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Electrochemical Li-Ion battery modeling for electric vehicles

Abstract : The future development of electric vehicles is mostly dependent of improvements in battery performances. In support of the actual research of new materials having higher performances in terms of energy, power, durability and cost, it is necessary to develop modeling tools. The models are helpful to simulate integration of the battery in the powertrain and crucial for the battery management system, to improve either direct (e.g. preventing overcharges and thermal runaway) and indirect (e.g. state of charge indicators) safety. However, the battery models could be used to understand its physical phenomena and chemical reactions to improve the battery design according with vehicles requirements and reduce the testing phases. One of the most common model describing the porous electrodes of lithium-ion batteries is revisited. Many variants available in the literature are inspired by the works of prof. J Newman and his research group from UC Berkeley. Yet, relatively few works, to the best of our knowledge, analyze in detail its predictive capability. In the present work, to investigate this model, all the physical quantities are set in a dimensionless form, as commonly used in fluid mechanics: the parameters that act in the same or the opposite ways are regrouped, and the total number of simulation parameter is greatly reduced. In a second phase, the influence of the parameter is discussed, and interpreted with the support of the limit cases. The analysis of the discharge voltage and concentration gradients is based on galvanostatic and pulse/relaxation current profiles and compared with tested commercial LGC cells. The simulations are performed with the software Comsol® and the post-processing with Matlab®. Moreover, in this research, the parameters from the literatures are discussed to understand how accurate are the techniques used to parametrize and feed the inputs of the model. Then, our work shows that the electrode isotherms shapes have a significant influence on the accuracy of the evaluation of the states of charges in a complete cell. Finally, the protocols to characterize the performance of commercial cells at different C-rates are improved to guarantee the reproducibility.
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Contributor : Andrea Falconi <>
Submitted on : Sunday, January 7, 2018 - 11:43:43 AM
Last modification on : Thursday, November 19, 2020 - 1:52:45 PM
Long-term archiving on: : Sunday, April 8, 2018 - 12:40:18 PM


2017 - Falconi - Electrochemic...
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  • HAL Id : tel-01676976, version 1


Andrea Falconi. Electrochemical Li-Ion battery modeling for electric vehicles. Material chemistry. COMMUNAUTE UNIVERSITE GRENOBLE ALPES, 2017. English. ⟨tel-01676976⟩



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