Design and implementation of a loss optimization control for electric vehicle in-wheel permanent-magnet synchronous motor direct drive system

Guo, Qingbo and Zhang, Chengming and Li, Liyi and Gerada, David and Zhang, Jiangpeng and Wang, Mingyi (2017) Design and implementation of a loss optimization control for electric vehicle in-wheel permanent-magnet synchronous motor direct drive system. Applied Energy, 204 . pp. 1317-1332. ISSN 0306-2619

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Abstract

As a main driving force of electric vehicles (EVs), the losses of in-wheel permanent-magnet synchronous motor (PMSM) direct drive system can seriously affect the energy consumption of EVs. This paper proposes a loss optimization control strategy for in-wheel PMSM direct drive system of EVs which optimizes the losses of both the PMSM and the inverter. The proposed method adjusts the copper losses and iron losses by identifying the optimal flux-weakening current, which results in the PMSM achieving the lower losses in the whole operational range. Moreover there are strongly nonlinear characteristics for the power devices, this paper creates a nonlinear loss model for three-phase half-bridge inverters to obtain accurate inverter losses under space vector pulse width modulation (SVPWM). Based on the inverter loss model and double Fourier integral analysis theory, the PWM frequency is optimized by the control strategy in order to maximize the inverter efficiency without affecting the operational stability of the drive. The proposed loss optimization control strategy can quickly find the optimum flux-weakening current and PWM frequency, and as a result, significantly broaden the high efficiency area of the PMSM direct drive system. The effects of the aforementioned strategy are verified by both theoretical analysis and experimental results.

Item Type: Article
Keywords: SiC-MOSFETs, Loss optimization control, Nonlinear loss model, Analytical harmonic model of inverter output, Double Fourier integral analysis, Electric vehicle traction systems
Schools/Departments: University of Nottingham, UK > Faculty of Engineering > Department of Electrical and Electronic Engineering
Identification Number: 10.1016/j.apenergy.2017.05.023
Depositing User: Eprints, Support
Date Deposited: 27 Sep 2017 14:07
Last Modified: 14 Oct 2017 08:46
URI: http://eprints.nottingham.ac.uk/id/eprint/46788

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