Abstract
At present, most of the existing control strategies of motor drive system are based on the motor itself, without considering the electric vehicle energy consumption from the perspective of the whole vehicle. Hence, a motor drive system control strategy for electric vehicle energy consumption is proposed in this paper. Combining the electric vehicle driving state with the control of interior permanent magnet synchronous motor (IPMSM), the maximum torque per ampere (MTPA) control strategy of electric vehicle IPMSM based on optimization acceleration curve is established. Then, the proposed method is verified by both Matlab/Simulink simulation and experiment. The simulation and experimental results show that compared with the NEDC urban conditions, the driving range of the electric vehicle drive system control strategy based on optimization acceleration curve has been improved a lot, and the energy consumption per kilometer has also been reduced, which verifies the feasibility and effectiveness of the proposed control strategy.
Highlights
Up to now, many experts and scholars have carried out research on the drive control system of electric vehicles [1]–[4]
The main forms of fitting are as follows: the function of the dq-axis currents with the torque and flux linkage [18], [19], a function of the optimal torque angle and the stator current based on the maximum torque per ampere (MTPA) control [20], [21], In addition, the MTPA control can be achieved by adopting a multi-segment curve fitting method, so that the fitting precision and the operation speed of the system can be improved [22], [23]
The MTPA control strategy of interior permanent magnet synchronous motor (IPMSM) (IPMSM-MTPA control strategy) based on the optimization acceleration curve is proposed, and the energy consumption of different acceleration curves are analyzed by simulation and experiment
Summary
Many experts and scholars have carried out research on the drive control system of electric vehicles [1]–[4]. The main forms of fitting are as follows: the function of the dq-axis currents with the torque and flux linkage [18], [19], a function of the optimal torque angle and the stator current based on the MTPA control [20], [21], In addition, the MTPA control can be achieved by adopting a multi-segment curve fitting method, so that the fitting precision and the operation speed of the system can be improved [22], [23]. The relationship between the electric vehicle driving state and the motor control is considered in this paper On this basis, the MTPA control strategy of IPMSM (IPMSM-MTPA control strategy) based on the optimization acceleration curve is proposed, and the energy consumption of different acceleration curves are analyzed by simulation and experiment.
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