The invention discloses a similar product life migration prediction method and
system, and relates to the technical field of similar product migration learning, and the method comprises the steps: preprocessing to-be-tested formula similar product short-term cycle
life test data and other formula battery full-
life test data, and obtaining target sample data and a plurality of pieces of training data; obtaining migratable sample data for predicting the service life of the cross-formula similar product by carrying out minimum screening on curve form, capacity degradation rate similarity, servicelife distribution similarity and
distance measurement, carrying out service life migration prediction on the cross-formula similar product by utilizing a service life prediction model adapted to themigratable sample data, and obtaining a life prediction result. According to the invention, the accurate prediction of the cross-formula residual life of the
lithium ion battery is realized, the prediction accuracy can reach 99.9% at most, the test time and cost in the design and development process of the
lithium battery can be effectively saved, and the method has considerable economic benefitsand application value.