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International Journal of Power and Energy Research
IJPER > Volume 4, Number 3, October 2020

Research on Energy Recovery Method of Virtual Track Train Based on Working Conditions Segmentation Strategy

Download PDF  (586.3 KB)PP. 34-44,  Pub. Date:November 27, 2020
DOI: 10.22606/ijper.2020.43002

Author(s)
CUI Hongming, PENG Anjin, SONG Pengyun, SUN Mengmeng
Affiliation(s)
College of Electronic Information, Southwest Minzu University, Chengdu 610225, China
College of Continuing Education & Cadre Training Center, Southwest Minzu University, Chengdu 610225, China
College of Electrical Engineering, Southwest Minzu University, Chengdu 610225, China
College of Electronic Information, Southwest Minzu University, Chengdu 610225, China
Abstract
In order to improve the efficiency of energy recovery of hybrid virtual track train, an energy management method based on the strategy of working condition segmentation is proposed under the condition of known line information. This method adjusts the power allocation of power battery and supercapacitor in different power modes of virtual track train. Based on the environment of MATLAB/Simulink, a simulation system for energy recovery of virtual track train is developed. Then this paper carries on the simulation analysis. The simulation results show that the proposed energy management method can achieve more efficient energy recovery under the condition of meeting the train power demand. After optimization, the power output of the train's power battery is reduced by 9.9%, and the recovery rate of the train's braking energy is increased by 9.3%.
Keywords
virtual track train, supercapacitor, energy recovery, energy management
References
  • [1]  1. Chen Yanqiu, ZHANG Jiye, SONG Pengyun, et al, “Research on operation control of hybrid electric train” Journal of the China Track Society, 2013, 35(8):22-28.
  • [2]  2. YANG Jibin, ZHANG Jiye, SONG Pengyun, et al, “Control strategy of hybrid train power system” Journal of Southwest Jiaotong University, 2015, 50(1):20-26.
  • [3]  3. García P, Fernández L M, García C A, et al. Fuel cell-battery hybrid system integrating two DC/DC converters for transport applications[C]// International Conference on Power Electronics and Drive Systems. Taipei: IEEE, 2009:139-143.
  • [4]  4. Herrera V I, Gaztanaga H, Milo A,et al. Optimal operation mode control and sizing of a battery-supercapacitor based tramway[C]// Vehicle Power and Propulsion Conference (VPPC). Montreal Q.C.:IEEE,2015:1-6.
  • [5]  5. WU Jie, WANG Qingyuan, DU Xin, et al, “Control strategy of hybrid train power system” Computer Simulation, 2016, 33(1):161-165.
  • [6]  6. SUN Mengmeng, YANG Jibin, PENG Anjin,, et al, “Research on Energy Management Strategy of Hybrid Tramway Based on Double Fuzzy Logic Control” International Journal of Power and Energy Research, 2019, 3(2)
  • [7]  7. Chen Lidan, Ou Yanghuilin, “A fuzzy logic control strategy for ev charging and discharging considering vehicle emergency”, Electric Power Automation Equipment, 2020, 40(05):62-74.
  • [8]  8. Han Zhang, et al. "Optimal energy management of a fuel cell-battery-supercapacitor-powered hybrid tramway using a multi-objective approach." Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit 234.5(2020)
  • [9]  9. LI Qi, HUANG Wenqiang, SHANG Weilin, et al, “Fuel Cell Hybrid Tram Braking Energy Recovery Method Based on PMP Energy Management Strategy and Working Condition Piecewise Strategy” Journal of Southwest Jiaotong University, 1-9[2020-10-20].
  • [10]  10. YANG Jibin, XU Xiaohui, ZHANG Jiye, et al, “Multi-objective Optimization of Energy Management Strategy for Fuel Cell Tram” Journal of Mechanical Engineering, 2018,54(22):153-159.
  • [11]  11. HAN Peng, “Research On the Control Strategy of Self-guided Tramcar Based On Virtual Track”.2017. Southwest Jiaotong University, PhD dissertation.
  • [12]  12. YANG Jibin, “Research On Energy Management of Multi-energy Hybrid Electric Tram” Journal of Mechanical Engineering, 2018, Southwest Jiaotong University, PhD dissertation.
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