- Sterling Baird Brigham Young University
A set of 212 lithium-sulfur, lithium-ion, lithium-oxygen, and other next-generation experimental battery articles was reviewed, and 15 articles provided at least one cell-level performance metric and/or a complete set of information to calculate it. This subset was compared against 27 commercial technologies in key metrics across various energy storage applications using an Excel database tool. While many high cell-level specific energy batteries are reported in the literature, there is a lack of demonstrated high cell-level specific power batteries for any chemistry. Li-S applications are comparable to Li-ion in terms of specific power and generally have higher specific energy, but also exhibit lower cycle life. In future work and as more articles include cell-level information, this tool can be expanded to include thousands of data points, enabling development of new models via machine learning and other methods to predict relationships between battery structure and performance. Additionally, the tool would become more useful for industry experts to effectively search and sort through the vast amount of knowledge accessible in research journals.
Battery database tool