Granted Patent B2

US 12,522,099 · App. 18/666,785 · Granted Jan 13, 2026

Inventors: Rohit Gupta (Santa Clara, CA); Justin A. Sanchez (Charlotte, NC); Nejib Ammar (San Jose, CA)

Assignees: TOYOTA MOTOR ENGINEERING & MANUFACTURING NORTH AMERICA, INC.; TOYOTA JIDOSHA KABUSHIKI KAISHA

B60L53/62B60L53/66B60L58/12B60L2250/00

Abstract

Claims (74)

1 . A method, comprising:

predicting a charging duration of a vehicle connected to a charging station, based on data related to the vehicle, data related to an individual associated with the vehicle, and data related to the charging station;

predicting a length of time the individual will be in the vehicle when the vehicle is connected to the charging station;

in response to the length of time being less than the predicted charging duration, determining a service to provide to the individual; and

delivering the service based on the length of time.

2 . The method of claim 1 , further comprising:

collecting the data related to the vehicle, wherein the data related to the vehicle comprises a geographic location for the vehicle and wherein the data related to the individual associated with the vehicle comprises a preferences profile of the individual including at least one service preference for the individual; and

analyzing the data to determine a current context and a need for delivering the service.

3 . The method of claim 1 , comprising:

evaluating a logistical feasibility of delivering the service, based on the length of time and an estimated time for the delivering the service;

prioritizing the service based on a user preference of the individual; and

selecting a source return of the service based on the evaluating and the prioritizing.

4 . The method of claim 1 , comprising:

determining an estimated time for the delivering of the service, and determining a preferences profile related to the individual specifying a preference related to the service; and

sending a notification to at least one of the vehicle or to a device associated with the individual, the notification identifying the estimated time and the preferences profile.

5 . The method of claim 1 , wherein the determining the length of time comprises:

collecting battery data from the vehicle, the battery data comprising a state-of-charge of a battery of the vehicle, and historical charging data associated with one or more past charging events of the battery of the vehicle;

collecting charging data from the charging station, the charging data including a charging rate for the charging station, an expected duration of time for the charging station to complete a charge of the battery of the vehicle; and

predicting the charging duration of the vehicle based on the collected battery data and the collected charging data.

6 . The method of claim 1 , comprising:

monitoring a state-of-charge of a battery of the vehicle while the vehicle is being charged by the charging station;

in response to the monitoring, updating the predicted charging duration; and

in response to the updated predicted charging duration, performing one or more of selecting a different service to be delivered, or selecting an additional amount or an additional time of the service to be delivered.

7 . The method of claim 1 , comprising:

in response to the service being undelivered within the length of time, determining at least one of a location or an estimated time for completing an undelivered portion of the service.

8 . A system, comprising:

a processor; and

a memory, wherein the processor and the memory are communicably coupled, wherein the processor:

predicts a charge duration of a vehicle connected to a charge station, based on data related to the vehicle, data related to an individual associated with the vehicle, and data related to the charge station;

predicts a length of time the individual will be in the vehicle when the vehicle is connected to the charge station;

in response to the length of time is less than the predicted charge duration, determines a service to provide to the individual based on the data; and

delivers the service based on the length of time.

9 . The system of claim 8 , wherein the processor:

collects the data related to the vehicle, wherein the data related to the vehicle comprises a geographic location for the vehicle and wherein the data related to the individual associated with the vehicle comprises a preferences profile of the individual that includes at least one service preference for the individual; and

analyzes the data to determine a current context and a need to deliver the service.

10 . The system of claim 8 , wherein the processor:

evaluates a logistical feasibility to deliver the service, based on the length of time and an estimated time to deliver the service;

prioritizes the service based on a user preference of the individual; and

selects a source return of the service based on the evaluates and the prioritizes.

11 . The system of claim 8 , wherein the processor:

determines an estimated time to deliver the service, and determines a preferences profile related to the individual that specifies a preference related to the service; and

sends a notification to at least one of the vehicle or to a device associated with the individual, wherein the notification identifies the estimated time and the preferences profile.

12 . The system of claim 8 , wherein the determines the length of time comprises:

collects battery data from the vehicle, wherein the battery data comprises a state-of-charge of a battery of the vehicle, and historical charge data associated with one or more past charge events of the battery of the vehicle;

collects charge data from the charge station, wherein the charge data includes a charge rate for the charge station, an expected duration of time for the charge station to complete a charge of the battery of the vehicle; and

predicts the charge duration of the vehicle based on the collected battery data and the collected charge data.

13 . The system of claim 8 , wherein the processor:

monitors a state-of-charge of a battery of the vehicle while the vehicle is charged by the charge station;

in response to the monitors, updates the predicted charge duration; and

in response to the updated predicted charge duration, performs one or more of selects a different service to be delivered, or selects an additional amount or an additional time of the service to be delivered.

14 . The system of claim 8 , wherein the processor determines at least one of a location or an estimated time to complete an undelivered portion of the service, in response to the service is undelivered within the length of time.

15 . A computer-readable storage medium comprising instructions that, when read by a processor, cause the processor to perform:

predicting a charging duration of a vehicle connected to a charging station, based on data related to the vehicle, data related to an individual associated with the vehicle, and data related to the charging station;

predicting a length of time the individual will be in the vehicle when the vehicle is connected to the charging station;

in response to the length of time being less than the predicted charging duration, determining a service to provide to the individual based on the data; and

delivering the service based on the length of time.

16 . The computer-readable storage medium of claim 15 , further comprising instructions for:

collecting the data related to the vehicle, wherein the data related to the vehicle comprises a geographic location for the vehicle and wherein the data related to the individual associated with the vehicle comprises a preferences profile of the individual including at least one service preference for the individual; and

analyzing the data to determine a current context and a need for delivering the service.

17 . The computer-readable storage medium of claim 15 , further comprising instructions for:

evaluating a logistical feasibility of delivering the service, based on the length of time and an estimated time for the delivering the service;

prioritizing the service based on a user preference of the individual; and

selecting a source return of the service based on the evaluating and the prioritizing.

18 . The computer-readable storage medium of claim 15 , further comprising instructions for:

determining an estimated time for the delivering of the service, and determining a preferences profile related to the individual specifying a preference related to the service; and

sending a notification to at least one of the vehicle or to a device associated with the individual, the notification identifying the estimated time and the preferences profile.

19 . The computer-readable storage medium of claim 15 , wherein the determining the length of time comprises:

collecting battery data from the vehicle, the battery data comprising a state-of-charge of a battery of the vehicle, and historical charging data associated with one or more past charging events of the battery of the vehicle;

collecting charging data from the charging station, the charging data including a charging rate for the charging station, an expected duration of time for the charging station to complete a charge of the battery of the vehicle; and

predicting the charging duration of the vehicle based on the collected battery data and the collected charging data.

20 . The computer-readable storage medium of claim 15 , further comprising instructions for:

monitoring a state-of-charge of a battery of the vehicle while the vehicle is being charged by the charging station;

in response to the monitoring, updating the predicted charging duration; and

in response to the updated predicted charging duration, performing one or more of selecting a different service to be delivered, or selecting an additional amount or an additional time of the service to be delivered.

Assignments (2)

Continuity (1)

References Cited (19)