Battery performance management system and method

Patent metadata

Field	Value
Publication number	US-12384271-B2
Application number	US-202117641148-A
Country	US
Kind code	B2
Filing date	Mar 24, 2021
Priority date	Mar 24, 2020
Publication date	Aug 12, 2025
Grant date	Aug 12, 2025

Abstract

A battery performance management system and method using an electric vehicle charging station. The battery performance management server collects battery performance evaluation information including identification information and operation characteristic accumulative information of a battery, identification information and driving characteristic accumulative information of the electric vehicle, and latest charging characteristic information of the battery from a plurality of charging stations through a network. The server determines a current state of health (SOH) corresponding to the collected battery performance evaluation information by using an artificial intelligence model that is trained in advance to receive the battery performance evaluation information and output a SOH of the battery. The server determines a latest control factor corresponding to the current SOH, and transmits the latest control factor to the charging station so that the charging station may transmit the latest control factor to a control system of the electric vehicle to update the control factor.

First claim

What is claimed is:

1. A battery performance management system using an electric vehicle charging station, comprising:
a battery performance management server communicatively connected through a network to a plurality of charging stations; and
a database connected to the battery performance management server and configured to store (State Of Health) SOH information of electric vehicles,
wherein, for an electric vehicle at a given charging station of the plurality of charging stations, the battery performance management server is configured to:
collect, from the given charging station through the network, battery performance evaluation information of the electric vehicle, the battery performance evaluation information of the electric vehicle including:
identification information and operation characteristic accumulative information of a battery of the electric vehicle,
identification information and driving characteristic accumulative information of the electric vehicle, and
most recent charging characteristic information of the battery;

store the battery performance evaluation information of the electric vehicle in the database;
determine a current SOH of the battery corresponding to the collected battery performance evaluation information based on an artificial intelligence model that is trained at least in part using battery performance evaluation information of other vehicles,
calculate an amount that the current SOH of the battery varies from a most recently determined SOH of the battery that is stored in the database,
determine whether the calculated amount is greater than a predetermined reference value,
in response to the calculated amount being greater than the predetermined reference value, update a control factor for controlling battery operation to a most recent control factor corresponding to the current SOH based on prestored correlation information in the database, and
transmit the most recent control factor to a control system of the electric vehicle through the given charging station.

2. The battery performance management system according to claim 1 ,
wherein the operation characteristic accumulative information of the battery includes at least one selected from the group consisting of accumulative operation time at each voltage section, accumulative operation time at each current section, and accumulative operation time at each temperature section.

3. The battery performance management system according to claim 1 , wherein the driving characteristic accumulative information of the electric vehicle includes at least one selected from the group consisting of accumulative driving time at each speed section, accumulative driving time at each driving area, and accumulative driving time at each humidity section.

4. The battery performance management system according to claim 3 ,
wherein the latest charging characteristic information includes at least one selected from the group consisting of SOC, voltage, current and temperature data of the battery measured or estimated at a plurality of time points.

5. The battery performance management system according to claim 1 ,
wherein the most recent charging characteristic information includes at least one selected from the group consisting of SOC, voltage, current and temperature data of the battery measured or estimated at a plurality of time points.

6. The battery performance management system according to claim 1 ,
wherein the artificial intelligence model is an artificial neural network.

7. The battery performance management system according to claim 1 ,
wherein the battery performance management server is configured to transmit a driving distance of the electric vehicle, the current SOH and the identification information of the electric vehicle to an insurance company server.

8. The battery performance management system according to claim 1 ,
further comprising an insurance company server, wherein the insurance company server is configured to calculate an insurance premium for the corresponding electric vehicle with reference to the identification information of the electric vehicle by using the current SOH and the driving distance of the electric vehicle.

9. A battery performance management system using an electric vehicle charging station, comprising:
a battery performance management server communicatively connected through a network to a plurality of charging stations; and
a database connected to the battery performance management server and configured to store (State Of Health) SOH information of electric vehicles,
wherein, for an electric vehicle at a given charging station of the plurality of charging stations, the battery performance management server is configured to:
collect, from the given charging station through the network, battery performance evaluation information of the electric vehicle, the battery performance evaluation information of the electric vehicle including:
identification information and operation characteristic accumulative information of a battery of the electric vehicle,
identification information and driving characteristic accumulative information of the electric vehicle, and
most recent charging characteristic information of the battery;

store the battery performance evaluation information of the electric vehicle in the database;
determine a current SOH of the battery corresponding to the collected battery performance evaluation information based on an artificial intelligence model that is trained at least in part using battery performance evaluation information of other vehicles,
in response to the current SOH varying by a reference value or more compared to a most recently determined previous SOH, determine a most recent control factor for controlling battery operation, the most recent control factor corresponding to the current SOH based on prestored correlation information in the database, and
transmit the most recent control factor to a control system of the electric vehicle through the given charging station,
wherein the battery performance management server is configured to, in response to the battery performance evaluation information being received from the plurality of electric vehicle charging stations and the most recent charging characteristic information includes data sufficient to determine the current SOH of the battery:
determine the current SOH of the battery from the most recent charging characteristic information;
store a frequency distribution data generated from the operation characteristic accumulative information of the battery, a frequency distribution data generated from the driving characteristic accumulative information of the electric vehicle and the most recent charging characteristic information in the database as training input data of the artificial intelligence model; and
store the current SOH of the battery in the database as training output data of the artificial intelligence model.

10. The battery performance management system according to claim 9 ,
wherein the battery performance management server is configured to repeatedly train the artificial intelligence model in response to an amount of training input data and training output data stored in the database exceeding a storage reference value.

11. The battery performance management system according to claim 9 ,
wherein the battery performance management server is configured to:
store the training input data and the training output data in the database to be matched with at least one of the identification information of the battery, the identification information of the electric vehicle, or a driving area of the electric vehicle; and
repeatedly train the artificial in

Assignees

• Lg Energy Solution Ltd

Inventors

• Kim Dong-Myung
• Kim Hyung-Sik
• Ahn Hyoung Jun

Classifications

• Y02T10/70

  Energy storage systems for electromobility, e.g. batteries · CPC title

• B60L53/65

  involving identification of vehicles or their battery types · CPC title

• B60L53/305

  Communication interfaces · CPC title

• B60L53/66

  Data transfer between charging stations and vehicles · CPC title

• G01R31/392

  Determining battery ageing or deterioration, e.g. state of health · CPC title