Date of Award


Document Type

Campus Access Master's Thesis

Degree Name

Master of Science in Mechanical Engineering (MS)

Administrative Home Department

Department of Mechanical Engineering-Engineering Mechanics

Advisor 1

Paul Bergstrom

Advisor 2

Wayne Weaver

Committee Member 1

Stephen Hackney

Committee Member 2

Jeffrey Naber


In the ever-expanding field of energy storage, specifically that of lithium-ion batteries, the need to run concise tests to derive accurate parameters that can simulate these batteries becomes more and more crucial. This research focused on improving current test procedures by investigating variations of common test procedures to reduce testing time, the impact of the test used on prediction, and the effects of varying the definition of the parameters (i.e. current dependent, look-up table). Key findings of this work include decreasing the recommended rest time in the HPPC test to 15 minutes maintains the same level of accuracy, including C-Rate dependent parameters improved the model’s performance and captured hysteresis effects, and using a modified HPPC achieves an equivalent C-Rate dependent model to that of running multiple HPPC tests, drastically decreasing test time. Additionally, using this model paired with entropic heating estimation can get thermal accuracy within 1°C.

Available for download on Thursday, November 21, 2024