Introduction
2. Model Description
3. Genetic Adaptation to Test Data
3.1 Genetic Algorithm for Modeling Li-Ion Cells
3.2 Test Data Used for Modeling
3.3 Adaptive Modeling Approach
4. Analysis of Model Results
4.1 Initial Cell State of Charge
4.2 Cathode Capacity
4.3 Lithium-Ion Diffusion Rate
4.4 Cathode Surface Polarization Time Constant
4.5 Cathode Surface Polarization Voltage
4.6 SEI/Electrolyte Resistance
4.7 Anode Capacity
4.8 Anode Precharge
4.9 Cathode Charge Transfer Resistance
4.10 Life Projection Based on Trend Analysis
5. Conclusions
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