System and method of monitoring battery

Patent metadata

Field	Value
Publication number	US-12560656-B2
Application number	US-202217860938-A
Country	US
Kind code	B2
Filing date	Jul 8, 2022
Priority date	Jul 9, 2021
Publication date	Feb 24, 2026
Grant date	Feb 24, 2026

Abstract

A battery monitoring system includes a data receiver configured to receive battery information data and vehicle information data from a data collecting device connected to a vehicle, a battery management score calculator configured to calculate, based on the battery information data and the vehicle information data, factors affecting battery degradation among a charging habit, a driving habit, and a parking habit of a user, calculate, based on the factors, a battery management score, and store the battery management score in a database, and an information transmitter configured to transmit the battery management score to a terminal.

First claim

What is claimed is:

1 . A battery monitoring system comprising:
a data receiver in communication with a data collecting device electrically or communicatively connected to a vehicle and configured to receive battery information data and vehicle information data from the data collecting device, wherein the battery information data includes a combination of voltage, current, temperature data of the battery; a battery management score calculator coupled to receive the battery information data and the vehicle information data and configured to: calculate, based on the battery information data and the vehicle information data, factors affecting battery degradation among a battery charging habit, a driving habit, and a parking habit of a user; calculate, based on the factors, a battery management score; and store the battery management score in a database; and control charging parameters or acceleration parameters of the vehicle to reduce a charging limit threshold or occurrence of rapid acceleration, based on the battery management score; and an information transmitter in communication with a terminal and configured to transmit the battery management score to the terminal, wherein the battery monitoring system further includes a lifespan predictor, wherein the lifespan predictor is configured to predict a remaining lifespan of the battery based on the combination of the voltage, current, and temperature data, using an artificial intelligence (AI)-based prediction algorithm, and store the remaining lifespan of the battery in the database, and wherein the information transmitter is configured to transmit the remaining lifespan of the battery to the terminal.

2 . The battery monitoring system of claim 1 , wherein:
the battery management score calculator is configured to compare a battery management score of a specific user with battery management scores of other users stored in the database; and the information transmitter is configured to transmit, to the terminal, a result of comparing the battery management score of the specific user with the battery management scores of the other users stored in the database.

3 . The battery monitoring system of claim 1 , wherein the battery management score calculator is configured to calculate a comprehensive battery management score by reflecting the remaining lifespan in the battery management score.

4 . The battery monitoring system of claim 1 , wherein:
the data receiver is configured to receive information on a state of health (SOH) of the battery from the data collecting device; the lifespan predictor is configured to calculate, based on the received SOH information, a predicted replacement time of the battery, and store the predicted replacement time of the battery in the database; and the information transmitter is configured to transmit, to the terminal, the predicted replacement time of the battery.

5 . The battery monitoring system of claim 1 , wherein:
the lifespan predictor is configured to compare a remaining lifespan of a battery of a specific user with remaining lifespans of batteries of other users stored in the database; and the information transmitter is configured to transmit, to the terminal, a result of comparing the remaining lifespan of the battery of the specific user with the remaining lifespans of the batteries of the other users stored in the database.

6 . The battery monitoring system of claim 1 , further comprising:
an abnormal behavior predictor, wherein the data receiver is configured to receive, from the data collecting device, the combination of the voltage, current, temperature data of the battery, the abnormal behavior predictor is configured to detect an abnormal battery behavior based on the combination of the voltage, current, temperature data, using the AI-based prediction algorithm, and store the abnormal battery behavior in the database, and the information transmitter is configured to transmit, based on the abnormal battery behavior, a risk of an accident to the terminal.

7 . The battery monitoring system of claim 6 , wherein the abnormal battery behavior includes a voltage imbalance between different battery cells with the battery.

8 . The battery monitoring system of claim 6 , wherein the abnormal battery behavior includes a change in temperature inside the battery during battery charging.

9 . The battery monitoring system of claim 1 , wherein:
the battery management score calculator is configured to generate, based on the battery management score, insurance premium information to be used to calculate an automobile insurance premium for a user; and the information transmitter is configured to transmit the insurance premium information to an external computer server.

10 . The battery monitoring system of claim 1 , wherein:
the battery management score calculator is configured to generate, based on the battery management score, certification information for certifying or assuring quality of a battery state; and the information transmitter is configured to transmit the certification information on the battery state to an external computer server.

11 . The battery monitoring system of claim 1 , wherein:
the information transmitter is configured to transmit, to the terminal, battery ledger information stored in the database; and the battery ledger information includes production information generated when a battery is produced, state information that indicates a current usage state of the battery, and usage information that indicates a usage history of the battery.

12 . A method of monitoring a battery of a vehicle, the method comprising:
receiving battery information data and vehicle information data from a data collecting device electrically or communicatively connected to the vehicle, wherein the battery information data includes a combination of voltage, current, and temperature data of the battery; calculating, based on the battery information data and the vehicle information data, factors affecting battery degradation among a battery charging habit, a driving habit, and a parking habit of a user, and calculating, based on the factors, a battery management score; controlling charging parameters or acceleration parameters of the vehicle to reduce a charging limit threshold or occurrence of rapid acceleration, based on the battery management score; predicting a remaining lifespan of the battery based on the combination of the voltage, current, temperature data of the battery using an artificial intelligence (AI)-based prediction algorithm; and transmitting, to a terminal, the battery management score and the remaining lifespan of the battery.

13 . The method of claim 12 , further comprising:
calculating a comprehensive battery management score by reflecting the remaining lifespan in the battery management score.

14 . The method of claim 12 , further comprising:
detecting an abnormal battery behavior from the battery information data using the AI-based prediction algorithm.

15 . The method of claim 14 , wherein the abnormal battery behavior includes a voltage imbalance between different battery cells with the battery.

16 . The method of claim 14 , wherein the abnormal battery behavior includes a change in temperature inside the battery during battery charging.

Assignees

• Sk On Co Ltd

Inventors

• Jeong Da Eun
• Kim Tae Kyun
• Heo Tae Hyung
• Kim Sang Hoon
• Lee Byung Eun
• Jeong Moon Goo

Classifications

• G01R31/371

  with remote indication, e.g. on external chargers · CPC title

• G01R31/396

  Acquisition or processing of data for testing or for monitoring individual cells or groups of cells within a battery · CPC title

• Y02T10/72

  Electric energy management in electromobility · CPC title

• Y02T10/70

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

• B60Y2200/91

  Electric vehicles · CPC title