基于热成像和模型的锂电池耦合机理研究

日期:2021/01/25 - 2021/01/25

 学术讲座:基于热成像和模型的锂电池耦合机理研究

主讲人:Dr. Jie Lin, University of Oxford

时间:2020年1月25日 (周一)下午3-4

地点: via Zoom (Meeting ID: 67981190381, Password: 046587)

讲座摘要

The performance of large-format Li-ion batteries in applications from automotive to grid storage is limited by internal temperature variations associated with heterogeneous electrochemical reactions. Fundamental understanding of the coupling between electrochemical and thermal responses is required to explain these temperature variations, and enables design and control approaches that limit degradation and avoid thermal runaway. This talk describes our recent efforts in expanding the capability of lock-in thermography and inverse modeling to characterize battery electrochemical and thermophysical properties and to probe microscopic processes. We explore the physical mechanisms that control the shapes of non-uniform temperature distributions. Parameter estimation is performed for commercial lithium ion pouch cells by fitting dynamic measurements of the cell voltage and surface temperature distributions under square-wave current cycling. This talk highlights the need to capture interactions between microscopic mechanisms and phenomenological cell performance at relatively large length-scales in order to understand the observed behaviour of large format pouch cells.

主讲人简介

Jie Lin is a postdoctoral researcher at Department of Engineering Science, University of Oxford. Majoring in Mechanical Engineering, he obtained his PhD degree from National University of Singapore in 2018 and bachelor degree from Shanghai Jiao Tong University in 2014, respectively. Jie Lin has been working on multiple research projects in the fields of electrochemistry, thermodynamics and heat and mass transfer. He received NUS Innovation/Entrepreneurship Practicum Award and UK STFC Futures Early Career Award and for his research work in dew point evaporative cooling and battery thermal characterization. Currently, he is working as a lead researcher on a large cross-institutional research project on Translational Energy Storage Diagnostics at Oxford.