Research Article

MODELING THE BATTERY SYSTEM OF AN ELECTRIC VEHICLE

Volume: 22 November 29, 2019
EN TR

MODELING THE BATTERY SYSTEM OF AN ELECTRIC VEHICLE

Abstract

The automotive sector is undergoing a major change due to the increasing fuel costs and the emission problems of fossil fuel vehicles. Therefore, hybrid and electric cars began to be produced. The disadvantages of electric vehicles such as cost, low maximum-speed, high charging time are not yet completely resolved. With the development of lithium-based batteries, it has begun to be used as storage batteries in electric and hybrid vehicles. These batteries are preferred to meet the energy requirements of electrical systems in terms of performance, durability, safety and cost advantages. In this paper, the current, voltage and state of charge (SoC) graphs of a battery pack is obtained by using the simulation model of the battery and charging system used in an electric vehicle.

Keywords

References

  1. Ahmed, R., (2014). Modeling and state of charge estimation of electric vehicle batteries, (Doctoral dissertation, McMaster University).
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  4. Ehsani, M., Gao, Y., Emadi, A. (2010). Modern Electric, Hybrid Electric, and Fuel Cell Vehicles – Fundamentals, Theory, and Design, 2nd edition, CRC Press.
  5. Gadoue, S., Chen, K.W., Mitcheson, P., Yufit, V., Brandon, N. (2018). Electrochemical Impedance Spectroscopy State of Charge Measurement for Batteries using Power Converter Modulation, The 9th International Renewable Energy Congress (IREC 2018).
  6. Gandolfo, D., Brandao, A., Patino, D., Molina, M. (2015). Dynamic model of lithium polymer battery e Load resistor method for electric parameters identification, Journal of the Energy Institute, 88.
  7. Guo, D., He, L., (2018). A Novel Algorithm for SOC using Simple Iteration and Coulomb Counting Method, IEEE Student Conference on Electric Machines and Systems.
  8. Hannan, M.A., Lipu, M.S.H., Hussain A., Saad, M.H., Ayob, A. (2018). Neural Network Approach for Estimating State of Charge of Lithium-Ion Battery Using Backtracking Search Algorithm, IEEE Access, 6.

Details

Primary Language

English

Subjects

Electrical Engineering

Journal Section

Research Article

Publication Date

November 29, 2019

Submission Date

August 2, 2019

Acceptance Date

November 4, 2019

Published in Issue

Year 2019 Volume: 22

APA
Özbalcı, Ü., & Kılıç, E. (2019). MODELING THE BATTERY SYSTEM OF AN ELECTRIC VEHICLE. Kahramanmaraş Sütçü İmam Üniversitesi Mühendislik Bilimleri Dergisi, 22, 64-69. https://doi.org/10.17780/ksujes.600809
AMA
1.Özbalcı Ü, Kılıç E. MODELING THE BATTERY SYSTEM OF AN ELECTRIC VEHICLE. KSU J. Eng. Sci. 2019;22:64-69. doi:10.17780/ksujes.600809
Chicago
Özbalcı, Ümit, and Erdal Kılıç. 2019. “MODELING THE BATTERY SYSTEM OF AN ELECTRIC VEHICLE”. Kahramanmaraş Sütçü İmam Üniversitesi Mühendislik Bilimleri Dergisi 22 (November): 64-69. https://doi.org/10.17780/ksujes.600809.
EndNote
Özbalcı Ü, Kılıç E (November 1, 2019) MODELING THE BATTERY SYSTEM OF AN ELECTRIC VEHICLE. Kahramanmaraş Sütçü İmam Üniversitesi Mühendislik Bilimleri Dergisi 22 64–69.
IEEE
[1]Ü. Özbalcı and E. Kılıç, “MODELING THE BATTERY SYSTEM OF AN ELECTRIC VEHICLE”, KSU J. Eng. Sci., vol. 22, pp. 64–69, Nov. 2019, doi: 10.17780/ksujes.600809.
ISNAD
Özbalcı, Ümit - Kılıç, Erdal. “MODELING THE BATTERY SYSTEM OF AN ELECTRIC VEHICLE”. Kahramanmaraş Sütçü İmam Üniversitesi Mühendislik Bilimleri Dergisi 22 (November 1, 2019): 64-69. https://doi.org/10.17780/ksujes.600809.
JAMA
1.Özbalcı Ü, Kılıç E. MODELING THE BATTERY SYSTEM OF AN ELECTRIC VEHICLE. KSU J. Eng. Sci. 2019;22:64–69.
MLA
Özbalcı, Ümit, and Erdal Kılıç. “MODELING THE BATTERY SYSTEM OF AN ELECTRIC VEHICLE”. Kahramanmaraş Sütçü İmam Üniversitesi Mühendislik Bilimleri Dergisi, vol. 22, Nov. 2019, pp. 64-69, doi:10.17780/ksujes.600809.
Vancouver
1.Ümit Özbalcı, Erdal Kılıç. MODELING THE BATTERY SYSTEM OF AN ELECTRIC VEHICLE. KSU J. Eng. Sci. 2019 Nov. 1;22:64-9. doi:10.17780/ksujes.600809

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