Energy Storage Science and Technology ›› 2023, Vol. 12 ›› Issue (3): 857-869.doi: 10.19799/j.cnki.2095-4239.2022.0703

• Energy Storage System and Engineering • Previous Articles     Next Articles

Modeling of a proton exchange membrane fuel cell cooling system based on the Simscape temperature control strategy

Xing WANG(), Jun SUN(), Ningfang CHEN, Li YAN   

  1. School of Ship-Ocean and Energy and Power Engineering, Wuhan University of Technology, Wuhan 430063, Hubei, China
  • Received:2022-11-25 Revised:2022-12-09 Online:2023-03-05 Published:2023-04-14
  • Contact: Jun SUN E-mail:287748240@qq.com;sunjun@whut.edu.cn

Abstract:

To improve the accuracy of the cooling system model of a Proton Exchange Membrane Fuel Cell (PEMFC) and control it conveniently and effectively, key cooling system modules, such as an expansion tank, coolant circulating pump, and radiator are constructed based on Simulink/Simscape, and the physical modeling and simulation of the fuel cell cooling system are performed. The temperature of the water-cooled fuel cell stack and the temperature difference between the coolant in and out of the stack are mainly affected by the radiator's airflow and the circulating water flow. Given the strong coupling relationship between the airflow and the circulating water flow, a combined control strategy of the coolant flow following the current control and the linear active disturbance rejection control airflow is proposed, which realizes the decoupling of the cooling fan and the circulating water pump control. Therefore, an elite genetic algorithm is proposed to optimize the parameters of Active Disturbance Rejection Control to ensure the effectiveness of the control strategy and reduce the workload of setting parameters. When the optimized control strategy is disturbed by the input, the maximum overshoot of the system becomes 1.23% and can be stabilized again within 30 s. Therefore, the temperature of the fuel cell stack can be effectively controlled. Simulation results show that the optimized control approach has excellent resilience and anti-interference ability and can efficiently regulate the stack and coolant temperature difference under the influence of step load current without interference or white noise interference.

Key words: proton exchange membrane fuel cell, cooling system model, traffic following, active disturbance rejection control, genetic algorithm optimization

CLC Number: