
Vanessa QuinteroTechnological University of Panama | UTP · Facultad de Ingeniería Eléctrica
Vanessa Quintero
Doctor of Engineering
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33
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Introduction
Skills and Expertise
Publications
Publications (33)
Due to the constant growth in energy demand worldwide, renewable systems require more maintenance and electrical energy generation, which also involves an increase in storage capacity. Solar energy is one of the renewable sources with the greatest opportunity to cover this increasing demand as it promises in areas of power generation for residentia...
The remarkable growth of urban areas is a scenario faced by many cities due to the high rate of population that migrates to these zones, increasing the heat stored in the built environment creating insurmountable microclimatic conditions within the metropolitan area for pedestrians. Such microclimatic conditions might cause the unfeasibility of usi...
Recent developments in lithium-ion (Li-ion) storage technology have enabled a revolution in the automotive industry. Fully electric vehicles (EVs) operate under the most diverse combination of driving and environmental conditions affecting the autonomy range. In other words, an equal state-of-charge (SOC) on two same model EV does not mean the same...
This work has its origin in the growing demands of energy regulations to meet future local targets and to propose a global implementation framework. A literature review related to conventional electrical energy storage systems has been carried out, presenting different cases analyzed at building scale to deepen in nature-inspired processes that pro...
Las baterías han sido parte de nuestra vida por más de 100 años. Ellas han sido utilizadas en diferentes aplicaciones desde una simple calculadora científica hasta en vehículos eléctricos, robots y satélites. A través de los años diversos tipos de baterías han sido fabricados todos con la finalidad de mejorar su rendimiento. En la actualidad las ba...
One of the main challenges in prognostics corresponds to the estimation of the probability density function (PDF) of the system’s time-of-failure (ToF) prior to reach a fault condition. An appropriate characterization of the ToF-PDF will let the user know about the remaining useful life of the system or component, allowing the users to prevent
cat...
Nowadays, electric vehicles such as cars and bicycles are increasing their popularity due to the rising environmental consciousness. The autonomy required by these means of transport has marked a significant and steady growth in the development of battery technologies. In this sense, it is crucial to estimate and prognosticate critical parameters o...
Characterizing the degradation process of lithium-ion (Li-ion) batteries is still a matter of ongoing research due to the diverse operating conditions at which they are submitted. For example, different current discharge rates and asymmetrical charge/discharge cycles are critical operating conditions that affect both the performance and the lifespa...
Duty cycling is a technique that has been implemented in medium-access-control protocols to reduce the listening time and minimize energy consumption in wireless sensor networks. This technique manages the active and sleep modes to reduce the energy consumption of the sensor nodes, sending the node to sleep mode more frequently as the energy is dra...
Energy conservation is a subject of great interest in Wireless Sensor
Networks (WSNs). Various techniques have been proposed to minimize
the energy consumption. One approach is to design Medium Access
Control (MAC) protocols capable of adjusting the sensor node’s cycle
according to the available energy in the battery. The State of Charge
(SOC) is a...
The pervasiveness of wireless sensor networks (WSNs) across different applications keeps increasing due to their versatility, although energy consumption is a huge constraint for these types of networks. Therefore, it is essential to incorporate consistent and reliable energy sources. Mobile nodes require independent sources, often composed of a ba...
Diverse methods and considerations have been proposed to manage the available energy in an efficient manner in Wireless Sensor Networks. By incorporating Energy Harvesting Devices in these type of networks it is possible to reduce the dependency of the availability of the Energy Storage Devices, particularly the lithium-ion battery. Recently, the S...
Diverse methods and considerations have been proposed to manage the available energy in an efficient manner in Wireless Sensor Networks. By incorporating Energy Harvesting Devices in these type of networks it is possible to reduce the dependency of the availability of the Energy Storage Devices, particularly the lithium-ion battery. Recently, the S...
The use of energy storage devices, such as lithium-ion batteries, has become popular in many different domains and applications. Hence, it is relatively easy to find literature associated with problems of battery state-of-charge estimation and energy autonomy prognostics. Despite this fact, the characterization of battery degradation processes is s...
This article proposes a Similarity-Based-Modeling (SBM) approach capable of characterizing the degradation process of a lithium-ion (Li-ion) battery when discharged under different current rates and different State-of-Charge (SOC) ranges. The degradation process can be represented through a biex-ponential model. Understanding the degradation proces...
Depending on the application, power and energy requirements may differ significantly and, most likely, a single lithium-ion cell will not suffice. Battery packs offer cell interconnections that allow to obtain several possible voltage and discharge current ratings. Typically, the battery packs are designed to meet the specifications of the applicat...
Criminal risk models are used to assist security forces both in the identification of zones with high of criminal activity for better resource allocation and prediction of future criminal events for the prevention of new crimes. In this sense, spatio-temporal models are widely employed by their capacity of characterizing the criminal risk inside of...
This research proposes a method for energy management in electric bicycles with Lithium-Ion batteries. This method optimizes the way energy is consumed to maximize the rider's comfort, subject to constraints on the battery State-of-Charge once destination is reached. The algorithm considers the elevation profile of the route chosen by the rider, pr...
This research proposes a method for energy management in electric bicycles with Lithium-Ion batteries. This method optimizes the way energy is consumed to maximize the rider’s comfort, subject to constraints on the battery State-of-Charge once destination is reached. The algorithm considers the elevation profile of the route chosen by the rider, pr...
Criminal risk models are used to assist security forces both in the identification of zones with high of criminal activity for better resource allocation and prediction of future criminal events for the prevention of new crimes. In this sense, spatio-temporal models are widely employed by their capacity of characterizing the criminal risk inside of...
Manufacturers of lithium-ion batteries inform capacity degradation for regular, symmetrical charge/discharge cycles, which is clearly problematic in real life applications where charge/discharge cycles are hardly regular. In this context, this paper presents a methodology that can model the degradation of lithium-ion batteries when these are charge...
Energy independence is a wireless device quality that demands the utmost exigency. Energy harvesting devices alleviate the energy constraints demanded by these devices and with the use of protocols, such as VST-TDMA energy self-sustainability can be attained at the cost of throughput. To allow high throughput levels and self-sustainability simultan...
Energy independence is a wireless device quality that demands the utmost exigency. Energy harvesting devices alleviate the energy constraints demanded by these devices and with the use of protocols, such as VST-TDMA energy self-sustainability can be attained at the cost of throughput. To allow high throughput levels and self-sustainability simultan...
We present the implementation of a particle-filtering-based framework that estimates the State-of-Health (SOH) and predicts the End-of-Life (EOL) of Lithium-Ion batteries, efficiently incorporating variations of ambient temperature in the analysis. The proposed approach uses an empirical state-space model, in which inputs are explicitly defined as...
We present the implementation of a particle-filtering-based framework that estimates the State-of-Health (SOH) and predicts the End-of-Life (EOL) of Lithium-Ion batteries, efficiently incorporating variations of ambient temperature in the analysis. The proposed approach uses an empirical statespace model, in which inputs are explicitly defined as t...
Battery energy systems are currently one of the most common power sources found in mobile electromechanical devices. In all these equipment, assuring the autonomy of the system requires to determine the battery state-of-charge (SOC) and predicting the end-of-discharge time with a high degree of accuracy. In this regard, this paper presents a compar...
Battery energy systems are currently one of the most common power sources found in mobile electromechanical devices. In all these equipment, assuring the autonomy of the system requires to determine the battery state-of-charge (SOC) and predicting the end-of-discharge time with a high degree of accuracy. In this regard, this paper presents a compar...