- 专利标题: Electric vehicle charging optimization based on predictive analytics utilizing machine learning
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申请号: US16998833申请日: 2020-08-20
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公开(公告)号: US12103418B2公开(公告)日: 2024-10-01
- 发明人: Ronald J. Barber , Chad Eric DeLuca , Rishabh Anup Nair , Uche Uba , Saisujit Madiraju , Niranjan Abhijeet Mirashi , Francisco Loya , Emmanuel Shedu
- 申请人: International Business Machines Corporation
- 申请人地址: US NY Armonk
- 专利权人: International Business Machines Corporation
- 当前专利权人: International Business Machines Corporation
- 当前专利权人地址: US NY Armonk
- 代理商 Stosch Sabo
- 主分类号: B60L9/00
- IPC分类号: B60L9/00 ; B60L53/16 ; B60L53/62 ; G06N20/00 ; G08G1/017 ; G08G1/14 ; H02J7/00
摘要:
A method for managing charging resources of a charging system for plug-in electric vehicles (PEVs), the charging system including a central recording center including a tracking database. The method including initiating a charging session to a first PEV based on detecting that the first PEV has been plugged into a charging station. The first PEV is associated with the charging session in the tracking database. The first PEV is associated, in the tracking database, to a first user and a first PEV profile. The first PEV is charged in accordance with information from the first PEV profile. Charging session data is monitored and stored in the tracking database during the charging session. A machine learning model is generated based on collective charging data. Charge completion time of the first PEV is predicted based on the machine learning model.
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