公开(公告)号：US11796597B2

公开(公告)日：2023-10-24

申请号：US17916048

申请日：2021-09-01

Applicant: BEIJING INSTITUTE OF TECHNOLOGY

Inventor： Rui Xiong ,  Jinpeng Tian ,  Yanzhou Duan

IPC: G01R31/367 ,  G01R31/378

CPC classification number: G01R31/367 ,  G01R31/378

Abstract: A method for estimating the state of charge (SOC) of a lithium-ion battery system based on artificial intelligence (AI) is provided. In the method, the relationship between the charging data segments and the SOC of the battery system is established through deep learning, and the SOC at any stage of the charging process can be corrected. SOC in a discharging process is estimated through ampere-hour integration. The estimation method is adaptively updated with a change in the working state of the battery system.