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Xing Shu (舒星)
Xing Shu (舒星)
Chongqing University of Technology
Verified email at kust.edu.cn
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Cited by
Cited by
Year
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
992020
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
942021
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
932021
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
922018
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
872020
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
832020
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
802020
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
652017
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
642020
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
612021
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
612021
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
382019
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
342023
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
322021
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
312018
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
292022
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
182022
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
182020
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
172021
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
162023
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