WO2023207403A1 - Procédé de visualisation de diagnostic de flux de données de batterie de traction et dispositif de diagnostic - Google Patents

Procédé de visualisation de diagnostic de flux de données de batterie de traction et dispositif de diagnostic Download PDF

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WO2023207403A1
WO2023207403A1 PCT/CN2023/081881 CN2023081881W WO2023207403A1 WO 2023207403 A1 WO2023207403 A1 WO 2023207403A1 CN 2023081881 W CN2023081881 W CN 2023081881W WO 2023207403 A1 WO2023207403 A1 WO 2023207403A1
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Prior art keywords
battery
data flow
power battery
visual
power
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PCT/CN2023/081881
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English (en)
Chinese (zh)
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戴江南
王啸
钟隆辉
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深圳市道通科技股份有限公司
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Publication of WO2023207403A1 publication Critical patent/WO2023207403A1/fr

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/26—Visual data mining; Browsing structured data
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/28—Databases characterised by their database models, e.g. relational or object models
    • G06F16/284—Relational databases
    • G06F16/288—Entity relationship models
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/20—Administration of product repair or maintenance
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T10/00—Road transport of goods or passengers
    • Y02T10/60—Other road transportation technologies with climate change mitigation effect
    • Y02T10/70—Energy storage systems for electromobility, e.g. batteries

Definitions

  • 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.
  • a power battery is composed of hundreds or even thousands of individual cells, corresponding to hundreds or even thousands of data streams.
  • 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.
  • 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.
  • the first embodiment of the present application provides a power battery data flow diagnosis and visualization method.
  • the method includes:
  • the data flow for obtaining the power battery is displayed in the visual battery graph.
  • 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 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:
  • a visual battery graphic corresponding to the structural parameters of the power battery is generated according to the preset matching rules.
  • 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.
  • 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.
  • the data flow for obtaining the power battery is displayed in the visual battery graph; including:
  • the battery data flow is displayed in the visual battery graph according to the data flow mapping relationship.
  • 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;
  • displaying the battery data flow in the visual battery graphic according to the data flow mapping relationship includes:
  • 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 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.
  • the method also includes:
  • 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;
  • 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 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.
  • 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 embodiments of the present application provide a power battery data flow diagnosis visualization method and diagnostic equipment.
  • the structural parameters of the power battery are generated according to the matching of the structural parameters of the power battery.
  • 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.
  • 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.
  • 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;
  • FIG. 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.
  • this application provides a power battery data flow diagnostic visualization method, which method includes:
  • the structural parameters of the power battery 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.
  • 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.
  • 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.
  • 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.
  • the power battery parameter database includes: structural parameters of the power battery and single cell data flow standard values.
  • the power battery parameter database is stored in the diagnostic device or in an external server.
  • the diagnostic equipment is a diagnostic instrument.
  • 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. .
  • 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.
  • step S2 matching the structural parameters of the power battery generates a visual battery graphic corresponding 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.
  • the battery data stream refers to various operating parameters of the power battery of the electric vehicle.
  • 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.
  • a battery module includes several battery cells, it will be matched with several visual battery graphics.
  • 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 includes battery cell parameters of temperature and voltage difference. For example, the temperature is 30.0°C and the voltage difference is 31.2mV.
  • 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.
  • step S3 the data flow for obtaining the power battery is displayed in the visual battery graph. Specifically include:
  • the data stream of the power battery is read from the battery management system (Battery Management System, BMS) through the diagnostic device.
  • BMS Battery Management System
  • 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.
  • 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.
  • 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.
  • 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.
  • 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:
  • 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.
  • 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.
  • 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
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • the preset reading period is 1 second
  • 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.
  • the acquired data flow of the power battery is displayed in the visual battery graphic.
  • 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.
  • 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.
  • 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;
  • 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.
  • 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:
  • 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;
  • 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.
  • 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.
  • 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.
  • 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.
  • the present application provides a diagnostic device.
  • the diagnostic device 200 includes one or more processors 201 and a memory 202 .
  • 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.
  • the connection through a bus is taken as an example.
  • 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.
  • 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.
  • the diagnostic device 200 is caused to execute the following: The battery data flow diagnosis visualization method in any of the above embodiments.
  • 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.
  • 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.
  • 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.

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Abstract

Procédé de visualisation de diagnostic de flux de données de batterie de traction et dispositif de diagnostic, qui se rapportent au domaine de la maintenance automobile. Le procédé consiste : à acquérir des paramètres structuraux d'une batterie de traction (S1) ; selon les paramètres structuraux de la batterie de traction, à mettre en correspondance et à générer un graphe de batterie visuel correspondant aux paramètres structuraux de la batterie de traction (S2) ; et à acquérir un flux de données de la batterie de traction, et à afficher ce dernier dans le graphe de batterie visuel (S3). Au moyen du procédé, une modélisation de flux de données peut être réalisée, des paramètres de flux de données dynamiques d'une batterie de traction peuvent être affichés selon un modèle, une cellule de batterie unique dotée d'un flux de données anormal dans un module de batterie peut être présentée dans un graphe de batterie visuel d'une manière comparative, des coordonnées d'emplacement de la cellule de batterie unique défectueuse correspondante peuvent être rapidement positionnées au moyen du flux de données anormal de la batterie de traction, et des paramètres anormaux peuvent être affichés pour donner une alarme de façon à aider à la maintenance, de telle sorte qu'un technicien de maintenance peut réparer rapidement un défaut du module de batterie d'un véhicule électrique, et les difficultés auxquelles le technicien de maintenance est confronté sont également réduites, améliorant ainsi considérablement l'efficacité de travail de maintenance.
PCT/CN2023/081881 2022-04-24 2023-03-16 Procédé de visualisation de diagnostic de flux de données de batterie de traction et dispositif de diagnostic WO2023207403A1 (fr)

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CN114860835A (zh) * 2022-04-24 2022-08-05 深圳市道通科技股份有限公司 动力电池数据流诊断可视化方法和诊断设备

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