Fuzzy logic controller for electric vehicle braking strategy

Xixi Wang, Ka Wai Eric Cheng, Xiaozhong Liao, Chow Norbert Cheung, Lei Dong

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

8 Citations (Scopus)

Abstract

In this paper, the braking strategy is developed for electric vehicle which includes regenerative braking and anti-lock brake system (ABS). Induction motor is used in EV to regenerate kinetic energy. This paper describes the preliminary research and implementation of a fuzzy logic controller to control wheel slip for ABS. The controller is used to enhance the vehicle stability and safety under highly nonlinear and time variant braking conditions. Simulation was used to derive a rule base. The robustness of the fuzzy-logic slip regulator is further tested by applying the resulting controller over a wide range controller over a wide range of operating conditions.
Original languageEnglish
Title of host publication7th International Conference on Power Electronics and Drive Systems, PEDS 2007
Pages1542-1547
Number of pages6
DOIs
Publication statusPublished - 1 Dec 2007
Event7th International Conference on Power Electronics and Drive Systems, PEDS 2007 - Bangkok, Thailand
Duration: 27 Nov 200730 Nov 2007

Conference

Conference7th International Conference on Power Electronics and Drive Systems, PEDS 2007
CountryThailand
CityBangkok
Period27/11/0730/11/07

Keywords

  • ABS
  • Antilock braking system
  • Electrcial vehicle

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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