Huei Peng mostly deals with Control theory, Automotive engineering, Control engineering, Simulation and Optimal control. In the field of Control theory, his study on Adaptive control, Vehicle dynamics and Feed forward overlaps with subjects such as Mathematical model. The Automotive engineering study combines topics in areas such as Powertrain, Hybrid system, Power control and Automotive industry.
His Control engineering research integrates issues from Electricity generation, Power management, Stochastic programming and Energy management. The concepts of his Power management study are interwoven with issues in Truck and Hybrid vehicle. His Optimal control study also includes fields such as
His primary areas of study are Automotive engineering, Control theory, Control engineering, Simulation and Vehicle dynamics. Huei Peng has researched Automotive engineering in several fields, including Powertrain and Dynamic programming. Huei Peng interconnects Electric vehicle, Optimal design, Energy management and Benchmark in the investigation of issues within Powertrain.
His works in Control theory, Optimal control, Feed forward, Control system and Adaptive control are all subjects of inquiry into Control theory. He has included themes like Control, Cruise control, Hybrid vehicle, Power management and Automotive industry in his Control engineering study. His Simulation study frequently draws connections between adjacent fields such as Active safety.
His main research concerns Automotive engineering, Powertrain, Control theory, Fuel efficiency and Vehicle dynamics. He studies Clutch which is a part of Automotive engineering. The various areas that he examines in his Control theory study include Tracking and Model predictive control.
His research in Vehicle dynamics intersects with topics in Frequency domain, Brake, Optimal control and Feed forward. His Control theory study results in a more complete grasp of Control engineering. His work in Control engineering addresses issues such as Collision avoidance, which are connected to fields such as Obstacle avoidance.
His primary areas of investigation include Powertrain, Automotive engineering, Simulation, Fuel efficiency and Control theory. His work deals with themes such as Efficient energy use, Clutch, Optimal design, Markov chain and Driving cycle, which intersect with Powertrain. In his study, which falls under the umbrella issue of Automotive engineering, Skid, Robot, Motion planning and Power is strongly linked to Propulsion.
His Simulation study also includes
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.
Power management strategy for a parallel hybrid electric truck
Chan-Chiao Lin;Huei Peng;J.W. Grizzle;Jun-Mo Kang.
IEEE Transactions on Control Systems and Technology (2003)
A comparative study of equivalent circuit models for Li-ion batteries
Xiaosong Hu;Xiaosong Hu;Shengbo Li;Huei Peng.
Journal of Power Sources (2012)
Control of Fuel Cell Power Systems: Principles, Modeling, Analysis and Feedback Design
Jay T. Pukrushpan;Anna G Stefanopoulou;Huei Peng.
Automated vehicle control developments in the PATH program
S.E. Shladover;C.A. Desoer;J.K. Hedrick;M. Tomizuka.
IEEE Transactions on Vehicular Technology (1991)
Optimal Control of Hybrid Electric Vehicles Based on Pontryagin's Minimum Principle
Namwook Kim;Sukwon Cha;Huei Peng.
IEEE Transactions on Control Systems and Technology (2011)
Modeling and Control of a Power-Split Hybrid Vehicle
Jinming Liu;Huei Peng.
IEEE Transactions on Control Systems and Technology (2008)
Control of Fuel Cell Power Systems
Jay T. Pukrushpan;Anna G. Stefanopoulou;Huei Peng.
A stochastic control strategy for hybrid electric vehicles
Chan-Chiao Lin;Huei Peng;J.W. Grizzle.
american control conference (2004)
Control of fuel cell breathing
J.T. Pukrushpan;A.G. Stefanopoulou;Huei Peng.
IEEE Control Systems Magazine (2004)
Control-Oriented Modeling and Analysis for Automotive Fuel Cell Systems
Jay T. Pukrushpan;Huei Peng;Anna G. Stefanopoulou.
Journal of Dynamic Systems Measurement and Control-transactions of The Asme (2004)
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: