Thin film microbatteries require electrode materials with high areal specific capacities and good cyclability. Use of vapor-deposited silicon thin films as anodes in Li-ion microbatteries offers the advantage of high capacity as well as compatibility with other processes used for microsystem fabrication. Unfortunately, monolithic silicon films greater than 200 nm in thickness pulverize during lithiation and delithiation. We have used metal-assisted-chemical-etching of sputter-deposited amorphous silicon films to make nanoporous silicon layers and arrays of silicon nanopillars as a means of achieving anodes with high areal capacity and good cyclability. We have compared the performance of these nanostructured layers with the performance of monolithic silicon films in Li half-cells. A reduced first cycle coulombic efficiency was observed in all cases and was attributed to the irreversible formation of Li2O due to the presence of oxygen in the sputter-deposited silicon films. This was controlled through modifications of the sputtering conditions. As expected, monolithic films thicker than 200 nm showed poor cycling performance due to pulverization of the film. Nanoporous silicon showed good initial cycling performance but the performance degraded due to porosity collapse and delamination. Arrays of silicon nanopillars made from 750 nm silicon films exhibited good cycling, rate performance and an areal capacity (0.20 mA h cm(-2)) 1.6 times higher than what could be obtained with monolithic Si films with similar cyclability.
Due to rapid development of industries around the world, more and more consumption of fossil fuels was unavoidable, resulting in serious environmental problems. The many pollutant emissions—a major contributor to global warming and weather pattern change—have been at the center of concern. In order to solve this issue, research and development of electric vehicles and energy storage systems made great progress and successfully introduced products in the market. Nevertheless, accurate measurement of the state of charge (SOC) and state of health (SOH) of the Li-ion battery, the most popular electric energy storage device, has not yet been fully understood due to the nature of battery aging. In this study, ideas to estimate the capacity and ultimately SOC and SOH of Li-ion batteries are discussed. With these ideas, we expect not only to accommodate the issues with battery aging but also to implement an algorithm for an on-board battery management system. The key idea is to chase and monitor internal resistance continuously in a fast and reliable manner in real time. With further investigation of the key idea, we also fully expect to come up with a reliable SOC and SOH measurement scheme in the near future.
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