Method and system with battery management

Patent metadata

Field	Value
Publication number	US-2022074995-A1
Application number	US-202117463841-A
Country	US
Kind code	A1
Filing date	Sep 1, 2021
Priority date	Sep 10, 2020
Publication date	Mar 10, 2022
Grant date	—

Abstract

A battery management method and system are provided. The method includes acquiring one or more parameters associated with the battery. The one or more parameters includes a current level, a voltage level, a State of Charge (SOC), and a temperature. The method includes determining a load and energy estimation model based on the one or more acquired parameters. The method includes identifying a power limit of the battery based on the load and energy estimation model. The method includes determining a power margin of the battery at a first usage time interval based on the identified power limit. The method includes performing one or more actions, based on a determination that the power margin of the battery exceeds a predefined threshold level.

First claim

What is claimed is:

1 . A battery management method comprising:
determining, by a battery management system, a load and energy estimation model based on at least one acquired parameter associated with the battery, wherein the at least one parameter comprises a current level, a voltage level, a state of charge (SOC), a temperature, or a combination of at least two of the parameters thereof; identifying, by the battery management system, a power limit of the battery based on the determined load and determined energy estimation model; determining, by the battery management system, a power margin of the battery at a first usage time interval based on the identified power limit; and performing, by the battery management system, at least one action, based on a determination that the power margin of the battery exceeds a predefined threshold level.

2 . The method of claim 1 , wherein the at least one parameter is acquired by the battery management system.

3 . The method of in claim 1 , wherein the determining, by the battery management system, of the load and energy estimation model comprises:
obtaining, by the battery management system, a pulse duration of the battery, a depth of discharge of the battery, a cut-off voltage associated with a pre-set voltage of the battery, and a temperature of the battery at a first time interval based on the at least one acquired parameters; and determining, by the battery management system, the load and energy estimation model based on the pulse duration of the battery, the depth of discharge of the battery, the cut-off voltage associated with the pre-set voltage of the battery, and the temperature of the battery.

4 . The method of claim 1 , wherein the at least one action comprises notifying a user to close at least one application running in an electronic device, notifying the user to close at least one background application running in the electronic device, reducing a clock speed of a processor of the electronic device, notifying the user of a remaining capacity of the battery, notifying the user of a maximum current extractable from the battery at a discharge condition, notify the user of a temperature dependent effect of the battery, predicting a state of health (SOH) of the battery, providing a route based on power demands in a vehicle, notify a user of the vehicle to charge the battery, or a combination of at least two of the actions thereof.

5 . The method of claim 1 , wherein the load and energy estimation model is determined based on a change in at least one of an ambient temperature of the battery and a cell temperature of the battery.

6 . The method of claim 1 , wherein the load and energy estimation model is determined when a discharge mode of the battery is changed from a first level to a second level.

7 . The method of claim 4 , wherein the SOH of the battery is predicted by:
obtaining a maximum current profile associated with a fresh battery; estimating a maximum current profile associated with the battery based on the load and energy estimation model; determining a ratio of the estimated maximum current profile associated with the battery with the maximum current profile associated with the fresh battery; and predicting the SOH of the battery based on the determined ratio.

8 . A battery management system, comprising:
one or more processors; a memory; and a load and energy estimation model configuration controller, coupled with the one or more processors and the memory, and configured to:
determine a load and energy estimation model based on at least one acquired parameter associated with the battery, wherein the at least one parameter comprises a current level, a voltage level, a state of charge (SOC), a temperature, or a combination of at least two of the parameters thereof,
identify a power limit of the battery based on the load and energy estimation model,
determine a power margin of the battery at a first usage time interval based on the identified power limit, and
perform at least one action based on a determination that the power margin of the battery exceeds a predefined threshold level.

9 . The battery management system of claim 8 , wherein the at least one parameter is acquired by the battery management system.

10 . The battery management system of claim 8 , wherein the determining of the load and energy estimation model comprises:
obtaining a pulse duration of the battery, a depth of discharge of the battery, a cut-off voltage associated with a pre-set voltage of the battery, and a temperature of the battery at a first time interval based on the at least one acquired parameter; and determining the load and energy estimation model based on the pulse duration of the battery, the depth of discharge of the battery, the cut-off voltage associated with the pre-set voltage of the battery, and the temperature of the battery.

11 . The battery management system of claim 8 , wherein the at least one action comprises notifying a user to close at least one application running in an electronic device, notifying the user to close at least one background application running in the electronic device, reducing a clock speed of a processor of the electronic device, notifying the user of a remaining capacity of the battery, notifying the user of a maximum current extractable from the battery at a discharge condition, notifying the user of a temperature dependent effect of the battery, predicting a state of health (SOH) of the battery, providing a route based on power demands of a vehicle, notify a user of the vehicle to charge the battery, or a combination of at least two of the actions thereof.

12 . The battery management system of claim 8 , wherein the load and energy estimation model is determined based on a change in at least one of an ambient temperature of the battery and a cell temperature of the battery.

13 . The battery management system of claim 8 , wherein the load and energy estimation model is determined when a discharge mode of the battery is changed from a first level to a second level.

14 . The battery management system of claim 11 , wherein the SOH of the battery is predicted by:
obtaining a maximum current profile associated with a fresh battery; estimating a maximum current profile associated with the battery based on the load and energy estimation model; determining a ratio of the estimated maximum current profile associated with the battery with the maximum current profile associated with the fresh battery; and predicting the SOH of the battery based on the determined ratio.

15 . An apparatus, comprising:
one or more processors, configured to:
determine a load and energy estimation model based on an obtained parameter associated with a battery;
identify a power limit of the battery based on the determined load and energy estimation model;
determine a power margin of the battery at a usage time interval based on the identified power limit, and
perform a user-based action when the power margin is determined to exceed a predetermined threshold level.

16 . The apparatus of claim 15 , wherein the apparatus is at least one of an electronic device and an electric vehicle.

17 . The apparatus of claim 15 , wherein the at least one battery-related parameter comprises a current level, a voltage level, a state of charge (SOC), and a temperature.

18 . The apparatus of claim 15 , wherein the user-based action comprises at least one of notifying a user to close at least one application running in an electronic device, notifying the user to close

Assignees

• Samsung Electronics Co Ltd

Inventors

• Bharathraj Sagar
• Kaushik Anshul
• Patil Rajkumar Subhash
• Adiga Shashishekara Parampalli
• Song Tae Won

Classifications

• Y02T10/70

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

• B60L2240/545

  Temperature · CPC title

• B60L58/12 Primary

  responding to state of charge [SoC] · CPC title

• B60L2240/547

  Voltage · CPC title

• B60L58/16

  responding to battery ageing, e.g. to the number of charging cycles or the state of health [SoH] · CPC title