CN114044077A

CN114044077A - Overload detection method and device for electric bicycle and electric bicycle

Info

Publication number: CN114044077A
Application number: CN202111197444.5A
Authority: CN
Inventors: 高虎; 苗垚; 闫飞; 石芳; 张占洋; 高建磊; 孙静; 郭红燕; 张升光; 杨本云; 万小迪; 单静; 石小娜; 钟少武; 郭磊; 姚蕾萌; 卓泽涛
Original assignee: Mobai Beijing Information Technology Co Ltd
Current assignee: Mobai Beijing Information Technology Co Ltd
Priority date: 2021-10-14
Filing date: 2021-10-14
Publication date: 2022-02-15
Anticipated expiration: 2041-10-14
Also published as: CN114044077B

Abstract

The present disclosure provides an overload detection method and device for an electric bicycle, and an electric bicycle, wherein a plurality of distance sensors are arranged around a saddle of the electric bicycle in a surrounding manner, and the method comprises the following steps: acquiring a first signal reflecting the weight of the electric bicycle; acquiring a second signal output from the distance sensor, the second signal representing a detected distance between a target object around the seat and the distance sensor; detecting whether an overload event occurs or not according to the first signal and the second signal, wherein the overload event is an event that the number of people carried by the electric bicycle exceeds a set upper limit value of people carrying capacity; and executing a setting operation in response to the overload event in the case of detecting the occurrence of the overload event.

Description

Overload detection method and device for electric bicycle and electric bicycle

Technical Field

The present disclosure relates to the field of shared vehicle related technologies, and more particularly, to an overload detection method for an electric bicycle, an overload detection apparatus for an electric bicycle, and an electric bicycle.

Background

At present, the bicycle sharing trip becomes a emerging trip mode in a city, and the trip requirement of urban crowds can be effectively solved. Among the shared bicycles, electric bicycles are increasingly favored because they can provide riding power through a driving motor without being provided by a user.

Electric bicycle can rely on the motor to provide the helping hand of riding, consequently, more and more users begin to use electric bicycle trip. In the use of electric bicycle, the condition that the manned was ridden often appears, and this can increase the potential safety hazard, consequently, need to ride to the manned effectively and monitor, improve the security of using electric bicycle.

Disclosure of Invention

One object of the present disclosure is to provide a new technical solution for detecting multi-person riding.

According to a first aspect of the present disclosure, there is provided an overload detection method of an electric bicycle having a plurality of distance sensors disposed around a seat of the electric bicycle, the method including:

acquiring a first signal reflecting the weight of the electric bicycle;

acquiring a second signal output from the distance sensor, the second signal representing a detected distance between a target object around the seat and the distance sensor;

detecting whether an overload event occurs or not according to the first signal and the second signal, wherein the overload event is an event that the number of people carried by the electric bicycle exceeds a set upper limit value of people carrying capacity;

and executing a setting operation in response to the overload event in the case of detecting the occurrence of the overload event.

Optionally, the detecting whether an overload event occurs according to the first signal and the second signal includes:

determining a first detection result of the number of people carried by the electric bicycle according to the first signal;

determining a second detection result of the number of people carried by the electric bicycle according to the second signal;

and determining whether the overload event occurs according to the first detection result and the second detection result.

Optionally, the determining, according to the first signal, a first detection result of the number of people carrying the electric bicycle includes:

determining the current weight of the electric bicycle according to the first signal;

comparing the current weight with a set upper load limit value and a set lower load limit value;

and obtaining the first detection result according to the comparison result.

Optionally, the obtaining the first detection result according to the comparison result includes:

when the current weight exceeds the upper limit value of the load, determining that the first detection result is that the number of people carried by the electric bicycle exceeds the upper limit value of the people carried by the electric bicycle;

when the current weight exceeds the lower load limit value and does not exceed the upper load limit value, determining that the first detection result is that a person rides the electric bicycle and the number of people carried by the electric bicycle does not exceed the upper people limit value;

and determining that the first detection result is that the electric bicycle is not ridden by one when the current weight does not exceed the lower limit value of the load.

Optionally, the determining, according to the second signal, a second detection result of the number of people carrying the electric bicycle includes:

determining a distance sensor, as a first distance sensor, of which the detection distance to the target object is smaller than or equal to a corresponding distance threshold value, according to the second signal;

determining the number of first distance sensors and the distance between adjacent first distance sensors in each group of sensors; wherein the group of sensors comprises at least one first distance sensor arranged in series;

for each group of distance sensors, determining the width of the target object detected by each group of sensors according to the detection distance between the first distance sensor and the target object, the number of the first distance sensors and the distance between the adjacent first distance sensors;

and determining the second detection result according to the width of the target object detected by each group of sensors.

Optionally, the determining the second detection result according to the width of the target object detected by each group of sensors includes:

comparing the width of the target object detected by each group of sensors with a preset first width interval and a preset second width interval, wherein the second width interval is larger than the first width interval;

and determining the second detection result according to the comparison result.

Optionally, the determining the second detection result according to the comparison result includes:

determining the number of sensor groups of which the width of the detected target object is located in the first width interval as a first number;

determining the number of the sensor groups of which the width of the detected target object is located in the second width interval as a second number;

and determining the second detection result according to the first quantity and the second quantity.

Optionally, the determining the second detection result according to the first number and the second number includes:

determining that the second detection result is that the number of people carried by the electric bicycle exceeds the upper limit of people carrying when the first number is larger than a first number threshold, or when the second number is larger than a second number threshold, or when the first number is larger than or equal to the second number threshold and the second number is equal to the second number threshold;

determining that the second detection result is that a person rides the electric bicycle and the number of people carried by the electric bicycle does not exceed the people carrying upper limit value if the first number is less than or equal to the first number threshold and greater than or equal to the second number threshold and the second number is zero or if the first number is zero and the second number is greater than zero and less than or equal to the second number threshold;

and determining that the first detection result is that the electric bicycle is not ridden by people under the condition that the first number and the second number are both zero.

Optionally, the determining whether the overload event occurs according to the first detection result and the second detection result includes:

determining whether the overload event occurs according to any one of the first detection result and the second detection result under the condition that the first detection result and the second detection result are the same;

determining that an overload event does not occur when the first detection result and the second detection result are different and either one of the first detection result and the second detection result is that the electric bicycle is not ridden by a person;

and determining whether the overload event occurs according to the second detection result when the first detection result is different from the second detection result and the first detection result and the second detection result both comprise that a person rides the electric bicycle.

Optionally, the performing the setting operation in response to the overload event includes at least one of:

controlling the electric bicycle to output set prompt information;

controlling a mobile terminal using the electric bicycle to output set prompt information;

controlling a motor of the electric bicycle to stop outputting a rotational torque to wheels of the electric bicycle;

wherein the set prompt information includes information reflecting that the number of people carrying the electric bicycle exceeds a set upper limit of people carrying the electric bicycle.

According to a second aspect of the present disclosure, there is provided an overload detecting apparatus of an electric bicycle having a plurality of distance sensors disposed around a seat of the electric bicycle, the apparatus including:

a first signal acquisition module for acquiring a first signal reflecting a weight of the electric bicycle;

a second signal acquisition module for acquiring a second signal output by the distance sensor, the second signal representing a detected distance between a target object around the seat and the distance sensor;

the overload event detection module is used for detecting whether an overload event occurs according to the first signal and the second signal, wherein the overload event is an event that the number of people carried by the electric bicycle exceeds a set upper limit value of people carrying capacity;

and the setting operation executing module is used for executing the setting operation responding to the overload event under the condition that the overload event is detected to occur.

According to a third aspect of the present disclosure, there is provided an electric bicycle comprising a memory for storing an executable computer program and a processor; the processor is configured to execute the computer program to implement the method of the first aspect of the present disclosure.

Through the embodiments of the present disclosure, the electric bicycle may detect whether an overload event occurs to the electric bicycle according to a first signal reflecting a weight of the electric bicycle and a second signal indicating a detected distance between a target object around a seat and the electric bicycle provided by a distance sensor, and perform a setting operation in response to the overload event in case of detecting the occurrence of the overload event, to guide a user to use the electric bicycle as required, reducing a safety risk.

Other features of the present disclosure and advantages thereof will become apparent from the following detailed description of exemplary embodiments thereof, which proceeds with reference to the accompanying drawings.

Drawings

The accompanying drawings, which are incorporated in and constitute a part of the specification, illustrate embodiments of the disclosure and together with the description, serve to explain the principles of the disclosure.

Fig. 1 is a block diagram showing an example of a hardware configuration of an electric bicycle system that can be used to implement an embodiment of the present disclosure.

Fig. 2 shows a schematic diagram of an arrangement manner of the distance sensor in the electric bicycle of the embodiment of the present disclosure.

Fig. 3 shows a flowchart of an overload detection method of an electric bicycle according to an embodiment of the present disclosure.

Fig. 4 shows a schematic diagram of a grouping manner of the distance sensors of the embodiment of the present disclosure.

Fig. 5 shows a block schematic diagram of an overload detection device of an electric bicycle according to an embodiment of the present disclosure.

Fig. 6 shows a schematic block diagram of an electric bicycle of an embodiment of the present disclosure.

Detailed Description

Various exemplary embodiments of the present disclosure will now be described in detail with reference to the accompanying drawings. It should be noted that: the relative arrangement of the components and steps, the numerical expressions, and numerical values set forth in these embodiments do not limit the scope of the present disclosure unless specifically stated otherwise.

The following description of at least one exemplary embodiment is merely illustrative in nature and is in no way intended to limit the disclosure, its application, or uses.

Techniques, methods, and apparatus known to those of ordinary skill in the relevant art may not be discussed in detail but are intended to be part of the specification where appropriate.

In all examples shown and discussed herein, any particular value should be construed as merely illustrative, and not limiting. Thus, other examples of the exemplary embodiments may have different values.

It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, further discussion thereof is not required in subsequent figures.

< hardware configuration >

As shown in fig. 1, the electric bicycle system 100 includes a server 1000, a mobile terminal 2000, an electric bicycle 3000, and a network 4000.

The server 1000 provides a service point for processes, databases, and communications facilities. The server 1000 may be a unitary server or a distributed server across multiple computers or computer data centers. The server may be of various types, such as, but not limited to, a web server, a news server, a mail server, a message server, an advertisement server, a file server, an application server, an interaction server, a database server, or a proxy server. In some embodiments, each server may include hardware, software, or embedded logic components or a combination of two or more such components for performing the appropriate functions supported or implemented by the server. For example, a server, such as a blade server, a cloud server, etc., or may be a server group consisting of a plurality of servers, which may include one or more of the above types of servers, etc.

In one example, the server 1000 may be as shown in fig. 1, including a processor 1100, a memory 1200, an interface device 1300, a communication device 1400, a display device 1500, an input device 1600. Although the server may also include speakers, microphones, and the like, these components are reasonably irrelevant to the present disclosure and are omitted here.

The processor 1100 may be, for example, a central processing unit CPU, a microprocessor MCU, or the like. The memory 1200 includes, for example, a ROM (read only memory), a RAM (random access memory), a nonvolatile memory such as a hard disk, and the like. The interface device 1300 includes, for example, a USB interface, a serial interface, an infrared interface, and the like. Communication device 1400 is capable of wired or wireless communication, for example. The display device 1150 is, for example, a liquid crystal display panel, an LED display panel touch display panel, or the like. Input devices 1160 may include, for example, a touch screen, a keyboard, and the like.

In the present embodiment, the mobile terminal 2000 is an electronic device having a communication function and a service processing function. The mobile terminal 2000 may be a mobile terminal such as a mobile phone, a laptop, a tablet, a palmtop, etc. In one example, the mobile terminal 2000 is a device for performing management operations on the electric bicycle 3000, for example, a mobile phone installed with an Application (APP) for supporting and managing the electric bicycle.

As shown in fig. 1, the mobile terminal 2000 may include a processor 2100, a memory 2200, an interface device 2300, a communication device 2400, a display device 2500, an input device 2600, a speaker 2700, a microphone 2800, and the like. The processor 2100 may be a central processing unit CPU, a microprocessor MCU, or the like. The memory 2200 includes, for example, a ROM (read only memory), a RAM (random access memory), a nonvolatile memory such as a hard disk, and the like. The interface device 2300 includes, for example, a USB interface, a headphone interface, and the like. Communication device 2400 is capable of wired or wireless communication, for example. The display device 2500 is, for example, a liquid crystal display panel, a touch panel, or the like. The input device 2600 may include, for example, a touch screen, a keyboard, and the like. A user can input/output voice information through the speaker 2700 and the microphone 2800.

The electric bicycle 3000 has an identification code for uniquely identifying a corresponding bluetooth device, which may be a two-dimensional code and/or a number, which may be composed of numbers and/or characters.

The user may scan the two-dimensional code on the electric bicycle 3000 through the mobile terminal 2000, and then send the two-dimensional code information to the server 1000 to perform an unlocking operation.

The user may also input or recognize a number on the electric bicycle 3000 through the mobile terminal 2000, and then transmit the number information to the server 1000 to perform an unlocking operation.

When the user scans the two-dimensional code on the electric bicycle 3000 or inputs a number through the mobile terminal 2000, it is necessary to use functions of the mobile terminal 2000, such as a flashlight function, a positioning function, a camera function, and the like of the mobile terminal 2000.

In this embodiment, the memory 2200 of the mobile terminal 2000 is used to store a computer program for controlling the processor 2100 to operate to perform a method of using the electric bicycle, including, for example: acquiring a unique identifier of the electric bicycle 3000, generating an unlocking request for the electric bicycle, and sending the unlocking request to the server 1000; transmitting a lock closing request to a server for the electric bicycle 3000; and, bill calculation and the like are performed according to the charge settlement notice transmitted from the server 1000. A skilled person can design a computer program according to the solution disclosed in the present invention. How computer programs control the operation of the processor is well known in the art and will not be described in detail herein.

In this embodiment, the electric bicycle 3000 may be a bicycle with any form of motor, and the motor is used to output a rotation torque to the wheels of the electric bicycle 3000 to provide a riding assistance for a user, wherein the rotation torque in this embodiment refers to a torque that can drive the wheels to rotate so that the electric bicycle travels forward, and when the motor does not output the rotation torque, the electric bicycle cannot travel forward without providing forward power by the user.

As shown in fig. 1, the electric bicycle 3000 may include a processor 3100, a memory 3200, an interface device 3300, a communication device 3400, a display device 3500, an input device 3600, a state detection device 3700, motors 3800, and the like. The processor 3100 may be a central processing unit CPU, a microprocessor MCU, or the like. The memory 3200 includes, for example, a ROM (read only memory), a RAM (random access memory), a nonvolatile memory such as a hard disk, and the like. The interface 3300 includes, for example, a USB interface, a headphone interface, and the like. The communication device 3400 can perform wired or wireless communication, for example. The output device 3500 may be, for example, a device that outputs a signal, may be a display device such as a liquid crystal display screen or a touch panel, or may be a speaker or the like that outputs voice information or the like. The input device 3600 may include, for example, a touch panel, a keyboard, or the like, and may input voice information through a microphone. The state detector 3700 detects a corresponding state of the electric bicycle 3000 and outputs a signal indicating the corresponding state, and the state detector 3700 may output the signal by outputting an analog signal or a digital signal, which is not limited herein. Each motor 3800 includes at least a motor for outputting a rotational torque to a wheel of the electric bicycle.

The state detection device 3700 may be a sensing device or an integrated management module, etc. The state detector 3700 is connected to the controller via a corresponding circuit to form a corresponding state detection circuit. The electric bicycle 3000 may include a plurality of state detection circuits including, for example, at least one of a motion state detection circuit, a pressure detection circuit, a battery level detection circuit, a handle voltage detection circuit, a stator voltage detection circuit of a motor, a driving current detection circuit of a motor, a rotational speed detection circuit of a motor, a pedaling frequency detection circuit, a wheel motion detection circuit, and the like.

The above pressure detection circuit, drive current detection circuit, rotation speed detection circuit, and the like can function as a load detection circuit.

The processor 3100 is for executing a computer program, which may be written in an instruction set of an architecture such as x86, Arm, RISC, MIPS, SSE, etc. The computer program is for controlling the processor 2100 to operate to perform at least the following steps: detecting whether an overweight event occurs according to a target signal which reflects the weight of the electric bicycle and is provided by a state detection device arranged on the electric bicycle 3000, wherein the overweight event is an event that the weight of the electric bicycle 3000 exceeds a set upper load limit value; and, in the event of detecting the occurrence of the overweight event, performing a setting operation in response to the overweight event.

The network 4000 may be a wireless communication network or a wired communication network, and may be a local area network or a wide area network. In the article management system shown in fig. 1, electric bicycle 3000 and server 1000, and mobile terminal 2000 and server 1000 can communicate with each other through network 4000. The network 4000 through which the electric bicycle 3000 communicates with the server 1000 and the mobile terminal 2000 communicates with the server 1000 may be the same or different.

It should be understood that although fig. 1 shows only one server 1000, mobile terminal 2000, electric bicycle 3000, it is not meant to limit the corresponding number, and a plurality of servers 1000, mobile terminals 2000, electric bicycles 3000 may be included in the electric bicycle system 100.

Taking the electric bicycle 3000 as a shared bicycle as an example, the electric bicycle system 100 is a shared bicycle system. The server 1000 is used to provide all the functionality necessary to support shared bicycle use. The mobile terminal 2000 may be a mobile phone on which a shared bicycle application is installed, and the shared bicycle application may help a user to obtain a corresponding function using the electric bicycle 3000, and the like.

The electric bicycle system 100 illustrated in fig. 1 is merely illustrative and is in no way intended to limit the present disclosure, its application, or uses.

Although fig. 1 shows only one server 1000, one mobile terminal 2000, and one electric bicycle 3000, it should be understood that, in a specific application, the electric bicycle system 100 may include a plurality of servers 1000, a plurality of mobile terminals 2000, and a plurality of electric bicycles 3000 according to actual requirements.

In an embodiment of the present disclosure, the memory 1200 of the server 1000 is used for storing instructions for controlling the processor 1100 to operate so as to execute the method provided by the embodiment of the present disclosure.

Although a number of devices are shown for server 1000 in fig. 1, the present disclosure may refer to only some of the devices, for example, server 1000 refers to only memory 1200 and processor 1100.

In the embodiment of the present disclosure, the memory 3200 of the electric bicycle 3000 is used for storing instructions for controlling the processor 3100 to operate the electric bicycle 3000 to perform the method provided by the embodiment of the present disclosure.

Although a plurality of devices are shown for the electric bicycle 3000 in fig. 1, the present disclosure may refer to only some of the devices, for example, the electric bicycle 3000 refers to only the memory 3200 and the processor 3100.

In the above description, the skilled person can design the instructions according to the disclosed solution of the present disclosure. How the instructions control the operation of the processor is well known in the art and will not be described in detail herein.

< method examples >

The embodiment provides an overload detection method for an electric bicycle. The overload detection method of the electric bicycle is implemented by the electric bicycle. In one example, the electric bicycle may be a shared electric bicycle, and in particular may be the electric bicycle 3000 shown in fig. 1.

As shown in fig. 2, a plurality of distance sensors 3820 are provided around a seat 3810 of the electric bicycle of the present embodiment.

The vehicle seat periphery sensor can be arranged near the vehicle seat periphery by using a plurality of distance sensors, the interval between every two adjacent distance sensors can be preset and can be 1-3 cm, for example, the distance sensors can be formed to completely surround the vehicle seat periphery or form a U-shaped ring to surround the vehicle seat periphery, and the distance sensors are not limited to the vehicle seat periphery and the vehicle seat lower side and are used for identifying the number and the positions of the user sitting on the back legs.

In a case where the user normally rides the electric bicycle, the user usually places the legs on the pedals 3830 after sitting.

As shown in fig. 3, the overload detection method of the electric bicycle includes steps S3100 to S3400.

In step S3100, a first signal reflecting a weight of the electric bicycle is acquired.

In this embodiment, the electric bicycle may be provided with a load detection circuit. The load detection circuit may output a first signal reflecting a weight of the electric bicycle. The load detection circuit may output the first signal by an analog signal or a digital signal, which is not limited herein.

The load detection circuit may include an electronic component connected in the circuit, an integrated chip connected in the circuit, a sensor device connected in the circuit, and the like, which are not limited herein.

The electric bicycle may include a pressure detection circuit as a load detection circuit for detecting a pressure value applied to a seat of the electric bicycle and outputting a signal reflecting the pressure value, where the signal reflecting the pressure value may be the above first signal since the pressure value is related to a negative weight.

In one embodiment, the electric bicycle may include a rear wheel mount, a seat support, and a shock absorber, and the pressure detection circuit includes a pressure sensor. The saddle support rotates with the wheel mounting frame to be connected, and the bumper shock absorber is connected between rear wheel mounting frame and pressure sensor, and pressure sensor can set up on the saddle, can also set up in bumper shock absorber department, can also connect between bumper shock absorber and saddle support.

In this embodiment, the rear wheel mounting bracket is used for mounting a rear wheel of the electric bicycle, and the seat support bracket is used for mounting a seat of the electric bicycle, wherein the seat is mounted on the top of the seat support bracket. The wheel mounting bracket can be rotatably connected with the seat support at the bottom of the seat support. Thus, under the condition that the seat is applied with external force, the seat support and the rear wheel mounting frame can rotate relatively to each other by a corresponding amplitude, and further the compression degree of the shock absorber is changed. The degree of compression of the shock absorber is related to the magnitude of applied external force, and the signal that pressure sensor sensed can change along with the degree of compression of shock absorber again, therefore, through the structural design who connects shock absorber and pressure sensor in series between rear wheel mounting bracket and saddle support, can detect the pressure value of applying on the saddle through pressure sensor, can also reduce the vibrations that probably conduct to the saddle through the shock absorber.

The pressing force in this embodiment may be a force of the seat in any direction, and is not limited herein. For example, the pressure may be gravity in a vertical direction, that is, the pressure detection circuit may be a gravity detection circuit for detecting gravity, and correspondingly, the pressure detection circuit may include a gravity sensor or the like connected in the circuit, that is, the above pressure sensor may be a gravity sensor, which is not limited herein.

In this embodiment, through setting up pressure detection circuit as the detection circuitry that bears a burden, can detect the size that the saddle was exerted pressure, and then can follow the angle that the user is located on the saddle, detect whether electric bicycle takes place overweight incident, be favorable to improving the accuracy of the detection result that bears a burden.

In step S3200, a second signal output by the distance sensor is acquired, the second signal indicating a detection distance between a target object around the seat and the distance sensor.

In the present embodiment, it may be that the second signals output from all the distance sensors arranged around the vehicle seat are acquired.

In a case where the user is seated on the seat, the target object detected by the partial distance sensor may be a leg of the user.

The distance sensor in the present embodiment may be disposed on the seat support, and may detect the distance of a target object other than the electric bicycle from the electric bicycle.

In this embodiment, the distance between every two adjacent distance sensors may be stored in advance. In the plurality of distance sensors, the distances between the adjacent distance sensors may be equal or different, and are not limited herein.

And step S3300, detecting whether an overload event occurs according to the first signal and the second signal.

The overload event is an event that the number of people carried by the electric bicycle exceeds a set upper limit value of people carrying.

Under normal conditions, in order to avoid safety problems in riding an electric bicycle with a person, the electric bicycle only allows one person to ride the electric bicycle, and therefore, the set upper limit value of the person may be 1.

In the present embodiment, since the first signal reflects the weight of the electric bicycle and the second signal represents the detected distance between the target object around the seat and the distance sensor, it is possible to detect whether or not the electric bicycle is overloaded based on the first signal and the second signal.

In one embodiment of the present disclosure, detecting whether an overload event occurs according to the first signal and the second signal may include steps S3310 to S3330 as follows:

step S3310, according to the first signal, determining a first detection result of the number of people carrying the electric bicycle.

In one embodiment, the first detection result of determining the number of people riding the electric bicycle according to the first signal may include steps S3311 to S3313 as follows:

step S3311, determining a current weight of the electric bicycle according to the first signal.

In this embodiment, the current weight of the electric bicycle may be obtained from the first signal reflecting the weight of the electric bicycle. The current weight may be the weight of the electric bicycle reflected by the newly obtained first signal in the process of executing the method of the present embodiment this time.

In one embodiment of the present disclosure, the current weight of the electric bicycle may be obtained by establishing first mapping data reflecting a mapping relationship between a signal value of the first signal and the weight, based on a current value of the first signal and the first mapping data.

In this embodiment, the first mapping data may be a first mapping function, a first lookup table, or the like, which is not limited herein.

For the first mapping function, the dependent variable of the first mapping function is the weight and the independent variable is the signal value of the brake signal, so that the current weight corresponding to the first signal can be obtained by substituting the current value of the first signal obtained in step S2100 into the mapping function.

For the first look-up table, a value of the negative weight corresponding to the current value of the first signal may be looked up in the first look-up table. If the current value of the first signal cannot be found directly in the first look-up table, two signal values adjacent to the current value of the first signal can be found, and the current negative weight corresponding to the current value of the first signal is obtained by an interpolation means according to the two signal values and the numerical values of the negative weights respectively corresponding to the two signal values.

Step S3312, the current weight is compared with the set upper limit and lower limit of the load.

In the present embodiment, the upper load limit and the lower load limit may be set as needed, for example, determined according to the weight range of adults who are allowed to use the electric bicycle, so as to achieve the purpose of detecting the number of people carrying the electric bicycle.

In an embodiment where the electric bicycle may include a pressure detection circuit as the load detection circuit, the current pressure value may be obtained based on the signal reflecting the pressure value, and thus, the current pressure value may be compared with a set first pressure threshold and a set second pressure threshold, and the first detection result may be obtained based on the comparison result.

In this embodiment, since the upper load limit has a specific mapping relationship with the first pressure threshold, the lower load limit has a specific mapping relationship with the second pressure threshold. Therefore, the pressure threshold value may be determined by applying the upper limit value of the load to the seat and measuring a pressure value reflected by a signal output from the pressure detection circuit at that time, which is not limited herein.

In this embodiment, the signal reflecting the pressure value may be sampled for a plurality of times within the first set time period, the pressure value obtained by each sampling may be compared with the first pressure threshold and the second pressure threshold, and the first detection result may be determined according to the result of the comparison for the plurality of times, so that the accuracy of the first detection result may be improved.

Step S3313, a first detection result is obtained according to the comparison result.

In this embodiment, when the current weight load exceeds the upper limit load, it may be determined that the first detection result is that the number of people riding the electric bicycle exceeds the upper limit person riding.

When the current weight exceeds the lower load limit and does not exceed the upper load limit, it may be determined that the first detection result indicates that a person rides on the electric bicycle and the number of people riding on the electric bicycle does not exceed the upper load limit.

In a case where the current weight load does not exceed the lower limit value of the load, it may be determined that the first detection result is that no one is riding the electric bicycle.

According to the method of the embodiment, the first detection result of the number of people carrying the electric bicycle can be accurately obtained according to the first signal reflecting the weight of the electric bicycle.

Step S3320, determining a second detection result of the number of people carrying the electric bicycle according to the second signal.

In one embodiment of the present disclosure, the second detection result of determining the number of people riding the electric bicycle according to the second signal may include steps S3321 to S3324 as follows:

step S3321 of determining, as the first distance sensor, a distance sensor whose detection distance to the target object is smaller than or equal to a corresponding distance threshold value, based on the second signal.

In this embodiment, a corresponding distance threshold may be set in advance according to the position of each distance sensor in the electric bicycle. For the distance sensors disposed at different positions, the corresponding distance thresholds may be the same or different, and are not limited herein.

For example, in the example shown in fig. 2, the distance sensor in the section Z1 is located near the center axis of the entire vehicle, and the legs are often gathered together in this section after a user is seated, and the front side thereof is configured by a handle bar, a wind screen, or the like. Thus, a distance threshold within the Z1 segment may be set to Z1; by analogy, the thresholds for the distance sensors in the Z2, Z3, and Z4 sections are set to Z2, Z3, and Z4, respectively, depending on the position of the distance sensor in the different sections and the characteristics of the leg when the user is seated.

In this embodiment, the detection distance between each distance sensor and the target object detected by the distance sensor may be determined according to the second signal output by each distance sensor, and the detection distance between each distance sensor and the detected target object may be compared with the corresponding distance threshold, so as to obtain the first distance sensor in which the detection distance between the first distance sensor and the target object is smaller than or equal to the corresponding distance threshold.

In the example shown in fig. 4, C1 represents a curve formed by each distance sensor and the corresponding distance threshold, and the target object located between the curve and the distance sensor can be detected by at least one distance sensor, and the detection distance between the target object and the distance sensor is smaller than or equal to the distance threshold corresponding to the cluster sensor.

T1 and T2 represent target objects, d1 represents a detection distance between the distance sensor K1 and the detected target object T1, d2 represents a detection distance between the distance sensor K2 and the detected target object T1, d4 represents a detection distance between the distance sensor K4 and the detected target object T2, d5 represents a detection distance between the distance sensor K5 and the detected target object T2, and d6 represents a detection distance between the distance sensor K6 and the detected target object T2. As can be seen from fig. 4, d1 is smaller than the distance threshold corresponding to the distance sensor K1, d2 is smaller than the distance threshold corresponding to the distance sensor K2, d4 is smaller than the distance threshold corresponding to the distance sensor K4, d5 is smaller than the distance threshold corresponding to the distance sensor K5, and d6 is smaller than the distance threshold corresponding to the distance sensor K6. For the distance sensors K3 and K7, no target object is detected in a range less than or equal to the corresponding distance threshold, and therefore, it may be that the distance sensors K1, K2, K4, K5, K6 are taken as the first distance sensors.

Step S3322, determining the number of first distance sensors and the distance between adjacent first distance sensors in each group of sensors; wherein the set of sensors comprises at least one first distance sensor arranged in series.

In this embodiment, all the first distance sensors may be grouped to obtain at least one group of distance sensors. Specifically, the first distance sensors arranged in series may be grouped into one group. In a set of sensors, any one first sensor has another first sensor adjacent thereto. The first distance sensors in different groupings are not adjacent.

Further, the distance between every two adjacent distance sensors may be preset in the electric bicycle. Therefore, the distance between the adjacent first distance sensors in each group of sensors can be directly acquired.

In the example shown in fig. 4, the distance sensors K1, K2 may be a group of sensors, and the distance sensors K4, K5, K6 may be a group of sensors.

Step S3323, for each group of sensors, determining a width of the target object detected by each group of sensors according to the detection distance between the first distance sensor and the target object, the number of first distance sensors, and the distance between adjacent first distance sensors.

In this embodiment, a second mapping function reflecting a mapping relationship between the detection distance between the first distance sensor in one group of sensors and the target object, the number of first distance sensors in one group of sensors, the distance between adjacent first distance sensors in one group of sensors, and the width of the target object detected by the sensor group may be established in advance, so as to obtain the width of the target object detected by each group of sensors according to the detection distance between the first distance sensor in each group of sensors and the target object, the number of first distance sensors, the distance between adjacent first distance sensors, and the second mapping function.

Step S3324, determining a second detection result according to the width of the target object detected by each group of sensors.

In one embodiment of the present disclosure, determining the second detection result according to the width of the target object detected by each set of sensors may include:

and comparing the width of the target object detected by each group of sensors with a preset first width interval and a preset second width interval, and determining a second detection result according to the comparison result.

Wherein, the second width interval is larger than the first width interval. Specifically, the minimum value of the second width section is larger than the maximum value of the first width section.

The first width section and the second width section may be set according to requirements, respectively. For example, the first width section is determined according to the width range of one leg of an adult who is allowed to use the electric bicycle, the second width section is determined according to the width range of the closed legs of the adult who is allowed to use the electric bicycle, and the like, so as to achieve the purpose of detecting the number of people carried by the electric bicycle.

Determining the number of sensor groups of which the width of the detected target object is in a first width interval as a first number; determining the number of the sensor groups of which the width of the detected target object is in a second width interval as a second number; and determining a second detection result according to the first quantity and the second quantity.

In this embodiment, for a group of sensors whose detected target object has a width smaller than the minimum value of the first width interval, the detected target object may not be a human leg and may be another obstacle, and therefore, the number of groups of sensors whose detected target object has a width smaller than the minimum value of the first width interval is not counted.

For a group of sensors in which the width of the detected target object is greater than the maximum value of the second width interval, it may be that the user riding the electric bicycle does not specify a subject, and therefore, the number of groups of sensors in which the width of the detected target object is greater than the maximum value of the second width interval is not counted.

In this embodiment, the same group of sensors detect the same target object, and different groups of sensors detect different target objects.

In one embodiment of the present disclosure, determining the second detection result according to the comparison result may include:

determining that the second detection result is that the number of people carried by the electric bicycle exceeds the upper limit value of the number of people carried by the electric bicycle under the condition that the first number is greater than a first number threshold value, or the second number is greater than a second number threshold value, or the first number is greater than or equal to the second number threshold value and the second number is equal to the second number threshold value; when the first number is smaller than or equal to the first number threshold value, larger than or equal to the second number threshold value and the second number is zero, or when the first number is zero and the second number is larger than zero and smaller than or equal to the second number threshold value, determining that the second detection result is that a person rides the electric bicycle and the number of the persons riding the electric bicycle does not exceed the person riding upper limit value; and under the condition that the first number and the second number are both zero, determining that the first detection result is that the electric bicycle is not ridden by people.

In the present embodiment, the first number threshold and the second number threshold may be set in advance according to the demand. Since the user may separate the legs or may close the legs when riding the electric bicycle, the first number threshold may be set to 2 and the second number threshold may be set to 1.

That is, in the case where the first number is greater than 2, or in the case where the second number is greater than 1, or in the case where the first number is greater than or equal to 1 and the second number is equal to 1, it is determined that the second detection result is that the number of people carrying the electric bicycle exceeds the people carrying upper limit value; when the first number is less than or equal to 2 and greater than or equal to 1 and the second number is zero, or when the first number is zero and the second number is greater than zero and less than or equal to 1, determining that the second detection result is that the electric bicycle is ridden by a person and the number of people carried by the electric bicycle does not exceed the people carrying upper limit value; and under the condition that the first number and the second number are both zero, determining that the first detection result is that the electric bicycle is not ridden by people.

Step S3330, determining whether an overload event occurs according to the first detection result and the second detection result.

In one embodiment of the present disclosure, the first detection result and the second detection result may be weighted, and whether an overload event occurs or not may be determined according to the weighted calculation.

In this embodiment, the first and second detection results may be numerical values indicating the number of people carried by the electric bicycle, weights of the first and second detection results are preset, a weighted average of the first and second detection results is determined, a final detection result is obtained, and whether an overload event occurs is determined according to the final detection result.

In another embodiment of the present disclosure, a neural network or a machine learning model may be preset, and the first detection result and the second detection result are input into the preset neural network or the machine learning model, so as to obtain a determination result of whether an overload event occurs.

In yet another embodiment of the present disclosure, determining whether the overload event occurs according to the first detection result and the second detection result may further include: determining whether an overload event occurs according to any one of the first detection result and the second detection result under the condition that the first detection result and the second detection result are the same; determining that an overload event does not occur when the first detection result and the second detection result are different and any one of the first detection result and the second detection result is the unmanned electric bicycle; and determining whether the overload event occurs according to the second detection result when the first detection result is different from the second detection result and the first detection result and the second detection result both comprise that the person rides the electric bicycle.

Specifically, the final detection result may be determined according to table 1 below, and whether an overload event occurs may be determined according to the final detection result.

TABLE 1

In this embodiment, when the first detection result indicates that no one is riding and the second detection result indicates that no one is riding, it may be determined that the final detection result is that no one is riding, and correspondingly, it may be determined that the overload event does not occur. Under the condition that the first detection result represents single riding and the second detection result represents no riding, the final detection result can be determined to be riding non-standard, and correspondingly, the overload event can be determined not to occur. Under the condition that the first detection result represents that multiple persons ride and the second detection result represents that no person rides, the final detection result can be determined to be that the riding is not standard, and correspondingly, the overload event can be determined not to occur. Under the condition that the first detection result represents that no one rides and the second detection result represents that one rides, the final detection result can be determined to be riding non-standard, and correspondingly, the overload event can be determined not to occur. Under the condition that the first detection result represents single riding and the second detection result represents single riding, the final detection result can be determined to be single riding, and correspondingly, the overload event can be determined not to occur. Under the condition that the first detection result represents that multiple persons ride and the second detection result represents that a single person rides, the final detection result can be determined to be the single person ride, and correspondingly, the overload event can be determined not to occur. Under the condition that the first detection result indicates that no one rides and the second detection result indicates that multiple persons ride, the final detection result can be determined to be that the riding is not standard, and correspondingly, the overload event can be determined not to occur. Under the condition that the first detection result represents single riding and the second detection result represents multi-riding, the final detection result can be determined to be multi-riding, and correspondingly, the occurrence of an overload event can be determined. Under the condition that the first detection result represents that multiple persons ride and the second detection result represents that multiple persons ride, the final detection result can be determined to be that multiple persons ride, and correspondingly, the occurrence of an overload event can be determined.

In step S3400, in the case where the occurrence of the overload event is detected, a setting operation in response to the overload event is performed.

In this embodiment, the electric bicycle may be preset with a setting operation for responding to the overweight event to output a response to the overweight event to the user, thereby reminding the user to solve the overweight problem, otherwise, the electric bicycle may not be normally used.

In one embodiment, performing the set operation in response to the overweight event may include: and controlling the electric bicycle to output the set prompt information. Like this, the user can directly learn to have detected the overload problem according to the suggestion that electric bicycle gave, and then in time reduces the number of riding electric bicycle to make electric bicycle resume normal use.

This control electric bicycle output sets up the suggestion information, can include: and controlling an audio output device and/or a display device of the electric bicycle to output the setting prompt message. The information content can be visually embodied and is convenient for users to understand by outputting the prompt information through the audio output device and/or the display device.

In one embodiment, performing the set operation in response to the overweight event may also include: and controlling the mobile terminal using the electric bicycle to output the setting prompt information. The prompt information is output through the mobile terminal, even if the electric bicycle is not provided with an output device capable of outputting the set prompt information, the relevant prompt can be carried out, and the electric energy of the electric bicycle can be saved.

The controlling the mobile terminal to output the setting prompt message may include: and controlling an audio output device and/or a display device of the mobile terminal to output the setting prompt information.

The above audio output device is, for example, a speaker. The audio output device can output the setting prompt information through voice.

The above display means may be any type of display screen. The display device may output the setting prompt information by characters, images, or the like.

In this embodiment, the electric bicycle may send a control message to the server through the communication device, so that the server controls the mobile terminal to output the setting prompt message according to the control message.

For example, the setting prompt message may include a message reflecting that the number of people carried by the electric bicycle exceeds the set upper limit number of people carried by the electric bicycle. This may remind the user to reduce the number of people riding the electric bicycle, for example, to ride one person instead in the case where there is a problem of riding many people. For another example, the setting prompt message may include a message instructing the user to reset the handle bar of the electric bicycle to the initial position.

The rotating handle is used for being operated by a user to adjust the rotating speed of the electric bicycle, correspondingly, the electric bicycle is also provided with a rotating handle voltage detection circuit corresponding to the rotating handle, and the rotating handle voltage detection circuit is used for providing a rotating handle voltage signal reflecting the position of the rotating handle. The user will change the handle and change to different positions, change the voltage signal and will correspond different commentaries on classics handle voltage, like this, electric bicycle alright with according to changeing the voltage signal, adjust the motor rotational speed through the rotation moment of torsion of control motor output to make electric bicycle to the control of rotational speed unanimous with the speed regulation demand that the user operated to change the handle, wherein, change the handle and be located initial position, the motor will not output this rotation moment of torsion. According to the setting, after an overload event is caused, the user resets the rotating handle to the initial position by prompting the user, so that the electric bicycle can not run out due to sudden acceleration when the normal use is recovered, and the safety is improved.

In one embodiment, the electric bicycle may include a motor for outputting a rotational torque to a wheel of the electric bicycle, and a controller of the electric bicycle is connected to the motor to control the rotational torque. In this embodiment, the performing of the setting operation in response to the overweight event in step S3400 may include: the motor is controlled not to output the rotational torque.

In this embodiment, the purpose that the motor does not output the rotation torque can be achieved by any mode such as disconnecting the power supply circuit of the motor or controlling the inverter of the motor not to work, so that the electric bicycle is gradually decelerated to zero under the condition that a user does not actively apply forward power, and finally the forward motion is stopped.

In this embodiment, under the condition that detects overweight incident, the control motor does not output the rotation torque, will make the motor can't continue to provide the helping hand of riding, and at this moment, the user if wish continue to use electric bicycle, need reduce the weight of bearing to below the heavy burden upper limit value to can pass through the overload detection of new time, and then make electric bicycle resume normal use, this can effectively avoid appearing many people and ride electric bicycle's problem.

The electric bicycle of the present embodiment may detect whether an overload event occurs to the electric bicycle based on a first signal reflecting a weight of the electric bicycle and a second signal indicating a detected distance between a target object around a seat and the electric bicycle provided by a distance sensor, and perform a setting operation in response to the overload event in case of detecting the occurrence of the overload event, to guide a user to use the electric bicycle as desired, reducing a safety risk.

< apparatus embodiment >

In accordance with the above method, the present disclosure also provides an overload detection apparatus 5000 for an electric bicycle having a plurality of distance sensors disposed around a saddle thereof. As shown in fig. 5, the overload detection apparatus 5000 of the electric bicycle may include a first signal acquisition module 5100, a second signal acquisition module 5200, an overload event detection module 5300, and a setting operation execution module 5400. The first signal obtaining module 5100 is configured to obtain a first signal reflecting a weight of the electric bicycle; the second signal acquisition module 5200 is configured to acquire a second signal output by the distance sensor, where the second signal represents a detection distance between a target object around the vehicle seat and the distance sensor; the overload event detection module 5300 is configured to detect whether an overload event occurs according to the first signal and the second signal, where the overload event is an event in which the number of people carried by the electric bicycle exceeds a set upper limit value of people carried by the electric bicycle; the setting operation executing module 5400 is configured to execute a setting operation in response to an overload event if the occurrence of the overload event is detected.

In an embodiment of the present disclosure, the overload event detection module 5300 may be further configured to:

In one embodiment of the present disclosure, the determining the first detection result of the number of people carrying the electric bicycle according to the first signal includes:

and obtaining a first detection result according to the comparison result.

In one embodiment of the present disclosure, obtaining the first detection result according to the comparison result includes:

under the condition that the current load weight exceeds the upper limit value of load, determining that the number of people carrying the electric bicycle exceeds the upper limit value of people carrying the electric bicycle as a first detection result;

under the condition that the current load weight exceeds the lower load limit value and does not exceed the upper load limit value, determining that the first detection result is that a person rides the electric bicycle and the number of the persons of the electric bicycle does not exceed the upper person limit value;

and determining that the first detection result is the unmanned electric bicycle when the current weight does not exceed the lower limit value of the load.

In one embodiment of the present disclosure, the determining the second detection result of the number of people carrying the electric bicycle according to the second signal includes:

determining a distance sensor, as a first distance sensor, having a detection distance to the target object smaller than or equal to a corresponding distance threshold value, based on the second signal;

and determining a second detection result according to the width of the target object detected by each group of sensors.

In one embodiment of the present disclosure, determining the second detection result according to the width of the target object detected by each set of sensors includes:

and determining a second detection result according to the comparison result.

In one embodiment of the present disclosure, determining the second detection result according to the comparison result includes:

determining the number of sensor groups of which the width of the detected target object is in a first width interval as a first number;

determining the number of the sensor groups of which the width of the detected target object is in a second width interval as a second number;

and determining a second detection result according to the first quantity and the second quantity.

In one embodiment of the disclosure, determining the second detection result according to the first number and the second number comprises:

determining that the second detection result is that the number of people carried by the electric bicycle exceeds the upper limit value of the number of people carried by the electric bicycle under the condition that the first number is greater than a first number threshold value, or the second number is greater than a second number threshold value, or the first number is greater than or equal to the second number threshold value and the second number is equal to the second number threshold value;

when the first number is smaller than or equal to the first number threshold value, larger than or equal to the second number threshold value and the second number is zero, or when the first number is zero and the second number is larger than zero and smaller than or equal to the second number threshold value, determining that the second detection result is that a person rides the electric bicycle and the number of the persons riding the electric bicycle does not exceed the person riding upper limit value;

and under the condition that the first number and the second number are both zero, determining that the first detection result is that the electric bicycle is not ridden by people.

In one embodiment of the present disclosure, determining whether an overload event occurs according to the first detection result and the second detection result includes:

determining whether an overload event occurs according to any one of the first detection result and the second detection result under the condition that the first detection result and the second detection result are the same;

determining that an overload event does not occur when the first detection result and the second detection result are different and any one of the first detection result and the second detection result is the unmanned electric bicycle;

and determining whether the overload event occurs according to the second detection result when the first detection result is different from the second detection result and the first detection result and the second detection result both comprise that the person rides the electric bicycle.

In one embodiment of the present disclosure, the setting operation performing module 5400 may be further configured to perform at least one of the following:

controlling the electric bicycle to output set prompt information;

controlling a motor of the electric bicycle to stop outputting a rotation torque to wheels of the electric bicycle;

the set prompt information comprises information reflecting that the number of people carried by the electric bicycle exceeds the set upper limit of people carrying.

It will be appreciated by those skilled in the art that the overload detecting apparatus 5000 of the electric bicycle can be implemented in various ways. For example, the overload detection apparatus 5000 of the electric bicycle may be implemented by an instruction configuration processor. For example, the instructions may be stored in the ROM, and when the device is started, the instructions are read from the ROM into a programmable device to implement the overload detecting apparatus 5000 of the electric bicycle. For example, the overload detecting apparatus 5000 of the electric bicycle may be incorporated into a dedicated device (e.g., ASIC). The overload detecting apparatus 5000 of the electric bicycle may be divided into units independent of each other, or may be implemented by combining them together. The overload detecting apparatus 5000 of the electric bicycle may be implemented by one of the various implementations described above, or may be implemented by a combination of two or more of the various implementations described above.

In this embodiment, the overload detecting device 5000 of the electric bicycle can have various implementation forms, for example, the overload detecting device 5000 of the electric bicycle can be any functional module running in a software product or an application program providing the overload detecting service of the electric bicycle, or a peripheral insert, a plug-in, a patch, etc. of the software product or the application program, and can also be the software product or the application program itself.

< electric bicycle embodiment >

In this embodiment, an electric bicycle 6000 is also provided, as shown in fig. 6, including a memory 6100 and a processor 6200.

The memory 6100 is used for storing executable computer programs; the processor 6200 is configured to execute the computer program to implement the overload detection method for the electric bicycle provided in any one of the embodiments.

The present disclosure may be systems, methods, and/or computer program products. The computer program product may include a computer-readable storage medium having computer-readable program instructions embodied thereon for causing a processor to implement various aspects of the present disclosure.

The computer readable storage medium may be a tangible device that can hold and store the instructions for use by the instruction execution device. The computer readable storage medium may be, for example, but not limited to, an electronic memory device, a magnetic memory device, an optical memory device, an electromagnetic memory device, a semiconductor memory device, or any suitable combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a Static Random Access Memory (SRAM), a portable compact disc read-only memory (CD-ROM), a Digital Versatile Disc (DVD), a memory stick, a floppy disk, a mechanical coding device, such as punch cards or in-groove projection structures having instructions stored thereon, and any suitable combination of the foregoing. Computer-readable storage media as used herein is not to be construed as transitory signals per se, such as radio waves or other freely propagating electromagnetic waves, electromagnetic waves propagating through a waveguide or other transmission medium (e.g., optical pulses through a fiber optic cable), or electrical signals transmitted through electrical wires.

The computer-readable program instructions described herein may be downloaded from a computer-readable storage medium to a respective computing/processing device, or to an external computer or external storage device via a network, such as the internet, a local area network, a wide area network, and/or a wireless network. The network may include copper transmission cables, fiber optic transmission, wireless transmission, routers, firewalls, switches, gateway computers and/or edge servers. The network adapter card or network interface in each computing/processing device receives computer-readable program instructions from the network and forwards the computer-readable program instructions for storage in a computer-readable storage medium in the respective computing/processing device.

The computer program instructions for carrying out operations of the present disclosure may be assembler instructions, Instruction Set Architecture (ISA) instructions, machine-related instructions, microcode, firmware instructions, state setting data, or source or object code written in any combination of one or more programming languages, including an object oriented programming language such as Smalltalk, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The computer-readable program instructions may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider). In some embodiments, the electronic circuitry that can execute the computer-readable program instructions implements aspects of the present disclosure by utilizing the state information of the computer-readable program instructions to personalize the electronic circuitry, such as a programmable logic circuit, a Field Programmable Gate Array (FPGA), or a Programmable Logic Array (PLA).

Various aspects of the present disclosure are described herein with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the disclosure. It will be understood that each block of the flowchart illustrations and/or block diagrams, and combinations of blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer-readable program instructions.

These computer-readable program instructions may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions/acts specified in the flowchart and/or block diagram block or blocks. These computer-readable program instructions may also be stored in a computer-readable storage medium that can direct a computer, programmable data processing apparatus, and/or other devices to function in a particular manner, such that the computer-readable medium storing the instructions comprises an article of manufacture including instructions which implement the function/act specified in the flowchart and/or block diagram block or blocks.

The computer readable program instructions may also be loaded onto a computer, other programmable data processing apparatus, or other devices to cause a series of operational steps to be performed on the computer, other programmable apparatus or other devices to produce a computer implemented process such that the instructions which execute on the computer, other programmable apparatus or other devices implement the functions/acts specified in the flowchart and/or block diagram block or blocks.

The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of instructions, which comprises one or more executable instructions for implementing the specified logical function(s). In some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions. It is well known to those skilled in the art that implementation by hardware, by software, and by a combination of software and hardware are equivalent.

Having described embodiments of the present disclosure, the foregoing description is intended to be exemplary, not exhaustive, and not limited to the disclosed embodiments. Many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the described embodiments. The terminology used herein is chosen in order to best explain the principles of the embodiments, the practical application, or improvements made to the technology in the marketplace, or to enable others of ordinary skill in the art to understand the embodiments disclosed herein. The scope of the present disclosure is defined by the appended claims.

Claims

1. A method of detecting an overload of an electric bicycle having a plurality of distance sensors disposed around a seat of the electric bicycle, the method comprising:

acquiring a first signal reflecting the weight of the electric bicycle;

2. The method of claim 1, the detecting whether an overload event occurs based on the first signal and the second signal comprising:

3. The method of claim 2, the determining, from the first signal, a first detection of the number of people carrying the electric bicycle comprising:

and obtaining the first detection result according to the comparison result.

4. The method of claim 3, the deriving the first detection result according to the comparison result comprising:

5. The method of claim 2, wherein determining a second detection of the number of people carrying the electric bicycle from the second signal comprises:

6. The method of claim 5, the determining the second detection result according to a width of a target object detected by each set of sensors comprising:

and determining the second detection result according to the comparison result.

7. The method of claim 6, the determining the second detection result from the comparison result comprising:

8. The method of claim 7, the determining the second detection result from the first number and the second number comprising:

9. The method of claim 2, the determining whether the overload event occurred based on the first detection result and the second detection result comprising:

10. The method of claim 1, the performing a setup operation in response to the overload event comprising at least one of:

controlling the electric bicycle to output set prompt information;

11. An overload detecting apparatus of an electric bicycle having a plurality of distance sensors disposed around a seat of the electric bicycle, the apparatus comprising:

12. An electric bicycle comprising a processor and a memory for storing an executable computer program; the processor is configured to execute the computer program to implement the method of any one of claims 1 to 10.