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通过深度转移学习在快速充电下估计电池健康状况

Jingyuan Zhao1, Di Li2, Yuqi Li3

  • 1Institute of Transportation Studies, University of California, Davis, Davis, CA 95616, USA.

iScience
|April 28, 2025
PubMed
概括

这项研究引入了混合深度神经网络 (DNN),用于在快速充电期间准确估计离子电池健康状况 (SOH). 该模型增强了电池老化检测,这对于有效的电池管理系统至关重要.

关键词:
电化学储能储能器是电化学储能器.储能储能是指储能过程中的能量.能源系统; 能源系统;

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