山东电力技术2023，Vol.50Issue(10)：66-72,7.DOI:10.20097/j.cnki.issn1007-9904.2023.10.009
基于CNN-Bi-LSTM的锂离子电池健康状态估算
Health State Estimation of Lithium-ion Batteries Based on CNN-Bi-LSTM
摘要
关键词
锂离子电池/健康状态/卷积神经网络/长短期记忆神经网络Key words
lithium-ion battery/state of health/convolutional neural network/bi-directional long short-term memory分类
动力与电气工程引用本文复制引用
李凯,胡丽,宋婷婷..基于CNN-Bi-LSTM的锂离子电池健康状态估算[J].山东电力技术,2023,50(10):66-72,7.基金项目
国网山东省电力公司科技项目"基于储能的低压配电台区优化设计与新能源多维度协同调控技术研究及应用"(520604220003). Science and Technology Project of State Grid Shandong Electric Power Company"Optimization design of low-voltage distribution substation based on energy storage and multi-dimensional collaborative control technology research and application of new energy"(520604220003). （520604220003）
