Optimal torque distribution method based on distributed electric drive vehicle

Abstract

The invention relates to an optimal torque distribution method based on a distributed electric drive vehicle. The torques of four drive wheels are reasonably distributed, and meanwhile the drive system efficiency and driving safety of the distributed electric drive vehicle are improved. The torque distribution method comprises the following steps of (1) adopting a response surface analysis methodfor conducting regression analysis on test data of a hub motor to obtain a drive motor efficiency function; (2) based on a demand torque value of a distributed electric drive system, establishing objective functions which characterize the efficiency optimization of the drive system and the driving safety optimization of the vehicle respectively; adopting a linear weighting method of a self-adaptive weight coefficient for converting solutions of the two objective functions into a multi-objective optimization problem under constraint conditions; (3) integrating the respective advantages of a genetic algorithm and a taboo search algorithm to put forward a hybrid genetic taboo search algorithm (HGTSA) for solving the multi-objective optimization problem, and obtaining the optimal torque distribution of the distributed electric drive system accordingly.

Description

technical field [0001] The invention belongs to the field of pure electric vehicles and vehicle longitudinal dynamics control, and relates to an optimal torque distribution method based on distributed electric drive vehicles. Background technique [0002] With energy saving and environmental protection becoming the theme of today's era, the development of electric vehicles has entered a new era. Pure electric vehicles rely on the drive system to meet the driving needs. The quality of the drive system has a great impact on the performance of the vehicle. There are two driving methods for electric vehicles: centralized drive and distributed drive. Distributed electric drive wheels do not require mechanical transmission components, which improves the space utilization efficiency of the vehicle. Most importantly, it breaks the fixed torque distribution mode of traditional automobiles, and can distribute wheel torque arbitrarily according to actual road conditions and vehicle dr...

AI Technical Summary

Problems solved by technology

Although there are many optimization algorithms that can deal with such problems, there are some shortcomings. The model predictive control algorithm has high requirements on the gradient of the objective function and the Hessian matrix. If it is too responsible, it will increase the calculation burden and prolong the simulation time. Multi-objective particle swarm optimization and multi-objective evolutionary algorithm meet the accuracy requirements at the cost of loss of computing time

Images