Algorithm Design And Bench Implementation For Motor Performance Optimization Of Pure Electric Commercial Vehicles

The energy crisis and environmental pollution problems facing the world are becoming more and more serious,and it is urgent to research and develop pollution-free and emissionfree new energy electric vehicles.The power system of pure electric commercial vehicles has to adapt to complex working conditions,harsh environment and high power density,etc.In order to ensure the comfort,efficiency and safety of vehicle driving,motor control is the core issue of electric drive system,so it is important to study the high performance motor control algorithm.In this paper,the mathematical model of a new energy vehicle drive motor is explored and discretized,and control methods such as Direct Torque Control(DTC)and Model Predictive Control(MPC)are discussed in terms of control principles,and a simulation model is built for verification.A multi-objective sequencing MPTC is proposed based on the Model Predictive Torque Control(MPTC)combining the two methods,which can maintain good steady-state performance at a lower sampling frequency.To ensure the performance of the MPTC,the flux and torque of the motor are estimated using the Romberg observer,which has a high accuracy over a wide speed range.The optional voltage vectors are classified using graph theory while the model cost function factors are optimised and the control delays caused by hardware processing are compensated for using a modified Euler method.In order to avoid offline selection of MPTC weight coefficients,the time complexity of the algorithm is reduced using the Tim-Sort method based on multi-objective ranking,which further improves the algorithm performance and compares the proposed algorithm with a common MPTC.On the basis of this theory,the hardware circuit and software algorithm are designed respectively,and the motor control algorithm is opened and implemented based on the digital control chip STM32F4 generator system.The effectiveness of the proposed method is verified through the simulation and experimental results of the PMSM system.The method reduces switching losses and improves the dynamic performance of the permanent magnet synchronous motor.