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Article Dans Une Revue Energy Année : 2021

A method to estimate battery SOH indicators based on vehicle operating data only

Résumé

Batteries are multi-physical systems and during actual operating conditions they are submitted to variable ambient operating conditions which can affect the dynamic behavior and the degradation. Therefore, a good understanding of the dynamic behavior and the degradation laws under actual operating conditions is the key to a durability improvement and to the development of better energy management strategies. The purpose of the proposed study is to use an experimental database issuedfrom a three years monitoring of a ten postal vehicle fleet to model the batteries with respect to operating conditions. Based on an electrical circuit model, an optimization algorithm and a Kalman filter, the scientific contribution is to propose a simple but efficient method, using vehicle operating data only, to estimate on-board the state of charge and state of health indicators linked to internal resistance and available capacity. The proposed model presents a very good accuracy and state of health indicators estimations show promising results. In the future, the proposed method could be applied on-board to estimate and analyze the state of health during the entire battery lifetime in order to provide an accurate state of charge estimation and to contribute to a better understanding of the degradation laws.
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Dates et versions

hal-03184491 , version 1 (22-03-2023)

Licence

Paternité - Pas d'utilisation commerciale

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Loïc Vichard, Alexandre Ravey, Pascal Venet, Fabien Harel, Serge Pelissier, et al.. A method to estimate battery SOH indicators based on vehicle operating data only. Energy, 2021, 225 (225), 12 p. ⟨10.1016/j.energy.2021.120235⟩. ⟨hal-03184491⟩
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