EnSysta: A novel architecture of multi-source energy harvesting system

Abstract

Abstract Passive sensing and computing system derived from the combination of environmental capacitive technology and sensing technology, such system obtains energy from the environment for sensing, computing, and wireless communication, has the advantages of energy self-supply, autonomous operation, long-term independent maintenance-free operation, and are the future development trends of Internet of Things technology. But at present, the passive system obtains energy from a single source and the conversion efficiency is low. At present, there are no low-power devices and hardware architectures designed for passive systems, resulting in computing, sensing, and communication power consumption exceeding the capability limit. Therefore, the core problem that restricts the development and application of passive systems is “limited energy”, which further leads to the problems of “short communication distance”, “poor perception” and “inefficient computation”. This paper intends to systematically study the problem of “limited energy”, starting from three aspects of “energy collection”, “energy management” and “energy utilization”, and proposes that “multi-energy source compound energy collection” is energy “open source”, “energy management based on load task model and energy model matching” and “adaptive load task execution planning” is energy “throttling”. This paper provides a comprehensive and systematic solution and research idea for solving the “energy-limited” problem of passive sensing and computing systems and provides strong support for the maturity and application of passive system technology.