New energy vehicle power battery thermal runaway prediction method and system based on space-time fusion

Abstract

The present application relates to the new energy automobile power battery working condition monitoring technical field, more specifically, relate to a kind of new energy automobile power battery thermal runaway prediction method and system based on space-time fusion.The present application is based on the historical state data of target power battery processing, respectively from time characteristic angle, spatial characteristic angle is extracted from historical state data time characteristic, spatial characteristic, and further from time angle, space angle predicts future time, space two kinds of state data;Finally based on the variance of prediction model, the best weighting coefficient of two kinds of predicted state data is calculated, and two kinds of state data are weighted, and the final predicted value is obtained by space-time fusion;Through simulation comparison, the prediction effect of the present application is closer to the true value than the prediction method considering only time angle.

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