Digital twin battery construction method based on electromagnetic detection technology

The invention discloses a digital twin battery construction method based on an electromagnetic detection technology, and the method comprises the steps: collecting energy storage batteries of different models and different batches, carrying out the electromagnetic signal detection of each energy storage battery in different charging and discharging states through an electromagnetic detection device, and synchronously collecting the electricity, heat and corresponding state performance parameters of the energy storage batteries; isomerous data synchronous calibration is carried out, collected electromagnetic data are cleaned through pulse detection and quality evaluation, and low signal-to-noise ratio data are deleted; a deep neural network model based on multi-task learning is defined to estimate different battery state performance parameters as sub-tasks, respective loss functions of the sub-tasks are designed, a deep neural network model based on feature weight sharing is established, and a mapping relation