IoT-Enabled Energy Management Systems For Sustainable Energy Storage: Design, Optimization, And Future Directions

Abstract

Energy storage system (ESS) is essential for tackling energy issues, particularly in rural areas where sustainable, effective energy management is necessary. We aim at two main goals in this paper. As a first step, it understands and analyses key parameters that determine the state of health (SoH) of ESS for the better performance and endurance of ESS. Second, it presents an IoT-based framework for real-time monitoring and management of energy in order to optimize its usage and storage. This paper first analyses the factors affecting the SOH of energy storage systems such as charge-discharge cycle frequency, temperature cycle, and aging rate. These methods are examined using analytical approaches and simulations to assess and identify areas for optimization of the parameters. Simultaneously, an IoT-enabled framework is emerged such as sensors, communication protocols, and data analytics tools for real-time monitoring and efficacious energy management. The findings indicate the significance of SOH parameters with respect to energy storage performance and the potential for both design and structural optimizations leading to efficient operation of ESS. By predicting energy consumption and distributing load intelligently, the proposed IoT architecture shows more efficient energy utilization. Such integrated enhancement improves reliability and sustainability across energy systems. Finally, the paper highlights the need to monitor the states of health (SoH) parameters for each battery pack and combines the IoT to produce smarter energy management solutions. The results of this study may lead to the design of more efficient, sustainable energy storage systems — especially in the resource-poor rural environments.