| Home | KSAE | E-Submission | Sitemap | Contact Us
top_img
International Journal of Automotive Technology > Volume 14(6); 2013 > Article
International Journal of Automotive Technology 2013;14(6): 889-895.
DEVELOPMENT OF ESTIMATION ALGORITHMS FOR VEHICLE’S MASS AND ROAD GRADE
I. KIM1, H. KIM1, J. BANG2, K. HUH1
1Hanyang University
2Hyundai Kia Motor Company
ABSTRACT
In controlling the longitudinal motion of electrified vehicles such as hybrid vehicles and PHEV (Plug-in Hybrid Electric Vehicles), the variation of the driving resistance loads (or driving loads) such as road grade and actual vehicle mass, is the most influential factor which limits the control performance. Measuring the driving load is not impossible, but it is costly since additional sensors have to be mounted on the vehicle. In this study, methods for estimating vehicle mass and road grade are designed to compensate for the driving loads. The proposed methods are verified using simulation tools and then evaluated experimentally.
Key Words: Mass estimation, Road grade, RLS(Recursive Least Square), Longitudinal/lateral dynamics
Editorial Office
21 Teheran-ro 52-gil, Gangnam-gu, Seoul 06212, Korea
TEL: +82-2-564-3971/2   FAX: +82-2-564-3973   E-mail: car@ksae.org
About |  Browse Articles |  Current Issue |  For Authors and Reviewers
Copyright © The Korean Society of Automotive Engineers. All rights reserved.                 Developed in M2community
Close layer
prev next