IEMEK Journal of Embedded Systems and Applications (대한임베디드공학회논문지)

Institute of Embedded Engineering of Korea (대한임베디드공학회)
권호 표지
DOI QR코드

DOI QR Code

Battery Response Characteristics According to System Modeling and Driving Environment of Electric Vehicles

전기자동차 시스템 모델링 및 주행 환경에 따른 배터리 응답 특성 연구

  • Received : 2022.01.10
  • Accepted : 2022.03.15
  • Published : 2022.04.30
Download PDF
⟨ Previous Next ⟩

Abstract

Currently, various researches on electric vehicle battery systems have been conducted from the viewpoint of safety and performance for SoC, SoH, etc. However, it is difficult to build a precise electrical model of a battery system based on the chemical reaction and SoC prediction. Experimental measurements and predictions of the battery SoC were usually performed using dynamometers. In this paper, we construct a simulation model of an electric vehicle system using Matlab Simulink, and confirm the response characteristics based on the vehicle test driving profiles. In addition, we show that it is possible to derive the correlation between the SoC, voltage, and current of the battery according to the driving time of the electric vehicle in conjunction with the BMS model.

Keywords

Acknowledgement

본 논문은 한국교통안전공단 첨단자동차검사연구센터 첨단연구개발처, 및 신한대학교 학술연구비에서 지원하여 연구하였음.

References

  1. H. Ham, K. Han, H. Lee, "Battery System Modeling for Military Hybrid Electric Vehicle with Fault Simulation," Energies, Vol. 6, pp. 5168-5181. 2013 https://doi.org/10.3390/en6105168
  2. S. J. Jung and J. W. Hur. "Deep Learning Approaches to RUL Prediction of Lithium-Ion Batteries." The Korean Society of Manufacturing Process Engineers. The Korean Society of Manufacturing Process Engineers, Vol. 19, No. 12, pp. 21-27, 2020 (in Korean).
  3. T. H. Kwon, J. W. Lee, D. M. Ahn, J. K. Ji, "Design of Battery Management Systems by Modelling," The Korean Institute of Power Electronics Conference, pp. 101-102, 2021 (in Korean).
  4. B. JIANG, "Active Cell Balancing Algorithms in Lithium-ion Battery," Thesis in Science, Chalmers University of Technology, 2020.
  5. I. S. Kim, "The Research on the Modeling and Parameter Optimization of the EV Battery," The Transactions of the Korean Institute of Power Electronics, Vol. 25, No. 3, pp. 227-234, 2020 (in Korean). https://doi.org/10.6113/TKPE.2020.25.3.227
  6. G. M. Park, S. H. Lee, S. H. Jin, S. H. Kwak, "Modeling and Dynamic Analysis for Electric Vehicle Powertrain Systems," The Institute of Electronics and Information Engineers, Vol. 48, No. 6, pp. 71-81, 2011 (in Korean).
  7. J. S. Kim, "ABS Sliding Mode Control considering Optimum Road Friction Force of Tyre," Journal of the Korean Society of Automotive Engineers, Vol. 21, No. 1, pp. 78-85, 2013 (in Korean). https://doi.org/10.7467/KSAE.2013.21.1.078
  8. H. S. Yun, J. H. Lee, B. H. Cho, "Modeling of 36V Lead Acid Battery for the 42V Automotive System Simulation," Proceedings of the Korean Institute of Power Electronics, pp. 205-208, 2004.
  9. C. Piao, Q. Yu, C. Duan, L. Su, Y. Zhang, "Virtual Environment Modeling for Battery Management System," Vol. 9, No. 5, pp. 1729-1738, 2014. https://doi.org/10.5370/JEET.2014.9.5.1729
  10. https://www.epa.gov/vehicle-and-fuel-emissions-testing/dynamometer-drive-schedules