Vehicle Velocity Estimation using Effective Inertia for an In-wheel Electric Vehicle

In this study, a vehicle velocity estimation algorithm for an in-wheel electric vehicle is proposed. This algorithm estimates the vehicle velocity using the concept of effective inertia, which is based on the motor torque, the angular velocity of each wheel and vehicle acceleration. Effective inertia is a virtual mass that changes according to the state of a vehicle, such as acceleration, deceleration, turning or driving on a low friction road. The performance of the proposed vehicle velocity estimation algorithm was verified in various conditions that included straight driving, circle driving and low friction road driving using the in-wheel electric vehicle that was equipped with an in-wheel system in each of its rear wheels.

• Record URL:
  https://doi.org/10.1007/s12239-014-0085-8
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/12299138
• Supplemental Notes:
  • Copyright © 2014, The Korean Society of Automotive Engineers and Springer-Verlag Berlin Heidelberg.
• Authors:
  • Ko, S
  • Ko, J
  • Lee, S B
  • Cheon, J
  • Kim, H
• Publication Date: 2014-8

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 815-821
• Serial:
  • International Journal of Automotive Technology
  • Volume: 15
  • Issue Number: 5
  • Publisher: Korean Society of Automotive Engineers
  • ISSN: 1229-9138
  • EISSN: 1976-3832
  • Serial URL: http://link.springer.com/journal/12239

Subject/Index Terms

• TRT Terms: Acceleration (Mechanics); Algorithms; Driving; Electric vehicles; Speed measurement; Wheel base
• Subject Areas: Highways; Vehicles and Equipment; I91: Vehicle Design and Safety;

Filing Info

• Accession Number: 01542948
• Record Type: Publication
• Files: TRIS
• Created Date: Oct 31 2014 4:44PM