Chaotic dynamics applied to piezoelectric harvester energy prediction with time delay

Being able to scavenge and control the maximum power flow of the piezoelectric material is a required challenge because of the applications in nanotechnology. This work proposes a novel high-efficiency Low-power generator based on chaos true random number powered using piezoelectric energy harvesting.To improve the robustness and performance of scavenged and forecasted output power of a piezoelectric harvester, a theoretical analysis based on chaos dynamic control is adopted to replace traditional harvester and piezoelectric hysteresis comparators. Hence, a chaotic behaviour control scheme using regenerative harvester for modern extended electric vehicle (EV) is proposed. Simultaneously energy harvesting model and chaos control feature are designed using a genetic algorithm for the first time to extend the battery endurance. On the other hand, the harvester's chaos behaviour was controlled, and a maximum of 350.43 mW of the harvestable power across an optimum load of 90 Kg at the road level C (18 Hz) under 80 km/h vehicle speed has been produced. Finally, numerical simulations and theoretical measurements under the road roughness excitation indicate that the harvested power is significantly increased when the harvester undergoes chaotic motion. Higher productivity up to 64.98% at most and 54.24% on average were attained in the simulation. The system stability is proof that the proposed approach is beneficial and promising in controlling and generating power used for clean energy implementation in prolonged range EVs.