Research on eco-driving strategies for supercapacitor trams

ZHANG Huazhi; FU Chengcheng; XIAO Zhuang; WANG Qingyuan; FENG Xiaoyun; HE Bin

doi:10.13890/j.issn.1000-128X.2022.05.106

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Research on eco-driving strategies for supercapacitor trams

Electric Traction and Control | 更新时间：2024-08-02

- Research on eco-driving strategies for supercapacitor trams
- Electric drive for locomotives Issue 5, Pages: 123-128(2022)
- 作者机构：
  
  1.中铁第四勘察设计院集团有限公司，湖北武汉　430063
  2.西南交通大学电气工程学院，四川成都;611756
- 作者简介：
- 基金信息：
- DOI：10.13890/j.issn.1000-128X.2022.05.106
  CLC： U482.1
- Published：10 September 2022，
  
  Received：05 August 2021，
  
  Revised：06 September 2021，
- 稿件说明：
扫描看全文
ZHANG Huazhi, FU Chengcheng, XIAO Zhuang, et al. Research on eco-driving strategies for supercapacitor trams. [J]. Electric drive for locomotives (5):123-128(2022)
DOI：

ZHANG Huazhi, FU Chengcheng, XIAO Zhuang, et al. Research on eco-driving strategies for supercapacitor trams. [J]. Electric drive for locomotives (5):123-128(2022) DOI： 10.13890/j.issn.1000-128X.2022.05.106.

摘要

针对超级电容有轨电车节能驾驶问题，系统性考虑车辆牵引/制动特性、区间运行时间约束、线路坡度值变化、超级电容充放电能力等条件，提出一种基于极大值原理的最优操纵规则的改进动态规划算法。文章介绍了有轨电车运行系统模型，构建节能驾驶优化问题；基于极大值原理分析总结超级电容有轨电车节能驾驶工况集，结合动态规划思路构建速度轨迹状态空间；采用二分法迭代求解满足准点时间约束的节能驾驶速度曲线。仿真结果表明，改进动态规划算法比常规动态规划算法有更好的求解效率和求解质量，同时超级电容有轨电车的高再生制动利用率会提高电制动工况的使用时机，压缩惰行工况的使用时机。

Abstract

Focusing on the eco-driving for supercapacitor trams

considering traction/braking characteristics

trip operation time constraint

variable value of slope and power constraints of supercapacitor

a modified dynamic programming method was proposed with consideration the optimal manipulation derived from the maximum principle. Firstly

the system model was introduced

and an optimization problem was constructed. Then

eco-driving regimes of supercapacitor trams were analyzed based on the maximum principle. The state space of velocity trajectory was constructed integrating dynamic programming. Finally

the bi-section method was utilized to find optimized eco-driving speed profiles to satisfied the trip time constraint. Simulation results show that the better solve efficiency and quality can be obtained by the modified dynamic programming compared to the traditional dynamic programming. The high utilization rate of regenerative braking for supercapacitor trams increases the usage of electric braking condition and shrinks the usage of coast condition.

关键词

城市轨道交通节能优化再生制动超级电容有轨电车改进动态规划仿真

Keywords

urban rail transitenergy saving optimizationregenerative brakingsupercapacitor tramadaptive dynamic programmingsimulation

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