[1] |
Peng HUANG, Zhigen NIE, Zheng CHEN, Xing SHU, Shiquan SHEN, Jipeng YANG, Jiangwei SHEN.
Capacity prediction of lithium battery based on optimized Elman neural network
[J]. Energy Storage Science and Technology, 2022, 11(7): 2282-2294.
|
[2] |
Shunmin YI, Linbo XIE, Li PENG.
Remaining useful life prediction of lithium-ion batteries based on VF-DW-DFN
[J]. Energy Storage Science and Technology, 2022, 11(7): 2305-2315.
|
[3] |
Shufeng DONG, Lingchong LIU, Kunjie TANG, Haiqi ZHAO, Chengsi XU, Liheng LIN.
The teaching method of energy storage control experiment based on Simulink and low-code controller
[J]. Energy Storage Science and Technology, 2022, 11(7): 2386-2397.
|
[4] |
Yuyu TIAN, Jing LIU, Xuefeng SONG, Yu QIU, Liping ZHAO, Peng ZHANG, Yanting SUN, Lian GAO.
PPy-MoS2 porous network flexible electrodes: Kinetic analysis of electrochemical behavior
[J]. Energy Storage Science and Technology, 2022, 11(4): 1141-1148.
|
[5] |
Mengmeng GENG, Maosong FAN, Kai YANG, Guangjin ZHAO, Zhen TAN, Fei GAO, Mingjie ZHANG.
Fast estimation method for state-of-health of retired batteries based on electrochemical impedance spectroscopy and neural network
[J]. Energy Storage Science and Technology, 2022, 11(2): 673-678.
|
[6] |
Shaofeng ZHANG, Qingyong ZHANG, Yesen YANG, Yixin SU, Binyu XIONG.
Lithium-ion battery model based on sliding window and long short term memory neural network
[J]. Energy Storage Science and Technology, 2022, 11(1): 228-239.
|
[7] |
Shuai WANG, Hongyan MA, Jiaming DOU, Yingda ZHANG, Shengyan LI, Lujin HU.
Estimation of lithium-ion battery state of charge based on UGOA-BP
[J]. Energy Storage Science and Technology, 2022, 11(1): 258-264.
|
[8] |
Zhihao LI, Hao PENG, Yaqin CHEN.
Neural network prediction model for temperature distribution of proton exchange membrane fuel cell membrane electrode assembly
[J]. Energy Storage Science and Technology, 2021, 10(6): 2053-2059.
|
[9] |
Lianbing LI, Sijia LI, Jie LI, Kun SUN, Zhengping WANG, Haiyue YANG, Bing GAO, Shaobo YANG.
RUL prediction of lithium-ion battery based on differential voltage and Elman neural network
[J]. Energy Storage Science and Technology, 2021, 10(6): 2373-2384.
|
[10] |
Biao CHEN, Wei YU, Xufeng FANG, Haoxin LI, Lei CAO, Jun PAN.
A cooperative economic dispatch of active distribution network and island microgrid with intra area battery sharing
[J]. Energy Storage Science and Technology, 2021, 10(6): 2181-2190.
|
[11] |
Xinyu CAO, Fei PENG, Liwei LI, Jianguang YIN.
SOC estimation of lithium battery based on IBAS-NARX neural network model
[J]. Energy Storage Science and Technology, 2021, 10(6): 2342-2351.
|
[12] |
Yuanfu ZHU, Wenwu HE, Jianxing LI, Youcai LI, Peiqiang LI.
SOC estimation for Li-ion batteries based on Bi-LSTM and Bi-GRU
[J]. Energy Storage Science and Technology, 2021, 10(3): 1163-1176.
|
[13] |
Yuanjin ZHANG, Huawei WU, Congjin YE.
Estimation of the SOC of a battery based on the AUKF-BP algorithm
[J]. Energy Storage Science and Technology, 2021, 10(1): 237-241.
|
[14] |
Zheng CHEN, Leilei LI, Xing SHU, Shiquan SHEN, Yonggang LIU, Jiangwei SHEN.
Efficient remaining capacity estimation method for LIB based on feature processing and the RBF neural network
[J]. Energy Storage Science and Technology, 2021, 10(1): 261-270.
|
[15] |
Junwei LI, Hengyun ZHANG, Xiaoyu WU, Ying WANG.
Heat dissipation performance of a power battery module based on thermoelectric cooling
[J]. Energy Storage Science and Technology, 2020, 9(6): 1790-1797.
|