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基于动态混合度的储能式有轨电车能量管理策略

陈维荣 时方力 戴朝华 安祺 刘禺贝 刘洋

陈维荣, 时方力, 戴朝华, 安祺, 刘禺贝, 刘洋. 基于动态混合度的储能式有轨电车能量管理策略[J]. 西南交通大学学报, 2020, 55(2): 409-416. doi: 10.3969/j.issn.0258-2724.20181071
引用本文: 陈维荣, 时方力, 戴朝华, 安祺, 刘禺贝, 刘洋. 基于动态混合度的储能式有轨电车能量管理策略[J]. 西南交通大学学报, 2020, 55(2): 409-416. doi: 10.3969/j.issn.0258-2724.20181071
CHEN Weirong, SHI Fangli, DAI Chaohua, AN Qi, LIU Yubei, LIU Yang. Energy Management Strategy of Hybrid Tram Based on Dynamic Degree of Hybrid[J]. Journal of Southwest Jiaotong University, 2020, 55(2): 409-416. doi: 10.3969/j.issn.0258-2724.20181071
Citation: CHEN Weirong, SHI Fangli, DAI Chaohua, AN Qi, LIU Yubei, LIU Yang. Energy Management Strategy of Hybrid Tram Based on Dynamic Degree of Hybrid[J]. Journal of Southwest Jiaotong University, 2020, 55(2): 409-416. doi: 10.3969/j.issn.0258-2724.20181071

基于动态混合度的储能式有轨电车能量管理策略

doi: 10.3969/j.issn.0258-2724.20181071
基金项目: 国家重点研发计划(2017YFB1201004,2017YFB1201005)
详细信息
    作者简介:

    陈维荣(1965—),男,教授,博士生导师,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

  • 中图分类号: V221.3

Energy Management Strategy of Hybrid Tram Based on Dynamic Degree of Hybrid

  • 摘要: 为了提高混合储能式有轨电车的系统效率和运行经济性,基于动态混合度和系统效率之间的关系,提出了基于动态混合度在线凸规划的混合储能式有轨电车能量管理策略. 首先基于混合储能式有轨电车各系统参数,对各部件进行建模;其次采用在线凸规划法求解,得到了系统每一时刻的最优动态混合度;最后以有轨电车的典型工况为例,在RT-LAB实时仿真平台研究动态混合度对系统效率的影响. 研究结果表明动态混合度同系统效率之间存在凸函数关系:在相同参数条件下,基于动态混合度的在线凸规划能量管理策略较传统的功率跟随式能量管理策略系统瞬时效率最高提升9.6%;当完成整条线路运行,可节省电量2 886.2 kJ,运行经济性提升3.29%.

     

  • 图 1  混合储能式有轨电车拓扑结构

    Figure 1.  Topology of hybrid energy storage tram

    图 2  锂电池等效模型

    Figure 2.  Thevenin model of lithium-ion battery

    图 3  超级电容经典RC等效模型

    Figure 3.  RC equivalent model of super-capacitor

    图 4  单向DCDC拓扑

    Figure 4.  Unidirectional DC/DC topology

    图 5  双向DC/DC拓扑

    Figure 5.  Bidirectional DC/DC topology

    图 6  DC/DC输出功率与效率曲线

    Figure 6.  DC/DC output power and efficiency curve

    图 7  不同状态参数下动态混合度和系统瞬时效率

    Figure 7.  DDOH and system instantaneous efficiency under different state parameters

    图 8  负载需求功率和动力源输出功率

    Figure 8.  Load demand power and power source output power

    图 9  锂电池和超级电容SOC变化

    Figure 9.  battery and supercapacitor SOC change

    图 10  优化结果比较

    Figure 10.  Comparison of optimization results

    表  1  混合储能式有轨电车主要参数

    Table  1.   Parameters of hybrid energy storage tram

    参数取值
    应用环境温度/℃ −25~42
    母线电压/V 750
    车辆编组 Mc-T-Mc
    轴重/t 10.5
    最高运行速度/(km•h−1 70
    最大坡度/‰ 5
    列车长度/m 30.19
    列车宽度/m 2.65
    列车自重/t 51.06
    列车载员/人 267
    加速度/(m•s−2 1.2
    续驶里程/km 30
    下载: 导出CSV

    表  2  锂电池仿真参数

    Table  2.   Lithium-ion battery simulation parameters

    参数取值
    额定电压/V3.7
    额定容量/(A•h)10
    串联数目/个135
    并联数目/个15
    初始SOC0.85
    下载: 导出CSV

    表  3  超级电容仿真参数

    Table  3.   Supercapacitor simulation parameters

    参数取值
    额定电压/V2.7
    额定电容量/F7 500
    串联数目/个222
    并联数目/个15
    初始SOC0.85
    下载: 导出CSV
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出版历程
  • 收稿日期:  2018-12-19
  • 修回日期:  2019-03-29
  • 网络出版日期:  2019-04-18
  • 刊出日期:  2020-04-01

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