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Evaluating Vehicle Energy Efficiency in Urban Transport Systems Based on Fuzzy Logic Models

Author

Listed:
  • Vasyl Mateichyk

    (Department of Technical Systems Engineering, Rzeszow University of Technology, al. Powstancow Warszawy 10, 35-959 Rzeszow, Poland)

  • Nataliia Kostian

    (Department of Automobiles and Technologies for their Operating, Cherkasy State Technological University, Shevchenko 333, 18006 Cherkasy, Ukraine)

  • Miroslaw Smieszek

    (Department of Technical Systems Engineering, Rzeszow University of Technology, al. Powstancow Warszawy 10, 35-959 Rzeszow, Poland)

  • Jakub Mosciszewski

    (Department of Technical Systems Engineering, Rzeszow University of Technology, al. Powstancow Warszawy 10, 35-959 Rzeszow, Poland)

  • Liudmyla Tarandushka

    (Department of Automobiles and Technologies for their Operating, Cherkasy State Technological University, Shevchenko 333, 18006 Cherkasy, Ukraine)

Abstract

This work solves the task of developing a fuzzy logic model for evaluating the energy efficiency of vehicles as part of the control unit of an intelligent transport system. Within the scope of this study, the previously obtained morphological model of the transport system was modified. A mathematical dependence is proposed to determine the vehicle energy efficiency indicator. This dependence characterizes the energy consumption of the vehicle in relation to the energy consumption of the vehicle under the reference operating conditions. Synthesis of system configurations was performed, and procedures were used to transform the morphological formulas of the received configurations into a base of logical derivation rules. Parameters of the membership functions of system parameters to fuzzy terms of the area of their definition are defined. Based on the results of the morphological analysis, two fuzzy derivation models were developed: the Mamdani type and the Sugeno type. The accuracy of the modeling was evaluated using different defuzzification algorithms in the control sample. The most accurate model is the fuzzy Mamdani model, with an accuracy value of 98.8%. Using the developed model, the nature of the mutual influence of the transport system parameters on the level of vehicle efficiency was assessed. The results of the study can be used to justify the choice of the vehicle under the specified operating conditions and in the settlement design of the road infrastructure.

Suggested Citation

  • Vasyl Mateichyk & Nataliia Kostian & Miroslaw Smieszek & Jakub Mosciszewski & Liudmyla Tarandushka, 2023. "Evaluating Vehicle Energy Efficiency in Urban Transport Systems Based on Fuzzy Logic Models," Energies, MDPI, vol. 16(2), pages 1-22, January.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:2:p:734-:d:1028930
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    References listed on IDEAS

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    1. Anas Lahlou & Florence Ossart & Emmanuel Boudard & Francis Roy & Mohamed Bakhouya, 2020. "A Real-Time Approach for Thermal Comfort Management in Electric Vehicles," Energies, MDPI, vol. 13(15), pages 1-22, August.
    2. Krzysztof Brzozowski & Artur Ryguła & Andrzej Maczyński, 2021. "An Integrated System for Simultaneous Monitoring of Traffic and Pollution Concentration—Lessons Learned for Bielsko-Biała, Poland," Energies, MDPI, vol. 14(23), pages 1-18, December.
    3. Gian Luca Patrone & Elena Paffumi & Marcos Otura & Mario Centurelli & Christian Ferrarese & Steffen Jahn & Andreas Brenner & Bernd Thieringer & Daniel Braun & Thomas Hoffmann, 2022. "Assessing the Energy Consumption and Driving Range of the QUIET Project Demonstrator Vehicle," Energies, MDPI, vol. 15(4), pages 1-21, February.
    4. Miroslaw Śmieszek & Nataliia Kostian & Vasyl Mateichyk & Jakub Mościszewski & Liudmyla Tarandushka, 2021. "Determination of the Model Basis for Assessing the Vehicle Energy Efficiency in Urban Traffic," Energies, MDPI, vol. 14(24), pages 1-18, December.
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    Cited by:

    1. Artur Jaworski & Vasyl Mateichyk & Hubert Kuszewski & Maksymilian Mądziel & Paweł Woś & Bożena Babiarz & Mirosław Śmieszek & Sławomir Porada, 2023. "Towards Cleaner Cities: An Analysis of the Impact of Bus Fleet Decomposition on PM and NO X Emissions Reduction in Sustainable Public Transport," Energies, MDPI, vol. 16(19), pages 1-18, October.
    2. Vasyl Mateichyk & Nataliia Kostian & Miroslaw Smieszek & Igor Gritsuk & Valerii Verbovskyi, 2023. "Review of Methods for Evaluating the Energy Efficiency of Vehicles with Conventional and Alternative Power Plants," Energies, MDPI, vol. 16(17), pages 1-25, August.

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