Bridging the Gap: Integrating Energy Management with Moisture‐Electric Energy Harvesting

With the rapid proliferation of electronic devices, the demand for sustainable energy has grown considerably, particularly in the field of wearable health monitoring. In response, a variety of energy harvesting technologies have been developed to capture energy from the human body or the ambient environment. Among these, the moisture‐electric generator (MEG) has emerged as a promising approach for continuous power generation by leveraging the ubiquitous presence of environmental humidity. MEGs operate by absorbing moisture through hydrophilic materials and facilitating charge separation via ion migration. However, their electrical output is highly dependent on ambient relative humidity, resulting in performance fluctuations that impede practical deployment. Currently, there is a lack of specialized energy management systems tailored to the unique operating characteristics of MEGs. Therefore, this review explores energy management strategies that have been successfully applied in other energy harvesting systems, with the aim of adapting such strategies for MEG applications. Through analysis, learning, and adaptation of these existing systems, it is possible to help MEGs achieve more stable electrical output and accelerate their real‐world implementation.