| 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 |
|
Preview 
Full text via DOI 
Download Citation
Print
