Abstract Estimation algorithms for road slope angle and vehicle mass are presented for commercial vehicles. It is well known that vehicle weight and road grade significantly affect the longitudinal motion of a commercial vehicle. However, it is very difficult to measure the weight and road slope angle in real time because of lack of sensor technology. In addition, the total weight of a commercial vehicles varies depending on the freight. In this study, the road grade and vehicle mass estimation algorithms are proposed using the RLS (Recursive Least Square) method and only the in-vehicle sensors. The proposed algorithms are verified in experiments using a commercial vehicle under various conditions.
Development of algorithms for commercial vehicle mass and road grade estimation
International Journal of Automotive Technology ; 18 , 6 ; 1077-1083
2017-08-05
7 pages
Article (Journal)
Electronic Resource
English
Development of algorithms for commercial vehicle mass and road grade estimation
British Library Online Contents | 2017
|Development of algorithms for commercial vehicle mass and road grade estimation
Online Contents | 2017
|Development of estimation algorithms for vehicle’s mass and road grade
Springer Verlag | 2013
|Development of estimation algorithms for vehicle’s mass and road grade
Online Contents | 2013
|Development of estimation algorithms for vehicle’s mass and road grade
British Library Online Contents | 2013
|