The invention provides a
thermal runaway prevention and heat dissipation optimization method and
system based on a
capacitor module, and relates to the technical field of
capacitor module thermal management, and the method comprises the steps: extracting the multi-source operation data features of a single
capacitor through an improved layered
visual attention network, carrying out the data
complementation through combining a bidirectional probability
diffusion model, and obtaining a multi-source operation data feature of the single capacitor; and discovering a causal relationship between
network identification data by using a causal structure, generating a performance analysis report, constructing a spatio-temporal dynamic graph neural network to predict temperature field distribution, performing fault diagnosis and
uncertainty quantification in combination with a multi-
task learning framework, further constructing a layered early warning mechanism, and performing early warning based on a layered
reinforcement learning framework. And a
dynamic prediction map and a performance analysis report are combined, a heat dissipation strategy is optimized, cooperative control of the heat dissipation units is realized, an optimal heat dissipation scheme is finally obtained,
thermal runaway is effectively prevented, and the safety and reliability of the capacitor module are improved.