Study on the aerial storage battery capacity testing method with the fuzzy neural network data fusion technique

Based on the analysis of the electrochemistry dynamic performance of the aerial storage battery, the concept of dynamic resistance was proposed. By plenty of experiments, it was found that there was a close correlation between the dynamic resistance and the aerial storage battery capacity. The dynamic resistance, the density and the temperature of the electrolyte were used as the eigenvectors, which were obtained by the dynamic electronic load and multi-sensor system. In order to determine the aerial storage battery capacity, the data fusion technique of the fuzzy neural network was used. These eigenvectors were treated as the input parameters of the. And the aerial storage battery capacity was the output. Then the system was applied to test the performance of a set of 12 volt 100 ampere-hour aerial storage batteries. The result indicated that the testing precision of the aerial storage battery capacity could be awfully improved by the method mentioned before.