Research On Power Parameter Matching And Vehicle Control Strategy Of Electric Vehicle

With the rapid development of modern society and economy,resource consumption and environmental pollution have increasingly affected People's Daily life.The theme of "energy conservation,environmental protection and green development" has gradually become a consensus in today's world.Compared with traditional fuel vehicles,clean,quiet and more efficient electric vehicles emerged,becoming one of the key ways to achieve energy saving and emission reduction targets in the context of sustainable development.The electric vehicle integrates mechanical,electrical,chemical,magnetic and other multidisciplinary engineering technologies into one,Drive motor and its control system,power battery and its management system,the vehicle control system as three key system of electric vehicles,the vehicle control system as "brain" of electric vehicles,the vehicle control strategy of the core part is responsible for regulating the motor,battery and other modules of the vehicle to work together to ensure safe and efficient operation of electric vehicles.Although all aspects of electric vehicle technology are developing very rapidly at present,there are still problems such as insufficient range and low efficiency.Through the research of vehicle control strategy,it is committed to improving the power performance and economy of electric vehicles.The main research contents are divided into the following parts:(1)According to the performance indexes,parameters of electric vehicle parts such as motor,battery and transmission ratio were matched,and the transmission ratio was optimized.Simulation is conducted to verify whether the performance index is achieved through ADVISOR software.(2)The vehicle control strategy is studied,including driving intention recognition,torque control module,energy recovery module and so on.In torque control section,the electric car driving mode is divided into dynamic mode,general model,economic model,put forward the driver intention recognition method based on support vector machine(SVM),to the accelerator pedal opening and change rate as input,the drive control strategy of three different classification recognition,and use the improved gray Wolf algorithm optimization of support vector machine(SVM)parameters,further improve the accuracy of identification;On the energy recovery strategy,based on the composite power supply,the control strategy based on ECE braking regulations,ideal and actual braking force distribution curve of front and rear wheels was studied,and the braking force distribution strategy of front and rear wheels under different braking intensity was developed.Aiming at the common faults of electric vehicles,the paper classifies the fault levels and sets different fault diagnosis and treatment strategies.Under the condition of safe operation,the design and development of the vehicle electrical control strategy.(3)Based on the PXI equipment of NI company,conduct the hardware in the loop test of the electric vehicle complete vehicle control system,realize the docking of the whole vehicle control strategy and the whole vehicle model of electric vehicle on the upper computer,complete the loop test of hardware,the results show that the power and economy are improved.(4)Build vehicle control strategy based on MotoTron rapid prototype development platform,compile and write vehicle control strategy into VCU vehicle control system platform,the experimental results show that the control strategy achieves the expected effect.