Professional diagnosis method of battery performance analysis
First Claim
1. A professional diagnosis method of battery performance analysis comprising the steps of:
- measuring parameters of a battery set with two or more batteries by a measuring device, the parameters including maximum voltage of each battery in an equalized charge period, minimum voltage of each battery in an equalized charge period, float voltage dispersion ratio of a single battery, float voltage dispersion ratio of the battery set, battery conductance at end of a discharge r(i), voltage of each battery at end of a short-term discharge, voltage difference and temperature of each battery during a short-term charge and discharge;
then inputting the parameters to an artificial neural network including a computer which calculates and outputs predicted battery performance and gives relevant operating advices;
wherein said float voltage dispersion ration of a single battery is calculated by equation (3);
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Abstract
The present invention discloses a professional diagnosis method of battery performance analysis, Through the overall evaluation of experiential data library, several parameters about the battery are input into the artificial neural network, outputting capacity prediction and service life prediction of each battery, etc. and giving useful advices for each battery. Therefore the result is much more in conformity with the real condition of the battery. Besides, it designs an adaptive learning function of the abovementioned artificial neural network. This invention effectively avoids the defect of evaluating the VRLA battery performance at single moment, from single perspective and by single method, and it does the real-time monitoring and evaluating for the performance of the battery during VRLA battery working period, which is easy to operate, and avoids checking discharge test to the battery so that it doesn'"'"'t affect the cycle life of the VRLA battery.
13 Citations
9 Claims
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1. A professional diagnosis method of battery performance analysis comprising the steps of:
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measuring parameters of a battery set with two or more batteries by a measuring device, the parameters including maximum voltage of each battery in an equalized charge period, minimum voltage of each battery in an equalized charge period, float voltage dispersion ratio of a single battery, float voltage dispersion ratio of the battery set, battery conductance at end of a discharge r(i), voltage of each battery at end of a short-term discharge, voltage difference and temperature of each battery during a short-term charge and discharge; then inputting the parameters to an artificial neural network including a computer which calculates and outputs predicted battery performance and gives relevant operating advices; wherein said float voltage dispersion ration of a single battery is calculated by equation (3); - View Dependent Claims (2, 3, 4, 5)
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6. A professional diagnosis method of battery performance analysis comprising the steps of:
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measuring parameters of a battery set with two or more batteries by a measurement device, the parameters including maximum voltage of each battery in an equalized charge period, minimum voltage of each battery in an equalized charge period, float voltage dispersion ratio of a single battery, float voltage dispersion ratio of the battery set, battery conductance at end of a discharge r(i), voltage of each battery at end of a short-term discharge, voltage difference and temperature of each battery during a short-term charge and discharge; and inputting the parameters to an artificial neural network including a computer which calculates and outputs predicted battery performance and gives relevant operating advices; wherein said float voltage dispersion ratio of a single battery is calculated by equation (3); - View Dependent Claims (7, 8, 9)
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Specification