Research of battery capacity fiber on-line intelligent testing technology based on SVM

The support vector machine (SVM) is a learning arithmetic which based on structural risk minimization theory and has highly generalized performance. The paper aiming at the lead-acid battery capacity testing course, proposes a kind of multi-input information fusion technology based on SVM. Using the sensor to test the battery capacity under different charge and discharge states, since the input voltage information is related to the output electrolyte concentration, at the same time the concentration is related to the battery capacity very well, so adopt SVM to fit this complex non-linear course. The simulation result turned out good fitting effect and it controls the error between -0.012 to 0.015. The testing result indicated that the theory value is almost identical to the actual value; thereby show that the lead-acid battery capacity fiber on-line intelligent testing technology based on SVM is feasible.