Research Article

Modelling and fault diagnosis of lithium-ion battery for electric powertrain

Volume: 7 Number: 3 September 30, 2023
EN

Modelling and fault diagnosis of lithium-ion battery for electric powertrain

Abstract

In this study, an overall modelling of a lithium-ion battery pack is performed using a Matlab-Simulink interface. The model can simulate the performance of the individual cells and the battery pack. For each single cell, the model simulates the electrical behavior during the cycling phase and the relaxation phase thanks to an equivalent circuit model. The ageing behavior is also simulated, both at the cell and battery pack level. All the battery cell information is summarized in a vector and calculated using Kirchhoff’s law. A fault diagnosis strategy was also included in this model to simulate the continuous degradation and determine the current/voltage behavior of a lithium-ion battery pack following the malfunction of a cell.

Keywords

References

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Details

Primary Language

English

Subjects

-

Journal Section

Research Article

Publication Date

September 30, 2023

Submission Date

May 11, 2023

Acceptance Date

July 7, 2023

Published in Issue

Year 2023 Volume: 7 Number: 3

APA
Soloy, A., Bartoli, T., & Haidar, F. (2023). Modelling and fault diagnosis of lithium-ion battery for electric powertrain. International Journal of Automotive Science And Technology, 7(3), 234-247. https://doi.org/10.30939/ijastech..1295130
AMA
1.Soloy A, Bartoli T, Haidar F. Modelling and fault diagnosis of lithium-ion battery for electric powertrain. IJASTECH. 2023;7(3):234-247. doi:10.30939/ijastech.1295130
Chicago
Soloy, Adrien, Thomas Bartoli, and Fatima Haidar. 2023. “Modelling and Fault Diagnosis of Lithium-Ion Battery for Electric Powertrain”. International Journal of Automotive Science And Technology 7 (3): 234-47. https://doi.org/10.30939/ijastech. 1295130.
EndNote
Soloy A, Bartoli T, Haidar F (September 1, 2023) Modelling and fault diagnosis of lithium-ion battery for electric powertrain. International Journal of Automotive Science And Technology 7 3 234–247.
IEEE
[1]A. Soloy, T. Bartoli, and F. Haidar, “Modelling and fault diagnosis of lithium-ion battery for electric powertrain”, IJASTECH, vol. 7, no. 3, pp. 234–247, Sept. 2023, doi: 10.30939/ijastech..1295130.
ISNAD
Soloy, Adrien - Bartoli, Thomas - Haidar, Fatima. “Modelling and Fault Diagnosis of Lithium-Ion Battery for Electric Powertrain”. International Journal of Automotive Science And Technology 7/3 (September 1, 2023): 234-247. https://doi.org/10.30939/ijastech. 1295130.
JAMA
1.Soloy A, Bartoli T, Haidar F. Modelling and fault diagnosis of lithium-ion battery for electric powertrain. IJASTECH. 2023;7:234–247.
MLA
Soloy, Adrien, et al. “Modelling and Fault Diagnosis of Lithium-Ion Battery for Electric Powertrain”. International Journal of Automotive Science And Technology, vol. 7, no. 3, Sept. 2023, pp. 234-47, doi:10.30939/ijastech. 1295130.
Vancouver
1.Adrien Soloy, Thomas Bartoli, Fatima Haidar. Modelling and fault diagnosis of lithium-ion battery for electric powertrain. IJASTECH. 2023 Sep. 1;7(3):234-47. doi:10.30939/ijastech. 1295130

Cited By


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

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