On-demand charging method and terminal

Patent metadata

Field	Value
Publication number	US-11862773-B2
Application number	US-202218069709-A
Country	US
Kind code	B2
Filing date	Dec 21, 2022
Priority date	Jun 1, 2016
Publication date	Jan 2, 2024
Grant date	Jan 2, 2024

Abstract

The present disclosure provides a charging method and a terminal. The method includes: automatically learning, by the terminal, historical data by using a machine learning algorithm, to establish a habit model of a user, and matching a current time with the usage habit model of the user to determine a current charging intention of the user, so as to determine a charging mode according to the charging intention. By means of the technical solutions, a charging requirement of a user can be effectively identified, and on-demand charging can be implemented. This improves user experience while avoiding a battery life decrease caused by frequent fast charging.

First claim

The invention claimed is:

1. A charging method, wherein the method comprises:
obtaining historical data that a user uses a terminal within a preset time period;
training, by using a preset machine learning algorithm, the historical data that the user uses the terminal to obtain a usage habit model of the user, wherein training the historical data comprises:
analyzing the historical data by using the preset machine learning algorithm; and
correcting an analysis result, and setting the corrected analysis result to the usage habit model of the user;

obtaining a current time and the usage habit model of the user when it is detected that a connection is established between the terminal and a charger;
matching the current time with the usage habit model of the user to obtain a charging intention of the user;
determining a charging mode corresponding to the obtained charging intention; and
charging the terminal according to the determined charging mode.

2. The method according to claim 1 , wherein before the matching the current time with the usage habit model of the user to obtain a charging intention of the user, the method further comprises:
obtaining a location of the terminal; and
wherein the matching the current time with the usage habit model of the user to obtain a charging intention of the user comprises:
determining the charging intention of the user according to the current time, the location of the terminal, and the usage habit model of the user.

3. The method according to claim 2 , wherein before the matching the current time with the usage habit model of the user to obtain a charging intention of the user, the method further comprises:
obtaining information about an environment in which the terminal is located; and
wherein the matching the current time with the usage habit model of the user to obtain a charging intention of the user comprises:
determining the charging intention of the user according to the current time, the location of the terminal, the information about the environment in which the terminal is located, and the usage habit model of the user.

4. The method according to claim 1 , wherein after the determining a charging mode according to the charging intention, the method further comprises:
sending a charging mode confirmation request to the user, wherein the charging mode confirmation request is used to ask the user whether charging is performed according to the charging mode; and
in response to receiving an instruction that the user confirms that charging is performed according to the charging mode, charging the terminal according to the charging mode.

5. The method according to claim 4 , wherein the method further comprises:
in response to receiving a charging mode change instruction entered by the user, prompting the user to select a new charging mode; and
in response to receiving the user-selected charging mode:
performing charging according to the user-selected charging mode; and
correcting a usage habit pattern of the user according to the user-selected charging mode.

6. The method according to claim 1 , wherein the method further comprises:
when obtaining the usage habit model of the user fails, determining whether the current time is in a preset sleep time period;
calculating a length of time available for charging according to the current time and the preset sleep time period when the current time is in the preset sleep time period; and
determining the charging mode according to the length of time available for charging.

7. The method according to claim 1 , wherein the method further comprises:
when obtaining the usage habit model of the user fails, obtaining a remaining electricity quantity and a current location of the terminal; and
when the remaining electricity quantity is less than a first preset threshold and the current location does not belong to a preset location set, determining that the charging mode is a fast charging mode.

8. The method according to claim 1 , wherein the method further comprises:
when obtaining the usage habit model of the user fails, obtaining a remaining electricity quantity of the terminal, and detecting whether there is a running application program in the terminal; and
when the remaining electricity quantity is less than a second preset threshold and there is a running application program, determining that the charging mode is a fast charging mode.

9. A terminal, wherein the terminal comprises:
at least one processor; and
a non-transitory computer-readable storage medium coupled to the at least one processor and storing programming instructions for execution by the at least one processor, wherein the programming instructions instruct the at least one processor to:
obtain historical data that a user uses the terminal within a preset time period;
train, by using a preset machine learning algorithm, the historical data that the user uses the terminal to obtain a usage habit model of the user, wherein training the historical data comprises:
analyzing the historical data by using the preset machine learning algorithm; and
correcting an analysis result, and setting the corrected analysis result to the usage habit model of the user;

obtain a current time and the usage habit model of the user when it is detected that a connection is established between the terminal and a charger;
match the current time with the usage habit model of the user to obtain a charging intention of the user;
determine a charging mode corresponding to the obtained charging intention; and
instruct the charger to charge the terminal according to the determined charging mode.

10. The terminal according to claim 9 , wherein the programming instructions instruct the at least one processor to:
obtain a location of the terminal; and
determine the charging intention of the user according to the current time, the location of the terminal, and the usage habit model of the user.

11. The terminal according to claim 10 , wherein the programming instructions instruct the at least one processor to:
obtain information about an environment in which the terminal is located; and
determine the charging intention of the user according to the current time, the location of the terminal, the information about the environment in which the terminal is located, and the usage habit model of the user.

12. The terminal according to claim 9 , wherein the programming instructions instruct the at least one processor to:
send a charging mode confirmation request to the user, wherein the charging mode confirmation request is used to ask the user whether charging is performed according to the charging mode; and
in response to receiving an instruction that the user confirms that charging is performed according to the charging mode, charge the terminal according to the charging mode.

13. The terminal according to claim 12 , wherein the programming instructions instruct the at least one processor to:
in response to receiving a charging mode change instruction entered by the user, prompt the user to select a new charging mode; and
in response to receiving the user-selected charging mode:
instruct the charger to perform charging according to the user-selected charging mode; and
correct a usage habit pattern of the user according to the user-selected charging mode.

14. The terminal according to claim 9 , wherein the programming instructions instruct the at least one processor to:
when obtaining the usage habit model of the user fails, determine whether the current time is in a preset sleep time period;
calculate a length of time available for charging according

Assignees

• Huawei Tech Co Ltd

Inventors

• Huo Dawei
• Ding Jie
• Wang Pinghua
• Li Hui
• Ma Jinbo

Classifications

• H02J7/92

  with prioritisation of loads or sources · CPC title

• H02J7/933

  the cycle being controlled or terminated in response to electric parameters · CPC title

• H02J7/80

  including monitoring or indicating arrangements · CPC title

• H02J7/82

  Control of state of charge [SOC] · CPC title

• H02J7/971

  the charge cycle being controlled or terminated in response to non-electric parameters · CPC title