Fuel cell passenger car temperature tracking control based on cascade internal model control with nonlinear feedforward compensate. (5th April 2022)

• Record Type: Journal Article
• Authors: Jiao, Jieran; Chen, Fengxiang; Hou, Zhongjun; Cai, Jun; Zhang, Weidong; Li, Yuansong
• Is Part Of: International journal of hydrogen energy. Volume 47:Number 29(2022)
• Page Start: 13946
• Page End: 13959
• Publication Date: 2022-04-05
• Subjects: Real vehicle test -- Thermal system modeling and control -- Disturbance suppression -- Control system performance -- Multiple input single output system control; Hydrogen as fuel -- Periodicals; Hydrogène (Combustible) -- Périodiques; Hydrogen as fuel; Periodicals; 665.81
• DOI: 10.1016/j.ijhydene.2022.02.131
• Languages: English
• ISSNs: 0360-3199

Abstract

Abstract: The heat dissipation capacity of the radiator of vehicle fuel cell thermal management system is easily affected by the ambient, so the system needs to have a high ability to suppress disturbance. Based on cascade internal model control with nonlinear feedforward compensate (CIFC), a temperature tracking control scheme is designed for a real vehicle fuel cell system. By defining the heat dissipation coefficient, CIFC can compensate the heat dissipation capacity of the radiator in different environment and driving condition for real vehicle so that reduce the impact of environmental factors on the fuel cell temperature management system. The control scheme is applied on a real fuel cell passenger car. Simulation and real vehicle experiments show that the scheme has good accuracy, stability, rapidity and robustness. The simulation results show that the algorithm can track the set temperature under each load current without steady-state error, the step response adjustment time is 54s and there is no overshoot both under normal atmospheric temperature and higher atmospheric temperature. The real vehicle experiment results show that the overshoot is less than 2°C, the temperature tracking speed can reach 1.1°C, and the system can stay stable with the change of vehicle speed and load without steady-state error. Highlights: Model based controller is proposed for fuel cell temperature control. Experiments on a real fuel cell vehicle are implemented. There is no steady-state error in the experiment. Overshooting can be limited to less than 2 °C in the experiments.