METHOD FOR DETECTING TROUBLE OF SOLAR CELL MODULE AND APPARATUS THEREOF

The present invention relates to a method for detecting a failure of a solar cell module and a device thereof. According to the present invention, the method for detecting a failure of a solar cell module includes: a step of measuring the voltage of each of the plurality of battery cells which const...

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Main Authors KIM, IL BAE, JUNG, YOUNG JIN, LEE, SANG HO, LEE, HYUNG LAK, LEE, CHUL SEUNG, CHO, HYUN CHEOL
Format Patent
LanguageEnglish
Korean
Published 26.03.2014
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Summary:The present invention relates to a method for detecting a failure of a solar cell module and a device thereof. According to the present invention, the method for detecting a failure of a solar cell module includes: a step of measuring the voltage of each of the plurality of battery cells which constitute a solar cell module; a step of calculating the average and the standard deviation of the voltage values of the battery cells; a step of calculating a probability density function from the average and the standard deviation; and a step of determining if the voltage of each battery cell is normal using the maximum likelihood decision rule based on the probability density function. According to the method for detecting a failure of a solar cell module and the device thereof, it is possible to detect a failure of each battery cell just by comparing with an adjacent battery cell based on the voltage and the current acquired from each battery cell, without additional sensors such as a temperature sensor and an insolation sensor used in the existing method. The present invention is able to easily determine if the voltage and the current of each battery cell is normal using the maximum likelihood decision rule based on the voltage and the current of each of the battery cells. [Reference numerals] (AA) Start; (BB) End; (S210) Measure the voltage and the current of each of a plurality of battery cells; (S220) Calculate the averages and the standard deviations of the voltage values and the current values; (S230) Calculate a probability density function from the averages and the standard deviations; (S240) Determine if each battery cell is normal using the maximum likelihood decision scheme based on the probability density function; (S250) Record a data log about malfunctioning battery cells and issue a warning
Bibliography:Application Number: KR20130033631