- 专利标题: Using machine learning techniques to estimate available energy for vehicles
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申请号: US17387131申请日: 2021-07-28
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公开(公告)号: US11592824B2公开(公告)日: 2023-02-28
- 发明人: Kaiwen Gu , Matthew Nubbe
- 申请人: WING Aviation LLC
- 申请人地址: US CA Mountain View
- 专利权人: WING Aviation LLC
- 当前专利权人: WING Aviation LLC
- 当前专利权人地址: US CA Mountain View
- 代理机构: Christensen O'Connor Johnson Kindness PLLC
- 主分类号: G05D1/02
- IPC分类号: G05D1/02 ; B60L58/12 ; G06N3/08 ; G06N20/00 ; G05D1/00 ; G01C21/34 ; G06N5/04 ; G06N5/046
摘要:
Controlling a vehicle according to a trained neural network model capable of being used to generate an output from which one or more vehicle operating variables can be estimated. The neural network model can be used to process, as input, aggregated data corresponding to operational and/or environmental characteristics experienced by the vehicle during at least a portion of a voyage. The aggregated data can include a range of values collected over a period of time when the vehicle is traversing the portion of the voyage. The output generated by the neural network model, based on processing the input, can be further processed in order to determine, for example, an estimated state of charge and/or an estimated remaining flight time for the vehicle. Such estimated values can thereafter be used by a controller of the vehicle to maintain course or maneuver to a charging station.
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