Papers
1
Total Citations
482
H-Index
1
About
Dr. Hengjuan Cui is a leading figure in prognostics and health management, with a primary focus on the reliability and safety of lithium-ion batteries. Her most impactful work introduces a novel unscented particle filter technique for predicting the remaining useful life of these critical power sources, a paper that has garnered over 480 citations and become a cornerstone in the field. This contribution directly addresses the challenge of accurately forecasting battery degradation, enabling proactive maintenance and preventing catastrophic failures in applications from electric vehicles to portable electronics. Dr. Cui’s research elegantly bridges advanced statistical filtering with real-world engineering needs, providing a robust framework for system health assessment. Her work is widely recognized for its practical significance, influencing subsequent studies in battery diagnostics and predictive algorithms. Through this seminal publication and her ongoing research, Dr. Cui has established herself as a key innovator in extending the operational lifespan and safety of energy storage systems.
Research Focus
Key Achievements
Top Papers
- 1