Abstract: This invention discloses a method of performance analysis for VRLA battery which applies the method of using the float voltage dispersion ratio of the battery to evaluate the battery performance from a new perspective, and it is an online real-time test which applies several ways to evaluate the performance of the VRLA battery. According to the relevance between the dispersion of the float charge voltage of the battery and its performance, the method gets the result of the battery performance through calculating the battery float charge voltage dispersion ratio and making it relevant with the battery performance. It has small workload, convenient operation and no danger to the system when doing online testing. It also won't affect the cycle life of the VRLA battery.

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.