Safety guidance method for vehicle thermal runaway based on multi-modal perception and electric vehicle

Abstract

This application provides a vehicle thermal runaway safety guidance method and an electric vehicle based on multimodal perception. The method extracts the maximum temperature value and temperature rise rate from the temperature data of the electric vehicle's power battery within a preset time period, as well as the maximum concentration of toxic gases inside the vehicle within the preset time period. Then, based on the maximum temperature value, temperature rise rate, maximum concentration, and collision flag, a thermal runaway risk coefficient of the electric vehicle is determined. If the thermal runaway risk coefficient exceeds a set threshold, a safety guidance strategy is determined based on the thermal runaway risk coefficient. Finally, based on the safety guidance strategy, the electric vehicle is controlled to perform safety guidance operations. The determined safety guidance strategy has high reliability and can safely guide occupants to escape.

Description

Technical Field

[0001] This application relates to the field of vehicle safety technology, and in particular to a safety guidance method for vehicle thermal runaway based on multimodal perception and an electric vehicle. Background Technology

[0002] The risk of thermal runaway in vehicle batteries refers to the potential danger that can occur when the battery cell temperature rises rapidly due to internal short circuits, overcharging, mechanical damage (such as collisions or crushing), or failure of the thermal management system, and cannot be effectively dissipated, leading to a chain reaction of exothermic reactions and ultimately causing the battery to smoke, catch fire, or even explode. Therefore, it is necessary to promptly identify when thermal runaway has occurred in a vehicle and provide guidance to occupants to facilitate their escape.

[0003] Currently, relying solely on data from a single dimension (such as when the battery temperature is high) to determine if a vehicle has experienced thermal runaway results in false alarms and missed alarms, leading to low reliability. Summary of the Invention

[0004] This application provides a safety guidance method for vehicle thermal runaway based on multimodal perception and an electric vehicle, which solves the problem of low reliability in the prior art when determining that a vehicle has experienced thermal runaway, with false alarms and missed alarms.

[0005] Firstly, this application also provides a safety guidance method for vehicle thermal runaway based on multimodal perception, applied to the on-board controller of an electric vehicle. The on-board controller is communicatively connected to the multimodal data acquisition module of the electric vehicle. The method provided in this application includes: During the operation of the electric vehicle, multimodal data is collected by the multimodal data acquisition module. The multimodal data includes the temperature data of the electric vehicle's power battery, the concentration of toxic gases inside the vehicle, and the collision marker position within a previously preset time period. Extract the maximum temperature value and the temperature rise rate of the power battery temperature data of the electric vehicle within a preset time period, and extract the maximum concentration of toxic gases inside the vehicle within a preset time period. The thermal runaway risk coefficient of electric vehicles is determined based on the maximum temperature value, the rate of temperature rise, the maximum concentration, and the collision flag. The thermal runaway risk coefficient is positively correlated with the maximum temperature value, the rate of temperature rise, the maximum concentration, and the collision flag. If the thermal runaway risk coefficient is greater than the set threshold, a safety guidance strategy shall be determined based on the thermal runaway risk coefficient. Based on the safety guidelines, control the electric vehicle to perform the safety guidelines.

[0006] In some implementations, the thermal runaway risk coefficient of an electric vehicle is determined based on the maximum temperature value, the rate of temperature increase, the maximum concentration, and the collision marker, including: Determine the first difference between the maximum temperature value and the preset safe temperature, and the second difference between the preset battery critical danger temperature threshold and the preset safe temperature; The thermal runaway risk coefficient of electric vehicles is determined based on the ratio of the first difference to the second difference, the ratio of the temperature rise rate to the preset critical dangerous temperature rise rate threshold, the maximum concentration to the preset critical dangerous concentration threshold, and the collision flag.

[0007] In some implementations, the thermal runaway risk coefficient of an electric vehicle is determined based on the ratio of a first difference to a second difference, the ratio of the temperature rise rate to a preset critical dangerous temperature rise rate threshold, the maximum concentration to a preset critical dangerous concentration threshold, and a collision flag, including: According to the formula To determine the thermal runaway risk coefficient of electric vehicles, among which... The thermal runaway risk coefficient, This is the maximum temperature value. The preset safe temperature, The preset critical hazardous concentration threshold, For maximum concentration, The preset critical hazardous concentration threshold, This is the collision flag. The value of the collision flag is 1 when a collision occurs, and 0 when no collision occurs. As the preset first weight, As the preset second weight, As the preset third weight, As the preset fourth weight, and .

[0008] In some implementations, safety guidance strategies are determined based on the thermal runaway risk factor, including: When the thermal runaway risk coefficient is within the first preset range, the safety guidance strategy is determined to be: outputting a prompt message indicating abnormal power battery temperature.

[0009] In some implementations, determining the safety guidance strategy based on the thermal runaway risk coefficient also includes: When the thermal runaway risk coefficient is within the second preset range, the safety guidance strategy is determined as follows: output alarm information indicating thermal runaway of the power battery, and control the opening of the windows and sunroof of the electric vehicle and the unlocking of the doors, wherein the lower limit of the second preset range is greater than the upper limit of the first preset range.

[0010] In some embodiments, after outputting alarm information indicating thermal runaway of the power battery and controlling the opening of the vehicle's windows and sunroof as well as the unlocking of the doors, the method provided in this application further includes: If the vehicle speed is not reduced or the concentration of toxic gas inside the vehicle is not decreased, the vehicle's central control screen and / or speakers will be controlled to output a prompt message instructing the occupants to stop the vehicle and evacuate.

[0011] In some implementations, the first preset interval is (0.3, 0.7), and the second preset interval is [0.7, 1].

[0012] In a second aspect, this application also provides an electric vehicle, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the electric vehicle performs the method provided in the first aspect of this application.

[0013] Thirdly, this application also provides a storage medium storing a computer program, which, when executed by a processor, causes the computer to perform the method provided in the first aspect of this application.

[0014] Fourthly, this application also provides a computer program product, including a computer program that, when run, causes an electric vehicle to perform the method provided in the first aspect of this application.

[0015] This application provides a vehicle thermal runaway safety guidance method and an electric vehicle based on multimodal perception. It can extract the maximum temperature value and temperature rise rate from the temperature data of the electric vehicle's power battery within a preset time period, as well as the maximum concentration of toxic gases inside the vehicle within the preset time period. Then, based on the maximum temperature value, temperature rise rate, maximum concentration, and collision flag, a thermal runaway risk coefficient of the electric vehicle is determined. The thermal runaway risk coefficient is positively correlated with the maximum temperature value, temperature rise rate, maximum concentration, and collision flag, respectively. If the thermal runaway risk coefficient exceeds a set threshold, a safety guidance strategy is determined based on the thermal runaway risk coefficient. Finally, the electric vehicle is controlled to perform safety guidance operations according to the safety guidance strategy. Because the safety guidance strategy considers the maximum temperature value and temperature rise rate from the electric vehicle's power battery temperature data within the preset time period, the maximum concentration of toxic gases inside the vehicle within the preset time period, and the collision flag, the determined safety guidance strategy has high reliability and can safely guide occupants to escape. Attached Figure Description

[0016] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0017] Figure 1 A circuit module block diagram of an electric vehicle provided in an embodiment of this application; Figure 2 A flowchart of a vehicle thermal runaway safety guidance method based on multimodal perception provided in an embodiment of this application; Figure 3 A schematic diagram of the functional units of the vehicle thermal runaway safety guidance device based on multimodal perception provided in the embodiments of this application. Detailed Implementation

[0018] Embodiments of the present disclosure will now be described with reference to the accompanying drawings. However, it should be understood that these descriptions are exemplary only and are not intended to limit the scope of the disclosure. Furthermore, descriptions of well-known structures and technologies are omitted in the following description to avoid unnecessarily obscuring the concepts of the present disclosure.

[0019] The accompanying drawings illustrate various structural schematics according to embodiments of the present disclosure. These drawings are not to scale, and some details have been enlarged for clarity, and some details may have been omitted. The shapes of the various regions and layers shown in the drawings, as well as their relative sizes and positional relationships, are merely exemplary and may deviate from reality due to manufacturing tolerances or technical limitations. Furthermore, those skilled in the art can design regions / layers with different shapes, sizes, and relative positions as needed.

[0020] In the context of this disclosure, when a layer / element is referred to as being "above" another layer / element, the layer / element may be directly above the other layer / element, or there may be an intermediate layer / element between them. Additionally, if a layer / element is "above" another layer / element in one orientation, then when the orientation is reversed, the layer / element may be "below" the other layer / element.

[0021] The technical solutions of this application and how they solve the aforementioned technical problems will be described in detail below with specific embodiments. These specific embodiments can be combined with each other, and the same or similar concepts or processes may not be repeated in some embodiments. The embodiments of this application will now be described with reference to the accompanying drawings.

[0022] This application also provides a safety guidance method for vehicle thermal runaway based on multimodal perception, applied to the on-board controller of an electric vehicle. For example... Figure 1 As shown, the vehicle controller is communicatively connected to the multimodal data acquisition module of the electric vehicle. Exemplarily, the multimodal data acquisition module includes a temperature data acquisition module, a toxic gas concentration acquisition module, and an airbag controller. The temperature data acquisition module is used to acquire the temperature data of the electric vehicle's power battery, the toxic gas concentration acquisition module is used to acquire the concentration of toxic gases inside the vehicle, and the airbag controller is used to record collision flags. Figure 2 As shown, the method provided in this application embodiment includes: S201: During the operation of the electric vehicle, receive multimodal data collected by the multimodal data acquisition module.

[0023] Multimodal data includes the temperature data of the electric vehicle's power battery, the concentration of toxic gases (such as hydrogen fluoride HF and volatile organic compounds VOC) in the vehicle, and the collision marker position within a previously preset time period (such as 30 seconds).

[0024] S202: Extract the maximum temperature value and the temperature rise rate of the power battery temperature data of the electric vehicle within a preset time period, and extract the maximum concentration of toxic gases inside the vehicle within a preset time period.

[0025] S203: Determine the thermal runaway risk coefficient of electric vehicles based on the maximum temperature value, temperature rise rate, maximum concentration, and collision flag. The thermal runaway risk coefficient is positively correlated with the maximum temperature value, temperature rise rate, maximum concentration, and collision flag.

[0026] Specifically, the first difference between the maximum temperature value and the preset safe temperature, and the second difference between the preset critical dangerous temperature threshold of the battery and the preset safe temperature can be determined. Based on the ratio of the first difference to the second difference, the ratio of the temperature rise rate to the preset critical dangerous temperature rise rate threshold, the maximum concentration to the preset critical dangerous concentration threshold, and the collision flag, the thermal runaway risk coefficient of the electric vehicle can be determined.

[0027] For example, according to the formula To determine the thermal runaway risk coefficient of electric vehicles. The thermal runaway risk coefficient, This is the maximum temperature value. The preset safe temperature, The preset critical hazardous concentration threshold, For maximum concentration, The preset critical hazardous concentration threshold, This is the collision flag. The value of the collision flag is 1 when a collision occurs, and 0 when no collision occurs. As the preset first weight, As the preset second weight, As the preset third weight, As the preset fourth weight, and .For example,

[0028] S204: When the thermal runaway risk coefficient is greater than the set coefficient threshold, determine the safety guidance strategy based on the thermal runaway risk coefficient.

[0029] For example, the coefficient threshold can be, but is not limited to, 0.25 and 0.3.

[0030] When the thermal runaway risk coefficient is within the first preset range, the safety guidance strategy is determined as follows: output a prompt message indicating abnormal power battery temperature, and the first preset range can be (0.3, 0.7).

[0031] When the thermal runaway risk coefficient is within the second preset range, the safety guidance strategy is determined as follows: output alarm information indicating thermal runaway of the power battery, and control the opening of the windows and sunroof of the electric vehicle and the unlocking of the doors. The lower limit of the second preset range is greater than the upper limit of the first preset range, which can be (0.7, 1).

[0032] S205: Control the electric vehicle to perform safety guidelines in accordance with the safety guidelines policy.

[0033] For example, if the established safety guidance strategy is to output a warning message indicating an abnormal battery temperature, then the vehicle's central control screen or speakers will output this warning message. This allows occupants to be alerted in advance of an abnormal battery temperature, highlighting the potential risk of thermal runaway and necessitating early intervention to manage the risk.

[0034] When the safety guidance strategy is determined to be: outputting alarm information indicating thermal runaway of the power battery, and controlling the opening of the windows and sunroof and the unlocking of the doors of the electric vehicle, the central control screen or speakers of the vehicle will output alarm information indicating thermal runaway of the power battery (such as Please stop immediately and evacuate! The windows and sunroof are open, please leave quickly through the windows or doors!), and control the opening of the windows and sunroof and the unlocking of the doors of the electric vehicle, providing multi-dimensional escape routes for the occupants of the vehicle.

[0035] After controlling the opening of the windows and sunroof of the electric vehicle and the unlocking of the doors, the method provided in this application embodiment further includes: if it is detected that the speed of the electric vehicle has not slowed down or the concentration of toxic gas inside the vehicle has not decreased, then controlling the vehicle's central control screen and / or speakers to output prompt information instructing the occupants to stop the vehicle and evacuate, which can further guide the occupants to escape.

[0036] In summary, the vehicle thermal runaway safety guidance method based on multimodal perception provided in this application can extract the maximum temperature value and temperature rise rate from the temperature data of the electric vehicle's power battery within a preset time period, as well as the maximum concentration of toxic gases inside the vehicle within the preset time period. Then, based on the maximum temperature value, temperature rise rate, maximum concentration, and collision flag, a thermal runaway risk coefficient of the electric vehicle is determined, wherein the thermal runaway risk coefficient is positively correlated with the maximum temperature value, temperature rise rate, maximum concentration, and collision flag. If the thermal runaway risk coefficient exceeds a set threshold, a safety guidance strategy is determined based on the thermal runaway risk coefficient. Finally, the electric vehicle is controlled to perform safety guidance operations according to the safety guidance strategy. Because the safety guidance strategy considers the maximum temperature value and temperature rise rate from the electric vehicle's power battery temperature data within the preset time period, the maximum concentration of toxic gases inside the vehicle within the preset time period, and the collision flag, the determined safety guidance strategy has high reliability and can safely guide occupants to escape.

[0037] like Figure 3 As shown, this application embodiment also provides a vehicle thermal runaway safety guidance device based on multimodal perception, applied to the on-board controller of an electric vehicle. The on-board controller is communicatively connected to the multimodal data acquisition module of the electric vehicle. It should be noted that the basic principle and technical effects of the vehicle thermal runaway safety guidance device based on multimodal perception provided in this application embodiment are the same as those in the above embodiments. For the sake of brevity, any parts not mentioned in this application embodiment can be referred to the corresponding content in the above embodiments. The device provided in this application embodiment includes a data receiving unit, a data extraction unit, a coefficient determination unit, a strategy determination unit, and an operation execution unit, wherein... The data receiving unit is used to receive multimodal data collected by the multimodal data acquisition module during the operation of the electric vehicle. The multimodal data includes the temperature data of the electric vehicle's power battery, the concentration of toxic gases inside the vehicle, and the collision marker position within a previously preset time period.

[0038] The data extraction unit is used to extract the maximum temperature value and the temperature rise rate of the power battery temperature data of the electric vehicle within a preset time period, as well as the maximum concentration of toxic gases inside the vehicle within a preset time period.

[0039] The coefficient determination unit is used to determine the thermal runaway risk coefficient of electric vehicles based on the maximum temperature value, temperature rise rate, maximum concentration and collision flag. The thermal runaway risk coefficient is positively correlated with the maximum temperature value, temperature rise rate, maximum concentration and collision flag, respectively. The strategy determination unit is used to determine a safety guidance strategy based on the thermal runaway risk coefficient when the thermal runaway risk coefficient is greater than a set coefficient threshold. The operation execution unit is used to control the electric vehicle to perform the operations required by the safety guidelines, based on the safety guidelines policy.

[0040] In some implementations, the coefficient determination unit is specifically used to determine a first difference between the maximum temperature value and a preset safe temperature, a second difference between a preset battery critical dangerous temperature threshold and a preset safe temperature; and to determine the thermal runaway risk coefficient of the electric vehicle based on the ratio of the first difference to the second difference, the ratio of the temperature rise rate to a preset critical dangerous temperature rise rate threshold, the maximum concentration to a preset critical dangerous concentration threshold, and the collision flag.

[0041] In some implementations, the coefficient determination unit is specifically used to determine the coefficients based on the formula. To determine the thermal runaway risk coefficient of electric vehicles. The thermal runaway risk coefficient, This is the maximum temperature value. The preset safe temperature, The preset critical hazardous concentration threshold, For maximum concentration, The preset critical hazardous concentration threshold, This is the collision flag. The value of the collision flag is 1 when a collision occurs, and 0 when no collision occurs. As the preset first weight, As the preset second weight, As the preset third weight, As the preset fourth weight, and .

[0042] In some implementations, the strategy determination unit is specifically used to determine the safety guidance strategy as follows when the thermal runaway risk coefficient is within a first preset range: outputting a prompt message indicating an abnormal temperature of the power battery.

[0043] In some implementations, the strategy determination unit is specifically used to determine the safety guidance strategy as follows when the thermal runaway risk coefficient is in a second preset range: outputting alarm information indicating that the power battery has experienced thermal runaway, and controlling the opening of the windows and sunroof of the electric vehicle and the unlocking of the doors, wherein the lower limit of the second preset range is greater than the upper limit of the first preset range.

[0044] In some embodiments, after outputting alarm information indicating thermal runaway of the power battery and controlling the opening of the windows and sunroof of the electric vehicle and the unlocking of the doors, the device provided in this application embodiment further includes: if it is detected that the speed of the electric vehicle has not decelerated or the concentration of toxic gas inside the vehicle has not decreased, controlling the vehicle's central control screen and / or speakers to output prompt information instructing the occupants to stop the vehicle and evacuate.

[0045] In some implementations, the first preset interval is (0.3, 0.7), and the second preset interval is [0.7, 1].

[0046] In addition, this application also provides an electric vehicle, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it causes the electric vehicle to perform the method provided in the above embodiments of this application.

[0047] In addition, embodiments of this application also provide a storage medium storing a computer program, which, when executed by a processor, causes the computer to perform the method provided in the first aspect of this application.

[0048] In addition, this application also provides a computer program product, including a computer program that, when run, causes an electric vehicle to perform the method provided in the above embodiments of this application.

[0049] The above description does not provide detailed technical specifications regarding the structure of each layer. However, those skilled in the art should understand that layers and regions of desired shapes can be formed using various technical means. Furthermore, to form the same structure, those skilled in the art can also design methods that are not entirely identical to those described above. Additionally, although various embodiments have been described above, this does not mean that the measures in the various embodiments cannot be advantageously combined.

[0050] Although preferred embodiments of this application have been described, those skilled in the art, upon learning the basic inventive concept, can make other changes and modifications to these embodiments. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments as well as all changes and modifications falling within the scope of this application.

[0051] Obviously, those skilled in the art can make various modifications and variations to this application without departing from the spirit and scope of this application. Therefore, if such modifications and variations fall within the scope of the claims of this application and their equivalents, this application also intends to include such modifications and variations.

Claims

1. A safety guidance method for vehicle thermal runaway based on multimodal perception, characterized in that, An on-board controller for electric vehicles, wherein the on-board controller is communicatively connected to a multimodal data acquisition module of the electric vehicle, the method comprising: During the operation of the electric vehicle, the system receives multimodal data collected by the multimodal data acquisition module. The multimodal data includes the temperature data of the electric vehicle's power battery, the concentration of toxic gases inside the vehicle, and the collision marker position within a previously preset time period. Extract the maximum temperature value and the temperature rise rate of the electric vehicle's power battery temperature data within the preset time period, and extract the maximum concentration of toxic gases inside the vehicle within the preset time period; The thermal runaway risk coefficient of the electric vehicle is determined based on the maximum temperature value, the temperature rise rate, the maximum concentration, and the collision flag, wherein the thermal runaway risk coefficient is positively correlated with the maximum temperature value, the temperature rise rate, the maximum concentration, and the collision flag, respectively. If the thermal runaway risk coefficient is greater than a set threshold, a safety guidance strategy is determined based on the thermal runaway risk coefficient. According to the safety guidance strategy, the electric vehicle is controlled to perform the safety guidance operations.

2. The method according to claim 1, characterized in that, The thermal runaway risk coefficient of the electric vehicle is determined based on the maximum temperature value, the rate of temperature increase, the maximum concentration, and the collision flag, including: Determine the first difference between the maximum temperature value and the preset safe temperature, and the second difference between the preset battery critical danger temperature threshold and the preset safe temperature; The thermal runaway risk coefficient of the electric vehicle is determined based on the ratio of the first difference to the second difference, the ratio of the temperature rise rate to a preset critical dangerous temperature rise rate threshold, the maximum concentration to a preset critical dangerous concentration threshold, and the collision flag.

3. The method according to claim 2, characterized in that, The step of determining the thermal runaway risk coefficient of the electric vehicle based on the ratio of the first difference to the second difference, the ratio of the temperature rise rate to a preset critical dangerous temperature rise rate threshold, the maximum concentration to a preset critical dangerous concentration threshold, and the collision flag bit includes: According to the formula Determine the thermal runaway risk coefficient of the electric vehicle, wherein... The thermal runaway risk coefficient is... The maximum temperature value, The preset safe temperature, The preset critical hazardous concentration threshold, The maximum concentration is... The preset critical hazardous concentration threshold, The collision flag is set to 1 when a collision occurs and 0 when no collision occurs. As the preset first weight, As the preset second weight, As the preset third weight, As the preset fourth weight, and .

4. The method according to claim 1, characterized in that, The process of determining a safety guidance strategy based on the thermal runaway risk coefficient includes: When the thermal runaway risk coefficient is within a first preset range, the safety guidance strategy is determined to be: outputting a prompt message indicating an abnormal temperature of the power battery.

5. The method according to claim 4, characterized in that, The step of determining the safety guidance strategy based on the thermal runaway risk coefficient also includes: When the thermal runaway risk coefficient is within the second preset range, the safety guidance strategy is determined as follows: outputting alarm information indicating thermal runaway of the power battery, and controlling the opening of the windows and sunroof of the electric vehicle and the unlocking of the doors, wherein the lower limit of the second preset range is greater than the upper limit of the first preset range.

6. The method according to claim 5, characterized in that, After outputting an alarm message indicating thermal runaway of the power battery and controlling the opening of the windows and sunroof and the unlocking of the doors of the electric vehicle, the method further includes: If it is detected that the electric vehicle's speed has not decreased or the concentration of toxic gas inside the vehicle has not decreased, the system will control the electric vehicle's central control screen and / or speakers to output a prompt message instructing the occupants to stop the vehicle and evacuate.

7. The method according to claim 5, characterized in that, The first preset interval is (0.3, 0.7), and the second preset interval is [0.7, 1).

8. An electric vehicle, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it causes the electric vehicle to perform the method as described in any one of claims 1 to 7.

9. A storage medium storing a computer program, characterized in that, When the computer program is executed by a processor, it causes the computer to perform the method as described in any one of claims 1 to 7.

10. A computer program product, comprising a computer program, characterized in that, When the computer program is run, it causes the electric vehicle to perform the method as described in any one of claims 1 to 7.

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