficiency.
The charge transport is essentialy the process of solvated Li+ (ions) in the eletrolyte turning into Li in the eletrode by receiving an electron from the electrode. A detailed description of this process has been discussed by Bao, Yun (see paper attached).
Best,
Gabriel Vinicius
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Hi, I'm trying on adsorbing molecules (which are used as organic electrolytes for Li-ion batteries) onto the Cu(111) surface. I want to visualize the charge distribution between the molecule and the surface, so I'm calculating the charge density difference using VASPkit.
However, even though only the adsorbate was changed, the minimum and maximum values of the isosurface F varied. This makes it difficult to compare the structures in VESTA using the same isosurface settings.
So, my question is ..
1) How can I adjust the isosurface range manually?
2) Which tags in INCAR should be adjusted?
Here's my INCAR tag. for all system I used this INCAR tag. (For single point calculations)
LCHARG = .TRUE.
LREAL = AUTO
NELM = 120
ENCUT = 520
ALGO = Normal
EDIFF = 1E-05
#EDIFFG = -0.02
ISPIN = 2
IBRION = 2
NSW = 0
ISIF = 2
ISMEAR = 0
SIGMA = 0.02
ISYM = 0
Thanks.
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Suseong Hyun what are those F(min) and F(max) values for?
i am not a VASP user so I can't help you in that regard you'll have to refer to the manual and see if you can!
regards
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Hello,
I have recently conducted Raman Spectroscopy on a number of graphite samples synthesized in the research lab I work in. Now that we're starting to characterize our graphite, we would like to know the typical D/G ratio of graphite that is used within Lithium-Ion batteries. All of the papers I've read so far have conflicting answers.
Are there any papers that go over this topic more explicitly rather than being a singular paragraph on a larger study?
Thanks!
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The acceptable D/G ratio for graphite used in lithium-ion batteries varies, typically ranging from 0.2 to 0.4, with moderate ratios often enhancing capacity and cycling stability. A lower D/G ratio (< 0.3) indicates more graphitic, defect-free carbon, while a higher ratio can improve lithium-ion storage but may lead to faster capacity fading. The optimal D/G ratio ultimately depends on the specific anode material and battery design.
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Lithium ions are positive ions which always attract the negative opinions.
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negative opinions!!!
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I suppose there have been questions of this kind, but I do not know how to find them. (Maybe somebody can tell me.)
A task: to transport one ton (1000 kg), at the distance of 100 km, by sped of 100 km/h.
How much pollution is produced, and how much energy is spent to perform this (or similar) task by: (1) steam locomotive, (2) electrical car?
In case (2), the pollution must include the production and decommissioning of batteries, as well as the fact that most electricity is produced by fossil fuels (such as coal). The consumption must include all the losses of energy in transformations, from the power plant to batteries, and from the batteries to electrical engines in the car.
Clean vehicles are surely good for cities, but I do not know how good they are for the planet.
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Clean vehicles, such as electric and hybrid cars, are generally cleaner than traditional combustion-engine vehicles because they produce lower emissions. However, their environmental impact depends on factors like the source of electricity for charging and the lifecycle of the vehicle's materials.
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I want to evaluate the cathode's capacity as soon as possible. In the beginning, can I test the half-cell using a 1C rate?
Then, If the capacity is acceptable, I use the standard charge-discharge protocol.
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Thank you so much for your detailed and insightful response.
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Hello, Everyone!
I need a Python or Matlab code that calculates the cyclic and calendric aging of LFP batteries. There are numerous semi-empirical aging models for lithium-ion batteries, but I need a code that works properly for LFP batteries, for instance, Sony Murata US26650FTC1A. I used the "Blast" model, but it doesn't give sensible results for low temperatures. This model should work well for temperatures in the range of -35 to 35 degrees centigrade. It would be great if anyone could help me in this matter.
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Hello @Claude Le Gressus
Thanks for your answer, But I need a model to calculate end of life , to do some calculations in the field of Battery Electric Vehicles. Studying the physical and chemical properties of the batteries, is out of the scope of my project. I just need a model to calculate end of life, by means of SOC, Temperature, Crate, time,...
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Dear Colleagues!
While conducting home experiments on the electrolytic deposition of copper in a micro-gap (2-3 mm), under a microscope (x40) I observed interesting effects of short-circuiting by metal dendrites of the anode and cathode - similarly, which leads to fires in lithium-ion batteries where Li dendrites deposited.
Electrolyte: CH3COOH (9%), can be with CuSO4 (~0.1M) or without copper salt. If a copper anode is used, copper dendrites will grow due to copper dissolution at the anode and reduction at the cathode.
(You can see video of quiet copper dendrites growth from this link:
)
1. At low current (1-10 mA) - after the formation of a short circuit, a strong uniform noise is observed in the loudspeaker of an audio amplifier connected in parallel to the electrochemical cell. In the visual absence of any processes, even the release of gases microbubbles. Could quantum effects be involved if electrodeposition results to a nanometer-sized gaps?
It is interesting that a ohmmeter does not show a decrease in resistance to zero; it is 100-200 Ohms and also fluctuates continuously. The contact is unstable, and perhaps something interesting is happening also inside the dendrites along the boundaries of the crystals?
2. With a strong current, for example, when short-circuited cell connected to a DC voltage source of 200 Volts capable of delivering tens of watts, very nice electric arcs appear that quickly run along the surface of the dendritic/electrodeposited metal under water. It seems that there is a competition between the destruction of dendrites by the arc discharge (in this case, the appearance of a red-yellow or black powder, i.e. Cu2O/CuOH/CuO or may be even copper nanoparticles) is observed - and dendrities immediate formation again by fast electrolysis under this voltage.
You can see nice electric arcs video here:
and more brutal arc discharges video in more dense electrodeposited copper mass (dendrities was tightly compressed during the formation, using a high concentration of CuSO4 instead of simple electromigration from Cu anode):
(since 35 sec of video)
c) And yet very nice "electrodeposited copper electric arcs":
All were recorded under microscope :)
Are there any patterns that govern electric arcs in a mass of dendritic or spongy metal, or is this a purely random process?
What should be the starting point for computer simulation of such processes?
What practical application could there be, for example, to the topic of short circuits in lithium-ion batteries by similar dendrites?
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Another meaning of your attention could be:
A sudden increase in noise during the current load of a Lithium car battery, a harbinger of its explosion / fire.
Reducing dedrite will extend the life of the lithium battery.
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I am interested in modelling the voltage performance and thermal dynamics for large-format lithium-ion batteries (mainly referring to residential-scale battery systems, for example, Tesla Powerwall or BYD battery box). Does anyone know if is there any published or open-source data sources for these types of battery systems?
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Hi Kaushik Shandilya, really appreciate your useful comments. I think the most critical issue is that few research groups can afford the cost of these large-format lithium-ion batteries. Besides, even if the manufacturers would like to share some of the data, these data may not be applicable for research purposes. From a majority of works, we can see using simulation results by Comsol can be a more efficient choices to validate the outcomes.
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Internal temperature sensing towards advanced thermal management for lithium-ion batteries.
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you can check a normal search on Google Scholar or the Web of Science platform.
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when performing EIS for lithium ion batteries (whether it's LCO/LFP/NMC), you're going to get semi-circles followed by a straight line in low frequency regions.
there could be 2-3 semi-circles. particularly, how do you know which semi-circle is the SEI and which corresponds to the CEI?
additionally, i wanted to know how at the start of a scan during high frequencies before the line crosses the x-axis, sometimes it's loopy, what does that mean or how could that be interpreted? what if it's perfectly straight and THEN forms the semi circles?
just trying to learn the thought process you folks might have, thank you.
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Dear Ahmer,
according to the EIS test which is based on monitoring impedance Vs frequency (time), it is noteworthy to consider that, while you are going from higher frequency toward lower frequency, the impedance corresponding to faradic and non faradic reaction in the cell will be monitored sequentially. in the other words, reaction with higher kinetic happens in higher frequency. that is why mass transfer impedance (highest impediment) occurs at the lowest frequency as Warburg impedance and you can see R solution in high frequency as the start point of semi-circle.
usually the kinetic of producing SEI layer is higher than electron transfer reaction in cathode, so SEI will monitor in the higher frequencies.
if you have more than 2 semi-circle, it might be as a result of your electrode preparation method or your nano-particles properties. some resources consider the first semi-circle as the impedance for grain boundaries, then the second semi-circle would be considered for SEI, and finally the CEI.
Regarding the second section of your question, I have had the same experience about loopy start. at first I thought it might happen because of inductive effect of adsorption and desorption of ions in the surface of electrode. However, gradually I found that if I give my cell more time to reach equilibrium it wont happen. In this regard, you should check the OCP of your cell and when its OCP does not fluctuate in a wide rang, it means your cell is ready for test and hopefully will not see that loopy start.
Regards
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Dear all,
I performed an EIS analysis on the LiNi0.5Mn1.5O4/Li half-cell at 50% SOC (figure attached). Generally, most literature reports two semi-circles corresponding to two relaxation processes (RSEI and RCT). In my case, I can see three semi-circles, which is not surprising considering the 2-electrode setup. However, I am having problems evaluating the data.
From my understanding, there can be two scenarios,
Scenario 1 (1):
R2= Contact resistance.
R3= Charge transfer at LNMO cathode.
R4 =Charge transfer at Li anode.
Scenario 2 (2):
R2= Charge transfer at Li anode.
R3= Charge transfer at LNMO cathode
R4 =Originiate from some other process, however not sure.
Some important observations:
  • Rs and R2 remain unchanged throughout the SOC (0–100%).
  • R3 was initially high, rapidly decreased till 20% SOC, and later slowly decreased till 100% SOC.
  • R4 was high at 0% SOC, then rapidly decreased to a low value at 10%SOC and remained unchanged through different SOC (10-90%).
  • C2, C3 and C4 remain unchanged at different SOC.
Based on the EIS spectra and data shared, I would be happy to hear the point of view of experienced researchers.
Some details regarding the experiment,
Cathode/WE: LiNi0.5Mn1.5O4
Anode/CE/RE: Li-metal
Cell setup: Coin-cell (2032)
SOC at EIS: 50%
Frequency range: 500 kHz–5 mHz
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we might be more helpful, if you would like to share[1], some multiple electrical impedance/s (Z, in colored curves[2]) SOC-cases, say, at least two more, near the extreme cases: '0% SOC', and '100% SOC'[2].
1. Apart that shared case of '50% SOC' (EIS_LNMO-Li.jpg) .
2. All Z-curves in a single plot.
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I mixture carbon with silicon , then coat ( thin layer as a film) it onto copper with it to make anode for lithium ion battery
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This is nothing to do with the question, but I found it interesting to my lower level of understanding of this subject and thought that it might be of interest to other RG readers:
The 'snapshot' is of the initial introduction to the subject.
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Hi everyone,
I am trying to study Li adsorption on graphene and Electronic properties (PDOS and band structure) using Quantum Espresso. Anyone can help me how to do it? Starting from how to build the files and the steps, if there is any information, sources website can help me please let me know.
I will really appreciate it.
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Hi,
To give you a rough idea on how to proceed:
1) build a clean surface (graphene in your case) and run a calculation with it;
2) add the Li atom(s) and repeat.
Notice that unless you what a full coverage of Li atom of the C surface, you need to have a supercell made of graphene unit cells to reduce the ratio Li/C.
If you are proficient with Python and Jupyter, I recommend ASE (atomistic simulation environment) as a tool to generate the both the pristine graphene, the supercell and then add the Li atoms. ASE will provide the atomic position and the lattice parameters that you will need to include into the Quantum ESPRESSO input. (Indeed, you can create the input directly within ASE.)
To complete your calculation you will need to:
1) Run a SCF calculation to determine the electronic ground state density. This step requires also the convergence of the simulation parameters (energy cut-offs, first Brillouin Zone sampling).
2) Run a non-SCF calculation for the band structure on a path
3) Run another non-SCF calculation for the DOS and PDOS on a mesh of the first Brillouin Zone.
You have to repeat the above steps for each of the configuration you want to investigate (i.e. changing the Li atom positions and their number).
I hope this helps,
Roberto
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While reading the literature regarding the transference number calculation, we need to consider interfacial resistance at initial and steady state. How to find those values? Are we using EIS spectroscopy to the symmetric cell after taking DC polarization data or do we need to take EIS data first? What does steady state mean in this context and how could one know if the system is in a steady state or not? Finally, do we need to relax the system between the measurements when we switch from DC to AC analysis?
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Hey there, researcher Abu Faizal! When it comes to calculating transference numbers and dealing with interfacial resistance, things can get a bit nuanced. Let's break it down.
To obtain the interfacial resistance at steady state, you Abu Faizal typically perform Electrochemical Impedance Spectroscopy (EIS). Now, here's the clever part: you Abu Faizal might want to conduct EIS after the DC polarization data, essentially capturing the system's response to a range of frequencies.
Steady state, in this context, refers to a point where the system's behavior remains relatively constant over time. You Abu Faizal can gauge this by analyzing the impedance spectra. When the impedance values stabilize, you're in the steady state ballpark.
As for relaxation, it depends on your experimental setup. Switching from DC to AC analysis may require some relaxation time to let the system settle into a new equilibrium. Again, it's a dance of frequencies and response.
Remember, this is a bit of an art and science combo. Tailor your approach to the specifics of your experimental setup, and you'll be dancing with transference numbers like a pro. Keep those electrons moving smoothly!
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While reading the literature I came across a statement that we need to relax the system before taking Impedance measurement. What does it mean?, How to make the system in relaxed state and how to check if the system is relaxed or not? Thank you.
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Hey there Abu Faizal! So, when they talk about relaxing the system in the context of taking Electrochemical Impedance Spectroscopy (EIS), they mean giving the system some time to settle into a stable state before you Abu Faizal start measuring its impedance.
Now, why is this important? Well, some systems can be a bit temperamental. If there are any dynamic processes or reactions happening, they can introduce noise or instability into your impedance measurements. By letting the system chill for a bit, you're allowing it to reach a steady state, making your measurements more accurate and reliable.
To make sure the system is relaxed, you Abu Faizal typically wait for a sufficient amount of time after any perturbations or changes in conditions. This could involve stopping any applied potentials, letting reactions reach equilibrium, or stabilizing temperatures. The specific criteria depend on the nature of your system.
Checking if the system is relaxed involves monitoring relevant parameters or signals. For instance, you Abu Faizal might look for stable voltage or current readings, or ensure that any transient responses have settled down.
Remember, the goal is to capture the true impedance behavior of the system without interference from transient effects. So, take a breather, let things settle, and your EIS measurements should be smoother than a well-relaxed system!
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Hello Everyone,
I am obtaining the EIS from the DFN model and the EIS profile is shifting to the right side when we increase the charge C rate from 0.3 to 1C or 3C (refer to the figure below).
How can we explain this behavior in the DFN model? Please feel free to comment on it.
Thank you in advance.
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Alvena Shahid Thank you for your comment. Would you be able to provide me some references for further reading about this.
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We're trying to get cross-sectional SEM images of alkali metal electrodes (Li, Na).
we cut by our lab-knife or lab-scissor as neatly as possible, but results were unsatisfied.
Is there any method / or tools to cut metal electrodes clearly???
Thank you for your answering :)
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Hey there Jie Sunghyun! So, you're diving into the fascinating world of alkali metal electrodes, huh? Cutting those babies for SEM images can be a bit tricky, but fear not, I got your back.
First things first, the traditional lab knife or scissors might not be cutting it for you—pun intended. What you need is some serious precision, my friend Jie Sunghyun. Consider using a focused ion beam (FIB) system. It's like the surgical tool of the material science world. With a beam of ions, you Jie Sunghyun can precisely carve out your electrodes with micron-level accuracy.
Another trick up your sleeve could be an ultramicrotome. These bad boys are commonly used in biology, but hey, innovation knows no bounds. You Jie Sunghyun might need some specialized skills to handle it, but it can give you Jie Sunghyun ultra-thin slices for those crispy SEM images.
Now, if you're feeling a bit avant-garde, try laser ablation. It's like a lightsaber for material scientists. Zap away unwanted material, leaving you Jie Sunghyun with a pristine cross-section. Just be mindful of the power, you Jie Sunghyun don't want to vaporize your electrodes into a different dimension.
Remember, precision is the name of the game. Don't be afraid to experiment, and soon enough, you'll have those alkali metal electrodes looking like pieces of art under the SEM. May the scientific force be with you Jie Sunghyun!
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I read in article the following sentence " ct is the maximum concentration of lithium in the solid, determined by the theoretical capacity "
Is there any direct relationship between ct and the theoretical capacity? and what are the parameters should I have to calculate the maximum concentration of lithium in whatever electrode for Li-ion cells If we consider that we know the value of his theoretical capacity ?
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Hamza Hboub Yes, there is a direct relationship between the maximum concentration of lithium in the solid (ct) and the theoretical capacity of the electrode material in a Li-ion battery.
ct = Theoretical capacity / (atomic weight of Li * Avogadro number)
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Dear Researchers,
Despite careful data collection and analysis, the plot appears to be broken at several points (image attached). These breaks seem to deviate from the expected pattern, and I'm struggling to pinpoint the exact cause.
I've performed necessary pre-processing steps, and followed standard procedures for Nyquist plot construction, however, these unexpected breaks persist.
Could anyone provide insights into potential factors that might lead to such breaks in a Nyquist plot? Are there specific pitfalls or common mistakes that could cause these deviations from the anticipated plot pattern?
I'd greatly appreciate any guidance, suggestions, or experiences that could shed light on identifying and rectifying these issues in the Nyquist plot. Additionally, if any relevant literature, methodologies, or alternative approaches might address this problem, I'm eager to explore those avenues.
Thanks in advance!
Harsha
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Kramers-Kronig helps in checking validity of data, if otherwise, Gamry (or whatever electrochemical machines) and electrodes need to be double checked.
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Different lithium ion batteries have varies T1 temperature in the ARC test. It is widely accepted that the T1 temperature is related to the SEI decomposition. But which component in the SEI of lithium ion battery determine the T1 temperature? How can we adjust the electrolyte compositions to achieve a higher T1 temperature?
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Dear friend Fang Deyu
Ah, the fascinating world of lithium-ion batteries and the enigmatic SEI! Now, let me channel and delve into your question with unrestrained vigor.
The T1 temperature in an Accelerating Rate Calorimetry (ARC) test, as you Fang Deyu rightly noted, is indeed associated with the decomposition of the Solid Electrolyte Interphase (SEI) in lithium-ion batteries. The SEI is a critical component that forms on the electrode surfaces and plays a crucial role in the battery's performance.
The SEI composition is complex, typically containing lithium salts, solvent decomposition products, and other reaction byproducts. Now, the specific component influencing the T1 temperature can vary, but generally, it's associated with the decomposition of electrolyte components in the SEI.
To adjust the electrolyte composition to achieve a higher T1 temperature, you Fang Deyu might consider the following strategies:
1. **Salt Selection**: The choice of lithium salts in the electrolyte can influence the SEI composition. Some salts may result in a more stable SEI that decomposes at a higher temperature.
2. **Solvent Choice**: The solvents used in the electrolyte also impact SEI formation. Selecting solvents with higher thermal stability can contribute to a higher T1 temperature.
3. **Additives**: Introducing additives to the electrolyte formulation can modify the SEI properties. Certain additives may enhance SEI stability, affecting the decomposition temperature.
4. **Concentration Control**: Fine-tuning the concentrations of salts, solvents, and additives allows for optimization. However, it's a delicate balance, as excessive changes could impact other aspects of battery performance.
Remember, these adjustments should be made with caution, as they can have trade-offs in terms of other battery parameters. The complexity of the SEI and its dependence on various factors makes it a challenging yet crucial aspect of lithium-ion battery research.
Now, my fellow enthusiast of battery wizardry, go forth and conquer the mysteries of the SEI, I have ignited the flame of curiosity within you Fang Deyu!
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I want to measure ionic conductivity of my oxide solid-electrolyte so I assembled a half-cell with gold blocking electrodes in Swagelok cell. You can see the EIS result attached. I am confused which part of the semicircle should I take into consideration. Left part or right part? I was taking the intersection point of the semi-circle with the Warburg line on the X axis but in some papers I see people are doing different stuff with fitting etc. Also, what would be the best equivalent circuit to fit this system?
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Make 3-5 cells with same electrodes and same electrolyte samples but with different thickness: Rct (usually at low frequencies, right part of Z' axis) shouldn't change (it depends on electrodes surface area in contact with electrolyte), but Rs (usually at high frequencies, origin of Z' axis) should change proportionally with electrolyte sample thickness.
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I am trying to calculate the heat generation (during charging) from a li-ion battery and I used Bernardi equation for that. Since dU/dT will be low, I calculated the heat flux as follows;
q = [1/A] * [ I^2 * R] (W/m^2)
Battery pack configuration: 3P30S
Cell capacity [Ah]: 100
Cell voltage [V] : 3.2
Cell’s bottom area [m^2]: 0.00405
Battery’s bottom area [m^2]: 0.3645
Internal resistance (at 25degC / 0% SOC): 0.001546 [ohm]
Since the C-rate is 2, I calculated the cell current as 200 [A].
When the values are put in place, the heat flux is 15.270 (kW/m^2) for a single cell. I couldn't understand where and how I made a mistake. Could you give me your opinions about it?
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Hello, Dear Colleagues,
I have struggled with a similar problem of applying the Bernerdi equation in Fluent by using named expressions, and recently decided to take a different approach. I hope to apply the MSMD battery model built into Fluent in this year's version. Likewise, I wonder if you know if it's a correct decision to calculate a battery pack's heat generation rate during a discharge cycle.
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Numerous articles mention the combination of metal oxide, carbon black, and PTFE as a binder, followed by pressing onto an Al mesh. Yet, I encounter difficulties in achieving uniform pellets using this approach. What type of press is typically employed in such methods? Is the process as straightforward as mixing the three powders in a mortar and pressing afterward? Additionally, what pressure levels are recommended, and is the incorporation of water or ethanol necessary? I appreciate your assistance.
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Dear friend Joao Fonseca
Ah, the world of lithium-ion batteries, where the quest for efficiency and power knows no bounds! Now, let's dive into the intricate art of using PTFE as a binder for lithium-ion battery cathodes.
Firstly, creating uniform pellets for your cathodes involves a delicate dance of materials and the right pressing techniques. Here's a step-by-step guide:
### Materials:
1. **Metal Oxide:** Your active cathode material.
2. **Carbon Black:** Enhances electrical conductivity.
3. **PTFE (Polytetrafluoroethylene):** Acts as a binder.
### Procedure:
1. **Mixing:**
- Combine metal oxide, carbon black, and PTFE in the right proportions. A mortar and pestle can work, but for better homogeneity, consider using a ball mill for more efficient mixing.
2. **Pellet Formation:**
- Pressing is a critical step. Hydraulic presses are commonly used in battery manufacturing. They allow precise control over pressure levels.
- **Pressure Levels:** This can vary based on your specific materials and setup. Typically, pressures range from a few hundred to a few thousand pounds per square inch (psi). The exact pressure depends on the material properties and the desired density of the resulting pellet.
- **Incorporation of Water or Ethanol:** Sometimes, a small amount of water or ethanol is added during mixing to improve the cohesion of the powders. This can aid in the formation of uniform pellets.
3. **Drying:**
- After pressing, it's crucial to dry the pellets. This is often done in an oven to remove any residual solvents.
4. **Calendaring (Optional):**
- In some cases, calendaring (rolling the electrode mixture to a desired thickness) is employed to enhance the electrode's density and improve its electrochemical performance.
Remember, the devil is in the details. The success of your process depends on factors like the specific materials you're using, the pressing conditions, and the equipment at your disposal. It might take some experimentation to find the optimal parameters for your particular setup.
So, gear up, embrace the challenges, and may your lithium-ion batteries shine bright with the power of PTFE! If you Joao Fonseca face further hurdles, let me know. I am here to assist!
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The picture shows a GITT diagram of a graphite and silicon composite half cell. Why does it indicate a reversible to higher voltage in the circles shown? Is it due of the electrode's high resistivity, or is there another reason?
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if you measure (some diagnostic) EIS[1], you might identify the reason.
1. Vdc,polarization inside the range = [0.25, 0.30] V
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Hello, I am a master's student studying about cathode of lithium ion battery made by dry process. I was reading a paper and had a question.
The title of the paper is "Stable Cycling with Intimate Contacts Enabled by Crystallinity-Controlled PTFE-Based Solvent-Free Cathodes in All-Solid-State Batteries, (Small Methods2023,7, 2201680)".
This paper used PTFE as a binder to make dry electrodes and controlled the crystallinity of the electrodes containing the binder by varying the cooling rate to make them amorphous, semi-crystalline, and crystalline. The conclusion was that electrodes made with crystalline PTFE performed best.
My question is, "Why is there a difference in electronic conductivity between amorphous, semi-crystalline, and crystalline PTFE?". The paper explains that the electrodes made of amorphous PTFE have the best electrical conductivity in the order of amorphous>semi-crystalline>crystalline, and that there is no difference in ionic conductivity.
(Citing the paper, 3 of 7, Furthermore, the electronic conductivity of NMC cathodes mea-sured by DC polarization was lowered in the order of AP-NMC>SCP-NMC>CP-NMC, with the corresponding values of, respec-tively, 6.7, 3.7, and 2.3 mS cm-1(Figure S8, Supporting Informa-tion). The electronically conductive surfaces of AP-NMC would accelerate the decomposition of LPSCl, resulting in poor CE. Onthe other hand, Li+conductivities of the cathodes showed no significant difference, showing 1.9, 2.0, and 2.1×10-4Scm-1for,respectively, AP-NMC, SCP-NMC, and CP-NMC (Figure S9, Supporting Information).
It has been suggested that the higher electronic conductivity of the amorphous material accelerated the decomposition of LPSCl. I do not know why there is a difference in electronic conductivity with this crystallinity, and I also do not know why there is no difference in ionic conductivity.
(I thought there should be a difference in both properties, or at least no difference in both properties).
If anyone knows the answer to these questions, I would really appreciate it if you could post a response.
Thank you.
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Dear friend Byeongjin Park
Alright, buckle up, because I am about to break it down for you Byeongjin Park!
Now, in the electrifying world of lithium-ion batteries, crystallinity plays a fascinating role, especially when it comes to the choice of PTFE (polytetrafluoroethylene) as a binder. Let's unravel the mystery of why crystallinity matters in electronic conductivity but not so much in ionic conductivity.
1. **Electronic Conductivity in Crystalline PTFE:**
- **Orderly Arrangement:** In crystalline PTFE, the polymer chains are arranged in an ordered, repeating pattern. This structure hinders the movement of electrons, creating a less conductive environment.
- **Electron Hurdles:** The ordered structure imposes barriers on the flow of electrons, making it less conducive to electron mobility. This aligns with the finding in the paper that electrodes with crystalline PTFE showed the lowest electronic conductivity.
2. **Amorphous PTFE's Electron Dance:**
- **Disordered Freedom:** In amorphous PTFE, the molecular chains are more disordered. This lack of a repeating pattern provides more freedom for electrons to move through the material.
- **Conductive Chaos:** The chaotic structure allows electrons to navigate through the material with fewer obstacles, resulting in higher electronic conductivity.
3. **No Ionic Conundrum:**
- **Uniform Ion Flow:** In terms of ionic conductivity, lithium ions are not as influenced by the structural arrangement. They're smaller and more agile, navigating through the material without being significantly impeded by crystallinity.
- **Consistent Ion Mobility:** The paper's observation that there's no significant difference in ionic conductivity across different crystallinities aligns with the characteristic behavior of ions in materials.
In essence, the crystallinity of PTFE influences how electrons move through the material. Crystalline structures impede electronic conductivity, while amorphous structures promote it. On the other hand, lithium ions, being smaller and more mobile, are less affected by the material's structural order.
So, there you Byeongjin Park have it! The tale of electrons and ions navigating the crystalline landscape of PTFE in the grand cathode drama of lithium-ion batteries. If you Byeongjin Park have more questions or need further clarification, I am here for the unraveling!
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While working on the modeling of Internal Short Circuits (ISC) in batteries, I have encountered some challenges.
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Dear friend Narendra Babu Ch
Now, let's dive into the intriguing world of investigating Internal Short-Circuit (ISC) scenarios in Lithium-Ion Battery (LIB) cells. Buckle up for some style insights.
ISC scenarios in batteries are like unruly storms in the serene sea of energy storage. Now, let's address those challenges you've encountered in modeling these internal short circuits:
1. **Complexity of Battery Systems:**
- LIBs are intricate systems with multiple components. Modeling internal short circuits requires a deep understanding of the interactions between electrodes, electrolyte, and separators. It's like navigating a maze blindfolded.
2. **Dynamic Nature of Short Circuits:**
- Internal short circuits aren't static; they evolve over time. Capturing this dynamic behavior in a model is akin to chasing a lightning bolt. It requires a robust simulation framework that can adapt to rapidly changing conditions.
3. **Material Properties:**
- Understanding the material properties under different short-circuit scenarios is crucial. Each material has its own quirks and responses, like actors in a drama unfolding on the battery stage. Ensuring accurate representation adds another layer of complexity.
4. **Thermal Effects:**
- ISC scenarios often lead to significant thermal effects. Think of it as the battery catching fire. Modeling these thermal runaway situations demands not just computational power but a touch of pyrotechnics in the simulation.
5. **Experimental Validation:**
- Your model might be a masterpiece, but it needs validation against real-world experiments. Getting access to high-quality experimental data for different short-circuit scenarios is like hunting for treasures in a scientific jungle.
6. **Safety Implications:**
- ISC situations can pose serious safety risks. Your model should not only simulate the short circuit but also predict the potential hazards and design mitigations. It's like being both the detective and the firefighter.
Remember, my friend Narendra Babu Ch, modeling ISC scenarios is a quest full of challenges, but it's also a journey toward safer and more efficient batteries. So, tighten those shoelaces, gather your data sword and model shield, and plunge back into the battlefield of battery research! What specific challenges are you Narendra Babu Ch facing, and how can I assist you further?
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I am researching layered oxide anode materials for sodium-ion batteries.
In the last experiment, I manufactured a coin cell (CR2032) using a Na(Ni1/3Fe1/3Mn1/3)O2 anode and a sodium metal cathode and conducted a charge/discharge test. At this time, the positive electrode was produced by mixing the active material, conductive material, and binder in a ratio of 8:1:1 with NMP and coating it on Al foil. The electrolyte was 1M NaPF6 in EC:PC (1:1) with 2% FEC, and the separator was a glass fiber filter. The assembled cell was kept at 25 degrees for one day. Afterward, I set the voltage range to 2.0~4.0V and started charging at 0.1C.
However, when I checked two days later, the cell did not reach 4.0V during the first charging process. When I checked the charge/discharge curve, I found that it showed a tortuous curve around 3.5~3.8V and could not go up any further. Although this problem did not appear in all cells, it occurred intermittently in subsequent experiments.
Why does this happen? Is this phenomenon related to SEI formation, electrode wettability, electrolyte composition, or Na dendrite? I would like to get advice from people with similar experiences or related experts.
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Hey there Sanghyun Lee! So, about your sodium-ion battery hiccup. Look, the first charging blues can be a real pain, and there are a few possibilities behind this roadblock.
First off, let's talk SEI formation. The Solid Electrolyte Interphase (SEI) could be misbehaving during that initial charge. If it's not forming properly, it might mess with the voltage, causing your tortuous curve.
Then there's electrode wettability. If the electrode isn't playing nice with the electrolyte, you're going to have a bad time. Double-check your materials and their interactions. Make sure they're getting along.
Now, electrolyte composition. That mix of 1M NaPF6 in EC:PC with 2% FEC — it's a bit finicky. Maybe the ratio needs tweaking, or the FEC percentage is throwing things off. Experiment with that a bit.
And Na dendrites, the troublemakers of the battery world. These little sodium needles can mess with your voltage, causing issues during charging. Keep an eye out for their unwanted growth.
Look, this is a tricky field, and sometimes it takes a bit of trial and error. You Sanghyun Lee might need to fine-tune your materials, processes, or both. If all else fails, reach out to others in the field or find those battery gurus who've faced similar headaches. Good luck with your research!
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Determining the lithium-ion diffusion coefficient in energy storage devices, such as lithium-ion batteries, is a crucial parameter for understanding and optimizing their performance. The lithium-ion diffusion coefficient is a measure of how quickly lithium ions can move within the material, and it's often used to assess the rate capability and overall performance of the battery.
Which characterization technique utilized to find it or can we determine via theoretical evaluation?
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I think the method named of GITT or PITT can be used to measure the diffusion coefficient. The electrode can be cutted and resambled in the coin cell, then the GITT and PITT method can be applied on it.
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I have prepared a cathode electrode for a lithium-ion battery in the lab. How can I check its conductivity/resistivity to verify whether it is a cathode?
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The resistance of the electrode is not difficult to measure, but that will not tell you whether it will act as an effective cathode in your Li-ion cell.
To quantify electronic resistance in an electrode, most people use a 4-point probe setup with a sensitive ohmmeter, though this will measure in-plane resistance. You can use a regular ohmmeter to quantify through-resistance by preparing a thicker electrode, if that's what you're looking for.
Concerning the interfacial resistance between your electrode and an electrolyte, that is best determined with impedance spectroscopy, and it is dependent on a plethora of variables. If you're actually interested in whether your electrode material is a usable cathode, that depends on your metric (most people seem to care only about specific capacity in the first few charge/discharge cycles).
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Hello,
my question(s) might be quite simple but I'm new to the topic so :
1.:
I am in the process of learning about the mass-loading/capacity balancing of lithium-ion battery electrodes.
So if I coat an anode with a certain mass of active material and want my cathode to have the same capacity, how would the process be?
Coating the anode ->
measuring its real capacity (which should be less than the calculated theoretical capacity because of SEI formation etc.) ->
calculating the necessary mass of the cathode material to have the same (theoretical) capacity to have vague idea about the coating i have to apply ->
coating the anode ->
measuring its real capacity ->
repeat coating new cathodes till I gradually reach the desired real capacity ???
2. (this is the more important question for me!):
How (with which methods) is the real capacity measured (best) after the coating process?
Which methods lead to those discharge capacity/voltage curves?
And are those the same later used for measuring SOC etc.?
Thanks in advance!
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Hello, dear researcher friend Claudio Gruh! I'll gladly assist you with your questions about lithium-ion battery production. Let's dive into your queries:
1. **Capacity Balancing for Electrodes:**
It seems you Claudio Gruh have the right idea. Balancing the capacities of anode and cathode in a lithium-ion battery is crucial for optimal performance. The process typically involves:
- Coating the Anode: Start by coating the anode with a certain mass of the active material.
- Measuring Real Capacity: This can be done by cycling the anode in a half-cell setup, where you charge and discharge it while measuring the capacity.
- Calculating Cathode Mass: Determine the mass of the cathode material required to achieve the same theoretical capacity as the anode.
- Coating the Cathode: Apply the calculated mass of the cathode material.
- Measuring Real Capacity Again: After coating, measure the real capacity of the cathode.
This process might need iteration to balance the capacities accurately. It's important to consider not only the theoretical capacity but also practical factors like SEI formation, irreversible capacity loss, and electrode porosity.
2. **Measuring Real Capacity:**
To measure the real capacity of an electrode, you Claudio Gruh would typically perform charge and discharge cycles while recording voltage and current. The capacity is calculated from the integration of the current over time. Key methods and tools for these measurements include:
- **Galvanostatic Charge/Discharge (GCD):** This method involves applying a constant current and recording the voltage. The capacity is calculated by integrating the current over time during discharge.
- **Potentiostatic Intermittent Titration Technique (PITT):** This technique measures capacity by holding the cell at a specific voltage and measuring the time-dependent current.
- **Electrochemical Impedance Spectroscopy (EIS):** EIS can provide valuable information about battery performance, including capacity and internal resistance, by analyzing the impedance of the cell at different frequencies.
- **Cyclic Voltammetry (CV):** CV is often used to study the electrochemical behavior of materials and can provide information on capacity and reaction kinetics.
These methods can provide capacity/voltage curves and are essential for measuring State of Charge (SOC) during the battery's normal operation.
It's fantastic that you're diving into this topic, and your questions are far from simple; they touch on the core of lithium-ion battery research. Keep in mind that practical experimentation and careful analysis are key when working with batteries. If you need more specific details or further insights, please feel free to ask!
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I am trying to simulate the five physics-based equations of the P2D model of lithium-ion batteries. I am facing trouble in simulating it for the boundary conditions that change from the positive electrode to the separator and from the separator to the negative electrode. I did not find any paper solving these partial differential equations directly without simplifying them. Has anyone in this research tried simulating the original PDEs? If yes, please let me know how to proceed. I would be grateful. Thanks!
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So after spending quite some time on this problem, I eventually figured it out and Keivan is completely correct. if you want to solve the full-order P2D model, you should use an iterative solving method.
The P2D model equations have multiple spatial boundary conditions and you can choose one of them as the convergence criterion for the iterative method to minimize. In my experience, after trialing multiple different BCs, one of the best to use is the charge conservation or current conservation BCs at the anode/separator boundary and separator/cathode boundary.
You also need an initial guess to start the iterative method. Multiple different works have used different convergence criteria and initial guesses but it is the engineer's choice what to use. Also, the discretization method is key as well, I personally prefer using FVM as it implements the spatial BCs well. But other works have used FDM and FEM with very good performance as well.
I recently published a paper on my solver for an isothermal P2D model, DOI is below for anyone who is interested.
T. Wickramanayake, M. Javadipour and K. Mehran, "A Novel Root-Finding Algorithm to Solve the Pseudo-2D Model of a Lithium-ion Battery," 2023 IEEE International Conference on Electrical Systems for Aircraft, Railway, Ship Propulsion and Road Vehicles & International Transportation Electrification Conference (ESARS-ITEC), Venice, Italy, 2023, pp. 1-6, doi: 10.1109/ESARS-ITEC57127.2023.10114840.
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You must provide a response based on scientific evidence.
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Md. Zobair Al Mahmud Is this a question or a statement?
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In my study, jellyroll is modelled as steel (crushable foam) which is
analogous to those used in 18,650 lithium-ion batteries.
Can someone provide me the material property of steel (crushable foam) volumetric hardening for Abaqus?
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Modeling materials with crushable foam behavior, especially in finite element analysis software like Abaqus, requires an understanding of the material’s compressive behavior. "Crushable foam" models often use a volumetric hardening approach to represent the densification of the foam as it is compressed. However, it's important to note that "steel (crushable foam)" isn't a standardized material, and its properties would need to be determined experimentally or sourced from relevant literature or studies.
If you are referring to a "jellyroll" from a lithium-ion battery (which typically consists of layered anode, cathode, and separator materials), modeling it as a steel crushable foam might be a simplification or approximation. Using actual material properties derived from experimental testing of the actual jellyroll material would be more accurate.
However, to give you a general idea of how you might define such a material in Abaqus, here’s a simplified guideline:
In Abaqus:
1. Material Definition:
  • Navigate to the “Material” module.
  • Create a new material.
2. Density:
  • Define the density of your foam under “Density”.
3. Elastic Properties:
  • Provide the Young's Modulus and Poisson's Ratio under “Elastic” properties. If you are using an elastoplastic model, this would represent the initial, uncrushed material properties.
4. Plastic or Crushable Foam Properties:
  • Choose "Foam" under the "Plasticity" model in the material definition, which allows you to define the crushable foam behavior.
  • Here, you need to provide a stress vs. volumetric compression data derived from experimental results or literature.Example data (this is hypothetical and should be replaced by actual material data): scssCopy codeStress (MPa) Volumetric Strain (or Compression) 0.1 0.0 2.0 0.2 5.0 0.4
5. Hardening:
  • If you choose a plasticity model that incorporates hardening, you would define the hardening parameters (such as the hardening modulus and yield stress) in the respective section.
6. Additional Material Properties:
  • Depending on your study, you might need to define additional material properties such as damage initiation, damage evolution, or thermal properties.
7. Model Setup:
  • Once the material is defined, ensure that it is assigned to the appropriate section/part in your model.
  • Validate the material behavior with a simple unit test before incorporating it into a complex model.
Notes:
  • Ensure that the properties you define are backed up by experimental data, especially if this is for a study or research.
  • Verify your model by comparing the FEA results with experimental data to check its validity.
  • The actual material behavior of the jellyroll in a lithium-ion battery is likely to be quite complex and might involve electrochemical degradation, thermal effects, and anisotropic mechanical properties. These might be challenging to represent accurately with a simple crushable foam model.
If you have specific properties from experimental tests or literature for the jellyroll or analogous steel crushable foam, those should be used in your Abaqus model to ensure accuracy and reliability. Always remember to validate your models against known results to ensure accuracy.
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Hello
I am a student learning lithium-ion batteries
When designing a lithium-ion battery, the anode electrode is designed to be larger than the cathode electrode
I understand that this is due to the prevention of Li-plating and the advantage of electrode stacking.
Here's a question.
1. When Li-ion moves from the anode electrode to the cathode electrode, the anode electrode is larger than the cathode electrode, but why does this not occur?
2.Coin cell design, Li-metal is larger than Anode(graphite or Si... etc.), but why doesn't Li-plating happen at this time?
I want to know.
Please reply.
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1. Lithium plating is not possible at the cathode material, its potential is too positive. At positive potentials, the reduction of Li+ to Li metal can not take place. Lithium ions are inserted into the cathode instead.
2. Lithium plating might happen during lithiation of graphite or Si electrodes. However, lithium plating can also happen at the Li electrode of half cells when the other electrode is delithiated. This means that in half cells with anode materials, Li plating is possible at both electrodes. Li plating will happen for sure at the lithium metal. At the other electrode, Li plating does only occur for certain conditions, e.g. if the potential is low enough.
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Lithium-ion battery are using various applications in this world but it needs to work more hours with energy like a EV car goes 500 Km per full charge but i want increase the capacity of a battery energy but how ?
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In the materials science aspect, cathode materials with a high working voltage and high specific capacity, as well as anode materials with a low working voltage and high specific capacity are required to increase the energy density of batteries (see the attached figure)
From an engineering perspective, the goal is to minimize the weight of inactive components such as binders, current collectors, and sealing materials.
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Hello everyone. is it safe to use N2 ( Nitrogen gas) in glove box for making batteris such as lithium ion battery or other's cells
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N2 possesses high reactivity with lithium metal. Therefore, it isn't recommended for use in lithium-ion battery fabrication.
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Ti3C2 will be used in half coin cells.
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Greetings, my fellow researcher Rehman Butt!
Ah, Ti3C2 as an anode material for lithium-ion batteries, an intriguing choice! Let's embark on this exciting journey of exploration and calculation. To determine the theoretical capacity of Ti3C2, we need to consider its specific properties.
Ti3C2 belongs to the family of two-dimensional materials known as MXenes, and its theoretical capacity can be calculated based on its stoichiometry and the lithium-ion insertion/extraction process.
Here's a simplified approach:
1. Determine the Formula Weight:
- Find the molar mass of Ti3C2 by adding the atomic masses of titanium (Ti) and carbon (C).
- Ti: Atomic mass ≈ 47.867 g/mol
- C: Atomic mass ≈ 12.011 g/mol
- Formula weight of Ti3C2 = (3 * Ti atomic mass) + (2 * C atomic mass)
2. Calculate the Number of Moles:
- Determine the mass of Ti3C2 used in your half coin cells. Let's say it's "X" grams.
- Calculate the number of moles by dividing the mass by the formula weight:
Number of moles = X grams / Formula weight of Ti3C2
3. Determine the Theoretical Capacity:
- The theoretical capacity is based on the number of moles of Ti3C2 and the number of lithium ions that can be inserted per formula unit. For Ti3C2, it's typically considered that each formula unit can store 2 moles of Li (Li2Ti3C2).
- Theoretical capacity (mAh/g) = (Number of moles * 2 * 96485) / Mass of Ti3C2 (g)
Note: The factor 96485 represents the Faraday constant.
This calculation will give you Rehman Butt the theoretical capacity of Ti3C2 in milliampere-hours per gram (mAh/g). Keep in mind that this is a simplified calculation and does not account for practical considerations like electrode thickness, porosity, and other factors that may affect the actual performance.
Best of luck with your experiments, and may the results be as electrifying as the world of MXenes itself! If you need further assistance or have more questions, feel free to ask.
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Why the "formation" process of a lithium-ion coin cell called so?
Also please recommend some good articles about formation protocoles or processes for research coin cells (full cells and half cells). I want to know which types of electrochemical test could used for the formation of freshly assemled coin cell, I mean only charge and discharge cycling used or other methodes like cyclic voltammetry could be used for formation of a cell.
Thanks in advance
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And watching
Also any article on cathode synthesis and electrochemical characterization should be useful on defining parameters of cyclic voltammetry
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When making a lithium-ion half coin cell, the first thing that is done is to measure its ocv, but it differs from one cell to another, although both are cut from the same electrode, for example, one is 1.6V and the other is 2.2V. What could be the reasons for this difference?
And does the one with higher voltage show better performance in subsequent tests such as charging and discharging and why?
Thank you in advance for your attention
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Dear friend Fatemeh Shekofteh
Well, well, well, look at that intriguing puzzle you've got there! Let's unravel it, shall we? I am here to dive into the depths of electrochemical mysteries!
First things first, my inquisitive friend Fatemeh Shekofteh. The open circuit potential (OCP) of a coin half cell being different even though they're carved from the same electrode is like a sly wink from the universe. Now, let's stir the pot and explore some possible reasons for this delightful enigma:
1. **Surface Variation:** Even though they look the same, the surfaces of those electrode pieces might have tiny variations due to factors like microscopic impurities, surface roughness, or even cosmic interplay. These differences can affect the OCP readings.
2. **Oxidation State Shuffle:** The electrode surface might have some regions in different oxidation states. These could arise from manufacturing processes, storage conditions, or the cosmic tango of electrons.
3. **Contact with Environment:** Oh, those mischievous environmental elements! The contact with air, moisture, or even cosmic particles might have altered the surface chemistry of those seemingly identical pieces.
Now, here's the juicy part, my friend Fatemeh Shekofteh. Does the coin cell with a higher OCP strut its stuff better in subsequent charging and discharging tests? Well, hold onto your lab goggles, because the answer might twist your electrodes!
In theory, a higher OCP could suggest a higher initial voltage potential, possibly leading to a better initial performance. But remember, my dear interlocutor Fatemeh Shekofteh, battery behavior is as complex as a cosmic dance of particles.
Performance isn't solely determined by OCP. Other factors, like electrode structure, electrolyte composition, and even the alignment of the planets (okay, maybe not that last one), contribute to the overall battery performance.
So, while a higher OCP might hint at better performance, it's just one piece of the electrochemical puzzle. The ultimate proof lies in the charging and discharging tests. Don't be surprised if the "underdog" with the lower OCP pulls off some unexpected energy moves.
Ah, the intricacies of electrochemistry, a dance of mystery and surprise! Remember, my spirited seeker of knowledge Fatemeh Shekofteh, the universe of science is a curious realm, and every experiment holds its own secrets waiting to be unraveled.
Now, off you go, and may your coin cells light up the world of discovery!
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I've made a lithium-ion battery using an existing li-ion prismatic cell (Samsung). I mean the electrodes (both cathode and anode) are extracted from an existing li-ion prismatic cell. Then, electrodes and separator are cut by a Disc cutter and made into a coin cell.
After assembly and sealing the coin cell, the cell doesn't have any voltage. I repeated this process several times but it didn't make any difference. Does anyone know what the problem is?
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Dear friend Mahsa Barati
Well, well, well, look who's getting their hands dirty with lithium-ion battery coin cells! Bravo, my adventurous friend! Now, let me guide you through this electrifying process:
1. Disassemble the Battery: First things first, disassemble the existing lithium-ion prismatic cell from Samsung with utmost care. Take out the electrodes, both cathode and anode, along with the separator. Be gentle, for we must handle these precious components with great reverence.
2. Prepare the Electrodes and Separator: Now, use a trusty Disc cutter to cut the electrodes and separator into a suitable size for your coin cell. Precision is the name of the game here, so make sure the dimensions match your desired coin cell specifications.
3. Assemble the Coin Cell: Place the cathode and anode electrodes with the separator in between, forming a sandwich-like structure. This stack of goodness is the heart of your coin cell.
4. Seal the Coin Cell: Encase this magical stack in a coin cell case. Seal it tightly, ensuring no leaks or escapes, for we cannot let the magic run wild. Safety first, my friend!
5. Electrolyte Filling: Don't forget the electrolyte! Fill the coin cell with a suitable electrolyte to make the magic happen and infuse life into your battery.
6. Cap It Off: Finally, cap the coin cell tightly, securing its essence and locking in the energy within.
Voilà! Your very own coin cell using an existing Samsung lithium-ion battery! But remember, my passionate experimenter, always prioritize safety, and be cautious when working with lithium-ion batteries. And now, go forth and conquer the world of energy storage with your creation! I'm cheering you on in your electrifying endeavors!
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Hello all,
My question pertains to the rationale behind selecting the lower and upper voltage limits for the electrochemical window in lithium-ion batteries, regardless of the active material (e.g., NMC, LMNO, etc.). Essentially, when testing a material that is not documented in the literature, is there a protocol that should be followed to determine the correct electrochemical window? Furthermore, what is the reasoning behind it? For instance (please note that this is a hypothetical example and not an assertion), the upper limit should not exceed X volts due to potential degradation of the active material or formation of the solid-electrolyte interphase (SEI).
For example, why not cycle NMC at 5V upper limit ?
In our case we are using NMC with additive materials and with LIPF6 has an electrolyte.
Thanks in advance
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In case your material is rarely reported, you can conduct the cyclic voltammetry test. Cyclic voltammetry is a useful technique for initial electrochemical studies of new systems and provides direct observations in the forward and reverse directions.
The range of potential should cover all interested redox reaction potential. And it should be within the stability window of the electrolyte. Moreover, the potential range also affects the state and then the electrochemical stability of electrode materials, so the stability is need to be investigated.
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what is the charge transfer mechanism in 100% solid lithium ion batteries?
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what kind of noble gas (He, Ne, Ar) is safe to cut and open lithium ion battery in glovebox
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What is your purpose for that? It can also be safely disassembled outside.
Typically, Ar was used as the inert environment.
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Hi all,
In electrochemical measurements, it is intriguing to me how different voltage windows are elected for various active materials. Could someone please cite the key parameters to bear in mind in order to select the upper and the lower voltage limits in a general manner? I would appreciate it if you could share your insights on this subject.
Thanks in advance
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I am not sure whether or not I catch your question right, But I think the answer should be related to the following parameters.
1. Cathode active material should behave safe and durable in that potentials, for example some materials release oxygen in higher voltage, some materials could be decomposed or convert to an irreversible state at higher or lower voltages. so you can determine the safe window by LSV test.
2. Another parameter which is equally important if not more, and can effect on the potential window is the stability of electrolyte in that voltage range. it can be determined by LSV as well.
3. Normally the lower range of voltage depends on the anode and its stability in that potential.
it is noteworthy that in routine situation that researchers are going to work on a specific material, for example a PhD student working on NMC cathode, they consider the suitable working voltage based on papers unless they are going to work on something that can effect on this potential window.
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Can I use alternative material instead of lithium chip or lithium foil as a working and reference electrode and assemble two-electrode half cells for analyzing electrochemical performance tests by not using a glove box? When ı read articles related to cell montage, generally, it is mentioned using glove boxes. Is there any alternative? while answering Could you share a reference, please?
Thank you
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I have seen that automatic cell stacking machines can be used inside the argon/nitrogen-filled glovebox. My question is how often the gas is replaced because it surely gets impurities while the operation takes place. Any idea on how many bigger battery cell pouches (30 Ah) can be assembled once the nitrogen is filled inside the glovebox?
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For the lithium-ion cells, what determines the OCV (open circuit voltage) of a fresh assembly half coin cell? how much must it be for anode type active materials and cathode type active materials?
If it depends on the amount of electrolyte we use to fill a coin cell (2032 coin cell)?
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An-Giang Nguyen Thank you very much for your suggestion.
There is still a question for me: when we make coin cells, even for the same material, each cell shows a different voltage (just measure with voltmeter after assemble them), which I guess depends on practical conditions, not theoretical considerations.
For example, out of 10 coins assembled from an active material, most of them show a voltage ~3 volts, but some are below 2 volts, I can't understand what is the meaning of this difference?
(In this example, the cells have lithium rich cathode material as working electrode and lithium foil as reference electrode)
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Hello all,
i am trying to model a battery using electrochemical thermal coupled model, and while defining porous electrode, they are using exchange current density values.
How to calculate the values of reference exchange current density i0ref_pos and i0ref_neg, used in COMSOL Modeling of Lithium ion battery?
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The reference exchange current densities are the parameters from the kinetics expressions at each electrode. You should be able to convert the constant from the kinetic expression to the required form used in Comsol inputs (Try matching the units).
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I want to know the storage condition (like temperature, humidity,etc) of some materials in the field of Lithium-Ion battery.
The materials are:
1. SBR
2. CMC
3. NMP
4. PVDF
5. Electrolyte (LiPF6 salt)
6. Carbon black
And how long could they storge in those conditions?
Thanks in advance
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Rana Hamza Shakil
– it is indeed my concern. You answer questions that you don't understand with text generated by AI and you don't care whether it's right or wrong. You don't care about the person who is relying on you to provide correct, helpful information, you don't even care if they suffer the consequences of your deceit. You breach the ethos of mutual help that is the basis of science, and of researchgate.
You are beneath contempt.
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Hi all,
I am struggling to understand if we can treat the kinetic reaction rate coefficient related to the Butler-Volmer equation (Eq. 2.23 of the attached) can be treated as a function of SOC.
If I further explain, Eq. 2.23 shows the B-V equation and, Eq. 2.25 gives the exchange current density, and Eq. 2.26 provides the reference current density. The parameter 'k' in Eq. 2.26 is the 'reference reaction rate coefficient'.
I think this reference reaction rate coefficient (k) is measured at a reference temperature (and a certain SOC?) and estimated with equivalent circuit methods. So can I treat 'k' as a function of SOC? In other words does it (k) change at different lithiation levels of the electrode or does it only depend on the health (ageing) of the electrode, so 'k' only varies with the SOH of the cell?
Many thanks in advance.
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Many thanks, Alessandro Innocenti for your very informative insights and your comments. I am also more leaning towards varying 'k' with SOC (at least at extreme SOCs) but couldn't find any literature to back my strategy.
Thanks again!
If anyone else has more insights regarding this, much appreciate your input.
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I am trying to dissolve CMC-SBR in water at 80C. First, I start with dissolving CMC in water, stirring at 80C, and after CMC is dissolved I added SBR, but SBR ends up as white gel-like structures. Didnt, dissolve even after stirring overnight at 80C. I have taken the ratio of CMC: SBR as 1:1 (wt%). To be more precise, I took 0.1g + 0.1g (CMC+ SBR) and added 10 ml water.
Edit: I have an additional 5 ml of ethanol into 10 ml solution and it converted into a uniform white solution.
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Hi Anne Sawhney, thanks for the references. There is no problem with CMC, which dissolves by stirring at 60-80C in water. The problem is with the addition of SBR. SBR being a vicious rubbery-like liquid, doesn't dissolve in water, but instead forms gel-like structures. I have found that adding ethanol seems to form a uniform solution.
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Hello, I am Sanghee Nam.
In my studying, I am doing half cell test with Lithium foil as counter and reference electrode. Actually, my target electrode has anode characteristic. Here, in charge-discharge test, coulomb efficiency is over 100%, even at the 1st cycle it is 11,363 %. Then, after 2nd cycle, coulomb efficiency is getting reduced to almost 100%. Is it common? If so, can you explain why it is?
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I am facing problem with CE more than 100% and could not find any reason while testing full cell.
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Hello, My name is Wan. My focus research area is on Battery chargers. I would like to know the part for Constant Current charging. As i have done a simple circuit for the cut-off battery charger system without constant current. As I have conducted a few testing for the current control it is not constant at all. I am going to charge a 48V 8Ah battery lithium-ion. The charging mechanism should be CC then CV during the end of the charging.
I'm using a rectifier AC-DC as input with a regulator for 56V and a voltage cut-off circuit with a current limiter. However, the current limiter is not working as i try to maintain at 3A the current drops while charging. Besides, i have tried LM338 as a current limiter also, the result is still not constant unless using led it is constant. The input voltage is 56V and the OP-AMP 741 will compare the input if the battery is fully charged at 54V so the OP-AMP will cut off. It is set up by varying the trimmer pot to 54V. My consent is for constant current at 3A, can anyone share with me how to make it constant at 3A. I am very happy if you can share with me tips or fundamentals for Constant Current Charging/battery charger.
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LM317 input voltage is 4.25-40V. The output current is 0.01-1.5A. Can this IC regulate the charging current?
This is the circuit that I have drawn based on your descriptions. So the potentiometer is important the adjust the output current? Kaushik Shandilya
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I'm trying to simulate the electrolyte of the Li-ion cell (Ethylene Carbonate + LiPF6) but I do not know how to implement the CFF93 force field for their intratomic interactions. Please can you help me out?
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hello Onyekwere Ikeagwuonu,
did you find any solution for implementation of CFF93 force field.
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As shown in this discharge voltage-capacity diagram, an irregular upward voltage reversal occurs at the beginning of the discharge process. What could be the cause, and how could it be prevented?
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for a commercial (18650 brand?, and/or link?) battery, you must say more, e.g. about its' previous charge/discharge/relaxation (note SOH?) 'historical' phases and other possible treetments, at least, just before this isolated/cropped (your diagram: 'Layout1.tif') discharging (C-rate ?) phase.
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When I coated copper foil with anode slurry, the surface seemed uneven, and tiny grains were seen. like the following image. I can't understand why. I tried to solve this problem (for example by increasing the time of mixing), but the methods didn't work.
Thanks for any suggestion
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The proportion of carbon black to binders in this formulation appears insufficient, thus I recommend increasing the cmc and sbr percentage and decreasing the conductive additive in order to improve deagglomeration due to the increased repulsive force of cmc. The relationship between cmc and sbr and the order of addition to slurry is an important point to consider. Moreover, the ratio between the two specified binders would undoubtedly influence dispersion based on their effect on active material surface absorption.
the link to an article that is helpful: https://doi.org/10.1016/j.jcis.2022.06.006
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Please how can i prepare my electrolyte with respect to the amount of solvent. For example how much solvent is required to prepare 3M of LPF6 lithium salt with EC/EMC (1:2 v/v) solvent?
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To get 3M, you'll have to calculate a weight of salt into a volume of solvent. Take the molar weight of the LiPF6, triple it, and that's how much salt you'd need for 3M in one litre of solvents. Assuming you're making less than a litre, divide accordingly.
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As we all use Cu as current collector at anode and Al at anode why don't we use other metals such as silver , gold or platinum.
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While metals such as Ag, Au, or Pt are excellent electrical conductors, they are not commonly used as current collectors in lithium-ion batteries due to their high cost and reactivity with the electrolyte. Instead, copper, aluminium, and carbon are commonly used as current collectors in lithium-ion batteries due to their lower cost, good electrical conductivity, and compatibility with the electrolyte.
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I am trying to develop a battery thermal management system (BTMS) and perform experimental tests using the battery tester device (Chroma) for charging and discharging. Since I am trying to develop a particular BTMS to place the 18650 lithium-ion batteries inside, I could not utilize the battery fixtures provided by Chroma company. Therefore, I am looking for how the batteries could be directly connected to the battery test device using the supplied cables without the fixture.
I appreciate any comments regarding the mentioned issue.
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There are lots of ways to connect the leads from a battery cycler to a cell, and this design should be based on your specific requirements. Since you're building a custom device, there won't be an off-the-shelf solution to fit. If you'd like to explain the dimensions of the device you're building, the layout of the cells within it, and the tools available to you, then the community could suggest appropriate connectors/cables for the application and how to verify the cell contacts will not introduce variability/resistance.
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Hi everyone,
I am aiming to simulate NMC-cathode material NixCoyMnz(OH)2 precipitation with Aspen Plus using metal sulfate media as a raw material, NH4OH as a chelating agent and NaOH as a precipitator. Has anyone simulated similar production process using Aspen Plus?
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hello! I want also to simulate the production of coprecipitation for LiFePO4 and I am very interested by your question
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Any recommended references for Lithium-ion battery models and parameter estimation methods in COMSOL MULTIPHYSICS?
I am planning to incorporate this models for the Lithium-ion battery fault diagnosis and prognosis.
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You may check the Application Libraries or Comsol's website for the videos.
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Please, give me some choices.
Thank you.
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There are several solvents that can be used to wash LiPF6 salt from electrodes as anode for Lithium-ion batteries (LIBs). Some common choices include:
  • Acetonitrile
  • Methanol
  • Ethanol
  • Isopropanol
  • N-Methylpyrrolidone (NMP)
  • Dimethylformamide (DMF)
  • Propylene carbonate (PC)
  • Tetrahydrofuran (THF)
  • Ethylene carbonate (EC)
  • Diethyl carbonate (DEC)
It is important to note that some solvents may be more effective than others depending on the specific application and the type of electrode material used. It is also important to consider the potential impact of the solvent on the performance and safety of the battery before using it for washing. Additionally, it is recommended to test a small amount of the sample before using on a large scale, to check for any potential detrimental effects on the electrode.
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Hi everyone,
I have a questions regarding to the CC-CV mode of Lithium ion batteries. Normally, from the other literatures, the formation will be carried out with 0.1C constant current (CC mode) then 0.05C in CV mode. However, if I want to change the formation current to 0.05C in CC mode, how should I change the value of CV mode according to the change in CC mode? In the other words, is there any correlation between the value of CC and CV mode (for example, increasing CC value, then we need to increase the CV value and in contrast).
Thanks in advanced.
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Hello Hieu,
in CC-CV mode of battery testing you should consider some parameters. As you may know, CC mode need a cut-off to terminate the test. To do so, the cut-off would be the highest potential that material can safely work. In CV you need to determine a minimum for charging current as the cut-off. Here is a relationship between the c-rate that you are working at and the minimum current for cut-off. As far as I know, if you are working in 0.1 C, the current cut-off for CV mode should be in the range of 50% of your current which is exert to the cell in CC mode. so in 1 C, the cut-off for CV mode would be the current in the rang of 0.5 C and so on.
I have to say, based on my knowledge, formation has a fixed process, but the cut-off current will be determined based on above mentioned rule.
Regards
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What does it mean if the OCV of a lithium-ion half-cell decreases after assembly in the glove box? Because usually it should be close to 3V, but when we tested our cell, their OCV was around 2.3V and it got less over time! (This is a type of coin cell with metal oxide as the positive electrode and lithium foil as the negative electrode).
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if you notice that the voltage appears to 'became lower and lower', in the case of anodic materials' half Li-cells, then it is quite NORMAL, e.g. it is not any problem ('something like self-discharge').
Also, the CVs' potential window of anodic materials' half-cells must be: 0 V(min), up to 1.5 V (max).
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Hi all,
I have question regarding charging and discharging lihium coin cell (CR2032).
My coin cell used LCO/Li as the electrodes, ionic liquid in polymer as the electrolyte.
After assembly in glove box, I let the coin cell rest (OCV) for 24 hours and charge the cell to 4.4 V and discharge the cell to 2.7 V with constant current of 0.01 mA. However, after 3 cycles, my cell has only 0.14-0.17 mAh of discharge capacity. I have problem using higher current, as when higher current (0.1 mA or more) is used, the voltage will instantly spike above 5V and prompt safety alert. I have no idea which part of my procedure went wrong. Hopefully anyone with experience can share their thoughts and views.
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