2023 - Research.com Electronics and Electrical Engineering in China Leader Award
Energy management, Battery, Automotive engineering, Electric vehicle and State of charge are his primary areas of study. His Energy management research integrates issues from Model predictive control, Smart grid, Renewable energy and Energy storage. His research in Battery tackles topics such as Simulation which are related to areas like Electricity.
His Automotive engineering research is multidisciplinary, incorporating perspectives in Powertrain, Power management, Efficient energy use and Hybrid electric bus. His study in State of charge is interdisciplinary in nature, drawing from both State of health and Control theory. Xiaosong Hu interconnects Dynamic programming, Electronic engineering, Lithium-ion battery and Reinforcement learning in the investigation of issues within Control theory.
Xiaosong Hu mainly investigates Battery, Energy management, Automotive engineering, Control theory and State of charge. The various areas that Xiaosong Hu examines in his Battery study include Reliability engineering and Voltage. The Energy management study combines topics in areas such as Power, Dynamic programming, Efficient energy use and Model predictive control.
His Automotive engineering research is multidisciplinary, incorporating elements of Powertrain, Electric vehicle, Power management and Energy storage. His studies deal with areas such as Control engineering, Hybrid electric bus and Optimal control as well as Powertrain. His study focuses on the intersection of State of charge and fields such as Electronic engineering with connections in the field of Electrical impedance.
Xiaosong Hu focuses on Battery, Automotive engineering, Energy management, State of charge and Reliability engineering. His Battery research includes themes of Kriging and Lithium. His work carried out in the field of Automotive engineering brings together such families of science as Electric vehicle, Particle swarm optimization and Energy storage.
His research in Energy management intersects with topics in Power, Model predictive control, Dynamic programming and Powertrain, Torque. His biological study spans a wide range of topics, including Kalman filter, Thermal conductivity, Robustness and Voltage. His Robustness research includes elements of Control engineering, Multi-agent system and Fuel cells.
His primary areas of study are Battery, State of charge, Reliability engineering, Lithium-ion battery and Automotive engineering. Battery is a subfield of Power that Xiaosong Hu tackles. His State of charge study incorporates themes from Battery pack, Thermal, Filter and Kriging.
He combines subjects such as Battery degradation, Anode, Smart grid and Energy storage with his study of Reliability engineering. Fuel cells is closely connected to Energy management in his research, which is encompassed under the umbrella topic of Automotive engineering. Xiaosong Hu has included themes like Control theory and Voltage in his State of health study.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
A comparative study of equivalent circuit models for Li-ion batteries
Xiaosong Hu;Xiaosong Hu;Shengbo Li;Huei Peng.
Journal of Power Sources (2012)
Combined State of Charge and State of Health estimation over lithium-ion battery cell cycle lifespan for electric vehicles
Yuan Zou;Xiaosong Hu;Hongmin Ma;Shengbo Eben Li.
Journal of Power Sources (2015)
Adaptive unscented Kalman filtering for state of charge estimation of a lithium-ion battery for electric vehicles
Fengchun Sun;Xiaosong Hu;Yuan Zou;Siguang Li.
Energy Management in Plug-in Hybrid Electric Vehicles: Recent Progress and a Connected Vehicles Perspective
Clara Marina Martinez;Xiaosong Hu;Dongpu Cao;Efstathios Velenis.
IEEE Transactions on Vehicular Technology (2017)
A review of supercapacitor modeling, estimation, and applications: A control/management perspective
Lei Zhang;Lei Zhang;Xiaosong Hu;Zhenpo Wang;Fengchun Sun.
Renewable & Sustainable Energy Reviews (2018)
Velocity Predictors for Predictive Energy Management in Hybrid Electric Vehicles
Chao Sun;Xiaosong Hu;Scott J. Moura;Fengchun Sun.
IEEE Transactions on Control Systems and Technology (2015)
Technological Developments in Batteries: A Survey of Principal Roles, Types, and Management Needs
Xiaosong Hu;Changfu Zou;Caiping Zhang;Yang Li.
IEEE Power & Energy Magazine (2017)
Longevity-conscious dimensioning and power management of the hybrid energy storage system in a fuel cell hybrid electric bus
Xiaosong Hu;Lars Johannesson;Nikolce Murgovski;Bo Egardt.
Applied Energy (2015)
Energy efficiency analysis of a series plug-in hybrid electric bus with different energy management strategies and battery sizes
Xiaosong Hu;Nikolce Murgovski;Lars Johannesson;Bo Egardt.
Applied Energy (2013)
Battery Health Prognosis for Electric Vehicles Using Sample Entropy and Sparse Bayesian Predictive Modeling
Xiaosong Hu;Jiuchun Jiang;Dongpu Cao;Bo Egardt.
IEEE Transactions on Industrial Electronics (2016)
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below: