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

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 opt...

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Main Authors: Guo, Qingbo, Zhang, Chengming, Li, Liyi, Gerada, David, Zhang, Jiangpeng, Wang, Mingyi
Format: Article
Published: Elsevier 2017
Subjects:
Online Access:https://eprints.nottingham.ac.uk/46788/
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author Guo, Qingbo
Zhang, Chengming
Li, Liyi
Gerada, David
Zhang, Jiangpeng
Wang, Mingyi
author_facet Guo, Qingbo
Zhang, Chengming
Li, Liyi
Gerada, David
Zhang, Jiangpeng
Wang, Mingyi
author_sort Guo, Qingbo
building Nottingham Research Data Repository
collection Online Access
description 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.
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spelling nottingham-467882020-05-04T19:12:36Z https://eprints.nottingham.ac.uk/46788/ Design and implementation of a loss optimization control for electric vehicle in-wheel permanent-magnet synchronous motor direct drive system Guo, Qingbo Zhang, Chengming Li, Liyi Gerada, David Zhang, Jiangpeng Wang, Mingyi 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. Elsevier 2017-10-15 Article PeerReviewed Guo, Qingbo, Zhang, Chengming, Li, Liyi, Gerada, David, 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 SiC-MOSFETs Loss optimization control Nonlinear loss model Analytical harmonic model of inverter output Double Fourier integral analysis Electric vehicle traction systems http://www.sciencedirect.com/science/article/pii/S0306261917305159 doi:10.1016/j.apenergy.2017.05.023 doi:10.1016/j.apenergy.2017.05.023
spellingShingle SiC-MOSFETs
Loss optimization control
Nonlinear loss model
Analytical harmonic model of inverter output
Double Fourier integral analysis
Electric vehicle traction systems
Guo, Qingbo
Zhang, Chengming
Li, Liyi
Gerada, David
Zhang, Jiangpeng
Wang, Mingyi
Design and implementation of a loss optimization control for electric vehicle in-wheel permanent-magnet synchronous motor direct drive system
title Design and implementation of a loss optimization control for electric vehicle in-wheel permanent-magnet synchronous motor direct drive system
title_full Design and implementation of a loss optimization control for electric vehicle in-wheel permanent-magnet synchronous motor direct drive system
title_fullStr Design and implementation of a loss optimization control for electric vehicle in-wheel permanent-magnet synchronous motor direct drive system
title_full_unstemmed Design and implementation of a loss optimization control for electric vehicle in-wheel permanent-magnet synchronous motor direct drive system
title_short Design and implementation of a loss optimization control for electric vehicle in-wheel permanent-magnet synchronous motor direct drive system
title_sort design and implementation of a loss optimization control for electric vehicle in-wheel permanent-magnet synchronous motor direct drive system
topic SiC-MOSFETs
Loss optimization control
Nonlinear loss model
Analytical harmonic model of inverter output
Double Fourier integral analysis
Electric vehicle traction systems
url https://eprints.nottingham.ac.uk/46788/
https://eprints.nottingham.ac.uk/46788/
https://eprints.nottingham.ac.uk/46788/