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Unmanned electric vehicles find it difficult to accurately measure the movement of obstacles on the road during lane changing, resulting in inaccurate planned obstacle avoidance routes and the possibility of traffic accidents. A dynamic obstacle avoidance control method for lane changing of unmanned electric vehicles based on millimeter wave radar is proposed. Using the built-in sensor devices of electric vehicles, determine the driving status and road environment of unmanned electric vehicles, and determine whether the electric vehicles meet the lane changing conditions. Taking into account the movement status of electric vehicles and dynamic obstacles, make decisions on the lane changing behavior of autonomous electric vehicles. Using millimeter wave radar technology, design a dynamic obstacle avoidance controller, plan lane changing and obstacle avoidance routes based on decision results, generate control commands, and achieve dynamic obstacle avoidance control for unmanned electric vehicles. The conclusion drawn from the effectiveness testing experiment is that the measurement error of millimeter wave radar technology can be controlled within 0.1, and the position control error and collision risk are significantly reduced, with better control effects.