|
2022 Journal Article A state-of-health estimation method considering capacity recovery of lithium batteriesGuo, Yu, Yu, Peng, Zhu, Chao, Zhao, Kun, Wang, Licheng and Wang, Kai (2022). A state-of-health estimation method considering capacity recovery of lithium batteries. International Journal of Energy Research, 46 (15), 23730-23745. doi: 10.1002/er.8671 |
|
2022 Journal Article Fuzzy piecewise coordinated control and stability analysis of the photovoltaic-storage direct current microgridGu, Jipeng, Xie, Luyao, Yang, Xiaodong, Zhang, Youbing, Wang, Licheng, Wang, Qianru, Zhang, Weijie and Wang, Binjie (2022). Fuzzy piecewise coordinated control and stability analysis of the photovoltaic-storage direct current microgrid. IET Renewable Power Generation, 16 (15), 3311-3324. doi: 10.1049/rpg2.12584 |
|
2022 Journal Article A combined state-of-charge estimation method for lithium-ion battery using an improved BGRU network and UKFCui, Zhenhua, Kang, Le, Li, Liwei, Wang, Licheng and Wang, Kai (2022). A combined state-of-charge estimation method for lithium-ion battery using an improved BGRU network and UKF. Energy, 259 124933, 1-15. doi: 10.1016/j.energy.2022.124933 |
|
2022 Journal Article TM2B3monolayers: Intrinsic anti-ferromagnetism and Dirac nodal line semimetalSun, Yi, Wang, Licheng, Li, Xiaoyan, Yao, Xiaojing, Xu, Xiaokang, Guo, Tianxia, He, Ailei, Wang, Bing, Liu, Yongjun and Zhang, Xiuyun (2022). TM2B3monolayers: Intrinsic anti-ferromagnetism and Dirac nodal line semimetal. Applied Physics Letters, 121 (18) 183103. doi: 10.1063/5.0113408 |
|
2022 Journal Article A hybrid neural network model with improved input for state of charge estimation of lithium-ion battery at low temperaturesCui, Zhenhua, Kang, Le, Li, Liwei, Wang, Licheng and Wang, Kai (2022). A hybrid neural network model with improved input for state of charge estimation of lithium-ion battery at low temperatures. Renewable Energy, 198, 1328-1340. doi: 10.1016/j.renene.2022.08.123 |
|
2022 Journal Article Electrochemical impedance spectroscopy based on the state of health estimation for lithium-ion batteriesLi, Dezhi, Yang, Dongfang, Li, Liwei, Wang, Licheng and Wang, Kai (2022). Electrochemical impedance spectroscopy based on the state of health estimation for lithium-ion batteries. Energies, 15 (18) 6665, 1-26. doi: 10.3390/en15186665 |
|
2022 Journal Article Electromagnetic-Thermal Analysis of FTU under the High-Power Electromagnetic EnvironmentZhao, Dongyan, Chen, Yanning, Wang, Yubo, Zhao, Yang, Fu, Zhen, Du, Jian, Wang, Licheng, Cheng, Ruiqi, Zhen, Yan, Zhang, Haifeng, Zhou, Yuanguo and Ren, Qiang (2022). Electromagnetic-Thermal Analysis of FTU under the High-Power Electromagnetic Environment. Electronics, 11 (16) 2528, 2528. doi: 10.3390/electronics11162528 |
|
2022 Journal Article Aging state prediction for supercapacitors based on heuristic kalman filter optimization extreme learning machineLi, Dezhi, Li, Shuo, Zhang, Shubo, Sun, Jianrui, Wang, Licheng and Wang, Kai (2022). Aging state prediction for supercapacitors based on heuristic kalman filter optimization extreme learning machine. Energy, 250 123773, 1-21. doi: 10.1016/j.energy.2022.123773 |
|
2022 Journal Article Real-time Voltage Cooperative Control in Distribution Networks With High Photovoltaic Penetration Considering Imperfect Communication 考虑非完美通讯的高光伏渗透率配电网实时电压协同控制Wang, Licheng, Yang, Yu, Yang, Xiaodong, Zhang, Youbing, Chai, Qianyi and Liu, Zhuguang (2022). Real-time Voltage Cooperative Control in Distribution Networks With High Photovoltaic Penetration Considering Imperfect Communication 考虑非完美通讯的高光伏渗透率配电网实时电压协同控制. Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering, 42 (11), 4027-4039. doi: 10.13334/j.0258-8013.pcsee.202513 |
|
2022 Journal Article State of health estimation of lithium-ion battery based on improved ant lion optimization and support vector regressionLi, Qianglong, Li, Dezhi, Zhao, Kun, Wang, Licheng and Wang, Kai (2022). State of health estimation of lithium-ion battery based on improved ant lion optimization and support vector regression. Journal of Energy Storage, 50 104215, 1-9. doi: 10.1016/j.est.2022.104215 |
|
2022 Journal Article Strong robustness and high accuracy in predicting remaining useful life of supercapacitorsLiu, Chunli, Li, Dezhi, Wang, Licheng, Li, Liwei and Wang, Kai (2022). Strong robustness and high accuracy in predicting remaining useful life of supercapacitors. APL Materials, 10 (6) 061106, 6. doi: 10.1063/5.0092074 |
|
2022 Journal Article Hybrid methods using neural network and Kalman filter for the state of charge estimation of lithium-ion batteryCui, Zhenhua, Dai, Jiyong, Sun, Jianrui, Li, Dezhi, Wang, Licheng and Wang, Kai (2022). Hybrid methods using neural network and Kalman filter for the state of charge estimation of lithium-ion battery. Mathematical Problems in Engineering, 2022 9616124, 1-11. doi: 10.1155/2022/9616124 |
|
2022 Journal Article Prediction of the remaining useful life of supercapacitorsYi, Zhenxiao, Zhao, Kun, Sun, Jianrui, Wang, Licheng, Wang, Kai and Ma, Yongzhi (2022). Prediction of the remaining useful life of supercapacitors. Mathematical Problems in Engineering, 2022 7620382, 1-8. doi: 10.1155/2022/7620382 |
|
2022 Journal Article A comprehensive review on the state of charge estimation for lithium-ion battery based on neural networkCui, Zhenhua, Wang, Licheng, Li, Qiang and Wang, Kai (2022). A comprehensive review on the state of charge estimation for lithium-ion battery based on neural network. International Journal of Energy Research, 46 (5), 5423-5440. doi: 10.1002/er.7545 |
|
2022 Journal Article Temperature prediction of lithium-ion batteries based on electrochemical impedance spectrum: a reviewLi, Dezhi, Wang, Licheng, Duan, Chongxiong, Li, Qiang and Wang, Kai (2022). Temperature prediction of lithium-ion batteries based on electrochemical impedance spectrum: a review. International Journal of Energy Research, 46 (8), 10372-10388. doi: 10.1002/er.7905 |
|
2022 Journal Article Data-driven ICA-Bi-LSTM-combined lithium battery SOH estimationSun, Hanlei, Sun, Jianrui, Zhao, Kun, Wang, Licheng and Wang, Kai (2022). Data-driven ICA-Bi-LSTM-combined lithium battery SOH estimation. Mathematical Problems in Engineering, 2022 9645892, 1-8. doi: 10.1155/2022/9645892 |
|
2022 Conference Publication Risk blocking strategies for urban power grids considering social-informational-physical risksZhu, Chao, Hu, Zhesheng, Wang, Lei, Sun, Ke, Ye, Chengiin, Guo, Shiqiang, Wang, Zifei and Wang, Licheng (2022). Risk blocking strategies for urban power grids considering social-informational-physical risks. 2022 IEEE 5th International Electrical and Energy Conference (CIEEC), Nangjing, China, 27-29 May 2022. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/CIEEC54735.2022.9846795 |
|
2021 Journal Article An optimal scheduling strategy for peer-to-peer trading in interconnected microgrids based on RO and Nash bargainingWei, Chun, Shen, Zhuzheng, Xiao, Dongliang, Wang, Licheng, Bai, Xiaoqing and Chen, Haoyong (2021). An optimal scheduling strategy for peer-to-peer trading in interconnected microgrids based on RO and Nash bargaining. Applied Energy, 295 117024, 1-10. doi: 10.1016/j.apenergy.2021.117024 |
|
2021 Journal Article Integrated energy storage system based on triboelectric nanogenerator in electronic devicesFeng, Xiao, Zhang, Yang, Kang, Le, Wang, Licheng, Duan, Chongxiong, Yin, Kai, Pang, Jinbo and Wang, Kai (2021). Integrated energy storage system based on triboelectric nanogenerator in electronic devices. Frontiers of Chemical Science and Engineering, 15 (2), 238-250. doi: 10.1007/s11705-020-1956-3 |
|
2021 Journal Article State of charge estimation of composite energy storage systems with supercapacitors and lithium batteriesWang, Kai, Liu, Chunli, Sun, Jianrui, Zhao, Kun, Wang, Licheng, Song, Jinyan, Duan, Chongxiong and Li, Liwei (2021). State of charge estimation of composite energy storage systems with supercapacitors and lithium batteries. Complexity, 2021 (1) 8816250, 1-15. doi: 10.1155/2021/8816250 |
