Chengshi guidao jiaotong yanjiu (May 2024)

Research on Energy Management Method of Fuel Cell and Supercapacitor Hybrid Power System Based on Optimal Power Consumption

  • LIANG Rujun,
  • CHEN Zhi,
  • QI Fang,
  • YAN Yu

DOI
https://doi.org/10.16037/j.1007-869x.2024.05.006
Journal volume & issue
Vol. 27, no. 5
pp. 25 – 29

Abstract

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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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