CN116520156A - Battery pack detection system and method - Google Patents

Battery pack detection system and method Download PDF

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Publication number
CN116520156A
CN116520156A CN202310710929.2A CN202310710929A CN116520156A CN 116520156 A CN116520156 A CN 116520156A CN 202310710929 A CN202310710929 A CN 202310710929A CN 116520156 A CN116520156 A CN 116520156A
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CN
China
Prior art keywords
battery pack
detection
cloud server
course
parameter
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Pending
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CN202310710929.2A
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Chinese (zh)
Inventor
许耀文
舒伟
董汉
陈超
刘畅
衡建南
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Suzhou Tsing Standard Automobile Technology Co ltd
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Suzhou Tsing Standard Automobile Technology Co ltd
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Priority to CN202310710929.2A priority Critical patent/CN116520156A/en
Publication of CN116520156A publication Critical patent/CN116520156A/en
Pending legal-status Critical Current

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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/01—Protocols
    • H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
    • G01R31/371—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC] with remote indication, e.g. on external chargers
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
    • G01R31/385—Arrangements for measuring battery or accumulator variables

Abstract

The embodiment of the specification provides a battery pack detection system and a battery pack detection method, which can be applied to the technical field of battery pack detection. The system comprises a cloud server, terminal equipment, scanning equipment and detection equipment; the scanning equipment is used for acquiring a battery pack identifier of the target battery pack and sending the battery pack identifier to the terminal equipment; the terminal equipment is used for sending the battery pack model parameters corresponding to the battery pack identifications to the cloud server; the detection guide data corresponding to the battery pack model parameters and fed back by the cloud server are displayed; the detection guide data comprises a battery pack detection course; the cloud server is used for searching detection guide data corresponding to the battery pack model parameters; the detection device is used for detecting the target battery pack based on the battery pack detection course and acquiring detection parameters corresponding to the target battery pack. The system effectively guides station staff to finish detection and maintenance of the battery pack, and facilitates maintenance of the station for the battery pack.

Description

Battery pack detection system and method
Technical Field
The embodiment of the specification relates to the technical field of battery pack detection, in particular to a battery pack detection system and a battery pack detection method.
Background
With the popularization of new energy automobiles, the need for repair and maintenance of the new energy automobiles is derived. In real life, more and more maintenance stations can carry out maintenance and repair of new energy automobiles. As an energy supply module of a new energy automobile, the necessity of effective maintenance and performance test of a battery pack by a maintenance station is increasing.
However, the number of battery packs on the market is large, different battery packs have different detection flows, and the analysis modes of the detection data of the battery packs of different types are different. Because the development time of the new energy automobile is short, most station workers lack sufficient battery pack maintenance experience, and the detection method and the maintenance scheme can not be guaranteed to be known for all types of battery packs, so that the normal work of a maintenance station is affected. Therefore, a technical solution capable of effectively assisting in completing the detection and maintenance process of the battery pack is needed.
Disclosure of Invention
An objective of the embodiments of the present disclosure is to provide a system and a method for detecting a battery pack, so as to solve the problem of how to effectively assist in completing the detection and maintenance of the battery pack.
In order to solve the above technical problems, an embodiment of the present disclosure provides a battery pack detection system, where the system includes a cloud server, a terminal device, a scanning device, and a detection device; the scanning equipment is used for acquiring a battery pack identifier of the target battery pack and sending the battery pack identifier to the terminal equipment; the terminal equipment is used for sending the battery pack model parameters corresponding to the battery pack identifications to the cloud server; the detection guide data corresponding to the battery pack model parameters and fed back by the cloud server are displayed; the detection guide data comprises a battery pack detection course; the cloud server is used for searching detection guide data corresponding to the battery pack model parameters; the detection device is used for detecting the target battery pack based on the battery pack detection course and acquiring detection parameters corresponding to the target battery pack.
In some embodiments, the target battery pack has a battery pack model bar code thereon; the scanning equipment is used for scanning the battery pack model bar code to obtain a corresponding battery pack identifier.
In some embodiments, the detection guidance data fed back by the cloud server further includes a battery pack parameter standard; and the terminal equipment is also used for outputting the detection result of the target battery pack according to the comparison result of the battery pack parameter standard and the detection parameter.
Based on the above embodiment, the cloud server is further configured to receive a detection result sent by the terminal device, and send a maintenance scheme corresponding to the abnormal detection result to the terminal device when the detection result is an abnormal detection result; the terminal device is used for displaying the maintenance scheme so that an operator repairs the target battery pack based on the maintenance scheme.
In some embodiments, the terminal device is further configured to send the detection parameter to a cloud server; the cloud server is used for comparing the detection parameters with battery pack parameter standards to obtain detection results corresponding to the target battery packs; and the terminal equipment is also used for sending a maintenance scheme corresponding to the abnormal detection result to the terminal equipment under the condition that the detection result is the abnormal detection result, so that the terminal equipment displays the maintenance scheme to an operator.
In some embodiments, the cloud server is further configured to determine a type parameter of the battery pack type parameter when the corresponding detection guidance data does not exist in the battery pack type parameter, and feed back the detection guidance data corresponding to the type parameter to the terminal device.
In some embodiments, the terminal device is further configured to send a battery pack identifier to a cloud server; the cloud server is used for determining the authorization state of the battery pack identifier, searching the diagnosis data corresponding to the battery pack identifier under the condition that the authorization state is the authorized state, and further sending the diagnosis data and/or the maintenance scheme corresponding to the diagnosis data to the terminal equipment.
In some embodiments, the detection device comprises at least one connection harness; the battery pack detection course comprises a connection state of an interface of a connection harness on the detection device and the target battery pack and/or a battery pack detection step; the battery pack detection course includes at least one of a text course, a picture course, a video course, and a voice course.
The embodiment of the specification also provides a battery pack detection method which is applied to the terminal equipment; the method comprises the following steps: after receiving a battery pack identifier of a target battery pack, determining a battery pack model parameter corresponding to the battery pack identifier; the battery pack model parameters are sent to a cloud server, so that the cloud server feeds back detection guide data corresponding to the battery pack model parameters; the detection guide data comprises a battery pack detection course; and displaying the battery pack detection course to an operator so that the operator can detect the target battery pack based on the battery pack detection course.
The embodiment of the specification also provides a battery pack detection method which is applied to the cloud server; the method comprises the following steps: receiving a battery pack model parameter sent by terminal equipment; the battery pack model parameters are determined by the terminal equipment according to the received battery pack identifiers corresponding to the target battery packs; searching detection guide data corresponding to the battery pack model parameters; the detection guide data comprises a battery pack detection course; and sending the detection guide data to a terminal device so that the terminal device displays the battery pack detection course to an operator, and the operator detects the target battery pack based on the battery pack detection course.
Based on the technical scheme disclosed in the above description embodiment, it can be seen that the battery pack detection system stores detection guiding data corresponding to different battery pack model parameters in the cloud server, so that after the terminal side obtains the battery pack identifier of the battery pack through the scanning device, the terminal device determines the battery pack model parameter corresponding to the battery pack identifier and sends the battery pack model parameter to the cloud server, and then the detection guiding data corresponding to the battery pack model parameter can be found. The terminal equipment can display the detection guide data, complete the detection of the target battery pack through the detection equipment based on the battery pack detection course in the detection guide data, further acquire the detection parameters corresponding to the target battery pack, and complete the detection process. According to the system, the station staff can directly acquire the corresponding detection course from the cloud according to the identification on the battery pack, so that the station staff is effectively guided to finish the detection and maintenance of the battery pack, the maintenance process of the station for the battery pack is facilitated, and the maintenance and detection of the staff on various battery packs can be effectively performed.
Drawings
In order to more clearly illustrate the embodiments of the present description or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments described in the present description, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a block diagram of a battery pack detection system according to an embodiment of the present disclosure;
fig. 2 is a schematic structural diagram of a battery pack detection system at one side of a terminal device according to an embodiment of the present disclosure;
fig. 3 is a flowchart of a battery pack detection method according to an embodiment of the present disclosure;
fig. 4 is a flowchart of a battery pack detection method according to an embodiment of the present disclosure.
Detailed Description
The technical solutions of the embodiments of the present specification will be clearly and completely described below with reference to the drawings in the embodiments of the present specification, and it is apparent that the described embodiments are only some embodiments of the present specification, not all embodiments. All other embodiments, which can be made by one of ordinary skill in the art without undue burden from the present disclosure, are intended to be within the scope of the present disclosure.
In order to solve the above technical problems, embodiments of the present disclosure provide a battery pack detection system. As shown in fig. 1, the battery pack detection system 100 includes a scanning device 110, a terminal device 120, a cloud server 130, and a detection device 140.
The scanning device 110 is mainly configured to obtain a battery pack identifier of the target battery pack. In practical application, a corresponding identifier is generally attached to the battery pack, and the battery pack identifier can be used for distinguishing different battery packs and also can be used for identifying the type of the battery pack. The scanning device 110 scans the battery pack identification so that the terminal device 120 can determine the type of the target battery pack by reading the battery pack identification. In some examples, the battery pack identification includes one of a battery pack model bar code, a battery pack model two-dimensional code, a battery pack model number. The type of battery pack or the identity of a particular individual battery pack can be determined by scanning the above-described type of battery pack identity.
The scanning device 110 may have a corresponding scanning module, which may obtain the battery pack identifier of the target battery pack through photographing or other sensing manners.
In some embodiments, the scanning device 110 may be a barcode scanner, which can acquire the corresponding battery pack identifier by directly acquiring an image of the battery pack identifier or performing infrared sensing on the battery pack identifier. For example, a battery pack type bar code is arranged on the target battery pack, and the battery pack type bar code can be in the form of a bar code or other types of bar codes. After the code scanning gun acquires the image of the battery pack type bar code, the battery pack identification corresponding to the battery pack type bar code can be determined according to a preset identification rule.
In practical applications, the scanning device 110 may also acquire the battery pack identifier in other manners, for example, an RFID tag is set on the target battery pack to record the battery pack identifier, so as to complete the acquisition of the battery pack identifier by means of radio frequency identification. The specific manner of scanning the battery pack identifier may be set based on the actual application requirement, which is not described herein.
In addition, the scanning device 110 and the terminal device 120 have a corresponding communication relationship, and the scanning device 110 can send the scanned battery pack identifier to the terminal device 120 in a corresponding manner, so that the terminal device 120 can complete subsequent operations based on the received battery pack identifier.
The terminal device 120 may include a display, memory, and a processor.
In this embodiment, the memory may be implemented in any suitable manner. For example, the memory may be a read-only memory, a mechanical hard disk, a solid state hard disk, or a usb disk. The memory may be used to store computer program instructions and correspondence between battery pack identification and battery pack model parameters.
In this embodiment, the processor may be implemented in any suitable manner. For example, the processor may take the form of, for example, a microprocessor or processor, and a computer-readable medium storing computer-readable program code (e.g., software or firmware) executable by the (micro) processor, logic gates, switches, an application specific integrated circuit (Application Specific Integrated Circuit, ASIC), a programmable logic controller, and an embedded microcontroller, among others. The processor may execute the computer program instructions, identify a battery pack model parameter corresponding to the battery pack identifier, communicate with the cloud server 130, receive detection guidance data fed back by the cloud server 130, and control the display to display the corresponding detection guidance data.
The display is used for displaying corresponding text, image or video content. In this embodiment of the present disclosure, the display may be used to display corresponding detection guidance data, so as to guide the staff to complete the detection operation on the battery pack.
After the terminal device 120 receives the battery pack identifier sent by the scanning device 110, the battery pack model parameter corresponding to the battery pack identifier can be determined according to the corresponding conversion relationship between the battery pack identifier stored by the terminal device and the battery pack model parameter. The battery pack model parameters are used for indicating the specific model types of the battery packs, and as different battery packs of different types possibly have different detection and maintenance modes, and different battery packs of the same type generally correspond to the common detection and maintenance modes, the data for guiding the detection and maintenance of the battery packs can be effectively determined by acquiring the battery pack model parameters.
The cloud server 130 stores detection guidance data of different types of battery packs. The detection guidance data includes a battery pack detection tutorial for detecting a battery pack. The battery pack detection tutorial is used for showing a specific process of detecting the battery pack, and may include, for example, a connection condition for the battery pack, a test condition after connection, and a manipulation condition of the corresponding detection device 140. The content of the specific battery pack detection course may be set based on the actual application, and will not be described herein.
The battery pack detection course may have different presentation forms, such as a text course, a picture course, a video course, a voice course, etc., or may be a combination of courses of different forms.
The cloud server 130 stores a correspondence between the battery pack model parameter and the corresponding detection guide data, and according to the received battery pack model parameter, the corresponding detection guide data can be found by using the correspondence, and then the found detection guide data is fed back to the terminal device 120.
In some embodiments, communication can be also implemented between the terminal device 120 and the detection device 140, after receiving the detection guide data, the terminal device 120 can directly send a corresponding control signal to the detection device 140 according to the battery pack detection course therein, so as to control the detection module or the measuring instrument included in the detection device 140 to detect the battery pack to be detected, and directly obtain the corresponding detection parameters through the detection device 140, so that an operator does not need to test according to steps by himself, convenience in the measurement process is ensured, and thus, the test can be conveniently and effectively performed directly and the corresponding detection parameters are obtained.
The detection device 140 may be a device specialized for performing battery pack detection, for example, may include a test instrument such as a multimeter, a functional module specifically designed for performing battery pack testing, and the like. In addition, the detecting device 140 may include at least one connection harness, and different connection harnesses may be used to obtain corresponding parameters or to connect the battery pack into the circuit for testing. Accordingly, the battery pack detection tutorial presented may include detecting the connection status of the interface of the connection harness on the device 140 with the target battery pack, ensuring that the harness is properly connected for effective detection of the battery pack.
After the detection device 140 is operatively connected to the battery pack, the detection parameters corresponding to the target battery pack may be acquired. The detection parameter may be a relevant parameter of the target battery pack under different working conditions, for example, may be different parameters of voltage, current, resistance, temperature and the like of the target battery pack. The specific detection parameters may be set based on the function of the detection device 140 itself and the requirements of the detection, which is not limited.
As shown in fig. 2, a schematic structure of the terminal device 120 and the detecting device 140 are combined. In this example, the detection device 140 includes a programmable power supply, a programmable multimeter, an insulation voltage withstand meter, a battery internal resistance meter, and the like. These devices may be connected to the battery pack to be tested as desired. The terminal device 120 includes a display for displaying the contents of the inspection guide course, the inspection course, the maintenance scheme, and the like, and an industrial personal computer. The industrial personal computer may be connected to the detection device 140 in addition to the communication with the scanning device 110 and the cloud server 130 based on the foregoing description. After the corresponding battery pack detection course is obtained, the corresponding instruments in the detection equipment 140 can be controlled directly according to the battery pack detection course to realize the detection of the battery pack to be detected, and corresponding detection parameters can be obtained directly through the instruments, so that the detection process of the battery pack to be detected is facilitated.
The specific type and specific details of the detection device 140 may be set according to practical applications, and the main purpose is to detect the battery pack based on the requirement to obtain the detection parameters, which are not described herein.
After the detection parameters are obtained, the analysis can be performed according to the detection parameters to determine whether the battery pack is normal or not, and the battery pack is maintained when the battery pack is abnormal.
In some embodiments, the analysis of the detection parameters may be performed by the terminal device 120. Specifically, after receiving the battery pack model parameter, the cloud server 130 may further include a battery pack parameter standard in the fed back detection guiding data. The battery pack parameter criteria are used to indicate the range of the corresponding parameters of the target battery pack under normal conditions.
After receiving the detection parameters acquired by the detection device 140, the terminal device 120 may directly compare the detection parameters with the battery pack parameter standard, and output a corresponding detection result according to the comparison result. When the detection parameter meets the limit of the battery pack parameter standard, the target battery pack is indicated to be normal, and the output detection result can be a normal detection result. If the detected parameter does not meet the limit of the battery pack parameter standard, for example, a certain parameter exceeds the range of the battery pack parameter standard, the output detection result may be an abnormal detection result, which is used for indicating that the battery pack is abnormal.
Preferably, for different detection parameters with abnormality, different types of abnormality detection results can be reflected in the detection results, so as to better determine the fault type of the target battery pack and the corresponding problems.
In addition, the terminal device 120 may also send the detection result to the cloud server 130. The cloud server 130 may store the current detection result. In the case that the detection result is an abnormal detection result, the cloud server 130 may also feed back a maintenance scheme corresponding to the abnormal detection result to the terminal device 120 based on a pre-stored scheme. The specifics of the repair plan may correspond to problems in the anomaly detection results.
The terminal device 120 may display the repair scheme so that an operator can repair the target battery pack based on the repair scheme. The maintenance solution may also have different forms, for example in the form of text, pictures, video, voice, etc. In practical application, different types of maintenance schemes can be displayed according to requirements.
In addition, in practical application, corresponding maintenance equipment can be additionally arranged, and the maintenance module can be integrated in the detection equipment 140, so that the maintenance equipment is unified, and the detection and maintenance of the battery pack can be effectively completed according to the maintenance course.
In some embodiments, the cloud server 130 may not feedback the battery pack parameter criteria. After acquiring the detection parameters sent by the detection device 140, the terminal device 120 may directly send the detection parameters to the cloud server 130. The cloud server 130 further compares the corresponding battery pack parameter standard with the detection parameter to obtain the detection result of the target battery pack.
The cloud server 130 may send the detection result to the terminal device 120, so that an operator may learn the detection result for the target battery pack.
Similarly, if the detection result is an abnormal detection result, the cloud server 130 may also send a corresponding maintenance scheme to the terminal device 120. The specific process of searching for the maintenance scheme and feeding back the terminal device 120 may refer to the above description, and will not be repeated here.
In practical applications, due to the variety of battery pack models, there may be a case where detection guidance data corresponding to the battery pack model parameters is not stored on the cloud server 130. For this case, the cloud server 130 may look up the same type model parameter as the battery pack model parameter. The same type of model parameter may be the same as the target battery pack specification, the same lot, or the same manufacturer of battery packs. In addition, the battery pack model parameters can have corresponding format limitations, and corresponding model parameters of the same type can be directly judged through the format analysis result of the battery pack model parameters. In practical application, the parameters of the same type and model can be determined according to specific conditions, and are not described herein.
After the parameters of the same type are found, the detection guide data corresponding to the parameters of the same type can be fed back to the terminal device 120, so that the detection of the target battery pack can be effectively completed.
In some embodiments, the terminal device 120 may send the battery pack identifier to the cloud server 130 while sending the battery pack model parameter to the cloud server 130. In the embodiment, the battery pack identifier may be used to distinguish between different battery packs, and accordingly, the cloud server 130 may search for the corresponding authorization status according to the battery pack identifier. The authorization status is used to indicate whether the cloud server 130 is allowed to store the historical detection parameters of the target battery pack.
Accordingly, in the case that the authorized state is the authorized state, the diagnostic data may be found from the historical detection parameters of the target battery pack. The diagnostic data is data that is detected by other devices on the target battery pack and uploaded to the cloud server 130, and preferably, the diagnostic data can be defined as a detection parameter within a certain time range in the near term. The cloud server 130 may directly feed back the detection parameters, so that an operator directly determines the detection result of the target battery pack based on the detection parameters, thereby omitting the step of repeatedly executing the detection operation.
Preferably, when the diagnosis data is found and belongs to the abnormal detection result, a maintenance scheme corresponding to the diagnosis data may be further sent to the terminal device 120, so as to ensure effective maintenance of the target battery pack.
Based on the description of the above embodiment, it can be seen that, by storing the detection guiding data corresponding to the parameters of different battery pack types in the cloud server, the battery pack detection system enables the terminal side to determine the parameters of the battery pack type corresponding to the battery pack identifier through the terminal device and send the parameters to the cloud server after obtaining the battery pack identifier of the battery pack through the scanning device, so that the detection guiding data corresponding to the parameters of the battery pack type can be obtained. The terminal equipment can display the detection guide data, complete the detection of the target battery pack through the detection equipment based on the battery pack detection course in the detection guide data, further acquire the detection parameters corresponding to the target battery pack, and complete the detection process. According to the system, the station staff can directly acquire the corresponding detection course from the cloud according to the identification on the battery pack, so that the station staff is effectively guided to finish the detection and maintenance of the battery pack, the maintenance process of the station for the battery pack is facilitated, and the maintenance and detection of the staff on various battery packs can be effectively performed.
Based on the above battery pack detection system, the embodiment of the present disclosure further provides a battery pack detection method. The execution main body of the battery pack detection method is the terminal equipment. As shown in fig. 3, the battery pack detection method includes the following specific implementation steps.
S310: and after receiving the battery pack identification of the target battery pack, determining the battery pack model parameter corresponding to the battery pack identification.
The battery pack identification can be used for distinguishing different battery packs and can also be used for identifying the types of the battery packs. In some examples, the battery pack identification includes one of a battery pack model bar code, a battery pack model two-dimensional code, a battery pack model number. The type of battery pack or the identity of a particular individual battery pack can be determined by scanning the above-described type of battery pack identity.
After the terminal equipment receives the battery pack identification sent by the scanning equipment, the battery pack model parameter corresponding to the battery pack identification can be determined according to the corresponding conversion relation between the battery pack identification stored by the terminal equipment and the battery pack model parameter. The battery pack model parameters are used for indicating the specific model types of the battery packs, and as different battery packs of different types possibly have different detection and maintenance modes, and different battery packs of the same type generally correspond to the common detection and maintenance modes, the data for guiding the detection and maintenance of the battery packs can be effectively determined by acquiring the battery pack model parameters.
S320: the battery pack model parameters are sent to a cloud server, so that the cloud server feeds back detection guide data corresponding to the battery pack model parameters; the detection guide data comprises a battery pack detection course.
The cloud server stores detection guide data of different types of battery packs. The detection guidance data includes a battery pack detection tutorial for detecting a battery pack. The battery pack detection course is used for showing a specific process of detecting the battery pack, and may include, for example, a wiring condition for the battery pack, a testing condition after wiring, and a manipulation condition of a corresponding detection device. The content of the specific battery pack detection course may be set based on the actual application, and will not be described herein.
The battery pack detection course may have different presentation forms, such as a text course, a picture course, a video course, a voice course, etc., or may be a combination of courses of different forms.
The cloud server stores the corresponding relation between the battery pack model parameters and the corresponding detection guide data, and can find the corresponding detection guide data by utilizing the corresponding relation according to the received battery pack model parameters, so that the found detection guide data is fed back to the terminal equipment.
S330: and displaying the battery pack detection course to an operator so that the operator can detect the target battery pack based on the battery pack detection course.
The detection device may be a device specialized for performing battery pack detection, for example, may include a test instrument such as a multimeter, a functional module specifically designed for performing battery pack testing, and the like. In addition, the detection device may include at least one connection harness, and different connection harnesses may be used to obtain corresponding parameters or to access the battery pack into the circuit for testing. Correspondingly, the displayed battery pack detection course can comprise the connection condition of the interface of the connection harness on the detection equipment and the target battery pack, and the harness is ensured to be connected correctly so as to detect the battery pack effectively.
After the detection device is operatively connected to the battery pack, detection parameters corresponding to the target battery pack may be obtained. The detection parameter may be a relevant parameter of the target battery pack under different working conditions, for example, may be different parameters of voltage, current, resistance, temperature and the like of the target battery pack. Specific detection parameters can be set based on the functions of the detection device itself and the requirements of detection, and are not limited thereto.
After the detection parameters are obtained, the analysis can be performed according to the detection parameters to determine whether the battery pack is normal or not, and the battery pack is maintained when the battery pack is abnormal.
In some embodiments, the analysis of the detection parameters may be performed by the terminal device. Specifically, after the cloud server receives the battery pack model parameter, the feedback detection guide data may further include a battery pack parameter standard. The battery pack parameter criteria are used to indicate the range of the corresponding parameters of the target battery pack under normal conditions.
After receiving the detection parameters acquired by the detection equipment, the terminal equipment can directly compare the detection parameters with the battery pack parameter standards and output corresponding detection results according to the comparison results. When the detection parameter meets the limit of the battery pack parameter standard, the target battery pack is indicated to be normal, and the output detection result can be a normal detection result. If the detected parameter does not meet the limit of the battery pack parameter standard, for example, a certain parameter exceeds the range of the battery pack parameter standard, the output detection result may be an abnormal detection result, which is used for indicating that the battery pack is abnormal.
Preferably, for different detection parameters with abnormality, different types of abnormality detection results can be reflected in the detection results, so as to better determine the fault type of the target battery pack and the corresponding problems.
In addition, the terminal device can also send the detection result to the cloud server. The cloud server can store the detection result. And under the condition that the detection result is an abnormal detection result, the cloud server can also feed back a maintenance scheme corresponding to the abnormal detection result to the terminal equipment based on a pre-stored scheme. The specifics of the repair plan may correspond to problems in the anomaly detection results.
The terminal device may display the repair plan so that an operator can repair the target battery pack based on the repair plan. The maintenance solution may also have different forms, for example in the form of text, pictures, video, voice, etc. In practical application, different types of maintenance schemes can be displayed according to requirements.
In addition, in practical application, can additionally set up corresponding maintenance equipment, also can be with maintenance module integration in check out test set for maintenance equipment looks unification, thereby can accomplish the detection maintenance to the battery package according to the maintenance course effectively.
In some embodiments, the cloud server may not feedback the battery pack parameter criteria. After the terminal equipment acquires the detection parameters sent by the detection equipment, the detection parameters can be directly sent to the cloud server. And the cloud server further compares the corresponding battery pack parameter standard with the detection parameter to obtain a detection result of the target battery pack.
The cloud server can send the detection result to the terminal device, so that an operator can acquire the detection result aiming at the target battery pack.
Similarly, the cloud server may also send a corresponding maintenance scheme to the terminal device when the detection result is an abnormal detection result. The specific process of searching for the maintenance scheme and feeding back the terminal device may refer to the above description, and will not be repeated here.
In practical applications, because of the variety of battery pack models, there may be a case where detection guidance data corresponding to the battery pack model parameters is not stored on the cloud server. For this case, the cloud server may find the same type model parameter as the battery pack model parameter. The same type of model parameter may be the same as the target battery pack specification, the same lot, or the same manufacturer of battery packs. In addition, the battery pack model parameters can have corresponding format limitations, and corresponding model parameters of the same type can be directly judged through the format analysis result of the battery pack model parameters. In practical application, the parameters of the same type and model can be determined according to specific conditions, and are not described herein.
After the parameters of the same type are found, detection guide data corresponding to the parameters of the same type can be fed back to the terminal equipment, so that the detection of the target battery pack is effectively completed.
In some embodiments, the terminal device may send the battery pack identifier to the cloud server while sending the battery pack model parameter to the cloud server. In the embodiment, the battery pack identifier may be used to distinguish different battery packs, and accordingly, the cloud server may search for a corresponding authorization status according to the battery pack identifier. The authorization status is used for indicating whether the cloud server is allowed to store the historical detection parameters of the target battery pack.
Accordingly, in the case that the authorized state is the authorized state, the diagnostic data may be found from the historical detection parameters of the target battery pack. The diagnostic data is data that is obtained by detecting the target battery pack by other devices and uploading the detected data to the cloud server, and preferably, the diagnostic data can be defined as detection parameters within a certain time range in the near term. The cloud server can directly feed back the detection parameters, so that an operator can directly determine the detection result of the target battery pack based on the detection parameters, and the step of repeatedly executing the detection operation is omitted.
Preferably, when the diagnosis data is found and belongs to the abnormal detection result, a maintenance scheme corresponding to the diagnosis data can be sent to the terminal equipment, so that effective maintenance of the target battery pack is ensured.
Based on the above battery pack detection system, the embodiment of the present disclosure further provides a battery pack detection method. The execution main body of the battery pack detection method is the cloud server. As shown in fig. 4, the battery pack detection method includes the following specific implementation steps.
S410: receiving a battery pack model parameter sent by terminal equipment; and the battery pack model parameter is determined by the terminal equipment according to the received battery pack identifier corresponding to the target battery pack.
The battery pack identification can be used for distinguishing different battery packs and can also be used for identifying the types of the battery packs. In some examples, the battery pack identification includes one of a battery pack model bar code, a battery pack model two-dimensional code, a battery pack model number. The type of battery pack or the identity of a particular individual battery pack can be determined by scanning the above-described type of battery pack identity.
After the terminal equipment receives the battery pack identification sent by the scanning equipment, the battery pack model parameter corresponding to the battery pack identification can be determined according to the corresponding conversion relation between the battery pack identification stored by the terminal equipment and the battery pack model parameter. The battery pack model parameters are used for indicating the specific model types of the battery packs, and as different battery packs of different types possibly have different detection and maintenance modes, and different battery packs of the same type generally correspond to the common detection and maintenance modes, the data for guiding the detection and maintenance of the battery packs can be effectively determined by acquiring the battery pack model parameters.
S420: searching detection guide data corresponding to the battery pack model parameters; the detection guide data comprises a battery pack detection course.
The cloud server stores detection guide data of different types of battery packs. The detection guidance data includes a battery pack detection tutorial for detecting a battery pack. The battery pack detection course is used for showing a specific process of detecting the battery pack, and may include, for example, a wiring condition for the battery pack, a testing condition after wiring, and a manipulation condition of a corresponding detection device. The content of the specific battery pack detection course may be set based on the actual application, and will not be described herein.
The battery pack detection course may have different presentation forms, such as a text course, a picture course, a video course, a voice course, etc., or may be a combination of courses of different forms.
The cloud server stores the corresponding relation between the battery pack model parameters and the corresponding detection guide data, and can find the corresponding detection guide data by utilizing the corresponding relation according to the received battery pack model parameters, so that the found detection guide data is fed back to the terminal equipment.
S430: and sending the detection guide data to a terminal device so that the terminal device displays the battery pack detection course to an operator, and the operator detects the target battery pack based on the battery pack detection course.
The detection device may be a device specialized for performing battery pack detection, for example, may include a test instrument such as a multimeter, a functional module specifically designed for performing battery pack testing, and the like. In addition, the detection device may include at least one connection harness, and different connection harnesses may be used to obtain corresponding parameters or to access the battery pack into the circuit for testing. Correspondingly, the displayed battery pack detection course can comprise the connection condition of the interface of the connection harness on the detection equipment and the target battery pack, and the harness is ensured to be connected correctly so as to detect the battery pack effectively.
After the detection device is operatively connected to the battery pack, detection parameters corresponding to the target battery pack may be obtained. The detection parameter may be a relevant parameter of the target battery pack under different working conditions, for example, may be different parameters of voltage, current, resistance, temperature and the like of the target battery pack. Specific detection parameters can be set based on the functions of the detection device itself and the requirements of detection, and are not limited thereto.
After the detection parameters are obtained, the analysis can be performed according to the detection parameters to determine whether the battery pack is normal or not, and the battery pack is maintained when the battery pack is abnormal.
In some embodiments, the analysis of the detection parameters may be performed by the terminal device. Specifically, after the cloud server receives the battery pack model parameter, the feedback detection guide data may further include a battery pack parameter standard. The battery pack parameter criteria are used to indicate the range of the corresponding parameters of the target battery pack under normal conditions.
After receiving the detection parameters acquired by the detection equipment, the terminal equipment can directly compare the detection parameters with the battery pack parameter standards and output corresponding detection results according to the comparison results. When the detection parameter meets the limit of the battery pack parameter standard, the target battery pack is indicated to be normal, and the output detection result can be a normal detection result. If the detected parameter does not meet the limit of the battery pack parameter standard, for example, a certain parameter exceeds the range of the battery pack parameter standard, the output detection result may be an abnormal detection result, which is used for indicating that the battery pack is abnormal.
Preferably, for different detection parameters with abnormality, different types of abnormality detection results can be reflected in the detection results, so as to better determine the fault type of the target battery pack and the corresponding problems.
In addition, the terminal device can also send the detection result to the cloud server. The cloud server can store the detection result. And under the condition that the detection result is an abnormal detection result, the cloud server can also feed back a maintenance scheme corresponding to the abnormal detection result to the terminal equipment based on a pre-stored scheme. The specifics of the repair plan may correspond to problems in the anomaly detection results.
The terminal device may display the repair plan so that an operator can repair the target battery pack based on the repair plan. The maintenance solution may also have different forms, for example in the form of text, pictures, video, voice, etc. In practical application, different types of maintenance schemes can be displayed according to requirements.
In addition, in practical application, can additionally set up corresponding maintenance equipment, also can be with maintenance module integration in check out test set for maintenance equipment looks unification, thereby can accomplish the detection maintenance to the battery package according to the maintenance course effectively.
In some embodiments, the cloud server may not feedback the battery pack parameter criteria. After the terminal equipment acquires the detection parameters sent by the detection equipment, the detection parameters can be directly sent to the cloud server. And the cloud server further compares the corresponding battery pack parameter standard with the detection parameter to obtain a detection result of the target battery pack.
The cloud server can send the detection result to the terminal device, so that an operator can acquire the detection result aiming at the target battery pack.
Similarly, the cloud server may also send a corresponding maintenance scheme to the terminal device when the detection result is an abnormal detection result. The specific process of searching for the maintenance scheme and feeding back the terminal device may refer to the above description, and will not be repeated here.
In practical applications, because of the variety of battery pack models, there may be a case where detection guidance data corresponding to the battery pack model parameters is not stored on the cloud server. For this case, the cloud server may find the same type model parameter as the battery pack model parameter. The same type of model parameter may be the same as the target battery pack specification, the same lot, or the same manufacturer of battery packs. In addition, the battery pack model parameters can have corresponding format limitations, and corresponding model parameters of the same type can be directly judged through the format analysis result of the battery pack model parameters. In practical application, the parameters of the same type and model can be determined according to specific conditions, and are not described herein.
After the parameters of the same type are found, detection guide data corresponding to the parameters of the same type can be fed back to the terminal equipment, so that the detection of the target battery pack is effectively completed.
In some embodiments, the terminal device may send the battery pack identifier to the cloud server while sending the battery pack model parameter to the cloud server. In the embodiment, the battery pack identifier may be used to distinguish different battery packs, and accordingly, the cloud server may search for a corresponding authorization status according to the battery pack identifier. The authorization status is used for indicating whether the cloud server is allowed to store the historical detection parameters of the target battery pack.
Accordingly, in the case that the authorized state is the authorized state, the diagnostic data may be found from the historical detection parameters of the target battery pack. The diagnostic data is data that is obtained by detecting the target battery pack by other devices and uploading the detected data to the cloud server, and preferably, the diagnostic data can be defined as detection parameters within a certain time range in the near term. The cloud server can directly feed back the detection parameters, so that an operator can directly determine the detection result of the target battery pack based on the detection parameters, and the step of repeatedly executing the detection operation is omitted.
Preferably, when the diagnosis data is found and belongs to the abnormal detection result, a maintenance scheme corresponding to the diagnosis data can be sent to the terminal equipment, so that effective maintenance of the target battery pack is ensured.
While the process flows described above include a plurality of operations occurring in a particular order, it should be apparent that the processes may include more or fewer operations, which may be performed sequentially or in parallel (e.g., using a parallel processor or a multi-threaded environment).
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the specification. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, 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 specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In one typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include volatile memory in a computer-readable medium, random Access Memory (RAM) and/or nonvolatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of computer-readable media.
Computer readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of storage media for a computer include, but are not limited to, phase change memory (PRAM), static Random Access Memory (SRAM), dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium, which can be used to store information that can be accessed by a computing device. Computer-readable media, as defined herein, does not include transitory computer-readable media (transmission media), such as modulated data signals and carrier waves.
It will be appreciated by those skilled in the art that embodiments of the present description may be provided as a method, system, or computer program product. Accordingly, the present specification embodiments may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present description embodiments may take the form of a computer program product on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) having computer-usable program code embodied therein.
The present embodiments may be described in the general context of computer-executable instructions, such as program modules, being executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform particular tasks or implement particular abstract data types. The embodiments of the specification may also be practiced in distributed computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules may be located in both local and remote computer storage media including memory storage devices.
In this specification, each embodiment is described in a progressive manner, and identical and similar parts of each embodiment are all referred to each other, and each embodiment mainly describes differences from other embodiments. In particular, for system embodiments, since they are substantially similar to method embodiments, the description is relatively simple, as relevant to see a section of the description of method embodiments. In the description of the present specification, a description referring to terms "one embodiment," "some embodiments," "examples," "specific examples," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the embodiments of the present specification. In this specification, schematic representations of the above terms are not necessarily directed to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, the different embodiments or examples described in this specification and the features of the different embodiments or examples may be combined and combined by those skilled in the art without contradiction.
The foregoing is merely exemplary of the present application and is not intended to limit the present application. Various modifications and changes may be made to the present application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc. which are within the spirit and principles of the present application are intended to be included within the scope of the claims of the present application.

Claims (10)

1. The battery pack detection system is characterized by comprising a cloud server, terminal equipment, scanning equipment and detection equipment;
the scanning equipment is used for acquiring a battery pack identifier of the target battery pack and sending the battery pack identifier to the terminal equipment;
the terminal equipment is used for sending the battery pack model parameters corresponding to the battery pack identifications to the cloud server; the detection guide data corresponding to the battery pack model parameters and fed back by the cloud server are displayed; the detection guide data comprises a battery pack detection course;
the cloud server is used for searching detection guide data corresponding to the battery pack model parameters;
the detection device is used for detecting the target battery pack based on the battery pack detection course and acquiring detection parameters corresponding to the target battery pack.
2. The system of claim 1, wherein the battery pack identification comprises one of a battery pack model bar code, a battery pack model two-dimensional code, a battery pack model number.
3. The system of claim 1, wherein the detection guidance data fed back by the cloud server further comprises a battery pack parameter standard; and the terminal equipment is also used for outputting the detection result of the target battery pack according to the comparison result of the battery pack parameter standard and the detection parameter.
4. The system of claim 3, wherein the cloud server is further configured to receive a detection result sent by the terminal device, and send a maintenance scheme corresponding to the abnormality detection result to the terminal device if the detection result is an abnormality detection result;
the terminal device is used for displaying the maintenance scheme so that an operator repairs the target battery pack based on the maintenance scheme.
5. The system of claim 1, wherein the terminal device is further configured to send the detection parameter to a cloud server;
the cloud server is used for comparing the detection parameters with battery pack parameter standards to obtain detection results corresponding to the target battery packs; and the terminal equipment is also used for sending a maintenance scheme corresponding to the abnormal detection result to the terminal equipment under the condition that the detection result is the abnormal detection result, so that the terminal equipment displays the maintenance scheme to an operator.
6. The system of claim 1, wherein the cloud server is further configured to determine a type of model parameter of the battery pack model parameter if the corresponding detection guidance data does not exist in the battery pack model parameter, and to feed back the detection guidance data corresponding to the type of model parameter to the terminal device.
7. The system of claim 1, wherein the terminal device is further configured to send a battery pack identification to a cloud server;
the cloud server is used for determining the authorization state of the battery pack identifier, searching the diagnosis data corresponding to the battery pack identifier under the condition that the authorization state is the authorized state, and further sending the diagnosis data and/or the maintenance scheme corresponding to the diagnosis data to the terminal equipment.
8. The system of claim 1, wherein the detection device comprises at least one connection harness; the battery pack detection course comprises a connection state of an interface of a connection harness on the detection device and the target battery pack and/or a battery pack detection step; the battery pack detection course includes at least one of a text course, a picture course, a video course, and a voice course.
9. The battery pack detection method is characterized by being applied to terminal equipment; the method comprises the following steps:
after receiving a battery pack identifier of a target battery pack, determining a battery pack model parameter corresponding to the battery pack identifier;
the battery pack model parameters are sent to a cloud server, so that the cloud server feeds back detection guide data corresponding to the battery pack model parameters; the detection guide data comprises a battery pack detection course;
and displaying the battery pack detection course to an operator so that the operator can detect the target battery pack based on the battery pack detection course.
10. The battery pack detection method is characterized by being applied to a cloud server; the method comprises the following steps:
receiving a battery pack model parameter sent by terminal equipment; the battery pack model parameters are determined by the terminal equipment according to the received battery pack identifiers corresponding to the target battery packs;
searching detection guide data corresponding to the battery pack model parameters; the detection guide data comprises a battery pack detection course;
and sending the detection guide data to a terminal device so that the terminal device displays the battery pack detection course to an operator, and the operator detects the target battery pack based on the battery pack detection course.
CN202310710929.2A 2023-06-15 2023-06-15 Battery pack detection system and method Pending CN116520156A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117613431A (en) * 2024-01-24 2024-02-27 广州鑫虹兴电子有限公司 Storage battery detection and online repair method and system

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117613431A (en) * 2024-01-24 2024-02-27 广州鑫虹兴电子有限公司 Storage battery detection and online repair method and system
CN117613431B (en) * 2024-01-24 2024-04-05 广州鑫虹兴电子有限公司 Storage battery detection and online repair method and system

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