| Long short-term memory recurrent neural network for remaining useful life prediction of lithium-ion batteries Y Zhang, R Xiong, H He, MG Pecht IEEE Transactions on Vehicular Technology 67 (7), 5695-5705, 2018 | 1028 | 2018 |
| Lithium-ion battery health prognosis based on a real battery management system used in electric vehicles R Xiong, Y Zhang, J Wang, H He, S Peng, M Pecht IEEE Transactions on Vehicular Technology 68 (5), 4110-4121, 2018 | 393 | 2018 |
| A double-scale, particle-filtering, energy state prediction algorithm for lithium-ion batteries R Xiong, Y Zhang, H He, X Zhou, MG Pecht IEEE Transactions on Industrial Electronics 65 (2), 1526-1538, 2017 | 277 | 2017 |
| Lithium-ion battery pack state of charge and state of energy estimation algorithms using a hardware-in-the-loop validation Y Zhang, R Xiong, H He, W Shen IEEE Transactions on Power Electronics 32 (6), 4421-4431, 2016 | 239 | 2016 |
| Lithium-ion battery remaining useful life prediction with Box–Cox transformation and Monte Carlo simulation Y Zhang, R Xiong, H He, MG Pecht IEEE Transactions on Industrial Electronics 66 (2), 1585-1597, 2018 | 220 | 2018 |
| A novel Gaussian model based battery state estimation approach: State-of-Energy HW He, YZ Zhang, R Xiong, C Wang Applied Energy 151, 41-48, 2015 | 125 | 2015 |
| Validation and verification of a hybrid method for remaining useful life prediction of lithium-ion batteries YZ Zhang, R Xiong, HW He, M Pecht Journal of Cleaner Production 212, 240-249, 2019 | 119 | 2019 |
| A LSTM-RNN method for the lithuim-ion battery remaining useful life prediction YZ Zhang, R Xiong, HW He, Z Liu 2017 prognostics and system health management conference (phm-harbin), 1-4, 2017 | 112 | 2017 |
| Aging characteristics-based health diagnosis and remaining useful life prognostics for lithium-ion batteries YZ Zhang, R Xiong, HW He, X Qu, M Pecht ETransportation 1, 100004, 2019 | 102 | 2019 |
| A comparative study on the applicability of ultracapacitor models for electric vehicles under different temperatures C Wang, H He, Y Zhang, H Mu Applied energy 196, 268-278, 2017 | 63 | 2017 |
| State of charge-dependent aging mechanisms in graphite/Li (NiCoAl) O2 cells: Capacity loss modeling and remaining useful life prediction Y Zhang, R Xiong, H He, X Qu, M Pecht Applied Energy 255, 113818, 2019 | 57 | 2019 |
| Cloud-based in-situ battery life prediction and classification using machine learning Y Zhang, M Zhao Energy Storage Materials 57, 346-359, 2023 | 54 | 2023 |
| A real-time joint estimator for model parameters and state of charge of lithium-ion batteries in electric vehicles J Gao, Y Zhang, H He Energies 8 (8), 8594-8612, 2015 | 30 | 2015 |
| In-situ battery life prognostics amid mixed operation conditions using physics-driven machine learning Y Zhang, X Feng, M Zhao, R Xiong Journal of Power Sources 577, 233246, 2023 | 22 | 2023 |
| The estimation of state of charge for power battery packs used in hybrid electric vehicle S Xie, R Xiong, Y Zhang, H He Energy Procedia 105, 2678-2683, 2017 | 22 | 2017 |
| Regenerative braking-based hierarchical model predictive cabin thermal management for battery life extension of autonomous electric vehicles Y Zhang, L Tong Journal of Energy Storage 52, 104662, 2022 | 20 | 2022 |
| Optimal eco-driving control of autonomous and electric trucks in adaptation to highway topography: Energy minimization and battery life extension Y Zhang, X Qu, L Tong IEEE Transactions on Transportation Electrification 8 (2), 2149-2163, 2022 | 20 | 2022 |
| A data-driven based state of energy estimator of lithium-ion batteries used to supply electric vehicles YZ Zhang, HW He, R Xiong Energy Procedia 75, 1944-1949, 2015 | 20 | 2015 |
| Development of optimal speed trajectory control strategy for electric vehicles to suppress battery aging Y Jia, G Luo, Y Zhang Green Energy and Intelligent Transportation 1 (2), 100030, 2022 | 17 | 2022 |
| A twin delayed deep deterministic policy gradient-based energy management strategy for a battery-ultracapacitor electric vehicle considering driving condition recognition with … R Liu, C Wang, A Tang, Y Zhang, Q Yu Journal of Energy Storage 71, 108147, 2023 | 12 | 2023 |
HE Hongwen 何洪文Professor of Mechanical Engineering,Beijing Institute of Technology北京理工大学在 bit.edu.cn 的电子邮件经过验证
