Abstract: Method and apparatus for battery evaluation and classification applies transient microcharge and/or microload pulses to an automotive battery. Classification is made on the basis of analysis of the resultant voltage profile or portions or dimensions thereof. In one embodiment the analysis utilizes a neural network or algorithm to assess a microcycle sequence of microload/microcharge tests utilizing one of a series of battery parameters including impedance as well as voltage characteristics to effect classification. Another embodiment adopts an optimized (not maximum) level of prior test-based data-training for a self-organizing neural network. A third embodiment utilizes prior test data correlation to enable algorithm-based classification without use of a neural network.