Xiaojun Jing

Title: Innovations of Xiaojun Jing in Heavy Vehicle Mass Prediction

Introduction

Xiaojun Jing is an accomplished 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 to enhance vehicle performance and safety.

Latest Patents

Xiaojun Jing 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 utilized in a vehicle mass prediction model to obtain an accurate estimate of the vehicle's mass.

Career Highlights

Throughout his career, Xiaojun Jing has worked with notable organizations, including 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 in automotive technology.

Collaborations

Xiaojun Jing has collaborated with several professionals in his field, including Xiaoxin Bai and Chunling Wu. These partnerships have contributed to the advancement of his research and the successful implementation of his patented methods.

Conclusion

Xiaojun Jing's work in predicting the mass of heavy vehicles showcases his innovative spirit and dedication to improving automotive technology. His contributions are significant in enhancing vehicle safety and efficiency, marking him as a noteworthy inventor in the industry.