2results about How to "Avoid forecast errors" patented technology

This invention proposes a method for predicting the health status of lithium batteries based on multidimensional features and neural network constant differential equations. The method includes the following steps: S1, preprocessing the capacity data and charging stage operation data collected during lithium battery operation, and constructing features from historical health status data; S2, constructing multidimensional feature inputs for health status prediction based on the charging stage operation data; S3, inputting the multidimensional features into a gated recurrent unit network to fuse and encode the historical health status sequence and constant current charging stage features to obtain a potential feature representation characterizing the battery degradation state; S4, comparing the predicted health status value output by the neural network constant differential equation model with the corresponding actual health status value, calculating the prediction error, and evaluating the prediction accuracy. This application achieves high-precision prediction of lithium battery health status by integrating a multidimensional feature screening mechanism and a continuous-time state evolution modeling method.

This application provides a computer simulation-based method and system for simulating thermal desorption, mass transfer, and heat transfer, relating to the field of computer simulation technology. This application obtains a constructed geometric model of a contaminated soil pile and acquires multiple sets of pore pressure gradients at different depths within the contaminated soil pile at different times, along with corresponding gas Darcy velocities. Support vector regression is used to perform regression analysis on these multiple sets of pore pressure gradients and gas Darcy velocities to calculate the permeability tensor. The Darcy resistance term in the momentum conservation equation is corrected based on the permeability tensor of each grid cell, generating a gas flow equation for each grid cell. The gas flow equations of all grid cells are then combined to obtain the gas velocity field. The velocity vector is used as a convection parameter and substituted into the pre-set heat transport equation and pollutant transport equation to obtain the simulation results of thermal desorption, mass transfer, and heat transfer, achieving accurate simulation of the dynamic permeability changes caused by the gas slippage effect under high vacuum extraction.