The state of charge estimation of lithium-ions battery using combined multi-population genetic algorithm - BP and Kalman filter methods | Zendy

Qingyun Ma | Zendy; Chuanyun Zou | Zendy; Shunli Wang | Zendy; Jingsong Qiu | Zendy

Open Access

The state of charge estimation of lithium-ions battery using combined multi-population genetic algorithm - BP and Kalman filter methods

Author(s) -

Qingyun Ma,

Chuanyun Zou,

Shunli Wang,

Jingsong Qiu

Publication year - 2022

Publication title -

international journal of electrochemical science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.346

H-Index - 82

ISSN - 1452-3981

DOI - 10.20964/2022.02.16

Subject(s) - kalman filter , state of charge , lithium (medication) , battery (electricity) , extended kalman filter , ion , state (computer science) , estimation , computer science , charge (physics) , algorithm , population , genetic algorithm , lithium ion battery , control theory (sociology) , engineering , physics , artificial intelligence , machine learning , medicine , power (physics) , control (management) , environmental health , systems engineering , quantum mechanics

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