基于最优功耗的燃料电池/超级电容混合动力系统能量管理方法研究
梁汝军1陈志1綦芳1燕雨2
Research on Energy Management Method of Fuel Cell and Supercapacitor Hybrid Power System Based on Optimal Power Consumption
LIANG Rujun1CHEN Zhi1QI Fang1YAN Yu2
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作者信息:1.中车南京浦镇车辆有限公司， 210031， 南京
2.郑州大学电气与信息工程学院， 450001， 郑州
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Affiliation:1.CRRC Nanjing Puzhen Co., Ltd., 210031, Nanjing
2.School of Electrical and Information Engineering, Zhengzhou University, 450001, Zhengzhou, China
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关键词:
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Key words:
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DOI:10.16037/j.1007-869x.2024.05.006
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中图分类号/CLCN:TM911-4
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栏目/Col:研究报告
摘要:
［目的］随着科技发展与我国“双碳”进程的稳步推进，氢能在城市交通中的应用也日益增加；为降低数轨电车用燃料电池/超级电容混合动力系统整体能耗，提出了一种基于最优功耗的能量管理方法。［方法］以数轨电车在不同运行状态下的功耗分布为基础，通过拟合近似的方式，并结合燃料电池系统与超级电容系统的功耗模型，联合构建了混合动力系统的瞬时功耗函数；通过对功耗函数的寻优与求解，得到燃料电池系统的最佳输出功率；基于半实物仿真平台及数轨电车的实际运行数据，验证了所提方法的在线控制能力。［结果及结论］燃料电池系统在所提方法的控制下，在复杂工况下保持了较为稳定的输出功率，且平均电氢转化效率达54.84%，这能够有效降低数轨电车的运维成本。
Abstracts:
［Objective］ With the steady advancement of technology and China′s dual carbon process, the application of hydrogen energy in urban transportation is increasing. To reduce the overall energy consumption of fuel cell/supercapacitor hybrid power system for virtual-rail trams, an energy management method based on optimal power consumption is proposed. ［Method］ Based on the power distribution of virtual-rail trams in different operating states, an instantaneous power consumption function for the hybrid power system is jointly constructed by fitting approximation and combining the power consumption models of fuel cell systems and supercapacitor systems. By optimizing and solving the power consumption function, the optimal output power of the fuel cell system is obtained. The online control capability of the proposed method is verified using a semi-physical simulation platform and actual operational data of the virtual-rail tram. ［Result & Conclusion］ Experimental results show that under the control of the proposed method, the fuel cell system maintains a stable output power under complex conditions, with an average electricity-to-hydrogen conversion efficiency of 54.84%. This can effectively reduce the operation and maintenance costs of virtual-rail trams.
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