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- W4382052452 abstract "The versatility of an equivalent circuit model with huge lookup tables for each circuit element is often used for simulating lithium battery cells, allowing the model to closely match observed data. As grid resiliency takes center stage there has been an increase in the need for grid-scale energy storage. Utilities are interested in energy storage because of the many grid-based uses for the technology, butthe high price of big energy storage systems is typically prohibitive. By reusing batteries from electric vehicles, the price of a utility-scale energy storage system may be greatlyreduced. Although these systems often provide an inaccuracy of no more than 10% when taking into account all the factors, their precision has long been a topic of contention. Batteries are the lifeblood of every automation system, and they're increasingly being used in every industry where constant access to electricity is necessary. Regular checks are necessary to ensure that the battery supply can keep the load running smoothly and without interruption. The acid level, state of charge, voltage, current, and remaining charge capacity of the lead acid battery are all monitored and recorded by our suggested system. This system gives a brief explanation of how lithium-ion battery works and gives results. It possesses various terminologies such as State of health, state of charge, and voltage-current determination. This would provide a experimental performance of lithium-ion batteries. As it addresses problems with existing works, such as a lack of long-term operation, medium-scale capacity, alarms for a safe range of critical magnitudes, real-world operating circumstances, and compatibility management, the idea is original in the scientific literature. To demonstrate its viability and effectiveness, we provide both the surveillance system's design and execution, as wellas experimental data from Lithium-ion batteries." @default.
- W4382052452 created "2023-06-27" @default.
- W4382052452 creator A5013400400 @default.
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- W4382052452 date "2023-05-05" @default.
- W4382052452 modified "2023-09-23" @default.
- W4382052452 title "An Automated Method for Analyzing and Monitoring The Condition of Lithium-Ion Batteries in Microgrids" @default.
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- W4382052452 doi "https://doi.org/10.1109/vitecon58111.2023.10157507" @default.
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