Abstract
The permanent magnet synchronous motor (PMSM) has high efficiency and high torque density. Field oriented control (FOC) is usually used in the motor to achieve maximum efficiency control. In the electric vehicle (EV) application, the PMSM efficiency model, combined with the EV and road load system model, is used to study the optimal energy-saving control strategy, which is significant for the economic operation of EVs. With the help of GPS, IMU, and other information technologies, the road conditions can be measured in advance. Based on this information, the optimal velocity of the EV driven by PMSM can be obtained through the analytical algorithm according to the efficiency model of PMSM and the vehicle dynamic model in simple road conditions. In complex road conditions, considering the dynamic characteristics, the economic operating velocity trajectory of the EV can be obtained through the dynamic programming (DP) algorithm. Simulation and experimental results show that the minimum energy consumption and global energy optimization can be achieved when the EV operates in the economic operation area.
Highlights
The permanent magnet synchronous motor (PMSM) has high efficiency and high torque density and is widely used in servo, wind power, and electric vehicle applications
The dynamometer is used to simulate the vehicle and the road load torque according to the vehicle dynamics parameters, and the traction motor, the inverter, and the battery are to simulate the vehicle driving system
It is significant to study the optimal velocity of the electric vehicle (EV)
Summary
The permanent magnet synchronous motor (PMSM) has high efficiency and high torque density and is widely used in servo, wind power, and electric vehicle applications. The optimal control algorithm for the system is proposed and used in a battery electric vehicle (EV), especially in automatic cruise conditions. The analytical and DP algorithms of minimum energy consumption are explored to solve the velocity optimization of an EV driven by PMSM. The dynamic characteristics in the minimum energy consumption control strategy for EV can be accurately acquired by the DP algorithm, but the solving process is complex and time-consuming. An analytical algorithm to solve the minimum energy consumption problem under different road loads is proposed and compared with the DP algorithm. It proved that the analytical algorithm can satisfy the engineering applications.
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