Paul Gasper
This report presents a comprehensive development of a battery state of health estimator aimed at improving the accuracy of degradation predictions for lithium-ion batteries. The objective was to create a reliable estimation model that reflects actual performance and degradation rates as observed in laboratory settings. The methodology involved the analysis of theoretical capacity measurements and the tuning of degradation models based on empirical data, allowing for a more precise adaptation of predictive algorithms. Results demonstrated that the tuned degradation scalar effectively adjusted the model to predict a slower degradation rate that closely aligns with measured capacity data, thereby enhancing the model's robustness. This tuned degradation model can be saved and utilized for future simulations, enabling more accurate predictions for a variety of battery types. The document serves as a final report detailing the findings and methodologies used in the Cooperative Research and Development Agreement (CRADA) associated with this research.
@article{7c49b229-ff49-4c41-a4f7-27df30b0d579,
title={Battery State of Health Estimator: Cooperative Research and Development Final Report, CRADA Number CRD-23-24455},
author={Paul Gasper},
year={2024},
language={en}
}TY - JOUR TI - Battery State of Health Estimator: Cooperative Research and Development Final Report, CRADA Number CRD-23-24455 AU - Paul Gasper PY - 2024 LA - en ER -
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