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Implementation of Optimized Regenerative Braking in Energy Efficient Driving Strategies

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  • Zoltán Pusztai

    (Vehicle Industry Research Center, Széchenyi István University, 9026 Győr, Hungary)

  • Péter Kőrös

    (Vehicle Industry Research Center, Széchenyi István University, 9026 Győr, Hungary)

  • Ferenc Szauter

    (Vehicle Industry Research Center, Széchenyi István University, 9026 Győr, Hungary)

  • Ferenc Friedler

    (Vehicle Industry Research Center, Széchenyi István University, 9026 Győr, Hungary)

Abstract

In this paper, determination of optimized regenerative braking-torque function and application in energy efficient driving strategies is presented. The study investigates a lightweight electric vehicle developed for the Shell Eco-Marathon. The measurement-based simulation model was implemented in the MATLAB/Simulink environment and used to establish the optimization. The optimization of braking-torque function was performed to maximize the recuperated energy. The determined braking-torque function was applied in a driving strategy optimization framework. The extended driving strategy optimization model is suitable for energy consumption minimization in a designated track. The driving strategy optimization was created for the TT Circuit Assen, where the 2022 Shell Eco-Marathon competition was hosted. The extended optimization resulted in a 2.97% improvement in energy consumption when compared to the result previously achieved, which shows the feasibility of the proposed methodology and optimization model.

Suggested Citation

  • Zoltán Pusztai & Péter Kőrös & Ferenc Szauter & Ferenc Friedler, 2023. "Implementation of Optimized Regenerative Braking in Energy Efficient Driving Strategies," Energies, MDPI, vol. 16(6), pages 1-20, March.
  • Handle: RePEc:gam:jeners:v:16:y:2023:i:6:p:2682-:d:1096076
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    References listed on IDEAS

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    1. Pietro Stabile & Federico Ballo & Gianpiero Mastinu & Massimiliano Gobbi, 2021. "An Ultra-Efficient Lightweight Electric Vehicle—Power Demand Analysis to Enable Lightweight Construction," Energies, MDPI, vol. 14(3), pages 1-18, February.
    2. Árpád Tóth & Cecília Szigeti & Alex Suta, 2021. "Carbon Accounting Measurement with Digital Non-Financial Corporate Reporting and a Comparison to European Automotive Companies Statements," Energies, MDPI, vol. 14(18), pages 1-18, September.
    3. Ku, Donggyun & Choi, Minje & Yoo, Nakyoung & Shin, Seungheon & Lee, Seungjae, 2021. "A new algorithm for eco-friendly path guidance focused on electric vehicles," Energy, Elsevier, vol. 233(C).
    4. Julius Partridge & Dina Ibrahim Abouelamaimen, 2019. "The Role of Supercapacitors in Regenerative Braking Systems," Energies, MDPI, vol. 12(14), pages 1-15, July.
    5. Yang Yang & Qiang He & Yongzheng Chen & Chunyun Fu, 2020. "Efficiency Optimization and Control Strategy of Regenerative Braking System with Dual Motor," Energies, MDPI, vol. 13(3), pages 1-21, February.
    6. Nikita V. Martyushev & Boris V. Malozyomov & Ilham H. Khalikov & Viktor Alekseevich Kukartsev & Vladislav Viktorovich Kukartsev & Vadim Sergeevich Tynchenko & Yadviga Aleksandrovna Tynchenko & Mengxu , 2023. "Review of Methods for Improving the Energy Efficiency of Electrified Ground Transport by Optimizing Battery Consumption," Energies, MDPI, vol. 16(2), pages 1-39, January.
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