Analysis of Li-ion Batteries Health Estimation Technology Route Based on Patent Big Data

With the continuous advancement of artificial intelligence technology, its application in lithium battery health prediction has been increasingly widespread.From the vantage point of the variations in the number of patent applications and focal points, and by leveraging the IPC classification, an analysis is carried out on the macro-distribution of patent applications and the burgeoning growth of relevant applications.Through the text data within the patents, the branches and technical trajectories of artificial intelligence based lithium battery health prediction technology are gradually becoming more distinct.This approach enables the prediction of technological development trends and challenges in this field, thereby assisting research institutions and enterprises in closely tracking the technological progress in a specific domain.