Research Article
BibTex RIS Cite

Comparative Analysis of Electric Vehicle Energy Consumption in Urban and Highway Environments Using CAN-Based Data Collection

Year 2025, Volume: 5 Issue: 1st Future of Vehicles Conf., 8 - 13, 28.12.2025
https://doi.org/10.64808/engineeringperspective.1795030

Abstract

This study presents a comparative analysis of the energy consumption characteristics of Volkswagen Golf equipped with an electric powertrain in urban and interurban (highway) driving environments. The primary objective of the research is to determine which traffic context offers more favorable operating conditions in terms of energy efficiency for this vehicle category. Special emphasis is placed on the role of regenerative braking, particularly in urban traffic characterized by frequent acceleration and deceleration cycles, which may significantly influence the vehicle’s specific energy consumption through energy recovery mechanisms. The measurement data were recorded under real-world traffic conditions along two representative routes: a highway section between Zalaegerszeg and Keszthely, and the urban road network within Zalaegerszeg. During data collection, vehicle parameters extracted from the CAN network—including brake pressure, speed, accelerator pedal position, drivetrain power, battery voltage and current, state of charge, as well as longitudinal and lateral acceleration—were recorded using a custom program developed in Simulink and a Kvaser CAN logger device. The goal of the analysis is to compare the energy efficiency indicators of the two driving profiles and to draw conclusions, based on the recorded data, about the real-world efficiency of electric vehicle operation in urban settings. The findings may contribute to the optimization of operational strategies for electric vehicles and serve as a foundation for future large-scale investigations.

References

  • 1. Eurostat. (2025). New zero-emission vehicles by type of vehicle and type of motor energy (road_eqr_zev) [Data set]. https://doi.org/10.2908/ROAD_EQR_ZEV
  • 2. de Palma, A., et al. (2025). Meeting the European Union’s zero-CO₂-emissions target for cars in France. Transportation Research Part A, 199, 104531. https://doi.org/10.1016/j.tra.2025.104531
  • 3. Albatayneh, A., Assaf, M. N., Alterman, D., & Jaradat, M. (2020). Comparison of the overall energy efficiency for internal combustion engine vehicles and electric vehicles. Environmental and Climate Technologies, 24(1), 669–680. https://doi.org/10.2478/rtuect-2020-0041
  • 4. Chinthoju, P. K., Vashishta, R. S., & Jagirdar, R. (2025). Powering the future: A global analysis of well-to-wheel efficiency in electric vehicles. Journal of Engineering Research and Reports, 27(4), 399–410. https://doi.org/10.9734/jerr/2025/v27i41482
  • 5. Szumska, E. M. (2025). Regenerative Braking Systems in Electric Vehicles: A Comprehensive Review of Design, Control Strategies, and Efficiency Challenges. Energies, 18(10), 2422. https://doi.org/10.3390/en18102422
  • 6. Anh, N. T., Chen, C.-K., & Liu, X. (2024). An efficient regenerative braking system for electric vehicles based on a fuzzy control strategy. Vehicles, 6(3), 1496–1512. https://doi.org/10.3390/vehicles6030071
  • 7. Yin, Z., Ma, X., Su, R., Huang, Z., & Zhang, C. (2023). Regenerative braking of electric vehicles based on fuzzy control strategy. Processes, 11(10). https://doi.org/10.3390/pr11102985
  • 8. Muhamad, R. M. R., & Saiful, A. B. A. B. (2024). Simulation study on regenerative braking system in electric vehicle (EV). Journal of Transport System Engineering, 11(2), 1–6. https://doi.org/10.11113/jtse.v11.208
  • 9. Berjoza, D., Pirs, V., & Jurgena, I. (2022). Research into the regenerative braking of an electric car in urban driving. World Electric Vehicle Journal, 13(11). https://doi.org/10.3390/wevj13110202
  • 10. Kropiwnicki, J., & Gawłas, T. (2023). Estimation of the regenerative braking process efficiency in electric vehicles. Acta Mechanica et Automatica, 17(2), 303–310. https://doi.org/10.2478/ama-2023-0035
  • 11. Van Sterkenburg, S., Rietveld, E., Rieck, F., Veenhuizen, B., & Bosma, H. (2011). Analysis of regenerative braking efficiency: A case study of two electric vehicles operating in the Rotterdam area. 2011 IEEE Vehicle Power and Propulsion Conference (VPPC). https://doi.org/10.1109/VPPC.2011.6043109
  • 12. Haidar, F., Laıb, A., Ajwad, S. A., Guılbert, G. (2024). Integrated Vehicle Dynamics Modeling, Path Tracking, and Simulation: A MATLAB Implementation Approach. Engineering Perspective, 4(1), 7-16. https://doi.org/10.29228/eng.pers.75106
  • 13. Al-Wreikat, Y., Serrano, C., & Sodré, J. R. (2021). Driving behaviour and trip condition effects on the energy consumption of an electric vehicle under real-world driving. Applied Energy, 297, 117096. https://doi.org/10.1016/j.apenergy.2021.117096
  • 14. Szürke, S. K., Sütheö, G., Őri, P., & Lakatos, I. (2024). Self-diagnostic opportunities for battery systems in electric and hybrid vehicles. Machines, 12(5). https://doi.org/10.3390/machines12050324
  • 15. Wu, X., Freese, D., Cabrera, A., & Kitch, W. A. (2015). Electric vehicles’ energy consumption measurement and estimation. Transportation Research Part D: Transport and Environment, 34, 52–67. https://doi.org/10.1016/j.trd.2014.10.007
  • 16. Zhang, R., & Yao, E. (2015). Electric vehicles’ energy consumption estimation with real driving condition data. Transportation Research Part D: Transport and Environment, 41, 177–187. https://doi.org/10.1016/j.trd.2015.10.010
  • 17. Shen, H., et al. (2022). Electric vehicle energy consumption estimation with consideration of longitudinal slip ratio and machine-learning-based powertrain efficiency. IFAC-PapersOnLine, 158–163. https://doi.org/10.1016/j.ifacol.2022.11.177
There are 17 citations in total.

Details

Primary Language English
Subjects Hybrid and Electric Vehicles and Powertrains
Journal Section Research Article
Authors

Norbert Simon

Richard Peszleg 0009-0000-3436-0782

Submission Date October 2, 2025
Acceptance Date November 25, 2025
Early Pub Date December 16, 2025
Publication Date December 28, 2025
Published in Issue Year 2025 Volume: 5 Issue: 1st Future of Vehicles Conf.

Cite

APA Simon, N., & Peszleg, R. (2025). Comparative Analysis of Electric Vehicle Energy Consumption in Urban and Highway Environments Using CAN-Based Data Collection. Engineering Perspective, 5(1st Future of Vehicles Conf.), 8-13. https://doi.org/10.64808/engineeringperspective.1795030