Fire simulation method, device and equipment for new energy vehicle roll-on and roll-off place and medium

Abstract

The invention discloses a fire simulation method, device, equipment and medium for a new energy vehicle roll-on and roll-off place, and the method comprises the steps: building an accurate fire risk simulation evaluation model, setting a roll-on and roll-off place vehicle mixed transportation and partition transportation fire scene model, and carrying out the simulation of a new energy vehicle on the basis of temperature distribution, thermal radiation intensity and other key data. According to the method, the fire spreading condition of the electric vehicle under different transportation strategies is simulated, then the effectiveness of the transportation strategies is evaluated, the roll-on-roll-off ship transportation strategies are formulated according to the vehicle power mode, a scientific basis is provided for formulating reasonable roll-on-roll-off site transportation strategies and emergency response measures, and therefore the safety of the new energy vehicle roll-on-roll-off site is improved.

Description

Technical Field

[0001] The present application relates to the technical field of fire risk simulation for roll-on / roll-off ships, and in particular to a fire simulation method, device, equipment and medium for roll-on / roll-off spaces for new energy vehicles. Background Art

[0002] The electric vehicle market is developing very rapidly. According to the "Global Electric Vehicle Outlook 2024" released by the International Energy Agency (IEA), in 2023, there will be nearly 14 million newly registered electric vehicles worldwide, of which pure electric vehicles account for 70%. The global total ownership will reach 40 million. It is estimated that global electric vehicle sales in 2024 will be about 17 million, an increase of more than 20% over 2023.

[0003] The increase in the number of electric vehicles observed around the world is having an impact on the increase in the number of such vehicles carried on ro-ro ships, but the high fire risk has brought new safety challenges to ro-ro shipping scenarios. For example, from 2011 to 2018, China experienced an average of 31 electric vehicle fire accidents per year. According to incomplete statistics, even in the affected year of 2020, there were 124 electric vehicle fire incidents. Among the 132 electric vehicle fire accidents recorded, accidents involving parked vehicles accounted for 30.3%.

[0004] Currently, existing technologies have the following main problems in the assessment of fire scenario risk simulation in large-scale roll-on / roll-off spaces with a large number of new energy electric vehicles:

[0005] Current research and simulations on electric vehicle fire scenarios primarily focus on single-vehicle combustion characteristics experiments, with a bias toward battery cell thermal runaway patterns and preventative monitoring of BMS systems. Data on the propagation behavior and characteristics of fires involving large numbers of electric vehicles in large spaces is incomplete, particularly for simulations of fire development on vehicle decks. Furthermore, such fires have become a major safety concern for ro-ro vessels, and there is a lack of comprehensive, large-scale ro-ro vehicle deck fire scenario experiments to determine the fire's propagation process. Summary of the Invention

[0006] The purpose of this application is to provide a fire simulation method, device, equipment and medium for new energy vehicle roll-on / roll-off spaces, which accurately simulates the fire behavior of new energy vehicles during roll-on / roll-off ship transportation, provides a scientific basis for formulating reasonable transportation strategies and emergency measures, and effectively reduces the losses caused by fire consequences.

[0007] In order to achieve the above objectives, this application provides the following technical solutions:

[0008] In a first aspect, the present application provides a fire simulation method for a roll-on / roll-off space of a new energy vehicle, comprising:

[0009] Obtaining a first heat release rate curve of the vehicle;

[0010] constructing a second heat release rate curve for the automobile in a roll-on / roll-off ship transport environment based on the first heat release rate curve for the automobile;

[0011] performing reliability verification on the second heat release rate curve;

[0012] If the reliability verification is passed, a 3D simulation model of the ro-ro ship is established;

[0013] Inputting the second heat release rate curve and the 3D simulation model into fire dynamics simulation tool software to perform fire simulation and obtain fire simulation results;

[0014] According to the fire simulation results, transportation strategies and emergency measures are generated.

[0015] Furthermore, obtaining a first heat release rate curve of the vehicle includes:

[0016] A fuel consumption calorimeter method or an open heat release rate measurement method is used to obtain a first heat release rate curve of the vehicle.

[0017] Furthermore, constructing a second heat release rate curve for the automobile in a roll-on / roll-off ship transport environment based on the first heat release rate curve for the automobile includes:

[0018] Linear interpolation and geometric averaging are performed on the first heat release rate curve to obtain a second heat release rate curve of the automobile in a roll-on / roll-off ship transportation environment.

[0019] Furthermore, the 3D model includes: a vehicle body, a deck, a vehicle compartment and a passenger compartment, wherein the vehicle body is constructed using a solid combustion model.

[0020] Furthermore, the reliability verification of the second heat release rate curve includes:

[0021] Setting fire parameters, wherein the fire parameters include: grid size, fire reaction selection, burner settings, and material settings;

[0022] Conduct full-scale combustion experiments based on the fire parameters described;

[0023] The temperature of N coordinate points in the full-scale combustion experiment is selected and compared with the temperature parameters in the second heat release rate curve. If the result of the temperature comparison meets the preset conditions, the

[0024] The second heat release rate curve passes reliability verification, where N is a positive integer greater than 0.

[0025] Furthermore, the grid size is determined according to the following formula:

[0026]

[0027] in: is the heat release rate of the fire source; ρ ∞ is the air density; C p is the specific heat capacity of air; T ∞ is the atmospheric temperature; g is the acceleration due to gravity.

[0028] Furthermore, the preset condition includes: the number of correct results of the temperature comparison is greater than N / 2.

[0029] In a second aspect, the present application further provides a fire simulation device for a roll-on / roll-off space of a new energy vehicle, comprising:

[0030] A data acquisition module, used for acquiring a first heat release rate curve of the vehicle;

[0031] A construction module, configured to construct a second heat release rate curve for the automobile in a roll-on / roll-off ship transport environment based on the first heat release rate curve for the automobile;

[0032] a reliability verification module, configured to perform reliability verification on the second heat release rate curve;

[0033] A model building module, configured to build a 3D simulation model of the ro-ro ship if the reliability verification passes;

[0034] a fire simulation module, configured to input the second heat release rate curve and the 3D simulation model into a fire dynamics simulation tool software to perform fire simulation and obtain a fire simulation result;

[0035] The strategy generation module is used to generate transportation strategies and emergency measures according to the fire simulation results.

[0036] In a third aspect, the present application also provides a computer electronic device comprising a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the steps of the fire simulation method for the roll-on / roll-off space of a new energy vehicle described in any one of the above are implemented.

[0037] In a fourth aspect, the present application further provides a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the steps of the fire simulation method for a roll-on / roll-off space of a new energy vehicle as described above.

[0038] The present application provides a fire simulation method, device, equipment and medium for a roll-on / roll-off space of a new energy vehicle, which has the following beneficial effects:

[0039] This application establishes an accurate fire risk simulation and assessment model. Based on key data such as temperature distribution and thermal radiation intensity, it determines the spread of electric vehicle fires under different transportation strategies, and then evaluates the effectiveness of the transportation strategy. It sets a mixed transportation scenario model of ro-ro vehicles and a pure electric vehicle fire scenario, and formulates a ro-ro transportation strategy based on the vehicle power mode. It provides a scientific basis for formulating reasonable ro-ro transportation strategies and emergency response measures for electric vehicles, thereby improving the safety of ro-ro transportation of electric vehicles. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] Figure 1 This is a flow chart of a fire simulation method for a roll-on / roll-off space of a new energy vehicle in an embodiment of the present application;

[0041] Figure 2 Schematic diagram of Heat Release Rate (HRR) curves of 10 electric vehicles obtained using the Fuel Consumption Calorimetry (FCC) and Open Combustion Calorimetry (OCC) measurement methods in the embodiments of the present application;

[0042] Figure 3 Schematic diagram of seven HRR curves of fuel vehicles obtained using the FCC and OCC measurement methods in the embodiment of this application;

[0043] Figure 4 Schematic diagram of HRR curves in the solid combustion model of fuel vehicles and electric vehicles in the embodiments of the present application.

[0044] Figure 5 This is a structural diagram of a fire simulation device for a roll-on / roll-off space for new energy vehicles in an embodiment of the present application;

[0045] Figure 6 It is a structural diagram of a computer electronic device in an embodiment of the present application. DETAILED DESCRIPTION

[0046] The following will be combined with the drawings in the embodiments of this application to clearly and completely describe the technical solutions in the embodiments of this application. Obviously, the embodiments described are part of the embodiments of this application, not all of them. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of this application.

[0047] It should be noted that when an element is referred to as being "fixed to" another element, it may be directly on the other element or there may be an intermediate element. When an element is considered to be "connected to" another element, it may be directly connected to the other element or there may be an intermediate element. Conversely, when an element is referred to as being "directly on" another element, there is no intermediate element. The terms "vertical," "horizontal," "left," "right," and similar expressions used herein are for illustrative purposes only.

[0048] In this application, unless otherwise expressly specified or limited, terms such as "mounted," "connected," "connect," and "fixed" should be understood in a broad sense. For example, they may refer to fixed connections, detachable connections, or integration; mechanical connections or electrical connections; direct connections or indirect connections through an intermediate medium; and internal connections between two components or interactions between two components. Those skilled in the art will understand the specific meanings of these terms in this application based on specific circumstances.

[0049] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of the technical features being referred to. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the features. Throughout the description of this application, "plurality" means two or more, unless otherwise specifically defined.

[0050] The terms used in one or more embodiments of the present application are only for the purpose of describing specific embodiments, and are not intended to limit one or more embodiments of the present application. The singular forms "a", "the", and "the" used in one or more embodiments of the present application are also intended to include plural forms unless the context clearly indicates otherwise.

[0051] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the art to which this application belongs. The terms used in the template description herein are for the purpose of describing specific embodiments only and are not intended to limit this application. The term "and / or" as used herein includes any and all combinations of one or more of the associated listed items.

[0052] It should be understood that although the terms first, second, etc. may be used to describe various information in one or more embodiments of the present application, such information should not be limited to these terms. These terms are only used to distinguish information of the same type from each other. For example, without departing from the scope of one or more embodiments of the present application, the first may also be referred to as the second, and similarly, the second may also be referred to as the first. Depending on the context, the word "if" as used herein may be interpreted as "when..." or "when...".

[0053] At present, the following problems exist in the risk simulation assessment of fire scenarios in large spaces with a large number of new energy electric vehicles:

[0054] 1. Lack of simulation research on the propagation behavior of large, multi-vehicle fires. Current research and simulations on electric vehicle fire scenarios primarily focus on single-vehicle combustion characteristics experiments, with a bias toward battery cell thermal runaway patterns and preventive testing of battery management systems. Available data on the propagation behavior and characteristics of large, multi-vehicle fires is incomplete, especially for simulations of fire development on vehicle decks. Furthermore, such fires have become a major safety concern for ro-ro vessels, and there is a lack of comprehensive, large-scale ro-ro vehicle deck fire scenario experiments to determine the fire spread process.

[0055] 2. Limitations of HRR Parameter Values. HRR is the most important parameter in fire safety investigations and, along with Total Heat Released (THR), serves as a key indicator for assessing the intensity of fire events. HRR parameter collection primarily relies on full-scale fire tests, using the fuel consumption calorimeter (FCC) method to estimate HRR by measuring weight loss and known heat of combustion, or directly measuring HRR using the open heat release rate (OCC) method. Due to the high cost of full-scale fire tests and the varying test objectives, most full-scale combustion experiments are single-vehicle tests with varying environmental settings. Current simulation studies are based on HRR parameters based on single full-scale combustion experiments, lacking applicability to novel scenarios and the multi-stage spread of fires. This makes it difficult to accurately reflect the complexity of actual fires. Furthermore, existing parameters rarely consider environmental factors and fire spread scenarios, resulting in fire simulation models being unable to fully and accurately simulate actual spread behavior. This limits the accuracy and reliability of fire simulation research, impacting the effectiveness of fire safety assessments and preventive measures. Therefore, HRR data from multiple full-scale combustion experiments is collected, and combustion data from both pure electric vehicles and gasoline-powered vehicles is selected as the data source for HRR curves.

[0056] The following specific embodiments describe in detail the technical solution of the present application and how the technical solution of the present application solves the above-mentioned technical problems. The following specific embodiments can be combined with each other, and the same or similar concepts or processes in certain embodiments will not be repeated. The embodiments of the present application will be described below in conjunction with the accompanying drawings.

[0057] Please refer to Figure 1 The embodiment of the present application provides a fire simulation method for a roll-on / roll-off space of a new energy vehicle, which comprises at least the following steps:

[0058] S10. Obtain a first heat release rate curve of the vehicle.

[0059] Specifically, in this example, a fuel consumption calorimeter method (FCC) or an open heat release rate measurement method (OCC) may be used to obtain a first heat release rate curve of the vehicle.

[0060] It should be noted that the above-mentioned automobiles include various types of automobiles, such as pure electric SUVs, pure electric sedans, pure oil SUVs, pure oil sedans, hybrid SUVs and hybrid sedans, etc.

[0061] In order to facilitate subsequent understanding, in the embodiment of this application, the heat release rate curves of 10 electric vehicles and 7 fuel vehicles based on the FCC and OCC measurement methods are obtained. The specific curve images are as follows Figure 2-Figure 3 shown.

[0062] S20: Constructing a second heat release rate curve for the automobile in a roll-on / roll-off ship transportation environment based on the first heat release rate curve for the automobile.

[0063] Specifically, in an embodiment of the present application, constructing a second heat release rate curve for the car in a roll-on / roll-off ship transportation environment based on the first heat release rate curve of the car includes: performing linear interpolation and geometric averaging on the first heat release rate curve to obtain the second heat release rate curve for the car in a roll-on / roll-off ship transportation environment.

[0064] It should be noted that the key turning point data in the heat release rate (HRR) curve are linearly interpolated with a step size of 4 seconds to fill the data. The interpolation formula is shown below. The peak heat release rate (PHRR) of 9 fuel vehicle combustion tests was collected for comparison. The peak heat release rate (PHRR) was between 4.2-7MW and the total heat release rate (THR) was between 4.7-8.5GJ. The second HRR curve constructed is consistent with the range and is relatively reliable:

[0065]

[0066] For the specific heat release rate curve processing process, please refer to Figure 4 .

[0067] S30: Perform reliability verification on the second heat release rate curve.

[0068] Specifically, step S30 includes the following steps:

[0069] S301. Setting fire parameters, wherein the fire parameters include: grid size, fire reaction selection, burner setting, and material setting.

[0070] Specifically, mesh size determination: The relationship between the characteristic flame diameter (D*) and mesh size (δx) was used to determine the appropriate mesh resolution for simulating electric and gasoline vehicle fires. By calculating the D* / δx values ​​corresponding to different mesh sizes, a 0.1m mesh resolution within the 10-20 range was selected as the basis for modeling.

[0071] In one embodiment of the present invention, the grid size is determined according to the following formula:

[0072]

[0073] in: is the heat release rate of the fire source; ρ ∞ is the air density; C p is the specific heat capacity of air; T ∞ is the atmospheric temperature; g is the acceleration due to gravity.

[0074] 2. Reaction selection: The polyurethane reaction was selected as the basis for the fire reaction. Although the chemical composition and structure of polyurethane and oak are very different, they have certain similarities in certain aspects of the fire reaction, especially the temperature generated during pyrolysis and combustion, oxygen consumption, visibility and CO concentration. This makes the polyurethane reaction an alternative or supplement to the fire reaction model of natural materials such as oak. As a synthetic material, the properties and fire behavior of polyurethane are more controllable in experiments, and its chemical composition and structure can be precisely adjusted, which makes it more widely used. There is no significant difference between the calculated temperature, oxygen, visibility and CO concentration and the oak reaction.

[0075] 3. Burner setting: Based on the results of previous tunnel fire simulations of solid combustion models, it was shown that in the complete burning stage, the model predicted temperature when the top and four vertical surfaces of the cube were set as burners was closest to the experimental temperature result. The battery of the electric vehicle is located at the bottom of the vehicle and is the main heat release surface. Therefore, in this study, all six surfaces (including the bottom) of the solid combustion model were set as burner surfaces to simulate the actual situation where the electric vehicle battery is located at the bottom of the vehicle. The initial temperature of the vehicle surface was set to 20 degrees Celsius, and the background command was set to "exposed" to achieve heat transfer between obstacles.

[0076] 4. Material Setup: Based on the material composition of electric and fuel vehicles, the thermal performance parameters of the solid combustion model materials are set, including calorific value, density, specific heat capacity, thermal conductivity, and emissivity. 60% of the weight of a modern passenger car comes from advanced steel and 10% from plastic. However, plastic accounts for approximately 50% of the vehicle's total volume. Heat release from fuel vehicles primarily comes from plastic materials, and battery thermal runaway accelerates the combustion process of vehicle fires. The contribution of different plastic types to the fire load of fuel vehicles is summarized, referring to the vehicle material thermal performance indicators and the relevant material parameters given in the material library of the fire dynamics simulation tool software, as shown in Table 1.

[0077] Table 1 Thermal performance parameters of SFM model materials

[0078]

[0079] The HRR curve shows the amount of heat released per unit time during a fire's development. The heat release rate varies depending on factors such as the material's calorific value, density, and specific heat capacity. The flame propagation path, which refers to the path of the fire's spread from the source to the surrounding area, is closely related to the material's thermal conductivity, flammability, and heat accumulation during the fire's development. The ignition sequence is affected by the material's thermal stability, combustion characteristics, and heat conduction. In electric vehicles, the source of fire is more concentrated in the battery, with the battery pack often being the starting point. Thermal runaway of the battery can exacerbate the chain reaction in the material. Due to the flammability of fuel in gasoline vehicles, the fuel system is the most susceptible to ignition. Fires often begin in the fuel tank or fuel lines, and the powertrain is more sensitive to temperature.

[0080] Based on full-scale combustion test data, the ignition points of the engine cover, seat, console shell and tire materials were averaged, and 230°C was set as the ignition temperature of electric vehicles; when the surface temperature of the electric vehicle battery reaches 126.7±2.2°C, thermal runaway occurs and flammable gas is released, so 130°C is set as the ignition temperature of the electric vehicle.

[0081] S302. Conduct a full-scale combustion experiment based on the fire parameters.

[0082] S303. Select the temperatures of N coordinate points in the full-scale combustion experiment and compare them with the temperature parameters in the second heat release rate curve. If the result of the temperature comparison meets the preset conditions, the second heat release rate curve passes the reliability verification, where N is a positive integer greater than 0.

[0083] In one embodiment of the present application, the preset condition includes: the number of correct results of the temperature comparison is greater than N / 2.

[0084] For example, after the reliability verification is passed, the fire parameters can be set, and then a simulation model combustion experiment can be carried out. In this embodiment, a 3×3 parking scene (i.e., a combustion scene of 9 vehicles) is set, and a simulation experiment is carried out based on the second HRR curve. By setting 14 vehicle detection points in the parking scene, during the combustion process, the temperature data of the 14 vehicles are detected to see whether they are the same as the temperature data in the second HRR curve. If more than half of the temperature data are the same, it is considered that the second heat release rate curve has passed the reliability verification. The experimental results show that the simulation experiment can better reproduce the fire spread process and temperature change trend in the experiment.

[0085] S40: If the reliability verification is passed, a 3D simulation model of the ro-ro ship is established.

[0086] Specifically, if the reliability verification is passed, a 3D simulation model of the ro-ro ship is established, wherein the 3D model includes: a vehicle body, a deck, a vehicle compartment and a passenger compartment, wherein the vehicle body is constructed using a solid combustion model.

[0087] It can be understood that the model includes the vehicle body, deck, passenger compartment and other parts. The solid combustion model is used to represent the vehicle body, the deck is set to steel material, and the seats are made of wood. Then, according to the actual transportation situation, the vehicle parking distance, ignition temperature and fire source location and other parameters are set.

[0088] S50: Input the second heat release rate curve and the 3D simulation model into fire dynamics simulation tool software to perform fire simulation and obtain fire simulation results.

[0089] Specifically, in this example, a solid combustion model with a length of 4m, a width of 1.5m, and a height of 0.5m was used to represent a roll-on / roll-off vehicle. The HRR curves (i.e., the second heat release rate curves) for electric and gasoline vehicles, obtained by interpolating the geometric mean, were imported as the ignition source for the vehicle burner. The grid size was set to 0.1m to comply with simulation specifications. The polyester-ammonia reaction was used as the material combustion basis, and the electric vehicle shell material was used as the ignition path basis. The simulation duration was set to 70 minutes, and the spread of the fire on the roll-on / roll-off ship deck was observed, including the flame propagation path, vehicle ignition sequence, and heat release rate changes.

[0090] S60: Generate transportation strategies and emergency measures based on the fire simulation results.

[0091] Specifically, transportation strategies and emergency measures can be generated based on fire simulation scenarios. For example, during the simulation, the thermal radiation intensity of the outer walls of the passenger compartment is monitored. By simulating the thermal radiation intensity at different locations and comparing it with a thermal radiation damage table, it can be determined which passages are unobstructed and which areas are blocked by smoke and flames at the initial stage of the fire. It can also predict which areas will be the most intense fire and which areas are the safest at certain moments. This can guide emergency personnel and trapped people to respond within the optimal time, allowing for targeted planning of escape routes and assessment of their safety. The following formula represents the available safe evacuation time for passengers:

[0092]

[0093] Among them, ASET i : Available safe evacuation time of seat i (s), S i : the shortest path distance from the i-th seat to the nearest exit (m), ρ g :Smoke density (kg / m 3 ), C P : Specific heat capacity (J / (kg·K)), T f : Flame temperature (K), T ∞ : Ambient temperature (K), Radiant heat flux (W / ㎡), K: dimensionless safety factor (usually taken as 1, or determined based on empirical data).

[0094] In addition, the simulation can take into account factors such as different cabins, passages, windows, ventilation systems, etc., accurately assess the development of the fire, and output a set of priority evacuation plans based on each scenario. For example, the availability of each entrance and exit, the location of the fire source, and the propagation path of smoke and heat radiation can be evaluated to deduce the optimal evacuation route. It can also give priority to paths with longer time and less radiation according to the different stages and locations of the fire. At the same time, based on the thermal insulation performance and measurement point data of the fire-resistant clothing, for example, the parameters of the fire-resistant clothing (such as heat resistance, breathability, heavy or light design, etc.) have a direct impact on the rescue actions of firefighters, and the rescue time and path of firefighters are planned based on this. The actions of firefighters not only affect the escape routes of trapped people, but may also affect the evacuation strategy. For example, firefighters can provide time and space for evacuation by controlling the fire and extinguishing the fire source, thereby ensuring the safe evacuation of trapped people and providing guidance for emergency response.

[0095] The fire scenario is decomposed into a fire dynamics module, a spatial topology module, and a personnel response module, and variable differentiation is achieved through parameterization (see the table below). This solution explicitly decouples the fire environment, spatial structure, and personnel protection variables, and combines multi-physics field coupling calculations to achieve differentiated evacuation strategy generation under different parameter combinations, ultimately reflecting quantifiable differentiation of escape time.

[0096]

[0097] The present application provides a fire simulation method for a roll-on / roll-off space of a new energy vehicle, which has the following beneficial effects:

[0098] This application establishes an accurate fire risk simulation and assessment model. Based on key data such as temperature distribution and thermal radiation intensity, it determines the spread of electric vehicle fires under different transportation strategies, and then evaluates the effectiveness of the transportation strategies. By accurately simulating the fire behavior of electric vehicles during roll-on / roll-off ship transportation, it provides a scientific basis for formulating reasonable transportation strategies and emergency measures, reducing the consequences of fire and ensuring the safety of personnel and property. It can also analyze the spread of fire under different transportation strategies, evaluate the effectiveness of electric vehicle independent transportation strategies, provide reference for transportation companies and government departments to formulate relevant policies, optimize the roll-on / roll-off ship transportation management of electric vehicles, and clearly grasp and analyze the escape route and the best time for fire rescue when a fire occurs, improve the scientificity and effectiveness of emergency response, and reduce the losses caused by fire accidents. This method not only provides a model that is consistent with real experiments, but also more accurately determines the parameters when setting them. It has high reliability and reference value in ship fire simulation experiments.

[0099] See also Figure 5 The present application also provides a fire simulation device 200 for a roll-on / roll-off space of a new energy vehicle, comprising:

[0100] A data acquisition module 201 is used to acquire a first heat release rate curve of the vehicle;

[0101] A construction module 202 is configured to construct a second heat release rate curve for the automobile in a roll-on / roll-off ship transport environment based on the first heat release rate curve for the automobile;

[0102] A reliability verification module 203 is used to perform reliability verification on the second heat release rate curve;

[0103] A model building module 204 is configured to build a 3D simulation model of the ro-ro ship if the reliability verification passes;

[0104] The fire simulation module 205 is configured to input the second heat release rate curve and the 3D simulation model into a fire dynamics simulation tool software to perform fire simulation and obtain a fire simulation result;

[0105] The strategy generation module 206 is used to generate transportation strategies and emergency measures according to the fire simulation results.

[0106] See also Figure 6An embodiment of the present application also provides a computer electronic device 300, including a memory 303 and a processor 302, wherein the memory 303 stores a computer program, and when the processor executes the computer program, it implements the steps of the fire simulation method for the roll-on / roll-off space of new energy vehicles described in any one of the above items.

[0107] Specifically, the electronic device 300 includes: a transceiver 301, a bus interface and a processor 302, wherein the processor 302 is used to obtain a first heat release rate curve of the automobile; construct a second heat release rate curve of the automobile in a roll-on / roll-off ship transportation environment based on the first heat release rate curve of the automobile; perform reliability verification on the second heat release rate curve; if the reliability verification passes, establish a 3D simulation model of the roll-on / roll-off ship; input the second heat release rate curve and the 3D simulation model into a fire dynamics simulation tool software to perform fire simulation and obtain fire simulation results; and generate transportation strategies and emergency measures based on the fire simulation results.

[0108] In the embodiment of the present application, the electronic device 300 further includes: a memory 303. Figure 6 In the embodiment, the bus architecture may include any number of interconnected buses and bridges, specifically linking various circuits such as one or more processors represented by processor 302 and memory represented by memory 303. The bus architecture may also link various other circuits such as peripheral devices, voltage regulators, and power management circuits, which are well known in the art and therefore will not be described further herein. The bus interface provides an interface. The transceiver 301 may be a plurality of components, i.e., a transmitter and a receiver, providing a unit for communicating with various other devices over a transmission medium. The processor 302 is responsible for managing the bus architecture and general processing, and the memory 303 may store data used by the processor 302 when performing operations.

[0109] An embodiment of the present application further provides a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the steps of the fire simulation method for a roll-on / roll-off space of a new energy vehicle as described above.

[0110] In this embodiment, the computer-readable storage medium may be a non-volatile storage medium or a volatile storage medium. For example, the computer storage medium may include, but is not limited to, a USB flash drive, a mobile hard drive, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk, among other media capable of storing program code.

[0111] In all examples shown and described herein, any specific values ​​should be interpreted as merely exemplary and not limiting, and thus other examples of the exemplary embodiments may have different values.

[0112] It should be noted that similar reference numerals and letters denote similar items in the following drawings, and therefore, once an item is defined in one drawing, it does not need to be further defined or explained in subsequent drawings.

[0113] In the several embodiments provided in this application, it should be understood that the disclosed devices and methods can also be implemented in other ways. The device embodiments described above are merely schematic. For example, the flowcharts and structure diagrams in the accompanying drawings show the possible architectures, functions and operations of the devices, methods and computer program products according to the multiple embodiments of the present application. In this regard, each box in the flowchart or block diagram can represent a module, a program segment or a part of the code, and the module, program segment or a part of the code contains one or more executable instructions for implementing the specified logical functions. It should also be noted that in an alternative implementation, the functions marked in the box can also occur in an order different from that marked in the accompanying drawings. For example, two consecutive boxes can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the structure diagram and / or flowchart, and the combination of boxes in the structure diagram and / or flowchart, can be implemented using a dedicated hardware-based system that performs the specified function or action, or can be implemented using a combination of dedicated hardware and computer instructions.

[0114] In addition, the functional modules or units in the various embodiments of the present application can be integrated together to form an independent part, or each module can exist independently, or two or more modules can be integrated to form an independent part.

[0115] If the functions are implemented in the form of software function modules and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art, or part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for enabling a terminal device (which can be a smart phone, personal computer, server, or network device, etc.) to execute all or part of the steps of the method described in each embodiment of the present application.

[0116] The above is only a specific implementation method of the present application, but the scope of protection of the present application is not limited thereto. Any technician familiar with this technical field can easily think of changes or replacements within the technical scope disclosed in this application, which should be covered by the scope of protection of the present application.

Claims

1. A fire simulation method for a roll-on / roll-off space of new energy vehicles, characterized in that: include: Obtaining a first heat release rate curve of the vehicle; constructing a second heat release rate curve for the automobile in a roll-on / roll-off ship transport environment based on the first heat release rate curve for the automobile; performing reliability verification on the second heat release rate curve; If the reliability verification is passed, a 3D simulation model of the ro-ro ship is established; Inputting the second heat release rate curve and the 3D simulation model into fire dynamics simulation tool software to perform fire simulation and obtain fire simulation results; According to the fire simulation results, transportation strategies and emergency measures are generated.

2. The fire simulation method for a roll-on / roll-off space of a new energy vehicle according to claim 1 is characterized in that: The obtaining of a first heat release rate curve of the vehicle includes: A fuel consumption calorimeter method or an open heat release rate measurement method is used to obtain a first heat release rate curve of the vehicle.

3. The fire simulation method for a roll-on / roll-off space of a new energy vehicle according to claim 1, characterized in that: The step of constructing a second heat release rate curve for the automobile in a roll-on / roll-off ship transport environment based on the first heat release rate curve for the automobile includes: Linear interpolation and geometric averaging are performed on the first heat release rate curve to obtain a second heat release rate curve of the automobile in a roll-on / roll-off ship transportation environment.

4. The fire simulation method for a roll-on / roll-off space of a new energy vehicle according to claim 1, characterized in that: The 3D model includes: a vehicle body, a deck, a vehicle compartment and a passenger compartment, wherein the vehicle body is constructed using a solid combustion model.

5. The fire simulation method for a roll-on / roll-off space of a new energy vehicle according to claim 1, characterized in that: The reliability verification of the second heat release rate curve includes: Setting fire parameters, wherein the fire parameters include: grid size, fire reaction selection, burner settings, and material settings; Conduct full-scale combustion experiments based on the fire parameters described; The temperature of N coordinate points in the full-scale combustion experiment is selected and compared with the temperature parameters in the second heat release rate curve. If the result of the temperature comparison meets the preset conditions, the The second heat release rate curve passes reliability verification, where N is a positive integer greater than 0.

6. The fire simulation method for a roll-on / roll-off space of a new energy vehicle according to claim 5, characterized in that: The grid size is determined according to the following formula: in: is the heat release rate of the fire source; ρ ∞ is the air density; C p is the specific heat capacity of air; T ∞ is the atmospheric temperature; g is the acceleration due to gravity.

7. The fire simulation method for a roll-on / roll-off space of a new energy vehicle according to claim 5, characterized in that: The preset condition includes: the number of correct results of the temperature comparison is greater than N / 2.

8. A fire simulation device for a roll-on / roll-off space of new energy vehicles, characterized in that: include: A data acquisition module, used for acquiring a first heat release rate curve of the vehicle; A construction module, configured to construct a second heat release rate curve for the automobile in a roll-on / roll-off ship transport environment based on the first heat release rate curve for the automobile; a reliability verification module, configured to perform reliability verification on the second heat release rate curve; A model building module, configured to build a 3D simulation model of the ro-ro ship if the reliability verification passes; a fire simulation module, configured to input the second heat release rate curve and the 3D simulation model into a fire dynamics simulation tool software to perform fire simulation and obtain a fire simulation result; The strategy generation module is used to generate transportation strategies and emergency measures according to the fire simulation results.

9. A computer electronic device, characterized in that: The method comprises a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the steps of the fire simulation method for the roll-on / roll-off space of a new energy vehicle are implemented as described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the fire simulation method for a roll-on / roll-off space of a new energy vehicle are implemented according to any one of claims 1 to 7.

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