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Abstract
Internal short circuits in lithium-ion batteries present a significant risk of thermal runaway. This study introduces a precise quantitative method for diagnosing internal short circuits in lithium-ion batteries based on balanced capacity. By calculating the theoretical balanced capacity of each cell in the absence of an internal short circuit and comparing it with the actual balanced capacity measured by the balancing system, the internally short-circuited cell can be identified, and the internal short-circuit resistance can be determined. Experimental validation is conducted in both active and passive balancing scenarios, covering various aging conditions and a wide range of internal-short-circuit resistance values (55-330Ω). Results show that the proposed method can accurately evaluate the leakage current caused by internal short circuits, with estimation errors bounded by ±1 mA for typical load profiles. Notably, this method does not require restrictions on battery operating conditions or additional sensors, making it a cost-effective solution that can be easily integrated into existing battery management systems. This provides an economical and efficient approach for detecting internal short circuits in battery packs.
Original language | English |
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Article number | 116622 |
Journal | Journal of Energy Storage |
Volume | 123 |
Early online date | 23 Apr 2025 |
DOIs | |
Publication status | E-pub ahead of print - 23 Apr 2025 |
Bibliographical note
Publisher Copyright:© 2025 Elsevier Ltd
Funding
This research is supported by the National Natural Science Foundation of China (NSFC) under Grant numbers 52277223 and 51977131, Lingnan University under grant numbers SUFRG2501 and DR25F1, and the Shanghai Pujiang Programme (23PJD062).
Keywords
- Battery balancing
- Internal short circuit
- Lithium-ion batteries
- State-of-health
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- 2 Active
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Key techniques for retired battery screening towards second-life applications
TANG, X. (PI)
1/01/25 → 5/08/26
Project: Grant Research
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Low-cost detection of battery internal-short-circuit in pack applications
TANG, X. (PI)
1/01/25 → 31/12/25
Project: Grant Research