This inventor holds 1 USPTO granted patent. Top assignee: Deere & Company. Active years: 2025.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2025
Title: Innovations of Zhuoyan Xu in Motor Control Systems
Introduction
Zhuoyan Xu is an accomplished inventor based in Madison, WI (US). He has made significant contributions to the field of motor control systems, particularly through his innovative use of deep learning models. His work focuses on enhancing the efficiency and accuracy of electric motor winding temperature estimation and control.
Latest Patents
Zhuoyan Xu holds a patent for a groundbreaking invention titled "Deep learning models for electric motor winding temperature estimation and control." This motor control system incorporates a motor with multiple windings, along with sensors designed to monitor various operating parameters. The system utilizes memory hardware to store a machine learning model, which is trained to provide accurate winding temperature estimations based on the input from the sensors. The processor hardware executes the instructions to generate a temperature estimation output, which is crucial for controlling the motor effectively.
Career Highlights
Zhuoyan Xu is currently employed at Deere & Company, where he applies his expertise in motor control systems. His innovative approach has led to advancements in the efficiency of electric motors, making significant impacts in various applications. His dedication to research and development has positioned him as a key figure in his field.
Collaborations
Zhuoyan Xu collaborates with talented colleagues, including Yujiang Wu and Lav Thyagarajan. Their combined efforts contribute to the ongoing advancements in motor control technologies.
Conclusion
Zhuoyan Xu's contributions to the field of motor control systems through his innovative patent demonstrate his commitment to advancing technology. His work not only enhances the functionality of electric motors but also showcases the potential of integrating machine learning in engineering applications.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
