Maximizing supercapacitor performance: boosting energy storage with convex optimization

Supercapacitors are gaining significance owing to their remarkable ability to develop advanced energy storage devices. This paper uses a new approach to optimize the energy density of supercapacitors using molybdenum disulfide properties by simulating it using the convex optimization method in Python programming by optimizing its crucial parameters. This study provides valuable insights into the potential of this method as a tool to enhance the production of supercapacitors, paving the path for the manufacturing of energy storage devices with smaller sizes and higher performance. The findings with the proposed model highlight the effectiveness of convex optimization in enhancing the performance of supercapacitors offering a robust approach to achieve higher energy density.