On-Line Data-Based Load Classification in Narrow-Track Vehicles

Abstract

In automotive applications, the knowledge of the vehicle load is a crucial factor that can bring significant improvement on safety and performance, e.g. in ABS or semiactive suspensions control. In narrow-track vehicles, this aspect is even more important, considering that the mass variation - w.r.t to the vehicle one - is higher than in standard vehicles. The objective of this work is to present an on-line data-based mass classifier based on inertial sensors only. The effectiveness of the approach is assessed on experimental data taken from a real vehicle.