Company Filing History:
Years Active: 2023-2025
Title: Innovations of Yujiang Wu in Electric Motor Control
Introduction
Yujiang Wu is a notable inventor based in Fargo, ND (US), recognized for his contributions to the field of electric motor control. With a total of 3 patents to his name, he has made significant advancements in the application of deep learning models for motor systems.
Latest Patents
One of his latest patents is focused on deep learning models for electric motor winding temperature estimation and control. This innovative motor control system incorporates multiple sensors to monitor operating parameters and utilizes a machine learning model to predict winding temperatures. The system is designed to enhance motor performance by providing accurate temperature estimations, which are crucial for effective control.
Another significant patent involves a system and method for damping mechanical oscillation of a rotor in an electric machine used in vehicles. This inverter system is engineered to mitigate oscillations in rotary systems, thereby improving the stability and efficiency of electric machines. The torque damping module within this system is equipped with advanced features such as a digital filter and a gain adjuster, which work together to dampen mechanical oscillations effectively.
Career Highlights
Yujiang Wu is currently employed at Deere & Company, where he applies his expertise in motor control technologies. His work has been instrumental in developing innovative solutions that enhance the performance and reliability of electric machines.
Collaborations
Throughout his career, Wu has collaborated with talented individuals such as Christopher John Tremel and Kent D Wanner. These partnerships have fostered a creative environment that encourages the development of cutting-edge technologies.
Conclusion
In summary, Yujiang Wu's contributions to electric motor control through his innovative patents demonstrate his commitment to advancing technology in this field. His work not only enhances motor performance but also paves the way for future innovations in electric machine applications.