| A comprehensive review of battery modeling and state estimation approaches for advanced battery management systems Y Wang, J Tian, Z Sun, L Wang, R Xu, M Li, Z Chen Renewable and Sustainable Energy Reviews 131, 110015, 2020 | 901 | 2020 |
| A novel Gaussian process regression model for state-of-health estimation of lithium-ion battery using charging curve D Yang, X Zhang, R Pan, Y Wang, Z Chen Journal of Power Sources 384, 387-395, 2018 | 600 | 2018 |
| 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 | 526 | 2017 |
| An online method for lithium-ion battery remaining useful life estimation using importance sampling and neural networks J Wu, C Zhang, Z Chen Applied energy 173, 134-140, 2016 | 465 | 2016 |
| A new model for State-of-Charge (SOC) estimation for high-power Li-ion batteries Y He, XT Liu, CB Zhang, ZH Chen Applied energy 101, 808-814, 2013 | 324 | 2013 |
| A method for the estimation of the battery pack state of charge based on in-pack cells uniformity analysis L Zhong, C Zhang, Y He, Z Chen Applied Energy 113, 558-564, 2014 | 276 | 2014 |
| A novel temperature-compensated model for power Li-ion batteries with dual-particle-filter state of charge estimation X Liu, Z Chen, C Zhang, J Wu Applied Energy 123, 263-272, 2014 | 253 | 2014 |
| A method for state-of-charge estimation of LiFePO4 batteries at dynamic currents and temperatures using particle filter Y Wang, C Zhang, Z Chen Journal of power sources 279, 306-311, 2015 | 245 | 2015 |
| A novel state of health estimation method of Li-ion battery using group method of data handling J Wu, Y Wang, X Zhang, Z Chen Journal of Power Sources 327, 457-464, 2016 | 228 | 2016 |
| 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 | 224 | 2018 |
| Energy management strategy for battery/supercapacitor/fuel cell hybrid source vehicles based on finite state machine Y Wang, Z Sun, Z Chen Applied energy 254, 113707, 2019 | 213 | 2019 |
| State-of-health estimation for the lithium-ion battery based on support vector regression D Yang, Y Wang, R Pan, R Chen, Z Chen Applied Energy 227, 273-283, 2018 | 213 | 2018 |
| A method for joint estimation of state-of-charge and available energy of LiFePO4 batteries Y Wang, C Zhang, Z Chen Applied energy 135, 81-87, 2014 | 208 | 2014 |
| Modeling and state-of-charge prediction of lithium-ion battery and ultracapacitor hybrids with a co-estimator Y Wang, C Liu, R Pan, Z Chen Energy 121, 739-750, 2017 | 204 | 2017 |
| 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 | 185 | 2016 |
| A method for state of energy estimation of lithium-ion batteries based on neural network model G Dong, X Zhang, C Zhang, Z Chen Energy 90, 879-888, 2015 | 185 | 2015 |
| A method for state of energy estimation of lithium-ion batteries at dynamic currents and temperatures X Liu, J Wu, C Zhang, Z Chen Journal of Power Sources 270, 151-157, 2014 | 177 | 2014 |
| A review of key issues for control and management in battery and ultra-capacitor hybrid energy storage systems Y Wang, L Wang, M Li, Z Chen ETransportation 4, 100064, 2020 | 169 | 2020 |
| Adaptive energy management strategy for fuel cell/battery hybrid vehicles using Pontryagin's Minimal Principle X Li, Y Wang, D Yang, Z Chen Journal of Power Sources 440, 227105, 2019 | 167 | 2019 |
| A framework for state-of-charge and remaining discharge time prediction using unscented particle filter Y Wang, Z Chen Applied Energy 260, 114324, 2020 | 162 | 2020 |
Yujie WangAssociate Professor, University of Science and Technology of China在 ustc.edu.cn 的电子邮件经过验证
