Efficient estimating and clustering Lithium-ion batteries with a deep-learning approach
Xin He,
Zhongxian Sun,
Weilin He
et al.
Abstract:Identifying the state of health (SOH) of batteries is critical for estimating batteries from unknown states or grouping retired batteries for secondary utilization to promote recycling sustainability. However, batteries perform distinct capacity fading behaviours in real scenarios and service activities. The energy conversion process is reflected by electrical signals, but proceeds via electrochemical reactions associated with temperature and strain variation. Herein, we develop a deep-learning framework for r… Show more
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