1. Electro-Thermal and Aging Lithium-Ion Cell Modelling with Application to Optimal Battery Charging
- Author
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Olivier Cois, Patrick Lanusse, Sara Mohajer, Jocelyn Sabatier, Robert Bosch Gmbh [Schwieberdingen], Laboratoire de l'intégration, du matériau au système (IMS), Université Sciences et Technologies - Bordeaux 1-Institut Polytechnique de Bordeaux-Centre National de la Recherche Scientifique (CNRS), and Lanusse, Patrick
- Subjects
Battery (electricity) ,0209 industrial biotechnology ,Optimization problem ,Computer science ,020209 energy ,lithium-ion batteries ,02 engineering and technology ,lcsh:Technology ,7. Clean energy ,[SPI.AUTO]Engineering Sciences [physics]/Automatic ,lcsh:Chemistry ,020901 industrial engineering & automation ,Control theory ,Linearization ,Hardware_GENERAL ,Charge control ,0202 electrical engineering, electronic engineering, information engineering ,General Materials Science ,lcsh:QH301-705.5 ,Instrumentation ,ComputingMilieux_MISCELLANEOUS ,Fluid Flow and Transfer Processes ,fast charging ,lcsh:T ,Process Chemistry and Technology ,General Engineering ,lcsh:QC1-999 ,Computer Science Applications ,[SPI.AUTO] Engineering Sciences [physics]/Automatic ,lcsh:Biology (General) ,lcsh:QD1-999 ,Charge controller ,lcsh:TA1-2040 ,Control system ,battery ageing ,Automotive battery ,lcsh:Engineering (General). Civil engineering (General) ,lcsh:Physics - Abstract
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.
- Published
- 2020