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Multi-Objective Optimization of Energy Management and Sizing for a Hybrid Bus with Dual Energy Storage System

  • IKERLAN
  • University of the Basque Country (UPV/EHU)
  • École supérieure des technologies industrielles avancées

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

18 Scopus citations

Abstract

In this paper an optimal energy management strategy (EMS) for a hybrid electric bus (HEB) with a dual energy storage systems (ESS) combining batteries (BT) and supercapacitors (SC) is presented. The scenario considers the hybrid operation (engine+ESS), as well as the full electric operation (only ESS). Optimal targets for the proposed EMS are obtained by an optimization process with a multi-objective genetic algorithm (GA). The fitness functions are expressed in economic terms, and the aim is to minimize the daily operating cost of the HEB taking into account the BT and SC degradation approach and the performance fulfillment during bus operation in the zero-emission zone (full electric).

Original languageEnglish
Title of host publication2016 IEEE Vehicle Power and Propulsion Conference, VPPC 2016 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509035281
DOIs
StatePublished - 19 Dec 2016
Externally publishedYes
Event13th IEEE Vehicle Power and Propulsion Conference, VPPC 2016 - Hangzhou, China
Duration: 17 Oct 201620 Oct 2016

Publication series

Name2016 IEEE Vehicle Power and Propulsion Conference, VPPC 2016 - Proceedings

Conference

Conference13th IEEE Vehicle Power and Propulsion Conference, VPPC 2016
Country/TerritoryChina
CityHangzhou
Period17/10/1620/10/16

Keywords

  • battery
  • energy management strategy
  • hybrid bus
  • hybrid energy storage system
  • supercapacitor

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