新能源与智能载运（英文）2025，Vol.3Issue(3)：63-75,13.DOI:10.1016/j.geits.2024.100175
Optimized ANN for LiFePO4 battery charge estimation using principal components based feature generation
Optimized ANN for LiFePO4 battery charge estimation using principal components based feature generation
Chaitali Mehta 1Amit V.Sant 2Paawan Sharma3
作者信息
- 1. Department of Computer Science and Engineering,School of Technology,Pandit Deendayal Energy University,Raysan,Gandhinagar 382007,India
- 2. Department of Electrical Engineering,School of Energy Technology,Pandit Deendayal Energy University,Raysan,Gandhinagar 382007,India
- 3. Department of Information and Communication Technology,School of Technology,Pandit Deendayal Energy University,Raysan,Gandhinagar 382007,India
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摘要
关键词
Battery/Feature engineering/Principal component analysis/Artificial neural networks/OptimizersKey words
Battery/Feature engineering/Principal component analysis/Artificial neural networks/Optimizers引用本文复制引用
Chaitali Mehta,Amit V.Sant,Paawan Sharma..Optimized ANN for LiFePO4 battery charge estimation using principal components based feature generation[J].新能源与智能载运（英文）,2025,3(3):63-75,13.
