Abstract: To solve the problem of task unloading when computing and communication resources are insufficient in the dynamic environment of Internet of vehicles, this paper proposed a multi-objective task unloading method oriented to vehicle edge computing. The paper established the communication model and computing model in vehicle edge computing, considered the task delay constraints of each vehicle application, designed a multi-objective optimization objective function, jointly optimized the delay and energy consumption costs, and proposed a multi-objective task unloading algorithm by introducing cross mutation, non-dominated sorting, congestion ranking and other technologies. The experiment shows that compared to other task offloading methods, the proposed method significantly reduces the processing time and energy consumption for tasks.