Papers
1
Total Citations
43
H-Index
1
About
Jie Lian is a researcher specializing in energy management systems and optimization strategies for hybrid power systems, with a particular focus on proton exchange membrane fuel cell (PEMFC) applications in mobile robotics. Their most notable work, published in 2021, introduces a sophisticated hybrid approach combining rule-based strategies with an Adaptive Modified Particle Swarm Optimization (AMPSO) algorithm to optimize the power distribution between fuel cells and battery systems in mobile robots. This research addresses a critical challenge in autonomous robotics — achieving efficient, reliable energy management that extends operational endurance while reducing component stress and degradation. With 43 citations, this work has demonstrated meaningful influence within the fuel cell and robotics research communities, signaling growing interest in intelligent energy control methodologies for next-generation autonomous systems. Lian's contributions sit at the intersection of control theory, clean energy technology, and robotics, reflecting a broader trend toward sustainable and intelligent power architectures. Their research provides a valuable foundation for engineers and scientists working to advance hydrogen fuel cell-powered platforms and hybrid energy systems in real-world applications.
Research Focus
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Top Papers
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