Journals / International Journal of Automotive Science and Technology / 2023 / Cilt: 7 Sayı: 3

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

Pages
234–247
Publication Date
2023-09-30
DOI
—
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

In this study, an overall modelling of a lithium-ion battery pack is performed using a Matlab-Simulink interface.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:In this study, an overall modelling of a lithium-ion battery pack is performed using a Matlab-Simulink interface.
📊
Key Findings & Data:The model can simulate the performance of the individual cells and the battery pack.
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Conclusion & Impact: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.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Battery ageing · Battery pack faults · Cell relaxation time

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.

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Cite This Article

SOLOY, A., BARTOLİ, T., HAİDAR, F. (2023). Modelling and fault diagnosis of lithium-ion battery for electric powertrain. International Journal of Automotive Science and Technology, Cilt: 7 Sayı: 3, 234–247. https://ajindex.com/articles/963629

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