Abstract Title   First Principles LiIon Batt. Perf. & Life Prediction Model Based on Single Particle Model Equations Abstract Author(s)   Gerald Halpert, Ratnakumar V. Bugga, Matthew K. Heun, Abhijit Shevade, Ralph White, and Kerry T. Nock Abstract Presenter   Gerald Halpert Abstract   Global Aerospace Corporation (GAC), in collaboration with the Jet Propulsion Laboratory (JPL), has been developing a unique, engineer-friendly, first-principlesbased software tool, called “Dakota”, to provide a reliable method for predicting Li-Ion battery life and performance. This tool incorporates first-principles chemical and electrochemical models in the form of the Single Particle Model (SPM) developed by Dr. Ralph White at the University of South Carolina and develops them into large-format cell and battery models of the desired chemistry. In the second phase of the project, GAC is extending the capability of the SPM-based Dakota tool for a wider set of discharge and charge rates with taper, temperatures and operating conditions by incorporating additional cell and battery design and operational conditions that affect performance predictions. In this presentation, the SPM Dakota tool results will be verified with Dr. White’s SPM Fortran software for cell charge and discharge voltages vs. time for the anode and cathode potentials. We will also show and example of SPM Dakota-generated sensitivity of discharge voltage predictions to loading levels. Finally, we will compare SPM Dakota tool results with the full-physics model for LiyMn2O4 (Doyle-Newman) and Li(NiCo)O2 chemistries under 100% DOD charge/discharge and typical LEO cycling. Also, for the LiyMn2O4 chemistry, we will compare Dakota simulations with the published results of Doyle-Newman. For the Li(NiCo)O2 chemistry, we will compare Dakota results with JPL-supplied LEO cycling data from 8 Ah-rated cells that were developed, tested and being used on the successful Mars Exploration Rovers.