Zhejiang, China

Peng Song

This inventor holds 2 USPTO granted patents. Top assignee: Zhejiang University. Active years: 2022-2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Peng Song. Retrieved from https://idiyas.com/inventor/peng-song-ag5trfcg

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile


% Patents Active = 100.0

Average Co-Inventor Count = 5.0

ph-index = 1


Company Filing History:


Years Active: 2022-2025

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2 patents (USPTO):Explore Patents

Title: Innovations of Peng Song in Power Electronics and Motor Control

Introduction

Peng Song is a notable inventor based in Zhejiang, China. He has made significant contributions to the field of power electronics and motor control, holding a total of 2 patents. His work focuses on enhancing the efficiency and performance of motor systems through innovative control methods.

Latest Patents

Peng Song's latest patents include a "Method for model predictive current control of two-motor torque synchronization system." This invention addresses the complexities involved in model predictive current control for two-motor systems. It establishes a unified prediction model to improve torque synchronization and current tracking performance. Another significant patent is the "Control method of brushless DC motor system based on hybrid energy storage unit." This method utilizes a hybrid energy storage unit to optimize braking and electric operation in brushless DC motors, enhancing energy efficiency and performance.

Career Highlights

Peng Song is affiliated with Zhejiang University, where he continues to advance research in motor control technologies. His innovative approaches have positioned him as a key figure in the development of efficient motor systems.

Collaborations

He has collaborated with notable colleagues such as Tingna Shi and Yan Yan, contributing to various research projects and innovations in the field.

Conclusion

Peng Song's contributions to power electronics and motor control demonstrate his commitment to innovation and excellence. His patents reflect a deep understanding of complex systems and a drive to improve technological performance.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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