CN113468806B - Fault detection method and device for energy storage charging pile and computer readable storage medium - Google Patents
Fault detection method and device for energy storage charging pile and computer readable storage medium Download PDFInfo
- Publication number
- CN113468806B CN113468806B CN202110701588.3A CN202110701588A CN113468806B CN 113468806 B CN113468806 B CN 113468806B CN 202110701588 A CN202110701588 A CN 202110701588A CN 113468806 B CN113468806 B CN 113468806B
- Authority
- CN
- China
- Prior art keywords
- fault
- energy storage
- charging pile
- storage charging
- ems
- 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
Links
- 238000004146 energy storage Methods 0.000 title claims abstract description 111
- 238000001514 detection method Methods 0.000 title claims abstract description 87
- 238000000034 method Methods 0.000 claims abstract description 31
- 238000004891 communication Methods 0.000 claims abstract description 18
- 238000012360 testing method Methods 0.000 claims abstract description 3
- 238000012549 training Methods 0.000 claims description 25
- 238000004590 computer program Methods 0.000 claims description 12
- 238000012545 processing Methods 0.000 claims description 12
- 238000003745 diagnosis Methods 0.000 claims description 11
- 238000010801 machine learning Methods 0.000 claims description 6
- 230000004044 response Effects 0.000 claims description 5
- 238000005516 engineering process Methods 0.000 abstract description 8
- 238000010586 diagram Methods 0.000 description 6
- 230000006870 function Effects 0.000 description 4
- 230000008878 coupling Effects 0.000 description 3
- 238000010168 coupling process Methods 0.000 description 3
- 238000005859 coupling reaction Methods 0.000 description 3
- 230000000694 effects Effects 0.000 description 3
- 238000010248 power generation Methods 0.000 description 3
- 238000012544 monitoring process Methods 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- HEZMWWAKWCSUCB-PHDIDXHHSA-N (3R,4R)-3,4-dihydroxycyclohexa-1,5-diene-1-carboxylic acid Chemical compound O[C@@H]1C=CC(C(O)=O)=C[C@H]1O HEZMWWAKWCSUCB-PHDIDXHHSA-N 0.000 description 1
- 230000006978 adaptation Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 230000009977 dual effect Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 238000004088 simulation Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
- G06F30/27—Design optimisation, verification or simulation using machine learning, e.g. artificial intelligence, neural networks, support vector machines [SVM] or training a model
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N20/00—Machine learning
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION 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
- G06Q10/00—Administration; Management
- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION 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
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION 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
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/06—Energy or water supply
Landscapes
- Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Theoretical Computer Science (AREA)
- Economics (AREA)
- Physics & Mathematics (AREA)
- Strategic Management (AREA)
- General Physics & Mathematics (AREA)
- Software Systems (AREA)
- Entrepreneurship & Innovation (AREA)
- General Business, Economics & Management (AREA)
- Tourism & Hospitality (AREA)
- Development Economics (AREA)
- Evolutionary Computation (AREA)
- Marketing (AREA)
- Quality & Reliability (AREA)
- Game Theory and Decision Science (AREA)
- General Engineering & Computer Science (AREA)
- Educational Administration (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Health & Medical Sciences (AREA)
- Medical Informatics (AREA)
- Artificial Intelligence (AREA)
- Operations Research (AREA)
- Computing Systems (AREA)
- Primary Health Care (AREA)
- General Health & Medical Sciences (AREA)
- Water Supply & Treatment (AREA)
- Public Health (AREA)
- Mathematical Physics (AREA)
- Data Mining & Analysis (AREA)
- Computer Hardware Design (AREA)
- Geometry (AREA)
- Charge And Discharge Circuits For Batteries Or The Like (AREA)
Abstract
The invention discloses a fault detection method and device for an energy storage charging pile and a computer readable storage medium. Wherein the method comprises the following steps: under the condition that communication timeout occurs between each functional module of the energy storage charging pile and the energy management system EMS, controlling each functional module to execute a fault self-checking flow to obtain a fault self-checking result of each functional module; analyzing the fault self-checking result of each functional module by using the EMS to obtain fault information of the energy storage charging pile, wherein the fault information at least comprises: fault type, fault level. The invention solves the technical problem of lower reliability of the power-on self-test mode for the energy storage charging pile in the related technology.
Description
Technical Field
The invention relates to the field of energy storage charging pile management, in particular to a fault detection method and device of an energy storage charging pile and a computer readable storage medium.
Background
The traditional power-on self-checking method only comprises common detection before power-on, such as power supply overvoltage faults and undervoltage faults, does not have pre-judgment about important faults of the system, is dispersed in each sub-module, is difficult to manage in a centralized mode, and causes the problems of untimely fault treatment and the like. Moreover, the general power-on self-checking strategy is to perform independent fault diagnosis for each functional module, so that it is difficult to cover all possible situations, namely, the fault coverage is difficult to ensure, and therefore, certain main functions or functions related to safety are not ensured; in addition, the results of the individual processing and the processing after coupling between certain faults will be different, and when the levels of faults are different, the results of the system processing will also be different.
Aiming at the problem that the reliability of the power-on self-checking mode for the energy storage charging pile in the related technology is low, no effective solution is proposed at present.
Disclosure of Invention
The embodiment of the invention provides a fault detection method and device of an energy storage charging pile and a computer readable storage medium, which are used for at least solving the technical problem of lower reliability of a power-on self-test mode for the energy storage charging pile in the related technology.
According to an aspect of the embodiment of the present invention, there is provided a fault detection method for an energy storage charging pile, including: under the condition that communication timeout occurs between each functional module of the energy storage charging pile and an Energy Management System (EMS), controlling each functional module to execute a fault self-checking flow to obtain a fault self-checking result of each functional module; analyzing the fault self-checking result of each functional module by using the EMS to obtain fault information of the energy storage charging pile, wherein the fault information at least comprises: fault type, fault level.
Optionally, before determining that a communication timeout occurs between each functional module of the energy storage charging pile and the energy management system EMS, the method further includes: acquiring a power-on instruction; and after the low-voltage power supply module controlling the energy storage charging pile provides a low-voltage power supply for the energy storage charging pile according to the power-on instruction, determining that the initialization of each functional module is successful.
Optionally, the method further comprises: and when the functional modules are controlled to execute the fault self-checking flow, the EMS is utilized to perform fault detection on the functional modules to obtain a fault detection result.
Optionally, analyzing the fault self-checking result of each functional module by using the EMS to obtain fault information of the energy storage charging pile, including: and comprehensively analyzing the fault self-checking result and the fault detection result by using the EMS to obtain the fault information of the energy storage charging pile.
Optionally, the method further comprises: detecting a relay of the energy storage charging pile by using the EMS to obtain a detection result of the relay; and judging whether the relay has a preset fault or not based on the detection result to obtain a judgment result, wherein the preset fault comprises at least one of the following steps: normally open failure, stuck failure.
Optionally, after analyzing the fault self-checking result of each functional module by using the EMS to obtain the fault information of the energy storage charging pile, the method further includes: determining a fault processing strategy corresponding to the fault information through a prediction model, wherein the prediction model is obtained through machine learning training by using a plurality of sets of training data, and each set of training data in the plurality of sets of training data comprises: fault information and a fault handling policy corresponding to the fault information; responsive to the fault handling policy.
According to another aspect of the embodiment of the present invention, there is also provided a fault detection device for an energy storage charging pile, the fault detection device for the energy storage charging pile including: the utility model provides a fault detection device of stake is filled in energy storage which characterized in that includes: the control module is used for controlling each functional module to execute a fault self-checking flow under the condition that communication timeout occurs between each functional module of the energy storage charging pile and the energy management system EMS, so as to obtain a fault self-checking result of each functional module; the analysis module is used for analyzing the fault self-checking results of the functional modules by utilizing the EMS to obtain the fault information of the energy storage charging pile, wherein the fault information at least comprises: fault type, fault level.
Optionally, the fault detection device of the energy storage charging pile further includes: the acquisition module is used for acquiring a power-on instruction before communication timeout occurs between each functional module of the energy storage charging pile and the energy management system EMS; and the first determining module is used for determining that the initialization of each functional module is successful after the low-voltage power supply module for controlling the energy storage charging pile supplies low-voltage power to the energy storage charging pile according to the power-on instruction.
Optionally, the fault detection device of the energy storage charging pile further includes: and the detection module is used for carrying out fault detection on each functional module by utilizing the EMS while controlling each functional module to execute a fault self-checking flow so as to obtain a fault detection result.
Optionally, the fault detection device of the energy storage charging pile further includes: and the analysis unit is used for comprehensively analyzing the fault self-checking result and the fault detection result by utilizing the EMS to obtain the fault information of the energy storage charging pile.
Optionally, the fault detection device of the energy storage charging pile further includes: the detection unit is used for detecting the relay of the energy storage charging pile by using the EMS to obtain a detection result of the relay; a result unit, configured to determine whether a predetermined fault occurs in the relay based on the detection result, and obtain a determination result, where the predetermined fault includes at least one of: normally open failure, stuck failure.
Optionally, the fault detection device of the energy storage charging pile further includes: the second determining module is configured to determine, after analyzing a fault self-checking result of each functional module by using the EMS to obtain fault information of the energy storage charging pile, a fault processing policy corresponding to the fault information through a prediction model, where the prediction model is obtained by using multiple sets of training data through machine learning training, and each set of training data in the multiple sets of training data includes: fault information and a fault handling policy corresponding to the fault information; and the response module is used for responding to the fault processing strategy.
According to another aspect of the embodiment of the present invention, there is provided a computer readable storage medium, including a stored computer program, where the computer program, when executed by a processor, controls a device in which the computer readable storage medium is located to perform the fault detection method of the energy storage charging pile according to any one of the above.
According to another aspect of the embodiment of the present invention, there is provided a processor, configured to execute a computer program, where the computer program executes the fault detection method of the energy storage charging pile according to any one of the foregoing methods.
In the embodiment of the invention, under the condition that communication timeout occurs between each functional module of the energy storage charging pile and the energy management system EMS, each functional module is controlled to execute a fault self-checking flow, and a fault self-checking result of each functional module is obtained; analyzing the fault self-checking result of each functional module by using the EMS to obtain fault information of the energy storage charging pile, wherein the fault information at least comprises: fault type, fault level. By the fault detection method for the energy storage charging pile, the purpose that the movable energy storage charging pile can be safely and self-checked and judged is achieved, so that the technical effect that all functional modules can normally operate after the movable charging pile of the double battery pack is electrified is achieved, and the technical problem that the reliability of an electrification self-checking mode for the energy storage charging pile in the related technology is low is solved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this specification, illustrate embodiments of the application and together with the description serve to explain the application and do not constitute a limitation on the application. In the drawings:
FIG. 1 is a flow chart of a method of fault detection of an energy storage charging pile according to an embodiment of the invention;
FIG. 2 is a schematic diagram of a fault diagnosis relationship between controllers of a mobile charging pile according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of a diagnosis of relay faults in an EMS module according to an embodiment of the present invention;
fig. 4 is a schematic diagram of a fault detection device of an energy storage charging pile according to an embodiment of the present invention.
Detailed Description
In order that those skilled in the art will better understand the present invention, a technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in which it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present invention without making any inventive effort, shall fall within the scope of the present invention.
It should be noted that the terms "first," "second," and the like in the description and the claims of the present invention and the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the invention described herein may be implemented in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
For convenience of description, some terms or terminology appearing in the embodiments of the invention are described below.
Energy management system (ENERGY MANAGEMENT SYSTEM, EMS for short): is a computer system comprising a software platform providing basic support services and a set of applications providing the functionality required to enable power generation and transmission equipment to operate efficiently in order to ensure proper power security with minimal cost. The energy management system also comprises a data acquisition and monitoring system, an automatic power generation control system, an economic dispatch control system, an electric power system state estimation system, a safety analysis system and a dispatcher simulation training system.
Battery management system (BMS for short) MANAGEMENT SYSTEM: the system is an important tie for connecting a vehicle-mounted power battery and an electric automobile, and the functions of the system mainly comprise real-time monitoring of physical parameters of the battery, estimation of battery state, on-line diagnosis and early warning, charge/discharge and pre-charge control, balanced management and thermal management and the like.
Telematics-Box (TBOX for short): the intelligent control system is connected with a network at a high speed, and provides safe, stable and efficient global intelligent control service for the industrial Internet of things for industrial Internet of things interconnection technology and traditional industrial automation equipment core control enterprises by means of rich network resources.
A charge control unit (Charge Control Unit, abbreviated as CCU): is an automatic charge/discharge control device mounted in most power generation systems for protecting a battery from overcharge.
Example 1
According to an embodiment of the present invention, there is provided a method embodiment of a fault detection method for an energy storage charging pile, it being noted that the steps illustrated in the flowchart of the figures may be performed in a computer system, such as a set of computer executable instructions, and that although a logical sequence is illustrated in the flowchart, in some cases the steps illustrated or described may be performed in a different order than that illustrated herein.
Fig. 1 is a flowchart of a fault detection method of an energy storage charging pile according to an embodiment of the present invention, as shown in fig. 1, the method includes the steps of:
Step S102, under the condition that communication timeout occurs between each functional module of the energy storage charging pile and the energy management system EMS, each functional module is controlled to execute a fault self-checking flow, and a fault self-checking result of each functional module is obtained.
Optionally, each functional module of the energy storage charging pile includes, but is not limited to: an EMS fault detection module, a BMS fault detection module, a TBOX fault detection module, a CCU fault detection module, and the like.
Step S104, analyzing the fault self-checking result of each functional module by using the EMS to obtain the fault information of the energy storage charging pile, wherein the fault information at least comprises: fault type, fault level.
Optionally, the detecting, by the EMS, the fault of each functional module in real time includes: and the comprehensive judgment is carried out, and the comprehensive judgment mainly comprises a standby storage battery fault, a DCDC conversion module fault, a lightning arrester fault, a relay fault, an access control fault and the like.
It can be known from the above that, in the embodiment of the present invention, under the condition that communication timeout occurs between each functional module of the energy storage charging pile and the energy management system EMS, each functional module is controlled to execute a fault self-checking procedure, so as to obtain a fault self-checking result of each functional module, and then the fault self-checking result of each functional module is analyzed by using the EMS, so as to obtain fault information of the energy storage charging pile, thereby achieving the purpose of safe self-checking and judging of the mobile energy storage charging pile, and further achieving the technical effect of ensuring that each functional module can normally operate after the mobile charging pile of the dual battery pack is powered on.
Therefore, the fault detection method for the energy storage charging pile solves the technical problem that the reliability of a power-on self-detection mode for the energy storage charging pile in the related technology is low.
As an alternative embodiment, before determining that a communication timeout occurs between each functional module of the energy storage charging pile and the energy management system EMS, the method may further include: acquiring a power-on instruction; after the low-voltage power supply module controlling the energy storage charging pile provides low-voltage power supply for the energy storage charging pile according to the power-on instruction, each functional module is determined to be successfully initialized.
Fig. 2 is a schematic diagram of a fault diagnosis relationship between controllers of a mobile charging pile according to an embodiment of the present invention, as shown in fig. 2, and the method includes the following steps: 1) And the movable energy storage type charging pile is electrified at low voltage. 2) The energy management system EMS is initialized successfully. 3) The energy management system EMS is initialized successfully. 4) The charge control unit CCU is initialized successfully. 5) The touch screen is initialized successfully. 6) The remote controller TBOX initialization was successful. 7) The energy management system EMS detects a relay normally open fault. 8) The energy management system EMS detects relay adhesion faults. 9) The energy management system EMS determines different fault levels according to different faults, thereby executing different responses.
As an alternative embodiment, the method may further comprise: and when each functional module is controlled to execute the fault self-checking flow, the EMS is utilized to perform fault detection on each functional module, and a fault detection result is obtained.
In the embodiment, the detection of each functional module is performed by using EMS in addition to self-checking, so that the purpose of comprehensively judging each functional module of the energy storage type charging pile is realized, and the detection accuracy is improved.
As an optional embodiment, the fault self-checking result of each functional module is analyzed by using the EMS to obtain fault information of the energy storage charging pile, and the method may further include: and comprehensively analyzing the fault self-checking result and the fault detection result by using the EMS to obtain the fault information of the energy storage charging pile.
In this embodiment, each module in the main functional module of the mobile charging pile detects a communication timeout to the EMS, and each module may independently detect whether each fails, and the failure detection of each module is performed simultaneously.
As an alternative embodiment, the method may further comprise: detecting a relay of the energy storage charging pile by using the EMS to obtain a detection result of the relay; and judging whether the relay has a preset fault or not based on the detection result to obtain a judgment result, wherein the preset fault comprises at least one of the following steps: normally open failure, stuck failure.
In the embodiment, for the diagnosis of relay faults in the EMS module, a unified detection method before power-on is adopted, and fault diagnosis of all relays can be covered before the pile normally operates, so that potential safety hazards can be effectively avoided.
Fig. 3 is a schematic diagram of diagnosis of a relay fault in an EMS module according to an embodiment of the present invention, and as shown in fig. 3, the method includes the steps of: the EMS module sends a driving instruction to the relay, the relay starts fault diagnosis operation, the relay is closed, the calibration time is continued, whether a normally open fault exists or not can be judged in the period, after a feedback result is obtained, whether the normally open fault exists in the relay or not and the normally open fault detection completion flag bit is set, the relay is disconnected, the calibration time is continued, and finally whether the normally open fault exists in the relay or not can be fed back.
As an alternative embodiment, after analyzing the fault self-checking result of each functional module by using the EMS to obtain the fault information of the energy storage charging pile, the method may further include: determining a fault processing strategy corresponding to the fault information through a prediction model, wherein the prediction model is obtained through machine learning training by using a plurality of sets of training data, and each set of training data in the plurality of sets of training data comprises: fault information and a fault handling policy corresponding to the fault information; in response to a fault handling policy.
Example 2
According to another aspect of the embodiment of the present invention, there is provided a fault detection device for an energy storage charging pile, and fig. 4 is a schematic diagram of the fault detection device for the energy storage charging pile according to the embodiment of the present invention, as shown in fig. 4, the fault detection device for the energy storage charging pile includes: the control module 41 and the analysis module 43. The fault detection device of the energy storage charging pile will be described below.
And the control module 41 is configured to control each functional module to execute a fault self-checking procedure to obtain a fault self-checking result of each functional module when determining that communication timeout occurs between each functional module of the energy storage charging pile and the energy management system EMS.
The analysis module 43 is configured to analyze the fault self-checking result of each functional module by using the EMS to obtain fault information of the energy storage charging pile, where the fault information at least includes: fault type, fault level.
Here, the control module 41 and the analysis module 43 correspond to steps S102 to S104 in embodiment 1, and the modules are the same as examples and application scenarios implemented by the corresponding steps, but are not limited to those disclosed in embodiment 1. It should be noted that the modules described above may be implemented as part of an apparatus in a computer system, such as a set of computer-executable instructions.
As can be seen from the above, in the embodiment of the present invention, when the control module determines that communication timeout occurs between each functional module of the energy storage charging pile and the energy management system EMS, the control module controls each functional module to execute a fault self-checking procedure, so as to obtain a fault self-checking result of each functional module; then, the analysis module can be utilized to analyze the fault self-checking results of each functional module by utilizing the EMS to obtain the fault information of the energy storage charging pile, wherein the fault information at least comprises: fault type, fault level. According to the fault detection device for the energy storage charging pile, the purpose that the movable energy storage charging pile can be safely and self-checked and judged is achieved, so that the technical effect that all functional modules can normally operate after the movable charging pile of the double battery pack is electrified is achieved, and the technical problem that the reliability of an electrified self-checking mode for the energy storage charging pile in the related technology is low is solved.
Optionally, the fault detection device of the energy storage charging pile further includes: the acquisition module is used for acquiring a power-on instruction before communication timeout occurs between each functional module of the energy storage charging pile and the energy management system EMS; the first determining module is used for determining that each functional module is successfully initialized after the low-voltage power module controlling the energy storage charging pile provides the energy storage charging pile with the low-voltage power according to the power-on instruction.
Optionally, the fault detection device of the energy storage charging pile further includes: and the detection module is used for carrying out fault detection on each functional module by using the EMS while controlling each functional module to execute a fault self-detection flow so as to obtain a fault detection result.
Optionally, the fault detection device of the energy storage charging pile further includes: and the analysis unit is used for comprehensively analyzing the fault self-checking result and the fault detection result by using the EMS to obtain the fault information of the energy storage charging pile.
Optionally, the fault detection device of the energy storage charging pile further includes: the detection unit is used for detecting the relay of the energy storage charging pile by using the EMS to obtain a detection result of the relay; a result unit for determining whether a predetermined failure occurs in the relay based on the detection result, and obtaining a determination result, wherein the predetermined failure includes at least one of the following: normally open failure, stuck failure.
Optionally, the fault detection device of the energy storage charging pile further includes: the second determining module is configured to determine, after fault self-checking results of each functional module are analyzed by using the EMS to obtain fault information of the energy storage charging pile, a fault processing policy corresponding to the fault information through a prediction model, where the prediction model is obtained by using multiple sets of training data through machine learning training, and each set of training data in the multiple sets of training data includes: fault information and a fault handling policy corresponding to the fault information; and the response module is used for responding to the fault processing strategy.
Example 3
According to another aspect of the embodiment of the present invention, there is provided a computer readable storage medium, including a stored computer program, wherein the computer program when executed by a processor controls a device in which the computer readable storage medium is located to perform the fault detection method of the energy storage charging pile according to any one of the above.
Example 4
According to another aspect of the embodiment of the present invention, there is also provided a processor, configured to execute a computer program, where the computer program executes the fault detection method of the energy storage charging pile according to any one of the above.
The foregoing embodiment numbers of the present invention are merely for the purpose of description, and do not represent the advantages or disadvantages of the embodiments.
In the foregoing embodiments of the present invention, the descriptions of the embodiments are emphasized, and for a portion of this disclosure that is not described in detail in this embodiment, reference is made to the related descriptions of other embodiments.
In the several embodiments provided in the present application, it should be understood that the disclosed technology may be implemented in other manners. The above-described embodiments of the apparatus are merely exemplary, and the division of the units, for example, may be a logic function division, and may be implemented in another manner, for example, a plurality of units or components may be combined or may be integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be through some interfaces, units or modules, or may be in electrical or other forms.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in the embodiments of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.
The integrated units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied essentially or in part or all of the technical solution or in part in the form of a software product stored in a storage medium, including instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a usb disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a removable hard disk, a magnetic disk, or an optical disk, or other various media capable of storing program codes.
The foregoing is merely a preferred embodiment of the present invention and it should be noted that modifications and adaptations to those skilled in the art may be made without departing from the principles of the present invention, which are intended to be comprehended within the scope of the present invention.
Claims (6)
1. The fault detection method of the energy storage charging pile is characterized by comprising the following steps of:
Under the condition that communication timeout occurs between each functional module of the energy storage charging pile and an Energy Management System (EMS), controlling each functional module to execute a fault self-checking flow to obtain a fault self-checking result of each functional module;
analyzing the fault self-checking result of each functional module by using the EMS to obtain fault information of the energy storage charging pile, wherein the fault information at least comprises: fault type, fault level;
Before determining that communication timeout occurs between each functional module of the energy storage charging pile and the energy management system EMS, the method further includes:
Acquiring a power-on instruction;
after the low-voltage power supply module controlling the energy storage charging pile provides a low-voltage power supply for the energy storage charging pile according to the power-on instruction, determining that the initialization of each functional module is successful;
After analyzing the fault self-checking result of each functional module by using the EMS to obtain the fault information of the energy storage charging pile, the method further includes:
Determining a fault processing strategy corresponding to the fault information through a prediction model, wherein the prediction model is obtained through machine learning training by using a plurality of sets of training data, and each set of training data in the plurality of sets of training data comprises: fault information and a fault handling policy corresponding to the fault information;
Responding to the fault processing strategy;
The method further comprises the steps of:
While controlling each functional module to execute a fault self-checking flow, performing fault detection on each functional module by using the EMS to obtain a fault detection result;
The method further comprises the steps of:
detecting a relay of the energy storage charging pile by using the EMS to obtain a detection result of the relay;
And judging whether the relay has a preset fault or not based on the detection result to obtain a judgment result, wherein the preset fault comprises at least one of the following steps: normally open failure, adhesion failure;
Detecting the relay of the energy storage charging pile by using the EMS, comprising:
and sending a driving instruction to the relay through the EMS, so that the relay starts fault diagnosis operation, closes the relay, continuously calibrates the time, can judge whether a normally open fault exists in the time, feeds back whether the normally open fault exists in the relay and the detection completion flag position of the normally open fault is set after a feedback result is obtained, then opens the relay, continuously calibrates the time, and feeds back whether the normally open fault exists in the relay.
2. The method of claim 1, wherein analyzing the fault self-test results of the functional modules by using the EMS to obtain fault information of the energy storage charging pile, includes:
And comprehensively analyzing the fault self-checking result and the fault detection result by using the EMS to obtain the fault information of the energy storage charging pile.
3. The utility model provides a fault detection device of stake is filled in energy storage which characterized in that includes:
The control module is used for controlling each functional module to execute a fault self-checking flow under the condition that communication timeout occurs between each functional module of the energy storage charging pile and the energy management system EMS, so as to obtain a fault self-checking result of each functional module;
the analysis module is used for analyzing the fault self-checking results of the functional modules by utilizing the EMS to obtain the fault information of the energy storage charging pile, wherein the fault information at least comprises: fault type, fault level;
The acquisition module is used for acquiring a power-on instruction;
The first determining module is used for determining that the initialization of each functional module is successful after the low-voltage power supply module controlling the energy storage charging pile provides a low-voltage power supply for the energy storage charging pile according to the power-on instruction;
The second determining module is configured to determine, by using a prediction model, a fault handling policy corresponding to the fault information, where the prediction model is obtained by using multiple sets of training data through machine learning training, and each set of training data in the multiple sets of training data includes: fault information and a fault handling policy corresponding to the fault information;
a response module for responding to the fault handling policy;
The apparatus further comprises:
the detection module is used for detecting faults of the functional modules by using the EMS while controlling the functional modules to execute fault self-checking flow to obtain fault detection results;
The apparatus further comprises:
the detection unit is used for detecting the relay of the energy storage charging pile by using the EMS to obtain a detection result of the relay;
A result unit, configured to determine whether a predetermined fault occurs in the relay based on the detection result, and obtain a determination result, where the predetermined fault includes at least one of: normally open failure, adhesion failure;
The detection unit is further used for:
and sending a driving instruction to the relay through the EMS, so that the relay starts fault diagnosis operation, closes the relay, continuously calibrates the time, can judge whether a normally open fault exists in the time, feeds back whether the normally open fault exists in the relay and the detection completion flag position of the normally open fault is set after a feedback result is obtained, then opens the relay, continuously calibrates the time, and feeds back whether the normally open fault exists in the relay.
4. A device according to claim 3, characterized in that the device further comprises:
The acquisition module is used for acquiring a power-on instruction before communication timeout occurs between each functional module of the energy storage charging pile and the energy management system EMS;
And the first determining module is used for determining that the initialization of each functional module is successful after the low-voltage power supply module for controlling the energy storage charging pile supplies low-voltage power to the energy storage charging pile according to the power-on instruction.
5. A computer readable storage medium, characterized in that the computer readable storage medium comprises a stored computer program, wherein the computer program, when run by a processor, controls a device in which the computer readable storage medium is located to perform the fault detection method of the energy storage charging pile according to any one of the preceding claims 1-2.
6. A processor, characterized in that the processor is adapted to run a computer program, wherein the computer program, when run, performs the method of fault detection of an energy storage charging pile according to any of the preceding claims 1-2.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202110701588.3A CN113468806B (en) | 2021-06-23 | 2021-06-23 | Fault detection method and device for energy storage charging pile and computer readable storage medium |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202110701588.3A CN113468806B (en) | 2021-06-23 | 2021-06-23 | Fault detection method and device for energy storage charging pile and computer readable storage medium |
Publications (2)
Publication Number | Publication Date |
---|---|
CN113468806A CN113468806A (en) | 2021-10-01 |
CN113468806B true CN113468806B (en) | 2024-06-28 |
Family
ID=77872529
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202110701588.3A Active CN113468806B (en) | 2021-06-23 | 2021-06-23 | Fault detection method and device for energy storage charging pile and computer readable storage medium |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN113468806B (en) |
Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108490370A (en) * | 2018-03-19 | 2018-09-04 | 万帮充电设备有限公司 | A kind of method and apparatus of fault diagnosis |
CN108828353A (en) * | 2018-05-24 | 2018-11-16 | 北京科佳同创新能源科技有限公司 | A kind of charging pile trouble hunting system and method |
CN109596913A (en) * | 2018-11-26 | 2019-04-09 | 国网冀北电力有限公司 | Charging pile failure cause diagnostic method and device |
Family Cites Families (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112434826A (en) * | 2020-11-13 | 2021-03-02 | 国网天津市电力公司营销服务中心 | Intelligent analysis and early warning system for operation and maintenance faults of charging facilities of charging pile |
-
2021
- 2021-06-23 CN CN202110701588.3A patent/CN113468806B/en active Active
Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108490370A (en) * | 2018-03-19 | 2018-09-04 | 万帮充电设备有限公司 | A kind of method and apparatus of fault diagnosis |
CN108828353A (en) * | 2018-05-24 | 2018-11-16 | 北京科佳同创新能源科技有限公司 | A kind of charging pile trouble hunting system and method |
CN109596913A (en) * | 2018-11-26 | 2019-04-09 | 国网冀北电力有限公司 | Charging pile failure cause diagnostic method and device |
Also Published As
Publication number | Publication date |
---|---|
CN113468806A (en) | 2021-10-01 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN104297699B (en) | A kind of satellite power supply health status tracking and detection method based on intelligent interpretation | |
CN103475059B (en) | Multiple-channel output cooperation control electric automobile integrated charger supervisory control system and method | |
US9404977B2 (en) | Bidirectional DC converter-based battery simulator | |
CN104798283A (en) | Device for testing and maintaining a high voltage battery and uses thereof | |
CN105759780B (en) | Electric automobile and communication fault processing method and device thereof | |
CN107045334B (en) | Testing method and testing device for charging pile management system | |
CN110456761A (en) | Test macro, method and the vehicle of energy management apparatus | |
CN106564391A (en) | High-voltage power battery contactor detection method and device, battery management system and automobile | |
CN111890933A (en) | Battery management method and system for vehicle, vehicle and server | |
CN109387376A (en) | The diagnostic method of vehicle trouble, the diagnostic device of vehicle trouble and server | |
CN109733238A (en) | Fault detection method, device, storage medium and processor | |
CN114475252A (en) | Data processing system and method for vehicle battery, vehicle and storage medium | |
CN110598876A (en) | Fault monitoring method and device, storage medium and electronic equipment | |
CN105548763A (en) | Electric automobile and test system for electric automobile | |
CN111707943A (en) | Battery simulation-based electric vehicle charging fault early warning method and system | |
CN111552584B (en) | Testing system, method and device for satellite primary fault diagnosis isolation and recovery function | |
CN113468806B (en) | Fault detection method and device for energy storage charging pile and computer readable storage medium | |
CN112803581B (en) | Intelligent power supply control method, system and device for low-voltage contact cabinet | |
CN112307647A (en) | Charging pile communication interruption testing method and device, storage medium and processor | |
CN103376407A (en) | Method and arrangement for diagnosing drivers of contactors, battery, and motor vehicle having such a battery | |
CN116400221A (en) | Method for testing safety function of battery management system | |
CN114690741A (en) | Controller test system and method for vehicle, electronic device and readable storage medium | |
CN115308612A (en) | Module battery deep over-discharge testing system and method | |
CN115128495A (en) | Battery pack maintenance system | |
CN113537843A (en) | Energy storage energy management system and method |
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 | ||
GR01 | Patent grant |