Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/11455
DC FieldValueLanguage
dc.contributorDepartment of Electrical Engineering-
dc.creatorWang, X-
dc.creatorCheng, KWE-
dc.creatorLiao, X-
dc.creatorCheung, NC-
dc.creatorDong, L-
dc.date.accessioned2015-09-30T09:43:30Z-
dc.date.available2015-09-30T09:43:30Z-
dc.identifier.isbn978-1-4244-0645-6-
dc.identifier.isbn978-1-4244-0645-6 (E-ISBN)-
dc.identifier.urihttp://hdl.handle.net/10397/11455-
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.subjectABSen_US
dc.subjectAntilock braking systemen_US
dc.subjectElectrcial vehicleen_US
dc.titleFuzzy logic controller for electric vehicle braking strategyen_US
dc.typeConference Paperen_US
dc.identifier.spage1542-
dc.identifier.epage1547-
dc.identifier.doi10.1109/PEDS.2007.4487912-
dcterms.abstractIn 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.-
dcterms.bibliographicCitation7th International Conference on Power Electronics and Drive Systems, 2007 : PEDS '07, 27-30 November 2007, Bangkok, p. 1542-1547-
dcterms.issued2007-
dc.relation.ispartofbook7th International Conference on Power Electronics and Drive Systems, 2007 : PEDS '07, 27-30 November 2007, Bangkok-
dc.relation.conferenceInternational Conference on Power Electronics and Drive Systems [PEDS]-
dc.identifier.rosgroupidr38821-
dc.description.ros2007-2008 > Academic research: refereed > Refereed conference paper-
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