WO2023071638A1 - 驱动组件管理系统、故障检测方法及电助力自行车 - Google Patents

驱动组件管理系统、故障检测方法及电助力自行车 Download PDF

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Publication number
WO2023071638A1
WO2023071638A1 PCT/CN2022/120344 CN2022120344W WO2023071638A1 WO 2023071638 A1 WO2023071638 A1 WO 2023071638A1 CN 2022120344 W CN2022120344 W CN 2022120344W WO 2023071638 A1 WO2023071638 A1 WO 2023071638A1
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WIPO (PCT)
Prior art keywords
component
digital components
fault detection
status data
identification information
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PCT/CN2022/120344
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English (en)
French (fr)
Inventor
孙敏
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南京懂玫驱动技术有限公司
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Publication of WO2023071638A1 publication Critical patent/WO2023071638A1/zh

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    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B62—LAND VEHICLES FOR TRAVELLING OTHERWISE THAN ON RAILS
    • B62M—RIDER PROPULSION OF WHEELED VEHICLES OR SLEDGES; POWERED PROPULSION OF SLEDGES OR SINGLE-TRACK CYCLES; TRANSMISSIONS SPECIALLY ADAPTED FOR SUCH VEHICLES
    • B62M6/00—Rider propulsion of wheeled vehicles with additional source of power, e.g. combustion engine or electric motor
    • B62M6/40—Rider propelled cycles with auxiliary electric motor
    • B62M6/45—Control or actuating devices therefor
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B62—LAND VEHICLES FOR TRAVELLING OTHERWISE THAN ON RAILS
    • B62M—RIDER PROPULSION OF WHEELED VEHICLES OR SLEDGES; POWERED PROPULSION OF SLEDGES OR SINGLE-TRACK CYCLES; TRANSMISSIONS SPECIALLY ADAPTED FOR SUCH VEHICLES
    • B62M6/00—Rider propulsion of wheeled vehicles with additional source of power, e.g. combustion engine or electric motor
    • B62M6/80—Accessories, e.g. power sources; Arrangements thereof
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
    • G01M17/00—Testing of vehicles
    • G01M17/007—Wheeled or endless-tracked vehicles
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/005—Testing of electric installations on transport means
    • G01R31/006—Testing of electric installations on transport means on road vehicles, e.g. automobiles or trucks

Definitions

  • the present application relates to the technical field of component management, in particular to a drive component management system, a fault detection method and an electric assist bicycle.
  • electric power-assisted bicycles can also provide assistance during the riding process of the user, so as to reduce the riding force of the user.
  • electric power-assisted bicycles need to have a drive system.
  • the driving components in the driving system of the traditional electric assist bicycle usually do not have the ability of information processing, and cannot automatically obtain the running status of the driving components. Therefore, for traditional electric bicycles, if fault detection is required, the driving system of the electric bicycle needs to be disassembled first, and after dismantling, human beings can subjectively judge whether each driving component is faulty.
  • the purpose of this application is to provide a driving component management system, a fault detection method and an electric power-assisted bicycle to solve the problems in the prior art that the driving components of the electric power-assisted bicycle are not intelligent enough and the driving components fail Detection difficulties and other issues.
  • the embodiment of the present application provides a drive component management system
  • the drive component management system includes: Internet of Things devices, multiple digital components and buses; each digital component includes: one of the drive systems of the electric assist bicycle A drive component, and a digitization circuit connected to the drive component, the digitization circuit includes: a component signal processing circuit, a first processor, and a first memory, the input end of the component signal processing circuit is connected to the signal of the drive component
  • the acquisition terminal is used to process the driving signal of the driving component during the working process to obtain the working status data of the digital component
  • the first processor is also connected to the component signal processing circuit to obtain the digital component the working state data
  • the first memory is connected to the first processor to store the working state data and the identification information of the digital component;
  • the IoT device is communicatively connected to the first processor in the multiple digital components through the bus, so as to perform fault detection according to the working status data of the multiple digital components and the identification information of the multiple digital components .
  • the plurality of digital components include: a motor digital component, and the drive component in the motor digital component is a motor;
  • the drive component management system further includes: a controller, and the controller includes: a motor drive circuit and a second processor; the second processor is connected to the bus, so that the second processor acquires the working status data of the plurality of digital components;
  • the second processor is also connected to the motor drive circuit, so that the second processor outputs a pulse control signal to the motor drive circuit based on the working state data of the plurality of digital components;
  • the motor drive circuit is connected to the three-phase input end of the motor, so that the three-phase control signal output by the motor drive circuit drives the motor to output power assist.
  • the controller further includes: a second memory connected to the second processor to store identification information of the controller and working status data of the controller.
  • the IoT device is communicatively connected to a cloud server, so that the cloud server performs fault detection on the electric assist bicycle based on the working status data of the plurality of digital components.
  • the drive component management system further includes: a fault detection device mounted on the bus to troubleshoot the electric assist bicycle based on the working state data of the plurality of digital components detection.
  • the plurality of digital components further include: at least one digital component among battery management digital components, instrument digital components, and sensor digital components.
  • the embodiment of the present application provides a fault detection method for a drive component, the method is applied to the drive component management system described in any one of the above first aspects, and the method includes:
  • Fault detection is performed according to the working status data of the multiple digital components and the identification information of the multiple digital components.
  • the performing fault detection according to the working status data of the multiple digital components and the identification information of the multiple digital components includes:
  • the working status data of the multiple digital components and the identification information of the multiple digital components are transmitted to the cloud server through the Internet of Things device, so that the cloud server according to the working status data of the multiple digital components and the The identification information of the plurality of digital components is used for fault detection; or,
  • the IoT device performs fault detection according to the working status data of the multiple digital components and the identification information of the multiple digital components; or,
  • Fault detection is performed by the fault detection device according to the working status data of the multiple digital components and the identification information of the multiple digital components.
  • the method also includes:
  • the fault detection result indicates that at least one digital component among the plurality of digital components is faulty, generating order information for replacing the at least one digital component according to the identification information of the at least one digital component that has failed.
  • an embodiment of the present application provides an electric assist bicycle, which includes: an electric assist bicycle frame and the drive component management system described in any one of the above first aspects mounted on the electric assist bicycle frame .
  • Embodiments of the present application provide a drive component management system, a fault detection method, and an electric bicycle.
  • the drive component management system includes: Internet of Things devices, multiple digital components and buses, each digital component includes: a drive component and A digitization circuit connected to the drive component, the digitization circuit includes a component signal processing circuit, a first processor and a first memory, the input end of the component signal processing circuit is connected to the signal acquisition end of the drive component, so as to realize the collection of working state data of the drive component , the first processor is also connected to the signal processing circuit of the component, and the first memory is connected to the first processor to realize the storage of the working status data and the identification information of the digital component;
  • the processor is connected in communication so as to perform fault detection according to the working status data of the multiple digital components and the identification information of the multiple digital components.
  • the driving component management system of the electric bicycle includes the Internet of Things device, and each digital component connected to the Internet of Things device through the bus, in addition to the traditional driving component, also includes The signal processing circuit of the component, the corresponding processor and the corresponding memory realize the collection of the working status data of the driving component by the digital component and the storage of the working status data and identification information, and realize the intelligence of the digital component, so that, in the When the drive components are inspected and maintained, there is no need to dismantle them, and no human judgment is required. Automatic fault detection can be performed based on the working status data and identification information, which effectively facilitates the maintenance of the drive system of the electric assist bicycle.
  • FIG. 1 is a schematic structural diagram of a drive component management system provided in an embodiment of the present application
  • FIG. 2 is a schematic structural diagram of another drive component management system provided by an embodiment of the present application.
  • FIG. 3 is a schematic structural diagram of another drive component management system provided by an embodiment of the present application.
  • FIG. 4 is a schematic structural diagram of another drive component management system provided by an embodiment of the present application.
  • FIG. 5 is a schematic structural diagram of another drive component management system provided by an embodiment of the present application.
  • FIG. 6 is a schematic flowchart of a fault detection method for a drive component provided in an embodiment of the present application
  • FIG. 7 is a schematic structural diagram of an electric assist bicycle provided in an embodiment of the present application.
  • Icons 100-IoT device; 200-digital component; 201-driver component; 202-digital circuit; 203-component signal processing circuit; 204-first processor; 205-first memory; 300-bus; 400-control 401-motor drive circuit; 402-second processor; 403-second memory; 500-cloud server; 600-client; 700-fault detection device; 800-electric bicycle; 801-drive component management system; 802 - Electric bicycle frame.
  • the drive components in the drive system of the electric assist bicycle may fail, so that the electric assist bicycle cannot accurately provide assistance to the user, but due to the various drives in the drive system of the traditional electric assist bicycle
  • the components only have the corresponding basic functions, and do not have the functions of data collection and storage. They are not intelligent enough, so that the user cannot know which drive component is faulty, let alone know the relevant information of the faulty drive component, which will affect the follow-up
  • the repair and replacement service of the company has caused difficulties.
  • this application provides a digital drive component management system that is more intelligent than the drive system of traditional electric-assisted bicycles.
  • the management system ie, the digital drive component management system, is explained in detail.
  • FIG. 1 is a schematic structural diagram of a drive component management system provided by an embodiment of the present application.
  • the drive component management system includes: an Internet of Things device 100 , multiple digital components 200 and a bus 300 , and the Internet of Things device 100 communicates with the multiple digital components 200 through the bus 300 .
  • each digital component 200 includes: a drive component 201 in the drive system of the electric assist bicycle, and a digital circuit 202 connected with the drive component 201 .
  • the digitization circuit 202 includes: a component signal processing circuit 203 , a first processor 204 and a first memory 205 .
  • the first processor 204 may be, for example, an MCU (Microcontroller Unit).
  • the input terminal of the component signal processing circuit 203 is connected to the signal acquisition terminal of the driving component 201 to process the driving signal of the driving component 201 during operation to obtain the working status data of the digitizing component 200 .
  • the component signal processing circuit 203 can, for example, perform current limiting and denoising processing on the driving signal to obtain the working status data of the digital component 200 .
  • the first processor 204 is also connected to the component signal processing circuit 203 to obtain working status data of the digital component 200 .
  • the component signal processing circuit 203 can be connected to the AD terminal (a port for inputting analog quantities) of the first processor 204 .
  • the first memory 205 is connected to the first processor 204 to store working status data and identification information of the digital component 200 .
  • the working state data may be stored in the first memory 205 after being acquired by the first processor 204, and the identification information of the digital component 200 is pre-stored in the first memory 205 before leaving the factory.
  • the identification information of the digitization component 200 may be the serial number of the drive component 201 in the digitization component 200 , and the serial number of the drive component 201 can uniquely identify the drive component 201 to distinguish different drive components 201 .
  • the serial number of the drive assembly 201 can include at least one kind of information such as manufacturer, product model, batch, date, serial number, etc., and the serial number of the assembly can be uniformly set according to the same manufacturer and the same product model; the serial number of the assembly can also be set according to the manufacturer, The product model, batch, date, unique number, etc. are uniquely set.
  • the IoT device 100 is communicatively connected to the first processors 204 in the multiple digital components 200 through the bus 300 , that is, the IoT device 100 and the multiple digital components 200 are both connected to the bus 300 .
  • the Internet of Things device 100 and the digitization circuit 202 in each digitization component 200 all include a bus interface
  • the Internet of Things device 100 is connected to the bus through its own bus interface
  • each digitization component 200 is The bus interface is connected to the bus.
  • the bus interface of the digitization circuit 202 is connected with the first processor 204 in the digitization circuit 202 .
  • the bus interface is an interface matched with the bus 300, and if the bus 300 is a CAN (Controller Area Network) bus, the bus interface is a CAN bus interface.
  • the Internet of Things device 100 can be set at the front of the electric bicycle (located between the two handlebars of the electric bicycle); the Internet of Things device 100 can also be used as an independent device, not fixedly installed inside the electric bicycle, but When it is necessary to manage the driving components, the reserved interface of the bus 300 is used to connect to the driving system. Instead of being an independent device, the function of the Internet of Things device 100 can be integrated into the control device of the electric assist bicycle to realize the corresponding connection relationship of the Internet of Things device 100 .
  • the first processor 204 in the digitizing circuit 202 of the digitizing component 200 obtains the working status data, it can encapsulate the working status data into a data packet of the bus protocol and transmit it to the bus 300 through the corresponding bus interface.
  • the bus 300 is a CAN bus
  • the bus protocol may be a CAN bus protocol.
  • the IoT device 100 can acquire the working status data of each digital component 200 and the identification information of each digital component 200 transmitted by the first processor 204 in the plurality of digital components 200 . After acquiring the working status data of multiple digital components 200 and the identification information of multiple digital components 200 , the IoT device 100 can perform fault detection by itself, or send it to other devices for fault detection.
  • the CAN protocol is explained as an example as follows: the CAN protocol supports broadcast communication and point-to-point communication.
  • the point-to-point message belongs to the process communication message, and any node can send each other.
  • the CAN protocol supports 16 nodes.
  • the data frame structure that can be used can be as shown in Table 1 below:
  • the start segment, CRC segment, ACK segment and end segment can be automatically generated by the hardware of the processor in the IoT device and digital components, and the content of the arbitration segment, control segment and data segment can be configured by software.
  • the Start of Frame (SOF) field may also be referred to as a Start of Frame (SOF) field to indicate the start of a data frame.
  • the arbitration segment carries an identification (ID), and it is impossible for multiple devices on the bus to use the same ID to transmit data frames at the same time. In the arbitration section, information such as source node ID, target node ID, command, priority, and data type is added to distinguish different transmission data frames.
  • the control segment can be used to represent reserved bits and the number of data bytes, which occupies 6 bits and indicates the number of data bytes to be transmitted.
  • the data segment carries data content, and data of 0-8 bytes can be sent, that is, the amount of data transmitted in one frame is 0-8 bytes, and the length exceeds 8BYTE, which requires multiple packets to be sent.
  • the CRC segment can be used to check frames for transmission errors.
  • the ACK segment is used as a confirmation that the frame has been received normally.
  • the end segment can be used to indicate the end of a data frame.
  • the IoT device 100 may acquire working status data and identification information through broadcasting.
  • the Internet of Things device 100 can broadcast and send a data collection message to each digital component 200 through the bus 300. After each digital component 200 receives the broadcast data collection message, it can send the working status data of each digital component 200 and The identification information is transmitted to the IoT device 100 .
  • the IoT device 100 may acquire working status data and identification information in a peer-to-peer manner.
  • the Internet of Things device 100 can also send a point-to-point data collection message to the digital component 200 through the bus 300, and the digital component 200 transmits the working status data and identification information of the digital component 200 during the idle period after receiving the data collection message. to the IoT device 100.
  • the Internet of Things device 100 as shown above may also include a processor and corresponding memory, and the memory in the Internet of Things device 100 can store the working status data of multiple digital components 200 acquired by the Internet of Things device 100 and the multiple digital components. In the case of the identification information of 200, the working status data of multiple digital components 200 and the identification information of multiple digital components 200 are stored.
  • the memory in the IoT device 100 can also store identification information of the IoT device 100 and corresponding working status data.
  • the processor in the IoT device 100 may also be, for example, an MCU.
  • the processor in the Internet of Things device 100 can also be connected with a network communication interface, and the Internet of Things device 100 can communicate with other external devices through the network communication interface. Other external devices may be, for example, a cloud server, or an intelligent terminal connected to the IoT device 100 .
  • the drive component management system of the electric power-assisted bicycle includes IoT devices, and each digital component connected to the IoT device through the bus, in addition to the traditional drive components, It also includes a component signal processing circuit, a corresponding processor and a corresponding memory, which realizes the collection of the working status data of the driving component by the digital component and the storage of the working status data and identification information, and realizes the intelligence of the digital component, so that the , when testing and maintaining the driving components, there is no need to disassemble or make human judgments, and automatic fault detection can be carried out based on the working status data and identification information, which effectively facilitates the maintenance of the driving system of the electric power-assisted bicycle and provides users with Provide more convenient after-sales service.
  • FIG. 2 is a schematic structural diagram of another drive component management system provided in the embodiment of the present application.
  • the plurality of digitization components 200 include: a motor digitization component.
  • the drive component 201 in the motor digitization component is a motor
  • the drive component management system also includes: a controller 400, wherein the controller 400 includes: a motor drive circuit 401 and a second processor 402 ;
  • the second processor 402 is connected to the bus 300, so that the second processor 402 obtains the working state data of a plurality of digital components 200;
  • the second processor 402 is also connected to the motor drive circuit 401, so that the second processor 402 Based on the working state data of multiple digital components 200, output pulse control signals to the motor drive circuit;
  • the motor drive circuit is connected to the three-phase input end of the motor, so that the three-phase control signal output by the motor drive circuit drives the motor to output power assistance.
  • the controller 400 can cooperate with the motor through the motor drive circuit 401 in the controller to drive the motor to rotate.
  • the controller 400 as a data information processing unit and a driving instruction execution unit, is the core of the entire driving system, and can provide power assistance by controlling the rotation of the driving motor.
  • the motor can be a hub motor, which is installed in the hub of the bicycle, and the controller 400 can control the hub motor through the motor drive circuit 401 in the controller to directly drive the wheel to rotate.
  • the motor can also be a central motor, which is a motor installed in the middle of the body of the electric assisted bicycle (i.e. the pedal position), connected to the wheel through a chain, and the controller 400 can pass through the motor drive circuit 401 in the controller.
  • the central motor is controlled to drive the wheels to rotate.
  • the second processor 402 in the controller 400 may be an MCU.
  • the motor digital component its corresponding working status data is: at least one kind of working status data such as Hall position signal, temperature signal, speed signal and so on is generated when the motor is working.
  • the working state data can be used to determine whether the motor in the motor digital component is faulty, as shown in Table 2 below.
  • the temperature signal amplitude in the working state data can be used to determine whether the motor temperature sensor is faulty (for example, when the motor rotates, the output There is no change in the temperature signal of the motor, or the output temperature signal rises too fast), the temperature signal in the working state data can be used to determine whether the temperature of the motor reaches the protection point, the Hall position signal in the working state data can be used to determine whether the motor Is there a Hall fault.
  • the controller 400 further includes: a second memory 403 connected to the second processor 402 to store identification information of the controller 400 and working state data of the controller 400 .
  • the identification information of the controller 400 may be a component serial number of the controller 400 , which is used to uniquely identify the identity of the controller 400 .
  • the working state data of the controller 400 may include: at least one kind of working state data such as three-phase bridge arm driving signals (U, V, W), voltage signals, current signals, and temperature signals.
  • U, V, W three-phase bridge arm driving signals
  • the temperature signal in the working status data can be used to determine whether the temperature of the controller 400 has reached the protection point.
  • the working status data The temperature signal amplitude in the controller 400 can be used to determine the fault of the temperature sensor of the controller 400, and the voltage signal in the working state data can be used to determine whether the voltage in the controller 400 is overvoltage or undervoltage, and then perform overvoltage protection or low voltage protection.
  • the current signal in the working state data can be used to determine whether the current in the controller 400 is overcurrent, and the current signal amplitude in the working state data can be used to determine the fault of the current sensor in the controller 400 (for example, when the controller 400 is running , the output current signal is too large).
  • the controller 400 Since the controller 400 is connected to the bus 300 through the second processor 402 , the controller 400 is also communicatively connected with the IoT device 100 through the bus 300 .
  • the IoT device 100 obtains the identification information of the controller 400 and the working status data of the controller 400 through the bus 300 , so as to detect the fault of the controller 400 according to the identification information of the controller 400 and the working status data of the controller 400 .
  • another driving component management system connects the controller to the motor digital components among multiple digital components, and uses IoT devices to obtain the working status data and identification information of the controller and the motor digital group, and then Fault detection can be performed on the controller and motor digital group.
  • FIG. 3 is a schematic structural diagram of another drive component management system provided in the embodiment of the present application.
  • the multiple digital components 200 further include: at least one digital component among battery management digital components, instrument digital components, and sensor digital components.
  • the digital battery management component includes: a battery and a power management system BMS of the battery.
  • the digital battery management component can also be connected to a charger.
  • the battery is used as the energy supply unit of the drive component management system.
  • the battery management system is the battery protection board and the communication management module.
  • the battery communicates with each functional unit through the battery management system.
  • the identification information of the battery management digital component may be the component serial number of the battery management digital component, which is used to uniquely identify the identity of the battery management digital component; the working status data of the battery management digital component may include current signals, voltage signals, and temperature signals Wait for at least one kind of working status data.
  • the temperature signal in the working status data can be used to determine whether the battery temperature is too high/ is too low
  • the voltage signal in the working status data can be used to determine whether the total voltage is too high/low, whether the cell voltage is too high, whether the SOC is too high Whether the current is too large.
  • the instrument digital component is a human-machine interface for information display and setting. Users can view various information of the entire vehicle on the instrument side, and can also set the functions displayed by the instrument; the instrument includes a display panel (man-machine interface) and buttons.
  • the identification information of the instrument digital component can be the component serial number of the instrument digital component, which is used to uniquely identify the instrument digital component; as shown in Table 4 below, the working status data of the instrument digital component can be communication data. When the communication data is abnormal, It can be judged that the digital components of the instrument are faulty or abnormal.
  • the sensor digital component is the digital sensor, which is the motion acquisition unit, which converts the riding motion of the person into a pulse signal and sends it to the controller through the bus.
  • the sensor digital components include: cadence sensor digital components, torque sensor digital components, which can convert the pedaling action of the rider into electrical signals and send them to the controller through the bus, which plays an important auxiliary role in driving the motor rotation of the controller.
  • the identification information of the sensor digitization component may be the component serial number of the sensor digitization component, which is used to uniquely identify the identity of the sensor digitization component.
  • the working state data of the sensor digital component can be at least one kind of working state data such as cadence signal and torque signal.
  • the working state data can be used to determine whether the sensor has a torque sensor cadence signal fault
  • the torque signal in the working state data can be used to determine whether the sensor has a torque sensor torque signal fault
  • the cadence signal amplitude and The amplitude of the torque signal can be used to determine whether there is a speed sensor failure.
  • another driving component management system provided by this application accurately monitors the power supply by obtaining the working status data and identification information corresponding to the motor digital component, battery management digital component, instrument digital component, sensor digital component, and controller. Fault detection in the drive components of a power assist bicycle.
  • FIG. 4 is a schematic structural diagram of another drive component management system provided in the embodiment of the present application.
  • the IoT device 100 is also communicatively connected to the cloud server 500 , so that the cloud server 500 can perform fault detection on the electric assist bicycle based on the working status data of multiple digital components 200 .
  • the cloud server 500 can pre-store information related to the digital components 200 of the electric power-assisted bicycle drive system, such as the identification information of each digital component 200, the inventory of drive components in various regions and/or dealers, and the data parameters corresponding to the normal working conditions of the digital components 200. , fault parameters and relevant regulations on maintenance and replacement, etc.
  • the IoT device 100 transmits the working status data and identification information of the digital component 200 to the cloud server 500 through network communication.
  • the cloud server 500 can classify and store the digital component 200 according to the identification information, analyze the working state data of the digital component 200, and determine the state of the driving component 201 (normal or faulty) according to the analysis of normal working state parameters and fault parameters.
  • the identification information corresponding to the drive component 201 is obtained, and a demand order for the replacement of the drive component 201 is generated according to the identification information corresponding to the drive component 201, wherein the demand order includes the fault drive component 201.
  • Information such as identification information, identification information of the new drive assembly 201 used for replacement, and replacement locations (such as maintenance points).
  • the cloud server 500 is also connected to the client 600 through communication.
  • the users of the client 600 can be the manufacturer of the drive unit 201 , the vehicle manufacturer, the dealer, or the end user. Different users have different authority settings.
  • the cloud server 500 determines that a drive component 201 is faulty and generates a demand order, the cloud server 500 can push the demand order to the corresponding client 600 .
  • the cloud server 500 can obtain the MAC (MediaAccessControl) address of the IoT device 100 , and then obtain the corresponding client 600 through the preset correspondence between the MAC address of the IoT device 100 and the client 600 .
  • MAC MediaAccessControl
  • another driving component management system transmits the working status data and identification information corresponding to the digital components to the cloud server, so that the cloud server can troubleshoot the electric bicycle based on the working status data of multiple digital components. detection. In this way, fault-driven components can be accurately known, and corresponding demand orders can be sent to users in a timely manner.
  • FIG. 5 is a schematic connection diagram of another drive component management system provided in the embodiment of the present application.
  • the drive component management system further includes: a fault detection device 700 .
  • the fault detection device 700 is mounted on the bus 300 to detect faults of the electric assist bicycle based on the working state data of a plurality of digital components 200 . Since the cloud server 500 analyzes the working status data and judges the faulty driving component 201 after acquiring the working status data and identification information of the digital component 200, the driving component management system of the electric assist bicycle does not connect to the cloud server in real time. 500, therefore, may cause a delay in fault detection. Furthermore, the working status data of multiple digital components 200 and the identification information of multiple digital components 200 are transmitted to the fault detection device 700 through the Internet of Things device 100, and the detection of the digital components 200 can be completed through the fault detection device 700, and the detection results The data is transmitted to the cloud server 500 through the IoT device 100.
  • the fault detection device 700 can be integrated in the IoT device 100, and the detection of the digital component 200 is completed by the fault detection device 700 in the IoT device 100, and the IoT device 100 transmits the detection result to the cloud Server 500.
  • another drive component management system uses fault detection equipment to complete the detection of digital components, and then transmits the detection results to the cloud server. Therefore, when the driving component management system of the electric bicycle is not connected to the cloud server, localized fault detection is realized, and the fault result is uploaded to the server, which reduces the transmission of communication data and the dependence on the communication network.
  • FIG. 6 is a schematic flow chart of a method for detecting a fault of a driving component provided in an embodiment of the present application. As shown in Figure 6, the method includes:
  • the digital component After receiving the data collection message sent by the IoT device, the digital component transmits its own working status data and its own identification information to the IoT device through the bus, and the IoT device obtains the working status data of multiple digital components and multiple After the identification information of the digitized components, the working status data of the multiple digital components and the identification information of the multiple digital components are transmitted to the cloud server.
  • S102 Perform fault detection according to the working status data of the multiple digital components and the identification information of the multiple digital components.
  • the real-time working status data of the digital component is compared with the normal working status data range of the digital component, and if the real-time working status data of the digital component is not within the normal working status data range, it is determined that the digital component is faulty or abnormal.
  • the model of the digital component can be determined through the identification information of the digital component, and thus the model of the faulty drive component can be determined, so as to replace the faulty drive component.
  • the present application provides a fault detection method for a drive component, which detects faults through working status data of multiple digital components and identification information of multiple digital components acquired by an Internet of Things device. Therefore, when testing and maintaining the drive components, automatic fault detection can be performed based on the working status data and identification information without dismantling or human judgment, which effectively facilitates the maintenance of the drive system of the electric power-assisted bicycle and provides Users provide more convenient after-sales service.
  • an embodiment of the present application further provides a fault detection method of the drive assembly. After fault detection is performed according to the working status data of the multiple digital components and the identification information of the multiple digital components in S102, the method includes:
  • the fault detection result indicates that at least one digital component among the plurality of digital components is faulty, generating order information for replacing at least one digital component according to the identification information of the at least one digital component that has failed.
  • the demand order information includes information such as identification information of a faulty driving component, identification information of a new driving component used for replacement, and a replacement location (such as a maintenance point).
  • a replacement location such as a maintenance point.
  • the present application provides a fault detection method for a drive component, which generates order information for replacing a failed digital component based on the identification information of the failed digital component. Therefore, the user can more conveniently know the fault and replacement information of the driving component, and provide the user with more convenient after-sales service.
  • an embodiment of the present application further provides a specific implementation method of fault detection in the fault detection method of the drive assembly.
  • the IoT device transmits the working status data of the multiple digital components and the identification information of the multiple digital components to the cloud server.
  • the cloud server compares the real-time working status data of the digital component with the normal working status data range of the digital component. If the real-time working status data of the digital component is not within the normal working status data range, it is determined that the digital component is faulty.
  • the IoT device can directly perform fault detection according to the working status data of the multiple digital components and the identification information of the multiple digital components.
  • the IoT device is integrated with a fault detection module. After obtaining the real-time working status data of multiple digital components and the identification information of multiple digital components, the fault detection module combines the real-time working status data of multiple digital components with multiple The normal working state data range of the digital component is compared. If the real-time working state data of the digital component is not within the normal working state data range, it is determined that the digital component is faulty. The IoT device transmits the detection results to the cloud server.
  • the working status data of the multiple digital components and the identification information of the multiple digital components are transmitted to the fault detection device connected to the bus of the IoT device through the IoT device.
  • the fault detection device compares the real-time working status data of multiple digital components with the normal working status data range of multiple digital components, and if the real-time working status data of the digital component is not within the normal working status data range, it is determined Faults, and the detection results are transmitted to the cloud server through the IoT device.
  • the specific implementation method of the fault detection in the fault detection method of the above-mentioned driving components provided by the present application uses the cloud server, the Internet of Things device, and the fault detection device to perform fault detection respectively. Therefore, through the combination of online server and localization, the fault detection of digital components can be completed all the time, reducing the transmission of communication data and the dependence on the communication network.
  • Embodiments of the present application may also provide an electric assist bicycle based on the above drive component management system.
  • FIG. 7 is a schematic structural diagram of an electric assist bicycle provided in an embodiment of the present application.
  • the electric assist bicycle 800 includes: an electric assist bicycle frame 802 and the aforementioned driving component management system 801 mounted on the electric assist bicycle frame 802 .
  • the electric power-assisted bicycle uses a drive component management system mounted on the frame of the electric power-assisted bicycle, so that when the drive components in the electric power-assisted bicycle are inspected and maintained, there is no need to disassemble them, and it is also possible to Automatic fault detection can be performed based on working status data and identification information without human judgment, which effectively facilitates the maintenance of the drive system of the electric power-assisted bicycle and provides users with more convenient after-sales service.
  • the disclosed devices and methods may be implemented in other ways.
  • the device embodiments described above are only illustrative.
  • the division of the units is only a logical function division. In actual implementation, there may be other division methods.
  • multiple units or components can be combined or May be integrated into another system, or some features may be ignored, or not implemented.
  • the mutual coupling or direct coupling or communication connection shown or discussed may be through some interfaces, and the indirect coupling or communication connection of devices or units may be in electrical, mechanical or other forms.
  • the units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place, or may be distributed to multiple network units. Part or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.
  • each functional unit in each embodiment of the present application may be integrated into one processing unit, each unit may exist separately physically, or two or more units may be integrated into one unit.
  • the above-mentioned integrated units can be implemented in the form of hardware, or in the form of hardware plus software functional units.
  • the above-mentioned integrated units implemented in the form of software functional units may be stored in a computer-readable storage medium.
  • the above-mentioned software functional units are stored in a storage medium, and include several instructions to enable a computer device (which may be a personal computer, server, or network device, etc.) or a processor (English: processor) to execute the functions described in various embodiments of the present application. part of the method.
  • the aforementioned storage media include: U disk, mobile hard disk, read-only memory (English: Read-OnlyMemory, abbreviated: ROM), random access memory (English: RandomAccessMemory, abbreviated: RAM), magnetic disk or optical disc, etc.

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Abstract

驱动组件管理系统、故障检测方法及电助力自行车，该驱动组件管理系统，包括：物联网设备（100）、多个数字化组件（200）以及总线（300）；每个数字化组件（200）包括：驱动组件（201），以及与驱动组件（201）连接的数字化电路（202），数字化电路（202）包括：组件信号处理电路（203）、第一处理器（204）及第一存储器（205），组件信号处理电路（203）的输入端连接驱动组件（201）的信号采集端，第一处理器（204）还连接组件信号处理电路（203）；第一存储器（205）连接第一处理器（204）；物联网设备（100）通过总线（300）与多个数字化组件（200）中的第一处理器（204）通信连接，以根据多个数字化组件（200）的工作状态数据以及标识信息进行故障检测。本系统无需人工判别，即可根据获取到的工作状态数据、标识信息进行故障检测，使得电助力自行车中驱动组件易维护。

Description

驱动组件管理系统、故障检测方法及电助力自行车
相关申请的交叉引用
本申请要求于2021年10月28日提交中国国家知识产权局的申请号为202111262287.1、名称为“驱动组件管理系统、故障检测方法及电助力自行车”的中国专利申请的优先权，其全部内容通过引用结合在本申请中。
技术领域
本申请涉及组件管理技术领域，具体而言，涉及一种驱动组件管理系统、故障检测方法及电助力自行车。
背景技术
随着科技与经济的快速发展，电助力自行车已经深入人们的生活，而对电助力自行车的技术需求也越来越高。
电助力自行车相对于传统的自行车，在具有基本骑行功能的基础上，还可在用户骑行的过程中，提供助力，以减少用户骑行用力。电助力自行车要满足助力，需具备驱动系统。传统的电助力自行车的驱动系统中的驱动组件通常不具有信息处理的能力，无法自动获取到驱动组件的运行状态。因此，针对传统的电助力自行车，若需要进行故障检测，需要先将电助力自行车的驱动系统进行拆解，在拆解之后，人为主观判断各驱动组件是否存在故障。
因此，传统的电助力自行车由于驱动组件不够智能，这给驱动系统中驱动组件的故障检测造成困难，从而使得电助力自行车的驱动系统的维护困难。
发明内容
本申请的目的在于，针对上述现有技术中的不足，提供一种驱动组件管理系统、故障检测方法及电助力自行车，以解决现有技术中，电助力自行车的驱动组件不够智能，驱动组件故障检测困难等问题。
为实现上述目的，本申请实施例采用的技术方案如下：
第一方面，本申请实施例提供一种驱动组件管理系统，该驱动组件管理系统，包括：物联网设备、多个数字化组件以及总线；每个数字化组件包括：电助力自行车的驱动系统中的一个驱动组件，以及与所述驱动组件连接的数字化电路，所述数字化电路包括：组件信号处理电路、第一处理器及第一存储器，所述组件信号处理电路的输入端连接所述驱动组件的信号采集端，以对所述驱动组件在工作过程中的驱动信号进行处理，得到所述数字化组件的工作状态数据，所述第一处理器还连接所述组件信号处理电路，以获取所述数字化组件的工作状态数据；所述第一存储器连接所述第一处理器，以存储所述工作状态数据 以及所述数字化组件的标识信息；
所述物联网设备通过所述总线与所述多个数字化组件中的第一处理器通信连接，以根据所述多个数字化组件的工作状态数据以及所述多个数字化组件的标识信息进行故障检测。
可选地，所述多个数字化组件包括：电机数字化组件，所述电机数字化组件中的驱动组件为电机；所述驱动组件管理系统还包括：控制器，所述控制器包括：电机驱动电路和第二处理器；所述第二处理器挂接在所述总线上，以使得所述第二处理器获取所述多个数字化组件的工作状态数据；
所述第二处理器还连接所述电机驱动电路，以使得所述第二处理器基于所述多个数字化组件的工作状态数据，输出脉冲控制信号至所述电机驱动电路；
所述电机驱动电路连接所述电机的三相输入端，以使得所述电机驱动电路输出的三相控制信号，驱动所述电机输出助力。
可选地，所述控制器中还包括：第二存储器，所述第二存储器与所述第二处理器连接，以存储所述控制器的标识信息，以及所述控制器的工作状态数据。
可选地，所述物联网设备通信连接云服务器，以使得所述云服务器基于所述多个数字化组件的工作状态数据对所述电助力自行车进行故障检测。
可选地，所述驱动组件管理系统还包括：故障检测装置，所述故障检测装置挂载在所述总线上，以基于所述多个数字化组件的工作状态数据对所述电助力自行车进行故障检测。
可选地，所述多个数字化组件还包括：电池管理数字化组件、仪表数字化组件、传感器数字化组件中的至少一项数字化组件。
第二方面，本申请实施例提供一种驱动组件的故障检测方法，该方法应用于上述第一方面中任一所述的驱动组件管理系统，该方法包括：
通过所述物联网设备获取多个数字化组件的工作状态数据以及多个数字化组件的标识信息；
根据所述多个数字化组件的工作状态数据以及所述多个数字化组件的标识信息进行故障检测。
可选地，所述根据所述多个数字化组件的工作状态数据以及所述多个数字化组件的标识信息进行故障检测，包括：
通过所述物联网设备将所述多个数字化组件的工作状态数据以及所述多个数字化组件的标识信息传输至云服务器，使得所述云服务器根据所述多个数字化组件的工作状态数据以及所述多个数字化组件的标识信息进行故障检测；或者，
所述物联网设备根据所述多个数字化组件的工作状态数据以及所述多个数字化组件的 标识信息进行故障检测；或者，
通过所述物联网设备将多个数字化组件的工作状态数据以及多个数字化组件的标识信息传输至与所述物联网设备总线连接的故障检测装置；
通过所述故障检测装置根据所述多个数字化组件的工作状态数据以及所述多个数字化组件的标识信息进行故障检测。
可选地，该方法还包括：
若故障检测结果指示所述多个数字化组件中存在至少一个数字化组件发生故障，则根据发生故障的所述至少一个数字化组件的标识信息生成替换所述至少一个数字化组件的需要订单信息。
第三方面，本申请实施例提供一种电助力自行车，该电助力自行车包括：电助力自行车框架以及搭载在所述电助力自行车框架上的上述第一方面中任一所述的驱动组件管理系统。
相对于现有技术而言，本申请具有以下有益效果：
本申请实施例提供一种驱动组件管理系统、故障检测方法及电助力自行车，由于驱动组件管理系统中包括有：物联网设备、多个数字化组件以及总线，每个数字化组件包括：一个驱动组件以及与驱动组件连接的数字化电路，数字化电路包括组件信号处理电路、第一处理器及第一存储器，组件信号处理电路的输入端连接驱动组件的信号采集端，以实现驱动组件的工作状态数据的采集，第一处理器还连接组件信号处理电路，第一存储器连接第一处理器，以实现了工作状态数据以及数字化组件的标识信息的存储；物联网设备通过总线与多个数字化组件中的第一处理器通信连接，从而可根据多个数字化组件的工作状态数据以及多个数字化组件的标识信息进行故障检测。本申请实施例提供的方案中，由于电助力自行车的驱动组件管理系统中包含有物联网设备，且，物联网设备通过总线连接的每个数字化组件中除了传统的驱动组件之外，还包含有组件信号处理电路、相应的处理器以及相应的存储器，实现了数字化组件对驱动组件的工作状态数据的采集以及工作状态数据与标识信息的存储，实现了数字化组件的智能化，从而使得，在对驱动组件进行检测维护时，无需进行拆解，也无需进行人为判断，即可基于工作状态数据以及标识信息进行自动的故障检测，有效方便了电助力自行车的驱动系统的维护。
附图说明
为了更清楚地说明本申请实施例的技术方案，下面将对实施例中所需要使用的附图作简单地介绍，应当理解，以下附图仅示出了本申请的某些实施例，因此不应被看作是对范围的限定，对于本领域普通技术人员来讲，在不付出创造性劳动的前提下，还可以根据这些附图获得其他相关的附图。
图1为本申请实施例提供的一种驱动组件管理系统的结构示意图；
图2为本申请实施例提供的另一种驱动组件管理系统的结构示意图；
图3为本申请实施例提供的另一种驱动组件管理系统的结构示意图；
图4为本申请实施例提供的另一种驱动组件管理系统的结构示意图；
图5为本申请实施例提供的另一种驱动组件管理系统的结构示意图；
图6为本申请实施例提供的一种驱动组件的故障检测方法流程示意图；
图7为本申请实施例提供的一种电助力自行车的结构示意图。
图标：100-物联网设备；200-数字化组件；201-驱动组件；202-数字化电路；203-组件信号处理电路；204-第一处理器；205-第一存储器；300-总线；400-控制器；401-电机驱动电路；402-第二处理器；403-第二存储器；500-云服务器；600-客户端；700-故障检测装置；800-电助力自行车；801-驱动组件管理系统；802-电助力自行车框架。
具体实施方式
为使本申请实施例的目的、技术方案和优点更加清楚，下面将结合本申请实施例中的附图，对本申请实施例中的技术方案进行清楚、完整地描述，显然，所描述的实施例是本申请一部分实施例，而不是全部的实施例。通常在此处附图中描述和示出的本申请实施例的组件可以以各种不同的配置来布置和设计。
因此，以下对在附图中提供的本申请的实施例的详细描述并非旨在限制要求保护的本申请的范围，而是仅仅表示本申请的选定实施例。基于本申请中的实施例，本领域普通技术人员在没有作出创造性劳动前提下所获得的所有其它实施例，都属于本申请保护的范围。
应注意到：相似的标号和字母在下面的附图中表示类似项，因此，一旦某一项在一个附图中被定义，则在随后的附图中不需要对其进行进一步定义和解释。
此外，若出现术语“第一”、“第二”等仅用于区分描述，而不能理解为指示或暗示相对重要性。
需要说明的是，在不冲突的情况下，本申请的实施例中的特征可以相互结合。
在电助力自行车的使用过程中，电助力自行车的驱动系统中的驱动组件可能会发生故障，从而使得电助力自行车无法准确为用户提供助力，但由于传统的电助力自行车的驱动系统中的各驱动组件仅仅具有相应的基本功能，不具有数据采集以及存储的功能，其不够智能，从而使得用户无法知晓是哪个驱动组件发升生故障，更无法知晓存在故障的驱动组件的相关信息，这给后续的维修更换服务造成了困难。
为方便电助力自行车的维护，本申请提供了一种相对于传统电助力自行车的驱动系统更智能的数字化驱动组件管理系统，如下结合多个实施例对本申请实施例提供的电助力自行车的驱动组件管理系统，也即，数字化驱动组件管理系统进行详细地解释说明。
图1为本申请实施例提供的一种驱动组件管理系统的结构示意图。如图1所示，该驱动组件管理系统包括：物联网设备100、多个数字化组件200以及总线300，物联网设备100通过总线300与多个数字化组件200通信连接。
其中，每个数字化组件200包括：电助力自行车的驱动系统中的一个驱动组件201，以及与驱动组件201连接的数字化电路202。数字化电路202包括：组件信号处理电路203、第一处理器204及第一存储器205。该第一处理器204例如可以为MCU(MicrocontrollerUnit)。
组件信号处理电路203的输入端连接驱动组件201的信号采集端，以对驱动组件201在工作过程中的驱动信号进行处理，得到数字化组件200的工作状态数据。组件信号处理电路203例如可通过驱动信号进行限流和去噪处理，得到数字化组件200的工作状态数据。第一处理器204还连接组件信号处理电路203，以获取数字化组件200的工作状态数据。组件信号处理电路203可连接第一处理器204的AD端(输入模拟量的端口)。第一存储器205连接第一处理器204，以存储工作状态数据以及数字化组件200的标识信息。其中，工作状态数据可以为第一处理器204获取到的之后，便存储在第一存储器205中，而数字化组件200的标识信息是在出厂前预先存储在该第一存储器205中的。示例地，数字化组件200的标识信息可以为数字化组件200中驱动组件201的序列号，驱动组件201的序列号可唯一该驱动组件201的身份，以区分不同的驱动组件201。该驱动组件201的序列号可包括生产厂商、产品型号、批次、日期、编号等至少一种信息，组件序列号可以按同一厂商、同一产品型号进行统一设置；组件序列号也可以按照厂商、产品型号、批次、日期、唯一编号等进行唯一设置。
物联网设备100通过总线300与多个数字化组件200中的第一处理器204通信连接，即，物联网设备100和多个数字化组件200均连接在总线300上。示例的，物联网设备100、各个数字化组件200中的数字化电路202中均包含有总线接口，该物联网设备100通过自己的总线接口连接在总线上，各个数字化组件200通过对应数字化电路202中的总线接口连接在总线上。数字化电路202的总线接口与数字化电路202中的第一处理器204连接。该总线接口为总线300相匹配的接口，若总线300为CAN(ControllerAreaNetwork)总线，则总线接口为CAN总线接口。
示例地，物联网设备100可以设置于电助力自行车的车头处(位于电助力自行车两个手把中间)；物联网设备100也可以作为一个独立的设备，不固安装在于电助力自行车内部，而是在需要进行驱动组件管理时，通过总线300预留接口连接驱动系统，例如，需要进行故障检测时，物联网设备100通过电助力自行车预留的总线300插口连接驱动系统；物联网设备100也可以不作为一个独立的设备，而是将物联网设备100的功能集成于电助力自 行车的控制设备中，实现物联网设备100相应的连接关系。
数字化组件200中数字化电路202中的第一处理器204在得到工作状态数据的情况下，可将该工作状态数据封装成总线协议的数据包并通过相应的总线接口传输至总线300上。若总线300为CAN总线，总线协议则可以为CAN总线协议。
物联网设备100可获取由多个数字化组件200中的第一处理器204传输的各数字化组件200的工作状态数据以及各数字化组件200的标识信息。物联网设备100在获取到多个数字化组件200的工作状态数据以及多个数字化组件200的标识信息之后，可由自身进行故障检测，也可发送至其他设备，由其他设备进行故障检测。
如下对于CAN协议进行示例解释：CAN协议支持广播通讯和点对点通讯。点对点报文属于过程通信报文，任意节点都可以互相发送，目前CAN协议支持16个节点。在CAN通信协议中，可采用的数据帧结构可以为如下表1所示：
表1
Figure PCTCN2022120344-appb-000001
其中起始段、CRC段、ACK段和结束段可由物联网设备和数字化组件中的处理器的硬件自动生成,软件可以配置仲裁段、控制段和数据段的内容。起始段也可称为帧开始(SOF)域，以表示数据帧的开始。仲裁段中携带有标识(ID)，总线上不可能有多个设备在同一时刻使用同一个ID传输数据帧。在仲裁段通过添源节点ID，目标节点ID，命令、优先级，数据类型等信息，用于区分不同传输数据帧。
控制段，可用于表示保留位和数据字节数，其占有6个比特位(bit)，指示要传输信息的数据字节数。数据段中携带数据内容，0-8个字节的数据能被发送，即一帧传输的数据量为0-8个字节，长度超过8BYTE，需要多包发送。CRC段可用于检查帧的传输错误。ACK段用于对帧已经被正常接收的一个证实。结束段可用于指示数据帧结束。
在一种可能的应用场景中，物联网设备100可通过广播方式，获取工作状态数据以及标识信息。例如，物联网设备100可通过总线300向各数字化组件200广播发送数据采集消息，各数字化组件200在接收到该广播的数据采集消息后，可在空闲时段将各数字化组件200的工作状态数据以及标识信息传输至物联网设备100。
在另一种可能的应用场景中，物联网设备100可通过点对点方式，获取工作状态数据以及标识信息。例如，物联网设备100也可通过总线300向数字化组件200点对点发送数据采集消息，该数字化组件200在接收到该数据采集消息后，在空闲时段将该数字化组件200的工作状态数据以及标识信息传输至物联网设备100。
如上所示的物联网设备100中也可包括有处理器以及相应的存储器，该物联网设备100 中的存储器可存储物联网设备100获取到多个数字化组件200的工作状态数据以及多个数字化组件200的标识信息的情况下，对多个数字化组件200的工作状态数据以及多个数字化组件200的标识信息进行存储。除此之外，该物联网设备100中的存储器还可存储有该物联网设备100的标识信息，以及相应的工作状态数据。示例的，物联网设备100中的处理器例如也可以为MCU。该物联网设备100中的处理器还可连接有网络通信接口，该物联网设备100可通过该网络通信接口与外部的其他设备通信连接。外部的其他设备例如可以为云服务器，或者与物联网设备100连接的智能终端连接。
综上，本申请提供的驱动组件管理系统，由于电助力自行车的驱动组件管理系统中包含有物联网设备，且，物联网设备通过总线连接的每个数字化组件中除了传统的驱动组件之外，还包含有组件信号处理电路、相应的处理器以及相应的存储器，实现了数字化组件对驱动组件的工作状态数据的采集以及工作状态数据与标识信息的存储，实现了数字化组件的智能化，从而使得，在对驱动组件进行检测维护时，无需进行拆解，也无需进行人为判断，即可基于工作状态数据以及标识信息进行自动的故障检测，有效方便了电助力自行车的驱动系统的维护，为用户提供了更加便捷的售后服务。
在图1的基础上，本申请实施例还提供了另一种驱动组件管理系统，图2为本申请实施例提供的另一种驱动组件管理系统的结构示意图。如图2所示，多个数字化组件200中包括：电机数字化组件。
其中，电机数字化组件中的驱动组件201为电机，为实现对电机的驱动控制，驱动组件管理系统中还包括：控制器400，其中，控制器400包括：电机驱动电路401和第二处理器402；第二处理器402挂接在总线300上，以使得第二处理器402获取多个数字化组件200的工作状态数据；第二处理器402还连接电机驱动电路401，以使得第二处理器402基于多个数字化组件200的工作状态数据，输出脉冲控制信号至电机驱动电路；电机驱动电路连接电机的三相输入端，以使得电机驱动电路输出的三相控制信号，驱动电机输出助力。也就是说，控制器400可通过控制器中的电机驱动电路401和电机进行配合，以驱动电机转动。控制器400作为数据信息处理单元和驱动指令执行单元，是整个驱动系统的核心，可通过控制驱动电机转动，从而提供助力。示例的，该电机例如可以为轮毂电机，轮毂电机是安装在自行车的轮毂中，控制器400可通过控制器中的电机驱动电路401对轮毂电机进行控制，直接驱动车轮转动。该电机还可以为中置电机，中置电机是安装在电助力自行车车身的中间位置(即脚踏位置)的电机，通过链条与车轮连接，控制器400可通过控制器中的电机驱动电路401对中置电机进行控制，驱动车轮转动。如上示例中，控制器400中的第二处理器402可以为MCU。
对于电机数字化组件，其对应的工作状态数据为：电机工作时产生霍尔位置信号、温 度信号、转速信号等至少一种工作状态数据。该工作状态数据可用于确定电机数字化组件中的电机是否存在故障，可如下表2所示，该工作状态数据中的温度信号变幅可用于确定电机温度传感器是否故障(例如，电机转动时，输出的温度信号无变化，或输出的温度信号升高过快)、该工作状态数据中的温度信号可用于确定电机的温度是否达到保护点、该工作状态数据中的霍尔位置信号可用于确定电机是否存在霍尔故障。
表2
Figure PCTCN2022120344-appb-000002
继续参考图2，控制器400中还包括：第二存储器403，第二存储器403与第二处理器402连接，以存储控制器400的标识信息，以及控制器400的工作状态数据。示例地，控制器400的标识信息可以为控制器400的组件序列号，用以唯一识别控制器400的身份。控制器400的工作状态数据可以包括：三相桥臂驱动信号(U、V、W)、电压信号、电流信号、温度信号等至少一种工作状态数据。当工作状态数据超过正常范围，可判定控制器400故障或异常，可如下表3所示，该工作状态数据中的温度信号可用于确定控制器400的温度是否已达到保护点，该工作状态数据中的温度信号变幅可用于确定控制器400温度传感器故障，该工作状态数据中的电压信号可用于确定控制器400中的电压是否过压、欠压，进而进行过电压保护或低电压保护，该工作状态数据中的电流信号可用于确定控制器400中的电流是否过流，该工作状态数据中的电流信号变幅可用于确定控制器400中的电流传感器故障(例如，控制器400运行时，输出的电流信号过大)。
表3
Figure PCTCN2022120344-appb-000003
由于控制器400通过第二处理器402挂接在总线300上，控制器400也通过总线300与物联网设备100通讯连接。物联网设备100通过总线300获取控制器400的标识信息以及控制器400的工作状态数据，以根据控制器400的标识信息以及控制器400的工作状态数据对控制器400进行故障检测。
综上，本申请提供的另一种驱动组件管理系统，通过控制器与多个数字化组件中的电机数字化组件连接，采用物联设备获取控制器和电机数字化组的工作状态数据及标识信息，进而可对控制器和电机数字化组进行故障检测。
在图1的基础上，本申请实施例还提供了另一种驱动组件管理系统，图3为本申请实施例提供的另一种驱动组件管理系统的结构示意图。如图3所示，多个数字化组件200还包括：电池管理数字化组件、仪表数字化组件、传感器数字化组件中的至少一项数字化组件。
电池管理数字化组件包括：电池以及该电池的电源管理系统BMS，在其它示例中，该电池管理数字化组件还可连接充电器。电池作为驱动组件管理系统的供能单元，电池管理系统是电池的保护板以及通信管理模块，电池通过电池管理系统与各功能单元通信。示例地，电池管理数字化组件的标识信息可以为电池管理数字化组件的组件序列号，用以唯一识别电池管理数字化组件的身份；电池管理数字化组件的工作状态数据可以包括电流信号、电压信号、温度信号等等至少一种工作状态数据。当电流值和/或温度值等参数超过对应的预设正常范围，可判定电池管理数字化组件存在故障，如下表4所示，该工作状态数据中的温度信号可用于确定电池温度是否过高/过低，该工作状态数据中的电压信号可用于确定总电压是否过高/过低、单体电压是否过高、SOC是否过高/过低，该工作状态数据中的电 流信号可用于确定总电流是否过大。
仪表数字化组件是信息显示和设置的人机界面，用户可以在仪表端查看整车各种信息，也可以对仪表显示的功能进行设置；仪表包括显示板(人机界面)和按键。示例地，仪表数字化组件的标识信息可以为仪表数字化组件的组件序列号，用以唯一识别仪表数字化组件；如下表4所示，仪表数字化组件的工作状态数据可以为通讯数据，当通讯数据异常，可判定仪表数字化组件故障或异常。
传感器数字化组件即数字化传感器，是动作采集单元，将人的骑行动作转化为脉冲信号通过总线发送给控制器。其中传感器数字化组件包括：踏频传感器数字化组件、力矩传感器数字化组件，可以将骑行者的踩踏动作转化为电信号通过总线发送给控制器，对控制器驱动电机转动起到重要的辅助作用，骑行者可获得更加自然流畅的骑行体验。示例地，传感器数字化组件的标识信息可以为传感器数字化组件的组件序列号，用以唯一识别传感器数字化组件的身份。传感器数字化组件的工作状态数据可以为踏频信号、力矩信号等至少一种工作状态数据，当工作状态数据超出正常范围，可判定传感器数字化组件故障或异常，如下表4所示，该工作状态数据中的踏频信号可用于确定传感器是否存在力矩传感器踏频信号故障，该工作状态数据中的力矩信号可用于确定传感器是否存在力矩传感器力矩信号故障，该工作状态数据中的踏频信号变幅和力矩信号变幅可用于确定是否存在测速传感器故障。
表4
Figure PCTCN2022120344-appb-000004
综上，本申请提供的另一种驱动组件管理系统，通过获取电机数字化组件、电池管理数字化组件、仪表数字化组件、传感器数字化组件以及控制器对应的工作状态数据和标识信息，从而精准地对电助力自行车的驱动组件进行故障检测。
在图1的基础上，本申请实施例还提供了另一种驱动组件管理系统，图4为本申请实施例提供的另一种驱动组件管理系统的结构示意图。如图4所示，物联网设备100还通信连接云服务器500，以使得云服务器500基于多个数字化组件200的工作状态数据对电助力自行车进行故障检测。
云服务器500可以预先存储电助力自行车驱动系统的数字化组件200相关信息，比如各个数字化组件200的标识信息，各地和/或各经销商的驱动组件库存，数字化组件200对应的正常工作状态的数据参数、故障参数及维修替换的相关规定等。
物联网设备100通过网络通信将数字化组件200的工作状态数据以及标识信息传输至云服务器500。云服务器500可根据数字化组件200的标识信息进行分类存储，并对数字化组件200的工作状态数据进行分析，根据正常工作状态参数、故障参数分析确定驱动组件201状态(正常或故障)。当确定某个驱动组件201存在故障时，获取该驱动组件201对应的标识信息，并根据该驱动组件201对应的标识信息生成驱动组件201替换的需求订单，其中，需求订单包括故障驱动组件201的标识信息、用于替代的新的驱动组件201的标识信息、可替换地点(如维修点)等信息。
继续参考图4，云服务器500还通信连接客户端600，客户端600的用户可以为驱动组件201的生产厂家、整车生产厂家、经销商户、终端用户等，不同用户的权限设置不同。当云服务器500确定某驱动组件201存在故障并生成需求订单后，云服务器500可将需求订单推送给对应的客户端600。其中，云服务器500可获得物联网设备100的MAC(MediaAccessControl)地址，再通过预先设置的物联网设备100的MAC地址与客户端600之间的对应关系，进而获得对应的客户端600。
综上，本申请提供的另一种驱动组件管理系统，通过将数字化组件对应的工作状态数据和标识信息传输至云服务器，使得云服务器基于多个数字化组件的工作状态数据对电助力自行车进行故障检测。从而可准确地获知故障驱动组件，并将对应的需求订单及时发送至用户。
在图1的基础上，本申请实施例还提供了另一种驱动组件管理系统，图5为本申请实施例提供的另一种驱动组件管理系统的连接示意图。如图5所示，驱动组件管理系统还包括：故障检测装置700。
故障检测装置700挂载在总线300上，以基于多个数字化组件200的工作状态数据对电助力自行车进行故障检测。由于云服务器500是在获取数字化组件200的工作状态数据以及标识信息后，再对工作状态数据进行分析，判断故障的驱动组件201，而电助力自行车的驱动组件管理系统并不是实时地连接云服务器500，因此，可能会造成故障检测延时。进而通过物联网设备100将多个数字化组件200的工作状态数据以及多个数字化组件200的标识信息传输至故障检测装置700，可通过故障检测装置700完成对数字化组件200的检测工作，将检测结果通过物联网设备100传输至云服务器500。
在另一种示例中，故障检测装置700可集成在物联网设备100中，通过物联网设备100中的故障检测装置700完成对数字化组件200的检测工作，物联网设备100将检测结果传输至云服务器500。
综上，本申请提供的另一种驱动组件管理系统，通过故障检测设备完成对数字化组件的检测工作，再将将检测结果传输至云服务器。从而，在电助力自行车的驱动组件管理系统未连接云服务器时，实现本地化的故障检测，再将故障结果上传至服务端，减少了通讯数据的发送，以及对通讯网路的依赖。
本申请实施例还可提供一种基于上述驱动组件管理系统的驱动组件的故障检测方法。如下结合附图对电助力自行车的故障检测方法具体实现过程进行示例说明。图6为本申请实施例提供的一种驱动组件的故障检测方法流程示意图。如图6所示，该方法包括:
S101、通过物联网设备获取多个数字化组件的工作状态数据以及多个数字化组件的标识信息。
数字化组件在接收到物联网设备发送的数据采集消息之后，将自身的工作状态数据以及自身的标识信息通过总线传输至物联网设备，物联网设备获取到多个数字化组件的工作状态数据以及多个数字化组件的标识信息后，并将多个数字化组件的工作状态数据以及多个数字化组件的标识信息传输至云服务器。
S102、根据多个数字化组件的工作状态数据以及多个数字化组件的标识信息进行故障检测。
将数字化组件的实时工作状态数据与数字化组件的正常工作状态数据范围进行比对，若数字化组件的实时工作状态数据不在正常工作状态数据范围之内，则判定该数字化组件故障或异常。而通过数字化组件的标识信息可确定该数字化组件的型号，由此可确定故障驱动组件的型号，以便于对故障驱动组件进行更换。
综上，本申请提供的一种驱动组件的故障检测方法，通过物联网设备获取到的多个数字化组件的工作状态数据以及多个数字化组件的标识信息，进行故障检测。从而，在对驱动组件进行检测维护时，无需进行拆解，也无需进行人为判断，即可基于工作状态数据以及标识信息进行自动的故障检测，有效方便了电助力自行车的驱动系统的维护，为用户提供了更加便捷的售后服务。
在上述图6所示的驱动组件的故障检测方法的基础上，本申请实施例还提供了一种驱动组件的故障检测方法。在S102中根据多个数字化组件的工作状态数据以及多个数字化组件的标识信息进行故障检测之后，该方法包括：
若故障检测结果指示多个数字化组件中存在至少一个数字化组件发生故障，则根据发生故障的至少一个数字化组件的标识信息生成替换至少一个数字化组件的需要订单信息。
其中，需求订单信息包括故障驱动组件的标识信息、用于替代的新的驱动组件的标识信息、可替换地点(如维修点)等信息。当确定某数字化组件存在故障并生成需求订单后，可将需求订单可以推送给相应的客户端。
综上，本申请提供的一种驱动组件的故障检测方法，通过根据发生故障的数字化组件的标识信息生成替换该数字化组件的需要订单信息。从而，可使得用户更加便捷地获知驱动组件故障及更换信息，为用户提供了更便捷的售后服务。
在上述图6所示的驱动组件的故障检测方法的基础上，本申请实施例还提供了一种上述驱动组件的故障检测方法中故障检测的具体实现方法。
在一种实施例中，物联网设备将多个数字化组件的工作状态数据以及多个数字化组件的标识信息传输至云服务器。云服务器将数字化组件的实时工作状态数据与数字化组件的正常工作状态数据范围进行比对，若数字化组件的实时工作状态数据不在正常工作状态数据范围之内，则判定该数字化组件故障。
在另一种实施例中，物联网设备可直接根据多个数字化组件的工作状态数据以及多个数字化组件的标识信息进行故障检测。具体地，物联网设备内集成有故障检测模块，故障检测模块在获取到多个数字化组件的实时工作状态数据与多个数字化组件的标识信息，将多个数字化组件的实时工作状态数据与多个数字化组件的正常工作状态数据范围进行比对，若数字化组件的实时工作状态数据不在正常工作状态数据范围之内，则判定该数字化组件故障。物联网设备将检测结果传输至云服务器。
在另一种实施例中，通过物联网设备将多个数字化组件的工作状态数据以及多个数字化组件的标识信息传输至与物联网设备总线连接的故障检测装置。故障检测装置将多个数字化组件的实时工作状态数据与多个数字化组件的正常工作状态数据范围进行比对，若数字化组件的实时工作状态数据不在正常工作状态数据范围之内，则判定该数字化组件故障，并将检测结果通过物联网设备传输至云服务器。
综上，本申请提供的一种上述驱动组件的故障检测方法中故障检测的具体实现方法，通过云服务器、物联网设备、故障检测装置分别进行故障检测。从而，通过线上服务器和本地化结合，可全时段完成数字化组件的故障检测，减少了通讯数据的发送，以及对通讯网路的依赖。
本申请实施例还可提供一种基于上述驱动组件管理系统的电助力自行车。图7为本申请实施例提供的一种电助力自行车的结构示意图。如图7所示，该电助力自行车800包括：电助力自行车框架802以及搭载在电助力自行车框架802上的上述驱动组件管理系统801。
综上，本申请提供的一种电助力自行车，通过搭载在电助力自行车框架上的驱动组件管理系统，从而使得，在对电助力自行车中的驱动组件进行检测维护时，无需进行拆解，也无需进行人为判断，即可基于工作状态数据以及标识信息进行自动的故障检测，有效方便了电助力自行车的驱动系统的维护，为用户提供了更加便捷的售后服务。
在本申请所提供的几个实施例中，应该理解到，所揭露的装置和方法，可以通过其它的方式实现。例如，以上所描述的装置实施例仅仅是示意性的，例如，所述单元的划分，仅仅为一种逻辑功能划分，实际实现时可以有另外的划分方式，例如多个单元或组件可以结合或者可以集成到另一个系统，或一些特征可以忽略，或不执行。另一点，所显示或讨论的相互之间的耦合或直接耦合或通信连接可以是通过一些接口，装置或单元的间接耦合或通信连接，可以是电性，机械或其它的形式。
所述作为分离部件说明的单元可以是或者也可以不是物理上分开的，作为单元显示的部件可以是或者也可以不是物理单元，即可以位于一个地方，或者也可以分布到多个网络单元上。可以根据实际的需要选择其中的部分或者全部单元来实现本实施例方案的目的。
另外，在本申请各个实施例中的各功能单元可以集成在一个处理单元中，也可以是各 个单元单独物理存在，也可以两个或两个以上单元集成在一个单元中。上述集成的单元既可以采用硬件的形式实现，也可以采用硬件加软件功能单元的形式实现。
上述以软件功能单元的形式实现的集成的单元，可以存储在一个计算机可读取存储介质中。上述软件功能单元存储在一个存储介质中，包括若干指令用以使得一台计算机设备(可以是个人计算机，服务器，或者网络设备等)或处理器(英文：processor)执行本申请各个实施例所述方法的部分步骤。而前述的存储介质包括：U盘、移动硬盘、只读存储器(英文：Read-OnlyMemory，简称：ROM)、随机存取存储器(英文：RandomAccessMemory，简称：RAM)、磁碟或者光盘等各种可以存储程序代码的介质。
上仅为本申请的具体实施方式，但本申请的保护范围并不局限于此，任何熟悉本技术领域的技术人员在本申请揭露的技术范围内，可轻易想到变化或替换，都应涵盖在本申请的保护范围之内。因此，本申请的保护范围应以权利要求的保护范围为准。

Claims (10)

  1. 一种驱动组件管理系统，其特征在于，所述驱动组件管理系统，包括：物联网设备、多个数字化组件以及总线；每个数字化组件包括：电助力自行车的驱动系统中的一个驱动组件，以及与所述驱动组件连接的数字化电路，所述数字化电路包括：组件信号处理电路、第一处理器及第一存储器，所述组件信号处理电路的输入端连接所述驱动组件的信号采集端，以对所述驱动组件在工作过程中的驱动信号进行处理，得到所述数字化组件的工作状态数据，所述第一处理器还连接所述组件信号处理电路，以获取所述数字化组件的工作状态数据；所述第一存储器连接所述第一处理器，以存储所述工作状态数据以及所述数字化组件的标识信息；
    所述物联网设备通过所述总线与所述多个数字化组件中的第一处理器通信连接，以根据所述多个数字化组件的工作状态数据以及所述多个数字化组件的标识信息进行故障检测。
  2. 根据权利要求1所述的驱动组件管理系统，其特征在于，所述多个数字化组件包括：电机数字化组件，所述电机数字化组件中的驱动组件为电机；所述驱动组件管理系统还包括：控制器，所述控制器包括：电机驱动电路和第二处理器；所述第二处理器挂接在所述总线上，以使得所述第二处理器获取所述多个数字化组件的工作状态数据；
    所述第二处理器还连接所述电机驱动电路，以使得所述第二处理器基于所述多个数字化组件的工作状态数据，输出脉冲控制信号至所述电机驱动电路；
    所述电机驱动电路连接所述电机的三相输入端，以使得所述电机驱动电路输出的三相控制信号，驱动所述电机输出助力。
  3. 根据权利要求2所述的驱动组件管理系统，其特征在于，所述控制器中还包括：第二存储器，所述第二存储器与所述第二处理器连接，以存储所述控制器的标识信息，以及所述控制器的工作状态数据。
  4. 根据权利要求1所述的驱动组件管理系统，其特征在于，所述物联网设备通信连接云服务器，以使得所述云服务器基于所述多个数字化组件的工作状态数据对所述电助力自行车进行故障检测。
  5. 根据权利要求1所述的驱动组件管理系统，其特征在于，所述驱动组件管理系统还包括：故障检测装置，所述故障检测装置挂载在所述总线上，以基于所述多个数字化组件的工作状态数据对所述电助力自行车进行故障检测。
  6. 根据权利要求2所述的驱动组件管理系统，其特征在于，所述多个数字化组件还包括：电池管理数字化组件、仪表数字化组件、传感器数字化组件中的至少一项数字化组件。
  7. 一种驱动组件的故障检测方法，其特征在于，应用于上述权利要求1-6中任一所述的驱动组件管理系统，所述方法包括：
    通过所述物联网设备获取多个数字化组件的工作状态数据以及多个数字化组件的标识信息；
    根据所述多个数字化组件的工作状态数据以及所述多个数字化组件的标识信息进行故障检测。
  8. 根据权利要求7所述的方法，其特征在于，所述根据所述多个数字化组件的工作状态数据以及所述多个数字化组件的标识信息进行故障检测，包括：
    通过所述物联网设备将所述多个数字化组件的工作状态数据以及所述多个数字化组件的标识信息传输至云服务器，使得所述云服务器根据所述多个数字化组件的工作状态数据以及所述多个数字化组件的标识信息进行故障检测；或者，
    所述物联网设备根据所述多个数字化组件的工作状态数据以及所述多个数字化组件的标识信息进行故障检测；或者，
    通过所述物联网设备将多个数字化组件的工作状态数据以及多个数字化组件的标识信息传输至与所述物联网设备总线连接的故障检测装置；
    通过所述故障检测装置根据所述多个数字化组件的工作状态数据以及所述多个数字化组件的标识信息进行故障检测。
  9. 根据权利要求7所述的方法，其特征在于，所述方法还包括：
    若故障检测结果指示所述多个数字化组件中存在至少一个数字化组件发生故障，则根据发生故障的所述至少一个数字化组件的标识信息生成替换所述至少一个数字化组件的需要订单信息。
  10. 一种电助力自行车，其特征在于，包括：电助力自行车框架以及搭载在所述电助力自行车框架上的上述权利要求1-6中任一所述的驱动组件管理系统。
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