Ripple correlation control applied to electric vehicle regenerative braking

Sanghun Choi, Ali M. Bazzi, Philip T Krein

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper introduces output power maximization of a regenerative braking system using ripple correlation control (RCC). The proposed RCC application thus leads to a reduction in the size of the battery pack in an electric vehicle. Results show that the proposed optimization can increase regenerated power by up to 20% compared to conventional regenerative braking systems. Time and frequency domain simulations in MATLAB/Simulink verify the feasibility of such an application and show promising results in energy savings.

Original languageEnglish (US)
Title of host publicationProceedings of the 2010 Power and Energy Conference at Illinois, PECI 2010
Pages88-92
Number of pages5
DOIs
StatePublished - May 18 2010
Event2010 Power and Energy Conference at Illinois, PECI 2010 - Urbana, IL, United States
Duration: Feb 12 2010Feb 13 2010

Publication series

NameProceedings of the 2010 Power and Energy Conference at Illinois, PECI 2010

Other

Other2010 Power and Energy Conference at Illinois, PECI 2010
Country/TerritoryUnited States
CityUrbana, IL
Period2/12/102/13/10

Keywords

  • Energy savings in electric vehicles
  • Induction generator optimization
  • Regenerative braking system
  • Ripple correlation control

ASJC Scopus subject areas

  • Energy Engineering and Power Technology

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