WO2023036037A1 - Procédé et système intelligents de surveillance et d'alerte précoce de batterie fondés sur de multiples types et quantités de capteurs - Google Patents

Procédé et système intelligents de surveillance et d'alerte précoce de batterie fondés sur de multiples types et quantités de capteurs Download PDF

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WO2023036037A1
WO2023036037A1 PCT/CN2022/116236 CN2022116236W WO2023036037A1 WO 2023036037 A1 WO2023036037 A1 WO 2023036037A1 CN 2022116236 W CN2022116236 W CN 2022116236W WO 2023036037 A1 WO2023036037 A1 WO 2023036037A1
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battery
sensors
state information
battery pack
data fusion
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PCT/CN2022/116236
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English (en)
Chinese (zh)
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杨兴
贾炎燊
王博
柳强
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清华大学
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    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
    • G01D21/00—Measuring or testing not otherwise provided for
    • G01D21/02—Measuring two or more variables by means not covered by a single other subclass
    • 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
    • Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
    • Y02E60/10—Energy storage using batteries

Definitions

  • the present disclosure relates to the technical field of battery status monitoring, in particular to an intelligent battery monitoring and early warning method and system based on multiple types and quantities of sensors.
  • the improvement of battery safety performance is mainly through the improvement of battery cell manufacturing technology and the monitoring of battery status information.
  • the improvement of battery cell manufacturing technology is a method to improve battery safety from the materials and technology itself. This method can directly improve the service life and safety performance of the battery.
  • improving the safety performance of the battery by improving the manufacturing process of the battery cell will greatly increase the application cost of the battery, and there are technical and material barriers, which are difficult to satisfy people. Increasing battery safety requirements.
  • the monitoring of battery status information is to consider the changes of various parameters such as temperature and pressure during the process of battery out of control, and the generation of characteristic gas. Using such parameters as fault identification parameters and introducing battery status information monitoring is also the current An important means to improve battery safety. Compared with the improvement of battery cell manufacturing technology, this method is not only low in cost, but also can directly and effectively obtain some relevant parameters of the battery, thereby improving the service life and safety performance of the battery.
  • the types and quantity of information on the monitored battery are small: In addition to the electrical parameters such as voltage, current, and internal resistance that are often monitored by the battery management system, generally only temperature is used as an indicator for evaluating battery safety performance, and when the battery is out of control, It is usually not only accompanied by an increase in temperature, but also a large amount of gas, so monitoring pressure indicators is also an effective means to improve the reliability of the battery monitoring system. In addition, in the current monitoring system, the number of sensors for monitoring battery status information is mostly small, which is not enough to fully and comprehensively monitor battery status information, so more information needs to be monitored and uploaded to the cloud for fusion processing Then transmit to the user, in order to improve the reliability of the monitoring system.
  • a lithium battery temperature sensor detection structure which includes a first lithium battery and a second lithium battery arranged side by side, and the outer wall of the first lithium battery and the second lithium battery A gap is formed between them, and the gap is filled with an adaptive heat-conducting material, and a temperature sensor is embedded in the self-adapting heat-conducting material, and the temperature sensor is connected with an external temperature detection instrument.
  • the sensing information of the lithium battery is only temperature, and there is only one quantity, which makes the sensing information single, and is not conducive to comprehensively evaluating the state performance of the lithium battery.
  • Chinese patent CN 104466285 A discloses a battery system for electric bicycles, including a battery case, a battery and a base, wherein the inside of the battery case is provided with several A temperature sensor, a temperature control chip, an alarm light, a buzzer and a battery output system are installed inside the base.
  • the temperature control chip is connected with the temperature sensor, alarm light and buzzer on the one hand, and connected with the battery output system on the other hand;
  • the battery output system is connected with the battery on the one hand, and connected with the temperature control chip on the other hand.
  • the safety evaluation standard of the battery system is only the parameter of temperature, and parameters such as pressure and gas are not included in the safety evaluation scope, so the accuracy of the battery monitoring system is not fully improved, which is not conducive to protecting the personal and property safety of users.
  • the sensors are not arranged in multiple key positions of the battery: the sensor layout of the current monitoring system also needs to be improved.
  • the temperature sensor mostly directly measures the surface temperature of the battery. This measurement method is the largest
  • the problem is that there is a certain temperature difference between the internal and external temperatures of the battery, and the surface temperature of the battery is not enough to reflect the actual temperature state of the battery, which will cause thermal runaway inside the battery when the external temperature of the battery is still in the normal range, and eventually cause the monitoring system to fail to obtain the correct temperature. status information. Therefore, it is necessary to arrange sensors at multiple key positions of the battery pack/battery, thereby improving the success rate of the lithium battery status information monitoring system.
  • thermocouples which are respectively installed on the surface of the battery and the battery cell.
  • This study proves that placing sensors in key positions of the battery will effectively improve the accuracy of evaluating battery safety, but the thermocouple used in this structure can only detect a temperature of 15-40°C, and the measurement temperature range is not enough to cover the battery.
  • the temperature of the entire working area, and the detection information is only the temperature, and the information is single, which is not conducive to the early warning and monitoring of the safety performance of the lithium battery when it is used.
  • sensing information are small: In the current monitoring system, there are few types of sensors for monitoring battery status information, which is not enough to fully and comprehensively monitor the status information of the battery; in addition, the number of sensors arranged is also insufficient, which will make the The accuracy of monitoring is affected.
  • Sensors are not arranged in multiple key positions of the battery pack/battery: The sensor arrangement of the current monitoring system is not arranged in key positions, which will affect the accuracy of the monitoring system in evaluating the battery status.
  • the present disclosure aims to solve one of the technical problems in the related art at least to a certain extent.
  • an object of the present disclosure is to propose an intelligent battery monitoring and early warning system based on multiple types and multiple sensors.
  • the disclosure uses multiple types and quantities of sensors for early warning monitoring, which can effectively evaluate the safety performance of the battery and improve the reliability of the early warning system; Pressure and other parameters can evaluate the battery status with high accuracy; the information monitored by the sensor is processed by data fusion, which is convenient for quantitative evaluation of battery safety performance; the multi-faceted information obtained by the sensor is established as a cloud database to facilitate the battery safety performance model establishment and identification.
  • Another object of the present disclosure is to propose an intelligent battery monitoring and early warning method based on multiple types and multiple sensors.
  • an embodiment of the present disclosure proposes an intelligent battery monitoring and early warning system based on multiple types and multiple sensors, including:
  • a plurality of sensors are arranged on key positions of the battery pack/battery, and the plurality of sensors are used to obtain a plurality of state information of the battery pack/battery, wherein the plurality of sensors include different types of sensors ;
  • a transmission module configured to transmit a plurality of state information of the battery pack/battery to a data fusion processing module
  • the data fusion processing module is configured to perform data fusion processing on multiple state information of the battery pack/battery to generate fusion state information of the battery pack/battery;
  • the early warning module is configured to identify the working state of the battery pack/battery according to the fusion state information, and when it is determined that the working state of the battery pack/battery is abnormal, give an alarm and execute a preset protection strategy.
  • the intelligent battery monitoring and early warning system based on multiple types and multiple sensors in the embodiment of the present disclosure, through multiple sensors, the multiple sensors are set on multiple key positions of the battery pack/battery, and the multiple sensors are used to obtain A plurality of status information of the battery pack/battery, wherein the plurality of sensors include different types of sensors; a transmission module, configured to transmit the multiple status information of the battery pack/battery to a data fusion processing module; the data The fusion processing module is used to perform data fusion processing on the multiple state information of the battery pack/battery to generate the fusion state information of the battery pack/battery; the early warning module is used to identify the battery pack/battery according to the fusion state information The working state of the battery, and when it is determined that the working state of the battery pack/battery is abnormal, an alarm is issued and a preset protection strategy is executed.
  • the disclosure uses multiple types and multiple sensors for early warning monitoring, which can effectively evaluate the safety performance of the battery and improve the reliability of the early warning system;
  • the sensors can be arranged in multiple key parts of the battery, and multiple points can simultaneously measure parameters such as battery temperature and pressure , the accuracy of evaluating the battery status is high;
  • the information monitored by the sensor is processed by data fusion, which is convenient for a comprehensive evaluation of the battery safety performance;
  • the multi-faceted information obtained by the sensor is established as a cloud database to facilitate the establishment of a battery safety performance model and identification.
  • the battery warning monitoring system based on multiple types and multiple sensors may also have the following additional technical features:
  • the different types of sensors include: at least two types of sensors such as temperature sensors, pressure sensors, gas sensors, force and deformation sensors, humidity sensors, chemical sensors, and inertial sensors.
  • the key position includes key positions such as the upper, lower, left, right, and inside of the battery pack, and one of the positions of the inside, casing, positive pole, and negative pole of a single battery. or more;
  • the arrangement of the batteries and the installation position of the sensors can be adaptively arranged, wherein the batteries include one of lithium batteries, lead-acid batteries, dry batteries, fuel cells, and sodium-ion batteries;
  • the installation quantity of sensors is independently arranged.
  • the applications include but are not limited to electric vehicles, electric bicycles, scooters, electric ships, mobile power supplies, mobile terminals such as mobile phones, drones, computers, electric tools, Portable devices and other fields.
  • the surface of the sensor is coated with a coating encapsulation structure
  • the material of the coating encapsulation structure is one of materials including organic matter, inorganic matter, biological material, chemical material, etc. one or more species.
  • it also includes:
  • the user terminal, the data fusion processing module is set on the user terminal, and the user terminal is used to receive the multiple status information of the battery pack/battery sent by the transmission module, and use the data fusion processing module to Perform data fusion processing on multiple state information of the battery pack/battery to generate fusion state information of the battery pack/battery.
  • it also includes: a cloud server;
  • the cloud server is configured to receive a plurality of state information of the battery pack/battery uploaded by the user terminal through wireless/or wired means;
  • the data fusion processing module is set on the cloud server, the cloud server includes a cloud database, the cloud database is used to store a plurality of state information data of the battery pack/battery used by the user, and the cloud server uses The data fusion processing module performs data fusion processing on a plurality of state information of the battery pack/battery to generate fusion state information of the battery pack/battery.
  • the user terminal is further configured to display fusion state information of the battery pack/battery on a display interface.
  • the data fusion processing module is also used to extract features of each state information of the battery pack/battery, and perform pattern recognition according to the extracted features, so as to use fuzzy reasoning
  • fuzzy reasoning One or more ways of algorithms such as neural network and machine learning are used to perform feature fusion on multiple state information to generate the fusion state information of the battery pack/battery.
  • another embodiment of the present disclosure proposes an intelligent battery monitoring and early warning method based on multiple types and multiple sensors, including the following steps: acquiring multiple status information of the battery pack/battery, wherein the multiple one including different types of state information; performing data fusion processing on multiple state information of the battery pack/battery to generate fusion state information of the battery pack/battery; identifying the work of the battery pack/battery according to the fusion state information state, and when it is determined that the working state of the battery pack/battery is abnormal, execute a preset protection strategy.
  • the intelligent battery monitoring and early warning method based on multiple types and multiple sensors in the embodiment of the present disclosure uses multiple types and multiple sensors for early warning monitoring, which can effectively evaluate the safety performance of the battery and improve the reliability of the early warning system;
  • a large number of sensors measure battery temperature, pressure and other parameters with high accuracy, which can improve the accuracy of monitoring and evaluating battery safety performance;
  • data fusion processing of sensor monitoring information facilitates comprehensive evaluation of battery safety performance;
  • the multi-faceted information of the cloud database is established to facilitate the establishment and identification of battery safety performance models.
  • FIG. 1 is a flowchart of an intelligent battery monitoring and early warning system based on multiple types and multiple sensors according to an embodiment of the present disclosure.
  • Fig. 2 is a principle and structure diagram of an intelligent battery monitoring and early warning system based on multiple types and multiple sensors according to an embodiment of the present disclosure.
  • Fig. 3 is a schematic structural diagram of a battery status information monitoring system applied to vehicles such as electric bicycles according to an embodiment of the present disclosure.
  • Fig. 4 is a schematic structural diagram of a battery state information monitoring system applied to an electric vehicle according to an embodiment of the present disclosure.
  • 5( a ), 5( b ) and 5( c ) are schematic diagrams of a plurality of different types of sensors located at different positions of a single cell according to an embodiment of the present disclosure.
  • FIG. 6 is a schematic diagram of a plurality of different types of sensors located at different positions of a battery pack according to an embodiment of the present disclosure.
  • Fig. 7 is a schematic diagram of data fusion of multi-sensor information according to an embodiment of the present disclosure.
  • FIG. 8 is a flowchart of a battery pre-warning monitoring method based on multiple types and multiple sensors according to an embodiment of the present disclosure.
  • FIG. 2 is a principle and structural diagram of an intelligent battery monitoring and early warning system based on multi-type and multi-quantity sensors according to an embodiment of the present disclosure, as shown in FIG. 2 , by installing multiple types and a large number of sensors in multiple key positions of the battery, it is possible to obtain all-round information of the battery in real time, so that the status information of the battery during work, charging or standby can be transmitted to the battery through wired/wireless transmission.
  • the user terminal sends the status information to the cloud, and the cloud performs data fusion processing algorithms on it, then sends the evaluated battery status to the user and other receiving ends through the user terminal, and when the fusion status information data is identified to be abnormal, it will alarm and execute
  • the preset protection strategy realizes a battery monitoring method and related system with multi-sensors, carrying data fusion processing, low production cost, high reliability, and real-time monitoring information, which solves the problems existing in the current battery monitoring system. Disadvantages: The monitoring information is not comprehensive enough, not smart enough, not accurate enough, etc.
  • FIG. 1 is a schematic structural diagram of a battery early warning monitoring system based on multiple types and multiple sensors according to an embodiment of the present disclosure.
  • the monitoring system 10 includes: a plurality of sensors 100 , a transmission module 200 , a data fusion processing module 300 and an early warning module 400 .
  • a plurality of sensors 100 the plurality of sensors 100 are arranged on key positions of the battery pack/battery, and the plurality of sensors 100 are used to acquire multiple state information of the battery pack/battery, wherein the plurality of sensors 100 include different types of sensors.
  • the sensors include: temperature sensors, pressure sensors, gas sensors, force and deformation sensors, humidity sensors, chemical sensors, inertial sensors and other sensors.
  • the sensors include: temperature sensors, pressure sensors, gas sensors, force and deformation sensors, humidity sensors, chemical sensors, inertial sensors and other sensors.
  • the present disclosure enables the sensor 100 to be installed in multiple key parts of the battery pack/battery, and transmits the related performance information of the battery to the outside after preliminary data processing, using multiple types and multiple Quantity sensors for early warning monitoring can effectively evaluate the safety performance of the battery and improve the reliability of the early warning system.
  • the senor 100 can be installed at any key position such as the inside, outer shell, positive pole, and negative pole of the single battery.
  • the senor 100 can be installed at any key position such as the top, bottom, left, right, and inside of the battery pack. .
  • the battery includes a lithium battery, a lead storage battery, a dry battery, a fuel cell, a sodium ion battery, etc.
  • a lithium battery a lead storage battery
  • a dry battery a fuel cell
  • a sodium ion battery etc.
  • the installation position of the sensor 100 can be adaptively arranged, which is beneficial to the overall structure design of the battery; according to the application requirements of batteries in different application scenarios and different users, the sensor can be arranged independently
  • the installation quantity of 100 is conducive to the design and manufacture under different conditions.
  • the surface of the used temperature, pressure, gas sensors, etc. can be coated with a certain packaging structure such as coating, and the packaging structure material such as coating can be organic, Inorganic substances, biological materials, chemical materials.
  • the disclosed coating can prevent surrounding liquids, gases, and solids from damaging or affecting the performance of the sensor.
  • the transmission module 200 is configured to upload multiple state information of the battery pack/battery to the data fusion processing module 300 .
  • the data fusion processing module is set on the user terminal, and the user terminal is used to receive the battery pack/battery data sent by the transmission module 200.
  • State information and perform data fusion processing on multiple state information of the battery pack/battery through the data fusion processing module 300 to generate fusion state information of the battery pack/battery, and also use to combine multiple state information of the battery pack/battery through wireless uploaded to the cloud server by way/or wired way, and display the fusion state information of the battery pack/battery on the display interface.
  • the data fusion processing module is arranged on the battery pack/battery, and the battery pack/battery is used to receive the battery pack/battery sent by the transmission module 200 multiple status information of the battery pack/battery, and perform data fusion processing on the multiple status information of the battery pack/battery through the data fusion processing module 300 to generate the fusion status information of the battery pack/battery.
  • the data fusion processing module 300 is configured to perform data fusion processing on a plurality of state information of the battery pack/battery to generate fusion state information of the battery pack/battery.
  • the data fusion processing module 300 performs feature extraction on each state information of the battery pack/battery, and performs pattern recognition according to the extracted features, so as to use fuzzy reasoning, neural network, machine learning algorithm and other ways to perform feature fusion on multiple state information to generate fusion state information of the battery pack/battery.
  • the cloud server receives multiple status information of the battery pack/battery uploaded by the user terminal wirelessly/or wiredly;
  • the data fusion processing module 300 is set on the cloud server.
  • the cloud server includes a cloud database.
  • the cloud database is used to store a plurality of state information data of the battery pack/battery used by the user.
  • the cloud server is used to pass the data fusion processing module 300 to the battery. Multiple state information of the battery pack/battery is processed for data fusion to generate fusion state information of the battery pack/battery.
  • the cloud server receives multiple status information of the battery pack/battery uploaded by the user terminal wirelessly/or wiredly, the data fusion processing module 300 is set on the user terminal, and the cloud server Including a cloud database, the cloud database is used to store multiple state information of the battery pack/battery, and the cloud server is used to perform data fusion processing on the multiple state information of the battery pack/battery through the data fusion processing module 300 to generate the battery pack/battery Fusion state information.
  • the early warning module 400 is configured to identify the working state of the battery pack/battery according to the fusion state information, and when it is determined that the working state of the battery pack/battery is abnormal, give an alarm and execute a preset protection strategy.
  • the fusion state information of the generated battery pack/battery is transmitted through the transmission module and displayed on the display interface, so that the user can know the state information of the battery in real time. If there is an abnormality in the information, early warning actions such as alarming, tweeting, and flashing can be made immediately. At the same time, the battery pack/battery unit can take protective actions such as cutting off the power supply.
  • the intelligent battery monitoring and early warning system based on multiple types and multiple sensors includes, for example:
  • Fig. 3 is a schematic structural diagram of a ternary lithium battery state information monitoring system applied to vehicles such as electric bicycles according to an embodiment of the present disclosure, as shown in Fig. 3 : including a battery pack/battery unit, a sensor unit, a data fusion processing module, Transmission module, alarm module, user terminal.
  • multiple sensors 100 are arranged at multiple key positions of the battery pack/battery unit for obtaining multiple state information of the battery pack/battery unit, wherein the multiple sensors 100 include different types of sensors.
  • FIG. 6 it is a way of placing the sensor on the battery pack, which is only used as an example and is not limited to the above way.
  • multiple sensors 100 can be installed at each key position of the battery pack/battery of the electric bicycle, so as to obtain the state information of the battery, and the sensors can be arranged autonomously for batteries in different application scenarios and the application requirements of different users
  • the number and type of installations, as well as the location of sensor installation As an example, first, various types of sensors are installed in the battery pack/battery unit of the electric bicycle.
  • the installation position of the sensor 100 is shown in Figure 3, including key positions such as the inside, casing, positive pole, and negative pole of a single battery.
  • 3 pressure sensors, 3 temperature sensors, and 1 gas sensor are respectively set on a single battery (the number of sensors can be set to one or more according to the actual situation).
  • the transmission module 200 is configured to transmit multiple state information of the battery pack/battery to the data fusion processing module 300 .
  • the sensor unit transmits the monitored status information of the battery unit to the user terminal (such as the user's mobile phone, computer, etc.) through the transmission module, and the user terminal uploads the monitored information to the cloud server.
  • the user terminal such as the user's mobile phone, computer, etc.
  • the data fusion processing module 300 is configured to perform data fusion processing on a plurality of state information of the battery pack/battery to generate fusion state information of the battery pack/battery.
  • the cloud server is configured to receive a plurality of state information of the battery pack/battery uploaded by the user terminal through wired/or wireless means (such as mobile communication, wide area network, etc.).
  • the data fusion processing module 300 is set on the cloud server.
  • the cloud server includes a cloud database.
  • the cloud database is used to store a plurality of state information data of the battery pack/battery used by the user.
  • the cloud server is used to pass the data fusion processing module 300 to the battery. Multiple state information of the battery pack/battery is processed for data fusion to generate fusion state information of the battery pack/battery.
  • the cloud server judges the working state of the battery through model recognition and algorithm calculation (such as neural network, machine learning and other algorithms).
  • the data fusion processing module 300 is set on the user terminal, and the user terminal is used to receive a plurality of state information of the battery pack/battery sent by the transmission module 200, and use the data fusion processing module 300 to analyze the status information of the battery pack/battery Data fusion processing is performed on multiple state information of the battery pack/battery to generate fusion state information of the battery pack/battery.
  • the data fusion processing module 300 is set on the battery pack/battery, and the battery pack/battery is used to receive multiple state information of the battery pack/battery sent by the transmission module 200, and the data fusion processing module 300 is used to Multiple state information of the battery pack/battery is processed for data fusion to generate fusion state information of the battery pack/battery.
  • the early warning module 400 is configured to identify the working state of the battery pack/battery according to the fusion state information, and execute a preset protection strategy when it is determined that the working state of the battery pack/battery is abnormal, specifically including:
  • the early warning module 400 is set on the user terminal, and the result processed by the data fusion processing module is transmitted back to the user terminal (such as the user's mobile phone, computer, etc.), and the user terminal can display the fusion state information of the battery pack/battery on the real-time display interface, so that The user knows the fusion status information of the battery in real time. If the information is abnormal, the early warning module can immediately make early warning actions such as alarm, tweet, and flash. At the same time, the user terminal sends the abnormality information to the battery pack unit, and the battery pack unit can take protective actions such as cutting off the power supply.
  • the early warning module 400 is set on the battery pack/battery unit, and the result processed by the data fusion processing module is transmitted to the battery pack/battery unit. If the information is abnormal, the early warning module can immediately make an alarm. Early warning behaviors such as tweeting and flashing. At the same time, the battery pack/battery unit can take protective actions such as cutting off the power supply.
  • the intelligent battery monitoring and early warning system based on multiple types and multiple sensors includes, for example:
  • Fig. 4 is a schematic structural diagram of a state information monitoring system for a lithium iron phosphate battery applied to an electric vehicle according to an embodiment of the present disclosure, as shown in Fig. 4 : including a battery pack unit, a sensor unit, a data fusion processing module, a transmission module, and an alarm module , User terminal.
  • a plurality of sensors 100 are arranged at key positions of the battery pack/battery unit, and are used to obtain a plurality of status information of the battery pack/battery unit, wherein the plurality of sensors 100 include different types of sensors.
  • FIG. 6 it is a way of placing the sensor on the battery pack, which is only used as an example and is not limited to the above way.
  • multiple sensors 100 can be installed at each key position of the battery pack/battery of the electric vehicle, so as to obtain the state information of the battery, and according to the application requirements of the battery in different application scenarios and different users, the sensors can be arranged autonomously.
  • various sensors are installed in the battery pack unit of an electric vehicle.
  • the installation position of the sensor 100 is shown in Figure 4, including key positions such as the interior, casing, positive pole, and negative pole of a single battery, as shown in Figure 4
  • Three pressure sensors, three temperature sensors, and one gas sensor are respectively set on a single battery in the battery (the number of sensors can be set to one or more according to the actual situation).
  • the transmission module 200 is configured to transmit multiple state information of the battery pack/battery to the data fusion processing module 300 .
  • the sensor unit transmits the monitored status information of the battery unit to the user terminal (such as the user's mobile phone, computer, etc.) through the transmission module, and the user terminal uploads the monitored information to the cloud server.
  • the user terminal such as the user's mobile phone, computer, etc.
  • the data fusion processing module 300 is configured to perform data fusion processing on a plurality of state information of the battery pack/battery to generate fusion state information of the battery pack/battery.
  • the cloud server is configured to receive a plurality of state information of the battery pack/battery uploaded by the user terminal through wired/or wireless means (such as mobile communication, wide area network, etc.).
  • the data fusion processing module 300 is set on the cloud server.
  • the cloud server includes a cloud database.
  • the cloud database is used to store a plurality of state information data of the battery pack/battery used by the user.
  • the cloud server is used to pass the data fusion processing module 300 to the battery. Multiple state information of the battery pack/battery is processed for data fusion to generate fusion state information of the battery pack/battery.
  • the cloud server judges the working state of the battery through model recognition and algorithm calculation (such as neural network, machine learning and other algorithms).
  • the data fusion processing module 300 is set on the user terminal, and the user terminal is used to receive a plurality of state information of the battery pack/battery sent by the transmission module 200, and use the data fusion processing module 300 to analyze the status information of the battery pack/battery Data fusion processing is performed on multiple state information of the battery pack/battery to generate fusion state information of the battery pack/battery.
  • the data fusion processing module 300 is set on the battery pack/battery, and the battery pack/battery is used to receive multiple state information of the battery pack/battery sent by the transmission module 200, and the data fusion processing module 300 is used to Multiple state information of the battery pack/battery is processed for data fusion to generate fusion state information of the battery pack/battery.
  • the early warning module 400 is configured to identify the working state of the battery pack/battery according to the fusion state information, and execute a preset protection strategy when it is determined that the working state of the battery pack/battery is abnormal, specifically including:
  • the early warning module 400 is set on the user terminal, and the result processed by the data fusion processing module is transmitted back to the user terminal (such as the user's mobile phone, computer, etc.), and the user terminal can display the fusion state information of the battery pack/battery on the real-time display interface, so that The user knows the fusion status information of the battery in real time. If the information is abnormal, the early warning module can immediately make early warning actions such as alarm, tweet, and flash. At the same time, the user terminal sends the abnormality information to the battery pack unit, and the battery pack unit can take protective actions such as cutting off the power supply.
  • the early warning module 400 is set on the battery pack/battery unit, and the result processed by the data fusion processing module is transmitted to the battery pack/battery unit. If the information is abnormal, the early warning module can immediately make an alarm. Early warning behaviors such as tweeting and flashing. At the same time, the battery pack/battery unit can take protective actions such as cutting off the power supply.
  • the intelligent battery monitoring and early warning system based on multiple types and multiple sensors in the embodiment of the present disclosure, by using multiple types and multiple sensors for early warning monitoring, the safety performance of the battery can be effectively evaluated, and the reliability of the early warning system can be improved;
  • the type and number of sensors measure battery temperature, pressure and other parameters with high accuracy, which can improve the accuracy of monitoring and evaluating battery safety performance; data fusion processing of sensor monitoring information facilitates comprehensive evaluation of battery safety performance;
  • the multi-faceted information obtained by the sensor establishes a cloud database to facilitate the establishment and identification of battery safety performance models.
  • Fig. 8 is a flowchart of an intelligent battery monitoring and early warning method based on multiple types and multiple sensors according to an embodiment of the present disclosure.
  • the intelligent battery monitoring and early warning method based on multiple types and multiple sensors includes the following steps:
  • Step S1 obtaining a plurality of state information of the battery pack/battery, wherein a plurality of state information includes different types of state information;
  • Step S2 performing data fusion processing on multiple state information of the battery pack/battery to generate fusion state information of the battery pack/battery;
  • Step S3 identifying the working state of the battery pack/battery according to the fused state information, and executing a preset protection strategy when it is determined that the working state of the battery pack/battery is abnormal.
  • data fusion processing is performed on multiple state information of the battery pack/battery to generate fusion state information of the battery pack/battery, including:
  • Feature extraction is performed on each state information of the battery pack/battery, and pattern recognition is performed based on the extracted features, so as to perform feature fusion on multiple state information according to a preset method to generate fusion state information of the battery pack/battery.
  • the intelligent battery monitoring and early warning system based on multiple types and multiple sensors in the embodiment of the present disclosure, by using multiple types and multiple sensors for early warning monitoring, the safety performance of the battery can be effectively evaluated, and the reliability of the early warning system can be improved;
  • the type and number of sensors measure battery temperature, pressure and other parameters with high accuracy, which can improve the accuracy of monitoring and evaluating battery safety performance; data fusion processing of sensor monitoring information facilitates comprehensive evaluation of battery safety performance;
  • the multi-faceted information obtained by the sensor establishes a cloud database to facilitate the establishment and identification of battery safety performance models.
  • first and second are used for descriptive purposes only, and cannot be interpreted as indicating or implying relative importance or implicitly specifying the quantity of indicated technical features.
  • the features defined as “first” and “second” may explicitly or implicitly include at least one of these features.
  • “plurality” means at least two, such as two, three, etc., unless otherwise specifically defined.

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Abstract

La présente demande divulgue un procédé et un système intelligents de surveillance et d'avertissement précoce de batterie fondés sur de multiples types et quantités de capteurs. Le système comprend : de multiples capteurs disposés aux positions clés d'un bloc-batterie/d'une batterie et configurés pour obtenir de multiples éléments d'informations d'état de la batterie, les multiples capteurs étant de types différents ; un module de transmission configuré pour transmettre les multiples éléments d'informations d'état de la batterie à un module de traitement de fusion de données ; le module de traitement de fusion de données configuré pour effectuer un traitement de fusion de données sur les multiples éléments d'informations d'état de la batterie afin de générer des informations d'état fusionnées de la batterie ; et un module d'avertissement précoce configuré pour exécuter une politique de protection prédéfinie. La précision de paramètres de mesure tels que la température et la pression d'une batterie à l'aide de multiples types et quantités de capteurs est élevée, de telle sorte que la précision de surveillance et d'évaluation des performances de sécurité de la batterie peut être améliorée ; les informations surveillées par les capteurs sont soumises à un traitement de fusion de données, de telle sorte que les performances de sécurité de la batterie peuvent être évaluées de manière complète ; et une base de données en nuage est établie à l'aide des informations obtenues par les capteurs, de telle sorte que l'établissement et l'identification d'un modèle de performance de sécurité de batterie sont facilités.
PCT/CN2022/116236 2021-09-10 2022-08-31 Procédé et système intelligents de surveillance et d'alerte précoce de batterie fondés sur de multiples types et quantités de capteurs WO2023036037A1 (fr)

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