EcoFlex DC-DC Converter Optimization Using a Stochastic-Heap Hybrid Optimizer and IoT Technology
DOI:
https://doi.org/10.9734/bpi/rader/v7/11030FKeywords:
IoT, EcoFlex DC-DC converter, Stochastic-Heap Hybrid Optimizer (SHHO)Abstract
The rising need for energy-efficient power electronics in Internet of Things (IoT)-enabled devices requires the creation of advanced optimization techniques. The EcoFlex DC-DC converter, a new energy-efficient solution, is introduced in this chapter, along with a proposal for its optimization using an IoT-integrated stochastic-heap hybrid optimizer (SHHO). The main objectives are to produce an eco-friendly DC-DC converter, an IoT-based switching control improvement, and a low-power converter. The widespread use of Internet of Things (IoT) devices in recent years has increased demand for power electronics systems that meet networked intelligent devices' varied and changing energy requirements. Innovative power management systems that can strike a balance between energy economy, agility, and environmental awareness are urgently needed as IoT applications continue to grow. A prospective solution to these problems is the EcoFlex DC-DC converter, which this chapter covers. It is meant to maximize energy use while allowing for the fluctuating load requirements of IoT-enabled equipment. The Stochastic-Heap Hybrid Optimizer (SHHO), which combines the benefits of stochastic exploration with heap-based exploitation, is used to achieve this. Improving the EcoFlex DC-DC converter's effectiveness is the primary goal of this work. The SHHO optimizes the EcoFlex converter's settings to achieve high energy efficiency, which lowers total energy expenditures and promotes sustainable operation. The chapter's second goal is to use IoT technologies to enhance EcoFlex converter control.
In this book chapter, researchers and engineers may examine the EcoFlex converter's potential as a high-performance power management option for the developing IoT system landscape. These results and conclusions open the way for further investigation into optimizing power electronics and support the growth of environmentally friendly and energy-efficient IoT devices.
