Plating Mechanism Detection in Lithium-ion batteries, by using a particle-filtering based estimation technique

Document Type

Conference Proceeding

Publication Date

1-1-2013

Publication Title

Proceedings of the American Control Conference

First Page

4356

Last Page

4361

Abstract

Plating of metallic Lithium (Li) is an important battery degradation, failure mechanism, and a safety concern of Lithium-ion (Li-ion) batteries during charging process, which can short circuit the battery and lead to uncontrollable energetic chemical reactions. It happens when the transport rate of Li ions to the negative electrode exceeds the rate that Li ions can be inserted (intercalated) into the graphite. This paper presents a two-step Plating Mechanism Detection (PMD) algorithm which is based on the model-based fault diagnosis theory. In the first step, an estimation of the Li ions' transport rate in both positive and negative electrodes is obtained from an electrochemical model of the battery through a particle filtering approach. Estimated data are then compared with their boundary values in order to generate an appropriate fault alarm. Simulation results are provided to show the effectiveness of the proposed PMD algorithm. © 2013 AACC American Automatic Control Council.

DOI

10.1109/acc.2013.6580510

ISSN

07431619

ISBN

9781479901777

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