Simulation and performance analysis of self-powered piezoelectric energy harvesting system for low power applications

Abstract

<span lang="EN-US">Energy harvesting is a process of extracting energy from surrounding environments. The extracted energy is stored in the supply power for various applications like wearable, wireless sensor, and internet of thing (IoT) applications. The electricity generation using conventional approaches is very costly and causes more pollution in the environmental surroundings. In this manuscript, an energy-efficient, self-powered battery-less piezoelectric-based energy harvester (PE-EH) system is modeled using maximum power point tracking (MPPT) module. The MPPT is used to track the optimal voltage generated by the piezoelectric (PE) sensor and stored across the capacitor. The proposed PE system is self-operated without additional microarchitecture to harvest the Power. The experimental simulation results for the overall PE-EH systems are analyzed for different frequency ranges with variable input source vibrations. The optimal voltage storage across the storing capacitor varies from 1.12 to 1.6 V. The PE-EH system can harvest power up to 86 µW without using any voltage source and is suitable for low-power applications. The proposed PE-EH module is compared with the existing similar EH system with better improvement in harvested power.</span>

A review of the state of art and prospects in energy storage systems for energy harvesting applications

“…As such, there are cycles in which there is an abundance of energy and times when there is a shortage of energy production. On the other side, this challenge can be overcome by utilizing technology known as energy storage systems (ESS) [24], [41], [45], [46], [49], [51],  ISSN: 2252-8814 Int J Adv Appl Sci, Vol. 13, No.…”

A regulatory power split strategy for energy management with battery and ultracapacitor

“…Numerous power control strategies are available in the literature [26]- [28] for hybrid energy structures. Controllers also rely on the internet of things [29], [30] for the data flow in PV based systems or AI as in [31] for multi agent systems utilising not only solar and wind but also SC, battery and generator, and utilising piezo electric energy harvesting [32]. HESS control strategies can also address the power quality issues [33] in the system.…”