红外与激光工程, 2021, 50 (2): 20200339, 网络出版: 2021-03-22
采用门控循环神经网络估计锂离子电池健康状态 下载: 664次
State of health estimation for lithium-ion batteries using recurrent neural networks with gated recurrent unit
锂离子电池 健康状态 门控循环单元 循环神经网络 深度学习 lithium-ion battery state of health gated recurrent unit recurrent neural networks deep learning
知识挖掘
相关论文
本文相似领域研究进展,
知识服务
本文主要研究领域论文发表情况:
948篇
917篇
78篇
11篇
10篇
4篇
本文研究领域论文发表情况(统计图):
张少宇, 伍春晖, 熊文渊. 采用门控循环神经网络估计锂离子电池健康状态[J]. 红外与激光工程, 2021, 50(2): 20200339. Shaoyu Zhang, Chunhui Wu, Wenyuan Xiong. State of health estimation for lithium-ion batteries using recurrent neural networks with gated recurrent unit[J]. Infrared and Laser Engineering, 2021, 50(2): 20200339.