| An automatic lane change (ALC) environment perception system of an electric vehicle is established. Besides, the ALC real vehicle platform and steering system structural transformation scheme are introduced. In addition, a low-cost and reliable environment perception scheme is designed. Moreover, for the front vehicle of the same lane, the data of a 24 Ghz millimeter wave radar and a forward looking camera are fused through weighted fusion algorithm. Furthermore, through real vehicle acquisition, the ideal weight curves of the two sensors at different distances are fitted, which improves the accuracy and stability of the environment perception. Finally, the applicability of the ALC environment perception system of the electric vehicle is verified in an obstacle avoidance lane change experiment.