State of health estimation for lithium-ion batteries based on current interrupt method and genetic algorithm optimized back propagation neural network

Titel:: State of health estimation for lithium-ion batteries based on current interrupt method and genetic algorithm optimized back propagation neural network
Dokumenttyp:: Zeitschriftenaufsatz
Autor(en):: Sun, J.; Kainz, J.
Zeitschriftentitel:: Journal of Power Sources
Jahr:: 2023
Band / Volume:: 591
Seitenangaben Beitrag:: 233842
WWW:: https://doi.org/10.1016/j.jpowsour.2023.233842
Hinweise:: doi:10.1016/j.jpowsour.2023.233842
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