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An Intensified Marine Predator Algorithm (MPA) for Designing a Solar-Powered BLDC Motor Used in EV Systems

Author

Listed:
  • Rajesh Kanna Govindhan Radhakrishnan

    (Department of EEE, Kalasalingam Academy of Research & Education, Virudhunagar 626125, Tamil Nadu, India)

  • Uthayakumar Marimuthu

    (Department of Automobile Engineering, Kalasalingam Academy of Research & Education, Virudhunagar 626125, Tamil Nadu, India
    Faculty of Mechanical Engineering & Technology, University Malaysia Perlis (UniMAP), Arau 02600, Perlis, Malaysia)

  • Praveen Kumar Balachandran

    (Department of EEE, Vardhaman College of Engineering, Hyderabad 501218, Telangana, India)

  • Abdul Majid Mohd Shukry

    (Faculty of Mechanical Engineering & Technology, University Malaysia Perlis (UniMAP), Arau 02600, Perlis, Malaysia)

  • Tomonobu Senjyu

    (Faculty of Engineering, University of the Ryukyus, Okinawa 903-0213, Japan)

Abstract

Recently, due to rapid growth in electric vehicle motors, used and power electronics have received a lot of concerns. 3ϕ induction motors and DC motors are two of the best and most researched electric vehicle (EV) motors. Developing countries have refined their solution with brushless DC (BLDC) motors for EVs. It is challenging to regulate the 3ϕ BLDC motor’s steady state, rising time, settling time, transient, overshoot, and other factors. The system may become unsteady, and the lifetime of the components may be shortened due to a break in control. The marine predator algorithm (MPA) is employed to propose an e-vehicle powered by the maximum power point tracking (MPPT) technique for photovoltaic (PV). The shortcomings of conventional MPPT techniques are addressed by the suggested approach of employing the MPA approach. As an outcome, the modeling would take less iteration to attain the initial stage, boosting the suggested system’s total performance. The PID (proportional integral derivative) is used to govern the speed of BLDC motors. The MPPT approach based on the MPA algorithm surpasses the variation in performance. In this research, the modeling of unique MPPT used in PV-based BLDC motor-driven electric vehicles is discussed. Various aspects, which are uneven sunlight, shade, and climate circumstances, play a part in the low performance in practical scenarios, highlighting the nonlinear properties of PV. The MPPT technique discussed in this paper can be used to increase total productivity and reduce the operating costs for e-vehicles based on the PV framework.

Suggested Citation

  • Rajesh Kanna Govindhan Radhakrishnan & Uthayakumar Marimuthu & Praveen Kumar Balachandran & Abdul Majid Mohd Shukry & Tomonobu Senjyu, 2022. "An Intensified Marine Predator Algorithm (MPA) for Designing a Solar-Powered BLDC Motor Used in EV Systems," Sustainability, MDPI, vol. 14(21), pages 1-27, October.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:21:p:14120-:d:957137
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    References listed on IDEAS

    as
    1. Sampath Kumar Vankadara & Shamik Chatterjee & Praveen Kumar Balachandran & Lucian Mihet-Popa, 2022. "Marine Predator Algorithm (MPA)-Based MPPT Technique for Solar PV Systems under Partial Shading Conditions," Energies, MDPI, vol. 15(17), pages 1-16, August.
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    Cited by:

    1. Gaith Baccouche & Mohamed Haikel Chehab & Chokri Ben Salah & Mehdi Tlija & Abdelhamid Rabhi, 2024. "Hybrid PVP/Battery/Fuel Cell Wireless Charging Stations Using High-Frequency Optimized Inverter Technology for Electric Vehicles," Energies, MDPI, vol. 17(14), pages 1-24, July.
    2. Ángel Adrián Orta-Quintana & Rogelio Ernesto García-Chávez & Ramón Silva-Ortigoza & Magdalena Marciano-Melchor & Miguel Gabriel Villarreal-Cervantes & José Rafael García-Sánchez & Rocío García-Cortés , 2023. "Sensorless Tracking Control Based on Sliding Mode for the “Full-Bridge Buck Inverter–DC Motor” System Fed by PV Panel," Sustainability, MDPI, vol. 15(13), pages 1-27, June.
    3. Refaat, Ahmed & Ali, Qays Adnan & Elsakka, Mohamed Mohamed & Elhenawy, Yasser & Majozi, Thokozani & Korovkin, Nikolay V. & Elfar, Medhat Hegazy, 2024. "Extraction of maximum power from PV system based on horse herd optimization MPPT technique under various weather conditions," Renewable Energy, Elsevier, vol. 220(C).

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