WO2023207403A1

WO2023207403A1 - Traction battery data stream diagnosis visualization method and diagnosis device

Info

Publication number: WO2023207403A1
Application number: PCT/CN2023/081881
Authority: WO
Inventors: 戴江南; 王啸; 钟隆辉
Original assignee: 深圳市道通科技股份有限公司
Priority date: 2022-04-24
Filing date: 2023-03-16
Publication date: 2023-11-02
Also published as: CN114860835A

Abstract

A traction battery data stream diagnosis visualization method and a diagnosis device, which relate to the field of automobile maintenance. The method comprises: acquiring structural parameters of a traction battery (S1); according to the structural parameters of the traction battery, matching and generating a visual battery graph corresponding to the structural parameters of the traction battery (S2); and acquiring a data stream of the traction battery, and displaying same in the visual battery graph (S3). By means of the method, data stream patterning can be realized, dynamic data stream parameters of a traction battery can be displayed in a patterned manner, a single battery cell with an abnormal data stream in a battery module can be presented in a visual battery graph in a comparative manner, location coordinates of the corresponding faulty single battery cell can be quickly positioned by means of the abnormal data stream of the traction battery, and abnormal parameters can be displayed to give an alarm so as to assist in maintenance, such that a maintenance technician can quickly repair a fault of the battery module of an electric vehicle, and the difficulties faced by the maintenance technician are also reduced, thereby greatly improving the maintenance working efficiency.

Description

Power battery data flow diagnostic visualization method and diagnostic equipment

This application claims priority to the Chinese patent application filed with the China Patent Office on April 24, 2022, with application number 2022104493727 and the application name "Power Battery Data Flow Diagnosis Visualization Method and Diagnostic Equipment", the entire content of which is incorporated by reference. in this application.

Technical field

This application relates to the field of electric vehicle maintenance, and in particular to a power battery data flow diagnostic visualization method and diagnostic equipment.

Background technique

With the increasing awareness of global environmental protection, more and more people are choosing electric vehicles (EV) when buying cars, which makes electric vehicles more and more popular.

As the proportion of new energy vehicles gradually increases, more and more fault repairs are required for new energy vehicles. The core component of electric vehicles is the power battery. It is not uncommon for power battery failures to cause the high-voltage system to fail to work properly. A power battery is composed of hundreds or even thousands of individual cells, corresponding to hundreds or even thousands of data streams. When a maintenance technician discovers an abnormal data flow of a single cell in a power battery, he or she usually does not know the location of the corresponding single cell with abnormal data flow in the battery module, so the battery module needs to be disassembled one by one. Verification, or checking whether there are maintenance information instructions, is not conducive to the rapid repair of battery module failures of electric vehicles, which greatly increases the difficulty of repair and also affects the efficiency of maintenance technicians.

Contents of the invention

The embodiments of this application are intended to provide a power battery data flow diagnosis visualization method and diagnostic equipment, which can solve the problem of the inability to timely know the individual cells with abnormal data flow in the electric vehicle battery module in the existing electric vehicle battery modules. This situation is not conducive to the rapid repair of battery module failures of electric vehicles by maintenance technicians and reduces the efficiency of maintenance work.

In order to solve the above technical problems, the first embodiment of the present application provides a power battery data flow diagnosis and visualization method. The method includes:

Obtain the structural parameters of the power battery;

Generate a visual battery graphic corresponding to the structural parameters of the power battery according to the matching of the structural parameters of the power battery;

The data flow for obtaining the power battery is displayed in the visual battery graph.

Optionally, obtaining the structural parameters of the power battery includes querying a power battery parameter database to obtain the structural parameters of the power battery.

Optionally, the matching according to the structural parameters of the power battery generates a visual battery graphic corresponding to the structural parameters of the power battery; including:

According to the structural parameters of the power battery, a visual battery graphic corresponding to the structural parameters of the power battery is generated according to the preset matching rules.

Optionally, the visualized battery graphics include battery data flow graphics. The battery data flow graphics are used to reflect the number of battery modules, the number of single cells in series in the battery module, the highest voltage and the lowest voltage in the battery module, Data flow of voltage difference, temperature and single cell voltage.

Optionally, the preset matching rules include: presetting visual battery graphics, matching the corresponding number of visual battery graphics according to the number of battery cells included in the battery module in the power battery, and using the matched visual battery graphics Create a visual battery diagram that is visually arranged in a row-row matrix format to form a row-row matrix format.

Optionally, the data flow for obtaining the power battery is displayed in the visual battery graph; including:

Read the data stream of the power battery;

Establish a data flow mapping relationship between the data flow of the power battery and the visual battery graphics;

The battery data flow is displayed in the visual battery graph according to the data flow mapping relationship.

Optionally, establishing a data flow mapping relationship between the data flow of the power battery and the visual battery graphic includes:

The data flow mapping relationship includes a mapping relationship between a single battery cell in the battery module and a visual battery graphic in the battery data flow graphic, and a mapping relationship between the real-time status of the single battery cell and the real-time state in the visual battery graphic;

Establish a data flow mapping relationship between the data flow of the power battery and the battery data flow graph;

Establish a data flow mapping relationship between the real-time status of each single cell and its corresponding real-time status in the visual battery graph.

Optionally, displaying the battery data flow in the visual battery graphic according to the data flow mapping relationship includes:

Determine each individual cell of the power battery and its real-time status according to the read data stream of the power battery;

According to the data flow mapping relationship, the real-time status of each single cell of the power battery is displayed in the corresponding visual battery graph in the battery data flow graph.

Optionally, the method further includes: reading the data stream of the power battery according to a preset reading cycle, and dynamically refreshing and displaying the data stream in the visual battery graphic according to a preset refresh cycle.

Optionally, the method also includes:

According to the power battery model in the data stream of the power battery, obtain the actual location map of the power battery corresponding to the power battery model in the electric vehicle in the power battery parameter database;

According to the mapping relationship between the actual vehicle position diagram of the battery module and the actual location diagram of the power battery in the electric vehicle, the actual location diagram of the power battery in the electric vehicle is displayed on the battery module actual vehicle location diagram of the visual battery diagram. middle.

Accordingly, a second embodiment of the present application provides a diagnostic device, which includes at least one processor and a memory communicatively connected to the at least one processor, and the memory stores information that can be processed by the at least one processor. The instructions are executed by the at least one processor to enable the diagnostic device to execute the power battery data flow diagnostic visualization method described in the embodiment of the first aspect of this application.

Accordingly, the third embodiment of the present application provides a computer-readable storage medium that stores computer-executable instructions, and the computer-executable instructions are used to cause a computer to execute the implementation of the first aspect of the present application. The power battery data flow diagnosis visualization method described in the example.

Compared with the existing technology, the embodiments of the present application provide a power battery data flow diagnosis visualization method and diagnostic equipment. By obtaining the structural parameters of the power battery, the structural parameters of the power battery are generated according to the matching of the structural parameters of the power battery. Corresponding visual battery graphics, the data flow of the power battery is obtained and displayed in the visual battery graphics. In this way, the data flow can be graphically displayed, and the data flow of the power battery can be graphically displayed in the diagnostic instrument. The dynamic data flow parameters of the power battery can be displayed graphically, which is simple and easy to understand. When a single cell in the battery module When the data flow is abnormal, the single cells with abnormal data flow in the battery module can be compared and presented in the visual battery graphics, and the position coordinates of the corresponding faulty single cell can be quickly located through the abnormal data flow of the power battery, and can Displaying abnormal parameters and giving warnings to assist maintenance, maintenance technicians can quickly repair electric vehicle battery module failures. At the same time, it lowers the threshold for maintenance technicians, greatly improves maintenance work efficiency, and solves the problem of existing electric vehicle battery modules. It is impossible to know in time the situation of single cells with abnormal data flow in the battery modules of electric vehicles, which is not conducive to the rapid repair of battery module faults of electric vehicles by maintenance technicians and reduces the efficiency of maintenance work.

Description of drawings

One or more embodiments are exemplified by the pictures in the corresponding drawings. These illustrative illustrations do not constitute limitations to the embodiments. Elements with the same reference numerals in the drawings are represented as similar elements. Unless otherwise stated, the figures in the drawings are not intended to be limited to scale.

Figure 1 is a schematic flow chart of a power battery data flow diagnosis visualization method provided by this application;

Figure 2 is a schematic diagram of a row-column-matrix visual battery diagram provided by this application;

Figure 3 is a detailed flowchart of step S3 in Figure 1;

Figure 4 is a schematic diagram of the actual location of the power battery in the electric vehicle;

Figure 5 is a schematic structural diagram of a power battery data flow diagnosis and visualization device provided by this application;

Figure 6 is a schematic structural diagram of a diagnostic device provided by this application.

Detailed ways

In order to facilitate understanding of the present application, the present application will be described in more detail below in conjunction with the accompanying drawings and specific embodiments. It should be noted that when an element is referred to as being "secured" to another element, it can be directly on the other element, or one or more intervening elements may be present therebetween. When an element is referred to as being "connected" to another element, it can be directly connected to the other element, or there may be one or more intervening elements present therebetween. The terms "upper", "lower", "inner", "outer" and "bottom" used in this specification indicate the orientation or positional relationship based on the orientation or positional relationship shown in the drawings, and are only for the convenience of describing this invention. The application and simplified description are not intended to indicate or imply that the device or element referred to must have a specific orientation, be constructed and operate in a specific orientation, and therefore should not be construed as a limitation on the present application. Furthermore, the terms “first”, “second”, “third”, etc. are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.

Unless otherwise defined, all technical and scientific terms used in this specification have the same meaning as commonly understood by a person skilled in the technical field belonging to this application. The terms used in the description of this application are only for the purpose of describing specific embodiments and are not used to limit this application. As used in this specification, the term "and/or" includes any and all combinations of one or more of the associated listed items.

In addition, the technical features involved in different embodiments of the present application described below can be combined with each other as long as they do not conflict with each other.

In one embodiment, as shown in Figure 1, this application provides a power battery data flow diagnostic visualization method, which method includes:

S1. Obtain the structural parameters of the power battery;

S2. Generate a visual battery graphic corresponding to the structural parameters of the power battery according to the matching of the structural parameters of the power battery;

S3. Obtain the data stream of the power battery and display it in the visual battery graph.

In this embodiment, by obtaining the structural parameters of the power battery, matching the structural parameters of the power battery to generate a visual battery graphic corresponding to the structural parameters of the power battery, and obtaining the data flow of the power battery and displaying it on the visual battery in graphics. In this way, the data flow can be graphically displayed, and the data flow of the power battery can be graphically displayed in the diagnostic instrument. The dynamic data flow parameters of the power battery can be displayed graphically, which is simple and easy to understand. When a single cell in the battery module When the data flow is abnormal, the single cells with abnormal data flow in the battery module can be compared and presented in the visual battery graphics, and the position coordinates of the corresponding faulty single cell can be quickly located through the abnormal data flow of the power battery, and can Displaying abnormal parameters and giving warnings to assist maintenance, maintenance technicians can quickly repair electric vehicle battery module failures. At the same time, it lowers the threshold for maintenance technicians, greatly improves maintenance work efficiency, and solves the problem of existing electric vehicle battery modules. None It is impossible to know in time the situation of single cells with abnormal data flow in the battery modules of electric vehicles, which is not conducive to the rapid repair of battery module faults of electric vehicles by maintenance technicians and reduces the efficiency of maintenance work.

In one embodiment, in step S1, obtaining the structural parameters of the power battery includes querying a power battery parameter database to obtain the structural parameters of the power battery.

Specifically, the power battery parameter database includes: structural parameters of the power battery and single cell data flow standard values.

Wherein, the power battery parameter database is stored in the diagnostic device or in an external server. Preferably, the diagnostic equipment is a diagnostic instrument.

When the power battery parameter database is stored in the diagnostic device, the power battery parameter database is queried from the diagnostic device according to the model of the power battery or the model of the electric vehicle to obtain the structural parameters corresponding to the power battery. .

When the power battery parameter database is stored in an external server, the power battery parameter database is queried from the external server according to the model of the power battery or the model of the electric vehicle to obtain the structural parameters corresponding to the power battery. .

In one embodiment, in step S2, matching the structural parameters of the power battery generates a visual battery graphic corresponding to the structural parameters of the power battery.

Specifically, according to the structural parameters of the power battery, a visual battery graphic corresponding to the structural parameters of the power battery is generated by matching according to preset matching rules.

The visual battery graphics are displayed on the screen of the diagnostic device. The visual battery graphics include battery data flow graphics. The battery data flow graphics are used to reflect the number of battery modules, the number of single cells in series in the battery module, and the number of batteries. Data flow of the highest and lowest voltage, voltage difference (voltage difference between single cells), temperature and single cell voltage in the module. Wherein, the battery data stream refers to various operating parameters of the power battery of the electric vehicle.

Specifically, the preset matching rules include: presetting visual battery graphics, matching the corresponding number of visual battery graphics according to the number of battery cells included in the battery module in the power battery, and establishing the matched visual battery graphics Visually arrange according to the row-row matrix formula to form a visual battery diagram in the row-row matrix formula.

For example, if a battery module includes several battery cells, it will be matched with several visual battery graphics. As shown in Figure 2, the battery module includes 30 battery cells, which correspond to 30 visual battery graphics, and the matched visual battery graphics are visually arranged in a 3x 10 row and column matrix to form a 3x 10 row and column matrix. Matrix visual battery diagram. Among them, each visualized battery diagram includes battery cell parameters of temperature and voltage difference. For example, the temperature is 30.0°C and the voltage difference is 31.2mV.

In this embodiment, by matching and generating a visual battery graphic corresponding to the structural parameters of the power battery according to the preset matching rules according to the structural parameters of the power battery, each battery cell in the battery module can be matched with the structural parameters of the power battery. The visual battery graphics in the diagnostic equipment are matched one-to-one to establish a unique one-to-one relationship, so that each battery cell in the battery module can be visually displayed graphically on the diagnostic equipment.

In one embodiment, as shown in Figure 3, in step S3, the data flow for obtaining the power battery is displayed in the visual battery graph. Specifically include:

S31. Read the data stream of the power battery.

Specifically, the data stream of the power battery is read from the battery management system (Battery Management System, BMS) through the diagnostic device.

After the diagnostic device is connected to the electric vehicle, it regularly reads the data stream of the electric vehicle's power battery from the battery management system according to a preset reading cycle.

For example, the preset reading period is 1 second. The diagnostic device regularly reads from the battery management system according to a 1 second reading cycle. The battery data stream of the power battery is obtained and displayed in the visual battery graph of the diagnostic device according to a preset refresh period.

S32. Establish a data flow mapping relationship between the data flow of the power battery and the visual battery graphic.

The data flow mapping relationship includes a mapping relationship between a single cell in the battery module and a visual battery graphic in the battery data flow graphic, and a mapping relationship between the real-time status of the single battery cell and the real-time state in the visual battery graphic.

Establish a one-to-one mapping relationship between each single cell in the battery module and each visualized battery graph in the battery data flow graph; specifically, map each single cell in the battery module to the battery data The visual battery diagram in the row-row matrix format in the flow graph establishes a one-to-one mapping relationship.

Further, the real-time status in the visualized battery graph can be expressed in one of the following ways: specific numerical value, color, or specific numerical value plus color. Therefore, the real-time status of the battery cell can be represented in the battery data flow graph in real time.

Further, the real-time status in the visual battery graph can be represented by red, yellow, and green colors to represent the real-time status of the battery cells in the battery data flow graph in real time; including:

When the real-time status of the single cell of the power battery is normal (that is, when the data flow of the single cell of the power battery is less than the standard value of the single cell data flow), the real-time status in the visualized battery graph Displayed in green.

When the real-time status of the single cell of the power battery is normal (that is, when the data flow of the single cell of the power battery is equal to the standard value of the single cell data flow), the real-time status in the visualized battery graph Displayed in yellow.

When the real-time status of the single cell of the power battery is abnormal (that is, when the data flow of the single cell of the power battery is greater than the standard value of the single cell data flow), the real-time status in the visualized battery graph Displayed in red.

S33. Display the battery data flow in the visual battery graph according to the data flow mapping relationship. include:

Step A: Determine each individual cell of the power battery and its real-time status according to the read data stream of the power battery.

Specifically, the read data flow of each single cell of the power battery is compared with the corresponding standard value of the single cell data flow of the power battery in the power battery parameter database. When the power battery When the single cell data flow of the single cell is less than the single cell data flow standard value, the real-time status of the single cell is determined to be normal; when the single cell data flow of the power battery is equal to the single cell data flow When the standard value of the cell data flow is greater than the standard value of the single cell data flow, it is determined that the real-time status of the single cell is normal; when the data flow of the single cell of the power battery is greater than the standard value of the single cell data flow, it is determined that the single cell data flow is normal. The real-time status of the core is abnormal.

Step B: Display the real-time status of each single cell of the power battery to the corresponding visual battery graph in the battery data flow graph according to the data flow mapping relationship.

specifically:

When the real-time status of the single cell of the power battery is normal (that is, when the data flow of the single cell of the power battery is less than the standard value of the single cell data flow), the real-time status in the visualized battery graph It is displayed as the specific value of a single battery cell, or it is displayed in green, or it is displayed as the specific value of a single battery cell plus green.

When the real-time status of the single cell of the power battery is normal (that is, when the data flow of the single cell of the power battery is equal to the standard value of the single cell data flow), the real-time status in the visualized battery graph It is displayed as the specific value of a single battery cell, or it is displayed in yellow, or it is displayed as the specific value of a single battery cell plus yellow.

When the real-time status of the single cell of the power battery is abnormal (that is, when the data flow of the single cell of the power battery is greater than the standard value of the single cell data flow), the real-time status in the visualized battery graph Displayed as the specific value of a single battery cell, or displayed in red, or displayed as the specific value of a single battery cell plus red.

Further, the method further includes: reading the data stream of the power battery according to a preset reading cycle, and dynamically refreshing and displaying the data stream in the visual battery graphic according to a preset refresh cycle.

For example, the preset reading period is 1 second, and the preset refreshing period is 1 second. The diagnostic device regularly reads the data stream of the power battery from the battery management system according to a 1-second reading cycle, and dynamically refreshes the visual battery graphics of the diagnostic device according to a 1-second refresh cycle. Show the data flow.

In this embodiment, by establishing a data flow mapping relationship between the data flow of the power battery and the visual battery graphic, the acquired data flow of the power battery is displayed in the visual battery graphic. In this way, the data flow can be graphically displayed, and the data flow of the power battery can be graphically displayed in the diagnostic instrument. The dynamic data flow parameters of the power battery can be displayed graphically, which is simple and easy to understand. When a single cell in the battery module When the data flow is abnormal, the single cells with abnormal data flow in the battery module can be compared and presented in the visual battery graphics, and the position coordinates of the corresponding faulty single cell can be quickly located through the abnormal data flow of the power battery, and can Displaying abnormal parameters and giving warnings to assist maintenance, maintenance technicians can quickly repair electric vehicle battery module failures. At the same time, it lowers the threshold for maintenance technicians, greatly improves maintenance work efficiency, and solves the problem of existing electric vehicle battery modules. It is impossible to know in time the situation of single cells with abnormal data flow in the battery modules of electric vehicles, which is not conducive to the rapid repair of battery module faults of electric vehicles by maintenance technicians and reduces the efficiency of maintenance work.

In one embodiment, the power battery parameter database further includes: a map of the actual location of the power battery in the electric vehicle.

The visualized battery graphics also include: a battery module actual vehicle position graphic, which is used to reflect the actual location of the battery module in the electric vehicle in the diagnostic equipment.

For example, in Figure 4, the lower right corner shows the actual position of the battery module in the electric vehicle. F1 means that the battery module is placed on the first floor of the electric vehicle from top to bottom. F2 means that the battery module is placed on the first floor of the electric vehicle from top to bottom. Second level location of the car.

The method further includes: according to the power battery model in the data stream of the power battery, obtaining an actual location map of the power battery corresponding to the power battery model in the electric vehicle from the power battery parameter database;

Among them, the mapping relationship between the actual vehicle position diagram of the battery module and the actual position diagram of the power battery in the electric vehicle includes:

According to the power battery model, obtain the actual location map of the power battery corresponding to the power battery model in the electric vehicle from the power battery parameter database;

Establish a mapping relationship between the actual vehicle position diagram of the battery module of the visualized battery diagram and the actual position diagram of the power battery in the electric vehicle, so as to facilitate the retrieval of the corresponding data in the power battery parameter database according to the power battery model. The actual position diagram of the power battery in the electric vehicle, and the actual vehicle position diagram of the battery module showing the visual battery diagram mentioned in the diagnostic equipment.

In this embodiment, through the mapping relationship between the actual vehicle position diagram of the battery module and the actual position diagram of the power battery in the electric vehicle in the power battery parameter database, the corresponding fault ticket can be quickly located through abnormal data flow of the power battery. The location coordinates of the battery cell are displayed to improve the efficiency of maintenance work.

Based on the same concept, in one embodiment, as shown in Figure 5, the present application provides a power battery data flow diagnosis and visualization device, which is applied to a power battery data flow diagnosis and visualization method described in any of the above embodiments, so The device 100 for battery data flow diagnosis and visualization includes: an acquisition module 10, a generation module 20 and a display module 30; wherein:

The acquisition module 10 is used to acquire the structural parameters of the power battery;

The generation module 20 is configured to generate a visual battery graphic corresponding to the structural parameters of the power battery according to the matching of the structural parameters of the power battery;

The display module 30 is used to obtain the data flow of the power battery and display it in the visual battery graphic.

In this embodiment, the structural parameters of the power battery are obtained through the acquisition module, the generation module generates a visual battery graphic corresponding to the structural parameters of the power battery according to the matching of the structural parameters of the power battery, and the display module obtains the data flow of the power battery. Shown in the visual battery graphic. In this way, the data flow can be graphically displayed, and the data flow of the power battery can be graphically displayed in the diagnostic instrument. The dynamic data flow parameters of the power battery can be displayed graphically, which is simple and easy to understand. When a single cell in the battery module When the data flow is abnormal, the single cells with abnormal data flow in the battery module can be compared and presented in the visual battery graphics, and the position coordinates of the corresponding faulty single cell can be quickly located through the abnormal data flow of the power battery, and can Displaying abnormal parameters and giving warnings to assist maintenance, maintenance technicians can quickly repair electric vehicle battery module failures. At the same time, it lowers the threshold for maintenance technicians, greatly improves maintenance work efficiency, and solves the problem of existing electric vehicle battery modules. It is impossible to know in time the situation of single cells with abnormal data flow in the battery modules of electric vehicles, which is not conducive to the rapid repair of battery module faults of electric vehicles by maintenance technicians and reduces the efficiency of maintenance work.

It should be noted that the above device embodiments and method embodiments belong to the same concept, and the specific implementation process can be found in the method embodiments, and the technical features in the method embodiments are all applicable to the device embodiments, and will not be described again here. .

In another embodiment, as shown in FIG. 6 , the present application provides a diagnostic device. The diagnostic device 200 includes one or more processors 201 and a memory 202 . Among them, a processor 201 is taken as an example in FIG. 6 .

The processor 201 and the memory 202 may be connected through a bus or other means. In FIG. 6 , the connection through a bus is taken as an example.

As a non-volatile computer-readable storage medium, the memory 202 can be used to store non-volatile software programs, non-volatile computer executable programs and modules, such as the power battery data flow diagnosis in the embodiment of the present application. Program instructions/modules corresponding to the visualization method (for example, each functional module described in Figure 5). The processor 201 executes various functional applications and data processing of the power battery data flow diagnostic visualization device 100 by running non-volatile software programs, instructions and modules stored in the memory 202, that is, implementing the above embodiments. Power battery data flow diagnosis and visualization method and functions of each module of the power battery data flow diagnosis and visualization device 100 .

The memory 202 may include high-speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid-state storage device. In some embodiments, the memory 202 optionally includes memory located remotely relative to the processor 201, and these remote memories may be connected to the processor 201 through a network. Examples of the above-mentioned networks include but are not limited to the Internet, intranets, local area networks, mobile communication networks and combinations thereof.

The program instructions/modules are stored in the memory 202, and when executed by the one or more processors 201, execute the vehicle diagnostic method in any of the above method embodiments, for example, execute the above-described FIG. 1 and FIG. Each step shown in 3 can also realize the functions of each module described in Figure 5.

Embodiments of the present application also provide a computer-readable storage medium that stores computer-executable instructions. When the computer-executable instructions are executed by the processing processor 201 of the diagnostic device 200, the diagnostic device 200 is caused to execute the following: The battery data flow diagnosis visualization method in any of the above embodiments.

In this embodiment, the diagnostic equipment includes a power battery data flow diagnosis and visualization device. The power battery data flow diagnosis and visualization device includes an acquisition module, a generation module and a display module; the acquisition module acquires the structural parameters of the power battery, and the generation module obtains the structural parameters of the power battery according to The structural parameters of the power battery are matched to generate a visual battery graphic corresponding to the structural parameters of the power battery, and the display module obtains the data stream of the power battery and displays it in the visual battery graphic. In this way, the data flow can be graphically displayed, and the data flow of the power battery can be graphically displayed in the diagnostic instrument. The dynamic data flow parameters of the power battery can be displayed graphically, which is simple and easy to understand. When a single cell in the battery module When the data flow is abnormal, the single cells with abnormal data flow in the battery module can be compared and presented in the visual battery graphics, and the position coordinates of the corresponding faulty single cell can be quickly located through the abnormal data flow of the power battery, and can Displaying abnormal parameters and giving warnings to assist maintenance, maintenance technicians can quickly repair electric vehicle battery module failures. At the same time, it lowers the threshold for maintenance technicians, greatly improves maintenance work efficiency, and solves the problem of existing electric vehicle battery modules. It is impossible to know in time the situation of single cells with abnormal data flow in the battery modules of electric vehicles, which is not conducive to the rapid repair of battery module faults of electric vehicles by maintenance technicians and reduces the efficiency of maintenance work.

It should be noted that in this article, the terms "include", "includes" or any other variation thereof are intended to cover a non-exclusive inclusion, Thus a process, method, article or apparatus that includes a list of elements includes not only those elements but also other elements not expressly listed, or elements that are inherent to such process, method, article or apparatus. Without further limitation, an element defined by the statement "comprises a..." does not exclude the presence of additional identical elements in a process, method, article or apparatus that includes that element.

The above serial numbers of the embodiments of the present application are only for description and do not represent the advantages or disadvantages of the embodiments.

Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present application, but not to limit it; under the idea of the present application, the technical features of the above embodiments or different embodiments can also be combined. The steps may be performed in any order, and there are many other variations of different aspects of the application as described above, which are not provided in detail for the sake of brevity; although the application has been described in detail with reference to the foregoing embodiments, one of ordinary skill in the art Skilled persons should understand that they can still modify the technical solutions recorded in the foregoing embodiments, or make equivalent substitutions for some of the technical features; and these modifications or substitutions do not deviate from the essence of the corresponding technical solutions from the implementation of the present application. Example scope of technical solutions.

The above are only specific embodiments of the present application, but the protection scope of the present application is not limited thereto. Any person familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed in the present application. should be covered by the protection scope of this application. Therefore, the protection scope of this application should be subject to the protection scope of the claims.

Claims

A power battery data flow diagnosis and visualization method, the method includes:

Obtain the structural parameters of the power battery;

Generate a visual battery graphic corresponding to the structural parameters of the power battery according to the matching of the structural parameters of the power battery;

The data flow for obtaining the power battery is displayed in the visual battery graph.
The method according to claim 1, wherein obtaining the structural parameters of the power battery includes querying a power battery parameter database to obtain the structural parameters of the power battery.
The method according to claim 1, generating a visual battery graphic corresponding to the structural parameters of the power battery according to the matching of the structural parameters of the power battery, including:

According to the structural parameters of the power battery, a visual battery graphic corresponding to the structural parameters of the power battery is generated according to the preset matching rules.
According to the method of claim 3, the visualized battery graphics include battery data flow graphics, and the battery data flow graphics are used to reflect the number of battery modules, the number of single cells in series in the battery module, and the highest number of cells in the battery module. Data flow of voltage and minimum voltage, voltage difference, temperature and single cell voltage.
The method according to claim 4, the preset matching rules include: presetting visual battery graphics, matching a corresponding number of visual battery graphics according to the number of battery cells included in the battery module in the power battery, and matching the A good visual battery diagram is created by visually arranging it in a row-row matrix format to form a visual battery diagram in a row-row matrix format.
The method according to claim 1, wherein the data flow of obtaining the power battery is displayed in the visual battery graphic, including:

Read the data stream of the power battery;

Establish a data flow mapping relationship between the data flow of the power battery and the visual battery graphics;

The battery data flow is displayed in the visual battery graph according to the data flow mapping relationship.
The method according to claim 6, establishing the data flow mapping relationship between the data flow of the power battery and the visual battery graphic includes:

The data flow mapping relationship includes a mapping relationship between a single battery cell in the battery module and a visual battery graphic in the battery data flow graphic, and a mapping relationship between the real-time status of the single battery cell and the real-time state in the visual battery graphic;

Establish a data flow mapping relationship between the data flow of the power battery and the battery data flow graph;

Establish a data flow mapping relationship between the real-time status of each single cell and its corresponding real-time status in the visual battery graph.
The method according to claim 6, wherein displaying the battery data flow in the visual battery graphic according to the data flow mapping relationship includes:

Determine each individual cell of the power battery and its real-time status according to the read data stream of the power battery;

According to the data flow mapping relationship, the real-time status of each single cell of the power battery is displayed in the corresponding visual battery graph in the battery data flow graph.
The method according to claim 1, further comprising: reading the data stream of the power battery according to a preset reading cycle, and dynamically refreshing and displaying the data in the visual battery graphic according to a preset refresh cycle. flow.
The method of claim 1, further comprising:

According to the power battery model in the data stream of the power battery, obtain the actual location map of the power battery corresponding to the power battery model in the electric vehicle in the power battery parameter database;

According to the mapping relationship between the actual vehicle position diagram of the battery module and the actual location diagram of the power battery in the electric vehicle, the actual location diagram of the power battery in the electric vehicle is displayed on the battery module actual vehicle location diagram of the visual battery diagram. middle.
A diagnostic device, the diagnostic device includes at least one processor and a memory communicatively connected to the at least one processor, the memory stores instructions that can be executed by the at least one processor, the instructions are At least one processor is executed to cause the diagnostic device to execute the power battery data flow diagnostic visualization method according to any one of claims 1 to 10.
A computer-readable storage medium, the computer-readable storage medium stores computer-executable instructions, the computer-executable instructions are used to cause the computer to perform the power battery data flow diagnosis according to any one of claims 1 to 10 Visualization methods.