Control research for hybrid compound braking based on an uncertainty predictive model

Wei Liu, Hongwen He*, Hongqiang Guo, Fengchun Sun

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Citations (Scopus)

Abstract

For an EV with double driving motors, an uncertainty predictive model was proposed for the hybrid compound braking control system, which has the simple structural characteristics as the parallel system and the controlling advantages as the series system. The distribution coefficients of the braking force were optimized off-line by uncertainty analysis. Then the response surfaces of the distribution coefficients related to the vehicle state were established. The simulation results show that the required braking severity can be well tracked and high performance and reliability of braking stability and regenerative efficiency were obtained.

Original languageEnglish
Title of host publicationIEEE Transportation Electrification Conference and Expo, ITEC Asia-Pacific 2014 - Conference Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479942398
DOIs
Publication statusPublished - 30 Oct 2014
Event2014 IEEE Transportation Electrification Conference and Expo, ITEC Asia-Pacific 2014 - Beijing, China
Duration: 31 Aug 20143 Sept 2014

Publication series

NameIEEE Transportation Electrification Conference and Expo, ITEC Asia-Pacific 2014 - Conference Proceedings

Conference

Conference2014 IEEE Transportation Electrification Conference and Expo, ITEC Asia-Pacific 2014
Country/TerritoryChina
CityBeijing
Period31/08/143/09/14

Keywords

  • braking stability
  • composite braking
  • regenerative efficiency
  • uncertainty predictive model

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