Sparrow search algorithm applied to temperature control in PEM fuel cell systems |
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| Affiliation: | 1. State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing 102206, China;2. Research Center of Engineering Thermophysics, North China Electric Power University, Beijing 102206, China;3. College of Mechanical Engineering, Hunan Institute of Science and Technology, Yueyang 414006, China;4. School of Mechanical Engineering, Tianjin University of Commerce, Tianjin 300134, China |
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| Abstract: | Working temperature is a critical parameter that influences the performance of proton exchange membrane fuel cells (PEMFCs). Appropriate thermal management can improve the efficiency of PEMFCs and prevent irreversible internal damage such as membrane degradation. To solve the slow response and poor dynamic performance of traditional temperature control strategies, the dynamic temperature mode of PEMFCs is established and a temperature control strategy based on the sparrow search algorithm-proportional integral differential (SSA-PID) is proposed in this study. The performance of the SSA-PID temperature control is verified by the simulations of current step change, vehicle dynamic load, and working parameter variation. The results show that the proposed method has the advantages of fast convergence, better dynamic performance, and anti-disturbance ability. The maximum power density of the SSA-PID temperature controller is 6.58% and 12.94% higher than GA (genetic algorithm)-PID and traditional PID controllers, respectively. Moreover, the proposed method can ensure temperature fluctuations within 0.5 K under dynamic disturbance. |
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| Keywords: | PEMFC Temperature control Sparrow search algorithm Thermal management |
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