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Statistical Analysis of the Interdependence between the Technical and Functional Parameters of Electric Vehicles in the European Market

Author

Listed:
  • Florin Mariasiu

    (Automotive Engineering and Transports Department, Technical University of Cluj-Napoca, 400114 Cluj-Napoca, Romania)

  • Ioan Aurel Chereches

    (Automotive Engineering and Transports Department, Technical University of Cluj-Napoca, 400114 Cluj-Napoca, Romania)

  • Horia Raboca

    (PACS Faculty, Babes-Bolyai University of Cluj-Napoca, 71 General Traian Mosoiu St., 400347 Cluj-Napoca, Romania)

Abstract

The vehicle market at the European level (and also elsewhere) has registered a high dynamic for the adoption of electric vehicles as the future means of transport. Government policies and decisions fully support this move, but there are still massive barriers to entry into the EV market due to consumer attitudes and perceptions. Consumer attitudes and perceptions will be decisive in the market success of future electric vehicle models, given that consumers are particularly interested in the vehicles’ technical and dynamic performance. The pressure from customers’ demands for performance leaves its mark not only on the increase of performance and technical parameters, but directly contributes to the generation of interdependence between these parameters. This article presents a comparative statistical analysis of 203 electric vehicle models (from various construction categories), present in the European vehicle market (between the years 2019 and 2022), to highlight the direct and indirect links (interdependencies) between technical and performance parameters depending on the constructive class (type). The goal of this article is to determine whether there is a relationship between the three key performance metrics for electric vehicles—autonomy, top speed, and acceleration—and five significant technical/constructive metrics for these vehicles—battery capacity, energy efficiency, electric motor power, fast charging speed, and vehicle weight (brand and year of availability in the market). Based on the analyzed data, it can be stated that the design and construction of an electric vehicle model currently takes into account both performance and technical parameters, with a strong link between the weight of the vehicle and the energy capacity of the battery (+0.687) being highlighted and also the relationship between autonomy and vehicle weight (+0.355). The conclusions of this study can be used in the future by manufacturers for the development of new models of electric vehicles (new generic platforms and chassis) by classifying/standardizing these vehicles into specific classes, corresponding to the requirements of different classes of consumers or identifying constructive solutions specific to each type of consumer.

Suggested Citation

  • Florin Mariasiu & Ioan Aurel Chereches & Horia Raboca, 2023. "Statistical Analysis of the Interdependence between the Technical and Functional Parameters of Electric Vehicles in the European Market," Energies, MDPI, vol. 16(7), pages 1-22, March.
  • Handle: RePEc:gam:jeners:v:16:y:2023:i:7:p:2974-:d:1106587
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    References listed on IDEAS

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    1. Phasiri Manutworakit & Kasem Choocharukul, 2022. "Factors Influencing Battery Electric Vehicle Adoption in Thailand—Expanding the Unified Theory of Acceptance and Use of Technology’s Variables," Sustainability, MDPI, vol. 14(14), pages 1-16, July.
    2. Ewelina Sendek-Matysiak & Dariusz Pyza & Zbigniew Łosiewicz & Wojciech Lewicki, 2022. "Total Cost of Ownership of Light Commercial Electrical Vehicles in City Logistics," Energies, MDPI, vol. 15(22), pages 1-23, November.
    3. Yue Wang & Yang Wen & Yingying Xu & Lei Shi & Xuan Yang, 2022. "Health Benefits Quantification for New-Energy Vehicles Promotion: A Case Study of Beijing," IJERPH, MDPI, vol. 19(21), pages 1-12, October.
    4. Jasmine Lee & Sadie Costello & John R. Balmes & Stephanie M. Holm, 2022. "The Association between Ambient PM 2.5 and Low Birth Weight in California," IJERPH, MDPI, vol. 19(20), pages 1-10, October.
    5. Hao Qiang & Yanchun Hu & Wenqi Tang & Xiaohua Zhang, 2023. "Research on Optimization Strategy of Battery Swapping for Electric Taxis," Energies, MDPI, vol. 16(5), pages 1-15, February.
    6. Piotr Wróblewski & Wojciech Lewicki, 2021. "A Method of Analyzing the Residual Values of Low-Emission Vehicles Based on a Selected Expert Method Taking into Account Stochastic Operational Parameters," Energies, MDPI, vol. 14(21), pages 1-24, October.
    7. Ziwen Ling & Christopher R. Cherry & Yi Wen, 2021. "Determining the Factors That Influence Electric Vehicle Adoption: A Stated Preference Survey Study in Beijing, China," Sustainability, MDPI, vol. 13(21), pages 1-22, October.
    8. Anna Mainka & Magdalena Żak, 2022. "Synergistic or Antagonistic Health Effects of Long- and Short-Term Exposure to Ambient NO 2 and PM 2.5 : A Review," IJERPH, MDPI, vol. 19(21), pages 1-20, October.
    9. Chun Yang & Jui-Che Tu & Qianling Jiang, 2020. "The Influential Factors of Consumers’ Sustainable Consumption: A Case on Electric Vehicles in China," Sustainability, MDPI, vol. 12(8), pages 1-16, April.
    10. Elango Sangeetha & Vijayapriya Ramachandran, 2022. "Different Topologies of Electrical Machines, Storage Systems, and Power Electronic Converters and Their Control for Battery Electric Vehicles—A Technical Review," Energies, MDPI, vol. 15(23), pages 1-28, November.
    11. Ataur Rahman & Kyaw Myo Aung & Sany Ihsan & Raja Mazuir Raja Ahsan Shah & Mansour Al Qubeissi & Mohannad T. Aljarrah, 2023. "Solar Energy Dependent Supercapacitor System with ANFIS Controller for Auxiliary Load of Electric Vehicles," Energies, MDPI, vol. 16(6), pages 1-23, March.
    12. Marko Emanović & Martina Jakara & Danijela Barić, 2022. "Challenges and Opportunities for Future BEVs Adoption in Croatia," Sustainability, MDPI, vol. 14(13), pages 1-18, July.
    13. Renjie Wang & Yuanyuan Song & Honglei Xu & Yue Li & Jie Liu, 2022. "Life Cycle Assessment of Energy Consumption and CO 2 Emission from HEV, PHEV and BEV for China in the Past, Present and Future," Energies, MDPI, vol. 15(18), pages 1-16, September.
    14. Hui Pang & Fengqi Zhang, 2018. "Experimental Data-Driven Parameter Identification and State of Charge Estimation for a Li-Ion Battery Equivalent Circuit Model," Energies, MDPI, vol. 11(5), pages 1-14, April.
    15. May Tran Thi & Chulsoo Kim & Seokhun Kwon & Hyunil Kang & Jang Myoun Ko & Junghyun Kim & Wonseok Choi, 2023. "Investigation of the Properties of Anode Electrodes for Lithium–Ion Batteries Manufactured Using Cu, and Si-Coated Carbon Nanowall Materials," Energies, MDPI, vol. 16(4), pages 1-14, February.
    16. Lévay, Petra Zsuzsa & Drossinos, Yannis & Thiel, Christian, 2017. "The effect of fiscal incentives on market penetration of electric vehicles: A pairwise comparison of total cost of ownership," Energy Policy, Elsevier, vol. 105(C), pages 524-533.
    17. Jun Yuan & Zhili Qin & Haikun Huang & Xingdong Gan & Shuguang Li & Baihai Li, 2023. "State of Health Estimation and Remaining Useful Life Prediction for a Lithium-Ion Battery with a Two-Layer Stacking Regressor," Energies, MDPI, vol. 16(5), pages 1-15, February.
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    1. Urbánová Mária & Čeryová Dominika & Benďáková Viktória & Husárová Patrícia, 2023. "Electric Vehicles from an Economic Point of View," Economics and Culture, Sciendo, vol. 20(1), pages 102-113, June.

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