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Numerical Analysis Research for Evaluating the Energy Efficiency of Electric Vehicles

전기자동차 에너지효율 평가를 위한 수치해석 연구

  • 최민기 (한양사이버대학교 기계자동차공학부)
  • Received : 2023.09.20
  • Accepted : 2023.12.04
  • Published : 2024.03.31

Abstract

This paper is a numerical analysis study for evaluating the energy efficiency of electric vehicles. Currently, the methods for testing and evaluating the energy consumption efficiency of electric vehicles have limitations such as resources and time. Therefore, there is a need for research on developing models to predict the energy consumption efficiency of electric vehicles. In this study, a numerical analysis research is conducted to predict the energy efficiency of electric vehicles using a vehicle dynamics numerical analysis model. To validate the accuracy of the simulation model, it is compared the results of dynamometer tests with the simulation results and used the Unified Diagnostic Services (UDS) protocol to acquire internal data from the electric vehicle. It is ensured the reliability of the simulation model by comparing data such as motor speed, battery voltage, current, state of charge (SOC), regenerative braking power generation, and total driving distance of the test vehicle with dynamometer test data and simulation model results.

Keywords

Acknowledgement

본 논문은 정부의 재원으로 한국연구재단(No.RS-2022-00165861)의 지원을 받아 수행된 연구임.

References

  1. C. Bae, "Prospects for the development of automotive power", KSAE Conference: Automotive Technology and Policy Development Roadmap, 2019.
  2. H. J. Jeon, "To seize opportunities in the U.S. ecofriendly mobility market", Korea Automotive Technology Institute, Industrial Trend, Vol. 56, 2021.
  3. Y. W. Jang and T. H. Oh, "The main contents and implications of the EU carbon reduction legislation", Korea Institute for International Economic Policy, ISSN 1976-0507, 2021.
  4. Ministry of Environment, 2030 Modification of Greenhouse Gas Reduction Roadmap, 2018.
  5. M. Lee, S. Kim and K. Kim, "A comparison of the fuel economy test method on electric vehicles (EVs)", Transactions of the Korean Hydrogen and New Energy Society, Vol. 28, No. 3, 2017, pp. 287~294.
  6. J. Kim, J. Jung and K. Rho, "Validity study on revision of constant speed cycle on electric vehicle energy efficiency test procedure in Korea", KSAE Spring Conference Proceedings, 2020.
  7. H. Song, J Choi, D. Park and N. Kim, "Evaluation of charging mileage of electric vehicle using battery module", Transactions of KSAE, Vol. 27, No. 8, 2019, pp. 645~652.
  8. K. Ahn, S. Cho, W. Lim, Y. Park and J. Lee, "Operation model of a power split hybrid electric vehicle", KSNRE Fall Conference Proceedings, 2006, pp. 547~550.
  9. Y. Baek, N. Jeon, J. Kim and H. Lee, "A study of vehicle control algorithm for fuel economy on roads with Up-down slope", KSAE Spring Conference Proceedings, 2012, pp. 913~920.
  10. J. Yeon, D. Park, H. Sung, J. Kim, Y. Lim and N. Kim, "Simulation model development and validation based on test data for evaluating the driving range performance of battery electric vehicle", KSAE Spring Conference Proceedings, 2023, pp. 112~112.
  11. J. Yeon, D. Park, Y. Lee, H. Sung, Y. Lim, J. Lee and N. Kim, "Prediction of Driving Range of Electric Vehicle Based on Simulation: Focusing on the IONIQ5", Transactions of KSAE, Vol. 31, No. 4, 2023, pp. 275~282.
  12. J. Song and J. Cha, "Analysis of driving dynamics considering driving resistances in on-road driving", Energies, Vol. 14, No. 12, 2021, pp. 3408.
  13. J, Seo, J, Jang, Y. Choi, S. Park, Y. Oh and J. Youn, "Development of parallel HEV powertrain control model based on fuzzy-logic", KSAE Spring Conference Proceedings, 2018, pp. 108.
  14. Surface Vehicle Recommended Practice, "Rolling resistance measurement procedure for passenger car, light truck, and highway truck and bus tires", SAE Technical paper, 1979.
  15. Surface Vehicle Recommended Practice, "Stepwise coastdown methodology for measuring tire rolling resistance", SAE Technical paper, 2017.