Improve the Energy Harvesting Alternatives Using the Bond Graph Approach for Powering Critical Autonomous Devices

Abstract

In this article, new modelling is proposed of both the piezoelectric harvester dynamics and vehicular seat suspension in accordance with the Bond Graph approach. However, a mathematical analysis has been performed to provide insights into which piezoelectric harvester parameters that highly broaden the energy harvesting potentiality. Furthermore, the conducted mechatronic modelling included the change in both driver load, suspension and piezoelectric parameters of the harvestable power magnitude, vehicle acceleration, suspension dynamic, and tire deflection. This proposed system has been investigated under wide broad banded road levels (parametric weight and measurement acceleration) via mechatronic estimation methodology over a piezoelectric harvester system to improved harvesting efficiencies in different road conditions. During the system simulations, a piezoelectric harvester (3 degrees-of-freedom) model is connected to vehicle suspension being excited by randomized Gaussian signal. The simulation results are in general accordance with expectations in the harvestable power interval versus the input excitation parameters, road profile rate, and piezoelectric properties.