Size-dependent Failure Behavior of Lithium-Iron Phosphate Battery under Mechanical Abuse

TL;DR

This study investigates how the size of lithium-iron phosphate batteries affects their failure behavior under mechanical abuse, revealing size-dependent failure loads, temperature rises, and failure delays crucial for safety management.

Contribution

It provides the first comprehensive analysis of size-dependent failure characteristics of LFP batteries under mechanical abuse using in-situ measurements.

Findings

Failure load and peak temperature depend strongly on battery size.

Smaller 18650 batteries show delayed failure under lateral compression.

Maximum temperature rise observed in 32650 batteries during longitudinal compression.

Abstract

Under mechanical abuse conditions, the failure of lithium-ion batteries occurs in various stages characterized by different force, temperature and voltage response which require it's in-situ measurements for analysis. Firstly, four sizes of commercially available lithium-iron phosphate batteries (LFPB) viz. 18650, 22650, 26650, and 32650 are subjected to quasi static lateral, longitudinal compression, and nail penetration tests. The failure, characterized by the voltage drop and temperature rise, at the onset of the first internal short-circuit (ISC), is identified by Aurdino-based voltage sensor module and temperature measurement module, respectively. The battery failure load and peak temperature at the onset of ISC are found to rely on the battery size strongly. The failure is observed to be delayed for small-sized 18650 batteries during lateral compression, unlike longitudinal compression and nail penetration test. At the onset of the short circuit, the temperature rise above the ambient value is different for different LFPBs. It is found to be maximum (64.4 degree C ) for LFPB 32650 under longitudinal compression and minimum (29.5 degree C) under lateral compression tests amongst the considered geometries. Further, LFPB 26650 exhibited a balanced thermal behavior during the considered abused condition. Such data can be sensed timely for effective thermal management and improved safety of lithium-ion batteries.