CN109448157B - Method, system, server and storage medium for determining fault of electric vehicle - Google Patents

Method, system, server and storage medium for determining fault of electric vehicle Download PDF

Info

Publication number
CN109448157B
CN109448157B CN201811290619.5A CN201811290619A CN109448157B CN 109448157 B CN109448157 B CN 109448157B CN 201811290619 A CN201811290619 A CN 201811290619A CN 109448157 B CN109448157 B CN 109448157B
Authority
CN
China
Prior art keywords
electric vehicle
server
battery
fault
report information
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN201811290619.5A
Other languages
Chinese (zh)
Other versions
CN109448157A (en
Inventor
肖晖
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Hanhai Information Technology Shanghai Co Ltd
Original Assignee
Hanhai Information Technology Shanghai Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Hanhai Information Technology Shanghai Co Ltd filed Critical Hanhai Information Technology Shanghai Co Ltd
Priority to CN201811290619.5A priority Critical patent/CN109448157B/en
Publication of CN109448157A publication Critical patent/CN109448157A/en
Application granted granted Critical
Publication of CN109448157B publication Critical patent/CN109448157B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G07CHECKING-DEVICES
    • G07CTIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
    • G07C5/00Registering or indicating the working of vehicles
    • G07C5/006Indicating maintenance
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0639Performance analysis of employees; Performance analysis of enterprise or organisation operations
    • GPHYSICS
    • G07CHECKING-DEVICES
    • G07CTIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
    • G07C5/00Registering or indicating the working of vehicles
    • G07C5/008Registering or indicating the working of vehicles communicating information to a remotely located station

Landscapes

  • Business, Economics & Management (AREA)
  • Human Resources & Organizations (AREA)
  • General Physics & Mathematics (AREA)
  • Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Strategic Management (AREA)
  • Economics (AREA)
  • Development Economics (AREA)
  • Educational Administration (AREA)
  • Operations Research (AREA)
  • Marketing (AREA)
  • Game Theory and Decision Science (AREA)
  • Quality & Reliability (AREA)
  • Tourism & Hospitality (AREA)
  • General Business, Economics & Management (AREA)
  • Theoretical Computer Science (AREA)
  • Electric Propulsion And Braking For Vehicles (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The invention relates to a method, a system, a server and a computer storage medium for determining faults of an electric vehicle. The method for determining the fault of the electric vehicle comprises the following steps: when state report information from the electric vehicle is not received at preset time intervals, calculating a time difference value between a current time point and a time point of battery replacement of the electric vehicle; judging whether the time difference value is larger than a preset battery electric quantity service time threshold value of the electric vehicle; and marking the fault type of the electric vehicle according to the judging result. According to the invention, through the fault classification marking of the electric vehicle, operators can provide targeted operation and maintenance service according to different fault types, so that the operation labor cost can be saved, and the quality and efficiency of the operation and maintenance service can be improved.

Description

Method, system, server and storage medium for determining fault of electric vehicle
Technical Field
The present invention relates to the technical field of electric vehicles, and in particular, to a method, a system, a server, and a computer storage medium for determining a fault of an electric vehicle.
Background
The shared electric vehicle is increasingly widely applied to daily life of people due to the characteristics of convenient use and environmental protection.
In the operation process of the shared electric vehicle, in order to enable the server to monitor the state of the electric vehicle better, such as the position of the electric vehicle, the battery power and the like, a GPS reporting module is usually arranged on the electric vehicle. The GPS reporting module sends a status report message to the server according to a preset time interval, and the server judges whether the state of the electric vehicle is abnormal according to the frequency of the received status report message.
However, the frequency at which the GPS reporting module on the electric vehicle sends the status report message to the server may be affected by different factors, for example, failure of the GPS reporting module, low battery power of the electric vehicle, and the like. The server can not judge the specific reason of the electric vehicle fault, so that operators can not provide targeted operation and maintenance services.
Disclosure of Invention
An object of the embodiment of the invention is to provide a new technical scheme for determining faults of an electric vehicle.
According to a first aspect of the present invention, there is provided a method for determining a failure of an electric vehicle, including:
when state report information from the electric vehicle is not received at preset time intervals, calculating a time difference value between a current time point and a time point of battery replacement of the electric vehicle;
judging whether the time difference value is larger than a preset battery electric quantity service time threshold value of the electric vehicle;
and marking the fault type of the electric vehicle according to the judging result.
Optionally, the marking the fault type of the electric vehicle according to the determination result includes:
if the time difference value is larger than the battery electric quantity using time threshold value, marking the fault type of the electric vehicle as a low-electric quantity fault;
and if the time difference value is smaller than or equal to the battery electric quantity using time threshold value, marking the fault type of the electric vehicle as the fault of the GPS module of the electric vehicle.
Optionally, the method further includes:
receiving the status report information from the electric vehicle;
recording the time point of receiving the state report information.
Optionally, after the receiving the status report information from the electric vehicle, the method further includes:
starting a timer corresponding to the electric vehicle, wherein the timing duration of the timer is equal to the preset time interval;
and judging whether new state report information from the electric vehicle is received or not when the timer is finished.
Optionally, the status report information includes at least: the identification information of the electric vehicle, GPS position information, battery power and firmware version information.
Optionally, when the battery power in the status report information is full, the time point of receiving the status report information is recorded as the time point of replacing the battery of the electric vehicle.
Optionally, the battery charge usage time threshold is 80% of the maximum battery charge usage time.
According to a second aspect of the present invention there is provided a server comprising a memory for storing computer instructions and a processor for invoking the computer instructions from the memory to perform the method of determining a failure of an electric vehicle as in any of the first aspects of the present invention.
According to a third aspect of the invention, there is provided a system for determining a fault of an electric vehicle, comprising a server according to the second aspect of the invention and an electric vehicle.
According to a fourth aspect of the present invention, there is provided a computer storage medium storing computer instructions which, when executed by a processor, implement a method of determining a fault of an electric vehicle as in any one of the first aspects of the present invention.
According to the method, the server and the system provided by the embodiment of the invention, when the state report information from the electric vehicle is not received at a preset time interval, the time difference between the current time point and the time point of battery replacement of the electric vehicle is calculated; judging whether the time difference value is larger than a preset battery electric quantity service time threshold value of the electric vehicle; and marking the fault type of the electric vehicle according to the judging result. Through the fault classification mark to the electric motor car for the operator can provide the operation and maintenance service of pertinence according to different fault types, thereby can save operation human cost, improve operation and maintenance service's quality and efficiency.
The foregoing objects, features and advantages of the disclosure will be more readily apparent from the following detailed description of the preferred embodiments taken in conjunction with the accompanying drawings.
Drawings
In order to more clearly illustrate the technical solution of the embodiments of the present invention, the drawings that are required to be used in the embodiments will be briefly described. It is appreciated that the following drawings depict only certain embodiments of the invention and are therefore not to be considered limiting of its scope. Other relevant drawings may be made by those of ordinary skill in the art without undue burden from these drawings.
Fig. 1 is a block diagram of a hardware configuration of a shared vehicle system 100 that may be used to implement an embodiment of the invention.
Fig. 2 is a flowchart of a method for determining a failure of an electric vehicle according to an embodiment of the present invention.
Fig. 3 shows a schematic diagram of a server provided by 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, numerical expressions and numerical values set forth in these embodiments do not limit the scope of the present disclosure unless it is 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 one 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 specific values should be construed as merely illustrative, and not a limitation. Thus, other examples of exemplary embodiments may have different values.
It should be noted that: like reference numerals and letters denote like items in the following figures, and thus once an item is defined in one figure, no further discussion thereof is necessary in subsequent figures.
< hardware configuration >
Fig. 1 is a block diagram of a hardware configuration of a shared vehicle system 100 that may be used to implement an embodiment of the invention.
As shown in fig. 1, the shared vehicle system 100 includes a server 1000, a mobile terminal 2000, and a vehicle 3000.
The server 1000 provides the service points for processing, database, communication 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, news server, mail server, message server, advertisement server, file server, application server, interaction server, database server, or 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 by or implemented by the server. For example, a server, such as a blade server, cloud server, etc., or may be a server group consisting of multiple servers, may include one or more of the types of servers described above, etc.
In one embodiment, the server 1000 may include a processor 1100, a memory 1200, an interface device 1300, a communication device 1400, a display device 1500, and an input device 1600, as shown in fig. 1.
In further embodiments, the server 1000 may also include speakers, microphones, etc., without limitation herein.
The processor 1100 may be a dedicated server processor, or may be a desktop processor, a mobile processor, or the like that meets performance requirements, and is not limited herein. The memory 1200 includes, for example, ROM (read only memory), RAM (random access memory), nonvolatile memory such as a hard disk, and the like. The interface device 1300 includes, for example, various bus interfaces such as a serial bus interface (including a USB interface), a parallel bus interface, and the like. The communication device 1400 can perform wired or wireless communication, for example. The display device 1150 is, for example, a liquid crystal display, an LED display touch display, or the like. The input device 1160 may include, for example, a touch screen, a keyboard, and the like.
In the present embodiment, the memory 1200 of the server 1000 is used to store instructions for controlling the processor 1100 to operate to perform the monitoring method of the shared vehicle 3000. The skilled person can design instructions according to the disclosed solution. How the instructions control the processor to operate is well known in the art and will not be described in detail here.
Although a plurality of devices of the server 1000 are shown in fig. 1, the present invention may relate to only some of the devices thereof, for example, the server 1000 may relate to only the memory 1200 and the processor 1100.
In this embodiment, the mobile terminal 2000 is, for example, a mobile phone, a portable computer, a tablet computer, a palm computer, a wearable device, etc.
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 so forth.
The processor 2100 may be a mobile version of the processor. The memory 2200 includes, for example, ROM (read only memory), RAM (random access memory), 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. The communication device 2400 may be, for example, a wired or wireless communication device, and the communication device 2400 may include a short-range communication device, such as any device that performs short-range wireless communication based on a short-range wireless communication protocol such as a Hilink protocol, wiFi (IEEE 802.11 protocol), mesh, bluetooth, zigBee, thread, Z-Wave, NFC, UWB, liFi, or the like, and the communication device 2400 may include a remote communication device, such as any device that performs WLAN, GPRS, 2G/3G/4G/5G remote communication. The display device 2500 is, for example, a liquid crystal display, a touch display, 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.
In this embodiment, the mobile terminal 2000 may be configured to receive and display information pushed by the server 1000 to a user using the vehicle 3000.
In the present embodiment, the memory 2200 of the mobile terminal 2000 is configured to store instructions for controlling the processor 2100 to operate to perform a method of using the shared vehicle 3000, for example, at least including: acquiring an identity of a vehicle 3000, forming an unlocking request for a specific vehicle, and sending the unlocking request to a server; and, bill calculation and the like are performed according to the fee settlement notification sent by the server. The skilled person can design instructions according to the disclosed solution. How the instructions control the processor to operate is well known in the art and will not be described in detail here.
Although a plurality of devices of the mobile terminal 2000 are illustrated in fig. 1, the present invention may relate to only some of the devices, for example, the mobile terminal 2000 may relate to only the memory 2200 and the processor 2100, the communication device 2400, and the display device 2500.
The vehicle 3000 may be a bicycle as shown in fig. 1, or may be a tricycle, an electric power assisted vehicle, a motorcycle, a four-wheel passenger vehicle, or the like, and is not limited thereto.
As shown in fig. 1, vehicle 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 speaker 3700, a microphone 3800, and the like. The processor 3100 may be a microprocessor MCU or the like. The memory 3200 includes, for example, ROM (read only memory), RAM (random access memory), nonvolatile memory such as a hard disk, and the like. The interface device 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, and can perform short-distance and long-distance communication, for example. The output device 2500 may be, for example, a device that outputs a signal, and may be a display device such as a liquid crystal display, a touch display, or a speaker that outputs voice information. The input device 2600 may include, for example, a touch panel, a keyboard, or a microphone to input voice information.
Although a plurality of devices of the vehicle 3000 are shown in fig. 1, the present invention may relate to only some of the devices, for example, the vehicle 3000 may relate to only the communication device 3400, the memory 3200, and the processor 3100. Alternatively, a lock mechanism controlled by the processor 3100, not shown in fig. 1, a sensor device for detecting the state of the lock mechanism, or the like may be further included.
In this embodiment, the vehicle 3000 may report its own position information to the server 1000, and report its own use state information to the server 1000, etc., for example, when it is detected that the user has completed the locking operation, a locking notification signal is reported to the server 1000.
In the present embodiment, the memory 3200 of the vehicle 3000 is used to store instructions for controlling the processor 3100 to operate to perform information interaction with the server 1000. The skilled person can design instructions according to the disclosed solution. How the instructions control the processor to operate is well known in the art and will not be described in detail here.
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 shared vehicle system 100 shown in fig. 1, the vehicle 3000 and the server 1000, and the mobile terminal 2000 and the server 1000 can communicate via the network 4000. The network 4000 on which the vehicle 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, and vehicle 3000, it is not meant to limit the respective numbers, and that a plurality of servers 1000, a plurality of mobile terminals 2000, and a plurality of vehicles 3000 may be included in the information push system 100.
The server 1000 is used to provide all functions necessary to support vehicle use; the mobile terminal 2000 may be a cellular phone on which a vehicle use application is installed, which may help a user to implement a function of using the vehicle 3000.
In the above description, the skilled person may design instructions according to the disclosed solution. How the instructions control the processor to operate is well known in the art and will not be described in detail here.
< method example >
Fig. 2 is a flowchart of a method for determining a failure of an electric vehicle according to an embodiment of the present invention.
The method may be implemented by a server, which may be in various physical forms. For example, the server may be a cloud server, or may also be a server 1000 as shown in fig. 1.
As shown in fig. 2, the method of the present embodiment may include the steps of:
step 4100, calculating a time difference between a current time point and a time point when the electric vehicle changes the battery when the state report information from the electric vehicle is not received at a preset time interval.
The state report information is used for informing a server of the current use state of the electric vehicle. For example, the status report information may include at least: the identification information of the electric vehicle, GPS position information, battery power and firmware version information.
The identification information of the electric vehicle is used for uniquely identifying the electric vehicle, and for example, the identification information can be the number of the electric vehicle. And the GPS position information of the electric vehicle is used for identifying the current geographic position of the electric vehicle. The battery power is used for indicating the current power of the battery of the electric vehicle so that an operator can judge whether the battery needs to be replaced or not. The firmware version information of the electric vehicle may be, for example, information such as a bluetooth version used by the electric vehicle.
The preset time interval is preset. For example, if the preset time interval is half an hour, the electric vehicle sends the current status report information to the server every half an hour. If the preset time interval is 1 hour, the electric vehicle sends current state report information to the server once every 1 hour.
Specifically, a server receives the status report information from the electric vehicle; and recording the time point when the status report information is received. After receiving the status report information from the electric vehicle, the server starts a timer corresponding to the electric vehicle, and judges whether new status report information from the electric vehicle is received or not when the timer finishes counting.
And the timing duration of the timer is equal to the preset time interval. For example, if the preset time interval is 1 hour, the timing duration of the timer is 1 hour correspondingly.
When the timer is finished, the server receives new state report information from the electric vehicle under the condition that the electric vehicle has no fault, records the time point of receiving the state report information, and starts a new timer.
When the battery level in the status report information is full, the time point when the status report information is received is recorded as the time point when the battery of the electric vehicle is replaced.
When the timer is finished and the electric vehicle fails, the server does not receive the state report information from the electric vehicle. That is, if status report information of the electric vehicle is not received at a preset time interval, it is indicated that the electric vehicle currently has a fault. At this time, the server needs to calculate a time difference between the current time point and the time point of battery replacement of the electric vehicle, so as to determine a specific fault type of the electric vehicle according to the time difference.
After the time difference is calculated, step 4200 is performed to determine whether the time difference is greater than a preset battery power usage time threshold of the electric vehicle.
The battery power use time threshold is set according to the longest battery power use time. And the longest service time of the battery, after a great amount of test is carried out on the service time length of the battery of the electric vehicle, the obtained battery can normally support the duration of the electric vehicle for sending the state report information.
Specifically, the battery power usage time threshold may be set to be 70% or 80% or 90% of the maximum battery power usage time. The present embodiment is not particularly limited thereto.
For example, if the test shows that the maximum service life of the battery is 100 hours, the set battery power service life threshold is 80% of the maximum service life of the battery. Correspondingly, the preset battery power use time threshold in the step is 80 hours. If the set battery power usage time threshold is 90% of the longest battery power usage time, the battery power usage time threshold preset in the step is 90 hours.
Step 4300, marking the fault type of the electric vehicle according to the judgment result.
Wherein, the judging result comprises: the time difference is greater than the battery power usage time threshold, or the time difference is less than or equal to the battery power usage time threshold.
In the step, if the time difference is greater than the battery power use time threshold, marking the fault type of the electric vehicle as a low power fault; and if the time difference value is smaller than or equal to the battery electric quantity using time threshold value, marking the fault type of the electric vehicle as the fault of the GPS module of the electric vehicle.
For example, if the battery power usage time threshold is 80 hours, the calculated time difference between the current time point and the time point of battery replacement of the electric vehicle is 90 hours, and if the calculated time difference is greater than the battery power usage time threshold for 80 hours, it indicates that the battery power consumption of the electric vehicle is relatively high, and the electric vehicle is not supported to send status report information to the server at preset time intervals. Therefore, the server marks the fault type of the electric vehicle as a low battery fault.
If the use time threshold of the battery power is 80 hours, the calculated time difference between the current time point and the time point of battery replacement of the electric vehicle is 60 hours, and is smaller than the use time threshold of the battery power for 80 hours, the fault of the GPS module of the electric vehicle is indicated, and the state report information cannot be sent to the server at preset time intervals. Accordingly, the server marks the fault type of the electric vehicle as a GPS module fault.
After the fault classification of the electric vehicle is marked in the server, operators can conduct targeted fault intervention according to different fault types. For example, for a low battery fault, an operator may concentrate on replacing a battery or charging a battery of an electric vehicle marked as a low battery fault within a certain zone. For a GPS module failure, operators can repair the electric vehicles in their jurisdictions marked as a GPS module failure.
The determination method of the electric vehicle failure provided in the present embodiment has been described above with reference to the accompanying drawings. According to the method for determining the faults of the electric vehicle, when the state report information from the electric vehicle is not received at the preset time interval, the time difference value between the current time point and the time point of battery replacement of the electric vehicle is calculated; judging whether the time difference value is larger than a preset battery electric quantity service time threshold value of the electric vehicle; and marking the fault type of the electric vehicle according to the judging result. Through the fault classification mark to the electric motor car for the operator can provide the operation and maintenance service of pertinence according to different fault types, thereby can save operation human cost, improve operation and maintenance service's quality and efficiency.
< Server >
In this embodiment, there is also provided a server 200, as shown in fig. 3, including:
a memory 210 for storing computer instructions;
the processor 220 is configured to call the computer instructions from the memory 210 to execute any one of the determining methods for the fault of the electric vehicle provided in the foregoing embodiments.
In this embodiment, the server 200 may be embodied in various physical forms. For example, the server 200 may be a cloud server. The server 200 may also be a server 1000 as shown in fig. 1.
< computer storage Medium >
In this embodiment, there is also provided a computer storage medium storing computer instructions that when executed by a processor implement the method for determining a failure of any one of the electric vehicles provided in the above embodiments.
< determination System of electric vehicle failure >
In this embodiment, a system for determining a fault of an electric vehicle is also provided, including the server 200 and the electric vehicle.
The determination method of the electric vehicle failure, the determination system of the electric vehicle failure, the server, and the computer storage medium provided in the present embodiment have been described above with reference to the accompanying drawings. According to the technical scheme, when the state report information from the electric vehicle is not received at the preset time interval, the time difference value between the current time point and the time point of battery replacement of the electric vehicle is calculated; judging whether the time difference value is larger than a preset battery electric quantity service time threshold value of the electric vehicle; and marking the fault type of the electric vehicle according to the judging result. Through the fault classification mark to the electric motor car for the operator can provide the operation and maintenance service of pertinence according to different fault types, thereby can save operation human cost, improve operation and maintenance service's quality and efficiency.
The present invention may be a system, method, and/or computer program product. The computer program product may include a computer readable storage medium having computer readable program instructions embodied thereon for causing a processor to implement aspects of the present invention.
The computer readable storage medium may be a tangible device that can hold and store instructions for use by an instruction execution device. The computer readable storage medium may be, for example, but not limited to, an electronic storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage 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: portable computer disks, hard disks, random Access Memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), static Random Access Memory (SRAM), portable compact disk read-only memory (CD-ROM), digital Versatile Disks (DVD), memory sticks, floppy disks, mechanical coding devices, punch cards or in-groove structures such as punch cards or grooves having instructions stored thereon, and any suitable combination of the foregoing. Computer-readable storage media, as used herein, are not to be construed as transitory signals per se, such as radio waves or other freely propagating electromagnetic waves, electromagnetic waves propagating through waveguides or other transmission media (e.g., optical pulses through fiber optic cables), or electrical signals transmitted through 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 over 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 transmissions, wireless transmissions, routers, firewalls, switches, gateway computers and/or edge servers. The network interface 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.
Computer program instructions for carrying out operations of the present invention may be assembly 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 be executed 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 kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computer (for example, through the Internet using an Internet service provider). In some embodiments, aspects of the present invention are implemented by personalizing electronic circuitry, such as programmable logic circuitry, field Programmable Gate Arrays (FPGAs), or Programmable Logic Arrays (PLAs), with state information for computer readable program instructions, which can execute the computer readable program instructions.
Various aspects of the present invention 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 invention. 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 having the instructions stored therein includes 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 flowcharts 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 invention. 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, implementation by software, and implementation by a combination of software and hardware are all equivalent.
The foregoing description of embodiments of the invention has been presented for purposes of illustration and description, and is not intended to be exhaustive or limited to the embodiments disclosed. Many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the various embodiments described. The terminology used herein was chosen in order to best explain the principles of the embodiments, the practical application, or the technical improvements in the marketplace, or to enable others of ordinary skill in the art to understand the embodiments disclosed herein. The scope of the invention is defined by the appended claims.

Claims (8)

1. A method for determining faults of an electric vehicle comprises the following steps:
when state report information from the electric vehicle is not received at preset time intervals, calculating a time difference value between a current time point and a time point of battery replacement of the electric vehicle, wherein the state report information is information for informing a server of the current use state of the electric vehicle;
judging whether the time difference value is larger than a preset battery electric quantity service time threshold value of the electric vehicle;
marking the fault type of the electric vehicle according to the judging result,
the marking the fault type of the electric vehicle according to the judging result comprises the following steps:
if the time difference value is larger than the battery electric quantity using time threshold value, marking the fault type of the electric vehicle as a low-electric quantity fault;
if the time difference value is smaller than or equal to the battery electric quantity using time threshold value, marking the fault type of the electric vehicle as the fault of the GPS module of the electric vehicle,
and when the battery electric quantity in the state report information is full, recording the time point of receiving the state report information as the time point of replacing the battery of the electric vehicle.
2. The method of claim 1, wherein the method further comprises:
receiving the status report information from the electric vehicle;
recording the time point of receiving the state report information.
3. The method of claim 2, wherein after the receiving the status report information from the electric vehicle, the method further comprises:
starting a timer corresponding to the electric vehicle, wherein the timing duration of the timer is equal to the preset time interval;
and judging whether new state report information from the electric vehicle is received or not when the timer is finished.
4. The method of claim 1, wherein the status report information includes at least: the identification information of the electric vehicle, GPS position information, battery power and firmware version information.
5. The method of claim 1, wherein the battery charge usage time threshold is 80% of a maximum charge usage time of the battery.
6. A server comprising a memory for storing computer instructions and a processor for invoking the computer instructions from the memory to perform the method of determining an electric vehicle fault of any of claims 1-5.
7. A determination system of an electric vehicle failure, comprising the server according to claim 6 and an electric vehicle.
8. A computer storage medium storing computer instructions which, when executed by a processor, implement the method of determining a fault in an electric vehicle of any one of claims 1-5.
CN201811290619.5A 2018-10-31 2018-10-31 Method, system, server and storage medium for determining fault of electric vehicle Active CN109448157B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201811290619.5A CN109448157B (en) 2018-10-31 2018-10-31 Method, system, server and storage medium for determining fault of electric vehicle

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201811290619.5A CN109448157B (en) 2018-10-31 2018-10-31 Method, system, server and storage medium for determining fault of electric vehicle

Publications (2)

Publication Number Publication Date
CN109448157A CN109448157A (en) 2019-03-08
CN109448157B true CN109448157B (en) 2024-02-06

Family

ID=65550500

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201811290619.5A Active CN109448157B (en) 2018-10-31 2018-10-31 Method, system, server and storage medium for determining fault of electric vehicle

Country Status (1)

Country Link
CN (1) CN109448157B (en)

Families Citing this family (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111867051A (en) * 2019-08-02 2020-10-30 北京骑胜科技有限公司 Positioning fault processing method and device
CN112035490B (en) * 2020-01-09 2022-05-03 人民出行(南宁)科技有限公司 Electric vehicle information monitoring method, device and system based on cloud platform
CN111768514B (en) * 2020-06-23 2021-01-19 广州市塔塔电子技术服务有限公司 New energy automobile fault data processing method and system
CN113467432A (en) * 2021-08-09 2021-10-01 江苏小牛电动科技有限公司 Electric vehicle fault diagnosis system

Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104933883A (en) * 2015-06-26 2015-09-23 北京智行者科技有限公司 Vehicle monitoring and vehicle guiding method based on mobile phone client, and system thereof
WO2016112642A1 (en) * 2015-01-16 2016-07-21 张泽 Method and apparatus for monitoring intelligent device
FR3018921B1 (en) * 2014-03-24 2017-07-07 Renault Sas METHOD FOR ESTIMATING THE AUTONOMY OF AN ELECTRIC OR HYBRID VEHICLE
CN107037370A (en) * 2017-04-18 2017-08-11 知豆电动汽车有限公司 Residual quantity calculation method of electric vehicle battery based on monitoring data
CN107146139A (en) * 2017-05-03 2017-09-08 无锡租八戒软件有限公司 Join formula electromobile lease system and its join management method
CN107707623A (en) * 2017-08-31 2018-02-16 深圳市盛路物联通讯技术有限公司 Equipment operation control method and relevant device
CN107843857A (en) * 2017-12-18 2018-03-27 广州亚美信息科技有限公司 A kind of measuring method of the automobile storage battery dump energy usage time based on OBD equipment
CN108156231A (en) * 2017-12-21 2018-06-12 北京摩拜科技有限公司 The fault car and method of server communication, vehicle and server

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
FR3018921B1 (en) * 2014-03-24 2017-07-07 Renault Sas METHOD FOR ESTIMATING THE AUTONOMY OF AN ELECTRIC OR HYBRID VEHICLE
WO2016112642A1 (en) * 2015-01-16 2016-07-21 张泽 Method and apparatus for monitoring intelligent device
CN104933883A (en) * 2015-06-26 2015-09-23 北京智行者科技有限公司 Vehicle monitoring and vehicle guiding method based on mobile phone client, and system thereof
CN107037370A (en) * 2017-04-18 2017-08-11 知豆电动汽车有限公司 Residual quantity calculation method of electric vehicle battery based on monitoring data
CN107146139A (en) * 2017-05-03 2017-09-08 无锡租八戒软件有限公司 Join formula electromobile lease system and its join management method
CN107707623A (en) * 2017-08-31 2018-02-16 深圳市盛路物联通讯技术有限公司 Equipment operation control method and relevant device
CN107843857A (en) * 2017-12-18 2018-03-27 广州亚美信息科技有限公司 A kind of measuring method of the automobile storage battery dump energy usage time based on OBD equipment
CN108156231A (en) * 2017-12-21 2018-06-12 北京摩拜科技有限公司 The fault car and method of server communication, vehicle and server

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
GPS定位器离线原因大分析!附超全解决方法;中必达GPS定位器;《搜狐网》;20170821;第1-2页 *
暂不发展背后:共享电单车""在哪儿了?;吴钦崎,等;《新民网》;20170510;第1页 *
王琨,等.第七章 汽车租赁.《租赁的逻辑》.中国金融出版社,2018, *

Also Published As

Publication number Publication date
CN109448157A (en) 2019-03-08

Similar Documents

Publication Publication Date Title
CN109448157B (en) Method, system, server and storage medium for determining fault of electric vehicle
US9467825B2 (en) Alerts based on vehicle and device telematics
WO2018192129A1 (en) Positioning method and device for carsharing and terminal device
CN103313216B (en) Message prompt method, system and device for communication account
CN112379208A (en) Fault detection method of electric bicycle, electric bicycle and system
US9402174B2 (en) Vehicle driver identification using portable device
JP2017521025A (en) Real-time vehicle driving monitoring system and method based on mobile terminal
CN105262792A (en) Vehicle abnormality processing method and vehicle-mounted terminal
CN112591003A (en) Power adjusting method and device of electric bicycle and electric bicycle
CN111126773A (en) Abnormal vehicle identification method and device and electronic equipment
CN110728830A (en) Method, system, server and terminal device for searching lost article
US9107060B2 (en) Texting driver alert service
CN113837845A (en) Returning processing method and device for shared bicycles and server
CN108200546B (en) Data reporting method and device, mobile terminal and computer readable medium
CN113830209B (en) Abnormal movement detection method and device, vehicle and server
CN115550847A (en) Vehicle returning processing method and device for shared vehicles and server
CN109493574B (en) Low-electricity processing method, server, electric power-assisted vehicle and system
CN112532512B (en) Session message processing method, related device, equipment and medium
CN115042664A (en) Automobile power battery monitoring method and device
JP6869883B2 (en) Management equipment, management programs, management methods and communication systems
CN113596769A (en) Vehicle control method and device and terminal equipment
CN113873018B (en) Vehicle communication method and device, server and vehicle
CN113870489B (en) Vehicle positioning method and device and vehicle
CN114475880A (en) Use control method and device of electric bicycle and electric bicycle
CN114408065B (en) Method and device for detecting battery theft of electric bicycle and electric bicycle

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
TA01 Transfer of patent application right

Effective date of registration: 20201211

Address after: Room 168, building 6, 741 Hangzhou Road, Yangpu District, Shanghai 200090

Applicant after: HANHAI INFORMATION TECHNOLOGY SHANGHAI Co.,Ltd.

Address before: Room Bnan 1231, 2 bungalows, No. 5 Road, College, Haidian District, Beijing, 100191

Applicant before: BEIJING MOBIKE TECHNOLOGY Co.,Ltd.

TA01 Transfer of patent application right
GR01 Patent grant
GR01 Patent grant