Ann Arbor, MI, United States of America

Wenduo Wang


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: The Innovations of Wenduo Wang

Introduction

Wenduo Wang is an accomplished inventor based in Ann Arbor, MI. He has made significant contributions to the field of vehicle technology, particularly in the area of speed profile prediction using advanced neural networks. His innovative approach has the potential to enhance the efficiency and performance of modern vehicles.

Latest Patents

Wang holds a patent for "Vehicle speed profile prediction using neural networks." This invention involves a vehicle equipped with a powertrain that includes both an electric machine and an engine. The vehicle's controller is programmed to operate the powertrain based on a predicted speed profile for a predetermined route, which is segmented according to various driving zone types. Each driving zone type is associated with a unique characteristic speed profile shape and vehicle location. Additionally, the controller is designed to update the predicted segment speed profile in response to any deviations between the predicted and measured speed profiles. This innovative technology aims to optimize vehicle performance and energy efficiency.

Career Highlights

Wenduo Wang has worked with notable organizations such as Ford Global Technologies and the University of Michigan. His experience in these institutions has allowed him to develop and refine his innovative ideas, contributing to advancements in automotive technology.

Collaborations

Wang has collaborated with talented individuals in his field, including Johannes Geir Kristinsson and Ryan Abraham McGee. These partnerships have fostered a creative environment that encourages the exchange of ideas and the development of groundbreaking technologies.

Conclusion

Wenduo Wang's contributions to vehicle technology through his innovative patent demonstrate his commitment to advancing the automotive industry. His work in speed profile prediction using neural networks showcases the potential for improved vehicle efficiency and performance.

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