Rapid Prediction of Retired Ni-MH Batteries Capacity Based on Reliable Multi-Parameter Driven Analysis

In order to solve the problems of long-time consumption and high energy in existing capacity detection methods retired Ni-MH batteries, a fast reliable prediction method for batteries by multi-parameter driven analysis was proposed this paper. This mainly obtains several parameters through short-time measurement pulse rapid nondestructive testing. Then, Pearson correlation coefficient KS-test were used analyze between two verify same distribution. Finally, SVR predict battery discharge capacity. The results show that volume expansion thickness difference ?d, AC internal resistance R, terminal voltage U battery, charge polarization Rf1 Rf2 charging power P2 are strongly negatively correlated with capacity, these characteristic can effectively reliably reflect structural characteristics battery. Additionally, mean relative error established model is 5.87%, lowest 1.32%. effect good, which provides certain reference value subsequent consistent sorting method.