University of California, Davis, United States.
Yupeng Zhang is a passionate Mechanical Engineering researcher at UC Davis, pursuing his Ph.D. in Dynamics and Controls with a strong background in vehicle systems modeling and smart suspension design. He has hands-on experience in academic and industrial research, collaborating with Hyundai and Parker LORD on advanced suspension systems, and contributing to carbon bike component testing with Full Speed Ahead. Adept in MATLAB, Simulink, SolidWorks, and machine learning, Yupeng integrates theoretical rigor with practical innovation. His contributions include bond graph modeling, preview control design, and hardware prototyping, showcasing his dedication to advancing automotive technology.
Profile
Orcid
🎓 Education
Yupeng Zhang holds a B.S. in Mechanical Engineering and is currently pursuing his M.S. and Ph.D. at UC Davis (expected 2025). He earned multiple Dean’s List honors during his undergraduate studies and was awarded the prestigious Dean Karnopp’s Fellowship in Dynamics and Controls for his graduate work. His academic foundation spans vehicle dynamics, mechatronics, controls (PID, LQR, YOULA), machine learning, and mechanical design. He has excelled in both classroom and research environments, blending deep theoretical knowledge with hands-on laboratory and design experience.
💼 Experience
Yupeng’s experience includes Graduate Researcher at Hyundai Center of Excellence (2021–Present), focusing on vehicle systems and active suspension. At Parker LORD, he developed an MR fluid-based suspension system and a custom shock dynamometer. As a Product Testing Engineer at Full Speed Ahead (2021–Present), he analyzed high-end cycling components and power meters. Previous internships in China at OGRE Robotics and Zhongbi Auto Accessories involved robotics prototyping and brake system testing . His multidisciplinary roles reflect a blend of control theory, mechanical design, testing, and manufacturing experience across global platforms.
🏆 Awards and Honors
Yupeng’s experience includes Graduate Researcher at Hyundai Center of Excellence (2021–Present), focusing on vehicle systems and active suspension. At Parker LORD, he developed an MR fluid-based suspension system and a custom shock dynamometer. As a Product Testing Engineer at Full Speed Ahead (2021–Present), he analyzed high-end cycling components and power meters. Previous internships in China at OGRE Robotics and Zhongbi Auto Accessories involved robotics prototyping and brake system testing . His multidisciplinary roles reflect a blend of control theory, mechanical design, testing, and manufacturing experience across global platforms.
🔬 Research Focus
Yupeng’s research centers on vehicle dynamics, active suspension systems, and smart control algorithms using bond graph modeling and machine learning. He explores the integration of mechanical and electrical systems for optimal ride comfort and safety through preview control and real-time estimation. His work involves modeling complex 6-DoF systems, studying inerter effects, designing feedback controllers (PID, LQR, YOULA), and developing adaptive Kalman filters for signal estimation. He bridges theoretical modeling with practical deployment, contributing to innovations in automotive mechatronics and intelligent mobility solutions .
Conclusion
Yupeng Zhang exemplifies the qualities of a high-caliber, practice-oriented researcher whose work integrates mechanical design, dynamic modeling, and intelligent control systems with tangible real-world applications. His research impact is evidenced through industrial collaboration, complex system prototyping, and control implementation in both academic and corporate environments. With continued emphasis on scholarly publication and interdisciplinary expansion, he is exceptionally well-positioned to be recognized with the Best Researcher Award for his technical innovation, problem-solving acumen, and dedication to advancing mechanical and automotive engineering frontiers.
Publication
Title: Passive and active, fluid and mechanical inerters for vehicle dynamics control
Year: 2025
Authors: Sang Rak Kim, Yupeng Zhang, Suk Won Cha, Donald L. Margolis
Link: https://doi.org/10.1080/00423114.2025.2508873