Internal quantum efficiency analysis of solar cell by genetic algorithm

To investigate factors limiting the performance of a GaAs solar cell, genetic algorithm is employed to fit the experimentally measured internal quantum efficiency (IQE) in the full spectra range. The device parameters such as diffusion lengths and surface recombination velocities are extracted. Electron beam induced current (EBIC) is performed in the base region of the cell with obtained diffusion length agreeing with the fit result. The advantage of genetic algorithm is illustrated.

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This work was supported in part by National Basic Research Program (Grant No. 2007CB936701), the Knowledge Innovation Project of CAS (Grant No. KGCX2-YW-324) and the International Cooperation Project of MOST (Grant No. 2009DFR60420).

国内

This work was supported in part by National Basic Research Program (Grant No. 2007CB936701), the Knowledge Innovation Project of CAS (Grant No. KGCX2-YW-324) and the International Cooperation Project of MOST (Grant No. 2009DFR60420).