Fuzzy control-based energy management for fuel cell bus

Ling Liu; Yongbo Xie; Wenming Wang; Chao Song; Xi Li

doi:10.1117/12.2514419

29 October 2018 Fuzzy control-based energy management for fuel cell bus

Ling Liu, Yongbo Xie, Wenming Wang, Chao Song, Xi Li

Proceedings Volume 10836, 2018 International Conference on Image and Video Processing, and Artificial Intelligence; 108361P (2018) https://doi.org/10.1117/12.2514419
Event: 2018 International Conference on Image, Video Processing and Artificial Intelligence, 2018, Shanghai, China

Abstract

The core of the overall fuel cell vehicle control is energy distribution strategy. This study studies fuel cell buses and aims to extend the fuel cell lifespan to guarantee battery lifespan and to enhance the vehicle's overall performance. We proposed a fuzzy method for energy distribution and state of charge feedback and designed a fuel cell bus energy distribution model based on the Takagi–Sugeno fuzzy control. Secondary development based on these results was carried out through the ADVISOR simulation platform. Comparison of simulation results shows that the proposed control strategy not only satisfies the full vehicle dynamic performance requirements, but also enhances the fuel cell lifespan and guarantees the battery lifespan, while remains relatively economically competitive.

Citation Download Citation

Ling Liu, Yongbo Xie, Wenming Wang, Chao Song, and Xi Li "Fuzzy control-based energy management for fuel cell bus", Proc. SPIE 10836, 2018 International Conference on Image and Video Processing, and Artificial Intelligence, 108361P (29 October 2018); https://doi.org/10.1117/12.2514419

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