首页|期刊导航|新能源与智能载运（英文）|State of charge estimation of lithium-ion battery based on state of temperature estimation using weight clustered-convolutional neural network-long short-term memory
State of charge estimation of lithium-ion battery based on state of temperature estimation using weight clustered-convolutional neural network-long short-term memory
Chaoran Li Sichen Zhu Liuli Zhang Xinjian Liu Menghan Li Haiqin Zhou Qiang Zhang Zhonghao Rao
新能源与智能载运（英文）2025，Vol.2025Issue(6)：69-81,13.
新能源与智能载运（英文）2025，Vol.2025Issue(6)：69-81,13.DOI:10.1016/j.geits.2024.100226
State of charge estimation of lithium-ion battery based on state of temperature estimation using weight clustered-convolutional neural network-long short-term memory
State of charge estimation of lithium-ion battery based on state of temperature estimation using weight clustered-convolutional neural network-long short-term memory
摘要
关键词
State of charge/State of temperature/Lithium-ion battery/Deep learning method/Long short-term memory/Weight clusterKey words
State of charge/State of temperature/Lithium-ion battery/Deep learning method/Long short-term memory/Weight cluster引用本文复制引用
Chaoran Li,Sichen Zhu,Liuli Zhang,Xinjian Liu,Menghan Li,Haiqin Zhou,Qiang Zhang,Zhonghao Rao..State of charge estimation of lithium-ion battery based on state of temperature estimation using weight clustered-convolutional neural network-long short-term memory[J].新能源与智能载运（英文）,2025,2025(6):69-81,13.基金项目
This work was supported by the Ministry of Science and Technology of the People's Republic of China(No.2022YFE0207900),the Post-graduate Education and Teaching reform Research project of Hebei Province(YJG2024012),the Science and Technology Planning project of Tianjin(No.23YFZCSN00320)and the Natural Science Foundation of Hebei Province(No.E2022202026). （No.2022YFE0207900）
