A power battery safety risk early warning method based on safety entropy

Abstract

The application belongs to the technical field of lithium ion batteries, and specifically discloses a power battery safety risk early warning method based on safety entropy, which comprises the following steps: establishing a total safety entropy model considering various types of use data of the battery; obtaining various use data of the battery before a damage accident occurs, and calculating the safety entropy of the experimental battery capable of causing damage according to the total safety entropy model and taking the safety entropy as a safety entropy boundary; calculating the safety entropy of the battery at the current use time through the total safety entropy model; comparing the safety entropy in the safety entropy boundary S3 to classify the battery in multiple risk levels from low to high, and issuing a thermal runaway early warning for the battery with the highest risk; and has the following advantages: the problem that the threshold is difficult to calculate when migrating on different battery types, systems and system structures is solved; and the characteristics are extracted through experiments or real thermal runaway fire data, and the characteristics are better matched to the real situation when being weighted and coupled.

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