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PAIR Conference 2023

Prof. Tuan GUO

Prof. Tuan GUO

Professor and Director of the Lab for Photonics Sensing for Energy & Biology, Jinan University

Biography

Tuan Guo is a full professor and director of the Lab for Photonics Sensing for Energy & Biology at Jinan University in China. He has authored more than 230 papers in reputational photonics and energy journals, including Nature Communications, Light: Science & Applications, Advances in Optics and Photonics, Energy & Environmental Science and 4 book chapters. He presented over 50 invited talks at international conferences and holds 26 patents in China and USA. He is the Chair of the IEEE I&M Technical Committee “Photonic Technology in Instrumentation and Measurement”, a Senior Member of IEEE and a Senior Member of OPTICA. He was awarded the “Distinguished Young Scientist Award” by the National Natural Science Foundation of China in 2018. Dr. Guo was a recipient of the “2018 Technical Award of the IEEE Instrumentation and Measurement Society” and “2022 Best Application Award of the IEEE Instrumentation and Measurement Society” for outstanding contributions to Energy and Health monitoring technologies.

 

Topic: "Operando battery monitoring using lab-on-fibre optical sensing technologies"

Abstract 

A crucial piece in renewable-energy power-management puzzle lies in the development of renewable energy storage devices such as lithium-ion batteries—poorly-understood degradation mechanisms that occur upon repeated cycling, and that increase the risk of catastrophic battery failure. To develop the next-generation of safe, high-capacity renewable-energy storage, it is therefore crucial to develop methods that monitor the battery’s physical and chemical state-of-health and operation in real-time. Right now, battery assessing methods are typically offline and simulation based. This talk will review the recent developments of in situ fibre-optic analytical technique that will enable us to monitor the state of health of batteries continuously during operation and to minimize their degradation. This method fills a very important gap in current battery monitoring methods, will guide the design of new materials, and will optimize existing and new electro-chemistries.

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