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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
Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
Inventor： Ariel Telpaz , Barak Hershkovitz , Nadav Baron , Ravid Erez , Boris Kabisher , Omer Zerbib
Abstract: 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
Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
Inventor： Claudia V. Goldman-Shenhar , Nadav Baron , Barak Hershkovitz , Dima Zevelev , Omar Gonzalez , Shani Avnet
IPC: B60L53/66
Abstract: 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：US20240013105A1
公开(公告)日：2024-01-11
申请号：US17857496
申请日：2022-07-05
Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
Inventor： Zahy Bnaya , Nadav Baron , Refael Blanca , Ravid Erez , Ariel Telpaz
CPC classification number: G06Q10/047 , G08G1/20
Abstract: A system for optimizing ownership cost of a fleet having electric vehicles includes a command unit adapted to selectively execute a simulation module, a sampling module and an optimization module. The command unit is configured to construct a multi-agent model based at least partially on historical fleet trip data and mobility pattern data of the fleet. Route data for a set of fleet tasks is obtained, including charging infrastructure data. The command unit is configured to simulate different configurations of the electric vehicles carrying out the set of fleet tasks over a predefined period, via the simulation module, based in part on the multi-agent model and the route data. The command unit is configured to determine an optimal configuration from the different configurations of the electric vehicles, via the optimization module. The optimal configuration minimizes investment and operational costs of the fleet.
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4.发明公开公开(公告)号：US20230177840A1
公开(公告)日：2023-06-08
申请号：US17544195
申请日：2021-12-07
Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
Inventor： Ariel Telpaz , Ravid Erez , Michael Baltaxe , Barak Hershkovitz , Nadav Baron , Christopher A. Stanek
IPC: G06V20/56 , H04N5/247 , G06V10/82 , G06V10/25 , G06V10/26 , G06V10/62 , G06V10/44 , B60R16/023 , G07C5/00 , G07C5/02 , G05D1/02
CPC classification number: G06V20/56 , H04N5/247 , G06V10/82 , G06V10/25 , G06V10/267 , G06V10/62 , G06V10/44 , B60R16/0231 , G07C5/008 , G07C5/02 , G05D1/0214 , G05D1/0246
Abstract: 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
Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
Inventor： Barak Hershkovitz , Ravid Erez , Ariel Telpaz , Nadav Baron , Shani Avnet , Michael R. Colville , Yuval Gilboa , Oleg Karp , Benjamin Perahya
CPC classification number: B60L15/2045 , G01C21/3469 , B60L1/003 , B60L2240/54 , B60L2240/48 , B60L2260/28 , B60L2240/64 , B60L2240/622
Abstract: 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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Patent Agency Ranking
公开(公告)号：US11780346B2
公开(公告)日：2023-10-10
申请号：US17215587
申请日：2021-03-29
Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
Inventor： Ariel Telpaz , Barak Hershkovitz , Nadav Baron , Ravid Erez , Boris Kabisher , Omer Zerbib
CPC classification number: B60L53/66 , B60H1/0073 , B60L53/60 , G06N3/045 , G06N20/00 , H02J7/0048 , H02J7/0071 , B60L2240/34 , B60L2250/14 , B60L2260/46 , B60L2260/58
Abstract: 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
Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
Inventor： Barak Hershkovitz , Ravid Erez , Ariel Telpaz , Nadav Baron , Shani Avnet , Michael R. Colville , Yuval Gilboa , Oleg Karp , Benjamin Perahya
CPC classification number: B60L15/2045 , B60L1/003 , G01C21/3469 , B60L2240/48 , B60L2240/54 , B60L2240/622 , B60L2240/64 , B60L2260/28
Abstract: 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
Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
Inventor： Todd P. Lindemann , Barak Hershkovitz , Yuval Gilboa , Nadav Baron , Dima Zevelev , Richard B. Weinberg
Abstract: 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：US12242984B2
公开(公告)日：2025-03-04
申请号：US17857496
申请日：2022-07-05
Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
Inventor： Zahy Bnaya , Nadav Baron , Refael Blanca , Ravid Erez , Ariel Telpaz
IPC: G08G1/00 , G06Q10/047
Abstract: A system for optimizing ownership cost of a fleet having electric vehicles includes a command unit adapted to selectively execute a simulation module, a sampling module and an optimization module. The command unit is configured to construct a multi-agent model based at least partially on historical fleet trip data and mobility pattern data of the fleet. Route data for a set of fleet tasks is obtained, including charging infrastructure data. The command unit is configured to simulate different configurations of the electric vehicles carrying out the set of fleet tasks over a predefined period, via the simulation module, based in part on the multi-agent model and the route data. The command unit is configured to determine an optimal configuration from the different configurations of the electric vehicles, via the optimization module. The optimal configuration minimizes investment and operational costs of the fleet.
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公开(公告)号：US20250029026A1
公开(公告)日：2025-01-23
申请号：US18355014
申请日：2023-07-19
Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
Inventor： Ariel Telpaz , Zahy Bnaya , Refael Blanca , Nadav Baron , Neeraj R. Gautama , Laura Chmielewski
IPC: G06Q10/0631 , G06Q10/04 , G06Q30/0283 , G06Q30/08
Abstract: A system and method for resource sharing among vehicle fleets using a bidding mechanism is presented. A fleet scheduler generates a bidding proposal for one or more unassigned tasks associated with a first fleet of vehicles, where the bidding proposal is associated with a second fleet of vehicles associated with an excess quantity of resources. An online platform receives the bidding proposal for the one or more unassigned tasks and determines, using the bidding proposal and based on an auctioning scheme, one or more winning bids. The one or more winning bids includes assigning the one or more unassigned tasks from the first fleet of vehicles to the second fleet of vehicles with the excess quantity of resources.
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