Thermal runaway multi-data fusion detection of lithium battery based on Transformer neural network
In order to meet the demand for efficient and accurate detection of lithium ion battery thermal runaway,this study de-signed a lithium battery thermal runaway experimental platform.STM32F103ZET6 single chip microcomputer was used to con-nect four sensors such as carbon monoxide,carbon dioxide,hy-drogen and NTC to collect characteristic parameters in real time.At the same time,PyroSim is used to simulate the experimental environment and generate high-quality simulation data to supple-ment the experimental data.Based on the pytorch platform,we designed a Transformer neural network that can output the nor-mal,early warning and thermal runaway states of lithium batter-ies.By using experimental data and simulation data for training,we successfully achieved fusion detection of thermal runaway data of lithium batteries,and verified the effectiveness of the algorithm.
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