IJFANS International Journal of Food and Nutritional Sciences

ISSN PRINT 2319 1775 Online 2320-7876

Empirical analysis of density optimization models for supercapacitors from a statistical perspective with

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Pratibha Marskole Umale1, Dr. Manish Sawale2

Abstract

When compared to other kinds of energy storage devices, supercapacitors are more suited for wider deployment because they have a longer cycle life, quicker charge and discharge operations, and a higher safety rating. This makes them ideal for use in a variety of applications. Because of their relatively low energy density, supercapacitor devices have limited use in the real world. Therefore, the purpose of this article is to explain the factors that have an effect on the energy density of supercapacitors and to propose alternate techniques for boosting that energy density by optimizing capacitance, operating voltage, and several other parameters. This article provides a forward-looking view on the most noteworthy advancements regarding high-energy-density supercapacitors and delivers that perspective in the form of contextual observations. This will assist circuit designers to identify optimal models for different use cases. This text also compares the discussed models in terms of their efficiency, scalability, operational speed, deployment cost and complexity levels. This comparison will assist readers to identify optimal models for their performance-specific use cases. To further simplify the process of model selection, this text proposes evaluation of a novel Super Capacity Optimization Rank Metric (SCORM) that combines these metrics. This evaluation assists in identification of optimization models for high-speed, low complexity, high efficiency, high scalability and low-cost scenarios.

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