In response to the issue of travel comfort in electric vehicle path planning, an electric vehicle path planning model considering traveler comfort was constructed. Based on the Dijkstra algorithm, path planning simulations were conducted considering various influencing factors such as time, distance, EV energy consumption, and traveler comfort. The effectiveness of the model and algorithm was verified through corresponding test examples. The results show that the optimal path model constructed in this article, although it increases travel distance and time by 1.4% and 3.8% compared to conventional path planning models, reduces travel energy consumption by 7% and improves comfort by 8%. This study can provide reference for research on improving the quality of electric vehicle travel.