This inventor holds 2 USPTO granted patents and 2 published patent applications. Top assignee: Sb Technology, Inc.. Active years: 2025.
Company Filing History:
Years Active: 2025
Title: Innovations by Tyler Sours in Battery Technology
Introduction
Tyler Sours is an accomplished inventor based in Fort Collins, CO (US). He has made significant contributions to the field of battery technology, holding 2 patents that focus on improving battery performance and defect identification. His work is pivotal in advancing the efficiency and reliability of battery systems.
Latest Patents
Tyler's latest patents include "Systems and methods for battery performance prediction" and "Diagnostic systems and methods for battery defect identification." The first patent outlines methods, systems, and apparatus for predicting battery performance using machine learning. It involves receiving battery test data from a battery cell, which includes properties from multiple tests. This data is input into a machine learning system that predicts the end of life (EOL) cycle of the battery cell, allowing for proactive actions based on the prediction results.
The second patent focuses on identifying defects in battery cells. It describes methods for receiving battery test data during a battery cycle and using a machine learning model to predict whether a battery cell will experience catastrophic fade. This predictive capability is crucial for ensuring the safety and longevity of battery systems.
Career Highlights
Tyler Sours is currently employed at Sb Technology, Inc., where he continues to innovate in the field of battery technology. His work is characterized by a strong emphasis on utilizing machine learning to enhance battery performance and reliability.
Collaborations
Tyler collaborates with talented individuals such as Ang Xiao and Shivang Agarwal, contributing to a dynamic team focused on cutting-edge battery solutions.
Conclusion
Tyler Sours is a notable inventor whose work in battery technology is shaping the future of energy storage solutions. His innovative patents demonstrate a commitment to improving battery performance and safety through advanced predictive methods.