Enhancing ASC Energy Storage: A Component-Based Modeling Approach

Abstract

Among various electrical energy storage technologies like batteries and ultracapacitors, asymmetrical supercapacitors (ASC) stand out as hybrid devices combining battery-like as well as ultracapacitor-like characteristics. Despite extensive research with respect to this device, a significant research gap has emerged – the lack of investigation into the relationship between positive electrode parameters and the performance of ASC. The presented research work comprises a comprehensive study of ASC employing statistical modeling with the design of experiment (DoE) methodology. Component-based approach adopted, offers a more efficient and cost-effective way to predict the behavior and performance of asymmetrical supercapacitor over conventional electrochemical-based methods. It allows the creation of predictive models based on existing data, reducing the need for extensive experimentation without compromising on research output. It has established correlations between these parameters and two vital performance metrics: specific capacitance and pulse current. The outcomes of this study offer valuable insights into the positive electrode factors directly influencing specific capacitance and pulse current in manganese dioxide-activated carbon-based supercapacitors. This knowledge holds the potential to enhance the performance of ASC, making them promising candidates for replacing conventional battery-supercapacitor combinations in various applications.