Robust state of charge estimation of lithium-ion battery via mixture kernel mean p-power error loss LSTM with heap-based-optimizer

Wentao Ma, Yiming Lei,Xiaofei Wang,Badong Chen

Journal of Energy Chemistry（2023）

引用 5|浏览16

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摘要

MKMPE loss is introduced into the LSTM framework for model training, and the HBO is used for selecting optimal parameters of the model, which cooperatively promotes the efficiency of the SOC estimation.

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关键词

SOC estimation,Long short term memory model,Mixture kernel mean p-power error,Heap-based-optimizer,Lithium-ion battery,Non-Gaussian noisy measurement data

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