Keywords
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.
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