Invention Grant
- Patent Title: Method for estimating state of charge (SOC) of lithium-ion battery system based on artificial intelligence (AI)
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Application No.: US17916048Application Date: 2021-09-01
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Publication No.: US11796597B2Publication Date: 2023-10-24
- Inventor: Rui Xiong , Jinpeng Tian , Yanzhou Duan
- Applicant: BEIJING INSTITUTE OF TECHNOLOGY
- Applicant Address: CN Beijing
- Assignee: BEIJING INSTITUTE OF TECHNOLOGY
- Current Assignee: BEIJING INSTITUTE OF TECHNOLOGY
- Current Assignee Address: CN Beijing
- Agency: Bayramoglu Law Offices LLC
- Priority: CN 2011280497.9 2020.11.16
- International Application: PCT/CN2021/116032 2021.09.01
- International Announcement: WO2022/100229A 2022.05.19
- Date entered country: 2022-09-30
- Main IPC: G01R31/367
- IPC: 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.
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