Abstract

We propose an algorithm for estimating an internal short circuit (ISC) resistance in Li-ion battery. With a simple equivalent model of Li-ion battery and recursive least square (RLS) algorithm, open circuit voltage (OCV) and State of Charge (SOC) are estimated. By using the estimated OCV and SOC, the ISC resistance can be calculated and used as ISC fault index. To verify this algorithm, the simulation data from MATLAB/Simulink model and experiment data are used. The result shows that the proposed algorithm contributes to detect the ISC fault in Li-ion battery by using the new ISC fault index.

Highlights

  • The Li-ion batteries are popularly used in transportation applications, such as electrical vehicle, hybrid electrical vehicle, and energy storage system because of their high energy and power density(1)

  • Many dangerous accidents associated with a battery have happened by internal short circuit (ISC), safety concerns always is remained(2,3)

  • When ISC happens in a lithium ion battery, the variation of internal parameters used in equivalent circuit model for Li-ion battery are employed for detecting ISC(9) or for making thresholds values to find out ISC fault(10)

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Summary

Introduction

The Li-ion batteries are popularly used in transportation applications, such as electrical vehicle, hybrid electrical vehicle, and energy storage system because of their high energy and power density(1). Many dangerous accidents associated with a battery have happened by internal short circuit (ISC), safety concerns always is remained(2,3). This fault increase a temperature of a battery cell and especially the temperature above 100 o C causes exothermic side reactions, which leads to thermal runaway with fire and explosion(4,5,6).

Overview of the proposed algorithm
Equivalent circuit model and Estimation of OCV and SOC
Estimations of ISC resistance
ISC experiment
Experiment results and discussion
Findings
Conclusion
Full Text
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