Fire early warning processing method and system

Abstract

The invention provides a fire early warning processing method and system. The method comprises the following steps: acquiring wire harness monitoring data and environment monitoring data of a wire harness; acquiring battery cell monitoring data of the battery cell from a battery management system; based on the wire harness monitoring data, the environment monitoring data and the cell monitoring data, performing fire detection on the battery system to obtain a fire detection result of the battery system; and performing early warning processing on the battery system according to the fire detection result. By adopting the scheme of the embodiment of the invention, the timeliness of fire early warning processing of the battery system is improved.

Description

Technical Field

[0001] The present application relates to the field of battery technology, and in particular to a fire warning processing method and system thereof. Background Art

[0002] With the development of battery system technology and its widespread application, the safe operation and fire protection of battery systems have gradually received attention. Energy-intensive devices such as lithium-ion batteries used in battery systems have potential risks of fire and thermal runaway. Once a fire occurs, due to the internal chemical reactions of the battery and the characteristics of the power equipment, the fire may spread rapidly and cause serious damage to the equipment and the surrounding environment.

[0003] However, in the related art, the external environment monitoring adopted by the battery system fire prevention technology cannot respond in the early stages before the fire occurs, resulting in untimely fire prevention. Summary of the invention

[0004] The embodiments of the present application provide a fire warning processing method and system thereof, which can improve the technical problem of untimely fire prevention.

[0005] In a first aspect, an embodiment of the present application provides a fire warning processing method, which is applicable to a battery system, wherein the battery system includes a battery management system for monitoring battery cells, and the battery system includes at least one wiring harness, and the method includes:

[0006] Acquiring wire harness monitoring data and environmental monitoring data of the wire harness;

[0007] Obtain cell monitoring data of the battery cell from the battery management system;

[0008] Based on the wiring harness monitoring data, the environment monitoring data, and the battery cell monitoring data, fire detection is performed on the battery system to obtain a fire detection result of the battery system;

[0009] According to the fire detection result, early warning processing is performed on the battery system.

[0010] In a second aspect, an embodiment of the present application provides a fire warning processing system, including a battery system, wherein the battery system includes an intelligent control module, at least one wiring harness, and a battery management system for monitoring battery cells, wherein the intelligent control module is connected to the battery management system;

[0011] The intelligent control module is configured to obtain the wiring harness monitoring data and the environmental monitoring data of the wiring harness; obtain the battery cell monitoring data of the battery cell from the battery management system; perform fire detection on the battery system based on the wiring harness monitoring data, the environmental monitoring data and the battery cell monitoring data to obtain the fire detection result of the battery system; perform early warning processing on the battery system according to the fire detection result;

[0012] The battery management system is configured to obtain the battery cell monitoring data and transmit the battery cell monitoring data to the intelligent control module.

[0013] In a third aspect, an embodiment of the present application provides a fire warning processing device, the fire warning processing device comprising:

[0014] A first acquisition unit, used to acquire wire harness monitoring data and environment monitoring data of the wire harness;

[0015] A second acquisition unit, used to acquire the battery cell monitoring data of the battery cell from the battery management system;

[0016] A fire detection unit, configured to perform fire detection on the battery system based on the wiring harness monitoring data, the environment monitoring data, and the battery cell monitoring data, and obtain a fire detection result of the battery system;

[0017] An early warning processing unit is used to perform early warning processing on the battery system according to the fire detection result.

[0018] In a fourth aspect, an embodiment of the present application provides a computer device, the computer device comprising:

[0019] one or more processors;

[0020] Memory; and

[0021] One or more application programs, wherein the one or more application programs are stored in the memory and configured to be executed by the processor to implement the fire warning processing method.

[0022] In a fifth aspect, an embodiment of the present application provides a computer storage medium on which a computer program is stored, and the computer program is loaded by a processor to execute the steps in the fire warning processing method.

[0023] In a sixth aspect, an embodiment of the present application provides a computer program product, including a computer program or instructions, and the steps in the fire warning processing method when the computer program or instructions are executed by a processor.

[0024] Beneficial effects of the embodiments of the present application:

[0025] In an embodiment of the present application, based on the harness monitoring data, the environment monitoring data and the battery cell monitoring data, a fire detection is performed on the battery system to obtain a fire detection result of the battery system; then, based on the fire detection result, an early warning is performed on the battery system. Compared with the monitoring of the external environment, the embodiment of the present application monitors the environment, battery cells and harness of the battery system. When the monitoring data of the above-mentioned monitoring objects are found to be abnormal, fire detection can be performed in time and corresponding early warning processing can be performed. In this way, a fire early warning can be performed on the battery system from multiple angles, achieving a response in the early stage before the fire occurs, improving the timeliness of the fire early warning processing of the battery system, and avoiding the technical problem of untimely fire prevention. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For those skilled in the art, other drawings can be obtained based on these drawings without creative work.

[0027] Figure 1 It is a schematic diagram of an application scenario of the fire warning processing method provided in an embodiment of the present application;

[0028] Figure 2 It is a flowchart of a fire warning processing method provided in an embodiment of the present application;

[0029] Figure 3 is a flow chart of another fire warning processing method provided by an embodiment of the present application;

[0030] Figure 4 is a structural schematic diagram of a fire warning processing device provided in an embodiment of the present application;

[0031] Figure 5 It is a schematic diagram of the structure of a computer device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0032] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present application. In addition, it should be understood that the specific implementation methods described herein are only used to illustrate and explain the present application, and are not used to limit the present application. In the present application, unless otherwise stated, the directional words such as "upper" and "lower" used generally refer to the upper and lower parts of the device in actual use or working state, specifically the drawing direction in the accompanying drawings; while "inside" and "outside" refer to the outline of the device.

[0033] Since the external environment monitoring adopted by the battery system fire prevention technology in the related art cannot respond in the early stage before the fire occurs, resulting in untimely fire prevention. For this reason, the embodiment of the present application provides a fire warning processing method and system thereof, so as to monitor the environment, battery cells and wiring harness of the battery system. When the monitoring data of the above-mentioned monitoring objects are found to be abnormal, fire detection can be carried out in time and corresponding warning processing can be carried out. In this way, fire warnings can be carried out on the battery system from multiple angles, and responses can be made in the early stage before the fire occurs, avoiding the technical problem of untimely fire prevention. For specific solutions, please refer to the following specific description.

[0034] It should be noted that, hereinafter, "battery" may refer to any of a variety of rechargeable battery chemistries and structures, including but not limited to lithium ion (e.g., lithium ion phosphate, lithium cobalt oxide, lithium iron phosphate, other lithium oxide metals, etc.), lithium ion polymer, nickel metal hydride, nickel cadmium, nickel metal hydride, nickel zinc, silver zinc or other battery types / structures. The term "electric vehicle" is used here to refer to a fully electric vehicle, also known as an EV, a plug-in hybrid vehicle, also known as a PHEV, or a hybrid electric vehicle (HEV), wherein the hybrid vehicle uses multiple propulsion sources, one of which is an electric drive system. It should be understood that the same figure numbers are used in multiple figures to refer to the same components or components of equivalent functions, and various modifications to the preferred embodiments, general principles and features described herein will be obvious to those skilled in the art. In addition, the drawings are intended only to illustrate the scope of the present application and not to limit it and should not be considered to be drawn to scale.

[0035] Embodiments of the present application are generally applicable to systems or energy storage systems using electric motors, and more specifically, but not exclusively, to electric vehicles using multiphase electric motors (e.g., inductive motors). Electric vehicles use one or more stored energy sources such as battery packs to provide electrical energy to the vehicle. This energy is at least partially used to propel the vehicle. The stored energy can also be used to provide energy required by other vehicle systems, such as vehicle lighting, vehicle partitionable heating, ventilation and air conditioning (HVAC) systems, auxiliary control systems (e.g., sensors, displays, navigation systems, etc.), vehicle entertainment systems (e.g., radio, DVD, MP3, etc.), etc. Conventional electric vehicles include passenger vehicles and vehicles designed to transport goods, examples of which include passenger cars, trucks, electric bicycles, and recreational boats. Electric vehicles also include dedicated work vehicles and carts, some of which can be integrated with forklifts, scissor lifts, lifting and / or articulated boom aerial work platforms, street cleaning systems, conveyor belts, and flatbed handling platforms.

[0036] See also Figure 1 The embodiments of the present application can be applied to Figure 1 The application scenario shown includes a terminal device 102 and a server 104. The terminal device 102 may be a device including both receiving and transmitting hardware, that is, a device having receiving and transmitting hardware capable of performing bidirectional communication on a bidirectional communication link. The terminal device 102 and the server 104 may perform bidirectional communication via a network.

[0037] Exemplarily, the terminal device 102 obtains the harness monitoring data and environmental monitoring data of the harness; obtains the battery cell monitoring data of the battery cell from the battery management system; performs fire detection on the battery system based on the harness monitoring data, environmental monitoring data and battery cell monitoring data to obtain the fire detection result of the battery system; performs early warning processing on the battery system according to the fire detection result. Alternatively, the above steps can also be performed by the server 104, the terminal device 102 is, for example, a vehicle-mounted terminal, the terminal device 102 receives the battery cell monitoring data of the battery cell sent by the server 104, and performs fire detection based on the battery cell monitoring data of the battery cell. Alternatively, the above method is performed collaboratively by the terminal device 102 and the server 104, for example, the terminal device 102 can call the environmental monitoring data of the server 104, or the terminal device 102 can download the environmental monitoring data from the server 104 and store it in the local storage space, and so on.

[0038] The terminal device includes but is not limited to one or more of a mobile phone, a computer, an IoT device, a vehicle-mounted terminal, and a portable wearable device. The IoT device may be a smart vehicle-mounted device. The portable wearable device may be one or more of a smart watch, a smart bracelet, smart glasses, and a head-mounted device.

[0039] The server includes but is not limited to one or more of mobile phones, computers, IoT devices, vehicle-mounted terminals, and portable wearable devices.

[0040] The following is a detailed description of the embodiments in conjunction with the accompanying drawings. It should be noted that the description order of the following embodiments is not intended to limit the preferred order of the embodiments. Although the logical order is shown in the flow chart, in some cases, the steps shown or described may be performed in an order different from that shown in the accompanying drawings.

[0041] See also Figure 2 , a fire warning processing method is provided, the method is applicable to a battery system, the battery system includes a battery management system for monitoring battery cells, and the battery system includes at least one wiring harness. The following is an example of the method being applied to a computer device, the method includes steps 201 to 204:

[0042] 201. Obtain wire harness monitoring data and environmental monitoring data of the wire harness.

[0043] Among them, the wiring harness in the battery system is an important component that connects the battery cells, the battery management system (BMS) and other related components. The role of the wiring harness in the battery system can include functions such as current transmission and signal transmission.

[0044] Among them, the wiring harness monitoring data includes wiring harness temperature data and working monitoring data. The working monitoring data may include monitoring data such as load current and voltage of the wiring harness. This application uses current monitoring data as an example.

[0045] Among them, the wiring harness current data can be collected through the wiring harness current sensor, which is designed to detect current changes in the wiring harness. Its main purpose is to promptly detect abnormal current conditions, such as overcurrent or short circuit, and then trigger a protection mechanism to avoid fire or damage.

[0046] It should be noted that BMS is usually equipped with a current detection function, which mainly uses Hall sensors or shunts to measure the total current of the entire battery system (including current changes during charging and discharging). Total current detection: BMS generally detects the current changes of the entire battery pack, which is used to manage the charging and discharging process and prevent overcharging, over-discharging and overcurrent of the battery.

[0047] Local harness current detection: However, the BMS is not designed to directly monitor the local current in individual harnesses, especially in a widely distributed harness system. The BMS focuses on global current management and it is difficult to detect in real time whether there is local abnormal current in certain harnesses.

[0048] Harness current sensor: Harness current sensor can detect local changes in the current in the harness in real time, especially in key nodes of the harness (such as high-load areas, ground wires, etc.). When there is excessive current or short circuit, the current sensor can sense and trigger the protection mechanism in the first place. This detection mechanism can achieve faster local monitoring than BMS.

[0049] Therefore, although the BMS can detect the total current of the battery system, it cannot monitor the local current changes in the wiring harness in real time. The design of the wiring harness current sensor is especially in the application scenarios of fire detection and automatic power off. The wiring harness current sensor can detect electrical faults such as local overcurrent or short circuit in time. This sensor design adds a layer of safety protection to the battery system, which is a necessary and effective supplement.

[0050] The harness temperature data can be collected by a harness temperature sensor set at an electrical node of the harness in the battery system, where an electrical node is a node connecting multiple cables or devices, which is prone to increased contact resistance or loose connection, resulting in heat. Or it is a current concentration channel, such as a ground bus, a main power connector, etc. Specifically, the electrical node may include a connection node, a ground node, and a (high) load node.

[0051] It should be noted that there is a difference between the harness temperature sensor and the cell temperature sensor. First, the functions and monitoring targets of the two are different; the harness temperature sensor is mainly used to monitor the local overheating risk of the harness electrical nodes, such as connectors, ground wires, and high-load areas. Its design purpose is to detect electrical faults (such as short circuits and temperature rise caused by high currents) to avoid fire and damage. The cell temperature sensor is mainly used to monitor the changes in the internal temperature of the cell to ensure that the battery remains within a safe temperature range during operation and charging and discharging. The goal is to detect the thermal runaway risk of the cell, such as overcharging, overdischarging or temperature abnormalities caused by internal chemical reactions. Secondly, the installation method is different: for connection nodes (such as connectors): the harness temperature sensor can be installed on the connector housing in the form of surface bonding; for ground nodes (such as ground wires): the harness temperature sensor is usually installed on the outside of the ground wire by bonding or winding to monitor its temperature changes; for load nodes (such as high-load areas): in current-intensive areas, such as near high-load cables or current busbars, the sensor is installed on the harness surface or wrapped in an insulation layer to monitor the temperature in real time.

[0052] Environmental monitoring of the battery system may include environmental monitoring of smoke, flammable gas, etc. of the battery system. Specifically, environmental monitoring may be performed by collecting data through corresponding sensors installed in the battery system.

[0053] 202. Obtain cell monitoring data of the cell from the battery management system.

[0054] The battery management system can collect at least one monitoring data of the battery cell's voltage, current, temperature, internal resistance, capacity, leakage, SOC, SOH, pressure, and gas signal.

[0055] Among them, voltage is one of the most basic parameters in battery cell monitoring, which is used to reflect the battery's charge state and energy level. Voltage monitoring can be performed through a sampling circuit to ensure that the total voltage of each battery cell and battery pack can be accurately measured; current monitoring helps to understand the battery's charge and discharge status, as well as the battery's load during charging or discharging; temperature is an important factor affecting battery performance and safety. Monitoring the battery cell temperature through a temperature sensor (such as NTC) can promptly detect problems such as overheating, making it easier to take corresponding protective measures later; internal resistance measurement can reflect the battery's aging and health status. The AC internal resistance measurement method is usually used to dynamically monitor the battery's internal resistance changes; capacity measurement is used to evaluate the battery's energy storage capacity, usually under static conditions; monitor pressure changes and gas signals inside the battery to provide a thermal runaway warning function.

[0056] 203. Based on the wiring harness monitoring data, the environmental monitoring data, and the battery cell monitoring data, a fire detection is performed on the battery system to obtain a fire detection result of the battery system.

[0057] In some embodiments, the battery system is subjected to fire detection based on the wiring harness monitoring data, the environmental monitoring data and the battery cell monitoring data to obtain a fire detection result of the battery system, including: comparing each data included in the wiring harness monitoring data, the environmental monitoring data and the battery cell monitoring data with a corresponding early warning threshold range, and comparing each data included in the wiring harness monitoring data, the environmental monitoring data and the battery cell monitoring data with a corresponding alarm threshold range to obtain a fire detection result of the battery system.

[0058] Among them, the warning threshold and the alarm threshold can be pre-set. Usually, the warning threshold refers to a situation with a lighter abnormality compared to the alarm threshold. For example, the normal working temperature range of the wiring harness is not higher than 80°C. For this, the corresponding temperature warning threshold range can be (80°C, 125°C], and the corresponding temperature alarm threshold is greater than 125°C.

[0059] In the above embodiment, by comparing each data included in the wiring harness monitoring data, the environmental monitoring data and the battery cell monitoring data with the corresponding warning threshold range, and comparing each data included in the wiring harness monitoring data, the environmental monitoring data and the battery cell monitoring data with the corresponding alarm threshold range, the detection result of each monitoring data can be accurately obtained, which is convenient for subsequent reasonable early warning processing of the battery system according to the fire detection result. For example, when only the wiring harness temperature warning occurs, there is no need to perform fire fighting or power off operations, and the staff can be prompted to perform high-frequency inspections and attention. If it is restored within the preset time range, the normal monitoring process can be restored to avoid equipment loss and property loss.

[0060] 204. Based on the fire detection results, early warning processing is carried out on the battery system.

[0061] In some embodiments, Figure 3 As shown, the early warning process of the battery system according to the fire detection result includes:

[0062] 2041. Determine the fire level based on the fire detection results.

[0063] In some embodiments, determining the fire level according to the fire detection result includes: if the fire detection result is that any data included in the wiring harness monitoring data, the environmental monitoring data and the battery cell monitoring data is within the corresponding warning threshold range, and none of them is within the corresponding alarm threshold range, then determining that the fire level is a warning fire level; if the fire detection result is that any data included in the wiring harness monitoring data, the environmental monitoring data and the battery cell monitoring data is within the corresponding alarm threshold range, then determining that the fire level is an alarm fire level.

[0064] It can be understood that when at least one monitoring data among multiple monitoring data exceeds the early warning range and enters the alarm range, the current fire level is determined to be the alarm fire level.

[0065] When the above situation does not exist and there is at least one monitoring data that enters the warning range, the current fire level is determined to be the warning fire level.

[0066] In theory, the early warning fire level can be further divided into multiple early warning fire levels, such as the first-level early warning fire level, the second-level early warning fire level and the third-level early warning fire level. Correspondingly, the early warning threshold range is also divided accordingly.

[0067] 2042. According to the fire level, determine the target response measures corresponding to the fire level, and perform early warning processing on the battery system according to the target response measures.

[0068] In some embodiments, determining the target response measures corresponding to the fire level according to the fire level includes: determining the target response measures corresponding to the fire level based on the correspondence between the fire level, a preset fire level and the target response measures.

[0069] The correspondence between fire levels and target response measures includes target response measures for different fire levels.

[0070] The relationship between the fire level and the target response measure may be preset, and the preset corresponding relationship between the fire level and the target response measure may be adjusted according to subsequent actual needs, so as to flexibly select the target response measure according to the fire level.

[0071] In a specific embodiment, the target response measures corresponding to the fire level are determined according to the fire level, including: if the fire level is a warning fire level, the target response measures are determined to generate warning information, and the warning information is configured to control the warning device to perform a warning operation; if the fire level is an alarm fire level, the target response measures are determined to generate alarm information and a power-off control instruction, the alarm information is configured to control the alarm device to perform a warning operation, and the power-off control instruction is configured to control the power-off device to perform a power-off operation.

[0072] Among them, the early warning equipment includes but is not limited to equipment that can prompt the attention of staff, such as display screens, buzzers, and indicator lights. Specifically, the specific target monitoring parameter type that causes the early warning can be displayed on the display screen to increase attention to the target monitoring parameter type.

[0073] Alarm equipment includes, but is not limited to, equipment with an intensity that can draw the attention of staff, such as high-intensity alarm horns and conspicuous warning lights.

[0074] It should be noted that the intelligent control unit is connected to the (automatic) power-off device. When fire warning signals such as overcurrent and overheating are detected, the intelligent control unit will issue a power-off command to trigger the automatic power-off device to take action. BMS mainly manages the charging and discharging process of the battery and monitors the overall status of the battery (such as voltage, current, and temperature). It does not directly control the power-off device, but it will pass the battery operating status information to the intelligent control unit. BMS can be used as one of the data sources for the intelligent control unit. When BMS detects an abnormality in the battery, it will feed back the relevant information to the intelligent control unit, and the intelligent control unit will decide whether to trigger a power outage based on the comprehensive information.

[0075] In an embodiment of the present application, based on the harness monitoring data, the environment monitoring data and the battery cell monitoring data, a fire detection is performed on the battery system to obtain a fire detection result of the battery system; then, based on the fire detection result, an early warning is performed on the battery system. Compared with the monitoring of the external environment, the embodiment of the present application monitors the environment, battery cells and harness of the battery system. When the monitoring data of the above-mentioned monitoring objects are found to be abnormal, fire detection can be performed in time and corresponding early warning processing can be performed. In this way, a fire early warning can be performed on the battery system from multiple angles, achieving a response in the early stage before the fire occurs, improving the timeliness of the fire early warning processing of the battery system, and avoiding the technical problem of untimely fire prevention.

[0076] In some embodiments, the battery system includes a sensor, and the method further includes: acquiring operating data of the sensor; and determining status data of the sensor based on the operating data, so as to perform a self-test on the sensor according to the status data.

[0077] Among them, the working principle and data acquisition method of the fault self-checking module: The function of the fault self-checking module is to check the status of each sensor regularly or when the system starts to ensure that they can work normally. If a sensor fails or feedback is abnormal, the system can detect it in time and take corresponding measures (such as reminding the user, entering protection mode or automatically powering off).

[0078] Data acquisition: Sensors provide real-time data to the fault self-check module, which may include parameters such as temperature and current. The self-check module periodically reads this data through the communication interface with these sensors.

[0079] Data range check: The self-check module determines whether the data fed back by the sensor is within the safe range based on the preset normal working range (such as current value range, upper and lower temperature limits, etc.). If the data of a sensor deviates from the normal range (such as the data is obviously too high, too low, or the sensor loses response), it will be marked as a fault.

[0080] Fault diagnosis: Data loss or unreasonable: If the sensor data is out of the normal range, or fails to provide valid data for a long time, the system will mark the sensor as faulty.

[0081] Sensor communication abnormality: The self-check module detects the communication status through the communication protocol with the sensor. If communication cannot be established for a long time, it is determined that there is a problem with the sensor.

[0082] The above embodiment can effectively reduce the failure rate of each sensor in the battery system during use by performing regular self-checks on the sensors in the battery system, thereby laying a foundation for collecting various monitoring data and improving the safety of the battery system.

[0083] In some embodiments, the method further includes: obtaining historical maintenance data, historical care data, and historical charge and discharge data of the battery system; extracting fire-related features related to causing fires from the historical maintenance data, historical care data, and historical charge and discharge data to obtain fire-related feature data; performing abnormal risk analysis on the fire-related features to predict the abnormal risk level of the battery system.

[0084] Among them, fire-related characteristics are related characteristics that cause fires in battery systems. These fire-related characteristics can be extracted from historical maintenance data, historical maintenance data, and historical charge and discharge data of the battery system. Specifically, the fire-related characteristics may include battery temperature characteristics, voltage characteristics, current characteristics, aging characteristics, consistency characteristics, charge and discharge cycle characteristics, sensor self-test characteristics, and characteristics related to wiring harnesses.

[0085] In the above embodiment, fire-related features related to fire causation are extracted from the historical repair data, historical maintenance data, and historical charge and discharge data to obtain fire-related feature data, and abnormal risk analysis is performed on the fire-related features to predict the abnormal risk level of the battery system. This can effectively predict the abnormal risk level of the battery system, help prevent abnormal risks in advance, reduce the probability of fire in the battery system during actual operation, and further improve the stability and safety of the battery system.

[0086] In a specific embodiment, performing abnormal risk analysis on fire-related characteristics and predicting the abnormal risk level of the battery system may include using a pre-trained abnormal risk model to perform abnormal risk analysis on fire-related characteristics and predicting the abnormal risk level of the battery system.

[0087] In some embodiments, the method further includes: determining a maintenance or repair strategy for the battery system based on the abnormal risk level, so as to maintain or repair the battery system based on the maintenance or repair strategy.

[0088] In a specific embodiment, based on the abnormal risk level, determining the maintenance or repair strategy of the battery system includes: determining the maintenance or repair strategy of the battery system based on the correspondence between the abnormal risk level and a preset abnormal risk level and the maintenance or repair strategy of the battery system.

[0089] The corresponding relationship between the abnormal risk level and the maintenance or repair strategy of the battery system may be preset based on past experience.

[0090] In the above embodiment, the maintenance or repair strategy of the battery system is determined by analyzing the abnormal risk level, and the battery system is maintained or repaired based on the maintenance or repair strategy. As a result, abnormal risks can be prevented in advance, reducing the probability of fire in the battery system during actual operation, and further improving the stability and safety of the battery system.

[0091] In one embodiment, the fire warning processing method provided in the present application can be applied to a fire warning processing system, including a battery system, wherein the battery system includes an intelligent control module, at least one wiring harness and a battery management system for monitoring battery cells, and the intelligent control module is connected to the battery management system; the intelligent control module is configured to obtain wiring harness monitoring data and environmental monitoring data of the wiring harness; obtain battery cell monitoring data of the battery cell from the battery management system; based on the wiring harness monitoring data, environmental monitoring data and battery cell monitoring data, perform fire detection on the battery system to obtain a fire detection result of the battery system; based on the fire detection result, perform warning processing on the battery system; the battery management system is configured to obtain the battery cell monitoring data and transmit the battery cell monitoring data to the intelligent control module.

[0092] Among them, the battery system also includes a temperature sensor, which is connected to the intelligent control module. The wiring harness monitoring data includes wiring harness temperature data, and the temperature sensor is configured to collect the wiring harness temperature data of the wiring harness in the battery system.

[0093] The temperature sensor is disposed at an electrical node of a wiring harness in the battery system, and the electrical node includes a connection node, a ground node, and a load node.

[0094] The battery system also includes a current sensor, which is connected to the intelligent control module. The wiring harness monitoring data includes wiring harness current data. The current sensor is configured to collect the wiring harness current data of the wiring harness in the battery system.

[0095] In some embodiments, the fire warning processing system also includes a power-off device, which is connected to the intelligent control module, and the intelligent control module is configured to generate a power-off control instruction based on the fire detection result; the power-off device is configured to perform a power-off operation based on the power-off control instruction.

[0096] The fire detection method and system provided in the present application perform fire detection on the battery system based on the wiring harness monitoring data, the environment monitoring data and the battery cell monitoring data to obtain a fire detection result of the battery system; then, based on the fire detection result, early warning processing is performed on the battery system. Compared with the monitoring of the external environment, the embodiment of the present application monitors the environment, battery cells and wiring harness of the battery system. When it is found that the monitoring data of the above-mentioned monitoring objects are abnormal, fire detection can be performed in time and corresponding early warning processing can be performed. In this way, fire warnings can be performed on the battery system from multiple angles, achieving a response in the early stage before the fire occurs, and avoiding the technical problem of untimely fire prevention.

[0097] It should be understood that, although the steps in the flowcharts involved in the above embodiments are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence according to the order indicated by the arrows. Unless there is a clear explanation in this article, the execution of these steps is not strictly limited in order, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above embodiments may include multiple steps or multiple stages, and these steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily carried out in sequence, but can be executed in turn or alternately with other steps or at least a part of the steps or stages in other steps.

[0098] Based on the same inventive concept, the embodiment of the present application also provides a fire warning processing device for implementing the fire warning processing method involved above. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme recorded in the above method, so the specific limitations in one or more fire warning processing device embodiments provided below can refer to the limitations of the fire warning processing method above, and will not be repeated here.

[0099] See also Figure 4 , a fire warning processing device is provided, which can be integrated in a computer device, including a first acquisition unit 401, a second acquisition unit 402, a fire detection unit 403 and a warning processing unit 404, wherein:

[0100] A first acquisition unit 401 is used to acquire wire harness monitoring data and environmental monitoring data of the wire harness;

[0101] A second acquisition unit 402 is used to acquire the battery cell monitoring data of the battery cell from the battery management system;

[0102] A fire detection unit 403, configured to perform fire detection on the battery system based on the wiring harness monitoring data, the environment monitoring data, and the battery cell monitoring data, and obtain a fire detection result of the battery system;

[0103] The early warning processing unit 404 is used to perform early warning processing on the battery system according to the fire detection result.

[0104] In some embodiments, the fire detection unit is also used to: compare each data included in the wiring harness monitoring data, the environmental monitoring data and the battery cell monitoring data with the corresponding warning threshold range, and compare each data included in the wiring harness monitoring data, the environmental monitoring data and the battery cell monitoring data with the corresponding alarm threshold range, to obtain the fire detection result of the battery system.

[0105] In some embodiments, the early warning processing unit is also used to: determine the fire level according to the fire detection result; determine the target response measures corresponding to the fire level according to the fire level, so as to perform early warning processing on the battery system according to the target response measures.

[0106] In some embodiments, the early warning processing unit is also used for: if the fire detection result is that any data included in the wiring harness monitoring data, the environmental monitoring data and the battery cell monitoring data is within the corresponding early warning threshold range, and none of them is within the corresponding alarm threshold range, then the fire level is determined to be a warning fire level; if the fire detection result is that any data included in the wiring harness monitoring data, the environmental monitoring data and the battery cell monitoring data is within the corresponding alarm threshold range, then the fire level is determined to be an alarm fire level.

[0107] In some embodiments, the early warning processing unit is further used to determine the target response measures corresponding to the fire level based on the correspondence between the fire level, the preset fire level and the target response measures.

[0108] In some embodiments, the early warning processing unit is also used for: if the fire level is a warning fire level, determining the target response measures to be generating early warning information, and the early warning information is configured to control the early warning device to perform early warning operations; if the fire level is an alarm fire level, determining the target response measures to be generating alarm information and power-off control instructions, and the alarm information is configured to control the alarm device to perform early warning operations, and the power-off control instructions are configured to control the power-off device to perform power-off operations.

[0109] In some embodiments, the battery system includes a sensor, and the device is further used to: obtain operating data of the sensor; determine status data of the sensor based on the operating data, so as to perform self-inspection on the sensor according to the status data.

[0110] In some embodiments, the device is also used to: obtain historical maintenance data, historical care data, and historical charge and discharge data of the battery system; extract fire-related features related to causing fires from the historical maintenance data, historical care data, and historical charge and discharge data to obtain fire-related feature data; perform abnormal risk analysis on the fire-related features to predict the abnormal risk level of the battery system.

[0111] In some embodiments, the device is further used to: determine a maintenance or repair strategy for the battery system based on the abnormal risk level, so as to maintain or repair the battery system based on the maintenance or repair strategy.

[0112] Each module in the above-mentioned devices can be implemented in whole or in part by software, hardware or a combination thereof. Each module can be embedded in or independent of the processor in the control device in the form of hardware, or can be stored in the memory of the computer device in the form of software, so that the processor can call and execute the operations corresponding to each module above.

[0113] Correspondingly, an embodiment of the present application also provides a computer device, which may be a terminal device or a server.

[0114] like Figure 5 As shown, Figure 5 A schematic diagram of the structure of a computer device provided in an embodiment of the present application. The computer device 1200 includes a processor 1201 having one or more processing cores, a memory 1202 having one or more computer-readable storage media, and a computer program stored in the memory 1202 and executable on the processor. The processor 1201 is electrically connected to the memory 1202. It will be understood by those skilled in the art that the computer device structure shown in the figure does not constitute a limitation on the computer device, and may include more or fewer components than shown in the figure, or combine certain components, or arrange the components differently.

[0115] The processor 1201 is the control center of the computer device 1200, and uses various interfaces and lines to connect various parts of the entire computer device 1200. By running or loading software programs and / or units stored in the memory 1202, and calling data stored in the memory 1202, the processor 1201 executes various functions of the computer device 1200 and processes data, thereby monitoring the computer device 1200 as a whole. The processor 1201 can be a central processing unit CPU, a graphics processing unit GPU, a network processor (Network Processor, NP), etc., and can implement or execute the various methods, steps and logic block diagrams disclosed in the embodiments of the present application.

[0116] In the embodiment of the present application, the processor 1201 in the computer device 1200 will load the instructions corresponding to the processes of one or more application programs into the memory 1202 according to the following steps, and the processor 1201 will run the application programs stored in the memory 1202, so as to realize various functions, such as: obtaining the wiring harness monitoring data and environmental monitoring data of the wiring harness; obtaining the battery cell monitoring data of the battery cell from the battery management system; based on the wiring harness monitoring data, environmental monitoring data and battery cell monitoring data, performing fire detection on the battery system to obtain the fire detection result of the battery system; and performing early warning processing on the battery system according to the fire detection result. The specific implementation of each of the above operations can be referred to the previous embodiments, which will not be repeated here.

[0117] Alternatively, if Figure 5 As shown, the computer device 1200 further includes: a touch screen 1203, a radio frequency circuit 1204, an audio circuit 1205, an input unit 1206, and a power supply 1207. The processor 1201 is electrically connected to the touch screen 1203, the radio frequency circuit 1204, the audio circuit 1205, the input unit 1206, and the power supply 1207, respectively. Those skilled in the art can understand that Figure 5 The computer device structure shown in the figure does not constitute a limitation on the computer device, and may include more or less components than shown in the figure, or combine certain components, or arrange the components differently.

[0118] The touch display screen 1203 can be used to display a graphical user interface and receive operation instructions generated by the user acting on the graphical user interface. The touch display screen 1203 may include a display panel and a touch panel. Among them, the display panel may be used to display information input by the user or information provided to the user and various graphical user interfaces of the computer device, which may be composed of graphics, text, icons, videos and any combination thereof. Optionally, the display panel may be configured in the form of a liquid crystal display (LCD), an organic light-emitting diode (OLED) and the like. The touch panel may be used to collect the user's touch operation on or near it (such as the user using any suitable object or attachment such as a finger, a stylus or the like on the touch panel or near the touch panel), and generate corresponding operation instructions, and the operation instructions execute corresponding programs. Optionally, the touch panel may include two parts: a touch detection device and a touch controller. Among them, the touch detection device detects the user's touch orientation, detects the signal brought by the touch operation, and transmits the signal to the touch controller; the touch controller receives the touch information from the touch detection device, converts it into the touch point coordinates, and then sends it to the processor 1201, and can receive the command sent by the processor 1201 and execute it. The touch panel can cover the display panel. When the touch panel detects a touch operation on or near it, it is transmitted to the processor 1201 to determine the type of touch event, and then the processor 1201 provides corresponding visual output on the display panel according to the type of touch event. In an embodiment of the present application, the touch panel and the display panel can be integrated into the touch display screen 1203 to realize the input and output functions. However, in some embodiments, the touch panel and the touch panel can be used as two independent components to realize the input and output functions. That is, the touch display screen 1203 can also be used as a part of the input unit 1206 to realize the input function.

[0119] The radio frequency circuit 1204 may be used to send and receive radio frequency signals, so as to establish wireless communication with a network device or other computer device through wireless communication, and to send and receive signals between the network device or other computer device.

[0120] The audio circuit 1205 can be used to provide an audio interface between the user and the computer device through a speaker and a microphone. The audio circuit 1205 can transmit the electrical signal converted from the received audio data to the speaker, which is converted into a sound signal for output; on the other hand, the microphone converts the collected sound signal into an electrical signal, which is received by the audio circuit 1205 and converted into audio data, and then the audio data is output to the processor 1201 for processing, and then sent to another computer device through the radio frequency circuit 1204, or the audio data is output to the memory 1202 for further processing. The audio circuit 1205 may also include an earphone jack to provide communication between an external headset and the computer device.

[0121] The input unit 1206 may be used to receive input numbers, character information or user feature information (such as fingerprint, iris, facial information, etc.), and to generate keyboard, mouse, joystick, optical or trackball signal inputs related to user settings and function control.

[0122] The power supply 1207 is used to supply power to various components of the computer device 1200. Optionally, the power supply 1207 can be logically connected to the processor 1201 through a power management system, so that the power management system can manage charging, discharging, and power consumption. The power supply 1207 can also include one or more DC or AC power supplies, recharging systems, power failure detection circuits, power converters or inverters, power status indicators, and other arbitrary components.

[0123] although Figure 5 Not shown, the computer device 1200 may also include a camera, a sensor, a wireless fidelity module, a Bluetooth module, etc., which will not be described in detail here.

[0124] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0125] A person of ordinary skill in the art will appreciate that all or part of the steps in the various methods of the above embodiments may be completed by instructions, or by controlling related hardware through instructions. The instructions may be stored in a computer-readable storage medium and loaded and executed by a processor.

[0126] To this end, an embodiment of the present application provides a computer-readable storage medium, in which a plurality of computer programs are stored, and the computer program can be loaded by a processor to execute any of the fire warning processing methods provided in the embodiments of the present application. The computer program can execute the following steps of the fire warning processing method: obtaining the wiring harness monitoring data and environmental monitoring data of the wiring harness; obtaining the battery cell monitoring data of the battery cell from the battery management system; based on the wiring harness monitoring data, environmental monitoring data and battery cell monitoring data, performing fire detection on the battery system to obtain the fire detection result of the battery system; and performing early warning processing on the battery system according to the fire detection result. The specific implementation of each of the above operations can be found in the previous embodiments, which will not be repeated here.

[0127] The computer-readable storage medium may include: a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, etc.

[0128] Since the computer program stored in the computer-readable storage medium can execute any fire warning processing method provided in the embodiments of the present application, the beneficial effects that can be achieved by any fire warning processing method provided in the embodiments of the present application can be achieved. Please refer to the previous embodiments for details and will not be repeated here.

[0129] According to one aspect of the present application, a computer program product or a computer program is also provided, the computer program product or the computer program includes a computer instruction, and the computer instruction is stored in a computer-readable storage medium. The processor of the computer device reads the computer instruction from the computer-readable storage medium, and the processor executes the computer instruction, so that the computer device executes the method provided in various optional implementations in the above embodiments.

[0130] In the above-mentioned fire warning processing device, computer-readable storage medium, computer equipment, and computer program product embodiments, the description of each embodiment has its own emphasis. For parts not described in detail in a certain embodiment, reference can be made to the relevant description of other embodiments. Those skilled in the art can clearly understand that for the convenience and simplicity of description, the specific working process and beneficial effects of the fire warning processing device, computer-readable storage medium, computer program product, computer equipment and its corresponding units described above can refer to the description of the fire warning processing method in the above embodiment, and will not be repeated here.

[0131] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0132] The embodiments of the present application are introduced in detail above. Specific examples are used in this article to illustrate the principles and implementation methods of the present application. The description of the above embodiments is only used to help understand the method and core idea of ​​the present application. At the same time, for technical personnel in this field, according to the idea of ​​the present application, there will be changes in the specific implementation method and application scope. In summary, the content of this specification should not be understood as a limitation on the present application.

Claims

1. A fire warning processing method, characterized in that: Applicable to a battery system, the battery system comprising a battery management system for monitoring battery cells, the battery system comprising at least one wiring harness, the method comprising: Acquiring wire harness monitoring data and environmental monitoring data of the wire harness; Obtain cell monitoring data of the battery cell from the battery management system; Based on the wiring harness monitoring data, the environment monitoring data, and the battery cell monitoring data, fire detection is performed on the battery system to obtain a fire detection result of the battery system; According to the fire detection result, early warning processing is performed on the battery system.

2. The fire warning processing method according to claim 1, characterized in that: The method of performing fire detection on the battery system based on the wiring harness monitoring data, the environment monitoring data, and the battery cell monitoring data to obtain a fire detection result of the battery system includes: Each data included in the wiring harness monitoring data, the environmental monitoring data and the battery cell monitoring data is compared with the corresponding warning threshold range, and each data included in the wiring harness monitoring data, the environmental monitoring data and the battery cell monitoring data is compared with the corresponding alarm threshold range to obtain the fire detection result of the battery system.

3. The fire warning processing method according to claim 1, characterized in that: The step of performing early warning processing on the battery system according to the fire detection result includes: determining a fire grade according to the fire detection result; According to the fire level, a target response measure corresponding to the fire level is determined, so that an early warning process is performed on the battery system according to the target response measure.

4. The fire warning processing method according to claim 3, characterized in that: Determining the fire level according to the fire detection result includes: If the fire detection result is that any data included in the wiring harness monitoring data, the environment monitoring data, and the battery cell monitoring data is within the corresponding warning threshold range, and none of them is within the corresponding alarm threshold range, then the fire level is determined to be a warning fire level; If the fire detection result is that any data included in the wiring harness monitoring data, the environment monitoring data and the battery cell monitoring data is within the corresponding alarm threshold range, the fire level is determined to be an alarm fire level.

5. The fire warning processing method according to claim 3, characterized in that: Determining target response measures corresponding to the fire level according to the fire level includes: If the fire level is a warning fire level, determining that the target response measure is to generate warning information, and the warning information is configured to control the warning device to perform a warning operation; If the fire level is an alarm fire level, the target response measures are determined to generate alarm information and power-off control instructions, the alarm information is configured to control the alarm device to perform a warning operation, and the power-off control instruction is configured to control the power-off device to perform a power-off operation.

6. A fire warning processing system, characterized in that: A battery system is included, wherein the battery system includes an intelligent control module, at least one wiring harness and a battery management system for monitoring battery cells, wherein the intelligent control module is connected to the battery management system; The intelligent control module is configured to obtain the wiring harness monitoring data and the environmental monitoring data of the wiring harness; obtain the battery cell monitoring data of the battery cell from the battery management system; Based on the harness monitoring data, the environment monitoring data and the battery cell monitoring data, fire detection is performed on the battery system to obtain a fire detection result of the battery system; and according to the fire detection result, early warning processing is performed on the battery system; The battery management system is configured to obtain the battery cell monitoring data and transmit the battery cell monitoring data to the intelligent control module.

7. The fire warning processing system according to claim 6, characterized in that: The battery system further includes a temperature sensor connected to the intelligent control module. The wiring harness monitoring data includes wiring harness temperature data. The temperature sensor is configured to collect the wiring harness temperature data of the wiring harness in the battery system.

8. The fire warning processing system according to claim 7, characterized in that: The temperature sensor is disposed at an electrical node of a wiring harness in the battery system, and the electrical node includes a connection node, a ground node, and a load node.

9. The fire warning processing system according to claim 6, characterized in that: The battery system further includes a current sensor connected to the intelligent control module. The wiring harness monitoring data includes wiring harness current data. The current sensor is configured to collect the wiring harness current data of the wiring harness in the battery system.

10. The fire warning processing system according to claim 6, characterized in that: It also includes a power-off device, which is connected to the intelligent control module, and the intelligent control module is configured to execute the fire warning processing method according to any one of claims 2 to 5.

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