Optimization of energy management strategy for fuel cell vehicles based on hybrid genetic algorithm

Ruyang Zhang; Qi Li

doi:10.1117/12.2652881

20 October 2022 Optimization of energy management strategy for fuel cell vehicles based on hybrid genetic algorithm

Ruyang Zhang, Qi Li

Proceedings Volume 12350, 6th International Workshop on Advanced Algorithms and Control Engineering (IWAACE 2022); 1235002 (2022) https://doi.org/10.1117/12.2652881
Event: 6th International Workshop on Advanced Algorithms and Control Engineering (IWAACE 2022), 2022, Qingdao, China

Abstract

Genetic algorithm is an algorithm that searches for the optimal solution by simulating the natural evolutionary process. The development of fuel cell vehicles is of great significance to the traditional automobile industry as well as the energy industry, and is an important initiative to protect the environment and conserve resources. However, fuel cell vehicles still face the problem of insufficient range. One solution is to form a multi-energy source system by combining fuel cells with secondary charging auxiliary power or other power sources. Therefore, to give full play to the advantages of hybrid power, it is necessary to solve the energy management problems brought about by hybrid power. In this study, the applicability of energy management strategy optimization for fuel cell vehicles is analyzed with the help of hybrid genetic algorithms.

Citation Download Citation

Ruyang Zhang and Qi Li "Optimization of energy management strategy for fuel cell vehicles based on hybrid genetic algorithm", Proc. SPIE 12350, 6th International Workshop on Advanced Algorithms and Control Engineering (IWAACE 2022), 1235002 (20 October 2022); https://doi.org/10.1117/12.2652881

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