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Energy efficient optimization for multi-motor system with novel inverter topology

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  • Chen, Yong
  • Liu, Chunhua

Abstract

Electric motors consume a large amount of energy in architectural buildings and industrial applications. Implementing high-efficiency motors and inverter driving systems can improve industrial energy efficiency and enhance societal sustainable development. This study proposes an efficiency-optimization control scheme for multi-motor drive applications based on a novel inverter topology. The multi-motor system operating in parallel is supplied from a new leg-sharing voltage source inverter (VSI) topology that arranges a common leg between the adjacent motors in turn and aims to reduce inverter loss and hardware cost. The specific model predictive control scheme combined with cycle division is designed for driving multi-motor independently and realizing switching state coordination of common legs concurrently. Compared to the traditional schemes, the deadbeat principle and multi-vector combination are adopted to improve output capacity within the affordable computational burden. In addition, a position controller using a cross-coupling structure is presented to fast suppress overcurrent in the sharing leg, thus decreasing inverter loss and extending the device lifetime, regardless of the given speed conditions. Finally, a three-motor platform is established to test the steady-state and transient performance of the proposed strategy and the comparative solutions. The test results indicate that the proposed drive scheme based on the leg-sharing VSI offers an overall efficiency enhancement and maintains excellent control properties simultaneously.

Suggested Citation

  • Chen, Yong & Liu, Chunhua, 2025. "Energy efficient optimization for multi-motor system with novel inverter topology," Renewable and Sustainable Energy Reviews, Elsevier, vol. 216(C).
  • Handle: RePEc:eee:rensus:v:216:y:2025:i:c:s1364032125003545
    DOI: 10.1016/j.rser.2025.115681
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    References listed on IDEAS

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    1. De Almeida, A. & Fong, J. & Brunner, C.U. & Werle, R. & Van Werkhoven, M., 2019. "New technology trends and policy needs in energy efficient motor systems - A major opportunity for energy and carbon savings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 115(C).
    2. Song, Zaixin & Liu, Chunhua, 2022. "Energy efficient design and implementation of electric machines in air transport propulsion system," Applied Energy, Elsevier, vol. 322(C).
    3. Boscaino, Valeria & Ditta, Vito & Marsala, Giuseppe & Panzavecchia, Nicola & Tinè, Giovanni & Cosentino, Valentina & Cataliotti, Antonio & Di Cara, Dario, 2024. "Grid-connected photovoltaic inverters: Grid codes, topologies and control techniques," Renewable and Sustainable Energy Reviews, Elsevier, vol. 189(PA).
    4. Zhang, Mengfan & Gómez, Pere Izquierdo & Xu, Qianwen & Dragicevic, Tomislav, 2023. "Review of online learning for control and diagnostics of power converters and drives: Algorithms, implementations and applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 186(C).
    5. Robles, Endika & Fernandez, Markel & Andreu, Jon & Ibarra, Edorta & Ugalde, Unai, 2021. "Advanced power inverter topologies and modulation techniques for common-mode voltage elimination in electric motor drive systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 140(C).
    6. Kwon, Kihan & Seo, Minsik & Min, Seungjae, 2020. "Efficient multi-objective optimization of gear ratios and motor torque distribution for electric vehicles with two-motor and two-speed powertrain system," Applied Energy, Elsevier, vol. 259(C).
    7. Robles, Endika & Fernandez, Markel & Andreu, Jon & Ibarra, Edorta & Zaragoza, Jordi & Ugalde, Unai, 2022. "Common-mode voltage mitigation in multiphase electric motor drive systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 157(C).
    8. Selvin Raj, Jaya Antony Perinba & Asirvatham, Lazarus Godson & Angeline, Appadurai Anitha & Manova, Stephen & Rakshith, Bairi Levi & Bose, Jefferson Raja & Mahian, Omid & Wongwises, Somchai, 2024. "Thermal management strategies and power ratings of electric vehicle motors," Renewable and Sustainable Energy Reviews, Elsevier, vol. 189(PB).
    9. Wang, Feng & Wu, Jiaming & Lin, Zichang & Zhang, Haoxiang & Xu, Bing, 2023. "A power-sharing electro-hydraulic actuator system to downsize electric motors for electric mobile machines," Energy, Elsevier, vol. 284(C).
    10. Venkataramanaiah, J. & Suresh, Y. & Panda, Anup Kumar, 2017. "A review on symmetric, asymmetric, hybrid and single DC sources based multilevel inverter topologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 76(C), pages 788-812.
    11. Mustapha Al Sakka & Thomas Geury & Mohamed El Baghdadi & Miguel Dhaens & Monzer Al Sakka & Omar Hegazy, 2022. "Review of Fault Tolerant Multi-Motor Drive Topologies for Automotive Applications," Energies, MDPI, vol. 15(15), pages 1-24, July.
    12. Pustina, L. & Biral, F. & Serafini, J., 2022. "A novel Economic Nonlinear Model Predictive Controller for power maximisation on wind turbines," Renewable and Sustainable Energy Reviews, Elsevier, vol. 170(C).
    13. Azab, Mohamed, 2021. "A finite control set model predictive control scheme for single-phase grid-connected inverters," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
    14. Chen, Geng & Tang, Lihua & Mace, Brian & Yu, Zhibin, 2021. "Multi-physics coupling in thermoacoustic devices: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 146(C).
    15. Ding, Xiaofeng & Guo, Hong & Xiong, Rui & Chen, Feida & Zhang, Donghuai & Gerada, Chris, 2017. "A new strategy of efficiency enhancement for traction systems in electric vehicles," Applied Energy, Elsevier, vol. 205(C), pages 880-891.
    16. Gobbi, Massimiliano & Sattar, Aqeab & Palazzetti, Roberto & Mastinu, Gianpiero, 2024. "Traction motors for electric vehicles: Maximization of mechanical efficiency – A review," Applied Energy, Elsevier, vol. 357(C).
    17. Feng, Liyun & Sun, Xiaodong & Bramerdorfer, Gerd & Zhu, Zhen & Cai, Yingfeng & Diao, Kaikai & Chen, Long, 2024. "A review on control techniques of switched reluctance motors for performance improvement," Renewable and Sustainable Energy Reviews, Elsevier, vol. 199(C).
    18. Wang, Zhenzhen & Zhou, Jun & Rizzoni, Giorgio, 2022. "A review of architectures and control strategies of dual-motor coupling powertrain systems for battery electric vehicles," Renewable and Sustainable Energy Reviews, Elsevier, vol. 162(C).
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