Tianjin, China

Chunling Wu


Average Co-Inventor Count = 12.0

ph-index = 1


Company Filing History:


Years Active: 2024

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1 patent (USPTO):Explore Patents

Title: The Innovative Contributions of Chunling Wu

Introduction

Chunling Wu is a notable inventor based in Tianjin, China. He has made significant contributions to the field of automotive technology, particularly in the area of vehicle mass prediction. His innovative approach combines machine learning with networked operating data to enhance the accuracy of mass predictions for heavy vehicles.

Latest Patents

Chunling Wu holds a patent for a method titled "Method for predicting the mass of heavy vehicles based on networked operating data and machine learning." This method involves several steps, including collecting operating data, extracting key parameters such as speed and engine output torque, and determining the vehicle's transmission ratio. The process also includes filtering data to determine vehicle longitudinal acceleration and road gradient sine values. Ultimately, these inputs are utilized in a vehicle mass prediction model to obtain a predicted mass, showcasing Wu's expertise in integrating technology with practical applications.

Career Highlights

Throughout his career, Chunling Wu has worked with prominent organizations in the automotive sector. He has been associated with the Catarc Automotive Test Center and the China Automotive Technology and Research Center. His experience in these institutions has allowed him to develop and refine his innovative methods, contributing to advancements in vehicle technology.

Collaborations

Chunling Wu has collaborated with several professionals in his field, including Xiaoxin Bai and Xiaojun Jing. These collaborations have likely fostered an environment of innovation and shared knowledge, further enhancing the development of his patented methods.

Conclusion

Chunling Wu's contributions to the automotive industry through his innovative patent demonstrate his commitment to advancing technology. His work not only reflects his expertise but also has the potential to significantly impact vehicle safety and efficiency.

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