Date of Award
Doctor of Philosophy
Since their market introduction in the early 1990s, lithium-ion (Li-ion) batteries have been increasingly used as a desirable charge carrier for energy storage applications. Currently, the major applications are in small electronic appliances such as cell phones, portable computers, and cameras. Most recently, a serious development effort has been devoted to Li-ion batteries for electric vehicles as well as grid-scale energy storage systems. Promising results have been achieved in both applications. However, major industries and government agencies worldwide have been facing challenges in ensuring the safe and reliable operation of Li-ion batteries. Examples of failures related to Li-ion batteries involve UPS flight fire due to overheated battery in 2006, Boeing 787 Dreamliner fire due to battery manufacturing defect in 2013, and Galaxy Note 7 exploding due to the faulty battery design in 2016. The goal of my research is to develop innovative data-driven methods that enable to online monitor the battery state of health (SOH) and make accurate early prediction of battery cycle life.
Shen, Sheng, "Data-driven approaches for battery state estimation and early cycle life prediction" (2020). Graduate Theses and Dissertations. 18400.
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