According to the performance characteristics of the driving motor for electric vehicle, analysis of motor control performance, motor body design and enterprise qualification from the drive motor system, applying of analytic hierarchy process (AHP) to determine the performance evaluation index system and index weight of the driving motor, a BP neural network model of performance evaluating for drive motor, and the chicken group algorithm (CSO) was used to optimize the model. The simulation results showed that the performance evaluation method of drive motor based on AHP and CSOBP neural network has the advantages of high speed and high accuracy, and get satisfactory result, this have good engineering practical value to evaluation, selection and application for electric vehicle drive motor system.