Robust Wheel Speed Control of Electric Vehicles with Respect to Backlash and Dead-time in Powertrains

Yussuf Shakhin, Ahmad Bala Alhassan, Minh Cao Ta, Binh Minh Nguyen, Ton Duc Do

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The primary advantage of electric vehicles (EVs) lies in their rapid and precise torque generation. Consequently, the research and development of traction control systems that ensure safety, stability, and reliability in EVs are becoming increasingly popular. In this paper, an analysis of the wheel-speed control of an EV under various operating conditions is presented. A double-loop cascade disturbance observer (DOB) was designed to estimate the wheel speed from the estimation of the total disturbance acting on the vehicle. The influence of gear backlash, torque delay, air drag, and road inclination were analyzed to investigate the effectiveness of the control system. The preliminary Matlab simulation analysis demonstrated that the DOB-based control design was effective and robust to the effects of external disturbances.

Original languageEnglish
Title of host publication2024 IEEE Vehicle Power and Propulsion Conference, VPPC 2024 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798331541606
DOIs
Publication statusPublished - 2024
Event2024 IEEE Vehicle Power and Propulsion Conference, VPPC 2024 - Washington, United States
Duration: Oct 7 2024Oct 10 2024

Publication series

Name2024 IEEE Vehicle Power and Propulsion Conference, VPPC 2024 - Proceedings

Conference

Conference2024 IEEE Vehicle Power and Propulsion Conference, VPPC 2024
Country/TerritoryUnited States
CityWashington
Period10/7/2410/10/24

Keywords

  • Cascaded Disturbance Observer
  • Electric Vehicle
  • Time-delay
  • Traction Control System

ASJC Scopus subject areas

  • Fluid Flow and Transfer Processes
  • Energy (miscellaneous)
  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment
  • Automotive Engineering
  • Electrical and Electronic Engineering
  • Control and Optimization

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