| 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 | 821 | 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 | 577 | 2018 |
| 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 | 241 | 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 | 221 | 2016 |
| 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 | 210 | 2019 |
| 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 | 210 | 2014 |
| 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 | 201 | 2018 |
| 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 | 199 | 2017 |
| A novel framework for Lithium-ion battery modeling considering uncertainties of temperature and aging X Tang, Y Wang, C Zou, K Yao, Y Xia, F Gao Energy conversion and management 180, 162-170, 2019 | 166 | 2019 |
| 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 | 158 | 2019 |
| 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 | 156 | 2020 |
| A neural network based state-of-health estimation of lithium-ion battery in electric vehicles D Yang, Y Wang, R Pan, R Chen, Z Chen Energy Procedia 105, 2059-2064, 2017 | 152 | 2017 |
| A framework for state-of-charge and remaining discharge time prediction using unscented particle filter Y Wang, Z Chen Applied Energy 260, 114324, 2020 | 151 | 2020 |
| A method for state-of-charge estimation of LiFePO4 batteries based on a dual-circuit state observer X Tang, Y Wang, Z Chen Journal of Power Sources 296, 23-29, 2015 | 149 | 2015 |
| A novel active equalization method for lithium-ion batteries in electric vehicles Y Wang, C Zhang, Z Chen, J Xie, X Zhang Applied energy 145, 36-42, 2015 | 145 | 2015 |
| Development of energy management system based on a rule-based power distribution strategy for hybrid power sources Y Wang, Z Sun, Z Chen Energy 175, 1055-1066, 2019 | 141 | 2019 |
| Degradation model and cycle life prediction for lithium-ion battery used in hybrid energy storage system C Liu, Y Wang, Z Chen Energy 166, 796-806, 2019 | 139 | 2019 |
| A fractional-order model-based state estimation approach for lithium-ion battery and ultra-capacitor hybrid power source system considering load trajectory Y Wang, G Gao, X Li, Z Chen Journal of Power Sources 449, 227543, 2020 | 129 | 2020 |
| An on-line estimation of battery pack parameters and state-of-charge using dual filters based on pack model X Zhang, Y Wang, D Yang, Z Chen Energy 115, 219-229, 2016 | 124 | 2016 |
| Probability based remaining capacity estimation using data-driven and neural network model Y Wang, D Yang, X Zhang, Z Chen Journal of Power Sources 315, 199-208, 2016 | 123 | 2016 |
Zonghai Chen中国科学技术大学ustc.edu.cn의 이메일 확인됨
