Hydrogen Consumption Minimization for Fuel Cell Trains Based on Speed Trajectory Optimization

Zheng Huang, Chaoxian Wu, Shaofeng Lu*, Fei Xue

*Corresponding author for this work

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review

3 Citations (Scopus)

Abstract

To make rail transport much greener, the fuel cell system has been applied in some train vehicles. The paper is aimed at establishing an integrated mixed-integer linear programming (MILP) model to optimize operations of the trains with the fuel cell system. Train motion analysis and physical constraints setup are given to illustrate the model. The main power-efficiency characteristic of the fuel cell system is also modeled in the research. The optimal train speed trajectory is obtained by applying the proposed approach, where the hydrogen consumption of the fuel cell is minimized. To prove the robustness of the model, the power profiles of scenarios with normal and extreme power-efficiency characteristics are compared, and the results show influences of these characteristics on the train operations.

Original languageEnglish
Title of host publicationProceedings of the 4th International Conference on Electrical and Information Technologies for Rail Transportation, EITRT 2019 - Novel Traction Drive Technologies of Rail Transportation
EditorsLimin Jia, Yong Qin, Baoming Liu, Zhigang Liu, Lijun Diao, Min An
PublisherSpringer
Pages335-345
Number of pages11
ISBN (Print)9789811528613
DOIs
Publication statusPublished - 2020
Event4th International Conference on Electrical and Information Technologies for Rail Transportation, EITRT 2019 - Qingdao, China
Duration: 25 Oct 201927 Oct 2019

Publication series

NameLecture Notes in Electrical Engineering
Volume638
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

Conference4th International Conference on Electrical and Information Technologies for Rail Transportation, EITRT 2019
Country/TerritoryChina
CityQingdao
Period25/10/1927/10/19

Keywords

  • Fuel cell
  • Hydrogen consumption minimization
  • Power-efficiency characteristic
  • Train speed trajectory optimization

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