Weilin Liu

Title: Weilin Liu: Innovator in Heavy Vehicle Mass Prediction

Introduction

Weilin Liu 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

Weilin Liu 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 ascertain vehicle longitudinal acceleration and road gradient sine values. Ultimately, these inputs are used in a vehicle mass prediction model to obtain an accurate estimate of the vehicle's mass.

Career Highlights

Throughout his career, Weilin Liu 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

Weilin Liu 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

Weilin Liu's contributions to the field of heavy vehicle mass prediction demonstrate his commitment to innovation and technology. His patent reflects a significant advancement in the automotive industry, showcasing the potential of machine learning in enhancing vehicle performance.