| Remaining useful life prediction and state of health diagnosis for lithium-ion batteries using particle filter and support vector regression J Wei, G Dong, Z Chen IEEE Transactions on Industrial Electronics 65 (7), 5634-5643, 2017 | 504 | 2017 |
| Battery health prognosis using Brownian motion modeling and particle filtering G Dong, Z Chen, J Wei, Q Ling IEEE Transactions on Industrial Electronics 65 (11), 8646-8655, 2018 | 214 | 2018 |
| Online state of charge estimation and open circuit voltage hysteresis modeling of LiFePO4 battery using invariant imbedding method G Dong, J Wei, C Zhang, Z Chen Applied Energy 162, 163-171, 2016 | 174 | 2016 |
| Particle filter-based state-of-charge estimation and remaining-dischargeable-time prediction method for lithium-ion batteries Z Chen, H Sun, G Dong, J Wei, JI Wu Journal of Power Sources 414, 158-166, 2019 | 147 | 2019 |
| An online model-based method for state of energy estimation of lithium-ion batteries using dual filters G Dong, Z Chen, J Wei, C Zhang, P Wang Journal of Power Sources 301, 277-286, 2016 | 134 | 2016 |
| Kalman filter for onboard state of charge estimation and peak power capability analysis of lithium-ion batteries G Dong, J Wei, Z Chen Journal of Power Sources 328, 615-626, 2016 | 108 | 2016 |
| Voltage fault detection for lithium-ion battery pack using local outlier factor Z Chen, K Xu, J Wei, G Dong Measurement 146, 544-556, 2019 | 86 | 2019 |
| Data-driven battery health prognosis using adaptive Brownian motion model G Dong, F Yang, Z Wei, J Wei, KL Tsui IEEE Transactions on Industrial Informatics 16 (7), 4736-4746, 2019 | 79 | 2019 |
| System state estimation and optimal energy control framework for multicell lithium-ion battery system J Wei, G Dong, Z Chen, Y Kang Applied Energy 187, 37-49, 2017 | 75 | 2017 |
| Data‐driven lithium‐ion battery states estimation using neural networks and particle filtering C Zhang, Y Zhu, G Dong, J Wei International Journal of Energy Research 43 (14), 8230-8241, 2019 | 73 | 2019 |
| Remaining dischargeable time prediction for lithium-ion batteries using unscented Kalman filter G Dong, J Wei, Z Chen, H Sun, X Yu Journal of Power Sources 364, 316-327, 2017 | 73 | 2017 |
| On-board adaptive model for state of charge estimation of lithium-ion batteries based on Kalman filter with proportional integral-based error adjustment J Wei, G Dong, Z Chen Journal of Power Sources 365, 308-319, 2017 | 47 | 2017 |
| Lyapunov-based thermal fault diagnosis of cylindrical lithium-ion batteries J Wei, G Dong, Z Chen IEEE Transactions on Industrial Electronics 67 (6), 4670-4679, 2019 | 45 | 2019 |
| Sequential Monte Carlo filter for state-of-charge estimation of lithium-ion batteries based on auto regressive exogenous model G Dong, Z Chen, J Wei IEEE Transactions on Industrial Electronics 66 (11), 8533-8544, 2019 | 42 | 2019 |
| A physics-based aging model for lithium-ion battery with coupled chemical/mechanical degradation mechanisms G Dong, J Wei Electrochimica Acta 395, 139133, 2021 | 39 | 2021 |
| Model-based fault diagnosis of Lithium-ion battery using strong tracking Extended Kalman Filter J Wei, G Dong, Z Chen Energy Procedia 158, 2500-2505, 2019 | 36 | 2019 |
| Lyapunov-based state of charge diagnosis and health prognosis for lithium-ion batteries J Wei, G Dong, Z Chen Journal of Power Sources 397, 352-360, 2018 | 33 | 2018 |
| Constrained Bayesian dual-filtering for state of charge estimation of lithium-ion batteries G Dong, J Wei, Z Chen International Journal of Electrical Power & Energy Systems 99, 516-524, 2018 | 30 | 2018 |
| State of health estimation for lithium-ion batteries using geometric impedance spectrum features and recurrent Gaussian process regression Y Zhou, G Dong, Q Tan, X Han, C Chen, J Wei Energy 262, 125514, 2023 | 27 | 2023 |
| A multi-timescale framework for state monitoring and lifetime prognosis of lithium-ion batteries J Wei, C Chen Energy 229, 120684, 2021 | 18 | 2021 |
