Research On Control Strategy Of Dual Motor Driving System Based On Driving Cycle Recognition

As a means of cargo transportation,pure electric logistics vehicle needs not only higher dynamic performance,but also better endurance power in order to improve transportation efficiency.Due to the limitation of battery technology,the driving range of pure electric vehicles driven by single motor is poor at present.The dual motor driving system and its control strategy based on driving cycle identification can further improve the economic performance of the vehicle.This is of great significance to improve the technical level of pure electric logistics vehicle.Based on the joint project of school and enterprise,this paper takes a pure electric logistics vehicle as a research object to carry out energy-saving research of dual motor driving system.Firstly,the characteristics of several multi-power source coupling structures are analyzed,and the traction coupling structure is selected as the dynamic coupling structure of the dual motor driving system.The dynamic performance and economic performance requirements of the vehicle as well as the influencing factors of the vehicle performance are analyzed.The dynamic performance requirement of the vehicle is transformed into the requirement of the torque,power and speed of the motor.The parameters matching of driving motor in single motor driving system are completed.The parameters matching of the two driving motors in the dual motor driving system are accomplished based on the method of load demand distribution according to frequency.Secondly,the vehicle model is built by AVL Cruise software,and the control strategy model of dual motor driving system is built by MATLAB/Simulink.Through the joint simulation results of MATLAB/Simulink and Cruise,it can be seen that the parameters matching results of the key components of the driving system can meet the performance requirements of the vehicle.The dynamic performance of dual motor driving system is slightly better than that of single motor drive system.Compared with single motor driving system,the economic performance of double motor driving system is improved by 8.3%.At the same time,the vehicle test of single motor driving system is carried out,and the correctness of the simulation model is verified by comparing the test results with the simulation results.Finally,on the basis of the vehicle model and control strategy model built before,the driving cycle identification module is added.14 standard driving cycle conditions are selected to extract the characteristic parameters,and five representative conditions are selected as the basis of condition identification through cluster analysis.The model of working condition identification is built to make the actual driving condition be identified as the most similar representative driving condition with a certain period.Then,according to the control parameters corresponding to the representative driving cycle,the working mode of two motors is judged and switched.The control strategy parameters under five representative driving cycle are optimized by using Isight software.The initial control parameters in the control strategy of the dual motor driving cycle are converted to the optimized control parameters of the representative driving conditions.The corresponding simulation calculation is completed with Cruise software.The results show that the dual motor driving control strategy based on driving cycle recognition can achieve good driving cycle following.Compared with the rule-based control strategy,its economic performance is improved by 8.1%,which fully prove the energy-saving advantages of dual motor driving system and the driving cycle recognition control strategy.