Lili Xia
Papers
1
Total Citations
5
H-Index
1
About
Lili Xia is a researcher specializing in battery management systems and state estimation for robotic applications. Her work focuses on improving the accuracy and reliability of lithium-ion battery state-of-charge (SOC) estimation, a critical challenge for autonomous systems and special-purpose robots. In her most-cited paper, she developed an innovative estimation method that integrates the Thevenin equivalent circuit model with an improved extended Kalman filter, achieving higher precision in SOC prediction under dynamic operating conditions. This contribution directly addresses the need for robust energy management in robots operating in complex or hazardous environments, where battery performance is vital. While her citation count is still growing, her research has laid foundational work for advancing battery diagnostics in robotics, with potential applications in industrial automation, search-and-rescue missions, and space exploration. Lili Xia’s work exemplifies the intersection of electrochemical modeling and control theory, offering practical solutions for extending the operational life and safety of robotic systems.
Research Focus
Key Achievements
Top Papers
- 1