Ye, G and Yan, J and Wong, ZJ and Soga, K and Seshia, A (2009) Optimisation of a piezoelectric system for energy harvesting from traffic vibrations. In: UNSPECIFIED.Full text not available from this repository.
Piezoelectric systems are viewed as a promising approach to energy harvesting from environmental vibrations. The energy harvested from real vibration sources is usually difficult to estimate analytically. Therefore, it is hard to optimise the associated energy harvesting system. This work investigates the optimisation of a piezoelectric cantilever system using a genetic algorithm based approach with numerical simulations. The genetic algorithm globally considers the effects of each parameter to produce an optimal frequency response to scavenge more energy from the real vibrations while the conventional sinusoidal based method can only optimise the resistive load for a given resonant frequency. Experimental acceleration data from the vibrations of a vehicle-excited manhole cover demonstrates that the optimised harvester automatically selects the right frequency and also synchronously optimises the damper and the resistive load. This method shows great potential for optimizing the energy harvesting systems with real vibration data. ©2009 IEEE.
|Item Type:||Conference or Workshop Item (UNSPECIFIED)|
|Uncontrolled Keywords:||Energy harvesting Genetic algorithm Optimisation Piezoelectric system Traffic vibration|
|Divisions:||Div D > Geotechnical and Environmental|
|Depositing User:||Cron job|
|Date Deposited:||16 Jul 2015 14:12|
|Last Modified:||31 Jul 2015 00:57|