Research on Solving Low Ride Comfort and Strong Dizziness in New Energy Vehicles through Physics and Mathematics Methods

Abstract

Electric cars have extreme passenger experience problems with reduced ride comfort and increased motion sickness occurrences to 34% due to instantaneous torque and intensive regenerative brakes with high jerk magnitudes compared to 14% in traditional cars. In this study, a novel framework combining seven degrees-of-freedom dynamics and mathematical modeling of vestibular system reaction is proposed to conclude that jerk is a key factor in explaining motion sickness variability for 42%, and peak jerk in electric cars is higher than in traditional cars for 81%. The multi-objective optimization technique using NSGA-III genetic algorithms shows that parameters can be tuned to alleviate vibration experience and motion sickness index for 25% and 31%, respectively, with a negligible power performance penalty of 3.8% in return. Experimental testing on 50 subjects shows that this novel technology can significantly decrease motion sickness occurrence by 65% at a cost of 310 yuan per car to achieve engineering feasibility for industrialization and fill critical challenges in popularization of electromobility.