This work describes the behavior of a piezoelectric energy harvesting system that uses a single inductor and the concept of energy investment for the whole of building a behavioral model for the harvester and a high-level system analysis approach. The harvester modules and control were specified and described in Verilog-A to fully model the energy harvester operation. Simulation results have shown the harvesting mechanism based on the concept of energy-investment and model accuracy, and the effect of the invested energy on the battery charging profile, highlighting the trade-off a constant energy investment time poses to the harvester, unable to meet the requirements a non-constant input vibration sets to system. An adaptive energy investment time based on a P&O algorithm was proposed to cope with this trade-off and added to the harvester model. Performed simulations with adaptive energy investment have shown improved energy harvesting, and that such improvement increases as the input power increases, since the system can tune the energy investing mechanism to the input vibrations.

这项工作描述了使用单个电感器的压电式能量收集系统的行为以及整个构建能量收集器行为模型和高级系统分析方法的能量投资概念。在Verilog-A中指定并描述了收集器模块和控件，以对能量收集器的运行进行完全建模。仿真结果表明，基于能量投资的概念和模型精度的收割机制，以及所投入的能量对电池充电曲线的影响，突显了恒定的能量投资时间对收割机造成的折衷，无法满足非恒定输入振动对系统的要求。基于P＆P的自适应能源投资时间 提出了O算法来应对这种折衷，并将其添加到收割机模型中。使用自适应能量投资进行的仿真表明，能量收集得到了改善，并且随着系统输入功率的增加，这种改进也随着输入功率的增加而增加，因为系统可以将能量投资机制调整为输入振动。