Zhiquan Dai
Papers
1
Total Citations
8
H-Index
1
About
Zhiquan Dai is a researcher specializing in power management and hybrid energy systems for mobile robotics. His work focuses on integrating Li-Fe batteries with supercapacitors to achieve both high energy density and high power density, addressing the critical challenge of fluctuating power demands in autonomous platforms. His most-cited paper, "Power Management of Hybrid Power Systems with Li-Fe Batteries and Supercapacitors for Mobile Robots" (2014), introduces a two-phase power-optimization strategy that intelligently balances load distribution between energy storage components. This approach enhances system efficiency and extends battery lifespan, offering a practical solution for robots operating under variable workloads. With 8 citations, this work has informed subsequent research in energy-aware robotics and hybrid storage design. Dai’s contributions are particularly valuable for engineers developing robust, long-endurance mobile robots, where reliable power delivery is essential. His research continues to influence the integration of advanced energy storage in autonomous systems, bridging the gap between theoretical optimization and real-world robotic applications.
Research Focus
Key Achievements
Top Papers
- 1