Research on energy-saving optimization strategies of high-power hydrogen fuel cell power systems

大功率氢燃料电池动力系统节能优化策略研究

¹ School of Automobile, Chang’an University, Xi’an 710026, China
² School of Automation, Northwestern Polytechnical University, Xi’an 710072, China

Received: 28 October 2023

Abstract

Temperature regulation stand and hydrogen consumption as pivotal benchmarks in the assessment of fuel cell vehicle performance. To enhance the thermal control efficiency and fuel economy of high-power fuel cell power systems, this study formulates a model for a high-power hydrogen fuel cell power system. It meticulously scrutinizes the energy consumption of auxiliary components, notably cooling systems, and devises a power allocation strategy founded on fuzzy logic control, ensuring precise temperature control. Introducing a collaborative optimization control approach for heat and power, aimed at minimizing overall hydrogen consumption, constitutes a central aspect of this paper. Leveraging the parameters of a 115 kW fuel cell truck, the study conducts simulation analysis of control and optimization strategies utilizing the Matlab/Simulink platform. Results underscore the superiority of the collaborative optimization control strategy, demonstrating noteworthy 8.04% and 9.9% reduction in equivalent hydrogen consumption per 100 kilometers compared to the power following control strategy. These findings affirm the efficacy of the proposed strategy in optimizing energy consumption.

摘要

燃料电池汽车动力系统温度与氢气消耗量均为评价其性能的重要指标, 为提升大功率燃料电池动力系统热量控制效率和燃料经济性, 通过构建大功率氢燃料电池动力系统模型, 分析冷却系统等辅助部件能耗, 在保证温度控制的基础上设计基于模糊逻辑控制的功率分配策略, 提出以总氢耗最小为目标的热量与功率协同优化控制方法。结合115 kW燃料电池卡车整车参数, 在Matlab/Simulink平台下进行控制策略及其优化策略的仿真分析, 研究结果表明, 相较于功率跟随控制策略, 采用协同优化控制策略的百公里等效氢耗分别降低了8.04%和9.9%, 证实了该策略在节能优化方面的有效性。