Ann Arbor, MI, United States of America

Yi Murphey

USPTO Granted Patents = 1 

Average Co-Inventor Count = 8.0

ph-index = 1

Forward Citations = 5(Granted Patents)


Company Filing History:


Years Active: 2017

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1 patent (USPTO):Explore Patents

Title: Yi Murphey: Innovator in Vehicle Speed Prediction Technologies

Introduction: Yi Murphey is a prominent inventor based in Ann Arbor, Michigan, who has made significant contributions to the field of automotive technology. With a focus on enhancing vehicle performance through predictive analytics, he holds a patent that utilizes neural networks to improve vehicle speed profiles.

Latest Patents: Yi Murphey's notable patent, titled "Vehicle Speed Profile Prediction Using Neural Networks," introduces an innovative method for a vehicle that integrates a powertrain consisting of both an electric machine and an engine. This patent outlines a controller that operates the powertrain based on a predicted speed profile tailored for predetermined routes, which are segmented according to various driving zone types. Each driving zone type has its unique characteristic speed profile shape and vehicle location. Additionally, the controller is designed to adapt the predicted segment speed profile by responding to any discrepancies between the predicted and measured speed profiles.

Career Highlights: Throughout his career, Yi has demonstrated his expertise in automotive technologies, working at reputable organizations such as Ford Global Technologies, LLC and the University of Michigan. His role in these institutions has allowed him to collaborate with other experts in the field and contribute to advancements in vehicle technology.

Collaborations: Yi Murphey has had the opportunity to work alongside talented colleagues such as Johannes Geir Kristinsson and Ryan Abraham McGee. These collaborations have been instrumental in pushing the boundaries of automotive innovations and enhancing the practical applications of his research.

Conclusion: Yi Murphey is a trailblazing inventor whose work in vehicle speed prediction through neural networks showcases the intersection of technology and transportation. His patent and collaborations reflect a commitment to advancing automotive functionalities, paving the way for smarter, more efficient vehicle systems.

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