Isaac Scientific Publishing

International Journal of Power and Energy Research

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: October 30, 2020

DOI: 10.22606/ijper.2020.43002

Author(s)

  • CUI Hongming
    College of Electronic Information, Southwest Minzu University, Chengdu 610225, China
  • PENG Anjin
    College of Continuing Education & Cadre Training Center, Southwest Minzu University, Chengdu 610225, China
  • SONG Pengyun*
    College of Electrical Engineering, Southwest Minzu University, Chengdu 610225, China
  • SUN Mengmeng
    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

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