Loss analysis of hybrid battery-supercapacitor energy storage system in EVs

X. D. Xue, S. Raghu Raman, Y. C. Fong, K. W.E. Cheng

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

4 Citations (Scopus)

Abstract

In this study, the losses of the hybrid energy storage system (HESS) including super-capacitor (SC) and battery in an electric vehicle (EV) are analyzed. Based on the presented vehicular system structure, the simulation model is proposed. With the controllable super-capacitor current, the operation of an EV with the hybrid battery-supercapacitor energy storage system is simulated under the European urban driving schedule ECE-15 and the losses of the hybrid energy system are computed and analyzed. The simulated results demonstrate that the super-capacitor current can be optimized under various operating conditions to minimize the losses of the hybrid battery-supercapacitor energy storage system in the EV. Thus, this study provides the valuable approach to maximize the operating efficiency of the hybrid battery-supercapacitor energy storage system in EVs.

Original languageEnglish
Title of host publication2017 7th International Conference on Power Electronics Systems and Applications - Smart Mobility, Power Transfer and Security, PESA 2017
EditorsK.W. Eric Cheng
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-6
Number of pages6
ISBN (Electronic)9781538613863
DOIs
Publication statusPublished - 31 Jan 2018
Event7th International Conference on Power Electronics Systems and Applications - Smart Mobility, Power Transfer and Security, PESA 2017 - Hong Kong, Hong Kong
Duration: 12 Dec 201714 Dec 2017

Publication series

Name2017 7th International Conference on Power Electronics Systems and Applications - Smart Mobility, Power Transfer and Security, PESA 2017
Volume2018-January

Conference

Conference7th International Conference on Power Electronics Systems and Applications - Smart Mobility, Power Transfer and Security, PESA 2017
Country/TerritoryHong Kong
CityHong Kong
Period12/12/1714/12/17

Keywords

  • Battery
  • efficiency
  • electric vehicles (EV)
  • hybrid energy storage system (HESS)
  • losses
  • super-capacitor

ASJC Scopus subject areas

  • Artificial Intelligence
  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering
  • Safety, Risk, Reliability and Quality

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