Hewu Wang
Papers
2
Total Citations
11
H-Index
2
About
Hewu Wang is a leading researcher in battery safety and aging mechanisms, with a focus on lithium-ion battery thermal runaway and degradation prediction. His work addresses critical challenges in the safe deployment of batteries across engineering micro-machines, robotics, and transportation. Wang’s major contributions include pioneering the study of multi-stage thermal runaway evolution in lithium iron phosphate (LFP) batteries, where he developed a sealed heating pressure chamber (SHPC) to systematically analyze gas generation flammability thresholds across different states of charge (SOC). This work, cited 8 times since 2025, provides foundational insights for preventing catastrophic battery failures. Additionally, Wang introduced MELODI, an explainable machine learning method that disentangles mechanistic factors driving calendar aging in batteries, enabling more accurate lifespan predictions and safer battery management. With 3 citations, this work highlights his commitment to transparent, interpretable AI in energy storage research. Wang’s achievements bridge experimental rigor and computational innovation, offering practical tools for engineers and researchers aiming to enhance battery reliability and safety. His research is instrumental in advancing next-generation energy storage systems for high-demand applications.
Research Focus
Key Achievements
Top Papers
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- 2