In response to the demand of consumers for improving the comfort of electric vehicle driving, this article considers typical road scenarios and vehicle driving parameters, and designs an experiment to evaluate the degree of passenger motion sickness. Based on actual vehicle test data, the correlation between subjective motion sickness degree of passengers and objective physiological indicators is analyzed, and objective physiological indicators strongly related to subjective motion degree are identified. Subsequently, sensitivity analysis was conducted on the factors that affect correlation, and the trend changes of various physiological indicators with the degree of passenger motion sickness were explored. Research has found that there is a significant correlation between objective physiological indicators such as pupil diameter of eye movement signals and EDA of electrodermal signals and subjective degree of motion sickness, and this correlation is more sensitive to age. As subjective degree of motion sickness increases, pupil diameter and EDA of electrodermal signals show a clear trend. At the end of this article, a graded evaluation model for passenger motion sickness degree was constructed by weighting the combination of subjective and objective evaluation indicators, achieving scientific quantification and testing evaluation of passenger motion sickness degree, providing a reference for improving user driving comfort.