TY - JOUR
T1 - A new quantitative approach for safety assessment of lithium battery by establishing potential field model
AU - Li, Jianwei
AU - Gong, Wenlong
AU - Yang, Luming
AU - Yang, Qingqing
AU - Licari, John
AU - Micallef, Alexander
AU - Staines, Cyril Spiteri
AU - Apap, Maurice
N1 - Publisher Copyright:
© 2026 Elsevier Ltd.
PY - 2026/7
Y1 - 2026/7
N2 - The quantitative assessment of lithium battery safety is crucial for ensuring the stable and efficient operation of electric vehicles. Current evaluation methods are constrained by the complex mechanical, electrical, and thermal characteristics of lithium batteries, and although many approaches have achieved quantitative safety characterization, challenges remain regarding continuous safety evaluation, computational burden, and effective multi-signal integration. To overcome these limitations, this paper introduces a novel method for quantifying lithium battery safety using potential field theory. This approach establishes a battery safety domain model based on monitorable signals, particularly expansion signals. The model has the potential to be integrated into future battery management systems (BMS) to trigger an alarm when the safety value falls below a user-defined threshold, determined by the tolerance and behavioral characteristics of the cells. The feasibility and applicability of this model are validated under simulated driving conditions, offering a lightweight and continuously quantifiable assessment framework for lithium battery safety in automotive applications.
AB - The quantitative assessment of lithium battery safety is crucial for ensuring the stable and efficient operation of electric vehicles. Current evaluation methods are constrained by the complex mechanical, electrical, and thermal characteristics of lithium batteries, and although many approaches have achieved quantitative safety characterization, challenges remain regarding continuous safety evaluation, computational burden, and effective multi-signal integration. To overcome these limitations, this paper introduces a novel method for quantifying lithium battery safety using potential field theory. This approach establishes a battery safety domain model based on monitorable signals, particularly expansion signals. The model has the potential to be integrated into future battery management systems (BMS) to trigger an alarm when the safety value falls below a user-defined threshold, determined by the tolerance and behavioral characteristics of the cells. The feasibility and applicability of this model are validated under simulated driving conditions, offering a lightweight and continuously quantifiable assessment framework for lithium battery safety in automotive applications.
KW - Lithium batteries
KW - Potentialfield
KW - Safetydomain
KW - Swelling behaviours
UR - https://www.scopus.com/pages/publications/105040737039
U2 - 10.1016/j.seta.2026.105111
DO - 10.1016/j.seta.2026.105111
M3 - Article
AN - SCOPUS:105040737039
SN - 2213-1388
VL - 91
JO - Sustainable Energy Technologies and Assessments
JF - Sustainable Energy Technologies and Assessments
M1 - 105111
ER -