A Health Monitoring Method Based on Multivariate State Estimation Technique

Jian Peng; Wei Dong Xiao; Xiu Pin Huang

doi:10.4028/www.scientific.net/AMM.281.80

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 281A Health Monitoring Method Based on Multivariate...

A Health Monitoring Method Based on Multivariate State Estimation Technique

Abstract:

The monitor of lithium-ion battery health is becoming a challenge because the performance of battery is effect by many environment factors. To address this problem, a new health monitor method based on Multivariate State Estimation Technique (MSET) and Sequential Probability Ratio Test (SPRT) is proposed in this paper. In order to demonstrate the performance gain of the method, a detailed experiment is performed based on a lithium-ion battery. By the comparison of performance parameters actual residuals and healthy residuals driven from the training data based on MSET, the fault detection can be implemented based on the SPRT.

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Periodical:

Applied Mechanics and Materials (Volume 281)

Pages:

80-85

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.281.80

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Online since:

January 2013

Authors:

Jian Peng, Wei Dong Xiao, Xiu Pin Huang

Keywords:

Health Monitoring, Lithium-Ion Battery, Multivariate State Estimation Technique

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