Design of an omnidirectional, multi-axle, distributed-drive electric truck with Mecanum wheels and direct yaw moment controller

This paper proposes a novel multi-axle distributed drive electric truck with Mecanum wheels (MDDETMW) and direct yaw moment controller (DYC). The proposed MDDETMW is designed to address environmental concerns related to diesel emissions and enhance poor steering performances of classical trucks. It uses a steer-less chassis structure and a DYC to regulate steering and omnidirectional maneuvers. A model predictive control-based DYC (MPC-based DYC) and a sliding mode control-based DYC (SMC-based DYC) are herein proposed. Simulation results show that the MDDETMW with MPC-based DYC provides a more accurate tracking performance to the reference models than the MDDETMW with SMC-based DYC and the classical truck. The proposed MDDETMW design and control method are promising and can significantly improve urban and inter-city transportation. The paper shows that the MDDETMW has the potential to revolutionize truck chassis design, offering superior efficiency and maneuverability.

• Record URL:
  • https://doi.org/10.1504/IJHVS.2024.142256
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/1744232X
• Supplemental Notes:
  • Copyright © 2024 Inderscience Enterprises Ltd.
• Authors:
  • Wang, Xiaozheng
  • Wong, Pak Kin
  • Guo, Rong
  • Sun, Ziyi
• Publication Date: 2024

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 721-751
• Serial:
  • International Journal of Heavy Vehicle Systems
  • Volume: 31
  • Issue Number: 6
  • Publisher: Inderscience Enterprises Limited
  • ISSN: 1744-232X
  • EISSN: 1741-5152
  • Serial URL: http://www.inderscience.com/jhome.php?jcode=IJHVS

Subject/Index Terms

• TRT Terms: Distributed control; Driving wheels; Electric vehicles; Steering; Trucks; Vehicle design
• Subject Areas: Design; Highways; Vehicles and Equipment;

Filing Info

• Accession Number: 01937816
• Record Type: Publication
• Files: TRIS
• Created Date: Nov 22 2024 2:27PM