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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：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：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：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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Patent Agency Ranking
6.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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公开(公告)号：US20240381079A1
公开(公告)日：2024-11-14
申请号：US18314937
申请日：2023-05-10
Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
Inventor： Lakshmi V. Thanayankizil , Sandeep U. Menon , Nnamdi U. Uwakwe , Thomas Doran , Ravid Erez
Abstract: Presented are vehicle charging systems and control logic provisioning smart vehicle charging using encrypted wireless connectivity, methods for making/using such systems, and vehicles interoperable with such systems. A method of controlling a charging operation of a vehicle includes a vehicle controller retrieving a unique ID assigned to the vehicle from a memory device. When approaching an electric vehicle charging station (EVCS), the controller responsively embeds the unique ID in a wireless message, including encrypting and inserting the unique ID into a dedicated extension frame within the wireless message. The vehicle then broadcasts the wireless message with the embedded and encrypted unique ID. An EVCS controller parses the encrypted unique ID from the wireless message and transmits the encrypted unique ID to a back-office (BO) vehicle services provider. When the BO vehicle services provider decrypts and authenticates the unique ID, the EVCS controller responsively commences charging of the vehicle's battery pack.
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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
Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
Inventor： Ariel Telpaz , Ravid Erez , Michael Baltaxe , Barak Hershkovitz , Nadav Baron , Christopher A Stanek
IPC: G06V20/56 , B60R16/023 , G05D1/00 , G06V10/25 , G06V10/26 , G06V10/44 , G06V10/62 , G06V10/82 , G07C5/00 , G07C5/02 , H04N23/90
CPC classification number: G06V20/56 , B60R16/0231 , G05D1/0214 , G05D1/0246 , G06V10/25 , G06V10/267 , G06V10/44 , G06V10/62 , G06V10/82 , G07C5/008 , G07C5/02 , H04N23/90
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：US20230305568A1
公开(公告)日：2023-09-28
申请号：US17703066
申请日：2022-03-24
Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
Inventor： Ariel Telpaz , Refael Blanca , Nadav Baron , Ravid Erez , Daniel Urieli , Ron Hecht , Barak Hershkovitz
CPC classification number: G05D1/0217 , G05D1/0291 , G05D1/0225 , B60L58/12
Abstract: A system for managing a fleet of electric vehicles and respective fleet drivers includes a command unit having a processor and tangible, non-transitory memory on which instructions are recorded. The command unit is adapted to obtain input variables, including respective fleet tasks and their priority status. Route data for the respective fleet tasks is obtained. The command unit is adapted to obtain an objective function defined by a plurality of influence factors having respective weights. The command unit is adapted to obtain optimal charging schedules respectively for the electric vehicles and match the respective fleet tasks to the electric vehicles and the respective fleet drivers, based in part on the objective function, input variables and the route data. The influence factors may include energy cost optimization, timeliness of task completion and minimizing range anxiety. In some embodiments, the respective weights of the influence factors are designated by a fleet manager.
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