Majumdar, Pradip, 1954-
M.S. (Master of Science)
Department of Mechanical Engineering
Lithium-ion (Li-ion) batteries are becoming increasingly popular for energy storage in electric vehicles, portable electronic devices and in-grid storage. Compared to alternative battery technologies, Li-ion batteries provide one of the best energy-to-weight ratios, and experience low self-discharge when not in use. Electric vehicle industries are increasingly attractive for their potential to reduce greenhouse gases and decrease dependence on oil. For automakers, the key to this huge shift will be lithium-ion batteries. The main objective of this research is to develop a three-dimensional computer simulation model of lithium-ion battery and performance analysis subject to a range of charge and discharge rates, current and voltage profiles associated with varying temperatures, and vehicle load cycles. Temperature is known to have a significant impact on the performance, safety and cycle life time of lithium-ion batteries. In this thesis, Multiphysics simulation analysis is used to evaluate the electro-chemical as well as thermal heat generation and temperature variations in the battery during the load cycle. Objective is to monitor the performance through Multiphysics simulation through Application builder and Data Analytics using COMSOL Multiphysics. Such real time predictive analysis will be of great advantage for efficient and safe operation of the battery storage.
Yenigalla, Tejasree, "Battery storage performance analysis using multiphysics simulation through application builder and data analytics" (2017). Graduate Research Theses & Dissertations. 1609.
Northern Illinois University
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