Prognostics in Battery Health Management
- 25 July 2008
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Instrumentation & Measurement Magazine
- Vol. 11 (4), 33-40
- https://doi.org/10.1109/mim.2008.4579269
Abstract
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.Keywords
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