Dynamics integrated control for four-wheel independent control electric vehicle

  • Guoying Chen
  • , Lei He*
  • , Buyang Zhang
  • , Min Hua
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Four-wheel independent control electric vehicle (FWIC-EV) as an emerging one has independent steering, driving and braking of each wheel. Apart from conventional vehicles, all independent chassis actuators drive-by-wire allow vehicle dynamic improvement to assist the driver in enhancing handling and cornering stability. In this paper, a multilevel integrated control including motion controller and control allocation is introduced for the performance improvement. In the strategy, the motion controller based on model prediction control (MPC) optimises the vehicle control forces and moments within the actuators' characteristics and tracks the longitudinal and lateral references. According to the calculation of the MPC controller, the control allocation minimises each wheel's tyre workload, and distributes the wheels' steering angles and driving/braking torques. In the processing of the allocation, the constraints divided into equality and inequality constraints are introduced for simplification. On the basis of an FWIC-EV co-simulation vehicle model and an experimental platform, the performance of the multilevel integrated control is demonstrated.

Original languageEnglish
Pages (from-to)515-534
Number of pages20
JournalInternational Journal of Heavy Vehicle Systems
Volume26
Issue number3-4
DOIs
Publication statusPublished - 2019

Bibliographical note

Publisher Copyright:
© 2019 Inderscience Enterprises Ltd.

Keywords

  • Allocation
  • Electric vehicle
  • Integrated control
  • Model prediction control
  • MPC
  • Tyre workload

ASJC Scopus subject areas

  • Automotive Engineering
  • Mechanical Engineering

Fingerprint

Dive into the research topics of 'Dynamics integrated control for four-wheel independent control electric vehicle'. Together they form a unique fingerprint.

Cite this