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A novel multiple training-scale dynamic adaptive cuckoo search optimized long short-term memory neural network and multi-dimensional health indicators acquisition strategy for whole life cycle health evaluation of lithium-ion batteries

Pu Ren, Shunli Wang, Xianpei Chen, Heng Zhou, Carlos Fernández, Daniel‐Ioan Stroe

Electrochimica Acta · 2022 · 16 citations · 61 references

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61

Data-driven capacity estimation of commercial lithium-ion batteries from voltage relaxation

Jiangong Zhu, Yixiu Wang, Yuan Huang et al. · Nature Communications · 2022 · 732 citations · Full text

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Lithium-ion battery aging mechanisms and diagnosis method for automotive applications: Recent advances and perspectives

Rui Xiong, Yue Pan, Weixiang Shen et al. · Renewable and Sustainable Energy Reviews · 2020 · 702 citations

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A Data-Driven Auto-CNN-LSTM Prediction Model for Lithium-Ion Battery Remaining Useful Life

Lei Ren, Jiabao Dong, Xiaokang Wang et al. · IEEE Transactions on Industrial Informatics · 2020 · 663 citations

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State-of-health estimation and remaining useful life prediction for the lithium-ion battery based on a variant long short term memory neural network

Penghua Li, Zijian Zhang, Qingyu Xiong et al. · Journal of Power Sources · 2020 · 442 citations

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Review on state-of-health of lithium-ion batteries: Characterizations, estimations and applications

Sijia Yang, Caiping Zhang, Jiuchun Jiang et al. · Journal of Cleaner Production · 2021 · 408 citations

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