Long Beach, CA, United States of America

Sam Keene

USPTO Granted Patents = 4 

Average Co-Inventor Count = 6.0

ph-index = 1


Company Filing History:


Years Active: 2022-2024

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4 patents (USPTO):Explore Patents

Title: Innovations of Sam Keene in Battery Technology

Introduction

Sam Keene is an accomplished inventor based in Long Beach, CA. He has made significant contributions to the field of battery technology, holding a total of 4 patents. His work focuses on enhancing cell performance through innovative methods and systems.

Latest Patents

One of Sam Keene's latest patents is titled "Method and system for key predictors and machine learning for configuring cell performance." This patent outlines methods and systems for measuring various parameters related to a cell, which includes a cathode, a separator, and a silicon-dominant anode. The technology allows for the management of cell performance based on these parameters, utilizing a machine learning model to predetermine the cycle life of the cell. This cell may be part of a battery pack used in electric vehicles, and parameters can be measured before, during, and after the formation process of the cell.

Another patent with a similar title also focuses on key predictors and machine learning for configuring cell performance. It emphasizes the assessment of cell performance using a machine learning model, allowing for adjustments based on the performance of multiple cells within a battery pack. This innovation is crucial for optimizing battery efficiency in electric vehicles.

Career Highlights

Sam Keene is currently employed at Enevate Corporation, where he continues to develop cutting-edge technologies in battery performance. His expertise in machine learning and cell management has positioned him as a key player in the industry.

Collaborations

Sam collaborates with talented individuals such as Giulia Canton and Ian Russell Browne, contributing to a dynamic team focused on advancing battery technology.

Conclusion

Sam Keene's innovative work in battery technology, particularly in the realm of machine learning and cell performance, showcases his commitment to enhancing energy solutions. His contributions are paving the way for more efficient electric vehicles and sustainable energy systems.

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