CN-122018379-A - Method for operating an electric bicycle, electronic device, storage medium and program product

CN122018379ACN 122018379 ACN122018379 ACN 122018379ACN-122018379-A

Abstract

Embodiments of the present disclosure provide a method, electronic device, storage medium, and program product for operating an electric bicycle. The method comprises the steps of obtaining comprehensive energy consumption prediction information, wherein the comprehensive energy consumption prediction information at least comprises the current position of an electric bicycle, road condition information related to the current position and user information of a user who wants to use the electric bicycle, determining energy consumption prediction data of the user in the process of riding the electric bicycle based on the comprehensive energy consumption prediction information, determining lower limit electric quantity requirements for allowing the user to ride the electric bicycle based on the energy consumption prediction data, and controlling operation of the electric bicycle based on the lower limit electric quantity requirements. According to the embodiment of the disclosure, real-time and accurate electric quantity management and path prediction can be provided on the premise of not affecting normal riding of a user, intelligent interaction with real-time environmental factors is realized, and driving decisions are optimized.

Inventors

DING JIA

Assignees

北京骑胜科技有限公司

Dates

Publication Date: 20260512
Application Date: 20241111

Claims (16)

1. A method for operating an electric bicycle, comprising: Acquiring comprehensive energy consumption prediction information, wherein the comprehensive energy consumption prediction information at least comprises the current position of the electric bicycle, road condition information related to the current position and user information of a user who wants to use the electric bicycle; determining energy consumption prediction data of the user in the process of riding the electric bicycle based on the comprehensive energy consumption prediction information; Determining a lower limit electrical power demand that allows a user to ride the electric bicycle based on the energy consumption prediction data, and Controlling operation of the electric bicycle based on the lower limit electric power demand.
2. The method of claim 1, further comprising: Determining a destination at which the user rides the electric bicycle; Acquiring distance information from the destination and distribution information of a charging station for the electric bicycle; Determining an electric quantity early warning level for the electric bicycle based on the energy consumption prediction data, the distance information and the distribution information, and And at least one of the electric bicycle and the terminal equipment of the user sends out reminding information about the electric quantity based on the electric quantity early-warning grade.
3. The method of claim 2, wherein determining the destination comprises: Determining historical riding data of the user based on the user information, and The destination is determined based on the historical riding data.
4. The method of claim 2, wherein determining the destination further comprises: Acquiring user input about the destination from the user's terminal device, and The destination is determined based on the input.
5. The method of claim 1, wherein controlling operation of the electric bicycle comprises: determining an upper limit of output power of a motor of the electric bicycle based on the road condition information and a remaining amount of a battery of the electric bicycle, and The upper output power limit is sent to the electric bicycle to cause the electric bicycle to adjust the output power of the motor based on the upper output power limit and a user input angle to a grip.
6. The method of claim 1, wherein controlling operation of the electric bicycle further comprises: Determining a riding route of the user riding the electric bicycle based on the energy consumption prediction data and a remaining amount of a battery of the electric bicycle, and The riding route is sent to at least one of the electric bicycle and a terminal device of the user to allow the user to ride the electric bicycle based on the riding route.
7. The method of claim 1, wherein determining the energy consumption prediction data comprises: And determining energy consumption prediction data of the user in the process of riding the electric bicycle through an energy consumption prediction model and based on the comprehensive energy consumption prediction information, wherein the energy consumption prediction model is trained based on historical data acquired by the user when riding the electric bicycle.
8. The method of claim 1, further comprising: In response to determining that the user riding the electric bicycle meets a predetermined condition, adjusting a virtual resource associated with the user, wherein the predetermined condition includes at least one of a charge level of the electric bicycle being ridden below a charge level threshold, riding in a push riding route, or a peak motor power output during riding not greater than a power threshold or a peak speed during riding not greater than a predetermined speed peak.
9. A method for operating an electric bicycle, comprising: responding to the operation of a user on the electric bicycle to prepare to ride the electric bicycle, and acquiring the current position of the electric bicycle and user information of the user to use the electric bicycle; Transmitting the current position and the user information to a remote device, so that the remote device determines energy consumption prediction data of the user in the process of riding the electric bicycle based on comprehensive energy consumption prediction information comprising the user information, the current position and road condition information related to the current position; obtaining control instructions from the remote device, the control instructions being determined based at least on a lower limit electrical power requirement, wherein the lower limit electrical power requirement is determined based on the energy consumption prediction data, and And controlling the operation of the electric bicycle based on the control instruction.
10. The method of claim 9, further comprising: And receiving an electric quantity early-warning level from the remote equipment so as to send reminding information about the electric quantity to a user based on the electric quantity early-warning level.
11. The method of claim 9, wherein controlling operation of the electric bicycle comprises: obtaining an upper output power limit of a motor of the electric bicycle from the remote device; Acquiring the input angle of the user to the handle and And adjusting the output power of the motor based on the upper output power limit and the input angle.
12. The method of claim 9, wherein controlling operation of the electric bicycle further comprises: acquiring a riding route of the user riding the electric bicycle from the remote device, and The riding route is presented to allow the user to ride the electric bicycle based on the riding route.
13. The method of claim 9, further comprising: In response to determining that the user has not reached the destination and that the electric bicycle has an electric quantity below a lower limit electric quantity indicated by the lower limit electric quantity requirement, the electric bicycle is caused to enter a power saving mode in which an output power of a motor of the electric bicycle is not above a power saving power threshold and/or a speed of the electric bicycle is not above a power saving speed threshold.
14. An electronic device, comprising: at least one processing unit, and At least one memory coupled to the at least one processing unit and storing machine-executable instructions that, when executed by the at least one processing unit, cause the apparatus to perform to implement the method of any of claims 1-8 or 9-13.
15. A computer readable storage medium having stored thereon one or more computer instructions, wherein the one or more computer instructions are executed by a processor to implement the method of any of claims 1-8 or claims 9-13.
16. A computer program product comprising computer executable instructions which when executed by a processor implement the method according to any one of claims 1-8 or claims 9-13.

Description

Method for operating an electric bicycle, electronic device, storage medium and program product Technical Field Example embodiments of the present disclosure relate generally to the field of electric bicycles and, more particularly, relate to a method, an electronic device, a storage medium, and a program product for operating an electric bicycle. Background Under the background of the current intelligent traffic development, an electric bicycle is taken as a convenient travel mode and is gradually favored by vast users. Through special mobile phone application, the user can view the electric quantity information of the electric bicycle in real time, so that the user is helped to reasonably plan a travel route, and accidental stop caused by insufficient electric quantity can be effectively reduced. Meanwhile, the application program also provides the position of the nearby charging station, so that a user can easily find a charging facility, and the traveling flexibility and convenience are improved. The realization of the function ensures that the use of the electric bicycle is more intelligent, and meets the requirement of a user on short trip. Disclosure of Invention In a first aspect of the present disclosure, a method for operating an electric bicycle is provided. The method may be performed by a server. The method comprises the steps of obtaining comprehensive energy consumption prediction information, wherein the comprehensive energy consumption prediction information at least comprises the current position of an electric bicycle, road condition information related to the current position and user information of a user who wants to use the electric bicycle, determining energy consumption prediction data of the user in the process of riding the electric bicycle based on the comprehensive energy consumption prediction information, determining lower limit electric quantity requirements for allowing the user to ride the electric bicycle based on the energy consumption prediction data, and controlling operation of the electric bicycle based on the lower limit electric quantity requirements. According to the embodiment of the disclosure, real-time and accurate electric quantity management and path prediction can be provided on the premise of not affecting normal riding of a user, intelligent interaction with real-time environmental factors is realized, and driving decisions are optimized. Under the condition, the lower limit of the electric quantity of the electric bicycle allowing a user to ride is not a fixed threshold value, but can be dynamically adjusted according to real-time environment factors, user information and the like, so that the overall energy utilization efficiency of the system can be improved, and the idle of the bicycle caused by the electric quantity problem is reduced. Further benefits of embodiments of the present disclosure will also be further described below. In some embodiments, the method further includes determining a destination for the user to ride the electric bicycle, obtaining distance information from the destination and distribution information for charging stations of the electric bicycle, determining an electrical quantity pre-warning level for the electric bicycle based on the energy consumption prediction data, the distance information and the distribution information, and causing at least one of the electric bicycle and a terminal device of the user to send alert information regarding the electrical quantity based on the electrical quantity pre-warning level. In some embodiments, determining the destination includes determining historical riding data for the user based on the user information and determining the destination based on the historical riding data. In some embodiments, determining the destination further includes obtaining user input regarding the destination from a terminal device of the user and determining the destination based on the input. In some embodiments, controlling operation of the electric bicycle includes determining an upper output power limit of a motor of the electric bicycle based on the road condition information and a remaining amount of a battery of the electric bicycle, and transmitting the upper output power limit to the electric bicycle to cause the electric bicycle to adjust the output power of the motor based on the upper output power limit and an input angle of a user to the grip. In some embodiments, controlling operation of the electric bicycle further includes determining a riding route for the user to ride the electric bicycle based on the energy consumption prediction data and a remaining amount of the battery of the electric bicycle, and transmitting the riding route to at least one of the electric bicycle and the user's terminal device to allow the user to ride the electric bicycle based on the riding route. In some embodiments, determining the energy consumption prediction data includes determining, by an energy consump