| An adaptive fusion estimation algorithm for state of charge of lithium-ion batteries considering wide operating temperature and degradation X Shu, G Li, J Shen, W Yan, Z Chen, Y Liu Journal of Power Sources 462, 228132, 2020 | 99 | 2020 |
| State of health prediction of lithium-ion batteries based on machine learning: Advances and perspectives X Shu, S Shen, J Shen, Y Zhang, G Li, Z Chen, Y Liu Iscience 24 (11), 2021 | 94 | 2021 |
| A flexible state-of-health prediction scheme for lithium-ion battery packs with long short-term memory network and transfer learning X Shu, J Shen, G Li, Y Zhang, Z Chen, Y Liu IEEE Transactions on Transportation Electrification 7 (4), 2238-2248, 2021 | 93 | 2021 |
| Online state of health estimation for lithium-ion batteries based on support vector machine Z Chen, M Sun, X Shu, R Xiao, J Shen Applied Sciences 8 (6), 925, 2018 | 92 | 2018 |
| Online diagnosis of state of health for lithium-ion batteries based on short-term charging profiles X Shu, G Li, Y Zhang, J Shen, Z Chen, Y Liu Journal of Power Sources 471, 228478, 2020 | 86 | 2020 |
| A uniform estimation framework for state of health of lithium-ion batteries considering feature extraction and parameters optimization X Shu, G Li, J Shen, Z Lei, Z Chen, Y Liu Energy 204, 117957, 2020 | 82 | 2020 |
| Stage of charge estimation of lithium-ion battery packs based on improved cubature Kalman filter with long short-term memory model X Shu, G Li, Y Zhang, S Shen, Z Chen, Y Liu IEEE Transactions on Transportation Electrification 7 (3), 1271-1284, 2020 | 80 | 2020 |
| An on-board remaining useful life estimation algorithm for lithium-ion batteries of electric vehicles X Li, X Shu, J Shen, R Xiao, W Yan, Z Chen Energies 10 (5), 691, 2017 | 64 | 2017 |
| An adaptive multi-state estimation algorithm for lithium-ion batteries incorporating temperature compensation X Shu, G Li, J Shen, Z Lei, Z Chen, Y Liu Energy 207, 118262, 2020 | 63 | 2020 |
| State of charge prediction framework for lithium-ion batteries incorporating long short-term memory network and transfer learning Y Liu, X Shu, H Yu, J Shen, Y Zhang, Y Liu, Z Chen Journal of Energy Storage 37, 102494, 2021 | 61 | 2021 |
| Synthetic state of charge estimation for lithium-ion batteries based on long short-term memory network modeling and adaptive H-Infinity filter Z Chen, H Zhao, X Shu, Y Zhang, J Shen, Y Liu Energy 228, 120630, 2021 | 60 | 2021 |
| Optimal charging strategy design for lithium‐ion batteries considering minimization of temperature rise and energy loss Z Chen, X Shu, R Xiao, W Yan, Y Liu, J Shen International Journal of Energy Research 43 (9), 4344-4358, 2019 | 38 | 2019 |
| State of health estimation for lithium-ion batteries based on hybrid attention and deep learning H Zhao, Z Chen, X Shu, J Shen, Z Lei, Y Zhang Reliability Engineering & System Safety 232, 109066, 2023 | 32 | 2023 |
| State of charge estimation framework for lithium‐ion batteries based on square root cubature Kalman filter under wide operation temperature range J Shen, J Xiong, X Shu, G Li, Y Zhang, Z Chen, Y Liu International Journal of Energy Research 45 (4), 5586-5601, 2021 | 32 | 2021 |
| On-board state of health estimation for lithium-ion batteries based on random forest Z Chen, M Sun, X Shu, J Shen, R Xiao 2018 IEEE International Conference on Industrial Technology (ICIT), 1754-1759, 2018 | 31 | 2018 |
| Alternative combined co-estimation of state of charge and capacity for lithium-ion batteries in wide temperature scope J Shen, W Ma, J Xiong, X Shu, Y Zhang, Z Chen, Y Liu Energy 244, 123236, 2022 | 28 | 2022 |
| Operation efficiency optimization for permanent magnet synchronous motor based on improved particle swarm optimization Z Chen, W Li, X Shu, J Shen, Y Zhang, S Shen IEEE Access 9, 777-788, 2020 | 18 | 2020 |
| Remaining capacity estimation for lithium-ion batteries via co-operation of multi-machine learning algorithms X Shu, J Shen, Z Chen, Y Zhang, Y Liu, Y Lin Reliability Engineering & System Safety 228, 108821, 2022 | 17 | 2022 |
| 基于改进最小二乘支持向量机与 Box-Cox 变换的锂离子电池容量预测 舒星， 刘永刚， 申江卫， 陈峥 机械工程学报 57 (14), 118-128, 2021 | 17 | 2021 |
| Multi-step ahead voltage prediction and voltage fault diagnosis based on gated recurrent unit neural network and incremental training H Zhao, Z Chen, X Shu, J Shen, Y Liu, Y Zhang Energy 266, 126496, 2023 | 16 | 2023 |
Zheng Chen (陈峥)Kunming University of Science and TechnologyVerified email at kust.edu.cn
