Energy storage battery multi-risk type early warning method based on cloud-side cooperation

The invention relates to an energy storage battery multi-risk type early warning method based on cloud edge cooperation. The method comprises the following steps: step 1, collecting real-time operation temperature, current, voltage and gas signals of a battery at an edge end; 2, performing cleaning, synchronization and format conversion preprocessing on the data, and uploading the processed data to a cloud; 3, integrating a battery state evolution model in the cloud, and performing battery state updating and parameter estimation by using the model and the uploaded data; 4, performing real-time risk assessment by the edge end to realize short-time early warning; according to the scheme, on the basis that the cloud end obtains parameter estimation in different battery states, the state parameters are transmitted to the edge end, and long-time and medium-time early warning is carried out. And according to the real-time data of the energy storage battery and the state evolution database, precise prediction of the