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公开(公告)号:US20220305941A1
公开(公告)日:2022-09-29
申请号:US17215587
申请日:2021-03-29
发明人: Ariel Telpaz , Barak Hershkovitz , Nadav Baron , Ravid Erez , Boris Kabisher , Omer Zerbib
摘要: A computer-implemented method for scheduling pre-departure charging for electric vehicles includes predicting a user-departure time based on a first machine learning prediction model. The method further includes determining a cabin temperature to be set for the user at the user-departure time based on a second machine learning prediction model. The method further includes determining a battery-temperature to be set at the user-departure time based on a third machine learning prediction model. The method further includes determining a present charge level of a battery of the electric vehicle. The method further includes computing a charging start-time to start charging the battery based on one or more attributes of a charging station to which the electric vehicle is coupled, and based on the user-departure time, the cabin temperature, and the battery-temperature. The method further includes initiating charging the battery at the charging start-time.
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公开(公告)号:US20220063440A1
公开(公告)日:2022-03-03
申请号:US17102968
申请日:2020-11-24
发明人: Claudia V. Goldman-Shenhar , Nadav Baron , Barak Hershkovitz , Dima Zevelev , Omar Gonzalez , Shani Avnet
IPC分类号: B60L53/66
摘要: Systems and method are provided for controlling a vehicle having one or more batteries. In one embodiment, a method includes: receiving, by a processor, data from at least two of a user of the vehicle, the vehicle, one or more charging stations, and one or more vehicle services; determining, by the processor, optimization criteria based on the received data; computing, by the processor, a charging route solution based on the optimization criteria; and generating, by the processor, interface data for presenting the charging route solution to the user of the vehicle.
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公开(公告)号:US11780346B2
公开(公告)日:2023-10-10
申请号:US17215587
申请日:2021-03-29
发明人: Ariel Telpaz , Barak Hershkovitz , Nadav Baron , Ravid Erez , Boris Kabisher , Omer Zerbib
CPC分类号: B60L53/66 , B60H1/0073 , B60L53/60 , G06N3/045 , G06N20/00 , H02J7/0048 , H02J7/0071 , B60L2240/34 , B60L2250/14 , B60L2260/46 , B60L2260/58
摘要: A computer-implemented method for scheduling pre-departure charging for electric vehicles includes predicting a user-departure time based on a first machine learning prediction model. The method further includes determining a cabin temperature to be set for the user at the user-departure time based on a second machine learning prediction model. The method further includes determining a battery-temperature to be set at the user-departure time based on a third machine learning prediction model. The method further includes determining a present charge level of a battery of the electric vehicle. The method further includes computing a charging start-time to start charging the battery based on one or more attributes of a charging station to which the electric vehicle is coupled, and based on the user-departure time, the cabin temperature, and the battery-temperature. The method further includes initiating charging the battery at the charging start-time.
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公开(公告)号:US11752884B2
公开(公告)日:2023-09-12
申请号:US17523341
申请日:2021-11-10
发明人: Barak Hershkovitz , Ravid Erez , Ariel Telpaz , Nadav Baron , Shani Avnet , Michael R. Colville , Yuval Gilboa , Oleg Karp , Benjamin Perahya
CPC分类号: B60L15/2045 , B60L1/003 , G01C21/3469 , B60L2240/48 , B60L2240/54 , B60L2240/622 , B60L2240/64 , B60L2260/28
摘要: An operating system for a vehicle having an electric vehicle (EV) drivetrain and a plurality of electrically-powered accessories is described. A controller determines, via a navigation system, a target off-road trail segment, and characterizes the subject vehicle, ambient conditions, and the target off-road trail segment to determine an estimated consumption of electric energy for the vehicle to operate over the target off-road trail segment. The EV drivetrain and the electrically-powered accessories are controlled during operation of the vehicle on the off-road trail segment based upon the estimated consumption of electric energy for the subject vehicle. This is done to minimize a likelihood of a low SOC event for the DC power source for the trail segment and to avoid a low battery state at a location that is distal from a charging station.
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公开(公告)号:US20200011687A1
公开(公告)日:2020-01-09
申请号:US16028094
申请日:2018-07-05
发明人: Todd P. Lindemann , Barak Hershkovitz , Yuval Gilboa , Nadav Baron , Dima Zevelev , Richard B. Weinberg
摘要: A system and method of tracking energy usage in a vehicle. The method, in one implementation, involves building an energy usage prediction model, obtaining a planned route for a vehicle that contains one or more planned route segments, applying the energy usage prediction model to each planned route segment of the one or more planned route segments of the planned route to obtain an energy usage plan, receiving onboard data from the vehicle, constructing an actual route based on the onboard data, and performing a match analysis between the planned route and the actual route based on the onboard data.
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公开(公告)号:US11067403B2
公开(公告)日:2021-07-20
申请号:US16028094
申请日:2018-07-05
发明人: Todd P. Lindemann , Barak Hershkovitz , Yuval Gilboa , Nadav Baron , Dima Zevelev , Richard B. Weinberg
摘要: A system and method of tracking energy usage in a vehicle. The method, in one implementation, involves building an energy usage prediction model, obtaining a planned route for a vehicle that contains one or more planned route segments, applying the energy usage prediction model to each planned route segment of the one or more planned route segments of the planned route to obtain an energy usage plan, receiving onboard data from the vehicle, constructing an actual route based on the onboard data, and performing a match analysis between the planned route and the actual route based on the onboard data.
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公开(公告)号:US20170285641A1
公开(公告)日:2017-10-05
申请号:US15477497
申请日:2017-04-03
IPC分类号: G05D1/00 , B60R16/023 , B60W30/095 , B60W30/182 , G05D1/02
CPC分类号: B60R16/0231 , B60K28/02 , B60W20/00 , B60W50/082 , B60W50/14 , B60W2050/0089 , B60W2540/04 , B60W2540/22 , B60W2540/28 , B60W2540/30 , B60W2550/00 , B60W2550/40
摘要: A system including an input group that, when executed by a processing unit, obtains contextual input data for use in determining a contextual mode, wherein the contextual input is based on at least one type of context. Example contexts include an environmental context; a user state; a user driving destination; a profile of the user; and a profile of another user. The system also includes a deliberation group that, when executed by the processing unit, determines, based on the contextual input data, a contextual mode for use in controlling a vehicle function. The system also includes an output group that, when executed by the hardware-based processing unit, initiates implementation, at a vehicle of transportation, of the contextual mode determined to control the vehicle function.
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公开(公告)号:US20230177840A1
公开(公告)日:2023-06-08
申请号:US17544195
申请日:2021-12-07
发明人: Ariel Telpaz , Ravid Erez , Michael Baltaxe , Barak Hershkovitz , Nadav Baron , Christopher A. Stanek
IPC分类号: G06V20/56 , H04N5/247 , G06V10/82 , G06V10/25 , G06V10/26 , G06V10/62 , G06V10/44 , B60R16/023 , G07C5/00 , G07C5/02 , G05D1/02
CPC分类号: G06V20/56 , H04N5/247 , G06V10/82 , G06V10/25 , G06V10/267 , G06V10/62 , G06V10/44 , B60R16/0231 , G07C5/008 , G07C5/02 , G05D1/0214 , G05D1/0246
摘要: Presented are intelligent vehicle systems for off-road driving incident prediction and assistance, methods for making/operating such systems, and vehicles networking with such systems. A method for operating a motor vehicle includes a system controller receiving geolocation data indicating the vehicle is in or entering off-road terrain. Responsive to the vehicle geolocation data, the controller receives, from vehicle-mounted cameras, camera-generated images each containing the vehicle's drive wheel(s) and/or the off-road terrain's surface. The controller receives, from a controller area network bus, vehicle operating characteristics data and vehicle dynamics data for the motor vehicle. The camera data, vehicle operating characteristics data, and vehicle dynamics data is processed via a convolutional neural network backbone to predict occurrence of a driving incident on the off-road terrain within a prediction time horizon. The system controller commands a resident vehicle system to execute a control operation responsive to the predicted occurrence of the driving incident.
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公开(公告)号:US20230146288A1
公开(公告)日:2023-05-11
申请号:US17523341
申请日:2021-11-10
发明人: Barak Hershkovitz , Ravid Erez , Ariel Telpaz , Nadav Baron , Shani Avnet , Michael R. Colville , Yuval Gilboa , Oleg Karp , Benjamin Perahya
CPC分类号: B60L15/2045 , G01C21/3469 , B60L1/003 , B60L2240/54 , B60L2240/48 , B60L2260/28 , B60L2240/64 , B60L2240/622
摘要: An operating system for a vehicle having an electric vehicle (EV) drivetrain and a plurality of electrically-powered accessories is described. A controller determines, via a navigation system, a target off-road trail segment, and characterizes the subject vehicle, ambient conditions, and the target off-road trail segment to determine an estimated consumption of electric energy for the vehicle to operate over the target off-road trail segment. The EV drivetrain and the electrically-powered accessories are controlled during operation of the vehicle on the off-road trail segment based upon the estimated consumption of electric energy for the subject vehicle. This is done to minimize a likelihood of a low SOC event for the DC power source for the trail segment and to avoid a low battery state at a location that is distal from a charging station.
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公开(公告)号:US12014552B2
公开(公告)日:2024-06-18
申请号:US17544195
申请日:2021-12-07
发明人: Ariel Telpaz , Ravid Erez , Michael Baltaxe , Barak Hershkovitz , Nadav Baron , Christopher A Stanek
IPC分类号: G06V20/56 , B60R16/023 , G05D1/00 , G06V10/25 , G06V10/26 , G06V10/44 , G06V10/62 , G06V10/82 , G07C5/00 , G07C5/02 , H04N23/90
CPC分类号: G06V20/56 , B60R16/0231 , G05D1/0214 , G05D1/0246 , G06V10/25 , G06V10/267 , G06V10/44 , G06V10/62 , G06V10/82 , G07C5/008 , G07C5/02 , H04N23/90
摘要: Presented are intelligent vehicle systems for off-road driving incident prediction and assistance, methods for making/operating such systems, and vehicles networking with such systems. A method for operating a motor vehicle includes a system controller receiving geolocation data indicating the vehicle is in or entering off-road terrain. Responsive to the vehicle geolocation data, the controller receives, from vehicle-mounted cameras, camera-generated images each containing the vehicle's drive wheel(s) and/or the off-road terrain's surface. The controller receives, from a controller area network bus, vehicle operating characteristics data and vehicle dynamics data for the motor vehicle. The camera data, vehicle operating characteristics data, and vehicle dynamics data is processed via a convolutional neural network backbone to predict occurrence of a driving incident on the off-road terrain within a prediction time horizon. The system controller commands a resident vehicle system to execute a control operation responsive to the predicted occurrence of the driving incident.
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