# US 12,600,263 B2 · Method, system, and computer-readable storage medium for data-based recommendations to limit vehicle battery degradation

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- Number: US 12,600,263 B2
- Document ID: US12600263B2
- Status: Granted
- Kind: B2
- Application number: 18/194,629
- Filed: 2023-04-01
- Published: 2024-10-03
- Granted: 2026-04-14
- Earliest claimed: 2023-04-01
- Assignees: Toyota Motor North America, Inc.; Toyota Jidosha Kabushiki Kaisha
- Applicants: Toyota Motor North America, Inc.
- Inventors: Norman Lu; Maximilian Parness
- Web page: https://patentgrep.com/patent/US12600263B2

## CPC

- B60L 58/12: responding to state of charge [SoC]
- B60L 53/65: involving identification of vehicles or their battery types
- B60L 53/665: {Methods related to measuring, billing or payment}
- B60L 58/16: responding to battery ageing, e.g. to the number of charging cycles or the state of health [SoH]
- G06Q 30/0224: {based on user history}
- G06Q 30/0631: {Recommending goods or services}
- G06Q 50/40: Business processes related to the transportation industry (shipping G06Q10/083)
- B60L 2250/16: by display
- Y02T 10/70: Energy storage systems for electromobility, e.g. batteries
- B60L: PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES (arrangements or mounting of electrical propulsion units or of plural diverse prime-movers for mutual or common propulsion in vehicles B60K1/00, B60K6/20; arrangements or mounting of electrical gearing in vehicles B60K17/12, B60K17/14; preventing wheel slip by reducing power in rail vehicles B61C15/08; dynamo-electric machines H02K; control or regulation of electric motors H02P); SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES (electric coupling devices combined with mechanical couplings of vehicles B60D1/64; electric heating for vehicles B60H1/00); ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL (control or regulation of electric motors H02P); MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- G06Q: INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- Y02T: CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION

## Abstract

An example operation includes one or more of: determining a degradation of a battery of each vehicle in a group of electric vehicles, wherein the degradation is at a rate greater than a threshold; determining a return when the degradation is lowered; and providing a portion of the return to each of the vehicles in the group, wherein the portion is commensurate with the lowering.

## Claims

### Claim 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.

### Claim 2 (depends on 1)

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.

### Claim 3 (depends on 1)

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.

### Claim 4 (depends on 1)

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.

### Claim 5 (depends on 1)

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.

### Claim 6 (depends on 1)

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.

### Claim 7 (depends on 1)

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.

### Claim 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.

### Claim 9 (depends on 8)

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.

### Claim 10 (depends on 8)

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.

### Claim 11 (depends on 8)

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.

### Claim 12 (depends on 8)

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.

### Claim 13 (depends on 8)

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.

### Claim 14 (depends on 8)

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.

### Claim 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.

### Claim 16 (depends on 15)

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.

### Claim 17 (depends on 15)

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.

### Claim 18 (depends on 15)

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.

### Claim 19 (depends on 15)

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.

### Claim 20 (depends on 15)

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.