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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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  • 侯明,衣宝廉. 燃料电池技术发展现状与展望[J]. 电化学,2011,18(1): 1-13.

    HOU Ming, YI Baolian. Progress and perspective of fuel cell technology[J]. Journal of Electrochemistry, 2011, 18(1): 1-13.
    陈维荣,钱清泉,李奇. 燃料电池混合动力列车的研究现状与发展趋势[J]. 西南交通大学学报,2009,44(1): 1-6. doi: 10.3969/j.issn.0258-2724.2009.01.001

    CHEN Weirong, QIAN Qingquan, LI Qi. Investigation status and development trend of hybrid power train based on fuel cell[J]. Journal of Southwest Jiaotong University, 2009, 44(1): 1-6. doi: 10.3969/j.issn.0258-2724.2009.01.001
    陈维荣,刘嘉蔚,郭爱,等. 14.4 kW PEMFC电堆单体电压均衡性实验研究[J]. 西南交通大学学报,2017,52(3): 429-438. doi: 10.3969/j.issn.0258-2724.2017.03.001

    CHEN Weirong, LIU Jiawei, GUO Ai, et al. Experimental study on voltage uniformity of 14.4 kW PEMFC stack single cell[J]. Journal of Southwest Jiaotong University, 2017, 52(3): 429-438. doi: 10.3969/j.issn.0258-2724.2017.03.001
    薛美根,杨立峰,程杰. 现代有轨电车主要特征与国内外发展研究[J]. 城市交通,2008,6(6): 87-91.

    XUE Meigen, YANG Lifeng, CHENG Jie. Modern trams:characteristics & development both at home and abroad[J]. Urban Transport of China, 2008, 6(6): 87-91.
    陈维荣,卜庆元,刘志祥,等. 燃料电池混合动力有轨电车动力系统设计[J]. 西南交通大学学报,2016,51(3): 430-436. doi: 10.3969/j.issn.0258-2724.2016.03.003

    CHEN Weirong, BU Qingyuan, LIU Zhixiang, et al. Power system design for a fuel cell hybrid power tram[J]. Journal of Southwest Jiaotong University, 2016, 51(3): 430-436. doi: 10.3969/j.issn.0258-2724.2016.03.003
    陈维荣,张国瑞,孟翔,等. 燃料电池混合动力有轨电车动力性分析与设计[J]. 西南交通大学学报,2017,52(1): 1-8. doi: 10.3969/j.issn.0258-2724.2017.01.001

    CHEN Weirong, ZHANG Guorui, MENG Xiang, et al. Dynamic performance analysis and design of fuel cell hybrid locomotive[J]. Journal of Southwest Jiaotong University, 2017, 52(1): 1-8. doi: 10.3969/j.issn.0258-2724.2017.01.001
    CHEN Weirong, PENG Fei, LIU Zhixiang, et al. System integration of China’s first PEMFC locomotive[J]. Journal of Modern Transportation, 2013, 21(3): 163-168. doi: 10.1007/s40534-013-0020-0
    中华人民共和国铁道部. 列车牵引计算规程: TB/T 1407—1998[S]. 北京: 中国标准出版社, 1998.
    郭斌,秦孔建,卢青春,等. 燃料电池混合动力系统构型和控制方法研究[J]. 科技汽车,2006(3): 10-13.

    GUO Bin, QIN Kongjian, LU Qingchun, et al. Study on configuration and control method of the hybrid power system of fuel cell[J]. Vehicle Technology, 2006(3): 10-13.
    曹秉刚,曹建波,李军伟,等. 超级电容在电动车中的应用研究[J]. 西安交通大学学报,2008,42(11): 1317-1322. doi: 10.3321/j.issn:0253-987X.2008.11.001

    CAO Binggang, CAO Jiangbo, LI Junwei, et al. Ultracapacitor with applications to electric vehicle[J]. Journal of Xi’an Jiaotong University, 2008, 42(11): 1317-1322. doi: 10.3321/j.issn:0253-987X.2008.11.001
    刘晓臣. 超级电容器工作原理及应用[J]. 电子产品可靠性,2012,30(1): 111-114.

    LIU Xiaochen. Principle and application of super capacitors[J]. Electronic Production Reliability and Environment Testing, 2012, 30(1): 111-114.
    宫学庚,齐铂金,刘有兵,等. 电动汽车动力电池模型和SOC估算策略[J]. 电源技术,2004,28(10): 633-636. doi: 10.3969/j.issn.1002-087X.2004.10.011

    GONG Xuegeng, QI Bojin, LIU Youbing, et al. Research on the model and estimated strategy of SOC for drain battery of electric vehicle[J]. Chinese Journal of Power Sources, 2004, 28(10): 633-636. doi: 10.3969/j.issn.1002-087X.2004.10.011
    蒋伊琳,张芳园. 基于自然选择粒子群的时钟同步算法[J]. 西南交通大学学报,2017,52(3): 593-599. doi: 10.3969/j.issn.0258-2724.2017.03.021

    JIANG Yilin, ZHANG Fangyuan. Clock synchronization algorithm based on natural selection particle swarm[J]. Journal of Southwest Jiaotong University, 2017, 52(3): 593-599. doi: 10.3969/j.issn.0258-2724.2017.03.021
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