(GB2328288-A)      The method involves applying a transient electrical test parameter to the terminals of a battery to be tested. A characteristic of the battery's reaction is utilised to the test parameter as a basis for the determination. The method has the step of utilising the battery's reaction to the transient test parameter to provide a measure of the condition of the battery by analysis of the waveform shape or profile of an electrical value representative of the battery's reaction to the test parameter.    The step of analysis of the waveform profile of the electrical value of the battery's reaction to the test parameter is effected without employing a neural network but by an algorithm which identifies a corresponding one of two or more battery condition classifications, and the corresponding one classification exhibiting a correlation with time-defined voltage aspects of the waveform profile of the electrical value.    ADVANTAGE -   Recognises particular characteristics of complex data fed in and effects efficient classification on basis of relatively limited data.    (EP1004032-A1)      The method involves applying a transient electrical test parameter to the terminals of a battery to be tested. A characteristic of the battery's reaction is utilised to the test parameter as a basis for the determination. The method has the step of utilising the battery's reaction to the transient test parameter to provide a measure of the condition of the battery by analysis of the waveform shape or profile of an electrical value representative of the battery's reaction to the test parameter.    The step of analysis of the waveform profile of the electrical value of the battery's reaction to the test parameter is effected without employing a neural network but by an algorithm which identifies a corresponding one of two or more battery condition classifications, and the corresponding one classification exhibiting a correlation with time-defined voltage aspects of the waveform profile of the electrical value.    ADVANTAGE -   Recognises particular characteristics of complex data fed in and effects efficient classification on basis of relatively limited data.    (CN1264471-A)      The method involves applying a transient electrical test parameter to the terminals of a battery to be tested. A characteristic of the battery's reaction is utilised to the test parameter as a basis for the determination. The method has the step of utilising the battery's reaction to the transient test parameter to provide a measure of the condition of the battery by analysis of the waveform shape or profile of an electrical value representative of the battery's reaction to the test parameter.    The step of analysis of the waveform profile of the electrical value of the battery's reaction to the test parameter is effected without employing a neural network but by an algorithm which identifies a corresponding one of two or more battery condition classifications, and the corresponding one classification exhibiting a correlation with time-defined voltage aspects of the waveform profile of the electrical value.    ADVANTAGE -   Recognises particular characteristics of complex data fed in and effects efficient classification on basis of relatively limited data.    (KR2001013968-A)      The method involves applying a transient electrical test parameter to the terminals of a battery to be tested. A characteristic of the battery's reaction is utilised to the test parameter as a basis for the determination. The method has the step of utilising the battery's reaction to the transient test parameter to provide a measure of the condition of the battery by analysis of the waveform shape or profile of an electrical value representative of the battery's reaction to the test parameter.    The step of analysis of the waveform profile of the electrical value of the battery's reaction to the test parameter is effected without employing a neural network but by an algorithm which identifies a corresponding one of two or more battery condition classifications, and the corresponding one classification exhibiting a correlation with time-defined voltage aspects of the waveform profile of the electrical value.    ADVANTAGE -   Recognises particular characteristics of complex data fed in and effects efficient classification on basis of relatively limited data.