Electro-Thermal and Aging Lithium-Ion Cell Modelling with Application to Optimal Battery Charging

This paper deals with optimal charging versus aging minimization for lithium-ion batteries. The optimal charging strategy proposed involves charging controllers whose design relies on a battery model. The model, especially designed for automotive battery management systems applications, is recalled...

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Main Authors: Sara Mohajer, Jocelyn Sabatier, Patrick Lanusse, Olivier Cois
Format: Article
Language:English
Published: MDPI AG 2020-06-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/10/11/4038
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spelling doaj-6954cc47b0234837901d81c5e2a42b252020-11-25T02:52:42ZengMDPI AGApplied Sciences2076-34172020-06-01104038403810.3390/app10114038Electro-Thermal and Aging Lithium-Ion Cell Modelling with Application to Optimal Battery ChargingSara Mohajer0Jocelyn Sabatier1Patrick Lanusse2Olivier Cois3Robert Bosch GmbH, Wernerstraße 51, 70469 Stuttgart, GermanyIMS Lab., Bordeaux University, UMR 5218 CNRS, 351 Cours de la Libération, 33405 Talence, FranceIMS Lab., Bordeaux INP, UMR 5218 CNRS, 351 Cours de la Libération, 33405 Talence, FranceRobert Bosch GmbH, Wernerstraße 51, 70469 Stuttgart, GermanyThis paper deals with optimal charging versus aging minimization for lithium-ion batteries. The optimal charging strategy proposed involves charging controllers whose design relies on a battery model. The model, especially designed for automotive battery management systems applications, is recalled in this paper. It provides the voltage response of a cell to an input current. It also models side reactions that produce degradation mechanisms and thus decrease battery performance. Side reaction modelling involves taking into account the temperature cell variations, which are thus also modelled. The association of the three above-mentioned sub-models leads to an electro-thermal battery aging model used to design an optimal charging strategy that simultaneously takes into account the minimization of charging time and maximization of battery lifetime. Thus, to achieve a charging controller that manages battery health, an appropriate charging trajectory was computed by solving an optimization problem minimizing aging. Then, a charge control loop was designed. The nonlinear behavior of the battery was taken into account through the linearization of the electro-thermal aging model in different operating conditions. To take into account the resulting linear model family, the CRONE design methodology was used. The principles of this methodology are recapped and the design of the charging control loop is explained. The efficiency of the resulting charge controller is illustrated by several simulations.https://www.mdpi.com/2076-3417/10/11/4038lithium-ion batteriesfast chargingbattery ageing
collection DOAJ
language English
format Article
sources DOAJ
author Sara Mohajer
Jocelyn Sabatier
Patrick Lanusse
Olivier Cois
spellingShingle Sara Mohajer
Jocelyn Sabatier
Patrick Lanusse
Olivier Cois
Electro-Thermal and Aging Lithium-Ion Cell Modelling with Application to Optimal Battery Charging
Applied Sciences
lithium-ion batteries
fast charging
battery ageing
author_facet Sara Mohajer
Jocelyn Sabatier
Patrick Lanusse
Olivier Cois
author_sort Sara Mohajer
title Electro-Thermal and Aging Lithium-Ion Cell Modelling with Application to Optimal Battery Charging
title_short Electro-Thermal and Aging Lithium-Ion Cell Modelling with Application to Optimal Battery Charging
title_full Electro-Thermal and Aging Lithium-Ion Cell Modelling with Application to Optimal Battery Charging
title_fullStr Electro-Thermal and Aging Lithium-Ion Cell Modelling with Application to Optimal Battery Charging
title_full_unstemmed Electro-Thermal and Aging Lithium-Ion Cell Modelling with Application to Optimal Battery Charging
title_sort electro-thermal and aging lithium-ion cell modelling with application to optimal battery charging
publisher MDPI AG
series Applied Sciences
issn 2076-3417
publishDate 2020-06-01
description This paper deals with optimal charging versus aging minimization for lithium-ion batteries. The optimal charging strategy proposed involves charging controllers whose design relies on a battery model. The model, especially designed for automotive battery management systems applications, is recalled in this paper. It provides the voltage response of a cell to an input current. It also models side reactions that produce degradation mechanisms and thus decrease battery performance. Side reaction modelling involves taking into account the temperature cell variations, which are thus also modelled. The association of the three above-mentioned sub-models leads to an electro-thermal battery aging model used to design an optimal charging strategy that simultaneously takes into account the minimization of charging time and maximization of battery lifetime. Thus, to achieve a charging controller that manages battery health, an appropriate charging trajectory was computed by solving an optimization problem minimizing aging. Then, a charge control loop was designed. The nonlinear behavior of the battery was taken into account through the linearization of the electro-thermal aging model in different operating conditions. To take into account the resulting linear model family, the CRONE design methodology was used. The principles of this methodology are recapped and the design of the charging control loop is explained. The efficiency of the resulting charge controller is illustrated by several simulations.
topic lithium-ion batteries
fast charging
battery ageing
url https://www.mdpi.com/2076-3417/10/11/4038
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AT jocelynsabatier electrothermalandaginglithiumioncellmodellingwithapplicationtooptimalbatterycharging
AT patricklanusse electrothermalandaginglithiumioncellmodellingwithapplicationtooptimalbatterycharging
AT oliviercois electrothermalandaginglithiumioncellmodellingwithapplicationtooptimalbatterycharging
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