Company Filing History:
Years Active: 2024
Title: Innovations of Xichan Zhu in Vehicle Data Communication
Introduction
Xichan Zhu is a prominent inventor based in Shanghai, China. He has made significant contributions to the field of vehicle data communication and interaction systems. With a total of 2 patents, his work focuses on enhancing the functionality and efficiency of intelligent automobiles.
Latest Patents
Xichan Zhu's latest patents include a "Vehicle data communication and interaction system and construction method thereof." This invention relates to a system that includes a first test vehicle placed in an environment perception test platform and a second test vehicle in a rotating hub test platform. The system features an intelligent-electronic control unit (i-ECU), a vehicle control unit (VCU), and a vehicle bottom electronic control unit, all communicatively connected. Additionally, a sensor is mounted on the first test vehicle to facilitate communication between the two vehicles.
Another notable patent is the "Whole vehicle in-loop test system of intelligent automobile." This system comprises a rotary drum platform that simulates longitudinal movement and an environment perception platform that simulates transverse movement. It includes a target vehicle simulation unit designed to replicate a target vehicle, enhancing the testing capabilities for intelligent automobiles.
Career Highlights
Xichan Zhu is affiliated with Tongji University, where he continues to advance research in vehicle technology. His innovative approaches have positioned him as a key figure in the development of intelligent automotive systems.
Collaborations
Xichan Zhu collaborates with notable colleagues, including Zhuoping Yu and Lu Xiong, contributing to a dynamic research environment that fosters innovation.
Conclusion
Xichan Zhu's contributions to vehicle data communication and intelligent automotive systems reflect his commitment to advancing technology in this field. His patents demonstrate a forward-thinking approach that is essential for the future of intelligent vehicles.
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