An integrated approach to battery health monitoring using bayesian regression and state estimation

Saha, Bhaskar; Poll, Scott; Goebel, Kai; Christophersen, Jon

doi:10.1109/autest.2007.4374280

An integrated approach to battery health monitoring using bayesian regression and state estimation

The application of the Bayesian theory of managing uncertainty and complexity to regression and classification in the form of relevance vector machine (RVM), and to state estimation via particle filters (PF), proves to be a powerful tool to integrate the diagnosis and prognosis of battery health.…