Granted Patent B2

US 12,600,263 · App. 18/194,629 · Granted Apr 14, 2026

Inventors: Norman Lu (Fairview, TX); Maximilian Parness (Takoma Park, MD)

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

B60L58/12B60L53/665G06Q30/0224G06Q30/0631G06Q50/40B60L2250/16

Abstract

Claims (96)

1 . A method, comprising:

measuring a baseline impedance of a battery of an electric vehicle at a first point in time using a battery management system of the electric vehicle;

iteratively measuring additional impedances of the battery of the electric vehicle at additional subsequent points in time using the battery management system;

using a processor of the electric vehicle, determining that a rate of degradation of the battery is greater than a threshold based on a comparison of the additional impedances to the baseline impedance;

using the processor, controlling an action of the electric vehicle to reduce the degradation; and

in response to the action being performed, determining by the processor that the rate of degradation is lowered based on subsequent impedances measured by the battery management system.

2 . The method of claim 1 , comprising:

monitoring an energy consumption of the electric vehicle;

determining a profile for a driver of the electric vehicle based on the energy consumption; and

offering at least one of a product or a service to the driver based on the energy consumption and the profile.

3 . The method of claim 1 , comprising:

monitoring an energy consumption of the electric vehicle;

determining a profile for a driver of the electric vehicle based on the energy consumption; and

based on the energy consumption and the profile, determining at least one of:

a recommended vehicle type,

a recommended battery capacity, or

a recommended home charging setup.

4 . The method of claim 1 , comprising:

monitoring a charge level of the battery;

in response to the charge level being around 40% to around 60%, penalizing the electric vehicle; and

in response to the charge level being around 15% to around 25%, providing a return to the electric vehicle.

5 . The method of claim 1 , comprising:

identifying a characteristic of a driver of the electric vehicle; and

providing a recommendation to the driver based on the characteristic, wherein the recommendation comprises one or more of:

a recommendation of a vehicle for lease or purchase, or

a recommendation for a source of electrical energy.

6 . The method of claim 1 , comprising:

monitoring an electricity consumption of the electric vehicle; and

based on the electricity consumption, determining an offer for a driver of the electric vehicle, wherein the offer is associated with a charging device for the electric vehicle.

7 . The method of claim 1 , comprising:

acquiring driver data associated with a driver of the electric vehicle;

acquiring grid data associated with an electrical grid serving a charging station associated with the electric vehicle; and

based on the driver data and the grid data, determining an offer for the driver for a grid service.

8 . A system, comprising:

a processor that executes instructions stored in a memory to configure; the processor to:

measure a baseline impedance of a battery of an electric vehicle at a first point in time using a battery management system of the electric vehicle;

iteratively measure additional impedances of the battery of the electric vehicle at additional subsequent points in time using the battery management system;

using a processor of the electric vehicle, determine that a rate of degradation of the battery is greater than a threshold based on a comparison of the additional impedances to the baseline impedance;

using the processor, control an action of the electric vehicle to reduce the degradation; and

in response to the action being performed, determine by the processor that the rate of degradation is lowered based on subsequent impedances measured by the battery management system.

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

monitor an energy consumption of the electric vehicle;

determine a profile for a driver of the electric vehicle based on the energy consumption; and

offer at least one of a product or a service to the driver based on the energy consumption.

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

monitor an energy consumption of the electric vehicle;

determine a profile for a driver of the electric vehicle based on the energy consumption; and

based on the energy consumption and the profile, determine at least one of:

a recommended vehicle type,

a recommended battery capacity, or

a recommended home charge setup.

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

Monitor a charge level of the battery; and

In response to the charge level being around 40% to around 60%, penalize the electric vehicle; and

In response to the charge level is around 15% to around 25%, provide a return to the electric vehicle.

12 . The system of claim 8 , wherein the processor is configured to:

identify a characteristic of a driver of the electric vehicle; and

provide a recommendation to the driver based on the characteristic, wherein the recommendation comprises one or more of:

a recommendation of a vehicle for lease or purchase, or

a recommendation for a source of electrical energy.

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

monitor an electricity consumption of the electric vehicle; and

based on the monitored electricity consumption, determine an offer for a driver of the electric vehicle, wherein the offer is associated with a charging device for the electric vehicle.

14 . The system of claim 8 , wherein the processor is configured to:

acquire driver data associated with a driver of the electric vehicle;

acquire grid data associated with an electrical grid that serves a charge station associated with the electric vehicle; and

based on the acquired driver data and the acquired grid data, determine an offer for the driver for a grid service.

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

measuring a baseline impedance of a battery of an electric vehicle at a first point in time using a battery management system of the electric vehicle;

iteratively measuring additional impedances of the battery of the electric vehicle at additional subsequent points in time using the battery management system;

using a processor of the electric vehicle, determining that a rate of degradation of the battery is greater than a threshold based on a comparison of the additional impedances to the baseline impedance;

using the processor, controlling an action of the electric vehicle to reduce the degradation; and

in response to the action being performed, determining by the processor that the rate of degradation is lowered based on subsequent impedances measured by the battery management system.

16 . The computer-readable storage medium of claim 15 , wherein the instructions cause the processor to perform:

monitoring an energy consumption of the electric vehicle;

determining a profile for a driver of the electric vehicle based on the energy consumption; and

offering at least one of a product or a service to the driver based on the energy consumption and the profile.

17 . The computer-readable storage medium of claim 15 , wherein the instructions cause the processor to perform:

monitoring an energy consumption of the electric vehicle;

determining a profile for a driver of the electric vehicle based on the energy consumption; and

based on the energy consumption and the profile, determining at least one of:

a recommended vehicle type,

a recommended battery capacity, or

a recommended home charging setup.

18 . The computer-readable storage medium of claim 15 , wherein the instructions cause the processor to perform:

monitoring a charge level of the battery;

in response to the charge level being around 40% to around 60%, penalizing the electric vehicle; and

in response to the charge level being around 15% to around 25%, providing a return to the electric vehicle.

19 . The computer-readable storage medium of claim 15 , wherein the instructions cause the processor to perform:

identifying a characteristic of a driver of the electric vehicle; and

providing a recommendation to the driver based on the characteristic, wherein the recommendation comprises one or more of:

a recommendation of a vehicle for lease or purchase, or

a recommendation for a source of electrical energy.

20 . The computer-readable storage medium of claim 15 , wherein the instructions cause the processor to perform:

monitoring an electricity consumption of the electric vehicle; and

based on the electricity consumption, determining an offer for a driver of the electric vehicle, wherein the offer is associated with a charging device for the electric vehicle.

Assignments (1)

Continuity (1)

References Cited (22)