Lithium-ion battery health estimate based on electrochemical impedance spectroscopy and CNN-BiLSTM-Attention

Identifying degradation patterns of lithium ion batteries from impedance spectroscopy using machine learning

Yunwei Zhang, Qiaochu Tang, Yao Zhang et al. · Nature Communications · 2020 · 821 citations · Full text

Computing, Computer Science, Materials Science +17

Behavior and state-of-health monitoring of Li-ion batteries using impedance spectroscopy and recurrent neural networks

Akram Eddahech, Olivier Briat, Nicolas Bertrand et al. · International Journal of Electrical Power & Energy Systems · 2012 · 454 citations

Natural Sciences, Materials Engineering, Materials Science +17

Performance analysis and SOH (state of health) evaluation of lithium polymer batteries through electrochemical impedance spectroscopy

Matteo Galeotti, Lucio Cinà, C. Giammanco et al. · Energy · 2015 · 401 citations

Natural Sciences, Materials Engineering, Materials Science +16

A study of trilemma energy balance, clean energy transitions, and economic expansion in the midst of environmental sustainability: New insights from three trilemma leadership

Irfan Khan, Abdulrasheed Zakari, Jinjun Zhang et al. · Energy · 2022 · 299 citations

Natural Sciences, Environmental Policy, Environmental Sciences +17

A systematic model-based degradation behavior recognition and health monitoring method for lithium-ion batteries

Rui Xiong, Jinpeng Tian, Hao Mu et al. · Applied Energy · 2017 · 277 citations

Engineering, Chemical Engineering, Systems Engineering +14