State of health and remaining useful life prediction for lithium‐ion batteries based on differential thermal voltammetry and a long and short memory neural network
Bin Ma(Queensland University of Technology), Xinhua Liu(Beihang University), Xianbin Yang(Jilin University), Wentao Wang(Chinese Academy of Sciences), Cheng Zhang(Zhejiang Sci-Tech University), Lisheng Zhang(Beihang University), Haicheng Xie(Jilin University), Siyan Chen(Jilin University), Hanqing Yu(Beihang University)
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