TIANJIN, China

Na Li

USPTO Granted Patents = 1 

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: Na Li - Innovator in Heavy Vehicle Mass Prediction

Introduction

Na Li is a notable inventor based in Tianjin, China. He has made significant contributions to the field of automotive technology, particularly in the area of predicting the mass of heavy vehicles. His innovative approach utilizes machine learning and networked operating data to enhance vehicle performance and safety.

Latest Patents

Na Li 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 used in a vehicle mass prediction model to obtain an accurate predicted mass.

Career Highlights

Throughout his career, Na Li 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 work in these institutions has allowed him to apply his innovative ideas in practical settings, contributing to advancements in automotive technology.

Collaborations

Na Li has collaborated with several professionals in his field, including Xiaoxin Bai and Chunling Wu. These collaborations have fostered a productive environment for innovation and development in automotive research.

Conclusion

Na Li's contributions to the field of heavy vehicle mass prediction demonstrate his commitment to advancing automotive technology. His innovative methods and collaborations highlight the importance of research and development in creating safer and more efficient vehicles.

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