Three voltage vector duty cycle optimization strategy of the permanent magnet synchronous motor driving system for new energy electric vehicles based on finite set model predictive control

• Main Authors: Zhang, Chi, Xu, Binyue, Jasni, Jasronita, Mohd Radzi, Mohd Amran, Azis, Norhafiz, Zhang, Qi
• Format: Article
• Published: Multidisciplinary Digital Publishing Institute 2023
• Online Access: http://psasir.upm.edu.my/id/eprint/109246/; https://www.mdpi.com/1996-1073/16/6/2684
• Institution: Universiti Putra Malaysia

Faced with the increasingly serious energy crisis and environmental pollution problems, traditional internal combustion engine vehicles are receiving more and more resistance, which has rapidly promoted the development of new energy electric vehicles. Permanent magnet synchronous motors are widely used in new energy electric vehicles and in other fields because of their simple structure, light weight, small size, and high power density. With the continuous advancement of production technology, the requirements of accuracy, rapidity, and stability in permanent magnet synchronous motor systems have gradually increased. Among many advanced control technologies, this paper proposes an optimized model predictive torque control strategy based on voltage vector expansion. This strategy involves the construction of a reference stator flux linkage vector based on the analytical relationship between electromagnetic torque, reference stator flux linkage amplitude, and rotor flux linkage and the transfer of the separate control of electromagnetic torque and flux linkage amplitude into flux linkage vector control. At the same time, the optimal duty cycle corresponding to the two adjacent extended voltage vectors and the zero vector is calculated according to geometric relationships so as to realize the three voltage vector duty cycle optimization control. Experimental results show the effectiveness and superiority of the proposed strategy.