王斌  (副研究员)

博士生导师 硕士生导师

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入职时间:2017-05-03

学历:博士研究生毕业

性别:男

学位:博士

在职信息:在职

学科:机械工程

发表论文

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  • Chunwu Xiao, Bin Wang*, Chaohui Wang, Two-Step Energy Management Optimization Based on Anti-Disturbance Model Predictive Control for Hybrid Power System in Unmanned Aerial Vehicle Applications[J]. IEEE Transactions on Transportation Electrification, 18 September 2025,  10.1109/TTE.2025.3611485
  • Yizhe Yan#, Feng Hai# Bin Wang#,Wenrui Cao, Mingtao Li*, et.al., Machine Learning Accelerates High-Voltage Electrolyte Discovery for Lithium Metal Batteries[J]. Energy Storage Materials, 2025, 104312. https://doi.org/10.1016/j.ensm.2025.104312
  • Rui Du, Bin Wang*, Yanfeng Zhao, et.al. High-voltage bidirectional balancing structure and model predictive control for cell balancing of supercapacitors in heavy duty HEV applications[J]. Energy, 2025, 326, 13629.
  • Yizhe Yan, Bin Wang*, Chaohui Wang, et.al. Novel synergistic framework design and optimization for hydrogen-electric hybrid power system in unmanned aerial vehicle applications[J]. IEEE Transactions on Transportation Electrification, 2025, 11(1): 337-347.
  • Yizhe Yan, Bin Wang*, Chaohui Wang, et.al. Adaptive maximum available energy evaluation for lithium battery in hydrogen-electric hybrid unmanned aerial vehicle applications considering dynamic ambient temperature and aging level[J]. Energy Conversion and Management, 2024, 315: 118685.
  • Yizhe Yan, Bin Wang*, Chaohui Wang, et.al., Adaptive maximum power point tracking based on Kalman filter for hydrogen fuel cell in hybrid unmanned aerial vehicle applications[J]. International Journal of Hydrogen Energy, 2023.03.288.
  • Bin Wang, Chaohui Wang, Zhiyu Wang, et al. Adaptive state of energy evaluation for supercapacitor in emergency power system of more-electric aircraft[J]. Energy, 2023, 263: 125632.
  • Xiao Chunwu, Wang Bin*, Zhao Dan, et al. Comprehensive investigation on Lithium batteries for electric and hybrid-electric unmanned aerial vehicle applications, Thermal Science and Engineering Progress, 2023, 38: 101677. (ESI高被引)
  • Xiao Chunwu, Wang Bin, Chaohui Wang, et.al. Design of a novel fully-active PEMFC-Lithium battery hybrid power system based on two automatic ON/OFF switches for unmanned aerial vehicle applications[J]. Energy Conversion and Management, 2023, 292: 11747.
  • Bin Wang, Chaohui Wang, Zhiyu Wang, et al. Adaptive energy estimation for supercapacitor based on a real-time voltage state observer in electric vehicle applications[J]. IEEE Transactions on Power Electronics, 2021, 36(7): 7337-7341.
  • Bin Wang and Dan Zhao, Fuel Cells for Unmanned Aerial Vehicles, a Book Chapter on Fuel Cell and Hydrogen Technologies in Aviation[M]. Berlin, Germany: Springer, 2021.
  • Bin Wang, Dan Zhao, Weixuan Li, et al. Current technologies and challenges of applying fuel cell hybrid propulsion systems in unmanned aerial vehicles[J]. Progress in Aerospace Sciences, 2020, 116: 100620.
  • Bin Wang, Qiao Hu and Zhiyu Wang. A high-efficiency double DC-DC conversion system for fuel cell/battery hybrid power propulsion system in long cruising range underwater vehicles[J]. Energy & Fuels, 2020, 34(7): 8872–8883.
  • Wang Bin, Wang Chaohui, Hu Qiao, et al. Modeling the dynamic self-discharge effects of supercapacitors using a controlled current source based ladder equivalent circuit, Journal of Energy Storage, 2020, 30: 101473.
  • Bin Wang, Chaohui Wang*, Qiao Hu, et al. Adaptive Sliding Mode Control with Enhanced Optimal Reaching Law for Boost Converter Based Hybrid Power Source in Electric Vehicles[J]. Journal of Power Electronics, 2019, 19 (2): 549-559.
  • Bin Wang*, Guangliang Ma, Dan Xu, et al., "Switching sliding-mode control strategy based on multi-type restrictive condition for voltage control of buck converter in auxiliary energy source," Applied Energy, vol. 228, pp. 1373-1384, 2018. 
  • Bin Wang*, Jun Xu, Dan Xu, et al. Implementation of an estimator-based adaptive sliding mode control strategy for a boost converter based battery/supercapacitor hybrid energy storage system in electric vehicles[J]. Energy Conversion and Management, 2017, 151:562- 572.
  • Bin Wang, Jun Xu*, Binggang Cao, et al. Adaptive mode switch strategy based on simulated annealing optimization of a multi-mode hybrid energy storage system for electric vehicles[J]. Applied Energy, 2017, 194: 596-608.
  • Bin Wang, Jun Xu, Rong-Jong Wai*, et al. Adaptive sliding-mode with hysteresis control strategy for simple multimode hybrid energy storage system in electric vehicles[J]. IEEE Transactions on Industrial Electronics, 2017, 64 (2): 1404-1414.
  • Bin Wang, Jun Xu*, Binggang Cao, et al. A novel multimode hybrid energy storage system and its energy management strategy for electric vehicles[J]. Journal of Power Sources, 2015, 281: 432-443.
  • Bin Wang, Jun Xu*, Binggang Cao, et al. Compound-type hybrid energy storage system and its mode control strategy for electric vehicles[J]. Journal of Power Electronics, 2015, 15 (3): 849-859.