The rapid and accurate lane change path planning, effective tracking of the desired path, and maintaining vehicle stability during the lane change process are core technologies for ensuring active safety in intelligent vehicles. Aiming at the path planning problem in the process of active lane change of intelligent vehicles, the path planning strategy based on double quintic polynomials is proposed by introducing the intermediate position in this paper. It improves the smoothness of lane change path, ensures the safety of vehicle lane change, and satisfies the real-time requirement of lane change. The active lane change scenario is analyzed to determine the initial and target position of the lane change. The lane-changing path planning strategy of double quintic polynomial is proposed based on the critical collision point during lane change. Through the establishment of co-simulation model, the active lane change simulation test is carried out in different road states. The result shows that the lane-changing path planning by the double quintic polynomial programming method has more obvious lateral displacement due to the introduction of the intermediate point. And it can avoid the obstacle in front of the vehicle to ensure the safety of lane changing. At the same time, the maximum lateral acceleration of the vehicle at the intermediate position during lane changing is no more than 2m/s2, which ensures the handling stability of the vehicle during the lane change process. Under the conditions of dry or wet road surfaces, the required longitudinal safety distance for lane changing is reduced by about 20 meters, ensures the safety of longitudinal collisions during the lane changing process. The research results of the paper can provide theoretical and practical basis for the active lane changing path planning of intelligent vehicles.