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An end-cloud collaboration approach for state-of-health estimation of lithium-ion batteries based on bi-LSTM with collaboration of multi-feature and attention mechanism
International Journal of Green Energy ( IF 3.3 ) Pub Date : 2024-01-08 , DOI: 10.1080/15435075.2023.2299402
Pengchang Jiang 1 , Tianyi Zhang 2 , Guangjie Huang 2 , Wei Hua 1 , Yong Zhang 3 , Wentao Wang 2 , Tao Zhu 4
Affiliation  

This study develops an end-cloud collaboration method for estimating the State-of-Health (SOH) of batteries. It fuses a cloud-based deep learning model for detailed analysis and an end-side model f...

中文翻译:

基于bi-LSTM的多特征和注意力机制协同的锂离子电池健康状态估计端云协作方法

这项研究开发了一种端云协作方法来估计电池的健康状况(SOH)。它融合了用于详细分析的基于云的深度学习模型和用于...
更新日期:2024-01-08
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