IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v10y2017i12p2030-d121181.html
   My bibliography  Save this article

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

Author

Listed:
  • 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)

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.

Suggested Citation

  • Chengming Zhang & Qingbo Guo & Liyi Li & Mingyi Wang & Tiecheng Wang, 2017. "System Efficiency Improvement for Electric Vehicles Adopting a Permanent Magnet Synchronous Motor Direct Drive System," Energies, MDPI, vol. 10(12), pages 1-27, December.
    • Handle: RePEc:gam:jeners:v:10:y:2017:i:12:p:2030-:d:121181
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/10/12/2030/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/10/12/2030/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Yi Sui & Ping Zheng & Fan Wu & Bin Yu & Pengfei Wang & Jiawei Zhang, 2014. "Research on a 20-Slot/22-Pole Five-Phase Fault-Tolerant PMSM Used for Four-Wheel-Drive Electric Vehicles," Energies, MDPI, vol. 7(3), pages 1-23, March.
    2. Ming Cheng & Le Sun & Giuseppe Buja & Lihua Song, 2015. "Advanced Electrical Machines and Machine-Based Systems for Electric and Hybrid Vehicles," Energies, MDPI, vol. 8(9), pages 1-24, September.
    3. Jing Zhao & Zhongxin Gu & Bin Li & Xiangdong Liu & Xiaobei Li & Zhen Chen, 2015. "Research on the Torque and Back EMF Performance of a High Speed PMSM Used for Flywheel Energy Storage," Energies, MDPI, vol. 8(4), pages 1-22, April.
    4. Tao Wang & He Wang, 2017. "Research on an Integrated Hydrostatic-Driven Electric Generator with Controllable Load for Renewable Energy Applications," Energies, MDPI, vol. 10(9), pages 1-17, August.
    5. Liang Chu & Yi-fan Jia & Dong-sheng Chen & Nan Xu & Yan-wei Wang & Xin Tang & Zhe Xu, 2017. "Research on Control Strategies of an Open-End Winding Permanent Magnet Synchronous Driving Motor (OW-PMSM)-Equipped Dual Inverter with a Switchable Winding Mode for Electric Vehicles," Energies, MDPI, vol. 10(5), pages 1-22, May.
    6. Weiwei Gu & Xiaoyong Zhu & Li Quan & Yi Du, 2015. "Design and Optimization of Permanent Magnet Brushless Machines for Electric Vehicle Applications," Energies, MDPI, vol. 8(12), pages 1-13, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Miran Rodič & Miro Milanovič & Mitja Truntič, 2018. "Digital Control of an Interleaving Operated Buck-Boost Synchronous Converter Used in a Low-Cost Testing System for an Automotive Powertrain," Energies, MDPI, vol. 11(9), pages 1-24, August.
    2. Klemen Drobnič & Lovrenc Gašparin & Rastko Fišer, 2019. "Fast and Accurate Model of Interior Permanent-Magnet Machine for Dynamic Characterization," Energies, MDPI, vol. 12(5), pages 1-20, February.
    3. Shuang Wang & Jianfei Zhao & Kang Yang, 2019. "High Frequency Square-Wave Voltage Injection Scheme-Based Position Sensorless Control of IPMSM in the Low- and Zero- Speed Range," Energies, MDPI, vol. 12(24), pages 1-21, December.
    4. Andrzej Łebkowski, 2018. "Design, Analysis of the Location and Materials of Neodymium Magnets on the Torque and Power of In-Wheel External Rotor PMSM for Electric Vehicles," Energies, MDPI, vol. 11(9), pages 1-23, August.
    5. Taewook Ha & Nyeon Gu Han & Min Soo Kim & Kyu Heon Rho & Dong Kyu Kim, 2021. "Experimental Study on Behavior of Coolants, Particularly the Oil-Cooling Method, in Electric Vehicle Motors Using Hairpin Winding," Energies, MDPI, vol. 14(4), pages 1-15, February.
    6. Michele De Santis & Sandro Agnelli & Fabrizio Patanè & Oliviero Giannini & Gino Bella, 2018. "Experimental Study for the Assessment of the Measurement Uncertainty Associated with Electric Powertrain Efficiency Using the Back-to-Back Direct Method," Energies, MDPI, vol. 11(12), pages 1-19, December.
    7. Shun Li & Xinxiu Zhou, 2018. "Sensorless Energy Conservation Control for Permanent Magnet Synchronous Motors Based on a Novel Hybrid Observer Applied in Coal Conveyer Systems," Energies, MDPI, vol. 11(10), pages 1-23, September.
    8. Gianluca Brando & Adolfo Dannier & Andrea Del Pizzo, 2022. "Efficiency Analytical Characterization for Brushless Electric Drives," Energies, MDPI, vol. 15(8), pages 1-11, April.
    9. Dongliang Liu & Xinhua Guo & Youjian Lei & Rongkun Wang & Ruipei Chen & Fenyu Chen & Zhongshen Li, 2022. "An Improved Control Strategy of PMSM Drive System with Integrated Bidirectional DC/DC," Energies, MDPI, vol. 15(6), pages 1-16, March.
    10. Andrzej Łebkowski, 2018. "Reduction of Fuel Consumption and Pollution Emissions in Inland Water Transport by Application of Hybrid Powertrain," Energies, MDPI, vol. 11(8), pages 1-16, July.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jianfei Zhao & Minqi Hua & Tingzhang Liu, 2018. "Research on a Sliding Mode Vector Control System Based on Collaborative Optimization of an Axial Flux Permanent Magnet Synchronous Motor for an Electric Vehicle," Energies, MDPI, vol. 11(11), pages 1-16, November.
    2. Liqin Wu & Hao Chen & Tingyue Yu & Chengzhi Sun & Lin Wang & Xuerong Ye & Guofu Zhai, 2023. "Robust Design Optimization of the Cogging Torque for a PMSM Based on Manufacturing Uncertainties Analysis and Approximate Modeling," Energies, MDPI, vol. 16(2), pages 1-24, January.
    3. Qingsong Wang & Shuangxia Niu, 2015. "Electromagnetic Design and Analysis of a Novel Fault-Tolerant Flux-Modulated Memory Machine," Energies, MDPI, vol. 8(8), pages 1-17, August.
    4. Ahmed Chaibet & Moussa Boukhnifer & Nadir Ouddah & Eric Monmasson, 2020. "Experimental Sensorless Control of Switched Reluctance Motor for Electrical Powertrain System," Energies, MDPI, vol. 13(12), pages 1-15, June.
    5. Weiwei Gu & Xiaoyong Zhu & Li Quan & Yi Du, 2015. "Design and Optimization of Permanent Magnet Brushless Machines for Electric Vehicle Applications," Energies, MDPI, vol. 8(12), pages 1-13, December.
    6. Oğuz Mısır & Mehmet Akar, 2022. "Efficiency and Core Loss Map Estimation with Machine Learning Based Multivariate Polynomial Regression Model," Mathematics, MDPI, vol. 10(19), pages 1-18, October.
    7. Feng Yu & Ming Cheng & Kwok Tong Chau & Feng Li, 2015. "Control and Performance Evaluation of Multiphase FSPM Motor in Low-Speed Region for Hybrid Electric Vehicles," Energies, MDPI, vol. 8(9), pages 1-19, September.
    8. Sebastian Berhausen & Tomasz Jarek, 2021. "Method of Limiting Shaft Voltages in AC Electric Machines," Energies, MDPI, vol. 14(11), pages 1-19, June.
    9. Vitor Fernão Pires & Joaquim Monteiro & José Fernando Silva, 2019. "Dual 3-Phase Bridge Multilevel Inverters for AC Drives with Voltage Sag Ride-through Capability," Energies, MDPI, vol. 12(12), pages 1-18, June.
    10. Jakub Kucera & Petr Zakopal & Filip Baum & Ondrej Lipcak, 2024. "Modulation Techniques and Coordinated Voltage Vector Distribution: Effects on Efficiency in Dual-Inverter Topology-Based Electric Drives," Energies, MDPI, vol. 17(5), pages 1-20, February.
    11. Tao Wang & Yunce Zhang, 2018. "Design, Analysis, and Evaluation of a Compact Electromagnetic Energy Harvester from Water Flow for Remote Sensors," Energies, MDPI, vol. 11(6), pages 1-14, June.
    12. Xiaoyuan Wang & Haiying Lv & Qiang Sun & Yanqing Mi & Peng Gao, 2017. "A Proportional Resonant Control Strategy for Efficiency Improvement in Extended Range Electric Vehicles," Energies, MDPI, vol. 10(2), pages 1-16, February.
    13. Rui Tu & Hui Yang & Heyun Lin & Hanlin Zhan & Di Wu & Minghu Yu & Liang Chen & Wenjie Chen, 2022. "Investigation of a Novel Consequent-Pole Flux-Intensifying Memory Machine," Energies, MDPI, vol. 15(15), pages 1-15, July.
    14. Changhong Jiang & Qiming Wang & Niaona Zhang & Haitao Ding, 2022. "Overcurrent Protection and Unmatched Disturbance Rejection under Non-Cascade Structure for PMSM," Energies, MDPI, vol. 15(18), pages 1-11, September.
    15. Chang-Seok Park & Jae Suk Lee, 2018. "A Torque Error Compensation Algorithm for Surface Mounted Permanent Magnet Synchronous Machines with Respect to Magnet Temperature Variations," Energies, MDPI, vol. 10(9), pages 1-15, August.
    16. Yuanxi Chen & Weinong Fu & Shuangxia Niu & Sigao Wang, 2023. "A Torque-Enhanced Magnetic-Geared Machine with Dual-Series-Winding and Its Design Approach for Electric Vehicle Powertrain," Sustainability, MDPI, vol. 15(6), pages 1-17, March.
    17. Jingxia Wang & Yusheng Hu & Ming Cheng & Biao Li & Bin Chen, 2020. "Bidirectional Coupling Model of Electromagnetic Field and Thermal Field Applied to the Thermal Analysis of the FSPM Machine," Energies, MDPI, vol. 13(12), pages 1-15, June.
    18. Yuqing Yao & Chunhua Liu & Christopher H.T. Lee, 2018. "Quantitative Comparisons of Six-Phase Outer-Rotor Permanent-Magnet Brushless Machines for Electric Vehicles," Energies, MDPI, vol. 11(8), pages 1-18, August.
    19. Konstantina Bitsi & Sjoerd G. Bosga & Oskar Wallmark, 2022. "Design Aspects and Performance Evaluation of Pole-Phase Changing Induction Machines," Energies, MDPI, vol. 15(19), pages 1-18, September.
    20. Yi Li & Feng Chai & Zaixin Song & Zongyang Li, 2017. "Analysis of Vibrations in Interior Permanent Magnet Synchronous Motors Considering Air-Gap Deformation," Energies, MDPI, vol. 10(9), pages 1-18, August.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:10:y:2017:i:12:p:2030-:d:121181. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.