CN115859614A - Modeling and simulation calculation method of PEPS system, terminal and storage medium - Google Patents

Modeling and simulation calculation method of PEPS system, terminal and storage medium Download PDF

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Publication number
CN115859614A
CN115859614A CN202211513403.7A CN202211513403A CN115859614A CN 115859614 A CN115859614 A CN 115859614A CN 202211513403 A CN202211513403 A CN 202211513403A CN 115859614 A CN115859614 A CN 115859614A
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China
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peps system
antenna
model
optimization
simulation
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姜意驰
马文峰
谷原野
李志刚
孙运玺
马良
李彦奇
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FAW Bestune Car Co Ltd
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FAW Bestune Car Co Ltd
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Priority to CN202211513403.7A priority Critical patent/CN115859614A/en
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Abstract

The invention discloses a method, a device, a terminal and a storage medium for modeling and simulation calculation of a PEPS (passive entry passive start) system, belonging to the technical field of computer aided engineering. The PEPS system performance parameters of different positions on the whole vehicle are obtained through simulation calculation, and the conclusion of the PEPS system optimal arrangement position under the model structure of the specific vehicle is obtained through comparison analysis. Simulation analysis accuracy can be reversely verified through actual measurement results, risks can be identified in advance for vehicle type project development, cost such as vehicle rectification test in the later period is greatly reduced, and research and development level is improved.

Description

Modeling and simulation calculation method of PEPS system, terminal and storage medium
Technical Field
The invention discloses a PEPS system modeling and simulation calculation method, a terminal and a storage medium, and belongs to the technical field of computer aided engineering.
Background
Along with the development of automobile science and technology, no matter traditional fuel oil vehicle or electric motor car, along with intelligent internet, intelligent driving, intelligent passenger cabin add hold, equip more and more, also more and more advanced, the function is more and more abundant, especially the continuous upgrading of electric motor car networking, has put forward more requirement and challenge to vehicle entering convenience and system reliability. The vehicle-mounted PEPS system is the primary system performance for bearing interaction between a client and a vehicle, the PEPS antenna is a signal receiving entity, the performance of the PEPS antenna is good or bad, the communication performance carried on the whole vehicle directly influences the network connection application experience of the whole vehicle, and even the quality performance of the entering and starting functions of the whole vehicle is directly determined. No matter how excellent the internet connection function design of a vehicle is, when the PEPS communication quality cannot be met, the communication design of the whole vehicle will experience very poor. And even a reverse sense of experience for the user. Therefore, the performance of the PEPS system on the whole vehicle is directly related to the quality of the network connection performance of the whole vehicle. Meanwhile, due to the design of the whole vehicle model, the part arrangement space of the whole vehicle is limited, and once the model is fixed, the arrangement of other parts can be subjected to the competition of the optimal arrangement position based on the comprehensive factors such as cost, period and performance. In the past, the traditional design still locates the final position based on qualitative empirical arrangement, physical test and parameter optimization for the invisible electromagnetic field radio frequency type design. But the period is long, the repeated calibration and rectification cost is high, the comprehensive cost is very high, the forward development of products is not facilitated, and the market is quickly occupied. The invention standardizes a simple, effective and quantitative method for modeling calculation and performance simulation analysis of the PEPS system of the whole vehicle, and can convert invisible, invisible and inaccurate electromagnetic performance of the PEPS system receiving performance into quantifiable parameterized graphs, and simultaneously present quantitative information through software post-processing, so that the performance of the PEPS system can be visually evaluated. The method is simple, efficient and visual, only an effective model needs to be built in the early stage, parameterized frequency sweep calculation is set, the method is directly used for optimizing simulation analysis of the arrangement position, risks are recognized and judged in advance, development quality is improved, development period is greatly shortened, and development cost is reduced.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides a PEPS system modeling and simulation calculation method, a terminal and a storage medium, and a method for carrying out quantitative analysis by combining with calculation software is adopted, so that the problems of long development period, high cost and lag in finding and solving when the performance of the PEPS system of the whole vehicle is optimized are solved.
The technical scheme of the invention is as follows:
according to a first aspect of the embodiments of the present invention, a PEPS system modeling and simulation calculation method is provided, which is characterized by including:
respectively collecting 3D digital-analog related data of the PEPS system antenna and the finished automobile and respectively establishing a PEPS system antenna simplified model and a finished automobile simplified model through CATIA software;
importing the PEPS system antenna simplified model and the finished automobile simplified model into Hypermesh software to carry out simplified modeling processing and gridding division optimization to respectively obtain a simplest model of the PEPS system antenna after gridding division optimization and a simplest model of the finished automobile after gridding division optimization;
importing the simplest model of the PEPS system antenna after the meshing optimization into FEKO software to perform modeling and parameter setting on an antenna function main body of the PEPS system to obtain the simplest model of the PEPS system antenna after the meshing optimization to be calculated;
importing the simplified model of the finished automobile after the mesh partition optimization into FEKO software to perform simulation software calculation and check to obtain a simplified model of the finished automobile after the qualified mesh partition optimization;
importing the finished automobile simplest model after the qualified grid division optimization and the PEPS system antenna simplest model after the grid division optimization to be calculated into FEKO software for calculation to obtain a simulation analysis result of the PEPS system carrying finished automobile body model;
carrying out result comparison evaluation on actual measurement data of a trial-manufacture vehicle of simulation analysis results of a vehicle body model carried by the PEPS system;
adjusting the performance of the simplest model of the PEPS system antenna after the meshing optimization to be calculated on the arrangement positions of the simplest model of the whole vehicle after different qualified meshing optimizations, and calculating to obtain the performance simulation result of the potential arrangement positions of all the positions;
and importing the performance simulation results of the potential arrangement positions of the positions into FEKO software to perform data comparison, analysis and comprehensive evaluation to obtain the optimal arrangement position of the PEPS system antenna in the whole vehicle.
Preferably, the importing the simplest model of the PEPS system antenna after the meshing optimization into FEKO software to perform modeling and parameter setting on the PEPS system antenna functional body to obtain the simplest model of the PEPS system antenna after the meshing optimization to be calculated further includes: and calculating the single antenna performance directional diagram of the PEPS antenna by FEKO software.
Preferably, the 3D digital-analog related data of the PEPS system antenna at least includes: the system comprises PEPS system 3D data, a real object sample, a circuit matching circuit, an antenna material and a circuit board material.
According to a second aspect of the embodiments of the present invention, there is provided a terminal, including:
one or more processors;
a memory for storing the one or more processor-executable instructions;
wherein the one or more processors are configured to:
the method of the first aspect of the embodiments of the present invention is performed.
According to a third aspect of embodiments of the present invention, there is provided a non-transitory computer-readable storage medium, wherein instructions, when executed by a processor of a terminal, enable the terminal to perform the method of the first aspect of embodiments of the present invention.
According to a fourth aspect of embodiments of the present invention, there is provided an application program product, which, when running on a terminal, causes the terminal to perform the method of the first aspect of embodiments of the present invention.
The invention has the beneficial effects that:
the patent provides a modeling and simulation calculation method of a PEPS system, a terminal and a storage medium, model processing is carried out based on CATIA software, simplification and modeling are carried out on an antenna single body and a whole vehicle body structure by combining Hypermesh software, and sweep frequency parameter setting and position optimization setting are carried out on an optimized model through FEKO software. The PEPS system performance parameters of different positions on the whole vehicle are obtained through simulation calculation, and the conclusion of the PEPS system optimal arrangement position under the model structure of the specific vehicle is obtained through comparison analysis. Simulation analysis accuracy can be reversely verified through actual measurement results, risks can be identified in advance for vehicle type project development, cost such as vehicle rectification test in the later period is greatly reduced, and research and development level is improved.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the invention, as claimed.
Drawings
FIG. 1 is a flow diagram illustrating a PEPS system modeling and simulation calculation method in accordance with an exemplary embodiment;
fig. 2 is a modeling model diagram illustrating an antenna of a PEPS system in a PEPS system modeling and simulation calculation method according to an exemplary embodiment;
fig. 3 is a diagram illustrating a grid model of an antenna of a PEPS system in a PEPS system modeling and simulation calculation method according to an exemplary embodiment;
fig. 4 is a diagram illustrating a PEPS near field distribution of a PEPS system antenna in a PEPS system modeling and simulation calculation method according to an exemplary embodiment;
FIG. 5 is a diagram illustrating a simulated magnetic field distribution of a PEPS antenna model carried by a whole vehicle in a PEPS system modeling and simulation calculation method according to an exemplary embodiment;
fig. 6 is a schematic block diagram of a terminal structure shown in accordance with an example embodiment.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the accompanying drawings, and it should be understood that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In the description of the present invention, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc., indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, and are only for convenience of description and simplicity of description, but do not indicate or imply that the device or element being referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus, should not be construed as limiting the present invention.
In the description of the present invention, it should be noted that, unless otherwise explicitly specified or limited, the terms "mounted," "connected," and "connected" are to be construed broadly, e.g., as meaning either a fixed connection, a removable connection, or an integral connection; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.
The embodiment of the invention provides a PEPS system modeling and simulation calculation method, which is realized by a terminal, wherein the terminal can be a smart phone, a desktop computer or a notebook computer and the like, and the terminal at least comprises a CPU and the like.
Example one
Fig. 1 is a flowchart illustrating a PEPS system modeling and simulation calculation method, which is used in a terminal, according to an exemplary embodiment, and includes the following steps:
step 101, respectively collecting 3D digital-analog related data of a PEPS system antenna and a finished automobile, and respectively establishing a PEPS system antenna simplified model and a finished automobile simplified model through CATIA software, wherein the specific contents are as follows:
the method comprises the steps of collecting 3D data and physical samples of the PEPS system, collecting circuit matching circuits, collecting basic information such as antenna materials and circuit board materials, and preparing for modeling of an antenna calculation model. The whole vehicle data is constructed in multiple specialties, all part model data required by simulation modeling calculation needs to be collected, matching simplification is made, the wavelength is calculated according to the frequency band of the antenna, the whole vehicle body structural part is simplified according to the wavelength size, and later-stage modeling and calculation workload is reduced.
And the data model compares the sample, key parts and connection relation of the 3D data are picked up, and non-concerned items are deleted, so that the CATIA software model is simplified to the greatest extent. The real vehicle data model identifies components, materials and sizes through CATIA software, reserves a metal part which contributes to simulation calculation and has actual electromagnetic reflection with the calculated frequency band wavelength, deletes a non-metal part, and achieves the purpose that the available calculation of the whole vehicle model is simplified to the utmost extent. Thereby respectively obtaining a PEPS system antenna simplified model and a whole vehicle simplified model
Step 102, importing the PEPS system antenna simplified model and the finished automobile simplified model into Hypermesh software to carry out simplified modeling processing and carry out meshing optimization to respectively obtain a PEPS system antenna simplest model after the meshing optimization and a finished automobile simplest model after the meshing optimization, wherein the specific contents are as follows:
and (3) introducing the PEPS system antenna simplified model and the finished automobile simplified model into Hypermesh software for carrying out simplification and modeling treatment, and carrying out mesh division, wherein the antenna mesh model is shown in figure 2. And carrying out size inspection and unqualified grid optimization on the divided grids until the grids can be used for simulation software to calculate, and respectively obtaining a PEPS system antenna simplest model after grid division optimization and a whole vehicle simplest model after grid division optimization.
103, importing the simplest model of the PEPS system antenna after the meshing optimization into FEKO software to perform modeling and parameter setting on an antenna function main body of the PEPS system, so as to obtain the simplest model of the PEPS system antenna after the meshing optimization to be calculated, wherein the concrete contents are as follows:
importing the simplest model of the PEPS system antenna after mesh division optimization into FEKO software for calculation and inspection, modeling the PEPS antenna functional main body through the FEKO software, then performing parameter setting, further setting a solving method and a solving target, obtaining the simplest model of the PEPS system antenna after mesh division optimization to be calculated, and calculating the single antenna performance directional diagram of the PEPS antenna through the FEKO software.
104, importing the simplified model of the finished automobile after the meshing optimization into FEKO software to perform simulation software calculation and check to obtain the simplified model of the finished automobile after the qualified meshing optimization, wherein the specific contents are as follows:
the simplest finished automobile model after grid division optimization is led into FEKO software, because the finished automobile grids are spliced through component grids, strict requirements on finished automobile grid division and grid connection quality are met through simulation calculation, and when the finished automobile grids are led into FEKO calculation check, the optimization process needs to be repeatedly executed until the finished automobile model is subjected to calculation check through the simulation software.
105, importing the finished automobile simplest model after qualified grid division optimization and the PEPS system antenna simplest model after to-be-calculated grid division optimization into FEKO software to calculate to obtain a simulation analysis result of the PEPS system carrying finished automobile body model, wherein the specific contents are as follows:
and importing the finished automobile simplest model after the qualified grid division optimization and the PEPS system antenna simplest model after the grid division optimization to be calculated into FEKO software to set a calculation solving method, solve a target and divide grids for pre-calculation, and performing the performance simulation calculation of the PEPS system of the finished automobile to obtain a simulation analysis result of the PEPS system carrying the finished automobile body model.
106, comparing and evaluating the results of the simulation analysis results of the PEPS system carried whole vehicle body model and the trial-manufacture vehicle actual measurement data, wherein the specific contents are as follows:
and comparing and evaluating the simulation analysis result of the PEPS system carried whole vehicle body model with the actual measurement data of the trial-manufactured vehicle, and ensuring the modeling accuracy if the trends are consistent, as shown in FIG. 3.
Step 107, adjusting the performance of the simplest model of the PEPS system antenna after the meshing optimization to be calculated at the arrangement positions of the simplest model of the whole vehicle after the different qualified meshing optimizations to calculate the performance simulation result of the potential arrangement positions at each position, wherein the specific contents are as follows:
based on the conclusion of trend consistency of simulation and actual measurement results, the accuracy of modeling and simulation can be confirmed, so that the performance calculation of the simplest model of the PEPS system antenna after grid division optimization to be calculated at the arrangement position of the simplest model of the whole vehicle after different qualified grid division optimization is adjusted in a mode of directly replacing the arrangement position of the model without actual measurement, and as shown in fig. 4 and 5, a PEPS antenna near-field magnetic field distribution simulation diagram and a PEPS antenna loaded whole vehicle model simulation distribution diagram are respectively shown, and the optimal arrangement position is searched. And carrying out simulation analysis calculation on models of different positions of the whole vehicle body carried by the PEPS system to obtain performance simulation results of all potential arrangement positions.
And 107, importing the performance simulation results of the potential arrangement positions of the positions into FEKO software to perform data comparison analysis comprehensive evaluation to obtain the optimal arrangement position of the PEPS system antenna in the whole vehicle.
Example two
Fig. 6 is a block diagram of a terminal according to an embodiment of the present application, where the terminal may be the terminal in the foregoing embodiment. The terminal 200 may be a portable mobile terminal such as: smart phones, tablet computers. The terminal 200 may also be referred to by other names such as user equipment, portable terminal, etc.
Generally, the terminal 200 includes: a processor 201 and a memory 202.
The processor 201 may include one or more processing cores, such as a 4-core processor, an 8-core processor, and so on. The processor 201 may be implemented in at least one hardware form of a DSP (Digital Signal Processing), an FPGA (Field-Programmable Gate Array), and a PLA (Programmable Logic Array). The processor 201 may also include a main processor and a coprocessor, where the main processor is a processor for Processing data in an awake state, and is also called a Central Processing Unit (CPU); a coprocessor is a low power processor for processing data in a standby state. In some embodiments, the processor 201 may be integrated with a GPU (Graphics Processing Unit), which is responsible for rendering and drawing the content required to be displayed on the display screen. In some embodiments, the processor 201 may further include an AI (Artificial Intelligence) processor for processing computing operations related to machine learning.
Memory 202 may include one or more computer-readable storage media, which may be tangible and non-transitory. Memory 202 may also include high speed random access memory, as well as non-volatile memory, such as one or more magnetic disk storage devices, flash memory storage devices. In some embodiments, a non-transitory computer readable storage medium in the memory 202 is used to store at least one instruction for execution by the processor 201 to implement a PEPS system modeling and simulation computation method provided herein.
In some embodiments, the terminal 200 may further include: a peripheral interface 203 and at least one peripheral. Specifically, the peripheral device includes: at least one of radio frequency circuitry 204, touch display screen 205, camera 206, audio circuitry 207, positioning component 208, and power supply 209.
The peripheral interface 203 may be used to connect at least one peripheral related to I/O (Input/Output) to the processor 201 and the memory 202. In some embodiments, the processor 201, memory 202, and peripheral interface 203 are integrated on the same chip or circuit board; in some other embodiments, any one or two of the processor 201, the memory 202 and the peripheral device interface 203 may be implemented on separate chips or circuit boards, which is not limited by the embodiment.
The Radio Frequency circuit 204 is used for receiving and transmitting RF (Radio Frequency) signals, also called electromagnetic signals. The radio frequency circuitry 204 communicates with a communication network and other communication devices via electromagnetic signals. The rf circuit 204 converts the electrical signal into an electromagnetic signal for transmission, or converts the received electromagnetic signal into an electrical signal. Optionally, the radio frequency circuit 204 comprises: an antenna system, an RF transceiver, one or more amplifiers, a tuner, an oscillator, a digital signal processor, a codec chipset, a subscriber identity module card, and so forth. The radio frequency circuit 204 may communicate with other terminals via at least one wireless communication protocol. The wireless communication protocols include, but are not limited to: the world wide web, metropolitan area networks, intranets, various generations of mobile communication networks (2G, 3G, 4G, and 5G), wireless local area networks, and/or WiFi (Wireless Fidelity) networks. In some embodiments, the rf circuit 204 may further include NFC (Near Field Communication) related circuits, which are not limited in this application.
The touch display screen 205 is used to display a UI (User Interface). The UI may include graphics, text, icons, video, and any combination thereof. The touch display screen 205 also has the ability to capture touch signals on or over the surface of the touch display screen 205. The touch signal may be input to the processor 201 as a control signal for processing. The touch screen display 205 is used to provide virtual buttons and/or a virtual keyboard, also referred to as soft buttons and/or a soft keyboard. In some embodiments, the touch display screen 205 may be one, providing the front panel of the terminal 200; in other embodiments, the touch display screen 205 may be at least two, respectively disposed on different surfaces of the terminal 200 or in a folded design; in still other embodiments, the touch display 205 may be a flexible display, disposed on a curved surface or on a folded surface of the terminal 200. Even more, the touch display screen 205 can be arranged in a non-rectangular irregular figure, i.e. a shaped screen. The touch Display screen 205 can be made of LCD (Liquid Crystal Display), OLED (Organic Light-Emitting Diode), and other materials.
Camera assembly 206 is used to capture images or video. Optionally, camera assembly 206 includes a front camera and a rear camera. Generally, a front camera is used for realizing video call or self-shooting, and a rear camera is used for realizing shooting of pictures or videos. In some embodiments, the number of the rear cameras is at least two, and each of the rear cameras is any one of a main camera, a depth-of-field camera and a wide-angle camera, so that the main camera and the depth-of-field camera are fused to realize a background blurring function, and the main camera and the wide-angle camera are fused to realize a panoramic shooting function and a VR (Virtual Reality) shooting function. In some embodiments, camera assembly 206 may also include a flash. The flash lamp can be a monochrome temperature flash lamp or a bicolor temperature flash lamp. The double-color-temperature flash lamp is a combination of a warm-light flash lamp and a cold-light flash lamp and can be used for light compensation under different color temperatures.
The audio circuit 207 is used to provide an audio interface between the user and the terminal 200. The audio circuitry 207 may include a microphone and a speaker. The microphone is used for collecting sound waves of a user and the environment, converting the sound waves into electric signals, and inputting the electric signals into the processor 201 for processing or inputting the electric signals into the radio frequency circuit 204 to realize voice communication. The microphones may be provided in plural, respectively at different portions of the terminal 200 for the purpose of stereo sound collection or noise reduction. The microphone may also be an array microphone or an omni-directional pick-up microphone. The speaker is used to convert electrical signals from the processor 201 or the radio frequency circuitry 204 into sound waves. The loudspeaker can be a traditional film loudspeaker or a piezoelectric ceramic loudspeaker. When the speaker is a piezoelectric ceramic speaker, the speaker can be used for purposes such as converting an electric signal into a sound wave audible to a human being, or converting an electric signal into a sound wave inaudible to a human being to measure a distance. In some embodiments, the audio circuitry 207 may also include a headphone jack.
The positioning component 208 is used to locate the current geographic Location of the terminal 200 to implement navigation or LBS (Location Based Service).
The power supply 209 is used to supply power to the various components in the terminal 200. The power supply 209 may be alternating current, direct current, disposable or rechargeable. When the power supply 209 includes a rechargeable battery, the rechargeable battery may be a wired rechargeable battery or a wireless rechargeable battery. The wired rechargeable battery is a battery charged through a wired line, and the wireless rechargeable battery is a battery charged through a wireless coil. The rechargeable battery may also be used to support fast charge technology.
In some embodiments, the terminal 200 also includes one or more sensors 210. The one or more sensors 210 include, but are not limited to: acceleration sensor 211, gyro sensor 212, pressure sensor 213, fingerprint sensor 214, optical sensor 215, and proximity sensor 216.
The acceleration sensor 211 can detect the magnitude of acceleration on three coordinate axes of the coordinate system established with the terminal 200. For example, the acceleration sensor 211 may be used to detect components of the gravitational acceleration in three coordinate axes. The processor 201 may control the touch display screen 205 to display the user interface in a landscape view or a portrait view according to the gravitational acceleration signal collected by the acceleration sensor 211. The acceleration sensor 211 may also be used for acquisition of motion data of a game or a user.
The gyro sensor 212 may detect a body direction and a rotation angle of the terminal 200, and the gyro sensor 212 may collect a 3D (3 dimensional) motion of the user with respect to the terminal 200 in cooperation with the acceleration sensor 211. The processor 201 may implement the following functions according to the data collected by the gyro sensor 212: motion sensing (such as changing the UI according to a user's tilting operation), image stabilization at the time of photographing, game control, and inertial navigation.
The pressure sensor 213 may be disposed at a side bezel of the terminal 200 and/or at a lower layer of the touch display screen 205. When the pressure sensor 213 is disposed at the side frame of the terminal 200, a user's grip signal to the terminal 200 can be detected, and left-right hand recognition or shortcut operation can be performed based on the grip signal. When the pressure sensor 213 is disposed at the lower layer of the touch display screen 205, it is possible to control the operability control on the UI interface according to the pressure operation of the user on the touch display screen 205. The operability control comprises at least one of a button control, a scroll bar control, an icon control, and a menu control.
The fingerprint sensor 214 is used for collecting a fingerprint of a user to identify the identity of the user according to the collected fingerprint. Upon identifying that the user's identity is a trusted identity, the processor 201 authorizes the user to perform relevant sensitive operations including unlocking a screen, viewing encrypted information, downloading software, paying, and changing settings, etc. The fingerprint sensor 214 may be disposed on the front, back, or side of the terminal 200. When a physical button or a vendor Logo is provided on the terminal 200, the fingerprint sensor 214 may be integrated with the physical button or the vendor Logo.
The optical sensor 215 is used to collect the ambient light intensity. In one embodiment, the processor 201 may control the display brightness of the touch display screen 205 based on the ambient light intensity collected by the optical sensor 215. Specifically, when the ambient light intensity is high, the display brightness of the touch display screen 205 is increased; when the ambient light intensity is low, the display brightness of the touch display screen 205 is turned down. In another embodiment, processor 201 may also dynamically adjust the shooting parameters of camera head assembly 206 based on the ambient light intensity collected by optical sensor 215.
A proximity sensor 216, also known as a distance sensor, is typically provided on the front face of the terminal 200. The proximity sensor 216 is used to collect the distance between the user and the front surface of the terminal 200. In one embodiment, when the proximity sensor 216 detects that the distance between the user and the front surface of the terminal 200 gradually decreases, the processor 201 controls the touch display screen 205 to switch from the bright screen state to the dark screen state; when the proximity sensor 216 detects that the distance between the user and the front surface of the terminal 200 becomes gradually larger, the touch display screen 205 is controlled by the processor 201 to switch from the breath screen state to the bright screen state.
Those skilled in the art will appreciate that the configuration shown in fig. 6 is not limiting of terminal 200, and may include more or fewer components than shown, or some components may be combined, or a different arrangement of components may be employed.
EXAMPLE III
In an exemplary embodiment, a computer-readable storage medium is further provided, on which a computer program is stored, which when executed by a processor, implements a PEPS system modeling and simulation calculation method as provided by all inventive embodiments of the present application.
Any combination of one or more computer-readable media may be employed. The computer readable medium may be a computer readable signal medium or a computer readable storage medium. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
A computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Computer program code for carrying out operations for aspects of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, smalltalk, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the latter scenario, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
Example four
In an exemplary embodiment, an application program product is also provided, which includes one or more instructions executable by the processor 201 of the apparatus to perform the above-described method for modeling and simulation calculation of a PEPS system.
While embodiments of the invention have been disclosed above, it is not intended to be limited to the uses set forth in the specification and examples. It can be applied to all kinds of fields suitable for the present invention. Additional modifications will readily occur to those skilled in the art. It is therefore intended that the invention not be limited to the exact details and illustrations described and illustrated herein, but fall within the scope of the appended claims and equivalents thereof.

Claims (5)

1. A PEPS system modeling and simulation calculation method is characterized by comprising the following steps:
respectively collecting 3D digital-analog related data of the PEPS system antenna and the finished automobile and respectively establishing a PEPS system antenna simplified model and a finished automobile simplified model through CATIA software;
importing the PEPS system antenna simplified model and the finished automobile simplified model into Hypermesh software to carry out simplified modeling processing and gridding division optimization to respectively obtain a simplest model of the PEPS system antenna after gridding division optimization and a simplest model of the finished automobile after gridding division optimization;
importing the simplest model of the PEPS system antenna after the meshing optimization into FEKO software to perform modeling and parameter setting on an antenna function main body of the PEPS system to obtain the simplest model of the PEPS system antenna after the meshing optimization to be calculated;
importing the simplified model of the finished automobile after the mesh partition optimization into FEKO software to perform simulation software calculation and check to obtain a simplified model of the finished automobile after the qualified mesh partition optimization;
importing the finished automobile simplest model after the qualified grid division optimization and the PEPS system antenna simplest model after the grid division optimization to be calculated into FEKO software for calculation to obtain a simulation analysis result of the PEPS system carrying finished automobile body model;
carrying out result comparison evaluation on actual measurement data of a trial-manufacture vehicle of simulation analysis results of a vehicle body model carried by the PEPS system;
adjusting the performance of the simplest model of the PEPS system antenna after the meshing optimization to be calculated on the arrangement positions of the simplest model of the whole vehicle after different qualified meshing optimizations, and calculating to obtain the performance simulation result of the potential arrangement positions of all the positions;
and importing the performance simulation results of the potential arrangement positions of the positions into FEKO software to perform data comparison, analysis and comprehensive evaluation to obtain the optimal arrangement position of the PEPS system antenna in the whole vehicle.
2. The PEPS system modeling and simulation calculating method according to claim 1, wherein the simplest model of the PEPS system antenna after the meshing optimization is imported into FEKO software to perform modeling and parameter setting on a PEPS system antenna functional main body to obtain the simplest model of the PEPS system antenna after the meshing optimization to be calculated, and further comprising: and calculating the single antenna performance directional diagram of the PEPS antenna by FEKO software.
3. The PEPS system modeling and simulation calculating method as claimed in claim 2, wherein the PEPS system antenna 3D digital-analog related data at least comprises: the PEPS system comprises 3D data, a physical sample, a circuit matching circuit, an antenna material and a circuit board material.
4. A terminal, comprising:
one or more processors;
a memory for storing the one or more processor-executable instructions;
wherein the one or more processors are configured to:
a PEPS system modeling and simulation computation method as claimed in any one of claims 1 to 3 is performed.
5. A non-transitory computer readable storage medium, wherein instructions in the storage medium, when executed by a processor of a terminal, enable the terminal to perform a PEPS system modeling and simulation computation method according to any one of claims 1 to 3.
CN202211513403.7A 2022-11-29 2022-11-29 Modeling and simulation calculation method of PEPS system, terminal and storage medium Pending CN115859614A (en)

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