Abstract Title   First Principles LiIon Batt. Perf. & Life Prediction Model Based on Reformulated Model Equations Abstract Author(s)   Gerald Halpert, Venkat R. Subramanian, Matthew K. Heun, Kumar Bugga, and Kerry T. Nock Abstract Presenter   Gerald Halpert Abstract   Global Aerospace Corporation (GAC), in collaboration with Tennessee Technological University* (TTU), has been developing a high fidelity, engineer-friendly, computationally-efficient, first principles-based software tool, called “Dakota”, to predict the behavior of rechargeable lithium-ion batteries under a wide set of operating conditions including wide variations in power loads for satellite applications for a number of Low Earth orbits. Our initial objective was to develop a proof of concept battery operations model for a candidate Li-Ion cell chemistry to predict the behavior of rechargeable cells under a wide set of conditions and wide variations in power loads for satellite applications for low Earth orbits. This presentation will include a discussion of the application of the reformulated model (RFM) approach of Dr. Venkat R. Subramanian and the results of translating three different Li-Ion chemistries, including the Doyle-Newman† (LiMn2O2) chemistry, into RFM equations. We will show that the simple RFM equations were satisfactorily incorporated into Dakota, and their functionality verified using TTU data. 100% DOD cycling, using the Doyle-Newman RFM in Dakota, was demonstrated. The effects of a LEO cycling regime including high-rate pulse discharges will be shown. The results from simulations of three cycling regime cases, with different high-rate pulsing, are compared with a non-pulse discharge cycling case. Data will show the recovery time for the cell as a function of the depth of the high-rate discharge pulse.