Stability Control for FWID-EVs With Supervision Mechanism in Critical Cornering Situations

Ming Yue*, Lu Yang, Xi Ming Sun, Weiguo Xia

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

26 Citations (Scopus)

Abstract

This paper proposes a novel control strategy to improve the stability performance for four-wheel independent drive electric vehicles in critical cornering by introducing the supervision mechanism for yaw moment control and slip ratio regulation simultaneously. The proposed control strategy is a three-level structure: the first level is composed of a yaw moment controller and a longitudinal velocity controller; the second level is made up of a tyre force distributor; and the third level consists of a slip ratio regulator. To begin with, the supervision mechanism is developed to supervise vehicle driving states and determine whether the yaw moment controller should be activated. After that, the tyre force distributor is presented to assign the resultant force/moment generated by the first level to the four independent wheels, in which average distribution, dynamic load distribution, and optimal distribution schemes are separately discussed for comparison. Also, the slip ratio regulator is designed to regulate the slip ratio within the threshold. In the end, simulations performed on a nonlinear vehicle model with eight degree of freedom validated the effectiveness of the proposed control strategy and approaches.

Original languageEnglish
Article number8453913
Pages (from-to)10387-10397
Number of pages11
JournalIEEE Transactions on Vehicular Technology
Volume67
Issue number11
DOIs
Publication statusPublished - Nov 2018
Externally publishedYes

Keywords

  • Electronic stability control
  • four-wheel independent drive electric vehicle
  • supervision mechanism
  • tyre force distribution
  • vehicle dynamics control

Fingerprint

Dive into the research topics of 'Stability Control for FWID-EVs With Supervision Mechanism in Critical Cornering Situations'. Together they form a unique fingerprint.

Cite this