2134/24164
George Koutsourakis
George
Koutsourakis
Matt Cashmore
Matt
Cashmore
Simon R.G. Hall
Simon R.G.
Hall
Martin Bliss
Martin
Bliss
Tom Betts
Tom
Betts
Ralph Gottschalg
Ralph
Gottschalg
Compressed sensing current mapping spatial characterization of photovoltaic devices
Loughborough University
2017
Light beam induced current measurements
Solar cells
Compressed sensing
Spatial characterisation
Mechanical Engineering not elsewhere classified
Quantum Mechanics
2017-02-17 12:13:04
Journal contribution
https://repository.lboro.ac.uk/articles/journal_contribution/Compressed_sensing_current_mapping_spatial_characterization_of_photovoltaic_devices/9572468
A new photovoltaic (PV) device current mapping method has been developed, combining the recently introduced Compressed Sensing (CS) sampling theory with Light Beam Induced Current (LBIC) measurements. Instead of a raster scan, compressive sampling is applied using a Digital Micro-mirror Device (DMD). The aim is to significantly reduce the time required to produce a current map, compared to conventional LBIC measurements. This is achieved by acquiring fewer measurements than a full raster scan and by utilizing the fast response of the micro-mirror device to modulate measurement conditions. The method has been implemented on an optical current mapping setup built at the National Physical Laboratory (NPL) in the UK. Measurements with two different PV cells are presented in this work and an analytical description for realisation of an optimised CS current mapping system is provided. The experimental results illustrate the feasibility of the method and its potential to significantly reduce measurement time of current mapping of PV devices.