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Weixiang Shen (沈维祥)
Weixiang Shen (沈维祥)
Professor of Electrical Engineering, Swinburne University of Technology, Australia
Bestätigte E-Mail-Adresse bei swin.edu.au - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Lithium-ion battery aging mechanism and diagnosis method for automotive applications: Recent advances and perspectives
R Xiong, Y Pan, WX Shen, H Li, F Sun
Renewable and Sustainable Energy Reviews 131 (110048), 14, 2020
4482020
A lithium-ion battery-in-the-loop approach to test and validate multi-scale dual H infinity filters for state of charge and capacity estimation
C Chen, R Xiong, WX Shen
IEEE Transactions on Power Electronics 33 (1), 2018
2822018
Single-phase uninterruptible power supply based on Z-source inverter
Zhou, Zhi Jian, Zhang, Xing, Xu, Po, WX Shen
Industrial Electronics, IEEE Transactions on 55 (8), 2997-3004, 2008
268*2008
Optimally sizing of solar array and battery in a standalone photovoltaic system in Malaysia
WX Shen
Renewable Energy 34 (1), 348-352, 2009
2552009
The available capacity computation model based on artificial neural network for lead–acid batteries in electric vehicles
Chan, CC, Lo, EWC, WX Shen
Journal of Power Sources 87 (1), 201-204, 2000
2522000
Review of mechanical design and strategic placement technique of a robust battery pack for electric vehicles
S Arora, WX Shen, A Kapoor
Renewable and Sustainable Energy Reviews 60, 1319–1331, 2016
2502016
An Overview of Lithium-ion Batteries for Electric Vehicles
X Chen, WX Shen, T Vo, Z Cao, A Kapoor
The 10th International Power and Energy Conference (IPEC 2012), 12 - 14 …, 2012
2392012
Charging Algorithms of Lithium-Ion Batteries: an Overview
WX Shen, TT Vo, A Kapoor
Proceedings of the 2012, 6th IEEE Conference on Industrial Electronics and …, 2012
2382012
A 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, WX Shen
IEEE Transactions on Power Electronics, 2016
2362016
A novel fractional order model for state of charge estimation in lithium ion batteries
R Xiong, J Tian, WX Shen, F Sun
IEEE Transactions on Vehicular Technology, 2018
2332018
A novel approach for state of charge estimation based on adaptive switching gain sliding mode observer in electric vehicles
X Chen, WX Shen, Z Cao, A Kapoor
Journal of Power Sources 246 (15), 667-678, 2014
2302014
Sliding Mode Control for Steer-by-Wire Systems with AC motors in Road Vehicles
H Wang, H. Kong, Z Man, D Tuan, Z Cao, WX Shen
IEEE Transactions on Industrial Electronics 61 (3), 1596 - 1611, 2013
2262013
Lithium-ion Battery Parameters and State-of-Charge Joint Estimation Based on H infinity and Unscented Kalman Filters
Q Yu, R Xiong, C Lin, WX Shen, J Deng
IEEE Transactions on Vehicular Technology, 2017
2242017
A novel multi-model probability battery state of charge estimation approach for electric vehicles using H-infinity algorithm
Cheng Lin, Hao Mu, Rui Xiong, WX Shen
Applied Energy 166, 76-83, 2016
2162016
A Sensor Fault Diagnosis Method for a Lithium-Ion Battery Pack in Electric Vehicles
R Xiong, Q Yu, WX Shen, C Lin, F Sun
IEEE Transactions on Power Electronics, 2019
2152019
State-of-charge estimation of LiFePO4 batteries in electric vehicles: A deep-learning enabled approach
J Tian, R Xiong, WX Shen, J Lu
Applied Energy 291, 116812, 2021
2122021
Towards a smarter battery management system: A critical review on optimal charging methods of lithium ion batteries
Q Lin, J Wang, R Xiong, WX Shen, H He
Energy, 2019
2112019
Robust Adaptive Sliding Mode Observer Using RBF Neural Network for Lithium-ion Battery State of Charge Estimation in Electric Vehicles
Xiaopeng Chen, WX Shen, MX Dai, Z. Cao, J. Jin and A. Kapoor
IEEE Transactions on Vehicular Technology, 2015
206*2015
State of health estimation based on differential temperature for lithium ion batteries
J Tian, R Xiong, WX Shen
IEEE Transactions on Power Electronics, 2020
2012020
State-of-charge estimation of Lithium-ion battery using an improved neural network model and extended Kalman filter
C Chen, R Xiong, R Yang, WX Shen, F Sun
Journal of Cleaner Production, 2019
1982019
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