| State of charge estimation of lithium-ion batteries using LSTM and NARX neural networks M Wei, M Ye, JB Li, Q Wang, X Xu IEEE Access 8, 189236-189245, 2020 | 97 | 2020 |
| Remaining useful life prediction of lithium-ion batteries based on Monte Carlo Dropout and gated recurrent unit M Wei, H Gu, M Ye, Q Wang, X Xu, C Wu Energy Reports 7, 2862-2871, 2021 | 74 | 2021 |
| Co-estimation of state of charge and capacity for lithium-ion battery based on recurrent neural network and support vector machine Q Wang, M Ye, M Wei, G Lian, C Wu Energy Reports 7, 7323-7332, 2021 | 43 | 2021 |
| Remaining useful life prediction of lithium-ion batteries based on stacked autoencoder and gaussian mixture regression M Wei, M Ye, Q Wang, JP Twajamahoro Journal of Energy Storage, 103558, 2021 | 37 | 2021 |
| State of charge estimation for lithium-ion batteries using dynamic neural network based on sine cosine algorithm M Wei, M Ye, JB Li, Q Wang, XX Xu Proceedings of the Institution of Mechanical Engineers, Part D: Journal of …, 2021 | 14 | 2021 |
| Estimation of lithium-ion battery SOC based on GWO-optimized extreme learning machine W Qiao, WEI Meng, YE Min, LI Jiabo, XU Xinxin Energy Storage Science and Technology 10 (2), 744, 2021 | 8 | 2021 |
| Remaining Useful Life Indirect Prediction of Lithium-ion Batteries Based on Dropout Gated Recurrent Unit M Wei, X Xin-Xu 2021 IEEE International Conference on Mechatronics and Automation (ICMA …, 2021 | 4 | 2021 |
| State-of-health estimation and remaining useful life prediction of lithium-ion batteries based on extreme learning machine M Wei, M Ye, Q Wang, C Wu, Y Ma Journal of Physics: Conference Series 1983 (1), 012058, 2021 | 3 | 2021 |
| Least squares support vector machine for state of charge estimation of lithium-ion battery using gray wolf optimizer Q Wang, M Ye, M Wei, C Wu, Y Ma Journal of Physics: Conference Series 1983 (1), 012077, 2021 | 1 | 2021 |
