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Year 2020, Volume: 4 Issue: 4, 264 - 271, 31.12.2020
https://doi.org/10.30939/ijastech..723043

Abstract

References

  • [1] Keskin, A. (2009). Hybrid vehicle technologies and applications. Engineer & the Machinery Magazine, 597, 12-20.
  • [2] Baker, J. (2008). New technology and possible advances in energy storage. Energy Policy, 36.12,4368-4373.
  • [3] Yong, J. Y., Ramachandaramurthy, V. K., Tan, K. M., & Mithulananthan, N. (2015). A review on the state-of-the-art technologies of electric vehicle, its impacts and pro-spects. Renewable and Sustainable Energy Reviews, 49, 365-385.
  • [4] Hannan, M. A., Lipu, M. H., Hussain, A., Mohamed, A. (2017). A review of lithium-ion battery state of charge estimation and management system in electric vehicle applications: Challenges and recommendations. Renewable and Sustainable Energy Reviews, 78, 834-854.
  • [5] Muratoğlu, Y., Alkaya, A. (2015). Electric vehicle technology and battery management system-review. VIII. Renewable Energy Resources Symposium. pp.243-248.
  • [6] Erdinç, O., Uzunoğlu, M. ve Vural, B. (2011). Energy storage units used in hybrid alternative energy systems. Electric-Electronic and Computer Symposium, Elazığ, 116-126.
  • [7] Yenigün, M. ve Utlu, Z. (2018). Examination and evalua-tion of battery cooling systems used in electric vehi-cles. Engineer & the Machinery Magazine, 59(692), 35-47.
  • [8] Ceylan, M., Sarıkurt, T. ve Balıkçı, A. (2013). Model de-velopment for lithium-ion batteries used in electric vehi-cles. 5th Energy Efficiency and Quality Congress, 23-24.
  • [9] Tremblay, O., Dessaint, L. A., Dekkiche, A. I. (2007). A generic battery model for the dynamic simulation of hybrid electric vehicles. IEEE Vehicle Power and Propulsion Con-ference, 284-289.
  • [10] Samadani, E., Farhad, S., Panchal, S., Fraser, R., Fowler, M. (2014). Modeling and evaluation of li-Ion battery per-formance based on the electric vehicle field tests. SAE Technical Paper, 2014-01-1848, 8-16.
  • [11] Rao, R., Vrudhula, S., Rakhmatov, D. N. (2003). Battery modeling for energy aware system design. Computer, 36.12, 77-87.
  • [12] [Tezde, E. İ. ve Okumuş, H. İ. (2018). Battery models and state of charge (SOC) determination. EMO Bilimsel Dergi, 8(1), 21-25.
  • [13] Sezer, V. (2008). Modeling and optimal power management of a parallel hybrid electric vehicle. PhD Thesis, Istanbul Technical University.
  • [14] Stroe, D. I., Zaharof, A. ve Iov, F. (2018). Power and energy management with battery storage for a ybrid residential pv-wind system–a case study for Denmark. Energy Procedia, 155, 464-477.
  • [15] Sony Corporation. (2013). US18650VTC5 Lithium ıon rechargeable battery technical ınformation revision 0.2. Web adress: https://www.powerstream.com/p/us18650vtc5-vtc5.pdf, Last access date: 18.01.2020

Determination of Lithium Ion Battery Characteristics for Hybrid Vehicle Models

Year 2020, Volume: 4 Issue: 4, 264 - 271, 31.12.2020
https://doi.org/10.30939/ijastech..723043

Abstract

In this study, the characteristic properties of a lithium ion battery cell which is in the dimension standard of “18650’’, creates the battery pack of a hybrid vehicle are determined. The test setup that is able to measure instantaneous current, open circuit voltage and circuit voltage of the bat-tery cell during charging and discharging is prepared. The battery cell is periodically subjected to charge and discharge processes on the test set-up and current, battery voltage and open circuit voltage values are ob-tained. Based on the results of the test, internal resistance and efficiency values are calculated depending on status of the battery charge ratio by using ‘‘Equivalent circuit’’ and ‘‘Rint method’’. With the test results ob-tained, efficiency values were calculated depending on the battery charge rate during the charge and discharge process of the battery. Internal re-sistance and efficiency graphs of the battery cell are created based on the status of the battery charge ratio after the result of the process performed during the charging and discharging. It is determined that if the battery cell charge level is between 15% to %95, the average internal resistance value is 51,452 mOhm during discharhing and 57,48 mOhm during charg-ing. It is also determined that if the battery cell charge level is between 15% to %95, the average efficiency is 98,58 % during discharhing (1A) and 98,496 % during charging (1A).

References

  • [1] Keskin, A. (2009). Hybrid vehicle technologies and applications. Engineer & the Machinery Magazine, 597, 12-20.
  • [2] Baker, J. (2008). New technology and possible advances in energy storage. Energy Policy, 36.12,4368-4373.
  • [3] Yong, J. Y., Ramachandaramurthy, V. K., Tan, K. M., & Mithulananthan, N. (2015). A review on the state-of-the-art technologies of electric vehicle, its impacts and pro-spects. Renewable and Sustainable Energy Reviews, 49, 365-385.
  • [4] Hannan, M. A., Lipu, M. H., Hussain, A., Mohamed, A. (2017). A review of lithium-ion battery state of charge estimation and management system in electric vehicle applications: Challenges and recommendations. Renewable and Sustainable Energy Reviews, 78, 834-854.
  • [5] Muratoğlu, Y., Alkaya, A. (2015). Electric vehicle technology and battery management system-review. VIII. Renewable Energy Resources Symposium. pp.243-248.
  • [6] Erdinç, O., Uzunoğlu, M. ve Vural, B. (2011). Energy storage units used in hybrid alternative energy systems. Electric-Electronic and Computer Symposium, Elazığ, 116-126.
  • [7] Yenigün, M. ve Utlu, Z. (2018). Examination and evalua-tion of battery cooling systems used in electric vehi-cles. Engineer & the Machinery Magazine, 59(692), 35-47.
  • [8] Ceylan, M., Sarıkurt, T. ve Balıkçı, A. (2013). Model de-velopment for lithium-ion batteries used in electric vehi-cles. 5th Energy Efficiency and Quality Congress, 23-24.
  • [9] Tremblay, O., Dessaint, L. A., Dekkiche, A. I. (2007). A generic battery model for the dynamic simulation of hybrid electric vehicles. IEEE Vehicle Power and Propulsion Con-ference, 284-289.
  • [10] Samadani, E., Farhad, S., Panchal, S., Fraser, R., Fowler, M. (2014). Modeling and evaluation of li-Ion battery per-formance based on the electric vehicle field tests. SAE Technical Paper, 2014-01-1848, 8-16.
  • [11] Rao, R., Vrudhula, S., Rakhmatov, D. N. (2003). Battery modeling for energy aware system design. Computer, 36.12, 77-87.
  • [12] [Tezde, E. İ. ve Okumuş, H. İ. (2018). Battery models and state of charge (SOC) determination. EMO Bilimsel Dergi, 8(1), 21-25.
  • [13] Sezer, V. (2008). Modeling and optimal power management of a parallel hybrid electric vehicle. PhD Thesis, Istanbul Technical University.
  • [14] Stroe, D. I., Zaharof, A. ve Iov, F. (2018). Power and energy management with battery storage for a ybrid residential pv-wind system–a case study for Denmark. Energy Procedia, 155, 464-477.
  • [15] Sony Corporation. (2013). US18650VTC5 Lithium ıon rechargeable battery technical ınformation revision 0.2. Web adress: https://www.powerstream.com/p/us18650vtc5-vtc5.pdf, Last access date: 18.01.2020
There are 15 citations in total.

Details

Primary Language English
Subjects Mechanical Engineering
Journal Section Articles
Authors

Hamit Solmaz 0000-0003-0689-6824

Tolga Kocakulak 0000-0002-1269-6370

Publication Date December 31, 2020
Submission Date April 19, 2020
Acceptance Date October 10, 2020
Published in Issue Year 2020 Volume: 4 Issue: 4

Cite

APA Solmaz, H., & Kocakulak, T. (2020). Determination of Lithium Ion Battery Characteristics for Hybrid Vehicle Models. International Journal of Automotive Science And Technology, 4(4), 264-271. https://doi.org/10.30939/ijastech..723043
AMA Solmaz H, Kocakulak T. Determination of Lithium Ion Battery Characteristics for Hybrid Vehicle Models. IJASTECH. December 2020;4(4):264-271. doi:10.30939/ijastech.723043
Chicago Solmaz, Hamit, and Tolga Kocakulak. “Determination of Lithium Ion Battery Characteristics for Hybrid Vehicle Models”. International Journal of Automotive Science And Technology 4, no. 4 (December 2020): 264-71. https://doi.org/10.30939/ijastech. 723043.
EndNote Solmaz H, Kocakulak T (December 1, 2020) Determination of Lithium Ion Battery Characteristics for Hybrid Vehicle Models. International Journal of Automotive Science And Technology 4 4 264–271.
IEEE H. Solmaz and T. Kocakulak, “Determination of Lithium Ion Battery Characteristics for Hybrid Vehicle Models”, IJASTECH, vol. 4, no. 4, pp. 264–271, 2020, doi: 10.30939/ijastech..723043.
ISNAD Solmaz, Hamit - Kocakulak, Tolga. “Determination of Lithium Ion Battery Characteristics for Hybrid Vehicle Models”. International Journal of Automotive Science And Technology 4/4 (December 2020), 264-271. https://doi.org/10.30939/ijastech. 723043.
JAMA Solmaz H, Kocakulak T. Determination of Lithium Ion Battery Characteristics for Hybrid Vehicle Models. IJASTECH. 2020;4:264–271.
MLA Solmaz, Hamit and Tolga Kocakulak. “Determination of Lithium Ion Battery Characteristics for Hybrid Vehicle Models”. International Journal of Automotive Science And Technology, vol. 4, no. 4, 2020, pp. 264-71, doi:10.30939/ijastech. 723043.
Vancouver Solmaz H, Kocakulak T. Determination of Lithium Ion Battery Characteristics for Hybrid Vehicle Models. IJASTECH. 2020;4(4):264-71.


International Journal of Automotive Science and Technology (IJASTECH) is published by Society of Automotive Engineers Turkey

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