As a large number of lithium-ion batteries are being retired from electric vehicles, research on rapid screening of retired batteries is urgent. Aiming at the problem that the consistency screening time of batteries before secondary utilization is long due to the difference in initial state of traditional methods, this paper proposed a quick test method based on battery charging curve. By charging the battery to the cut-off voltage to ensure that the battery has the same initial state, instead of emptying the battery, the test time is only 12. 5% of the complete battery charging and discharging time, and the screening efficiency was largely improved. After the features were extracted, the K-means++ clustering algorithm combined with Canopy was used to verify the results on NASA data sets and laboratory batteries. The clustering accuracy reached 80. 5%, which proved the feasibility of the designed rapid test method.