| 燃料电池混合动力系统参数匹配与多目标优化 |
| |
| 引用本文： | 李奇,孟翔,陈维荣,张国瑞.燃料电池混合动力系统参数匹配与多目标优化[J].西南交通大学学报,2019,54(5):1079-1086. |
| |
| 作者姓名： | 李奇 孟翔 陈维荣 张国瑞 |
| |
| 基金项目： | 国家自然科学基金资助项目（61473238），国家重点研发计划资助项目（2017YFB1201003-019） |
| |
| 摘 要： | 在满足机车动力性能需求的条件下，运用参数匹配方法对燃料电池系统的重量、体积指标进行了优化. 首先，搭建了机车动力学模型，针对列车运行的加速启动、匀速爬坡、最大时速运行3种关键工况，分别得到3个需求功率峰值；其次，基于传统方法，以最大需求功率峰值为目标，分析了超级电容-动力电池配比；然后，在传统方法基础上，采用改进粒子群算法（improved particle swarm optimization，IPSO），进行了基于系统重量和体积的多目标优化参数匹配计算，得到了最优解；最后，对传统方法和多目标优化方法进行了对比分析. 研究结果表明:两种方法均能满足列车动力需求；采用多目标优化方法，为同型燃料电池混合动力有轨电车配置2套150 kW燃料电池，124个超级电容（48 V，165 F）和337个动力电池（3.7 V，9 A?h）. 车辆经32.24 s加速可达时速70 km/h，最大爬坡能力为85.5‰，持续爬坡能力为732.5 m；相比较传统方法，重量和体积优化率分别达到83.075%和86.696%.
|
| 关 键 词： | 燃料电池混合动力有轨电车 混合动力系统 参数匹配 多目标优化 改进粒子群算法 |
| 收稿时间： | 2017-02-22 |
Parameter Matching and Multi-objective Optimization of Fuel Cell Hybrid System |
| |
| 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. |
| |
| Authors: | LI Qi MENG Xiang CHEN Weirong ZHANG Guorui |
| |
| 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. |
| |
| Keywords: | |
| 本文献已被 CNKI 等数据库收录！ |
| 点击此处可从《西南交通大学学报》浏览原始摘要信息 |
|
点击此处可从《西南交通大学学报》下载全文 |
|
