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Volume 55 Issue 3
Jun.  2020
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Article Contents
Journal of Southwest Jiaotong University  > 2020  >  55(3): 604-611.
FU Wenchao, QI Hongfeng, DAI Chaohua, LI Mi, LIU Zhengjie, CHEN Weirong. Multi-objective Matching Optimization for Hybrid Fuel-Cell Power System in Trams[J]. Journal of Southwest Jiaotong University, 2020, 55(3): 604-611. doi: 10.3969/j.issn.0258-2724.20180370
Citation: FU Wenchao, QI Hongfeng, DAI Chaohua, LI Mi, LIU Zhengjie, CHEN Weirong. Multi-objective Matching Optimization for Hybrid Fuel-Cell Power System in Trams[J]. Journal of Southwest Jiaotong University, 2020, 55(3): 604-611. doi: 10.3969/j.issn.0258-2724.20180370
shu

Multi-objective Matching Optimization for Hybrid Fuel-Cell Power System in Trams

doi: 10.3969/j.issn.0258-2724.20180370
  • Received Date: 22 May 2018
  • Rev Recd Date: 26 Nov 2019
    • Available Online: 09 Mar 2020
  • Publish Date: 01 Jun 2020
    Abstract
  • The hybrid power system configuration in fuel-cell trams greatly affects the vehicle dynamic performance, system efficiency and economic benefit. However, there is a lack of effective configuration optimization methods. To meet the objective of minimizing the cost in a vehicle service cycle, an optimal configuration method for fuel-cell hybrid power system is proposed on the basis of the traction power calculation in the dynamic conditions of trams. The multi-objective and multi-constraint optimization model of the fuel-cell hybrid power system is established with the minimum volume/weight and the minimum vehicle service cycle cost. Meanwhile, the dynamic demand, bus voltage, power source output, real time electric power balance, rates and depths of charge and discharge, and SOC (state of charge) of energy storage system are all taken into consideration. A Pareto front is obtained by the proposed method, and the optimal solution with the minimum cost and the acceptable volume/weight is also recommended. Finally, the simulation results show that the optimal hybrid fuel-cell power system configured by the proposed method can meet the design requirements, and the service cycle cost of the hybrid power system is reduced from 70 million yuan to 15 million yuan.

     

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