Modeling Li-ion Battery Capacity Depletion in a Particle Filtering Framework

Bhaskar Saha and Kai Goebel
Submission Type: 
Full Paper
Supporting Agencies (optional): 
NASA
AttachmentSizeTimestamp
phmc_09_38.pdf449.46 KBSeptember 21, 2009 - 7:36pm

This paper presents an empirical model to describe battery behavior during individual discharge cycles as well as over its cycle life. The basis for the form of the model has been linked to the internal processes of the battery and validated using experimental data. Subsequently, the model has been used in a Particle Filtering framework to make predictions of remaining useful life for individual discharge cycles as well as for cycle life. The prediction performance was found to be satisfactory as measured by performance metrics customized for prognostics. The work presented here provides initial steps towards a comprehensive health management solution for energy storage devices.

Publication Control Number: 
038
Submission Keywords: 
accelerated testing
batteries
battery health algorithms
battery power management
lithium-ion batteries
particle filtering
physics of failure
remaining useful life (RUL)
state of charge estimation
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