1. Energy management strategy of fuzzy logic control for fuel cell truck
- Author
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Benchang Jin, Liyan Zhang, Qihong Chen, and Zhichao Fu
- Subjects
Fuel cell truck ,Rule-based ,Fuzzy logic ,Energy management ,Electrical engineering. Electronics. Nuclear engineering ,TK1-9971 - Abstract
This paper aims to address the problems of high consumption of hydrogen fuel for fuel cell hybrid electric trucks. Based on the data analysis of rule-based energy management experiments, this paper proposes a control method based on fuel cell compensation battery power, which is a fuzzy logic strategy based on real-time driver power demand and power cell SOC as input and fuel cell demand power as output. The results show that based on fuzzy logic controls, the hydrogen consumption of the fuel cell hybrid truck is reduced from 7.336 kg/10 cycles to 5.817 kg 10 cycles, a decrease of 24.8%. On the other hand, the change amplitude of the power battery SOC is reduced from 55% ∼81% to 50% ∼60%, a decrease of 20%. The fuzzy logic control strategy is fuel battery hybrid truck energy management provides a good reference for reducing consumption and SOC balance.
- Published
- 2023
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