Ann Arbor, MI, United States of America

Zhen Yang


Average Co-Inventor Count = 5.0

ph-index = 1


Company Filing History:


Years Active: 2024

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1 patent (USPTO):Explore Patents

Title: Innovations in Vehicle Speed Prediction by Zhen Yang

Introduction

Zhen Yang is an accomplished inventor based in Ann Arbor, MI (US). He has made significant contributions to the field of vehicle connectivity and energy efficiency. His innovative work focuses on enhancing the performance of connected and automated vehicles (CAVs) through advanced predictive frameworks.

Latest Patents

Zhen Yang holds a patent for "Multi-range vehicle speed prediction using vehicle connectivity for enhanced energy efficiency of vehicles." This integrated speed prediction framework utilizes historical traffic data mining and real-time vehicle-to-infrastructure (V2I) communications. The framework provides multi-horizon speed predictions with varying fidelity over both short and long horizons. It is integrated with an economic model predictive control (MPC) strategy for battery thermal management (BTM) of connected and automated electric vehicles (EVs). Simulation results from real-world urban driving cycles demonstrate the enhanced prediction performance of this data mining strategy over long prediction horizons. The vehicle-level simulation results indicate that energy savings of 14% and 19% can be achieved through eco-driving and BTM optimization (eco-cooling), respectively, compared to normal driving and conventional BTM strategies. Zhen Yang has 1 patent to his name.

Career Highlights

Zhen Yang is affiliated with the University of Michigan, where he continues to advance research in vehicle technology and energy efficiency. His work is pivotal in shaping the future of sustainable transportation.

Collaborations

Zhen Yang has collaborated with notable colleagues, including Mohammad Reza Amini and Yiheng Feng, contributing to the development of innovative solutions in the automotive sector.

Conclusion

Zhen Yang's contributions to vehicle speed prediction and energy efficiency exemplify the potential of innovative technologies in transforming the automotive industry. His work not only enhances vehicle performance but also promotes sustainable driving practices.

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