Whole vehicle electromagnetic anti-interference simulation method, device and equipment and vehicle

Abstract

The invention relates to a whole vehicle electromagnetic anti-interference simulation method, device and equipment and a vehicle. The method comprises the following steps: determining a whole vehicle electromagnetic model and an antenna simulation model in a simulation environment by using electromagnetic simulation software; exciting the antenna simulation model to generate an electromagnetic wave, and calculating a first field intensity of a preset sensitive point on the whole vehicle electromagnetic model under the electromagnetic wave according to a preset simulation algorithm; the sensitive points with the first field intensity exceeding a preset field intensity limit value are determined as risk points with too high field intensity; replacing an electromagnetic wave generated by the antenna simulation model with a plane wave based on a second field intensity of the risk point under the plane wave; and comparing the change trend of the first field intensity with the change trend of the second field intensity so as to determine the reason that the field intensity of the risk point is too high. According to the technical scheme, the more accurate risk point on the automobile can be determined, the reason for the too high field intensity of the risk point can be analyzed, and the accuracy of electromagnetic anti-interference simulation is improved.

Description

Technical Field

[0001] The present disclosure relates to the technical field of automobiles, and in particular, to a method, device, equipment and vehicle for simulating the electromagnetic immunity of a whole vehicle. Background Art

[0002] With the development of technology, there are more and more electronic and electrical devices in automobiles. Therefore, the electromagnetic immunity performance of automobiles has become an important issue that cannot be ignored. In the current solutions for evaluating electromagnetic immunity performance, usually the distribution of the overall scene of the automobile is analyzed, but it is impossible to analyze a local position where the field strength is too high on the automobile, and even more impossible to know the reason why the field strength is too high at this position. Therefore, a more accurate method for simulating electromagnetic immunity is needed. Summary of the Invention

[0003] In order to solve the above technical problems, the present disclosure provides a method, device, equipment and vehicle for simulating the electromagnetic immunity of a whole vehicle.

[0004] The present disclosure provides a method for simulating the electromagnetic immunity of a whole vehicle, including:

[0005] Using an electromagnetic simulation software to determine the electromagnetic model of the whole vehicle and the antenna simulation model in a simulation environment;

[0006] Exciting the antenna simulation model to generate electromagnetic waves, and calculating the first field strength of preset sensitive points on the electromagnetic model of the whole vehicle under the electromagnetic waves according to a preset simulation algorithm;

[0007] Determining the sensitive points whose first field strength exceeds a preset field strength limit as risk points with too high field strength;

[0008] Replacing the electromagnetic waves generated by the antenna simulation model with plane waves, and calculating the second field strength of the risk points under the plane waves;

[0009] Comparing the change trend of the first field strength with the change trend of the second field strength to determine the reason for the too high field strength of the risk points.

[0010] In some embodiments, the comparing the change trend of the first field strength with the change trend of the second field strength to determine the reason for the too high field strength of the risk points includes:

[0011] Determining a first change trend of the first field strength changing with frequency, and a second change trend of the second field strength changing with frequency;

[0012] Determining the reason for the too high field strength of the risk points by comparing the consistency between the first change trend and the second change trend.

[0013] In some embodiments, determining the reason for the excessive field strength at the risk point by comparing the consistency between the first change trend and the second change trend includes:

[0014] Comparing whether the first change trend and the second change trend corresponding to the risk point are consistent;

[0015] If they are consistent, determining that the reason for the excessive field strength at the risk point is caused by the vehicle body structure;

[0016] If they are not consistent, determining that the reason for the excessive field strength at the risk point is the antenna natural frequency.

[0017] In some embodiments, determining the vehicle electromagnetic model and the antenna simulation model in the simulation environment by using electromagnetic simulation software includes:

[0018] Establishing a vehicle electromagnetic model, an antenna simulation model, and a metal floor;

[0019] Calibrating the transmission power of the antenna simulation model;

[0020] Importing the vehicle electromagnetic model, the antenna simulation model with calibrated transmission power, and the metal floor into the electromagnetic simulation software;

[0021] Arranging the positions of the vehicle electromagnetic model, the antenna simulation model, and the metal floor in the electromagnetic simulation software to determine the vehicle electromagnetic model and the antenna simulation model in the simulation environment.

[0022] In some embodiments, calibrating the transmission power of the antenna simulation model includes:

[0023] Determining the reference point position corresponding to the electromagnetic field probe on the vehicle electromagnetic model;

[0024] In the absence of the vehicle electromagnetic model, setting the stripline simulation frequency and the antenna transmission power of the antenna simulation model according to the electromagnetic compatibility (EMC) standard to excite the antenna simulation model to generate electromagnetic waves;

[0025] Calibrating the transmission power of the antenna simulation model according to the expected field strength at the reference point position.

[0026] In some embodiments, establishing a vehicle immunity simulation model includes:

[0027] Importing the vehicle data model into the pre-processing software, performing geometric cleaning and electromagnetic mesh division on the vehicle data model to obtain a vehicle mesh model;

[0028] Importing the vehicle mesh model into the electromagnetic simulation software and checking whether the current distribution of the vehicle mesh model is effective through the electromagnetic simulation software;

[0029] The vehicle electromagnetic model to be simulated and calculated is a valid vehicle grid model to be checked.

[0030] In some embodiments, after determining the reason for the excessive field strength of the risk point based on the field strength of the risk point under the plane wave, the method further includes:

[0031] Exciting the antenna simulation model to generate electromagnetic waves, and calculating the current distribution on multiple metal regions of the vehicle electromagnetic model under the electromagnetic waves.

[0032] The present disclosure provides a vehicle electromagnetic immunity simulation device, including:

[0033] A model determination module, configured to use electromagnetic simulation software to determine a vehicle electromagnetic model and an antenna simulation model in a simulation environment;

[0034] A first simulation module, configured to excite the antenna simulation model to generate electromagnetic waves, and calculate a first field strength of preset sensitive points on the vehicle electromagnetic model under the electromagnetic waves according to a preset simulation algorithm;

[0035] A risk point determination module, configured to determine a sensitive point whose first field strength exceeds a preset field strength limit as a risk point with excessive field strength;

[0036] A second simulation module, configured to replace the electromagnetic waves generated by the antenna simulation model with plane waves, and based on a second field strength of the risk point under the plane waves;

[0037] A reason determination module, configured to compare a change trend of the first field strength with a change trend of the second field strength to determine the reason for the excessive field strength of the risk point.

[0038] The present disclosure further provides an electronic device, including:

[0039] One or more processors;

[0040] A memory, configured to store one or more programs or instructions;

[0041] The processor is configured to execute the steps of any of the above methods by calling the programs or instructions stored in the memory.

[0042] The present disclosure further provides a vehicle, and the vehicle includes the vehicle electromagnetic immunity simulation device as described above.

[0043] The technical solutions provided by the embodiments of the present disclosure have the following advantages compared with the prior art:

[0044] The technical solution provided by the embodiments of the present disclosure first uses electromagnetic simulation software to determine the vehicle electromagnetic model and antenna simulation model in the simulation environment; then, the antenna simulation model is excited to generate electromagnetic waves, and the first field strength of the preset sensitive points on the vehicle electromagnetic model under the electromagnetic waves is calculated according to the preset simulation algorithm; the sensitive points with the first field strength exceeding the preset field strength limit are determined as the risk points with excessive field strength; then, the electromagnetic waves generated by the antenna simulation model are replaced by plane waves, and the second field strength of the risk points under the plane waves is based on; the change trend of the first field strength is compared with the change trend of the second field strength to determine the reason for the excessive field strength of the risk points. This technical solution uses the antenna simulation model as the radiation source, and through simulation, it can accurately determine the risk points with excessive field strength under the electromagnetic interference received by the vehicle; for the risk points, plane waves are used to replace the electromagnetic waves, and by comparing whether the change trends of the field strength with frequency are consistent in the two cases of electromagnetic waves and plane waves, the reason for the excessive field strength of the risk points is analyzed. Therefore, the present disclosure can not only determine more accurate risk points on the vehicle, but also analyze the reason for the excessive field strength of the risk points, improving the accuracy of electromagnetic immunity simulation. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] The accompanying drawings herein are incorporated into the specification and constitute a part of this specification, showing embodiments consistent with the present disclosure and, together with the specification, are used to explain the principles of the present disclosure.

[0046] In order to more clearly illustrate the technical solutions in the embodiments of the present disclosure or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, for those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0047] Figure 1 It is a flowchart of a vehicle electromagnetic immunity simulation method provided by the embodiments of the present disclosure;

[0048] Figure 2 It is a schematic diagram of the vehicle grid model provided by the embodiments of the present disclosure;

[0049] Figure 3 It is a schematic diagram of the current distribution provided by the embodiments of the present disclosure;

[0050] Figure 4 It is a schematic diagram of the antenna simulation model and the metal floor provided by the embodiments of the present disclosure;

[0051] Figure 5 It is a schematic diagram of the reference point position provided by the embodiments of the present disclosure;

[0052] Figure 6 It is a schematic diagram of the field strength of a reference point position provided by the embodiments of the present disclosure;

[0053] Figure 7 Another field strength schematic diagram of the reference point position provided by an embodiment of the present disclosure;

[0054] Figure 8 A schematic diagram of the simulation environment provided by an embodiment of the present disclosure;

[0055] Figure 9 The first field strength schematic diagram of multiple sensitive points varying with the frequency of electromagnetic waves provided by an embodiment of the present disclosure;

[0056] Figure 10 The second field strength schematic diagram of risk points varying with the frequency of electromagnetic waves provided by an embodiment of the present disclosure;

[0057] Figure 11 A structural block diagram of a vehicle electromagnetic immunity simulation device provided by an embodiment of the present disclosure;

[0058] Figure 12 A structural schematic diagram of an electronic device provided by an embodiment of the present disclosure. Detailed implementation manners

[0059] In order to more clearly understand the above objects, features and advantages of the present disclosure, the solutions of the present disclosure will be further described below. It should be noted that, without conflict, the embodiments of the present disclosure and the features in the embodiments can be combined with each other.

[0060] In the following description, many specific details are set forth to facilitate a thorough understanding of the present disclosure, but the present disclosure may be implemented in other ways different from those described herein; obviously, the embodiments in the specification are only a part of the embodiments of the present disclosure, rather than all the embodiments.

[0061] Considering that the current solutions for evaluating electromagnetic immunity performance cannot accurately analyze the position where the field strength is too high on a vehicle and cannot know whether the reason for the too high field strength at this position is the body structure or antenna resonance. Therefore, a more accurate electromagnetic immunity simulation method is needed. Based on this, the embodiments of the present disclosure provide a vehicle electromagnetic immunity simulation method, device, equipment and vehicle. For ease of understanding, the embodiments of the present disclosure are described below.

[0062] Figure 1 A flowchart of a vehicle electromagnetic immunity simulation method provided by an embodiment of the present disclosure. This method is applicable to scenarios such as electromagnetic immunity simulation and electromagnetic immunity testing, and can calculate the risk points with too high field strength and the reasons for the too high field strength at the risk points through simulation, and can be applied to any vehicle that requires electromagnetic immunity simulation, such as new energy vehicles. This method can be executed by a vehicle electromagnetic immunity simulation device, and the vehicle electromagnetic immunity simulation device can be implemented in a software and / or hardware manner. As Figure 1 shown, the vehicle electromagnetic immunity simulation method includes the following steps:

[0063] S101. Use electromagnetic simulation software to determine the vehicle electromagnetic model and antenna simulation model in the simulation environment.

[0064] In this embodiment, first, establish a vehicle electromagnetic model, an antenna simulation model, and a metal floor.

[0065] Among them, in one embodiment, the method of establishing a vehicle electromagnetic model may include:

[0066] Import the vehicle data model into a pre-processing software (such as Hypermesh), perform geometric cleaning and electromagnetic mesh division on the vehicle data model to obtain a vehicle mesh model.

[0067] Specifically, import the vehicle data model into the pre-processing software Hypermesh for geometric cleaning and electromagnetic mesh division. Geometric cleaning, for example, includes: deleting features such as bolts and weld spots in the vehicle data model; filling small holes; deleting plastic parts such as interior trim, window glass, and front and rear bumpers; modifying chamfers and fillets; retaining metal parts such as the body-in-white, chassis, engine cover, seat metal frame, firewall, wheels, leaf springs, wheels, steering wheel, and steering column. Perform electromagnetic mesh division on the simplified vehicle data model through the pre-processing software Hypermesh. When performing electromagnetic mesh division, it is necessary to ensure the continuity of the mesh, check that there is no interference and overlap in the mesh, and there are no overlapping or isolated triangular elements, etc. The vehicle mesh model obtained after electromagnetic mesh division can be referred to Figure 2 as shown.

[0068] Import the vehicle mesh model into electromagnetic simulation software (such as FEKO), and check whether the current distribution of the vehicle mesh model is effective through the electromagnetic simulation software; use the vehicle mesh model with effective inspection as the vehicle electromagnetic model to be simulated and calculated. In this embodiment, import the vehicle mesh model into the electromagnetic simulation software FEKO to check whether the current distribution is effective. The current distribution of the vehicle mesh model can be referred to Figure 3 as shown. If the overall current distribution of the vehicle mesh model is relatively uniform and there is no situation of excessive local current, it is determined that the current distribution is effective, indicating that the vehicle mesh model can be used for simulation calculation at this time. Of course, if the inspection is invalid, some data when establishing the vehicle data model can be modified or the vehicle data model can be re-established.

[0069] In one embodiment, the simulation space environment can be set in the pre-processing software Hypermesh with reference to the test environment. To simulate the semi-anechoic chamber environment, establish a metal floor according to floor parameters such as length and width.

[0070] In one embodiment, an antenna simulation model can be established according to preset antenna parameters, which include but are not limited to: the type of the antenna, the erection height of the antenna, the inclination angle of the antenna, the distance of the antenna, etc. Exemplarily, the antenna parameters can be set with reference to the immunity antenna used in the laboratory, and electromagnetic simulation software FEKO can be used to set antenna parameters such as the type of the antenna, the erection height of the antenna, the inclination angle of the antenna, and the distance of the antenna, so as to establish an antenna simulation model. As Figure 4 shown, the result after importing the metal floor into the electromagnetic simulation software FEKO and arranging it together with the antenna simulation model is presented.

[0071] Next, the transmission power of the antenna simulation model can be calibrated in this embodiment, and its implementation method can be referred to as follows:

[0072] Determine the position of the reference point corresponding to the electromagnetic field probe on the vehicle electromagnetic model; in the absence of a vehicle electromagnetic model, set the strip line simulation frequency and the antenna transmission power of the antenna simulation model according to the EMC (Electromagnetic Compatibility) standard to excite the antenna simulation model to generate electromagnetic waves; calibrate the transmission power of the antenna simulation model according to the expected field strength at the reference point position.

[0073] In some implementation manners, single or multiple electromagnetic field probes are used for calibration in different frequency bands. For example: a single electromagnetic field probe is used for calibration in the frequency range of 0.01 MHz to 20 MHz; 4 electromagnetic field probes are used for calibration in the frequency range of 30 MHz to 2 GHz. Taking the calibration with a single electromagnetic field probe as an example, the electromagnetic field probe is located at the reference point position as Figure 5 shown, the height of the reference point position from the metal floor of the shielded room is 1 ± 0.05 m, and the distance from the rear of the front axle is 0.2 m ± 0.2 m. The electromagnetic field probe located at the reference point position is used to calibrate the transmission power of the antenna simulation model so that the expected field strength is achieved at this reference point position.

[0074] During the calibration process, the strip line simulation frequency is set to 10 kHz - 30 MHz and the antenna transmission power is set to 1 W according to the EMC standard. Setting the transmission power to 1 W indicates that the power is fully transmitted without mismatch loss, and the field strength at the reference point position is calculated with a power of 1 W. The field strength at the reference point position is as Figure 6 shown. Adjust the transmission power of the antenna simulation model according to the field strength at the reference point position until the adjusted transmission power can make the field strength at the reference point position be the expected field strength, then the calibration is completed, and the antenna simulation model after calibrating the transmission power is obtained; for the convenience of distinguishing and viewing, Figure 7 the field strength at the reference point position corresponding to the calibrated transmission power is provided. It can be seen that the change of the field strength at the reference point position with frequency is different before and after calibrating the transmission power.

[0075] Reference Figure 8 , import the vehicle electromagnetic model, the antenna simulation model after calibrating the transmitting power, and the metal floor into the electromagnetic simulation software FEKO; arrange the positions of the vehicle electromagnetic model, the antenna simulation model, and the metal floor in the electromagnetic simulation software FEKO to determine the vehicle electromagnetic model and the antenna simulation model in the simulation environment.

[0076] S102. Excite the antenna simulation model to generate electromagnetic waves, and calculate the first field strength of the preset sensitive points on the vehicle electromagnetic model under the electromagnetic waves according to the preset simulation algorithm.

[0077] In this embodiment, set the excitation mode to CW (Continuous Wave) sine wave in the electromagnetic simulation software FEKO to excite the antenna simulation model to generate electromagnetic waves, and set the propagation direction of the electromagnetic waves to be directly in front of the vehicle head. The simulation algorithm for solving the field strength in the low-frequency case can be the MOM (Method of Moments) algorithm. This MOM algorithm has good calculation accuracy, uses direct solution, has no convergence problem, is suitable for solving simulation tasks in the range of 0.01 MHz - 220 MHz, and can select the double-precision calculation method to calculate the first field strength of the preset sensitive points on the vehicle electromagnetic model under the electromagnetic waves. There are multiple sensitive points. As Figure 9 shown, it shows the first field strength of 4 sensitive points changing with the frequency of the electromagnetic waves after simulation calculation.

[0078] S103. Determine the sensitive points whose first field strength exceeds the preset field strength limit as the risk points with excessive field strength.

[0079] Reference Figure 9 From the example of

[0080] S104. Replace the electromagnetic waves generated by the antenna simulation model with plane waves, and based on the second field strength of the risk points under the plane waves.

[0081] In this embodiment, replace the electromagnetic waves of the antenna simulation model with the excitation source of the immunity simulation in the form of plane waves. It can be understood that the directions of the mutually excited electric field and magnetic field are perpendicular to each other. The surface formed by the oscillation directions of the mutually perpendicular electric field and magnetic field is the equiphase surface, that is, the electric field or magnetic field phase at any point on the surface is equal. The equiphase surface is perpendicular to the propagation direction. The electromagnetic wave whose equiphase surface is a plane from a microscopic perspective or far from the source is a plane wave.

[0082] Replace the electromagnetic wave generated by the antenna simulation model with a plane wave, and set the propagation direction of the plane wave directly in front of the vehicle head. The relevant settings such as the frequency of the plane wave and the sensitive points are the same as those of the electromagnetic wave generated by the antenna simulation model. Solve the second field strength of the risk points P1 and P3 with excessive field strength under the plane wave. The method of calculating the second field strength of the risk points under the plane wave can refer to the first field strength and will not be elaborated here.

[0083] S105. Compare the change trend of the first field strength with the change trend of the second field strength to determine the reason for the excessive field strength at the risk point.

[0084] In this embodiment, compare the change trend of the first field strength corresponding to the above risk point with the change trend of the second field strength with respect to frequency to analyze the reason for the excessive field strength at the risk point.

[0085] In a specific embodiment, first determine the first change trend of the first field strength changing with frequency and the second change trend of the second field strength changing with frequency.

[0086] Regarding the first change trend of the first field strength changing with frequency, specifically, it can refer to Figure 9 the curve graphs respectively corresponding to the risk points P1 and P3. The abscissa of the curve graph represents the frequency of the electromagnetic field, and the ordinate represents the first field strength of the risk point 1. Similarly, the second change trend of the second field strength changing with frequency can be referred to Figure 10 as shown.

[0087] By comparing the consistency between the first change trend and the second change trend, determine the reason for the excessive field strength at the risk point. Specifically, it includes: comparing whether the first change trend and the second change trend corresponding to the risk point are consistent; if they are consistent, determine that the reason for the excessive field strength at the risk point is caused by the vehicle body structure; if they are inconsistent, determine that the reason for the excessive field strength at the risk point is the antenna natural frequency.

[0088] According to Figure 9 and Figure 10 it can be found that the first change trend and the second change trend corresponding to the risk point P1 are consistent, indicating that the excessive field strength at the risk point P1 is caused by the vehicle body structure, that is, the vehicle body structure near the sensitive point P1 is equivalent to a wire antenna or a loop antenna. If the size of this antenna is approximately an integer multiple of half-wavelength, resonance may occur, resulting in excessive field strength. The first change trend and the second change trend corresponding to the risk point P3 are inconsistent, indicating that the excessive field strength at the risk point P3 is caused by the antenna natural resonance frequency.

[0089] According to the above embodiments, after determining the reason for the excessive field strength at the risk point based on the field strength of the risk point under the plane wave, the method provided in this embodiment may further include: exciting the antenna simulation model to generate electromagnetic waves and calculating the current distribution of multiple metal regions on the vehicle electromagnetic model under the electromagnetic waves.

[0090] In this embodiment, after determining the risk points with excessive field strength and the reasons for the excessive field strength at the risk points, the current distribution at the risk points can be further simulated to verify whether the determination of the above risk points is accurate. In a specific example, an antenna simulation model is excited in an electromagnetic simulation software to generate electromagnetic waves, so that the electromagnetic simulation software calculates the current distribution on multiple metal regions of the vehicle electromagnetic model under the electromagnetic waves according to the characteristic mode theory, and displays the current distribution on the vehicle electromagnetic model. Specifically, reference can be made to Figure 3 As shown, it can be clearly seen that the positions with relatively strong current are near the risk point P1, indicating that the determination of the risk point P1 is accurate. Therefore, in the actual vehicle project development, this area should be focused on, and electronic components operating at the corresponding working frequencies should be avoided from being arranged at the risk point P1, so as to reduce the component failure problems that occur during the immunity test.

[0091] In summary, the vehicle electromagnetic immunity simulation method provided by the embodiments of the present disclosure includes: first, using electromagnetic simulation software to determine the vehicle electromagnetic model and the antenna simulation model in the simulation environment; then exciting the antenna simulation model to generate electromagnetic waves, and calculating the first field strength of preset sensitive points on the vehicle electromagnetic model under the electromagnetic waves according to a preset simulation algorithm; determining the sensitive points with the first field strength exceeding the preset field strength limit as the risk points with excessive field strength; then using a plane wave to replace the electromagnetic waves generated by the antenna simulation model, and based on the second field strength of the risk point under the plane wave; comparing the change trend of the first field strength with the change trend of the second field strength to determine the reason for the excessive field strength at the risk point. This technical solution uses the antenna simulation model as the radiation source, and through simulation, it can accurately determine the risk points with excessive field strength under the electromagnetic interference received by the vehicle; for the risk points, a plane wave is used to replace the electromagnetic waves, and by comparing whether the change trends of the field strength with frequency are the same in the two cases of electromagnetic waves and plane waves, the reason for the excessive field strength at the risk point is analyzed. Therefore, the present disclosure can not only determine more accurate risk points on the vehicle, but also analyze the reasons for the excessive field strength at the risk points, improving the accuracy of electromagnetic immunity simulation.

[0092] Furthermore, the present disclosure uses the antenna simulation model as the radiation source to simulate the electromagnetic interference received by the vehicle. For risk points with relatively large field strength, arranging certain electronic components operating at certain frequencies is avoided here, so as to reduce the component failure problems that occur during the immunity test, enabling the vehicle to meet the requirements during the stripline immunity test, which has important engineering application significance.

[0093] Corresponding to the vehicle electromagnetic immunity simulation method provided by the embodiments of the present disclosure, the embodiments of the present disclosure also provide a vehicle electromagnetic immunity simulation device. Figure 11 Shown in the following is the structural block diagram of the vehicle electromagnetic immunity simulation device provided by the embodiments of the present disclosure. As Figure 11 shown, the vehicle electromagnetic immunity simulation device includes:

[0094] A model determination module 210, configured to determine a vehicle electromagnetic model and an antenna simulation model in a simulation environment by using electromagnetic simulation software;

[0095] A first simulation module 220, configured to excite the antenna simulation model to generate electromagnetic waves, and calculate a first field strength of preset sensitive points on the vehicle electromagnetic model under the electromagnetic waves according to a preset simulation algorithm;

[0096] A risk point determination module 230, configured to determine the sensitive points with the first field strength exceeding a preset field strength limit value as risk points with excessive field strength;

[0097] A second simulation module 240, configured to replace the electromagnetic waves generated by the antenna simulation model with plane waves, and based on the second field strength of the risk points under the plane waves;

[0098] A cause determination module 250, configured to compare the change trend of the first field strength with the change trend of the second field strength to determine the reason for the excessive field strength of the risk points.

[0099] In one embodiment, the cause determination module 250 is further configured to:

[0100] Determine a first change trend of the first field strength changing with frequency, and a second change trend of the second field strength changing with frequency;

[0101] By comparing the consistency between the first change trend and the second change trend, determine the reason for the excessive field strength of the risk points.

[0102] In one embodiment, the cause determination module 250 is further configured to:

[0103] Compare whether the first change trend and the second change trend corresponding to the risk points are consistent;

[0104] If they are consistent, determine that the reason for the excessive field strength of the risk points is caused by the vehicle body structure;

[0105] If they are inconsistent, determine that the reason for the excessive field strength of the risk points is the antenna natural frequency.

[0106] In one embodiment, the model determination module 210 is further configured to:

[0107] Establish a vehicle electromagnetic model, an antenna simulation model, and a metal floor;

[0108] Calibrate the transmission power of the antenna simulation model;

[0109] Import the vehicle electromagnetic model, the antenna simulation model with calibrated transmission power, and the metal floor into the electromagnetic simulation software;

[0110] Arrange the positions of the vehicle electromagnetic model, the antenna simulation model, and the metal floor in the electromagnetic simulation software to determine the vehicle electromagnetic model and the antenna simulation model in the simulation environment.

[0111] In one embodiment, the model determination module 210 is further configured to:

[0112] Determine the reference point positions corresponding to the electromagnetic field probes on the vehicle electromagnetic model;

[0113] In the absence of the vehicle electromagnetic model, set the strip line simulation frequency and the antenna transmission power of the antenna simulation model according to the electromagnetic compatibility (EMC) standard to excite the antenna simulation model to generate electromagnetic waves;

[0114] Calibrate the transmission power of the antenna simulation model according to the expected field strength at the reference point positions.

[0115] In one embodiment, the model determination module 210 is further configured to:

[0116] Import the vehicle data model into the pre-processing software, perform geometric cleaning and electromagnetic mesh division on the vehicle data model to obtain a vehicle mesh model;

[0117] Import the vehicle mesh model into the electromagnetic simulation software, and check whether the current distribution of the vehicle mesh model is valid through the electromagnetic simulation software;

[0118] Use the vehicle mesh model with valid inspection results as the vehicle electromagnetic model to be simulated and calculated.

[0119] In one embodiment, the device further includes a third simulation module, which is configured to: excite the antenna simulation model to generate electromagnetic waves, and calculate the current distribution of multiple metal regions on the vehicle electromagnetic model under the electromagnetic waves.

[0120] The vehicle electromagnetic immunity simulation device disclosed in the above embodiments can execute the vehicle electromagnetic immunity simulation methods disclosed in the above respective embodiments, and has the same or corresponding beneficial effects. To avoid repetition, they will not be elaborated here.

[0121] The embodiments of the present disclosure further provide a vehicle, which includes the vehicle electromagnetic immunity simulation device as described above.

[0122] The embodiments of the present disclosure further provide a computer-readable storage medium, which stores programs or instructions, and the programs or instructions cause a computer to execute the steps of any of the above methods.

[0123] Use electromagnetic simulation software to determine the vehicle electromagnetic model and the antenna simulation model in the simulation environment;

[0124] Exciting the antenna simulation model to generate electromagnetic waves, and calculating the first field strength of a preset sensitive point on the whole vehicle electromagnetic model under the electromagnetic waves according to a preset simulation algorithm;

[0125] Determining the sensitive point where the first field strength exceeds a preset field strength limit as a risk point where the field strength is too high;

[0126] replacing the electromagnetic wave generated by the antenna simulation model with a plane wave, based on a second field strength of the risk point under the plane wave;

[0127] The variation trend of the first field strength is compared with the variation trend of the second field strength to determine the reason why the field strength at the risk point is too high.

[0128] Optionally, when executed by a computer processor, the computer executable instructions can also be used to execute the technical solution of any of the above-mentioned vehicle electromagnetic interference simulation methods provided in the embodiments of the present disclosure to achieve corresponding beneficial effects.

[0129] Through the above description of the implementation methods, the technicians in the relevant field can clearly understand that the embodiments of the present disclosure can be implemented with the help of software and necessary general hardware, and of course can also be implemented by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the embodiments of the present disclosure is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as a computer floppy disk, read-only memory (ROM), random access memory (RAM), flash memory (FLASH), hard disk or optical disk, etc., including a number of instructions to enable a computer device (which can be a personal computer, server, or network device, etc.) to execute the methods described in each embodiment of the present disclosure.

[0130] The embodiment of the present disclosure also provides an electronic device, including: one or more processors; a memory for storing one or more programs or instructions; the processor calls the programs or instructions stored in the memory to execute the steps of any of the above methods to achieve corresponding beneficial effects.

[0131] Figure 3 Schematic diagram of the hardware structure of the electronic device provided by the embodiment of the present disclosure. Figure 3 As shown, the electronic device includes one or more processors 301 and a memory 302 .

[0132] The processor 301 can be a central processing unit (CPU) or other forms of processing units with data processing capabilities and / or instruction execution capabilities, and can control other components in the electronic device to perform desired functions.

[0133] The memory 302 can include one or more computer program products, and the computer program products can include various forms of computer-readable storage media, such as volatile memory and / or non-volatile memory. The volatile memory can include, for example, random access memory (RAM) and / or cache memory, etc. The non-volatile memory can include, for example, read-only memory (ROM), hard disk, flash memory, etc. One or more computer program instructions can be stored on the computer-readable storage media, and the processor 301 can run the program instructions to implement the vehicle electromagnetic immunity simulation method of the embodiments of the present disclosure described above, and / or other desired functions. Various contents such as input signals, signal components, noise components, etc. can also be stored in the computer-readable storage media.

[0134] In one example, the electronic device can further include: an input device 303 and an output device 304, and these components are interconnected through a bus system and / or other forms of connection mechanisms (not shown).

[0135] In addition, the input device 303 can further include, for example, a keyboard, a mouse, and so on.

[0136] The output device 304 can output various information to the outside, including the determined distance information, direction information, etc. The output device 304 can include, for example, a display, a speaker, a printer, and a communication network and its connected remote output devices, and so on.

[0137] Of course, for simplicity, Figure 3 only some of the components related to the present disclosure in the electronic device are shown, and components such as buses, input / output interfaces, etc. are omitted. In addition, according to specific application scenarios, the electronic device can further include any other appropriate components.

[0138] It should be noted that in this document, relational terms such as "first" and "second" are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the term "comprising", "including" or any other variation thereof is intended to cover non-exclusive inclusion, so that a process, method, article or device comprising a series of elements not only includes those elements, but also includes other elements not expressly listed, or elements inherent to such process, method, article or device. Without further limitation, an element defined by the statement "comprising an..." does not exclude the presence of additional identical elements in the process, method, article or device comprising the said element.

[0139] The above are only specific embodiments of the present disclosure, enabling those skilled in the art to understand or implement the present disclosure. Various modifications to these embodiments will be obvious to those skilled in the art, and the general principles defined herein can be implemented in other embodiments without departing from the spirit or scope of the present disclosure. Therefore, the present disclosure will not be limited to the embodiments described herein, but rather to the broadest scope consistent with the principles and novel features disclosed herein.

Claims

1. A simulation method for the electromagnetic immunity of a whole vehicle, characterized in that Including: Determine the vehicle electromagnetic model and the antenna simulation model in the simulation environment using electromagnetic simulation software; Excite the antenna simulation model to generate electromagnetic waves, and calculate the first field strength of preset sensitive points on the vehicle electromagnetic model under the electromagnetic waves according to a preset simulation algorithm; Determine the sensitive points with the first field strength exceeding the preset field strength limit as risk points with excessive field strength; Replace the electromagnetic waves generated by the antenna simulation model with plane waves, and based on the second field strength of the risk points under the plane waves; Compare the change trend of the first field strength with the change trend of the second field strength to determine the reason for the excessive field strength of the risk points.

2. The method according to claim 1, characterized in that The comparing the change trend of the first field strength with the change trend of the second field strength to determine the reason for the excessive field strength of the risk points includes: Determine the first change trend of the first field strength changing with frequency, and the second change trend of the second field strength changing with frequency; Determine the reason for the excessive field strength of the risk points by comparing the consistency between the first change trend and the second change trend.

3. The method according to claim 2, wherein The determining the reason for the excessive field strength of the risk points by comparing the consistency between the first change trend and the second change trend includes: Compare whether the first change trend and the second change trend corresponding to the risk points are consistent; If they are consistent, determine that the reason for the excessive field strength of the risk points is caused by the vehicle body structure; If they are not consistent, determine that the reason for the excessive field strength of the risk points is the antenna natural frequency.

4. The method according to claim 1, characterized in that The using electromagnetic simulation software to determine the vehicle electromagnetic model and the antenna simulation model in the simulation environment includes: Establish a vehicle electromagnetic model, an antenna simulation model, and a metal floor; Calibrate the transmission power of the antenna simulation model; Import the vehicle electromagnetic model, the antenna simulation model with calibrated transmission power, and the metal floor into the electromagnetic simulation software; Arrange the positions of the vehicle electromagnetic model, the antenna simulation model, and the metal floor in the electromagnetic simulation software to determine the vehicle electromagnetic model and the antenna simulation model in the simulation environment.

5. The method according to claim 4, characterized in that, The calibrating the transmission power of the antenna simulation model includes: Determine the reference point position corresponding to the electromagnetic field probe on the vehicle electromagnetic model; In the absence of the vehicle electromagnetic model, set the strip line simulation frequency and the antenna transmission power of the antenna simulation model according to the electromagnetic compatibility (EMC) standard to excite the antenna simulation model to generate electromagnetic waves; Calibrate the transmission power of the antenna simulation model according to the expected field strength at the reference point position.

6. The method according to claim 4, wherein The establishing a vehicle immunity simulation model includes: Import the vehicle data model into the pre-processing software, perform geometric cleaning and electromagnetic mesh division on the vehicle data model to obtain a vehicle mesh model; Import the vehicle mesh model into the electromagnetic simulation software, and check whether the current distribution of the vehicle mesh model is effective through the electromagnetic simulation software; Use the vehicle mesh model with effective inspection as the vehicle electromagnetic model to be simulated and calculated.

7. The method according to claim 1, characterized in that, After determining the reason for the excessive field strength of the risk points, the method further includes: The antenna simulation model is stimulated to generate electromagnetic waves, and current distribution of multiple metal areas on the whole vehicle electromagnetic model under the electromagnetic waves is calculated.

8. An electromagnetic immunity simulation device for a whole vehicle, characterized in that include: A model determination module is used to determine the vehicle electromagnetic model and antenna simulation model under the simulation environment using electromagnetic simulation software; A first simulation module, used for exciting the antenna simulation model to generate electromagnetic waves, and calculating a first field strength of a preset sensitive point on the electromagnetic model of the whole vehicle under the electromagnetic waves according to a preset simulation algorithm; a risk point determination module, configured to determine the sensitive point where the first field strength exceeds a preset field strength limit as a risk point where the field strength is too high; A second simulation module, used to replace the electromagnetic wave generated by the antenna simulation model with a plane wave, based on a second field strength of the risk point under the plane wave; The cause determination module is used to compare the change trend of the first field strength with the change trend of the second field strength to determine the cause of the excessively high field strength at the risk point.

9. An electronic device, characterized in that, include: one or more processors; A memory for storing one or more programs or instructions; The processor is used to execute the steps of the method according to any one of claims 1 to 7 by calling the program or instruction stored in the memory.

10. A vehicle, characterized in that, The vehicle includes the whole-vehicle electromagnetic interference immunity simulation device as described in claim 8.

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