Yongzhen Yang

Title: Yongzhen Yang: Innovator in Heavy Vehicle Mass Prediction

Introduction

Yongzhen Yang 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 combines networked operating data with machine learning techniques.

Latest Patents

Yongzhen Yang 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, Yongzhen Yang 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 develop and refine his innovative methods.

Collaborations

Yongzhen Yang has collaborated with several professionals in his field, including Xiaoxin Bai and Chunling Wu. These collaborations have contributed to the advancement of automotive technologies and the implementation of his patented methods.

Conclusion

Yongzhen Yang's contributions to the automotive industry, particularly through his innovative patent, highlight his expertise in vehicle mass prediction. His work continues to influence the development of advanced automotive technologies.