Lithium site prediction method, device and computer equipment

Abstract

Provided are a lithium precipitation site prediction method, device and computer equipment, and the method comprises the following steps: establishing an intermediate electrochemical model according to attribute information of a battery to be predicted and material characteristic data input by a user, and determining a predicted heat generation power density according to the correlation of each virtual component; determining the predicted cell temperature of the battery to be predicted based on the predicted heat generation power density and a heat transfer model, and taking the predicted cell temperature as the initial cell temperature of the intermediate electrochemical model; acquiring the real-time voltage and real-time cell temperature of the intermediate electrochemical model under a first preset state, and determining a target electrochemical model according to the real-time voltage, the real-time cell temperature and the intermediate electrochemical model; acquiring the potential-time curve of a plurality of detection regions in the target electrochemical model under a second preset state, and determining the predicted lithium precipitation site of the battery to be predicted under the second preset state according to the potential-time curves. The lithium precipitation site of a lithium battery can be simply and non-destructively predicted.

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