A Bayesian deep learning pipeline for lithium‐ion battery SOH estimation with uncertainty quantification
Yuqi Ke,
Mingzhu Long,
Fangfang Yang
et al.
Abstract:In recent years, deep learning (DL) methods for state of health (SOH) estimation of lithium‐ion (Li‐ion) batteries have attracted great attention. However, most existing DL‐based methods for SOH estimation were designed using specific battery dataset. To gain better performance, the procedure can be labor‐intensive, involving designing intricate features and fine‐tuning complex DL model, which significantly limits the applications of these methods. Moreover, uncertainty quantification, that is how much uncerta… Show more
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