On-board identification of tyre cornering stiffness using dual Kalman filter and GPS

Cornering stiffness is one of the important vehicle parameters for steering control of a vehicle. Accurate vehicle parameters are essential for a high performance of vehicle control because vehicle control is significantly affected by variations in vehicle parameters. In this study, a novel identification method is proposed using a dual Kalman filter algorithm and a GPS (global positioning system) measurement system to estimate the cornering stiffness for on-board identification. Performance of the identification method is examined with experiments, and the estimation results show that this identification method is effective on both a flat road and a banked curve road.

• Record URL:
  • https://doi.org/10.1080/00423114.2014.999800
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/00423114
• Supplemental Notes:
  • Abstract reprinted with permission of Taylor & Francis.
• Authors:
  • Lee, Seungyong
  • Nakano, Kimihiko
  • Ohori, Masanori
• Publication Date: 2015-4

Language

• English

Media Info

• Media Type: Web
• Features: Figures; References; Tables;
• Pagination: pp 437-448
• Serial:
  • Vehicle System Dynamics
  • Volume: 53
  • Issue Number: 4
  • Publisher: Taylor & Francis
  • ISSN: 0042-3114
  • EISSN: 1744-5159
  • Serial URL: https://www.tandfonline.com/toc/nvsd20/current

Subject/Index Terms

• TRT Terms: Driver support systems; Global Positioning System; Kalman filtering; Maneuverability; Motor vehicle dynamics; Steering; Stiffness; Vehicle performance
• Subject Areas: Highways; Vehicles and Equipment; I91: Vehicle Design and Safety;

Filing Info

• Accession Number: 01561224
• Record Type: Publication
• Files: TRIS
• Created Date: Apr 27 2015 9:38AM