Because of the slow dynamic response and poor stability of fuel cell(FC), composite power system is considered as a good solution. However, the complex energy storage makes the power and energy flow of the power system more complex, and new technologies are urgently needed to solve the problem of multi-mode energy distribution. Only by formulating efficient and reasonable energy management and optimization strategies can the performance and advantages of the complex power system be fully exploited. In this paper, the hybrid power system of FC vehicle is analyzed firstly, and the dual DC/DC converter structure is used as the research model. In order to reduce the operating cost of the system, the artificial fish swarm algorithm was introduced into the application scenario of FC tram, and the global optimal energy management strategy was proposed. The experimental results show that the ability management strategy based on artificial fish swarm algorithm is more effective in improving fuel economy.

Farquhar Leng. Fuel Cell in Hybrid Electric Vehicle with Artificial Fish Swarm Algorithm. Kinetic Mechanical Engineering (2020), Vol. 1, Issue 3: 1-8. https://doi.org/10.38007/KME.2020.010301.

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