Norman Jin

Title: The Innovative Contributions of Norman Jin

Introduction

Norman Jin is a prominent inventor based in Palo Alto, California. He has made significant strides in the field of battery technology, particularly focusing on lithium-ion batteries. His innovative approach combines data-driven predictive modeling with practical applications in battery capacity and lifetime prediction.

Latest Patents

One of Norman Jin's notable patents is titled "Data-driven model for lithium-ion battery capacity fade and lifetime prediction." This patent outlines a method for predicting and classifying battery cells by their lifetime. The process involves collecting a training dataset by cycling battery cells between specific voltage levels, continuously measuring various parameters such as voltage, current, temperature, and internal resistance. By generating a discharge voltage curve for each cell, he calculates the cycle-to-cycle evolution of cell charge, ultimately applying a machine learning model to predict battery operation characteristics.

Career Highlights

Throughout his career, Norman Jin has worked with prestigious institutions, including Leland Stanford Junior University and the Massachusetts Institute of Technology. His experience in these renowned organizations has contributed to his expertise in battery technology and predictive modeling.

Collaborations

Norman Jin has collaborated with notable professionals in his field, including Kristen Ann Severson and Richard Dean Braatz. These collaborations have further enhanced his research and development efforts in battery technology.

Conclusion

Norman Jin's contributions to the field of lithium-ion battery technology through his innovative patent and collaborations with esteemed institutions and professionals highlight his significant impact on the industry. His work continues to pave the way for advancements in battery capacity and lifetime prediction.