Objective Evaluation Method of Vehicle Ride Comfort Based on Small-Sample Statistics

Abstract Although ride comfort has been researched for many years, there is still no definite objective evaluation method which can match the subjective assessment feeling well. The mainly presented approaches are mostly based on ISO 2631, but the consistency and correlation between subjective evaluation and objective evaluation are inadequate in these studies. Taking the motion control as the study content, which is primary ride comfort. Different type components of vehicle have been combined in a tuning car to achieve various ride performance, such as springs, dampers, jounce bumpers and tires. Then corresponding subjective evaluation results and acceleration measurement data have been collected when driving the tuning car on a sine wave road. With correlation and clustering analysis, the most representative features of measurement data for subjective assessment were extracted. Based on the small-sample statics theory, a new objective evaluation method for ride motion control has been established using the features by the LASSO model. The cross validation and comparison results indicate that the new objective evaluation method has a good estimation for ride motion control and the method can be a complement for ISO 2631.