Abstract

Direct Current (DC) electrical resistivity is a material property that is sensitive to temperature changes. In this paper, the relationship between resistivity and local temperature inside steel shell battery cells (two commercial 10 Ah and 4.5 Ah lithium-ion cells) is innovatively studied by Electrical Resistance Tomography (ERT). The Schlumberger configuration in ERT is applied to divide the cell body into several blocks distributed in different levels, where the apparent resistivities are measured by multi-electrode surface probes. The investigated temperature ranges from −20 to 80 °C. Experimental results have shown that the resistivities mainly depend on temperature changes in each block of the two cells used and the function of the resistivity and temperature can be fitted to the ERT-measurement results in the logistical-plot. Subsequently, the dependence of resistivity on the state of charge (SOC) is investigated, and the SOC range of 70%–100% has a remarkable impact on the resistivity at low temperatures. The proposed approach under a thermal cool down regime is demonstrated to monitor the local transient temperature.

Highlights

  • Overcharge, over-discharge and short circuits are the three most common failure modes of a lithium-ion (Li-ion) cell

  • The conducted experiments focus on the correlation among the local temperature T, state of charge (SOC) and the apparent resistivity ρ for the steel shell Li-ion cells

  • This article aims to measure the local temperature inside battery cells by investigating the dependence of resistivity on temperature and SOC

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Summary

Introduction

Overcharge, over-discharge and short circuits are the three most common failure modes of a lithium-ion (Li-ion) cell. Like oxygen or hydrogen, can quickly raise the core temperature up to 150 °C inside a Li-ion cell. As the heat and gas gradually accumulate in the cell body, they can cause the cell to bulge, leak, and even explode. For battery cells with steel or aluminum shells, the large battery capacity determines a low heat capacity, which means the internal temperature can reach a higher level in normal cell operation. Internal temperature measurement and evaluation are very critical for thermal management system design [1]. If the changes of the temperature can be predicted precisely, potential threats can be avoided effectively and the battery lifespan can be extended [2,3,4]

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