Driving motor system performance evaluation method for electric vehicle

Abstract

The invention discloses a driving motor system performance evaluation method for an electric vehicle. The driving motor system performance evaluation method analyzes from different dimensions such as motor control performance, motor body design and enterprise qualification and ability of the driving motor system according to performance characteristics of a driving motor used for the electric vehicle, adopts an analytic hierarchy process to determine a driving motor performance evaluation index system and index weights thereof, establishes a BP neural network model for driving motor system performance evaluation, organically integrates a bat algorithm with a particle swarm algorithm to form a bat-particle particle swarm hybrid algorithm, and optimizes parameters of the neural network structural model by adopting the bat-particle particle swarm hybrid algorithm. Simulation examples show that, through training and testing data samples, the driving motor system performance evaluation method which optimizes the neural network based on the analytic hierarchy process and the bat-particle particle swarm hybrid algorithm has the advantages of fast evaluation speed and high accuracy rate, achieves satisfying evaluation results, and has certain promotion value in evaluation, selection and application of a driving motor system for the electric vehicle.

Description

technical field [0001] The invention relates to the technical field of drive motors for electric vehicles, in particular to a method for evaluating the performance of a drive motor system for electric vehicles based on a hierarchical analysis and bat-particle swarm hybrid algorithm to optimize BP neural networks. Background technique [0002] At present, new energy vehicles are in the booming stage of development. As one of the main types of new energy vehicles, electric vehicles are an important means of transportation with low emissions and efficient use of resources, and are increasingly favored and preferred by people. The core component of an electric vehicle is a drive motor system consisting of a drive motor and a drive motor controller. The drive motors used in electric vehicles mainly include DC motors, induction motors, permanent magnet brushless motors, and switched reluctance motors. The drive motor system has become one of the key technologies of electric vehicl...

AI Technical Summary

Problems solved by technology

Most of the learning algorithms adopted by the above neural network evaluation models still use BP algorithm, particle swarm algorithm, genetic algorithm, etc. If these algorithms are used alone, there will be problems such as slow convergence speed, premature maturity, and falling into local optimum, which will greatly affect The evaluation process and its results

Images