Wearable devices play a crucial role in real-time health monitoring by continuously tracking important physiological indicators such as heart rate, blood oxygen saturation, and body temperature. This not only helps achieve personalized health management but also enables early disease warning. However, traditional rigid power sources (such as lithium-ion batteries) are difficult to adapt to the dynamic deformations of wearable devices in use, such as bending and stretching, and also pose certain safety risks. Therefore, developing flexible energy storage systems that combine high safety, good mechanical flexibility, and high energy density has become an important research direction. Flexible zinc-ion batteries are regarded as a promising solution due to their use of non-flammable aqueous electrolytes, abundant resources, low cost, and good mechanical adaptability. This article systematically reviews the latest progress of flexible zinc-ion batteries, covering key components (electrodes, electrolytes, packaging), device structure design, integration solutions with wearable sensors, and their applications in scenarios such as electrocardiogram monitoring, body temperature tracking, and motion monitoring. The article also explores the current challenges that still exist in terms of energy density, cycle life, mechanical-electrochemical stability, and biocompatibility. Finally, the development directions of future practical applications were prospected, with a focus on innovative material design, structural optimization, intelligent system integration, and the promotion of related standardization.
This paper presents developments in the intelligent control of smart structures for sustainable manufacturing. This study aimed to develop advanced control approaches for the intelligent control of piezoelectric structures and suppression of oscillations. A significant achievement is the development of advanced-control algorithms. Robust control techniques, such as H-infinity control, guarantee system performance and stability in the face of uncertainties and disruptions. The addition of white noise and uncertainty to advanced finite element models is a novel aspect of this study. The outcomes of the analysis were used to present the advances made using this method. This approach is innovative because it employs intelligent control strategies that consider construction optimization by reducing the oscillations and measurement noise. By accounting for modeling uncertainty, these methods optimize construction. Optimizing smart structures makes them more sustainable and ideal for practical applications. The proposed construction is sustainable and creates an innovative design for civil and mechanical engineering applications.
