Data-driven model development to predict the aging of a Li-ion battery pack in electric vehicles representative conditions

•A generic aging model of lithium-ion batteries has been developed and presented.•This model is independent of the aging mechanism's knowledge.•The calibration of the model is easy and fully automated.•The model has been validated on several profiles including PHEV. An empirical generic Li-ion...

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Published inJournal of energy storage Vol. 39; p. 102592
Main Authors Mingant, Rémy, Petit, Martin, Belaïd, Sofiane, Bernard, Julien
Format Journal Article
LanguageEnglish
Published Elsevier Ltd 01.07.2021
Elsevier
Subjects
Aging
Computer Science
Easy training
Electric power
Engineering Sciences
Environmental Sciences
Generic model
Li-ion battery
Modeling and Simulation
State of health
Aging
Generic model
Easy training
Li-ion battery
State of health
State of Health
Generic Model
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Abstract •A generic aging model of lithium-ion batteries has been developed and presented.•This model is independent of the aging mechanism's knowledge.•The calibration of the model is easy and fully automated.•The model has been validated on several profiles including PHEV. An empirical generic Li-ion aging model, compatible with a large number of aging mechanisms without their a priori knowledge has been developed as well as a calibration methodology allowing its fast and automated parameter setting. This model has been applied to simulate the aging behavior of a 26 Ah cell. To train this model, a large aging test campaign has been conducted dedicated to both calibration and validation purposes. This one takes into account calendar, cycling, and their combinations. Based on the design of the aging campaign it is able to account for the effect of State Of Charge, temperature and current on aging. As its calibration is based on an automated process, it can be trained automatically and does not need expert knowledge for operation. Simulation data are validated to a 2% error in comparison to experimental data and is then validated for automotive applications.
AbstractList •A generic aging model of lithium-ion batteries has been developed and presented.•This model is independent of the aging mechanism's knowledge.•The calibration of the model is easy and fully automated.•The model has been validated on several profiles including PHEV. An empirical generic Li-ion aging model, compatible with a large number of aging mechanisms without their a priori knowledge has been developed as well as a calibration methodology allowing its fast and automated parameter setting. This model has been applied to simulate the aging behavior of a 26 Ah cell. To train this model, a large aging test campaign has been conducted dedicated to both calibration and validation purposes. This one takes into account calendar, cycling, and their combinations. Based on the design of the aging campaign it is able to account for the effect of State Of Charge, temperature and current on aging. As its calibration is based on an automated process, it can be trained automatically and does not need expert knowledge for operation. Simulation data are validated to a 2% error in comparison to experimental data and is then validated for automotive applications.
An empirical generic Li-ion aging model, compatible with a large number of aging mechanisms without their a priori knowledge has been developed as well as a calibration methodology allowing its fast and automated parameter setting. This model has been applied to simulate the aging behavior of a 26 Ah cell. To train this model, a large aging test campaign has been conducted dedicated to both calibration and validation purposes. This one takes into account calendar, cycling, and their combinations. Based on the design of the aging campaign it is able to account for the effect of State Of Charge, temperature and current on aging. As its calibration is based on an automated process, it can be trained automatically and does not need expert knowledge for operation. Simulation data are validated to a 2% error in comparison to experimental data and is then validated for automotive applications.
ArticleNumber 102592
Author Belaïd, Sofiane
Mingant, Rémy
Bernard, Julien
Petit, Martin
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Keywords Aging
Generic model
Easy training
Li-ion battery
State of health
State of Health
Generic Model
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Snippet •A generic aging model of lithium-ion batteries has been developed and presented.•This model is independent of the aging mechanism's knowledge.•The calibration...
An empirical generic Li-ion aging model, compatible with a large number of aging mechanisms without their a priori knowledge has been developed as well as a...
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StartPage 102592
SubjectTerms Aging
Computer Science
Easy training
Electric power
Engineering Sciences
Environmental Sciences
Generic model
Li-ion battery
Modeling and Simulation
State of health
Title Data-driven model development to predict the aging of a Li-ion battery pack in electric vehicles representative conditions
URI https://dx.doi.org/10.1016/j.est.2021.102592
https://ifp.hal.science/hal-03312439
Volume 39
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