针对电动汽车路径规划中出行舒适度的问题，构建了考虑出行者舒适度的电动汽车路径规划模型，基于Dijkstra算法，考虑时间、距离、电动汽车（electric vehicle, EV）能耗及出行者舒适度等多种影响因素下的路径规划仿真，通过相应的测试算例，验证了模型和算法的有效性，进而以南宁市南宁站周边区域进行实例计算与分析，研究结果表明：所构建的最优路径模型，虽然在出行距离、出行时间和出行能耗上比常规的路径规划模型增加了3.1%、13.3%及4.6%，但是在舒适度上提升了9.4%。研究结论为提高电动汽车出行质量的研究提供了参考。

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, electric vehicle (EV) energy consumption, and traveler comfort. The effectiveness of the model and algorithm was verified through corresponding test cases, and an example calculation and analysis was conducted in surrounding area of Nanning Station in Nanning City. The results indicate that the optimal path model constructed has increased travel distance, travel time, and travel energy consumption by 3.1%, 13.3%, and 4.6% compared to conventional path planning models, but has improved comfort by 9.4%. Therefore, the study can provide reference for research on improving the quality of electric vehicle travel.