Systems and methods for predicting the cycle life of cycling protocols

US11614491B2 · kind B2 · utility

Assignees

• TOYOTA RESEARCH INSTITUTE, INC. · US
• Massachusetts Institute of Technology · US
• The Board of Trustees of the Leland Stanford Junior University · US

Inventors

• Richard Dean Braatz · Arlington, US
• Benben Jiang · Cambridge, US
• Fabian Mohr · Cambridge, US
• Michael Forsuelo · Cambridge, US
• William E. Gent · Redwood City, US
• Patrick K. Herring · Mountain View, US
• William C. Chueh · Menlo Park, US
• Stephen J. Harris · Bloomfield, US

Key dates

• Filing date: Apr 20, 2021
• Grant date: Mar 28, 2023
• Expiry date: Apr 24, 2041

Classification

• Technology area (CPC Y): Emerging Cross-Sectional Technologies
• CPC primary: Y02E60/10
• WIPO field: Electrical machinery, apparatus, energy
• WIPO sector: Electrical engineering

Abstract

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.