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In this article, we examine prognostics and health management (PHM) issues using battery health management of Gen 2 cells, an 18650-size lithium-ion cell, as a test case. We will show where advanced regression, classification, and state estimation algorithms have an important role in the solution of the problem and in the data collection scheme for battery health management that we used for this case study.
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Kai Goebel
Austrian Institute of Technology
Bhaskar Saha
Central Institute of Technology Kokrajhar
Abhinav Saxena
Motilal Nehru National Institute of Technology
IEEE Instrumentation & Measurement Magazine
Ames Research Center
Idaho National Laboratory
Research Institute for Advanced Computer Science
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Goebel et al. (Fri,) studied this question.
synapsesocial.com/papers/6a0fd8d58090e499da603e06 — DOI: https://doi.org/10.1109/mim.2008.4579269