Low temperature water-based extinguishing agent optimization method for energy storage battery cabinets

Abstract

The present application relates to energy storage safety and fire fighting technology, and provides a low-temperature water-based extinguishing agent optimization method for an energy storage battery cabinet. The method is executed by a processor: a formula is expressed as a mass percentage vector, a process parameter is constructed as a joint feasible region; a process-microstructure coupling relationship is established based on a data model; a performance vector is constructed under scene parameters and an efficiency function is established with propagation suppression, insulation margin and low-temperature spray accessibility as the core; a hard constraint set is constructed and a safety set is defined; a bench / cabin / battery cabinet multi-fidelity test is established, a unified probability agent model is trained to output intermediate variable prediction value, comprehensive efficiency prediction value and variance prediction value; a cost constraint knowledge gradient is selected in the safety set and a fidelity upgrade gate is set, and the test is iteratively updated by feedback, and finally the optimal formula and process are output according to the robustness criterion. The method realizes the collaborative optimization of low-temperature sprayability, live safety and propagation suppression, reduces the cabinet-level verification cost and improves the implementability.

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