Estimation of the State of Charge/Health of Electric Vehicle Batteries Through Machine Learning Approach
Capasso Clemente,
Chianese Giovanni,
Veneri Ottorino
et al.
Abstract:Ensuring high performances and lifetime of battery packs has critical importance, because of the transition toward electric mobility. Therefore, correct estimation of the battery state with ad-hoc designed Battery Management Systems (BMS) is pivotal to address this challenge. In this context, application of Machine Learning (ML) is gaining increasing research interest as it includes data-driven algorithms that enable accurate and fast predictions of the battery state. For this reason, this paper aims to contri… Show more
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