Research Connect

TL;DR

This work designs and evaluates a machine learning pipeline for estimation of battery capacity fade—a metric of battery health—on 179 cells cycled under various conditions, and provides insights into the design of scalable data-driven models for battery SOH estimation, emphasizing the value of confidence bounds around the prediction.

Abstract

Authors

D. Roman

1 Paper

Saurabh Saxena

1 Paper

V. Robu

1 Paper

Michael G. Pecht

1 Paper

D. Flynn

1 Paper

TL;DR

Abstract

Authors

References89 items

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