IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v15y2022i10p3781-d820511.html
   My bibliography  Save this article

Study on a Wheel Electric Drive System with SRD for Loader

Author

Listed:
  • Xinming Xu

    (College of Mechanical and Electrical Engineering, Hunan Agricultural University, Changsha 410128, China
    Hunan Provincial Key Laboratory of Intelligent Agricultural Machinery Equipment, Changsha 410128, China)

  • Yang Gu

    (School of Mechanical Engineering, Tongji University, Shanghai 200092, China)

  • Guangjun Liu

    (School of Mechanical Engineering, Tongji University, Shanghai 200092, China)

Abstract

Loaders are widely used in the construction of earthworks for construction projects. Due to the large volume and mass of these machines, they have shortcomings such as low driving efficiency and high energy consumption. To address these shortcomings, this work applied eclectic drive technology to a loader’s traction system. A wheel electric drive system with a switched reluctance driver (SRD) was developed. The operating principle and basic structure of the SRD system were analyzed. A new voltage PWM-controlled strategy with dynamic adjustable turn-on and turn-off angles and a single conducting phase in a fixed period was developed. Then, an SRD simulation model was established in MATLAB/Simulink. A simulation of the working condition for the loader was performed. A test bench for the SRD was built and accordingly the transportation and operation conditions were tested. The corresponding speed–time curve of transportation and operation was obtained. Simulation and experiment results showed that the electric drive system with SRD had excellent responses to changes in torque and speed and adapted well to the various working conditions of the loader. The system could effectively traction the loader and verified the feasibility and applicability of the wheel electric drive system.

Suggested Citation

  • Xinming Xu & Yang Gu & Guangjun Liu, 2022. "Study on a Wheel Electric Drive System with SRD for Loader," Energies, MDPI, vol. 15(10), pages 1-16, May.
  • Handle: RePEc:gam:jeners:v:15:y:2022:i:10:p:3781-:d:820511
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/15/10/3781/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/15/10/3781/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Yang, Jian & Zhang, Tiezhu & Hong, Jichao & Zhang, Hongxin & Zhao, Qinghai & Meng, Zewen, 2021. "Research on driving control strategy and Fuzzy logic optimization of a novel mechatronics-electro-hydraulic power coupling electric vehicle," Energy, Elsevier, vol. 233(C).
    2. Mahmoud A. Gaafar & Arwa Abdelmaksoud & Mohamed Orabi & Hao Chen & Mostafa Dardeer, 2021. "Performance Investigation of Switched Reluctance Motor Driven by Quasi-Z-Source Integrated Multiport Converter with Different Switching Algorithms," Sustainability, MDPI, vol. 13(17), pages 1-14, August.
    3. Songlin Yang & Jingan Feng & Bao Song, 2021. "Research on Decoupled Optimal Control of Straight-Line Driving Stability of Electric Vehicles Driven by Four-Wheel Hub Motors," Energies, MDPI, vol. 14(18), pages 1-25, September.
    4. Jichao Han & Baojun Ge & Kai Zhang & Yang Wang & Chao Wang, 2020. "Influence of Control and Structure Parameters on the Starting Performance of a 12/8 Pole Switched Reluctance Motor," Energies, MDPI, vol. 13(14), pages 1-15, July.
    5. Yuanfeng Lan & Yassine Benomar & Kritika Deepak & Ahmet Aksoz & Mohamed El Baghdadi & Emine Bostanci & Omar Hegazy, 2021. "Switched Reluctance Motors and Drive Systems for Electric Vehicle Powertrains: State of the Art Analysis and Future Trends," Energies, MDPI, vol. 14(8), pages 1-29, April.
    Full references (including those not matched with items on IDEAS)

    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. Youssef Amry & Elhoussin Elbouchikhi & Franck Le Gall & Mounir Ghogho & Soumia El Hani, 2022. "Electric Vehicle Traction Drives and Charging Station Power Electronics: Current Status and Challenges," Energies, MDPI, vol. 15(16), pages 1-30, August.
    2. Yun Zhang & Liang Chen & Zhixue Wang & Enguang Hou, 2022. "Speed Control of Switched Reluctance Motor Based on Regulation Region of Switching Angle," Energies, MDPI, vol. 15(16), pages 1-24, August.
    3. Yuanfeng Lan & Julien Croonen & Mohamed Amine Frikha & Mohamed El Baghdadi & Omar Hegazy, 2022. "A Comprehensive Performance Comparison between Segmental and Conventional Switched Reluctance Machines with Boost and Standard Converters," Energies, MDPI, vol. 16(1), pages 1-18, December.
    4. Hong, Jichao & Zhang, Tiezhu & Zhang, Zhen & Zhang, Hongxin, 2023. "Investigation of energy management strategy for a novel electric-hydraulic hybrid vehicle: Self-adaptive electric-hydraulic ratio," Energy, Elsevier, vol. 278(C).
    5. Mahmoud A. Gaafar & Arwa Abdelmaksoud & Mohamed Orabi & Hao Chen & Mostafa Dardeer, 2021. "Performance Investigation of Switched Reluctance Motor Driven by Quasi-Z-Source Integrated Multiport Converter with Different Switching Algorithms," Sustainability, MDPI, vol. 13(17), pages 1-14, August.
    6. Yawei Wang & Nicola Bianchi & Ronghai Qu, 2022. "Comparative Study of Non-Rare-Earth and Rare-Earth PM Motors for EV Applications," Energies, MDPI, vol. 15(8), pages 1-18, April.
    7. Zheng Li & Xiaopeng Wei & Jinsong Wang & Libo Liu & Shenhui Du & Xiaoqiang Guo & Hexu Sun, 2022. "Design of a Deflection Switched Reluctance Motor Control System Based on a Flexible Neural Network," Energies, MDPI, vol. 15(11), pages 1-16, June.
    8. Dimitrios Rimpas & Stavrοs D. Kaminaris & Dimitrios D. Piromalis & George Vokas & Konstantinos G. Arvanitis & Christos-Spyridon Karavas, 2023. "Comparative Review of Motor Technologies for Electric Vehicles Powered by a Hybrid Energy Storage System Based on Multi-Criteria Analysis," Energies, MDPI, vol. 16(6), pages 1-24, March.
    9. Omar Mutab Alsalami & Efat Yousefpoor & Mehdi Hosseinzadeh & Jan Lansky, 2024. "A Novel Optimized Link-State Routing Scheme with Greedy and Perimeter Forwarding Capability in Flying Ad Hoc Networks," Mathematics, MDPI, vol. 12(7), pages 1-26, March.
    10. Lin Li & Tiezhu Zhang & Kaiwei Wu & Liqun Lu & Lianhua Lin & Haigang Xu, 2022. "Design and Research on Electro-Hydraulic Drive and Energy Recovery System of the Electric Excavator Boom," Energies, MDPI, vol. 15(13), pages 1-17, June.
    11. Grzegorz Filo, 2023. "Artificial Intelligence Methods in Hydraulic System Design," Energies, MDPI, vol. 16(8), pages 1-19, April.
    12. Mahmoud Hamouda & Fahad Al-Amyal & Ismoil Odinaev & Mohamed N. Ibrahim & László Számel, 2022. "A Novel Universal Torque Control of Switched Reluctance Motors for Electric Vehicles," Mathematics, MDPI, vol. 10(20), pages 1-21, October.
    13. Wenmei Hao & Jie Hao & Zhifu Wang & Yi Hao, 2022. "Decoupling Characteristics and Torque Analytical Model of Sharing-Suspension-Windings Bearingless Switched Reluctance Motor Considering Flux-Linkage Saturation," Sustainability, MDPI, vol. 14(24), pages 1-14, December.
    14. Shantanu Pardhi & Sajib Chakraborty & Dai-Duong Tran & Mohamed El Baghdadi & Steven Wilkins & Omar Hegazy, 2022. "A Review of Fuel Cell Powertrains for Long-Haul Heavy-Duty Vehicles: Technology, Hydrogen, Energy and Thermal Management Solutions," Energies, MDPI, vol. 15(24), pages 1-55, December.
    15. Yu, Xiao & Lin, Cheng & Xie, Peng & Liang, Sheng, 2022. "A novel real-time energy management strategy based on Monte Carlo Tree Search for coupled powertrain platform via vehicle-to-cloud connectivity," Energy, Elsevier, vol. 256(C).
    16. Zhao, Chengxuan & Yang, Xiao & Yu, Jie & Yang, Minghan & Wang, Jianye & Chen, Shuai, 2023. "Interval type-2 fuzzy logic control for a space nuclear reactor core power system," Energy, Elsevier, vol. 280(C).
    17. Yang, Jian & Liu, Bo & Zhang, Tiezhu & Hong, Jichao & Zhang, Hongxin, 2023. "Multi-parameter controlled mechatronics-electro-hydraulic power coupling electric vehicle based on active energy regulation," Energy, Elsevier, vol. 263(PC).
    18. Yuanfeng Lan & Mohamed Amine Frikha & Julien Croonen & Yassine Benômar & Mohamed El Baghdadi & Omar Hegazy, 2022. "Design Optimization of a Switched Reluctance Machine with an Improved Segmental Rotor for Electric Vehicle Applications," Energies, MDPI, vol. 15(16), pages 1-16, August.
    19. Christodoulos Katis & Athanasios Karlis, 2023. "Evolution of Equipment in Electromobility and Autonomous Driving Regarding Safety Issues," Energies, MDPI, vol. 16(3), pages 1-34, January.
    20. Chiweta Emmanuel Abunike & Ogbonnaya Inya Okoro & Sumeet S. Aphale, 2022. "Intelligent Optimization of Switched Reluctance Motor Using Genetic Aggregation Response Surface and Multi-Objective Genetic Algorithm for Improved Performance," Energies, MDPI, vol. 15(16), pages 1-23, 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:15:y:2022:i:10:p:3781-:d:820511. 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.