Longfei Han is an academic professor at Shandong University of Science and Technology specializing in high-safety polymer solid electrolytes and the thermal runaway mechanisms of lithium metal batteries. He earned his doctoral degree in Safety Science and Engineering from the University of Science and Technology of China under the guidance of Professor Yuan Hu, and participated in co-training at Tsinghua University with Professor Xiangming He. His research focuses on the preparation of non-combustible polymer solid electrolytes, flame-retardant coatings, and anti-ablative materials, alongside safety studies using multi-physics simulation software such as Comsol. Han has published over thirty peer-reviewed SCI papers, including several first-author Q1 publications in journals such as Energy Storage Materials, Advanced Functional Materials, Nano Energy, and Nano Letters, and holds an invention patent in the field. He has presented his work at international conferences on fire safety materials and lithium battery safety. His earlier research involved the design of core-shell thermal-safe phase change materials for lithium-ion batteries, exploring their effects on electrochemical performance and fire safety. Han has been recognized with prestigious scholarships for his academic excellence and demonstrates strong skills in scientific visualization and simulation software, as well as proficiency in English and advanced computing. His contributions to polymer materials, solid-state electrolytes, and battery safety have advanced understanding of high-performance, non-combustible battery systems, promoting safer and more reliable energy storage technologies.
Profile: Scopus
Featured Publications
Han, J., Wang, X., Shi, H., Wang, B., Wang, G., Chen, L., & Wang, Q. (2022). Research on the impacts of vehicle type on car-following behavior, fuel consumption, and exhaust emission in the V2X environment. Sustainability, 14(22), 15231.
Wang, B., Shi, H., Chen, L., Wang, X., Wang, G., & Zhong, F. (2023). A recognition method for road hypnosis based on physiological characteristics. Sensors, 23(7), 3404.