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http://dx.doi.org/10.3795/KSME-A.2012.36.6.673

Real-Time Vehicle Mass Estimator for Active Rollover Prevention Systems  

Han, Kwang-Jin (Dept. of Automotive Engineering, Hanyang Univ.)
Kim, In-Keun (Dept. of Automotive Engineering, Hanyang Univ.)
Kim, Seung-Ki (Dept. of Automotive Engineering, Hanyang Univ.)
Huh, Kun-Soo (Dept. of Automotive Engineering, Hanyang Univ.)
Publication Information
Transactions of the Korean Society of Mechanical Engineers A / v.36, no.6, 2012 , pp. 673-679 More about this Journal
Abstract
Vehicle rollover is a serious kind of accident, particularly for sport utility vehicles, and its occurrence can be minimized by utilizing active rollover prevention systems. The performance of these protection systems is very sensitive to vehicle inertial parameters such as the vehicle's mass and center of mass. These parameters vary with the number of passengers and in different load situations. In this paper, a unified method for vehicle mass estimation is proposed that takes into account the available driving conditions. Three estimation algorithms are developed based on longitudinal, lateral, and vertical vehicle motion, respectively. Then, the three algorithms are combined to extract information on the vehicle's mass during arbitrary vehicle maneuvering. The performance of the proposed vehicle mass estimation method is demonstrated through real-time experiments.
Keywords
Vehicle Mass; Vehicle Dynamics; Estimation; Recursive Least Square;
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