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Real-Time Implementation and Control of Multi-Source Electric Vehicle Traction Motor under Various Drive Conditions

Author

Listed:
  • Achikkulath Prasanthi

    (Department of Electrical and Communication Engineering, United Arab Emirates University, Al Ain P.O. Box 15551, United Arab Emirates)

  • Hussain Shareef

    (Department of Electrical and Communication Engineering, United Arab Emirates University, Al Ain P.O. Box 15551, United Arab Emirates
    Emirates Center for Mobility Research, United Arab Emirates University, Al Ain P.O. Box 15551, United Arab Emirates)

  • Rachid Errouissi

    (Department of Electrical and Communication Engineering, United Arab Emirates University, Al Ain P.O. Box 15551, United Arab Emirates)

  • Madathodika Asna

    (Department of Electrical and Communication Engineering, United Arab Emirates University, Al Ain P.O. Box 15551, United Arab Emirates)

  • Addy Wahyudie

    (Department of Electrical and Communication Engineering, United Arab Emirates University, Al Ain P.O. Box 15551, United Arab Emirates)

Abstract

The hybridization of multiple energy sources is crucial for electric vehicles to deliver the same performance as modern fossil fuel-based automobiles. This paper presents a torque and speed control strategy for an electric vehicle DC traction motor by regulating the power flow from two energy sources, namely battery and supercapacitor systems, to resist unpredictable disturbances. A control system with three control loops is applied to regulate the speed of the traction motor. The outer speed control loop is a nonlinear state feedback controller with a disturbance observer, which is capable of handling non-linear systems with unpredictable disturbances. The inner voltage and current control loop are precisely tuned PI controllers. Using an adaptive energy management method that varies depending on the state of charge of the source, the total reference current needed to support the load demand is split between two sources. A laboratory prototype system model is generated, and the performance is analyzed under motoring and regenerative braking conditions. For monitoring and controlling the system, the dSPACE DS1202 real-time simulator is employed. The performance of the proposed control system is evaluated and it is found that the settling time to settle within a tolerance band of 1% is 0.75 s.

Suggested Citation

  • Achikkulath Prasanthi & Hussain Shareef & Rachid Errouissi & Madathodika Asna & Addy Wahyudie, 2023. "Real-Time Implementation and Control of Multi-Source Electric Vehicle Traction Motor under Various Drive Conditions," Energies, MDPI, vol. 16(18), pages 1-31, September.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:18:p:6447-:d:1234173
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    References listed on IDEAS

    as
    1. Adel Oubelaid & Hisham Alharbi & Abdullah S. Bin Humayd & Nabil Taib & Toufik Rekioua & Sherif S. M. Ghoneim, 2022. "Fuzzy-Energy-Management-Based Intelligent Direct Torque Control for a Battery—Supercapacitor Electric Vehicle," Sustainability, MDPI, vol. 14(14), pages 1-20, July.
    2. Eduardo Hernández-Márquez & José Rafael García-Sánchez & Ramón Silva-Ortigoza & Mayra Antonio-Cruz & Victor Manuel Hernández-Guzmán & Hind Taud & Mariana Marcelino-Aranda, 2018. "Bidirectional Tracking Robust Controls for a DC/DC Buck Converter-DC Motor System," Complexity, Hindawi, vol. 2018, pages 1-10, August.
    3. Jesús U. Liceaga-Castro & Irma I. Siller-Alcalá & Jorge Jaimes-Ponce & Roberto A. Alcántara-Ramírez & Enrique Arévalo Zamudio, 2017. "Identification and Real Time Speed Control of a Series DC Motor," Mathematical Problems in Engineering, Hindawi, vol. 2017, pages 1-11, March.
    Full references (including those not matched with items on IDEAS)

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