可穿戴技术
可扩展性
计算机科学
数码产品
可穿戴计算机
能量收集
储能
高效能源利用
能量(信号处理)
嵌入式系统
智能传感器
无线传感器网络
柔性电子器件
电压
控制工程
电气工程
电容
工程类
智能系统
电力电子
电子工程
数据采集
新兴技术
响应时间
计算机数据存储
电池(电)
范式转换
智能材料
作者
Soon Poh Lee,Kwok Feng Chong,Eng-Hock Lim,Chun Hui Tan,Pei Song Chee
标识
DOI:10.1021/acsaem.5c03793
摘要
The evolution of flexible technology has progressed beyond traditional energy storage systems toward multifunctional platforms that unify energy harvesting, storage, and sensing within a single and flexible architecture. This transformation is propelled by advancements in nanomaterials, responsive substrates, and self-powered mechanisms that enable real-time biosensing and dynamic energy management. Notably, recent developments highlight the potential of extracting sensing signals directly from the intrinsic aberrations in energy storage behavior such as voltage or capacitance changes in response to mechanical strain, temperature, humidity, and light stimuli, eliminating the need for separate sensing units. However, most existing literature either focuses on the preservation of stable output under stress or isolates sensing to individual components, falling short of realizing a truly integrated system. Innovative device architectures that incorporate multifunctional materials, co-fabricated energy sensor elements, and low-power electronics are now being coupled with machine learning and artificial intelligence (AI) to interpret subtle performance shifts as meaningful environmental data. These intelligent systems promise to convert electrochemical fluctuations into actionable feedback while maintaining a power supply to onboard electronics. Despite ongoing challenges in material resilience, system integration, and scalable fabrication, emerging solutions such as AI-assisted response mapping, hybrid stimuli-responsive materials, and all-in-one designs are unlocking the path to self-sustaining and intelligent wearable platforms. This convergence of materials science, AI, and next-generation energy technologies marks a paradigm shift toward adaptive and predictive wearables for healthcare, fitness, and industrial applications.
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