Wei Li

Wei Li
Chongqing University | CQU · College of Mechanical and Vehicle Engineering

Ph.D

About

50
Publications
8,779
Reads
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526
Citations
Introduction
Wei Li is currently working at the College of Mechanical and Vehicle Engineering, Chongqing University, Chongqing, China. His current research interests include energy storage system design optimization, risk/robust/reliability design optimization, multidisciplinary design optimization, and low-carbon design.
Education
September 2017 - June 2020
Huazhong University of Science and Technology
Field of study
  • Mechanical Engineering

Publications

Publications (50)
Article
Analytical target cascading (ATC) is a generally used hierarchical method for deterministic multidisciplinary design optimization (MDO). However, uncertainty is almost inevitable in the lifecycle of a complex system. In engineering practical design, the interval information of uncertainty can be more easily obtained compared to probability informat...
Article
Full-text available
An energy-storage system comprised of lithium-ion battery modules is considered to be a core component of new energy vehicles, as it provides the main power source for the transmission system. However, manufacturing defects in battery modules lead to variations in performance among the cells used in series or parallel configuration. This variation...
Article
To investigate the combined effects of calcination temperature and carbon nanotube (CNT) proportion, we have synthesized LiFePO4 (LFP) using hydrothermal process using glucose at various calcination temperatures (600 °C, 700 °C, 800 °C). The morphology of the synthesized LFP was investigated by Scanning electron microscope (SEM). Structural changes...
Article
Design optimization of complex engineering problems often involves multiple disciplines or subsystems that usually exist couplings or data interactions with each other. Multidisciplinary design optimization (MDO) is an advanced methodology to deal with such problems. Besides, uncertainty is a crucial factor affecting the performance of complex syst...
Article
Full-text available
As the core component of electric vehicles (EVs), the performance of electric motors directly affects the economy and safety of EVs. Manufacturing tolerances will cause the actual performance parameters of the motor to deviate from the expected value, resulting in a reduction in motor service life. This paper presents a reliability-based design opt...
Article
Full-text available
The rapidly changing requirements of engineering optimization problems require unprecedented levels of compatibility to integrate diverse uncertainty information to search optimum among design region. The sophisticated optimization methods tackling uncertainty involve reliability-based design optimization and robust design optimization. In this pap...
Article
Battery Thermal Management System (BTMS) is crucial to maintain peak temperature and temperature difference of lithium-ion battery pack in appropriate range, thus ensuring best performance, extended cycle life and safety. Liquid cooling BTMS is extensively researched for prismatic cells, but only a few studies are present on application of liquid c...
Article
To avoid severe resource waste and environmental pollution problems, research on the retirement of power lithium-ion batteries (LIBs) for electric vehicles (EVs) has attracted significant attention. Echelon utilization is one of the most prevailing strategies to solve the problems of reusing retired LIBs. In this paper, we present a clustering and...
Article
This paper presents an adaptive boosting charging strategy incorporating the capacity estimation method based on the operation parameters, which is used for the state estimation and the adaptive adjustment of the charging strategy during the charging/discharging cycling process. Firstly, a coupling thermoelectric-aging battery model involving secon...
Article
Electric vehicles (EVs) have been substantially favored by consumers in recent years. However, long charging time, high battery purchase costs (BPC), and large charging load limit the development of EVs. The battery swapping scenario could solve the above problems well. This paper presents a battery centralized scheduling strategy (BCSS) in the bat...
Article
Full-text available
Multidisciplinary robust design optimization (MRDO) is a useful tool to improve the stability of the performance of complex engineering systems involving uncertainty. However, the majority of existing MRDO studies only consider the parameter uncertainty. Metamodeling uncertainty, defined as the discrepancy between the computer model and metamodel a...
Article
The moving components and servo control systems of computer numerical control (CNC) machine tools spent a substantial energy but received less attention regarding energy saving. This article presents a novel energy saving methodology of feed system using a data-model hybrid driven design optimization approach for the integrated design of moving com...
Article
Full-text available
Lithium-ion batteries have become a core component of electric vehicles (EVs) because of their high energy density. However, several issues in lithium-ion batteries usage, such as safety, durability, charging time, and driving range, limit the development of EVs. Meanwhile, with the emergence of Industry 4.0, the digital twins technology has receiv...
Article
Battery technology has been a hot spot for many researchers lately. Electrochemical researchers have been focusing on the synthesis and design of battery materials; researchers in the field of electronics have been studying the simulation and design of battery management system (BMS); whereas mechanical engineers have been dealing with structural s...
Article
Lithium-ion batteries are currently the primary source of power for electric vehicles (EVs), but the batteries are sensitive to temperature changes. Excessively high or low temperatures will affect the batteries performance, causing thermal runaway and safety accidents. The battery thermal management system (BTMS) can maintain the batteries within...
Article
Predicting discharge capacities of Lithium-ion batteries (LIBs) is essential for safe operation of the battery in Electric Vehicles (EVs). In this paper, a Convolutional Neural Network-Long Short Term Memory (CNN-LSTM) based deep learning is proposed to estimate the discharge capacity of LIBs. The parameters such as the voltage, current, temperatur...
Article
Permanent magnet synchronous motors (PMSM) have been substantially used in electric vehicles (EVs) due to their advantages such as low loss, large torque, and high power density. With the continuous improvement of the PMSM performance requirements, its heat dissipation has also attracted increasing attention. This paper proposes a cooling system to...
Article
Lithium batteries are commonly used as the primary power storage unit for electric vehicles, and their performance is sensitive to temperature. Thus, the battery thermal management system is crucially needed to allow the EVs to work safely and efficiently. This paper mainly focuses on the performance analysis and design optimization of the battery...
Article
Full-text available
Energy consumption prediction of a CNC machining process is important for energy efficiency optimization strategies. To improve the generalization abilities, more and more parameters are acquired for energy prediction modeling. While the data collected from workshops may be incomplete because of misoperation, unstable network connections, and frequ...
Article
Full-text available
Battery thermal management system (BTMS) has significant impacts on the performance of electric vehicles (EVs). In this research, a computational fluid dynamics (CFD) coupled multi-objective optimization framework is proposed to improve the thermal performance of the battery pack having metal separators. CFD is utilized to study the thermal and flu...
Article
Full-text available
The reliability and performance of lithium‐ion battery implemented in electric vehicles (EVs) is greatly influenced by temperature. However, there is yet to have a systematic battery thermal strategy due to the poor understanding of battery thermal behavior. Although several heat management systems have been proven to be functional in regulating th...
Article
Temperature is a significant factor affecting performance and safety of energy storage systems such as battery packs. How to design a reliable battery thermal management system (BTMS) is still a hot issue at present. Most of the past researches have focused on methods of reducing temperature rise. This paper mainly studies how to reduce the tempera...
Article
To solve a series of thermal runaway problems caused by temperature and the cost problem caused by the excessive volume of the battery thermal management system (BTMS), this paper presents a novel air cooling BTMS which reduces the temperature and volume. In this study, we install the spoilers in the battery gap spacing, which can effectively impro...
Article
Electric vehicles (EVs) have been widely cherished by consumers in recent years. However, as the number of EVs continues to increase, the number of retired power batteries will also increase, especially retired power lithium-ion batteries (LIBs), which will cause serious energy waste. To reuse sufficiently retired power LIBs, we studied the remaini...
Article
Full-text available
Battery thermal management system (BTMS) has significant impacts on the performance of electric vehicles (EVs). In this research, a computational fluid dynamics (CFD) coupled multi-objective optimization framework is proposed to improve the thermal performance of the battery pack having metal separators. CFD is utilized to study the thermal and flu...
Preprint
Battery thermal management system (BTMS) has significant impacts on the performance of electric vehicles (EVs). In this research, a computational fluid dynamics (CFD) coupled multi-objective optimization framework is proposed to improve the thermal performance of the battery pack having metal separators. CFD is utilized to study the thermal and flu...
Article
For lithium‐ion batteries (LIBs) used in electric vehicles (EVs), their performance is greatly affected by temperature. To ensure the safety and reliability of EVs, a reliable and efficient battery thermal management system (BTMS) is essential. This paper mainly analyzes air cooling BTMS. First, we propose an air‐cooling heat dissipation method for...
Article
Past studies focused on proposing new materials for batteries components, state of health (SOH) prediction, thermal design, equivalent circuit modeling, and so on. Those studies have been implemented on individual basis on a single battery or battery pack. However, there is hardly any research found that encompasses all the multidisciplinary aspect...
Article
The power of electric vehicles (EVs) comes from lithium-ion batteries (LIBs). LIBs are sensitive to temperature. Too high and too low temperatures will affect the performance and safety of EVs. Therefore, a stable and efficient battery thermal management system (BTMS) is essential for the performance and safety of an EV. This article has conducted...
Article
Full-text available
Existing literature focus on the prediction of states of batteries are scattered and are individually studied based on several battery aspects such as: 1) Chemical (ionic concentration measurement or diffusion coefficient evaluation), 2) Electrochemical (capacity), 3) Electrical (internal resistance), 4) Thermal (temperature), 5) Mechanical (stack/...
Article
The development of fault diagnosis of Li‐ion batteries used in electric vehicles is vital. In this perspective, the present work conducted a comprehensive study for the evaluation of coupled and interactive influence of charging ratio, number of cycles, and voltage on the discharge capacity of Li‐ion batteries to predict the life of battery. The ch...
Article
Battery thermal management system (BTMS) is a research hotspot of electric vehicles (EVs). Common BTMS schemes include air cooling, liquid cooling, and phase change materials (PCMs). Air cooling BTMS is widely used in EVs because of its simplicity, high efficiency and low cost. However, in the past, air cooling BTMS research focused on inlet flow,...
Article
Lithium-ion batteries are currently being produced and used in large quantities in the automobile sector as a clean alternative to fossil fuels. The thermal behavior of the battery pack is a very important criterion which not only is essential for safety but also has an equally important role in the capacity and life cycle of the batteries. Liquid...
Article
It is predicted that by 2025, approximately 1 million metric tons of spent battery waste will be accumulated. How to reasonably and effectively evaluate the residual energy of the lithium-ion batteries embedded in hundreds in packs used in Electric Vehicles (EVs) grows attention in the field of battery pack recycling. The main challenges of evaluat...
Article
Full-text available
The collaboration pursuing method (CPM) is a computationally efficient approach for deterministic multidisciplinary design optimization (MDO). However, it has not been employed to handle problems with uncertainty. Moreover, obtaining actual uncertainty probability distributions is challenging. Compared to probability distributions, the interval inf...
Article
There are a number of government directives and regulations as well as many public schemes on the recycling of batteries, in spite of this; the quantity of batteries that are actually recycled is still very low. Current production capacity cannot meet projected demand of Lithium-ion batteries. To counter this, the reclamation and repurposing of met...
Article
There have been increased investments in cleaner technologies and adoption of a voluntarily limit on transportation emissions by the global firms to handle the environmental concerns of supply chains and to increase demand for finished goods. Consequences are the reduction in net profit for the firm. To address this trade-off between the net profit...
Article
Model uncertainty, defined as the difference between the actual physical system and the computer model, is usually overlooked in robust optimization (RO). In addition, engineering systems are often comprised of several subsystems or disciplines. The coupling characteristic between different disciplines incurs the difficulty of solving multidiscipli...
Article
In complex engineering systems, metamodels are extensively used to replace the computationally expensive simulation and analysis process. Different metamodels can be constructed by using different metamodeling techniques. Uncertainty exists in selecting the best metamodel among a set of alternatives. This study introduces an effective method based...
Article
Lithium‐ion battery packs have been generally used as the power source for electric vehicles. Heat generated during discharge and limited space in the battery pack may bring safety issues and negative effect on the battery pack. Battery thermal management system is indispensable since it can effectively moderate the temperature rise by using a simp...
Article
Full-text available
Uncertainties widely exist in complex engineering systems. Robust design is one of the most used method for designing under uncertainty and has been gaining more attention. For the wide range of uncertainties, this article proposes a multidisciplinary robust design optimization method based on the set strategy. In this method, a robust design model...
Article
The battery packs in electric vehicles usually operate at high current discharge rates which leads to the higher heat generation. This may have safety issues and negative impact on the battery performance over the period. Existing researches focused more on the configurations and design of battery cells/modules arrangements to reduce the maximum te...
Article
The performance of complex mechanical systems often degrades over time primarily due to time-varying uncertainties. Improving the design of such systems entails addressing time-varying uncertainties through Multidisciplinary design optimization (MDO). In this study, a multidisciplinary robust design optimization method that is based on time-varying...
Article
Full-text available
Complex mechanical system is usually composed of several subsystems, which are often coupled with each other. Reliability-based multidisciplinary design optimization (RBMDO) is an efficient method to design such complex system under uncertainties. However, the present RBMDO methods ignored the correlations between uncertainties. In this paper, thro...
Article
Uncertainty analysis is a hot research topic in multidisciplinary design optimization for complex mechanical systems. Existing multidisciplinary design optimization works typically assume that uncertainties are uncorrelated of each other. In real-world engineering systems, however, correlations do exist between different uncertainties. The multidis...
Article
Full-text available
Degradation failure is one of the main reasons for complex mechanical systems losing their functions. Research on multidisciplinary design optimization under uncertainties should shift from static uncertainties to time-varying uncertainties. Aiming at time-varying uncertainties in mechanical systems, we put forward a multidisciplinary reliability d...

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Projects (3)
Project
We are editing a Special Issue entitled “Trends and Prospects in Lithium-Ion Batteries” from the open access journal–"Batteries" from Switzerland (Indexed by SCIE in WoS, CiteScore: 5.7). https://www.mdpi.com/journal/batteries/special_issues/TPLIB The present Special Issue invites researchers to submit original research articles, short communications, and review articles on the technological developments and application prospects of LIBs. Topics of interest include but are not limited to:  Design of new type LIBs  Physics analysis of LIBs  Modeling and optimization of LIBs  Design of battery management system  Parameter estimation of LIBs  Fault warning of LIBs  Thermal, mechanical and electromagnetic coupling of LIBs  New application scenarios for LIBs  Artificial intelligence application in LIBs  Scheduling problem of LIBs  Design of hybrid energy storage system I would like to invite you and your team to contribute a Article/Review to this Special Issue. Thank you for your attention and I hope to hear from you soon. Best regards,
Project
Most of the existing energy efficiency studies of machine tools consider the operating phase of the machine tool and focus on the optimization of machine tool process parameters to improve the energy efficiency of the machine tool during the operating phase, but this does not change the essential attributes of energy efficiency of the machine tool. In view of this problem, this project starts from the design stage of the machine tool. This project will form a set of data-model hybrid driven high energy efficiency design optimization theory and method system of machine tools.
Project
This project mainly focuses on electrolyte optimization, electrode material research, SOH/SOC/SOE, intelligent configuration (assembly), thermal design(air/liquid/PCM), mechanical safety, and battery recycling for the battery pack design of EVs.