Improved multi-scale cosine control whale optimization–error feedforward double Kalman filtering for the online state of charge and state of health co-estimation of lithium-ion batteries

Tao, Junjie; Wang, Shunli; Cao, Wen; Zhang, Mengyun; Wang, Chao

doi:10.1007/s11581-024-05428-1

Ionics

2024

DOI: 10.1007/s11581-024-05428-1

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Improved multi-scale cosine control whale optimization–error feedforward double Kalman filtering for the online state of charge and state of health co-estimation of lithium-ion batteries

Junjie Tao,

Shunli Wang,

Wen Cao

et al.

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Cited by 4 publications

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Improved multi-scale cosine control whale optimization–error feedforward double Kalman filtering for the online state of charge and state of health co-estimation of lithium-ion batteries

Cited by 4 publications

References 42 publications

Improved lithium battery state of health estimation and enhanced adaptive capacity of innovative kernel extreme learning machine optimized by multi-strategy dung beetle algorithm

Improved lithium battery state of health estimation and enhanced adaptive capacity of innovative kernel extreme learning machine optimized by multi-strategy dung beetle algorithm

State of health estimation based on PSO-SA-LSTM for fast-charge lithium-ion batteries

An innovative multitask learning - Long short-term memory neural network for the online anti-aging state of charge estimation of lithium-ion batteries adaptive to varying temperature and current conditions

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