| Novel feedback-Bayesian BP neural network combined with extended Kalman filtering for the battery state-of-charge estimation Y Zhang, S Wang, W Xu, C Fernandez, Y Fan International Journal of Electrochemical Science 16 (6), 210624, 2021 | 20 | 2021 |
| Joint nonlinear-drift-driven Wiener process-Markov chain degradation switching model for adaptive online predicting lithium-ion battery remaining useful life Y Zhang, F Feng, S Wang, J Meng, J Xie, R Ling, H Yin, K Zhang, Y Chai Applied Energy 341, 121043, 2023 | 17 | 2023 |
| A novel adaptive H‐infinity filtering method for the accurate SOC estimation of lithium‐ion batteries based on optimal forgetting factor selection Y Liu, S Wang, Y Xie, C Fernandez, J Qiu, Y Zhang International Journal of Circuit Theory and Applications 50 (10), 3372-3386, 2022 | 12 | 2022 |
| Joint Dynamic Strategy of Bayesian Regularized Back Propagation Neural Network with Strong Robustness-Extended Kalman Filtering for the Battery State-of-Charge Prediction Y Hu, Y Zhang, S Wang, W Xu, Y Fan, Y Liu International Journal of Electrochemical Science 16 (11), 21118, 2021 | 4 | 2021 |
| Nonlinear-Drift-Driven Wiener Process–Markov Chain Switching Model for Predicting Lithium-Ion Battery Remaining Useful Life Y Zhang, F Feng, S Wang, J Meng, J Xie, H Yin, Y Chai International Conference on Energy Storage and Intelligent Vehicles, 107-118, 2022 | | 2022 |
| An improved smoothing factor-extended kalman filtering method for accurate online state-of-charge estimation of Lithium-ion battery Y Zhang, S Wang, W Xu Journal of Physics: Conference Series 2232 (1), 012011, 2022 | | 2022 |
