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A review of direct torque control of induction motors for sustainable reliability and energy efficient drives

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  • Sutikno, Tole
  • Idris, Nik Rumzi Nik
  • Jidin, Auzani

Abstract

The first and the most important step in solving the environmental problems created by cars with internal combustion engines is research and development of electric vehicles. Selection of a proper drive and optimal control strategy of electric vehicles are the major factors to obtain optimal energy management in order to extend the running distance per battery charge. This paper presents a brief review of direct torque control (DTC) of induction motors (IM) as well as its implementation for electric vehicle (EV) applications. First, the basic DTC technique based on hysteresis controllers will be introduced, and then an overview of the major problems in a basic DTC scheme will be presented and explained, as well as some efforts for improving the technique. The main section presents a critical review of DTC for EV applications, taking into consideration the vehicle mechanics and aerodynamics of electric vehicles. The review is very important to provide guidelines and insights for future research and development on the DTC of IM drives for sustainable reliability and energy efficient EV applications.

Suggested Citation

  • Sutikno, Tole & Idris, Nik Rumzi Nik & Jidin, Auzani, 2014. "A review of direct torque control of induction motors for sustainable reliability and energy efficient drives," Renewable and Sustainable Energy Reviews, Elsevier, vol. 32(C), pages 548-558.
    • Handle: RePEc:eee:rensus:v:32:y:2014:i:c:p:548-558
    DOI: 10.1016/j.rser.2014.01.040
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    References listed on IDEAS

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    1. Alsofyani, Ibrahim M. & Idris, N.R.N., 2013. "A review on sensorless techniques for sustainable reliablity and efficient variable frequency drives of induction motors," Renewable and Sustainable Energy Reviews, Elsevier, vol. 24(C), pages 111-121.
    2. Tie, Siang Fui & Tan, Chee Wei, 2013. "A review of energy sources and energy management system in electric vehicles," Renewable and Sustainable Energy Reviews, Elsevier, vol. 20(C), pages 82-102.
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    Cited by:

    1. Abderrazek Saoudi & Saber Krim & Mohamed Faouzi Mimouni, 2021. "Enhanced Intelligent Closed Loop Direct Torque and Flux Control of Induction Motor for Standalone Photovoltaic Water Pumping System," Energies, MDPI, vol. 14(24), pages 1-21, December.
    2. Hannan, M.A. & Ali, Jamal A. & Mohamed, Azah & Hussain, Aini, 2018. "Optimization techniques to enhance the performance of induction motor drives: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 1611-1626.
    3. Jannati, Mohammad & Anbaran, Sajad Abdollahzadeh & Asgari, Seyed Hesam & Goh, Wee Yen & Monadi, Ali & Aziz, Mohd Junaidi Abdul & Idris, Nik Rumzi Nik, 2017. "A review on Variable Speed Control techniques for efficient control of Single-Phase Induction Motors: Evolution, classification, comparison," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 1306-1319.
    4. Gao, Bingzhao & Meng, Dele & Shi, Wentong & Cai, Wenqi & Dong, Shiying & Zhang, Yuanjian & Chen, Hong, 2022. "Topology optimization and the evolution trends of two-speed transmission of EVs," Renewable and Sustainable Energy Reviews, Elsevier, vol. 161(C).
    5. Carunaiselvane, C. & Chelliah, Thanga Raj, 2017. "Present trends and future prospects of asynchronous machines in renewable energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 74(C), pages 1028-1041.
    6. Manzetti, Sergio & Mariasiu, Florin, 2015. "Electric vehicle battery technologies: From present state to future systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 51(C), pages 1004-1012.
    7. Xiaoli Sun & Zhengguo Li & Xiaolin Wang & Chengjiang Li, 2019. "Technology Development of Electric Vehicles: A Review," Energies, MDPI, vol. 13(1), pages 1-29, December.
    8. Trianni, Andrea & Cagno, Enrico & Accordini, Davide, 2019. "Energy efficiency measures in electric motors systems: A novel classification highlighting specific implications in their adoption," Applied Energy, Elsevier, vol. 252(C), pages 1-1.
    9. Yang, Zhile & Li, Kang & Foley, Aoife, 2015. "Computational scheduling methods for integrating plug-in electric vehicles with power systems: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 51(C), pages 396-416.

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