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基于动态规划的混合动力有轨电车能量管理方法

陈维荣 胡斌彬 李奇 燕雨 孟翔

陈维荣, 胡斌彬, 李奇, 燕雨, 孟翔. 基于动态规划的混合动力有轨电车能量管理方法[J]. 西南交通大学学报, 2020, 55(5): 903-911. doi: 10.3969/j.issn.0258-2724.20180470
引用本文: 陈维荣, 胡斌彬, 李奇, 燕雨, 孟翔. 基于动态规划的混合动力有轨电车能量管理方法[J]. 西南交通大学学报, 2020, 55(5): 903-911. doi: 10.3969/j.issn.0258-2724.20180470
CHEN Weirong, HU Binbin, LI Qi, YAN Yu, MENG Xiang. Energy Management Method for Hybrid Electric Tram Based on Dynamic Programming Algorithm[J]. Journal of Southwest Jiaotong University, 2020, 55(5): 903-911. doi: 10.3969/j.issn.0258-2724.20180470
Citation: CHEN Weirong, HU Binbin, LI Qi, YAN Yu, MENG Xiang. Energy Management Method for Hybrid Electric Tram Based on Dynamic Programming Algorithm[J]. Journal of Southwest Jiaotong University, 2020, 55(5): 903-911. doi: 10.3969/j.issn.0258-2724.20180470

基于动态规划的混合动力有轨电车能量管理方法

doi: 10.3969/j.issn.0258-2724.20180470
基金项目: 国家自然科学基金(51977181);四川省科技计划项目(19YYJC0698);霍英东教育基金会高等院校青年教师基金(171104)
详细信息
    作者简介:

    陈维荣(1965—),男,教授,研究方向为电力系统及其自动化、工业监控技术、新能源技术及其应用,E-mail:wrchen@home.swjtu.edu.cn

Energy Management Method for Hybrid Electric Tram Based on Dynamic Programming Algorithm

  • 摘要: 针对传统动态规划算法在燃料电池混合动力系统能量分配中存在的误差累积问题,以及为进一步提高燃料电池混合动力有轨电车的耐久性和燃料经济性,提出了一种基于改进动态规划算法的燃料电池混合动力有轨电车能量管理方法;改进动态规划算法在传统动态规划的基础上调整了状态转移方程,通过只对系统状态量进行离散从而避免计算过程中的插值计算导致的误差累积;同时将系统等效氢耗、动力电池充电状态(SOC)约束和燃料电池加、减载带来的耐久性问题作为优化目标构成加权惩罚函数,使系统在获得良好燃料经济性的同时兼顾耐久性;将所提管理方法与功率跟随和传统动态规划进行对比分析. 研究结果表明:所提方法相较于功率跟随方法,使末态SOC值降低了13.3%,燃料经济性提高了78%;相较于基于传统动态规划算法的能量管理方法,使燃料经济性提高了3.5%,且SOC变化范围和燃料电池变载情况均具有显著改善.

     

  • 图 1  有轨电车动力系统拓扑结构

    Figure 1.  Topological structure of tram powertrain

    图 2  燃料电池效率-功率曲线

    Figure 2.  Efficiency-power curves of fuel cell battery

    图 3  动力电池模型及其效率曲线

    Figure 3.  Battery model and efficiency curve

    图 4  S曲线

    Figure 4.  S Curve

    图 5  状态转移情况

    Figure 5.  Diagram of state transition

    图 6  改进动态规划算法流程

    Figure 6.  Flow chart of improved dynamic programming

    图 7  仿真结果

    Figure 7.  Simulation results

    表  1  混合动力有轨电车主要参数

    Table  1.   Main parameters of the hybrid electric tram

    参数取值
    母线电压/V750
    车辆编组Mc-T-Mc
    轴重/t10.5
    最高运行速度/(km•h−170
    最大坡度5‰
    列车长度/m30.19
    列车宽度/m2.65
    列车自重/t51.06
    续驶里程/km30
    下载: 导出CSV

    表  2  燃料电池模块参数

    Table  2.   Module parameters of fuel cell

    参数取值
    总功率/kW150
    工作电压/V465~730
    最大电流/A300
    燃料氢气
    氧化剂空气
    额定空气流量/(L•min−1)3 653
    额定空气压力/kPa206
    工作温度/K330
    重量/kg404
    下载: 导出CSV

    表  3  动力电池模块参数

    Table  3.   Module parameters of battery

    参数取值
    额定电压/V 3.7
    额定容量/(A•h) 10
    内阻/Ω 1.5
    放电截止电压/V 2
    最大充电电压/V 4.1
    最大放电电流/(A•h) 120
    充电方式 CC/CA
    循环寿命/次 10 000
    重量/kg 0.3
    下载: 导出CSV

    表  4  性能指标对比

    Table  4.   Comparison of performance index

    性能指标氢耗量/gSOC
    开始值结束值最大偏移
    功率跟随
    策略
    139.5 0.600 0 0.680 5 0.083 5
    传统 DP 81.1 0.600 0 0.600 4 0.026 0
    I-DP 78.3 0.600 0 0.600 4 0.013 2
    下载: 导出CSV
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出版历程
  • 收稿日期:  2018-06-07
  • 修回日期:  2018-10-10
  • 网络出版日期:  2018-10-15
  • 刊出日期:  2020-10-01

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