Parameter matching and energy management of multi hydrogen powersystem for rail transit vehicles
[1]YAN Yu,YANG Ruiqiong,BU Qingyuan,et al.Parameter matching and energy management of multi hydrogen powersystem for rail transit vehicles[J].Journal of Zhengzhou University (Engineering Science),2027,48(XX):1-7.[doi:10. 13705 / j. issn. 1671-6833. 2026. 06. 002]
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Journal of Zhengzhou University (Engineering Science)[ISSN
1671-6833/CN
41-1339/T] Volume:
48
Number of periods:
2027 XX
Page number:
1-7
Column:
Public date:
2027-12-10
- Title:
- Parameter matching and energy management of multi hydrogen powersystem for rail transit vehicles
- Keywords:
- hydrogen internal-combustion engine; fuel cell; multi objective optimization; parameter matching; energy management
- CLC:
- TP391
- Abstract:
- This article focused on high-power rail transit locomotives and took the multi-dimensional hydrogen pow-ersystem composed of " hydrogen internal combustion engine+fuel cell+supercapacitor" as the research object tosolve the two core problems of parameter matching and energy management. In terms of parameter matching, thispaper proposed a configuration method that took into account mass, volume, and cycle costs based on a non domi-natedsorting genetic algorithm with an elite strategy, enabling the power system to achieve comprehensive optimiza-tionat multiple target levels. The parameter configuration results showed that the rated power of the hydrogen inter-nalcombustion engine and fuel battery were 134 kW and 120 kW, respectively, and the supercapacitor module was12 series and 6 parallel, with a rated capacity of 82. 5 F. In terms of energy management, this paper proposed ananalytical solution fusion calculation method based on the traditional equivalent hydrogen consumption algorithm,which could be applied to multiple hydrogen power systems to achieve real-time and reasonable power allocation be-tweenmultiple systems. Finally, based on the RT-LAB semi physical simulation platform, this article verified thematching results and energy management methods mentioned above. The 134 kW hydrogen internal combustion en-gine,120 kW fuel cell, and 82. 5 F supercapacitor all operate within their rated ranges, and an analytical solutionfusion energy management method was adopted on the basis of the configuration results, which could reasonably al-locatethe output power of each power source in real time, fully demonstrated the effectiveness of the method pro-posedin this article.
- References:
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Last Update:
2026-06-12
