Massachusetts Institute of Technology

Leland Stanford Junior University

Toyota Research Institute, Inc.

Michael Forsuelo

Stephen Joel Harris

Patrick Kenichi Herring

William C Chueh

Richard Dean Braatz

Benben Jiang

William E Gent

Fabian Mohr

System, methods, and other embodiments described herein relate to improving the cycling of batteries by using data and a hierarchical Bayesian model (HBM) for predicting the cycle life of a cycling protocol. In one embodiment, a method includes classifying cycle life of a battery into a class using battery data from cycling with a protocol, wherein the class represents cycle life distributions of cycling protocols. The method also includes quantifying, using the class in a HBM, variability for the battery induced by the protocol. The method also includes predicting, using the HBM, an adjusted cycle life for the protocol according to the variability. The method also includes communicating the adjusted cycle life to operate the battery.

Systems and methods for predicting the cycle life of cycling protocols

Growing community of inventors

Cambridge, MA, United States of America

Michael Forsuelo