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Volume 54 Issue 5
Oct.  2019
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Article Contents
Journal of Southwest Jiaotong University  > 2019  >  54(5): 1079-1086.
LI Qi, MENG Xiang, CHEN Weirong, ZHANG Guorui. Parameter Matching and Multi-objective Optimization of Fuel Cell Hybrid System[J]. Journal of Southwest Jiaotong University, 2019, 54(5): 1079-1086. doi: 10.3969/j.issn.0258-2724.20170117
Citation: LI Qi, MENG Xiang, CHEN Weirong, ZHANG Guorui. Parameter Matching and Multi-objective Optimization of Fuel Cell Hybrid System[J]. Journal of Southwest Jiaotong University, 2019, 54(5): 1079-1086. doi: 10.3969/j.issn.0258-2724.20170117
shu

Parameter Matching and Multi-objective Optimization of Fuel Cell Hybrid System

doi: 10.3969/j.issn.0258-2724.20170117
  • Received Date: 22 Feb 2017
  • Rev Recd Date: 21 Apr 2018
    • Available Online: 11 Jul 2018
  • Publish Date: 01 Oct 2019
    Abstract
  • With the requirements of tram dynamic performance fulfilled, the weight and volume of the fuel cell hybrid system are optimized by the parameter matching method. Firstly, the vehicle dynamic model is built, and three peak powers are obtained, which corresponds three operational modes of trams including startup acceleration, climbing with uniform speeds and maximum speed operation. Secondly, based on the traditional method, the maximum peak power is set as an objective, and the supercapacitor-battery propotion is analyzed. Then, based on the traditional method, the improved particle swarm optimization (IPSO) is used to calculate the multi-objective optimal parameters in terms of the weight and volume of the system. Finally, the traditional method and multi-objective optimization method are compared and analyzed. The results show that both methods can meet the tram power demand. According to the multi-objective optimization method, the fuel cell hybrid tram is configured with two sets of 150 kW fuel cells, 124 supercapacitors (48 V, 165 F) and 337 power batteries (3.7 V, 9 A•h) . The tram can accelerate up to 70 km/h in 32.24 s, the maximum climbing capacity is 85.5‰, and the continuous climbing ability is 732.5 m. Compared with the traditional method, the optimization rate of its weight and volume reaches to 83.075% and 86.696% respectively.

     

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