Testing with Artificial Neural Network to the Self-Discharge Degree of Lead-Acid Battery
Fan Hongjun Yin Hexiang Zheng Weidong (Naval Aeronautical Engineering Institute Qingdao Branch)
A measurement to testing the self-discharge degree of lead-acid battery is presented based on artificial neural network. And A BP neural network with the battery opening voltage working temperature and degree of new or old as inputs is established. The example shows that the BP network can test the self-discharge degree expediently, and the result is highly veracious.
【CateGory Index】： TP183;TM912.1