The paper aims to determine the electric wheel hub's modeling feature which matches the preferences of target users via the method of variance analysis (VA), and explore the significance of the wheel hub's modeling feature, the age of customers, and the perception images. Completing 8 different styles of wheel hub modeling feature with 5 sets of spokes. Obtain 8 perception image vocabularies which are consistent with the overall style of the electric vehicle, and use the 5-stage semantic difference (SD) method to conduct perception image experiments on 102 target persons. Apply variance analysis method to procced a comparative analysis of 6 important perception image vocabularies which are determined by principal component analysis (PCA). Calculate the significance of 8 wheel hub stylings and target population of 3 age levels on the perception image of electric vehicle wheel hub modeling features. The degree of influence of different perception image on the significance of differentiated electric wheel hubs is obtained. The significance of perception image on differentiated design of electric wheel hub is grasped, alone with the sensitivity to the specific age group. The trend of electric wheel hub modeling feature which is under of market segmentation conditions is summarized. And the degree of influence which has the feature of each wheel hub with distinctiveness is presented. The most sensitive age level of the subject in the specified perception image vocabularies, as well as the most significant modeling feature and prominent perception image of wheel hubs' feature are carried out by variance analysis, which provides scientific basis to guarantee the unity of the wheel hub and the vehicle style.