Vehicle lithium ion battery thermal runaway early warning method, device, equipment and medium
By using multiple sensors to detect the gas concentration of lithium-ion batteries and calculate the weight coefficient, and combining the temperature and temperature rise rate data to calculate the weighted concentration change, the problem of inaccurate gas data processing in existing early warning methods is solved, and high-accuracy thermal runaway warning and timely risk response are achieved.
Patent Information
- Application Number
- CN202510888623.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-06-30
- Publication Date
- 2025-10-17
AI Technical Summary
Existing thermal runaway warning methods for vehicle lithium-ion batteries lack weighted processing of gas data, resulting in low warning accuracy and high false alarm rate.
Multiple sensors are used to detect the gas concentration released by lithium-ion batteries. The sensor weight coefficient is determined by Euclidean distance, and the weighted concentration change is calculated based on temperature and temperature rise rate data. Early warning is issued based on multiple characteristic parameters.
It significantly improves the accuracy of thermal runaway warning, reduces the false alarm rate, provides timely risk level classification and corresponding warning measures, and ensures vehicle and personal safety.
Smart Images
Figure CN120810040A_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The present application relates to the technical field of battery early warning, in particular to a vehicle lithium ion battery thermal runaway early warning method, device, equipment and medium. BACKGROUND
[0002] New energy electric vehicles are developing rapidly, and lithium ion batteries have become the mainstream choice of vehicle power batteries due to their high energy density, high output voltage, high cycle characteristics, and high charging rate. During the driving of the vehicle, the vehicle lithium ion battery has the risk of thermal runaway, and the occurrence of thermal runaway is characterized by rapid reaction, violent reaction and difficult control, which has serious safety hazards. Therefore, it is of great significance to perform thermal runaway early warning on the vehicle lithium ion battery.
[0003] At present, the thermal runaway early warning method of the vehicle lithium ion battery mainly obtains one or more data of the voltage, current and temperature of the battery as the characteristic parameter for early warning, establishes a thermal runaway early warning model, and analyzes the parameters according to the model to achieve the purpose of thermal runaway early warning. However, when the thermal runaway of the vehicle lithium ion battery occurs, the change of voltage and current is usually difficult to accurately obtain, and the existing thermal runaway early warning device mostly uses a single parameter and rarely considers the gas generated by the chemical reaction inside the battery as a characteristic parameter.
[0004] Although the existing thermal runaway early warning method involves monitoring the gas generated during thermal runaway, it lacks weighted processing of the gas concentration during the monitoring process, resulting in certain errors in the monitored related gas data, leading to false positives in the early warning method, and thus the accuracy of the battery thermal runaway early warning is not high. SUMMARY
[0005] Therefore, it is necessary to provide a vehicle lithium ion battery thermal runaway early warning method, device, equipment and medium to solve the technical problem of low accuracy of battery thermal runaway early warning due to lack of gas data processing during battery thermal runaway early warning.
[0006] In order to solve the above problems, in a first aspect, the present application provides a vehicle lithium ion battery thermal runaway early warning method, comprising: real-time acquisition of temperature data and temperature rise rate data of the vehicle lithium ion battery; detecting the gas concentration released by the lithium ion battery using multiple sensors, obtaining gas concentration data corresponding to each sensor, and determining the gas concentration change amount based on the gas concentration data; Taking the coordinates corresponding to the highest point of the temperature data as the heat source reference point, calculating the Euclidean distance between the position of each sensor and the heat source reference point, determining the weight coefficient of each sensor based on the Euclidean distance, and determining the weighted concentration change of each sensor based on the weight coefficient and the gas concentration change; Based on the temperature data, the temperature rise rate data, the weighted concentration change and the preset temperature threshold, the temperature rise rate threshold and the gas concentration threshold, an early warning is given for thermal runaway of the lithium-ion battery.
[0007] In one possible implementation, the multiple sensors are multiple carbon monoxide sensors; and the method of using the multiple sensors to detect the concentration of the gas released by the lithium-ion battery includes: The arrangement of the lithium-ion batteries is determined, and based on the arrangement of the lithium-ion batteries, a plurality of sensors are arranged in an interlaced manner, and the plurality of sensors are used to detect the concentration of the gas released by the lithium-ion batteries.
[0008] In a possible implementation, the weighted concentration change is: , in, For the The weight coefficient of each sensor; The weight coefficient is: , in, For the The weight coefficient of each sensor, For the The Euclidean distance between the sensor and the heat source reference point, is the attenuation factor, To prevent zero constant.
[0009] In one possible implementation, the early warning of thermal runaway of the lithium-ion battery based on the temperature data, the temperature rise rate data, the weighted concentration change, and the preset temperature threshold, the temperature rise rate threshold, and the gas concentration threshold includes: When the temperature data is greater than a temperature threshold, determining a first risk signal; When the weighted concentration change is greater than the gas concentration threshold, determining a second risk signal; When the temperature rise rate data is greater than a temperature rise rate threshold, determining a third risk signal; Based on the first risk signal, the second risk signal and the third risk signal, a warning is issued for thermal runaway of the lithium-ion battery.
[0010] In a possible implementation, the temperature threshold is ; the gas concentration threshold is 40 ppm; and the temperature rise rate threshold is and when the temperature rise rate rises to for 3 seconds, the temperature rise rate does not drop to the following.
[0011] In a possible implementation, the early warning of the thermal runaway of the lithium ion battery based on the first risk signal, the second risk signal and the third risk signal comprises: a first-level early warning of the thermal runaway of the lithium ion battery based on the first risk signal; a second-level early warning of the thermal runaway of the lithium ion battery based on the first risk signal and the second risk signal; a third-level early warning of the thermal runaway of the lithium ion battery based on the first risk signal and the third risk signal, or the second risk signal and the third risk signal, or the first risk signal, the second risk signal and the third risk signal.
[0012] In a possible implementation, the early warning of the thermal runaway of the lithium ion battery based on the first risk signal, the second risk signal and the third risk signal further comprises: when the first-level early warning of the thermal runaway of the lithium ion battery is performed, cooling the lithium ion battery, and issuing a yellow light warning and a sound reminder; when the second-level early warning of the thermal runaway of the lithium ion battery is performed, shutting down the output function of the lithium ion battery, cooling the lithium ion battery, and issuing a red light warning and a sound reminder; when the third-level early warning of the thermal runaway of the lithium ion battery is performed, shutting down the output function of the lithium ion battery, cooling the lithium ion battery, and issuing a red light warning and reminding the vehicle owner to get off the vehicle.
[0013] In a second aspect, the present application further provides a vehicle lithium ion battery thermal runaway early warning device, comprising: a temperature data acquisition module configured to acquire temperature data and temperature rise rate data of a vehicle lithium ion battery in real time; a gas concentration change amount determination module configured to detect the gas concentration released by the lithium ion battery using a plurality of sensors, obtain gas concentration data corresponding to each sensor, and determine a gas concentration change amount based on the gas concentration data; a weighted concentration change amount determination module configured to take the coordinates corresponding to the highest point of the temperature data as a heat source reference point, calculate the Euclidean distance between the position of each sensor and the heat source reference point, determine a weight coefficient of each sensor based on the Euclidean distance, and determine a weighted concentration change amount of each sensor based on the weight coefficient and the gas concentration change amount; The early warning module is configured to early warn the thermal runaway of the lithium ion battery based on the temperature data, the temperature rise rate data, the weighted concentration change amount, and preset temperature threshold, temperature rise rate threshold, and gas concentration threshold.
[0014] In a third aspect, the present application further provides a battery management device, comprising a processor and a memory. The memory stores a computer readable program that can be executed by the processor. The processor executes the computer readable program to implement the steps of the vehicle lithium ion battery thermal runaway early warning method.
[0015] In a fourth aspect, the present application further provides a computer readable storage medium for storing a computer readable program or instructions, which can implement the steps of the vehicle lithium ion battery thermal runaway early warning method when executed by a processor.
[0016] The present application has the following advantages: the temperature data and the temperature rise rate data of the vehicle lithium ion battery are obtained in real time; the gas concentration released by the lithium ion battery is detected by using multiple sensors to obtain the gas concentration data corresponding to each sensor, and the gas concentration change amount is determined based on the gas concentration data; the coordinates corresponding to the highest point of the temperature data are taken as the heat source reference point, the Euclidean distance between the position of each sensor and the heat source reference point is calculated, the weight coefficient of each sensor is determined based on the Euclidean distance, and the weighted concentration change amount of each sensor is determined based on the weight coefficient and the gas concentration change amount; the position of the heat source is determined by the temperature data, the heat source gas concentration weighting algorithm is introduced, the error caused by the complex working conditions of the vehicle is avoided, the gas is quantified for early warning from the chemical reaction level, the false positive rate of early warning is reduced, the thermal runaway of the lithium ion battery is early warned based on the temperature data, the temperature rise rate data, the weighted concentration change amount, and the preset temperature threshold, the temperature rise rate threshold, and the gas concentration threshold, the thermal runaway is analyzed and early warned by using the three characteristic parameters of temperature, gas concentration, and temperature rise rate, the preset threshold conforms to the characteristics of the thermal runaway of the lithium ion battery, and the accuracy of early warning is significantly improved. BRIEF DESCRIPTION OF DRAWINGS
[0017] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed in the embodiment description will be briefly introduced. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor.
[0018] Figure 1 An embodiment flowchart of the vehicle lithium ion battery thermal runaway early warning method provided by the present application is shown in the figure. Figure 2A schematic diagram of sensor placement of the vehicle lithium ion battery thermal runaway early warning method provided by the present application; Figure 3 A structural schematic diagram of an embodiment of the vehicle lithium ion battery thermal runaway early warning device provided by the present application; Figure 4 A structural schematic diagram of an embodiment of the battery management device provided by the present application. DETAILED DESCRIPTION
[0019] The preferred embodiments of the present application will be described in detail below with reference to the accompanying drawings, wherein the drawings constitute a part of this application and serve to explain the principles of the embodiments of the present application, but are not intended to limit the scope of the present application.
[0020] In this document, the term "embodiment" means that the specific features, structures, or characteristics described in connection with the embodiment can be included in at least one embodiment of the present application. The appearance of this phrase in various places in the specification does not necessarily mean that the same embodiment is referred to, nor does it mean that the embodiments are mutually exclusive or alternative to each other. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with each other.
[0021] The present application discloses a vehicle lithium ion battery thermal runaway early warning method, device, battery management device and medium, which can be used in a computer. The method, device or computer readable storage medium involved in the present application can be integrated with the above-mentioned device, or can be relatively independent.
[0022] One specific embodiment of the present application discloses a vehicle lithium ion battery thermal runaway early warning method, which can be executed by a computer, and specifically can be executed by one or more processors of the computer. As shown in Figure 1 The vehicle lithium ion battery thermal runaway early warning method includes: S101, acquiring temperature data and temperature rise rate data of the vehicle lithium ion battery in real time; It should be noted that the BMS system of the vehicle lithium ion battery detects the temperature and temperature rise rate of the battery in real time to obtain the temperature data and temperature rise rate data.
[0023] S102, detecting the gas concentration released by the lithium ion battery by using a plurality of sensors to obtain gas concentration data corresponding to each sensor, and determining a gas concentration change amount based on the gas concentration data; It should be noted that the gas sensors are arranged in an interleaved manner based on the battery arrangement mode, so that the carbon monoxide concentration detected by the gas sensors at each point on the vehicle lithium ion battery can be obtained.
[0024] S103, taking the coordinate corresponding to the highest point of the temperature data as a heat source reference point, calculating the Euclidean distance between the position of each sensor and the heat source reference point, determining the weight coefficient of each sensor based on the Euclidean distance, and determining the weighted concentration change of each sensor based on the weight coefficient and the gas concentration change; It should be noted that the position of the heat source is determined by the temperature data, the gas concentration weighting algorithm based on the heat source is introduced, the error caused by the complex working conditions of the vehicle is avoided, the gas is quantified for early warning from the level of chemical reaction, and the false positive rate of early warning is reduced.
[0025] S104, based on the temperature data, the temperature rise rate data, the weighted concentration change and the preset temperature threshold, the temperature rise rate threshold and the gas concentration threshold, the thermal runaway of the lithium ion battery is warned; It should be noted that the temperature, gas concentration and temperature rise rate are used to analyze and warn the thermal runaway, the preset threshold conforms to the characteristics of the thermal runaway of the lithium ion battery, and the accuracy of the warning is significantly improved.
[0026] In some embodiments, in step S101, the temperature data and the temperature rise rate data of the vehicle lithium ion battery are acquired in real time, the temperature and the temperature rise rate of the battery are detected in real time by the BMS system of the vehicle lithium ion battery, the temperature data and the temperature rise rate data of the vehicle lithium ion battery are obtained, the highest point of the temperature is determined according to the temperature data, the highest point of the temperature is taken as the heat source reference point, that is, the position of the heat source, and the position of the heat source is updated in real time.
[0027] In some embodiments, in step S102, a plurality of sensors are used to detect the gas concentration released by the lithium ion battery, the gas concentration data corresponding to each sensor is obtained, the gas concentration change is determined based on the gas concentration data, a plurality of gas sensors are arranged on the lithium ion battery, the plurality of gas sensors are a plurality of carbon monoxide sensors, the arrangement mode of the lithium ion battery is determined, the plurality of gas sensors are arranged in an interleaved manner based on the arrangement mode of the lithium ion battery, and a schematic diagram of the placement of the sensors is shown in Figure 2 As shown in Figure 2 , the sensors A, B, C, D, E and F arranged in an interleaved manner collect carbon monoxide gas concentration data at their own positions in real time, the gas concentration change is determined according to the carbon monoxide gas concentration data collected by each sensor in real time, and the gas concentration change is: , Among them, is the gas concentration change of the first sensor, is the initial gas concentration of the first sensor, is the initial gas concentration of the first sensor The time gas concentration; the initial gas concentration is: the initial value in the first 15 to 5 detection values before the gas sensor is acquired, and the arithmetic average value of the initial value is calculated, the arithmetic average value is the initial gas concentration value, and the initial value needs to meet: when the deviation of the detection value and the average value is less than 2ppm or less than 5%, the detection value can participate in the calculation of the arithmetic average value of the initial gas concentration.
[0028] The CO sensor arranged on the battery detects the change of CO concentration in real time, and the heat source position and the initial CO concentration are updated in real time. The CO sensor is cheap, and staggered cross arrangement is adopted, so that a large range of monitoring is realized by using fewer sensors, the economy of the early warning model is improved, the diversified feature parameter early warning is ensured, the increase of vehicle cost is reduced, and the popularization possibility is increased.
[0029] In some embodiments, in step S103, the coordinates corresponding to the highest point of the temperature data are taken as the heat source reference point, the Euclidean distance between the position of each sensor and the heat source reference point is calculated, the weight coefficient of each sensor is determined based on the Euclidean distance, and the weighted concentration change of each sensor is determined based on the weight coefficient and the gas concentration change; the highest point of the temperature data is determined according to the real-time collected temperature data, the coordinates corresponding to the highest point of the temperature are taken as the heat source reference point, the Euclidean distance between the position of each sensor and the heat source reference point is calculated , the weight coefficient of each sensor is determined based on the Euclidean distance , the weight coefficient of each sensor is: , Among them, is the weight coefficient of the i-th sensor, is the Euclidean distance between the i-th sensor and the heat source reference point, is the attenuation factor (value 1.2 to 1.5), is the zero constant (value 0.1); The weight coefficient is normalized to ensure ; The weight coefficient is normalized to ensure ; The weight coefficient of each sensor and the gas concentration change of each sensor are determined based on the weight coefficient of each sensor and the gas concentration change of each sensor, and the weighted concentration change of each sensor is the weighted sum of the concentration change of each sensor, and the weighted concentration change is: , Among them, is the weight coefficient of the i-th sensor.
[0030] In the monitoring of CO, the position of the heat source is determined by temperature data, a weighting algorithm based on the concentration of the heat source gas CO is introduced, some errors caused by complex working conditions of the vehicle are avoided, the determination logic of the weighted concentration of CO gas is clear in the direction of the heat source, conforms to the diffusion law of thermal runaway, and the anti-interference performance is enhanced.
[0031] In some embodiments, in step S104, the lithium ion battery thermal runaway is warned based on the temperature data, the temperature rise rate data, the weighted concentration change amount, and the preset temperature threshold, the temperature rise rate threshold, and the gas concentration threshold, the temperature threshold is , the temperature rise rate threshold is , and when the temperature rise rate rises to , the temperature rise rate does not decrease to within 3s, the following, the temperature rise rate threshold is and no recovery to In the method, the temperature data, the temperature rise rate data, and the weighted concentration change amount are compared with the temperature threshold value, the temperature rise rate threshold value, and the gas concentration threshold value respectively, the first risk signal is determined when the temperature data is greater than the temperature threshold value, the temperature data is greater than the temperature threshold value, at this time, the decomposition speed of the SEI film starts to be greater than the synthesis speed, which can cause the occurrence of the side reaction in the battery, and the battery starts to have the risk of thermal runaway; the second risk signal is determined when the weighted concentration change amount is greater than the gas concentration threshold value, the second risk signal is output when the CO concentration is abnormal when the weighted concentration change amount is greater than the gas concentration threshold value, at this time, the side reaction starts to occur in the battery, accompanied by heat release and gas generation, the released heat can be further accumulated, and the safety hazard is greatly improved; the third risk signal is determined when the temperature rise rate data is greater than the temperature rise rate threshold value, the third risk signal is output when the temperature rise rate exceeds the temperature rise rate threshold value, at this time, the temperature in the battery can sharply increase in a short time, and the thermal runaway stage is about to be reached; the thermal runaway of the lithium ion battery is warned based on the first risk signal, the second risk signal, and the third risk signal, the risk level is divided according to the output risk signal, the first level warning of the thermal runaway of the lithium ion battery is performed based on the first risk signal, that is, when only the first risk signal is output, that is, only the temperature is abnormal, the first level warning is entered, at this time, it only represents that the initial stage of the thermal runaway is entered, and the danger coefficient is low; the second level warning of the thermal runaway of the lithium ion battery is performed based on the first risk signal and the second risk signal, that is, when the first risk signal and the second risk signal are output, the temperature and the CO concentration are both abnormal, the second level warning is entered, at this time, it is considered that the side reaction occurs in the battery, accompanied by heat generation and gas release, the risk of thermal runaway is further improved, and the danger coefficient is increased; the third level warning of the thermal runaway of the lithium ion battery is performed based on the first risk signal and the third risk signal, or the second risk signal and the third risk signal, or the first risk signal, the second risk signal, and the third risk signal, that is, when the first risk signal and the third risk signal are output, the third level warning is entered, when the second risk signal and the third risk signal are output, the third level warning is also entered, when the first risk signal, the second risk signal, and the third risk signal are output, the third level warning is entered, that is, the temperature rise rate is abnormal, and at least one of the temperature and the CO concentration is abnormal, the third level warning is entered, at this time, the individual battery cell in the battery pack is about to have the thermal runaway, and there is a diffusion risk, and the danger coefficient is high; when only the third risk signal is output, the warning mechanism is not triggered, at this time, it is considered that the temperature rise rate is abnormal in a short time under individual extreme working conditions or environment of the vehicle.
[0032] According to the early warning level, corresponding measures are taken, when the first level early warning occurs, that is, the lithium ion battery thermal runaway is warned at the first level, the lithium ion battery is cooled, and a yellow light warning and a sound reminder are given, the battery temperature is reduced by starting the thermal management module, a yellow light warning is given, and a sound reminder is given, after the temperature is reduced, the sound reminder is turned off, and the yellow light is restored to green; when the second level early warning occurs, that is, the lithium ion battery thermal runaway is warned at the second level, the lithium ion battery output function is immediately closed, a red light warning and a sound reminder are given, the thermal management module is started to reduce the battery temperature, if the temperature is reduced to the normal temperature, the red light signal becomes yellow, and the vehicle owner is prompted to repair and replace the battery as soon as possible, which enters the second level early warning, which represents that the battery has occurred secondary reaction, and the battery has suffered irreversible damage, and should be checked or replaced immediately; when the third level early warning is sent, that is, the lithium ion battery thermal runaway is warned at the third level, the lithium ion battery output function is immediately closed, the cooling system is opened, a red light warning is given and the vehicle owner is reminded to get off the vehicle; if the flame is detected, the vehicle position information is sent to the fire platform, and the related fire safety work is carried out; if no flame is detected, and the temperature returns to normal, the red light becomes yellow, and the sound reminder continues to be given, and the battery replacement is prompted.
[0033] Considering that the threat degree of thermal runaway is different when the temperature, CO concentration and temperature rise rate reach the threshold, and the relationship between the temperature, CO concentration and temperature rise rate during thermal runaway, a three-level early warning mechanism is established, the gas is quantified from the chemical reaction level to reduce the false positive rate of early warning, the CO change amount is monitored through the early warning mechanism, which can more sensitively capture the gas production process such as SEI film decomposition; according to the risk of thermal runaway, the early warning is divided into three stages, the early warning range is expanded, there are corresponding measures in each early warning mechanism, the early warning information received by the vehicle owner is more timely and detailed, the early warning of the battery thermal runaway risk is realized, the cooling system is intervened in time, and the fire extinguishing system is pre-started, the risk of thermal runaway is reduced, and the safety of the vehicle and the person is guaranteed.
[0034] In summary, the vehicle lithium ion battery thermal runaway early warning method provided by the present application, the temperature data and the temperature rise rate data of the vehicle lithium ion battery are obtained in real time; a plurality of sensors are used to detect the gas concentration released by the lithium ion battery, obtain the gas concentration data corresponding to each sensor, and determine the gas concentration change amount based on the gas concentration data; the coordinates corresponding to the highest point of the temperature data are taken as the heat source reference point, the Euclidean distance between the positions of each sensor and the heat source reference point is calculated, the weight coefficient of each sensor is determined based on the Euclidean distance, and the weighted concentration change amount of each sensor is determined based on the weight coefficient and the gas concentration change amount; the temperature data, the temperature rise rate data, the weighted concentration change amount and the preset temperature threshold, the temperature rise rate threshold and the gas concentration threshold are used to early warn the lithium ion battery thermal runaway, and the accuracy of the vehicle lithium ion battery early warning is improved.
[0035] In order to better implement the vehicle lithium ion battery thermal runaway early warning method in the embodiments of the present application, on the basis of the vehicle lithium ion battery thermal runaway early warning method, corresponding, as shown in Figure 3 The present application also provides a vehicle lithium ion battery thermal runaway early warning device, as shown in The temperature data acquisition module 301 is configured to acquire temperature data and temperature rise rate data of the vehicle lithium ion battery in real time. The gas concentration change amount determination module 302 is configured to detect the gas concentration released by the lithium ion battery using a plurality of sensors, obtain gas concentration data corresponding to each sensor, and determine the gas concentration change amount based on the gas concentration data. The weighted concentration change amount determination module 303 is configured to take the coordinates corresponding to the highest point of the temperature data as the heat source reference point, calculate the Euclidean distance between the position of each sensor and the heat source reference point, determine the weight coefficient of each sensor based on the Euclidean distance, and determine the weighted concentration change amount of each sensor based on the weight coefficient and the gas concentration change amount. The early warning module 304 is configured to early warn the lithium ion battery thermal runaway based on the temperature data, the temperature rise rate data, the weighted concentration change amount, and the preset temperature threshold, temperature rise rate threshold, and gas concentration threshold.
[0036] As shown in Figure 4 The present application also provides a battery management device 400, which can be a mobile terminal, a desktop computer, a notebook computer, a palm computer, a server, or other computing devices. The battery management device 400 includes a processor 401, a memory 402, and a display 403. Figure 4 Only some components of the battery management device 400 are shown, but it should be understood that all the shown components are not required to be implemented, and more or less components can be alternatively implemented.
[0037] The memory 402 can be an internal storage unit of the battery management device 400 in some embodiments, such as a hard disk or a memory of the battery management device 400. The memory 402 can also be an external storage device of the battery management device 400 in other embodiments, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) card, a Flash Card, etc. equipped on the battery management device 400. Further, the memory 402 can include both the internal storage unit and the external storage device of the battery management device 400. The memory 402 is used to store application software and various data installed on the battery management device 400, such as program codes installed on the battery management device 400. The memory 402 can also be used to temporarily store data that has been output or is to be output. In an embodiment, the memory 402 stores a vehicle lithium ion battery thermal runaway early warning program, which can be executed by the processor 401 to implement the vehicle lithium ion battery thermal runaway early warning method of the embodiments.
[0038] The processor 401 can be a Central Processing Unit (CPU), a microprocessor or other data processing chip in some embodiments, used to run program codes or process data stored in the memory 402, such as the vehicle lithium ion battery thermal runaway early warning method.
[0039] The display 403 can be an LED display, a liquid crystal display, a touch liquid crystal display, an OLED (Organic Light-Emitting Diode) touch, etc. in some embodiments. The display 403 is used to display identification information of the vehicle lithium ion battery thermal runaway early warning program and to display a visual user interface. The components 401-403 of the battery management device 400 communicate with each other through a system bus.
[0040] In some embodiments, when the processor 401 executes the vehicle lithium ion battery thermal runaway early warning program in the memory 402, each step in the vehicle lithium ion battery thermal runaway early warning method described in the above embodiments is implemented. Since the vehicle lithium ion battery thermal runaway early warning method has been described in detail above, no further description is given here.
[0041] Correspondingly, the application also provides a computer-readable storage medium for storing computer-readable programs or instructions, which can implement the steps or functions in the vehicle lithium ion battery thermal runaway early warning method provided by the above method embodiments when executed by a processor.
[0042] Those skilled in the art can understand that all or part of the processes of the above-mentioned embodiment methods can be completed by instructing the relevant hardware by a computer program, and the program can be stored in a computer readable storage medium. The computer readable storage medium is a disk, an optical disk, a read-only memory, a random access memory, etc.
[0043] The above description is merely preferred specific embodiments of the present application, but the protection scope of the present application is not limited thereto, and any person skilled in the art can easily think of changes or replacements within the technical scope disclosed by the present application, which should be covered within the protection scope of the present application.
Claims
1. A vehicle lithium-ion battery thermal runaway early warning method, characterized in that: include: Real-time acquisition of vehicle lithium-ion battery temperature data and temperature rise rate data; Using multiple sensors to detect the gas concentration released by the lithium-ion battery, obtaining gas concentration data corresponding to each sensor, and determining the gas concentration change based on the gas concentration data; Taking the coordinates corresponding to the highest point of the temperature data as the heat source reference point, calculating the Euclidean distance between the position of each sensor and the heat source reference point, determining the weight coefficient of each sensor based on the Euclidean distance, and determining the weighted concentration change of each sensor based on the weight coefficient and the gas concentration change; Based on the temperature data, the temperature rise rate data, the weighted concentration change and the preset temperature threshold, the temperature rise rate threshold and the gas concentration threshold, an early warning is given for thermal runaway of the lithium-ion battery.
2. The vehicle lithium-ion battery thermal runaway early warning method according to claim 1, characterized in that: The multiple sensors are multiple carbon monoxide sensors; the multiple sensors are used to detect the concentration of gas released by the lithium-ion battery, including: The arrangement of the lithium-ion batteries is determined, and based on the arrangement of the lithium-ion batteries, a plurality of sensors are arranged in an interlaced manner, and the plurality of sensors are used to detect the concentration of the gas released by the lithium-ion batteries.
3. The vehicle lithium-ion battery thermal runaway early warning method according to claim 1, characterized in that: The weighted concentration variation is: ， in, For the The weight coefficient of each sensor; The weight coefficient is: ， in, For the The weight coefficient of each sensor, For the The Euclidean distance between the sensor and the heat source reference point, is the attenuation factor, To prevent zero constant.
4. The vehicle lithium-ion battery thermal runaway early warning method according to claim 1, characterized in that: The early warning of thermal runaway of the lithium-ion battery based on the temperature data, the temperature rise rate data, the weighted concentration change, and the preset temperature threshold, the temperature rise rate threshold, and the gas concentration threshold includes: When the temperature data is greater than a temperature threshold, determining a first risk signal; When the weighted concentration change is greater than the gas concentration threshold, determining a second risk signal; When the temperature rise rate data is greater than a temperature rise rate threshold, determining a third risk signal; Based on the first risk signal, the second risk signal and the third risk signal, a warning is issued for thermal runaway of the lithium-ion battery.
5. The vehicle lithium-ion battery thermal runaway early warning method according to claim 4, characterized in that: The temperature threshold is ; The gas concentration threshold is 40ppm; the temperature rise rate threshold is And when the temperature rise rate increases to After that, the temperature rise rate did not drop to the following.
6. The vehicle lithium-ion battery thermal runaway early warning method according to claim 4, characterized in that: The early warning of thermal runaway of the lithium-ion battery based on the first risk signal, the second risk signal, and the third risk signal includes: Providing a first-level early warning for thermal runaway of the lithium-ion battery based on the first risk signal; Performing a secondary early warning for thermal runaway of the lithium-ion battery based on the first risk signal and the second risk signal; Based on the first risk signal and the third risk signal or the second risk signal and the third risk signal or the first risk signal, the second risk signal and the third risk signal, a three-level warning is given for thermal runaway of the lithium-ion battery.
7. The vehicle lithium-ion battery thermal runaway early warning method according to claim 6, characterized in that: The step of providing an early warning for thermal runaway of the lithium-ion battery based on the first risk signal, the second risk signal, and the third risk signal further includes: When a first-level warning is issued for thermal runaway of the lithium-ion battery, the lithium-ion battery is cooled, and a yellow light warning and an audible reminder are issued; When a second-level warning is issued for thermal runaway of the lithium-ion battery, the output function of the lithium-ion battery is shut down, the lithium-ion battery is cooled, and a red light warning and an audible reminder are issued; When a third-level warning is issued for thermal runaway of the lithium-ion battery, the output function of the lithium-ion battery is shut down, the lithium-ion battery is cooled, a red light warning is issued, and the owner is reminded to get off the vehicle.
8. A vehicle lithium-ion battery thermal runaway warning device, characterized in that: include: Temperature data acquisition module, used to obtain temperature data and temperature rise rate data of vehicle lithium-ion batteries in real time; a gas concentration change determination module, configured to detect the gas concentration released by the lithium-ion battery using a plurality of sensors, obtain gas concentration data corresponding to each sensor, and determine the gas concentration change based on the gas concentration data; a weighted concentration change determination module, configured to calculate the Euclidean distance between the position of each sensor and the heat source reference point, using the coordinates corresponding to the highest point of the temperature data as the heat source reference point; determine the weight coefficient of each sensor based on the Euclidean distance; and determine the weighted concentration change of each sensor based on the weight coefficient and the gas concentration change; The early warning module is used to provide early warning for thermal runaway of the lithium-ion battery based on the temperature data, the temperature rise rate data, the weighted concentration change, and the preset temperature threshold, the temperature rise rate threshold, and the gas concentration threshold.
9. A battery management device, characterized in that: including memory and processor; The memory stores a computer-readable program executable by the processor; When the processor executes the computer-readable program, the steps of the vehicle lithium-ion battery thermal runaway warning method according to any one of claims 1 to 7 are implemented.
10. A computer-readable storage medium, characterized in that Used to store computer-readable programs or instructions, which, when executed by a processor, can implement the steps of the vehicle lithium-ion battery thermal runaway warning method as described in any one of claims 1 to 7.