- 专利标题: Modular machine-learning based system for predicting vehicle energy consumption during a trip
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申请号: US17590019申请日: 2022-02-01
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公开(公告)号: US12085399B2公开(公告)日: 2024-09-10
- 发明人: Vladimir Suplin , Klaus Trangbaek , Daniel Urieli
- 申请人: GM GLOBAL TECHNOLOGY OPERATIONS LLC
- 申请人地址: US MI Detroit
- 专利权人: GM Global Technology Operations LLC
- 当前专利权人: GM Global Technology Operations LLC
- 当前专利权人地址: US MI Detroit
- 代理机构: Quinn IP Law
- 主分类号: G01C21/34
- IPC分类号: G01C21/34 ; G01C21/36
摘要:
A system for predicting energy consumption by a vehicle during a trip has a controller adapted to receive a route plan for the trip. The controller has a processor and tangible, non-transitory memory on which instructions are recorded. The system has a plurality of machine learning modules, including a behavior predictor, a driving consumption predictor and an auxiliary consumption predictor. The controller is adapted to predict a total energy consumed by the vehicle during the trip by executing the plurality of machine learning modules. The driving consumption predictor is adapted to predict a primary energy consumed for propelling the vehicle based in part on the route plan. The auxiliary consumption predictor is adapted to predict a secondary energy consumed by the vehicle for non-propulsion purposes. The behavior predictor is adapted to predict an average vehicle speed based at least partially on traffic conditions.
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