An optimal solar-thermoelectric hybrid energy system for hybrid electric vehicles

Xiaodong Zhang, K. T. Chau, Chuang Yu, C. C. Chan

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

12 Citations (Scopus)

Abstract

In the development of hybrid electric vehicles (HEVs), more and more researches are concentrated on the renewable energy sources. Due to the limitation of the previous maximum power point tracking algorithm (MPPT), these renewable energy systems are controlled separately. In this paper, an optimal solar-thermoelectric hybrid energy system for HEVs is proposed with MPPT. This method can track the global maximum power point of the hybrid system with minimum hardware cost. The key is to use the modeling approach to estimate the maximum power point, and then apply the perturb-and-observe method to search the actual maximum power point. The results verify that the proposed hybrid system can work effectively under different conditions, and is promising for application to HEVs.

Original languageEnglish
Title of host publication2008 IEEE Vehicle Power and Propulsion Conference, VPPC 2008
DOIs
Publication statusPublished - 2008
Externally publishedYes
Event2008 IEEE Vehicle Power and Propulsion Conference, VPPC 2008 - Harbin, China
Duration: 3 Sept 20085 Sept 2008

Publication series

Name2008 IEEE Vehicle Power and Propulsion Conference, VPPC 2008

Conference

Conference2008 IEEE Vehicle Power and Propulsion Conference, VPPC 2008
Country/TerritoryChina
CityHarbin
Period3/09/085/09/08

Keywords

  • Hybrid electric vehicle
  • Hybrid energy system
  • Maximum power point tracking

ASJC Scopus subject areas

  • Automotive Engineering

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