Hierarchical Energy Management of Fuel Cell Vehicles Through Signalized Intersections

Xiaodong Wei, Chao Sun*, Qiang Ren, Bo Liu, Qingyun Min, Weiwei Huo

*Corresponding author for this work

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

1 Citation (Scopus)

Abstract

In this paper, a hierarchical optimization method is proposed for energy management of fuel cell vehicles (FCVs) through signalized intersections. Taking the minimum cumulative demand power of the vehicle as the optimization objective, the vehicle dynamics model and traffic signal timing model are established. By combining Dynamic programming (DP) and Alternating Direction Method of Multipliers (ADMM), eco-driving problem and energy management problem are simultaneously resolved, which is able to realize considerable fuel reduction.

Original languageEnglish
Title of host publication2021 IEEE Vehicle Power and Propulsion Conference, VPPC 2021 - ProceedingS
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665405287
DOIs
Publication statusPublished - 2021
Event18th IEEE Vehicle Power and Propulsion Conference, VPPC 2021 - Virtual, Gijon, Spain
Duration: 25 Oct 202128 Oct 2021

Publication series

Name2021 IEEE Vehicle Power and Propulsion Conference, VPPC 2021 - ProceedingS

Conference

Conference18th IEEE Vehicle Power and Propulsion Conference, VPPC 2021
Country/TerritorySpain
CityVirtual, Gijon
Period25/10/2128/10/21

Keywords

  • Convex optimization
  • Eco-driving
  • Energy management
  • Fuel cell vehicles
  • Traffic signal

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