IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v15y2022i17p6186-d897864.html
   My bibliography  Save this article

Design and Optimization Technologies of Permanent Magnet Machines and Drive Systems Based on Digital Twin Model

Author

Listed:
  • Lin Liu

    (School of Electrical and Data Engineering, University of Technology Sydney, Ultimo, NSW 2007, Australia)

  • Youguang Guo

    (School of Electrical and Data Engineering, University of Technology Sydney, Ultimo, NSW 2007, Australia)

  • Wenliang Yin

    (School of Electrical and Electronic Engineering, Shandong University of Technology, Zibo 255000, China
    School of Electrical and Information Engineering, The University of Sydney, Camperdown, NSW 2006, Australia)

  • Gang Lei

    (School of Electrical and Data Engineering, University of Technology Sydney, Ultimo, NSW 2007, Australia)

  • Jianguo Zhu

    (School of Electrical and Information Engineering, The University of Sydney, Camperdown, NSW 2006, Australia)

Abstract

One of the keys to the success of the fourth industrial revolution (Industry 4.0) is to empower machinery with cyber–physical systems connectivity. The digital twin (DT) offers a promising solution to tackle the challenges for realizing digital and smart manufacturing which has been successfully projected in many scenes. Electrical machines and drive systems, as the core power providers in many appliances and industrial equipment, are supposed to be reinforced on the verge of Industry 4.0 in the fields of design optimization, fault prognostic and coordinated control. Therefore, this paper aims to investigate the DT modelling method and the applications in electrical drive systems. Firstly, taking the high-speed permanent-magnet machine drive system as an example, multi-disciplinary design fundamentals and technologies, aiming at building initial mechanism and simulation models, are reviewed. The state-of-the-art of DT technologies is figured out to serve for high-precision and multi-scale dynamic modelling, by which a framework for DT models of electrical drive systems is presented. More importantly, fault diagnosis and optimization strategies of electrical drive systems in the decision and application layer are also discussed for the DT models, followed by the conclusions presenting open questions and possible directions.

Suggested Citation

  • Lin Liu & Youguang Guo & Wenliang Yin & Gang Lei & Jianguo Zhu, 2022. "Design and Optimization Technologies of Permanent Magnet Machines and Drive Systems Based on Digital Twin Model," Energies, MDPI, vol. 15(17), pages 1-26, August.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:17:p:6186-:d:897864
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/15/17/6186/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/15/17/6186/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Gang Lei & Jianguo Zhu & Youguang Guo & Chengcheng Liu & Bo Ma, 2017. "A Review of Design Optimization Methods for Electrical Machines," Energies, MDPI, vol. 10(12), pages 1-31, November.
    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. Youguang Guo & Lin Liu & Xin Ba & Haiyan Lu & Gang Lei & Wenliang Yin & Jianguo Zhu, 2022. "Measurement and Modeling of Magnetic Materials under 3D Vectorial Magnetization for Electrical Machine Design and Analysis," Energies, MDPI, vol. 16(1), pages 1-11, December.
    2. Youguang Guo & Lin Liu & Xin Ba & Haiyan Lu & Gang Lei & Pejush Sarker & Jianguo Zhu, 2022. "Characterization of Rotational Magnetic Properties of Amorphous Metal Materials for Advanced Electrical Machine Design and Analysis," Energies, MDPI, vol. 15(20), pages 1-18, October.
    3. Ihor Shchur & Marek Lis & Yurii Biletskyi, 2023. "A Non-Equilibrium Thermodynamic Approach for Analysis of Power Conversion Efficiency in the Wind Energy System," Energies, MDPI, vol. 16(13), pages 1-25, 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. Nicolas Bernard & Linh Dang & Luc Moreau & Salvy Bourguet, 2022. "A Pre-Sizing Method for Salient Pole Synchronous Reluctance Machines with Loss Minimization Control for a Small Urban Electrical Vehicle Considering the Driving Cycle," Energies, MDPI, vol. 15(23), pages 1-19, December.
    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. Sebastian Berhausen & Tomasz Jarek, 2021. "Method of Limiting Shaft Voltages in AC Electric Machines," Energies, MDPI, vol. 14(11), pages 1-19, June.
    4. Chengcheng Liu & Jiawei Lu & Youhua Wang & Gang Lei & Jianguo Zhu & Youguang Guo, 2018. "Design Issues for Claw Pole Machines with Soft Magnetic Composite Cores," Energies, MDPI, vol. 11(8), pages 1-15, August.
    5. Md Sydur Rahman & Grace Firsta Lukman & Pham Trung Hieu & Kwang-Il Jeong & Jin-Woo Ahn, 2021. "Optimization and Characteristics Analysis of High Torque Density 12/8 Switched Reluctance Motor Using Metaheuristic Gray Wolf Optimization Algorithm," Energies, MDPI, vol. 14(7), pages 1-17, April.
    6. Haipeng Liu & Xin Jin & Nicola Bianchi & Gerd Bramerdorfer & Pengzhong Hu & Chengning Zhang & Yongxi Yang, 2022. "A Permanent Magnet Assembling Approach to Mitigate the Cogging Torque for Permanent Magnet Machines Considering Manufacturing Uncertainties," Energies, MDPI, vol. 15(6), pages 1-19, March.
    7. João F. P. Fernandes & Pedro P. C. Bhagubai & Paulo J. C. Branco, 2022. "Recent Developments in Electrical Machine Design for the Electrification of Industrial and Transportation Systems," Energies, MDPI, vol. 15(17), pages 1-13, September.
    8. Henda Zorgani Agrebi & Naourez Benhadj & Mohamed Chaieb & Farooq Sher & Roua Amami & Rafik Neji & Neil Mansfield, 2021. "Integrated Optimal Design of Permanent Magnet Synchronous Generator for Smart Wind Turbine Using Genetic Algorithm," Energies, MDPI, vol. 14(15), pages 1-20, July.
    9. Sajjad Ahmadi & Thierry Lubin & Abolfazl Vahedi & Nasser Taghavi, 2021. "Sensitivity-Based Optimization of Interior Permanent Magnet Synchronous Motor for Torque Characteristic Enhancement," Energies, MDPI, vol. 14(8), pages 1-15, April.
    10. Xueping Xu & Qinkai Han & Fulei Chu, 2018. "Review of Electromagnetic Vibration in Electrical Machines," Energies, MDPI, vol. 11(7), pages 1-33, July.
    11. Edison Gundabattini & Arkadiusz Mystkowski & Adam Idzkowski & Raja Singh R. & Darius Gnanaraj Solomon, 2021. "Thermal Mapping of a High-Speed Electric Motor Used for Traction Applications and Analysis of Various Cooling Methods—A Review," Energies, MDPI, vol. 14(5), pages 1-32, March.
    12. Chengcheng Liu & Gang Lei & Bo Ma & Youguang Guo & Jianguo Zhu, 2018. "Robust Design of a Low-Cost Permanent Magnet Motor with Soft Magnetic Composite Cores Considering the Manufacturing Process and Tolerances," Energies, MDPI, vol. 11(8), pages 1-17, August.
    13. Niklas Umland & Kora Winkler & David Inkermann, 2023. "Multidisciplinary Design Automation of Electric Motors—Systematic Literature Review and Methodological Framework," Energies, MDPI, vol. 16(20), pages 1-39, October.
    14. Noman Ullah & Abdul Basit & Faisal Khan & Wasiq Ullah & Mohsin Shahzad & Atif Zahid, 2018. "Enhancing Capabilities of Double Sided Linear Flux Switching Permanent Magnet Machines," Energies, MDPI, vol. 11(10), pages 1-21, October.
    15. Jilong Zhao & Xiaowei Quan & Mengdie Jing & Mingyao Lin & Nian Li, 2018. "Design, Analysis and Model Predictive Control of an Axial Field Switched-Flux Permanent Magnet Machine for Electric Vehicle/Hybrid Electric Vehicle Applications," Energies, MDPI, vol. 11(7), pages 1-22, July.
    16. Rahul R. Kumar & Mauro Andriollo & Giansalvo Cirrincione & Maurizio Cirrincione & Andrea Tortella, 2022. "A Comprehensive Review of Conventional and Intelligence-Based Approaches for the Fault Diagnosis and Condition Monitoring of Induction Motors," Energies, MDPI, vol. 15(23), pages 1-36, November.
    17. Xiushan Wu & Can Li & Sian Sun & Renyuan Tong & Qing Li, 2019. "A Study on the Heating Method and Implementation of a Shrink-Fit Tool Holder," Energies, MDPI, vol. 12(18), pages 1-17, September.
    18. Hongye Zhang & Zezhao Wen & Francesco Grilli & Konstantinos Gyftakis & Markus Mueller, 2021. "Alternating Current Loss of Superconductors Applied to Superconducting Electrical Machines," Energies, MDPI, vol. 14(8), pages 1-39, April.
    19. Mbika Muteba, 2021. "Optimization of Air Gap Length and Capacitive Auxiliary Winding in Three-Phase Induction Motors Based on a Genetic Algorithm," Energies, MDPI, vol. 14(15), pages 1-18, July.
    20. Yinquan Yu & Yue Pan & Qiping Chen & Yiming Hu & Jian Gao & Zhao Zhao & Shuangxia Niu & Shaowei Zhou, 2023. "Multi-Objective Optimization Strategy for Permanent Magnet Synchronous Motor Based on Combined Surrogate Model and Optimization Algorithm," Energies, MDPI, vol. 16(4), pages 1-17, February.

    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:15:y:2022:i:17:p:6186-:d:897864. 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.