Papers
4
Total Citations
105
H-Index
4
About
Yinbo Wu is a leading researcher in the field of fuel cell hybrid power systems, with a primary focus on the energy management, optimization, and comprehensive performance enhancement of proton exchange membrane fuel cell (PEMFC) and battery hybrid systems. His work is particularly notable for its application to mobile robots, including welding robots, where complex control challenges such as nonlinearity, strong coupling, and environmental disturbances are addressed. Wu’s major contributions include the development of innovative hybrid rule strategies and adaptive mutation particle swarm optimization (AMPSO) algorithms, which significantly improve energy economy and system efficiency. His hierarchical optimization approach for PEMFC/LIB hybrid systems has set new benchmarks in performance improvement. With over 100 citations across his most-cited papers, Wu’s research has had a substantial impact on the field, offering practical solutions for real-world robotic applications. His work on power demand prediction and model evaluation further underscores his commitment to advancing intelligent energy management, making him a key figure in sustainable robotics and clean energy systems.
Research Focus
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