System Efficiency Improvement for Electric Vehicles Adopting a Permanent Magnet Synchronous Motor Direct Drive System

Chengming Zhang, Qingbo Guo, Liyi Li, Mingyi Wang and Tiecheng Wang
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Chengming Zhang: Department of Electrical Engineering, Harbin Institute of Technology University, Room 205, Building 2C, Science Park of Harbin Institute of Technology, Nangang District, Harbin 150001, China
Qingbo Guo: Department of Electrical Engineering, Harbin Institute of Technology University, Room 205, Building 2C, Science Park of Harbin Institute of Technology, Nangang District, Harbin 150001, China
Liyi Li: Department of Electrical Engineering, Harbin Institute of Technology University, Room 205, Building 2C, Science Park of Harbin Institute of Technology, Nangang District, Harbin 150001, China
Mingyi Wang: Department of Electrical Engineering, Harbin Institute of Technology University, Room 205, Building 2C, Science Park of Harbin Institute of Technology, Nangang District, Harbin 150001, China
Tiecheng Wang: Department of Electrical Engineering, Harbin Institute of Technology University, Room 205, Building 2C, Science Park of Harbin Institute of Technology, Nangang District, Harbin 150001, China

Energies, 2017, vol. 10, issue 12, 1-27

Abstract: To improve the endurance mileage of electric vehicles (EVs), it is important to decrease the energy consumption of the Permanent Magnet Synchronous Motor (PMSM) drive system. This paper proposes a novel loss optimization control strategy named system efficiency improvement control which can optimize both inverter and motor losses. A nonlinear power converter loss model is built to fit the nonlinear characteristics of power devices. This paper uses double Fourier integral analysis to analytically calculate the fundamental and harmonic components of motor current by which the fundamental motor loss and harmonic motor loss can be accurately analyzed. From these loss models, a whole-frequency-domain system loss model is derived and presented. Based on the system loss model, the system efficiency improvement control method applies the genetic algorithm to adjust the motor current and PWM frequency together to optimize the inverter and motor losses by which the system efficiency can be significantly improved without seriously influence on the system stability over the whole operation range of EVs. The optimal effects of system efficiency is verified by the experimental results in both Si-IGBT-based PMSM system and SiC-MOSFET-based system.

Keywords: permanent magnet synchronous motor; inverter loss; fundamental loss; harmonic loss; double Fourier integral analysis; nonlinear loss model; system loss; efficiency optimization; SiC-MOSFET; electric vehicle (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (10)

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