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State of Charge Estimation of Lithium-Ion Batteries Using Stacked Encoder-Decoder Bi-Directional LSTM for EV and HEV Applications.

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第一作者： Pranaya K,Terala

第一单位： Department of Electrical and Computer Engineering, Florida A&M University-Florida State University, 2525 Pottsdamer St., Tallahassee, FL 32310, USA.

作者： Pranaya K,Terala ^[1] ; Ayodeji S,Ogundana ^[1] ; Simon Y,Foo ^[1] ; Migara Y,Amarasinghe ^[1] ; Huanyu,Zang ^[1]

作者单位： Department of Electrical and Computer Engineering, Florida A&M University-Florida State University, 2525 Pottsdamer St., Tallahassee, FL 32310, USA. ^[1]

关键词 bi-directional LSTM deep neural network encoder–decoder hybrid energy storage machine learning robust estimator state-of-charge estimation

DOI 10.3390/mi13091397

PMID 36144020

发布时间 2022-09-28

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2022年13卷9期

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State of Charge Estimation of Lithium-Ion Batteries Using Stacked Encoder-Decoder Bi-Directional LSTM for EV and HEV Applications.

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State of Charge Estimation of Lithium-Ion Batteries Using Stacked Encoder-Decoder Bi-Directional LSTM for EV and HEV Applications.

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