Energy management optimization for an extended range electric vehicle

A. A. Abdelgadir, J. Y. Alsawalhi

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

13 Scopus citations

Abstract

This paper describes an energy management strategy for a light-weight electric vehicle equipped with a hybrid energy storage system. A population based optimization algorithm was used to solve a single objective constrained optimization problem, where the energy consumed by the battery was to be minimized for a given drive cycle in order to extend the range of the vehicle. Obtained results show the effectiveness of the proposed energy management strategy at minimizing the energy consumed while maintaining the imposed constraints.

Original languageBritish English
Title of host publication2017 7th International Conference on Modeling, Simulation, and Applied Optimization, ICMSAO 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509054541
DOIs
StatePublished - 26 May 2017
Event7th International Conference on Modeling, Simulation, and Applied Optimization, ICMSAO 2017 - Sharjah, United Arab Emirates
Duration: 4 Apr 20176 Apr 2017

Publication series

Name2017 7th International Conference on Modeling, Simulation, and Applied Optimization, ICMSAO 2017

Conference

Conference7th International Conference on Modeling, Simulation, and Applied Optimization, ICMSAO 2017
Country/TerritoryUnited Arab Emirates
CitySharjah
Period4/04/176/04/17

Keywords

  • Energy management
  • Extended range electric vehicle
  • Hybrid energy storage system

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