Electromagnetic protection performance evaluation method, device, storage medium and equipment

Abstract

The embodiments of the present application provide a method, apparatus, storage medium, and device for evaluating electromagnetic protection performance. This method uses field strength data from a target vehicle under acceleration, deceleration, constant speed, and stationary conditions as a data source to calculate the temperature rise of target human tissue. Data provided by standard operating conditions and a big data platform are used as speed weighting coefficients and statistical duration coefficients, so that the resulting temperature rise of target human tissue under specific operating conditions is closer to the actual driving state. This effectively characterizes the degree of impact of the target vehicle's electromagnetic radiation on the human body during actual driving. This method, taking into account the absorption and accumulation of electromagnetic waves by different human tissues and the actual driving scenarios of the vehicle, provides a more accurate and comprehensive assessment of the safety risk of electromagnetic protection against human body damage.

Description

Technical Field

[0001] The present application relates to the field of electromagnetic technology, and in particular to an electromagnetic protection performance evaluation method, apparatus, storage medium, and equipment. Background Art

[0002] With the rapid development of the automotive industry, electrification, intelligence, and connectivity are becoming increasingly advanced, and electric vehicles are gradually becoming the mainstream trend in automotive development. At the same time, the high-voltage, high-current power systems and networked communication electronic and electrical equipment in electric vehicles create a more complex electromagnetic environment and higher electromagnetic radiation intensity. When electromagnetic radiation reaches a certain limit on the human body, it can interfere with the normal functioning of human tissues and organs, and even bodily systems, causing discomfort and potentially endangering human health.

[0003] Related technologies typically use magnetic field probes to collect magnetic induction strength at test points within the vehicle's driving position under different operating conditions. These induction strengths are then compared with standard limits to determine whether the current electric vehicle's electromagnetic field exposure to humans meets standards. However, this approach relies solely on in-vehicle field strength test results, which is neither comprehensive nor accurate. Summary of the Invention

[0004] The purpose of the embodiments of the present application is to provide an electromagnetic protection performance evaluation method, device, storage medium and equipment, aiming to solve the problem that the evaluation results of the solutions for evaluating the electromagnetic protection safety risks of electric vehicles in related technologies are not comprehensive and accurate.

[0005] In the first aspect, an embodiment of the present application provides an electromagnetic protection performance evaluation method, including: obtaining field strength data of a target vehicle under a single working condition; the single working condition includes acceleration condition, deceleration condition, uniform speed condition and stationary condition; using the field strength data to calculate the temperature rise of the target human tissue per unit time under the corresponding single working condition, and then calculating the temperature rise of the target human tissue under the standard working condition based on the time distribution corresponding to different single working conditions in the standard working condition; obtaining specific working condition information from a big data platform, and calculating the temperature rise of the target human tissue under the specific working condition based on the specific working condition information and the temperature rise of the target human tissue under the standard working condition; the specific working condition is a vehicle driving condition collected by the big data platform and the frequency of which exceeds a preset threshold; comparing the temperature rise of the target human tissue under the specific working condition with the preset temperature rise threshold corresponding to the target human tissue to determine whether there is a human electromagnetic protection safety risk.

[0006] In this implementation, the target vehicle's field strength data under acceleration, deceleration, constant speed, and stationary conditions is used as the data source to calculate the temperature rise of the target human tissue. Data provided by standard operating conditions and a big data platform are used as speed weighting coefficients and statistical duration coefficients. This ensures that the resulting temperature rise of the target human tissue under specific operating conditions is closer to the actual driving state, effectively characterizing the impact of the target vehicle's electromagnetic radiation on the human body during actual driving. This approach, taking into account the absorption and accumulation of electromagnetic waves by different human tissues, as well as the actual vehicle driving scenarios, results in a more accurate and comprehensive assessment of the human body's electromagnetic protection safety risks.

[0007] Furthermore, in some embodiments, obtaining the field strength data of the target vehicle under a single operating condition includes: obtaining the field strength data of the target vehicle at different occupant positions under the single operating condition.

[0008] In the above implementation process, the in-vehicle environment is subdivided into different passenger positions, providing a data basis for detecting the degree of influence of different passenger positions on human electromagnetic radiation.

[0009] Furthermore, in some embodiments, the field strength data is obtained through a simulation model of the target vehicle.

[0010] In the above implementation process, electromagnetic simulation can be used to obtain field strength data in the early stages of vehicle development, thereby reducing the difficulty of rectification when subsequent evaluations fail, and further reducing R&D costs.

[0011] Furthermore, in some embodiments, the temperature rise per unit time of the target human tissue under a corresponding single working condition is calculated using the field strength data and characteristic parameters of the target human tissue, and the characteristic parameters include body density, conductivity, dielectric constant, magnetic permeability and specific heat capacity.

[0012] In the above implementation process, a solution is provided for converting the temperature rise of human tissue using field strength data.

[0013] Furthermore, in some embodiments, the specific operating condition information includes the duration corresponding to the specific operating condition; and calculating the temperature rise of the target human tissue under the specific operating condition based on the specific operating condition information and the temperature rise of the target human tissue under the standard operating condition includes: calculating the ratio between the duration corresponding to the specific operating condition and the duration corresponding to the standard operating condition; and multiplying the ratio by the temperature rise of the target human tissue under the standard operating condition to obtain the temperature rise of the target human tissue under the specific operating condition.

[0014] In the above implementation process, a solution is provided for calculating the temperature rise of target human tissue under specific working conditions.

[0015] Furthermore, in some embodiments, the specific operating condition information includes at least one of the following: maximum duration of a single trip, duration of continuous high-speed driving, and duration of the highest traffic jam frequency.

[0016] In the above implementation process, the temperature rise of the target human tissue under the specific working condition is calculated in combination with the specific working condition information close to the actual driving state, thereby improving the accuracy of subsequent judgment.

[0017] Furthermore, in some embodiments, when the target human tissue is a critical human tissue, the preset temperature rise threshold is 0.1 degrees Celsius; when the target human tissue is not a critical human tissue, the preset temperature rise threshold is 0.4 degrees Celsius.

[0018] In the above implementation process, the preset temperature rise threshold is set according to human medical data, so that the evaluation standard is more accurate and effective.

[0019] In the second aspect, an electromagnetic protection performance evaluation device provided by an embodiment of the present application includes: an acquisition module for acquiring field strength data of a target vehicle under a single working condition; the single working condition includes acceleration condition, deceleration condition, uniform speed condition and stationary condition; a calculation module for using the field strength data to calculate the temperature rise of the target human tissue per unit time under the corresponding single working condition, and then calculating the temperature rise of the target human tissue under the standard working condition based on the time distribution corresponding to different single working conditions in the standard working condition; a statistical module for obtaining specific working condition information from a big data platform, and calculating the temperature rise of the target human tissue under the specific working condition based on the specific working condition information and the temperature rise of the target human tissue under the standard working condition; the specific working condition is a vehicle driving condition collected by the big data platform and the frequency of which exceeds a preset threshold; a judgment module for comparing the temperature rise of the target human tissue under a specific working condition with the preset temperature rise threshold corresponding to the target human tissue to determine whether there is a human electromagnetic protection safety risk.

[0020] In a third aspect, an embodiment of the present application provides an electronic device, comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the method described in any one of the first aspects when executing the computer program.

[0021] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, on which instructions are stored. When the instructions are executed on a computer, the computer executes the method as described in any one of the first aspects.

[0022] In a fifth aspect, an embodiment of the present application provides a computer program product, which, when running on a computer, enables the computer to execute the method as described in any one of the first aspects.

[0023] Other features and advantages disclosed in the present application will be described in the following description, or some features and advantages can be inferred or determined without doubt from the description, or can be learned by implementing the above-mentioned technology disclosed in the present application.

[0024] In order to make the above-mentioned objects, features and advantages of the present application more obvious and easy to understand, preferred embodiments are given below and described in detail with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following is a brief introduction to the drawings required for use in the embodiments of the present application. It should be understood that the following drawings only show certain embodiments of the present application and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other relevant drawings can be obtained based on these drawings without creative work.

[0026] Figure 1 A flowchart of an electromagnetic protection performance evaluation method provided in an embodiment of the present application;

[0027] Figure 2A A schematic diagram of the workflow of a method for evaluating human electromagnetic protection of electric vehicles based on big data provided in an embodiment of the present application;

[0028] Figure 2B A schematic diagram of a CLTC velocity time variation curve provided in an embodiment of the present application;

[0029] Figure 3 A block diagram of an electromagnetic protection performance evaluation device provided in an embodiment of the present application;

[0030] Figure 4 This is a structural block diagram of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0031] The technical solutions in the embodiments of the present application will be described below in conjunction with the drawings in the embodiments of the present application.

[0032] It should be noted that similar reference numerals and letters represent similar items in the following drawings. Therefore, once an item is defined in one drawing, it does not need to be further defined or explained in subsequent drawings. At the same time, in the description of this application, the terms "first", "second", etc. are only used to distinguish the description and should not be understood as indicating or implying relative importance.

[0033] As described in the background technology, the solutions for evaluating the electromagnetic protection safety risks of electric vehicles in related technologies have the problem that the evaluation results are not comprehensive and accurate. Based on this, the embodiments of the present application provide an electromagnetic protection performance evaluation solution to solve the above problem.

[0034] Next, the embodiments of the present application are introduced:

[0035] like Figure 1 As shown, Figure 1 This is a flowchart of an electromagnetic protection performance evaluation method provided in an embodiment of the present application. The method can be applied to a terminal or server. The terminal can be various electronic devices, including but not limited to smartphones, tablet computers, laptop computers, and desktop computers. The server can be a single server or a distributed server cluster consisting of multiple servers. The terminal or server provides a data processing environment.

[0036] The method comprises:

[0037] In step 101, field strength data of a target vehicle under a single operating condition is obtained; the single operating condition includes an acceleration condition, a deceleration condition, a uniform speed condition, and a stationary condition;

[0038] The target vehicle mentioned in this step is an electric car. Electric cars have more complicated electrical systems than traditional cars. Interconnected electrical equipment can generate electromagnetic radiation to the outside world during operation, which makes the radiation environment in the electric car more complicated. The field intensity data mentioned in this step include electric field strength values ​​or magnetic field strength values. These field intensity data can be obtained by testing the target vehicle. For example, in a test environment such as a laboratory, the driving state of the target vehicle is controlled in an accelerated state, and the electric field strength value or the magnetic field strength value in the car are measured respectively by an electric field probe or a magnetic field probe, thereby obtaining the field intensity data of the target vehicle under the accelerated operating condition.

[0039] In some embodiments, the field strength data can be obtained by using a simulation model of the target vehicle. The simulation model of the target vehicle can be obtained by first establishing a mathematical model of the target vehicle and then converting the mathematical model into a form suitable for computer processing. When establishing the simulation model, it is necessary to input model data related to components such as the motor, battery, and differential reducer, including motor material, motor speed, battery capacity, etc. After the simulation model is established, a single operating condition information can be input to obtain the field strength data output by the simulation model. For example, the initial velocity, acceleration, duration, and other information corresponding to the acceleration operating condition are input into the simulation model. The simulation model simulates the electromagnetic environment of the target vehicle under the acceleration operating condition. At this time, the field strength data output by the simulation model is the field strength data of the target vehicle under the acceleration operating condition. In this way, through electromagnetic simulation, field strength data can be obtained in the early stage of vehicle development, thereby reducing the difficulty of rectification when the subsequent evaluation is unqualified, thereby reducing research and development costs.

[0040] In other embodiments, this step may include obtaining field strength data for different occupant positions within the target vehicle under a single operating condition. Specifically, the vehicle interior environment is segmented into different occupant positions, and through simulation or testing, field strength data for different occupant positions within the vehicle under acceleration, deceleration, constant speed, and stationary conditions is obtained, providing a data basis for detecting the extent to which different occupant positions affect human electromagnetic radiation. Furthermore, when obtaining field strength data through testing, probes can be used to detect field strength data for different body parts of the driver or passenger to improve the accuracy of subsequent calculations of temperature rises in different human tissues.

[0041] In step 102, the temperature rise per unit time of the target human tissue under the corresponding single working condition is calculated using the field strength data, and then the temperature rise of the target human tissue under the standard working condition is calculated based on the time distribution corresponding to different single working conditions in the standard working condition;

[0042] Unlike the related art that only evaluates the safety of electromagnetic protection through test results of the field strength inside the vehicle, this embodiment takes into account the absorption and accumulation of electromagnetic waves by different tissues of the human body, and uses field strength data to calculate the temperature rise of human tissue, making the evaluation more intuitive.

[0043] The target human tissue mentioned in this step can be any human tissue / organ, such as eyes, hands, brain, etc. In some embodiments, the temperature rise per unit time of the target human tissue under the corresponding single working condition can be calculated using the field strength data and the characteristic parameters of the target human tissue, and the characteristic parameters include body density, electrical conductivity, dielectric constant, magnetic permeability and specific heat capacity. Specifically, using the field strength data, the body density and electrical conductivity of the target human tissue, the specific absorption rate of the target human tissue can be calculated, and then based on the specific absorption rate, the time-domain finite element method is combined with the body density, electrical conductivity, dielectric constant, magnetic permeability and specific heat capacity to solve the bioheat equation used to reflect the heat transfer law of the organism, thereby obtaining the temperature rise per unit time of the target human tissue under the corresponding single working condition. Optionally, the unit time can be 0.1 seconds. Of course, the value of the unit time can also vary according to the needs of different scenarios.

[0044] The standard operating condition mentioned in this step is a vehicle driving condition that conforms to actual road conditions. In some embodiments, the standard operating condition may be a CLTC (China Light Vehicle Test Cycle) operating condition. The CLTC operating condition includes urban operating conditions, suburban operating conditions, and high-speed operating conditions, and has a wide range of road condition information. Using the CLTC operating condition as the speed weighting coefficient for evaluating the human electromagnetic protection analytical algorithm is more in line with actual domestic road conditions, and the resulting human electromagnetic protection performance is more reliable and effective. Of course, in other embodiments, the standard operating condition may also be set differently according to the needs of different scenarios. For example, for the research and development of electric vehicles for export, in order to adapt to international standards, the NEDC (New European Driving Cycle) operating condition, the WLTP (World Light Vehicle Test Procedure) operating condition, the EPA (Environmental Protection Agency) operating condition, etc. may be adopted.

[0045] The time distribution of different single working conditions in the standard working condition mentioned in this step can be obtained based on the speed change curve in the standard working condition data. Taking the CLTC working condition as an example, the CLTC working condition speed change curve is a speed-time curve. Through this curve, the duration of the corresponding acceleration working condition, the duration of the corresponding deceleration working condition, the duration of the corresponding uniform speed working condition, and the duration of the corresponding static working condition under the CLTC working condition can be obtained. In this way, the temperature rise of the target human tissue per unit time under a single working condition is multiplied by the duration of the corresponding single working condition under the standard working condition, and then the products corresponding to these four single working conditions are summed and calculated to obtain the temperature rise of the target human tissue under the standard working condition.

[0046] In step 103, specific operating condition information is obtained from the big data platform, and the temperature rise of the target human tissue under the specific operating condition is calculated based on the specific operating condition information and the temperature rise of the target human tissue under the standard operating condition; the specific operating condition is a vehicle driving condition collected by the big data platform and having a frequency exceeding a preset threshold;

[0047] This embodiment takes into account the impact of actual vehicle driving scenarios on human electromagnetic protection safety. Therefore, after obtaining the temperature rise values ​​of different human tissues under standard working conditions, the analytical algorithm for the temperature rise of different human tissues is further improved through information on high-frequency vehicle driving conditions collected through big data.

[0048] The specific operating condition mentioned in this step is a vehicle driving condition collected by the big data platform and whose frequency exceeds a preset threshold. In other words, this specific operating condition actually represents a common vehicle driving scenario obtained through big data statistics. In some embodiments, the specific operating condition information includes the duration corresponding to the specific operating condition. This step may include calculating the ratio between the duration corresponding to the specific operating condition and the duration corresponding to the standard operating condition; and multiplying this ratio by the temperature rise of the target human tissue under the standard operating condition to obtain the temperature rise of the target human tissue under the specific operating condition. In other words, the speed weighting coefficient and the statistical duration coefficient are used in the analytical algorithm based on the data provided by the standard operating condition and the big data, respectively, to estimate the temperature rise of the target human tissue under actual driving conditions. For example, if the duration corresponding to the standard operating condition is 1800 seconds and the duration corresponding to the specific operating condition is 3600 seconds, the temperature rise of the target human tissue under the specific operating condition can be considered to be twice the temperature rise of the target human tissue under the standard operating condition. This estimated result is closer to the actual driving state, thereby improving the accuracy of subsequent judgments. It should be noted that, since the standard operating condition is a vehicle driving condition that conforms to actual road conditions, in fact, the standard operating condition can also be considered as one of the specific operating conditions.

[0049] In some embodiments, the specific operating condition information may include at least one of the following: maximum duration of a single trip, duration of continuous high-speed driving, and duration of the highest traffic jam frequency. These three specific operating condition information correspond to specific operating conditions: single trip, continuous high-speed driving, and traffic jam, respectively, which are commonly found in real-world driving scenarios. Of course, in other embodiments, the specific operating condition information may also include information on other specific operating conditions, such as duration of travel during peak hours. It should be noted that this specific operating condition information may also distinguish between different vehicle types, such as the maximum duration of a single trip for private cars and commercial vehicles, thereby providing a basis for evaluating the electromagnetic protection performance of different vehicles against human bodies. Furthermore, in other embodiments, the temperature rise of the target human tissue under certain specific operating conditions can also be calculated directly based on the temperature rise of the target human tissue per unit time under a single operating condition. For example, a specific operating condition of a long traffic jam can be equivalent to a stationary operating condition. Therefore, the temperature rise of the target human tissue under this specific operating condition can be directly calculated as the product of the temperature rise of the target human tissue per unit time under the stationary operating condition and the duration of the traffic jam.

[0050] Step 104 : Compare the temperature rise of the target human tissue under specific working conditions with a preset temperature rise threshold corresponding to the target human tissue to determine whether there is a human electromagnetic protection safety risk.

[0051] This step involves comparing the temperature rise of the target human tissue under specific operating conditions with the preset temperature rise threshold corresponding to the target human tissue. Based on the comparison results, it can be determined whether the electromagnetic environment of the target vehicle poses a human electromagnetic protection safety risk. Specifically, when the temperature rise of the target human tissue under specific operating conditions exceeds the preset temperature rise threshold corresponding to the target human tissue, it can be determined that the electromagnetic environment of the target vehicle poses a human electromagnetic protection safety risk. When the temperature rise of the target human tissue under specific operating conditions does not exceed the preset temperature rise threshold corresponding to the target human tissue, it can be determined that the electromagnetic environment of the target vehicle does not pose a human electromagnetic protection safety risk. In this way, the human electromagnetic protection performance of the vehicle under development can be accurately predicted.

[0052] The preset temperature rise threshold mentioned in this step can be set based on human medical data. For example, in some embodiments, when the target human tissue is a critical human tissue, the preset temperature rise threshold is 0.1 degrees Celsius; when the target human tissue is not a critical human tissue, the preset temperature rise threshold is 0.4 degrees Celsius. In other words, for important tissues and organs such as the eyes and brain, the temperature rise caused by the electromagnetic radiation of the target vehicle should not exceed 0.1 degrees Celsius, and the corresponding temperature rise of other tissues and organs should not exceed 0.4 degrees Celsius. If the temperature rise exceeds the limit, it will be determined that there is a risk to human electromagnetic protection safety.

[0053] After obtaining the judgment results, they can be fed back to vehicle R&D technicians. Through this judgment, technicians can identify the location of risk of exceeding standards and then complete forward design or rectification and optimization. This provides guidance for R&D work, improves work efficiency, and reduces R&D costs.

[0054] This embodiment of the application uses the field strength data of the target vehicle under acceleration, deceleration, constant speed, and stationary conditions as the data source to calculate the temperature rise of the target human tissue. Data provided by standard operating conditions and a big data platform are used as speed weighting coefficients and statistical duration coefficients. This ensures that the resulting temperature rise of the target human tissue under specific operating conditions is closer to the actual driving state, effectively characterizing the impact of the target vehicle's electromagnetic radiation on the human body during actual driving. This embodiment, by taking into account the absorption and accumulation of electromagnetic waves by different human tissues and the actual vehicle driving scenarios, provides a more accurate and comprehensive assessment of the human body's electromagnetic protection safety risks.

[0055] In order to explain the solution of this application in more detail, a specific embodiment is introduced below:

[0056] like Figure 2A As shown, Figure 2A This is a schematic diagram of the workflow of a method for evaluating human electromagnetic protection of electric vehicles based on big data provided in an embodiment of the present application. The workflow includes:

[0057] S201. Determine, through simulation or testing, the magnetic field / electric field strength at different occupant positions in the vehicle under development under acceleration, deceleration, constant speed, and stationary conditions;

[0058] When obtaining magnetic field / electric field strength, according to the national standard GB / T 37130-2018 "Measurement method of vehicle electromagnetic fields relative to human exposure", the simulation analysis and measurement analysis frequency range is set to 10Hz to 400kHz. The minimum frequency resolution requirement and frequency range settings are shown in the following table:

[0059] Frequency range 10Hz-5kHz 5kHz-50kHz 50kHz-400kHz Frequency resolution 1Hz 5Hz 50Hz

[0060] S202. Convert the magnetic field / electric field intensity into the temperature rise per unit time of different tissues / organs of the human body under corresponding working conditions;

[0061] The unit time is 0.1s. First, the absorbed power of different tissues / organs in the human body is calculated by combining the magnetic field / electric field strength with the body density, conductivity, dielectric constant, and magnetic permeability of different tissues / organs in the human body. Then, the temperature rise per unit time of different tissues / organs in the human body under the corresponding working conditions is calculated based on the specific heat capacity of different tissues / organs.

[0062] S203, calculating the temperature rise of different tissues / organs of the human body under the CLTC operating condition according to the changes in different speeds of the electric vehicle and using the data provided by the CLTC operating condition as a speed weighting coefficient, thereby deriving an analytical algorithm for the temperature rise of different tissues / organs of the human body;

[0063] Among them, the CLTC velocity time variation curve is as follows Figure 2B As shown in Figure 1, the corresponding durations of the four single working conditions of acceleration, deceleration, uniform speed, and stationary in the CLTC working condition can be obtained from this curve. The temperature rise of different tissues / organs of the human body per unit time under a single working condition is multiplied by the corresponding duration of the single working condition in the CLTC working condition, and then the products corresponding to these four single working conditions are summed to obtain the temperature rise of different tissues / organs of the human body under the CLTC working condition.

[0064] S204. Calculate the temperature rise of different tissues / organs in the human body under specific operating conditions, such as the maximum single trip duration of private cars / commercial vehicles, the duration of continuous high-speed driving, and the duration of the highest traffic jam frequency, obtained from the big data information, to further improve the analytical algorithm for the temperature rise of different tissues / organs in the human body;

[0065] S205: Determine whether the temperature rise of different tissues / organs of the human body under the CLTC working condition and the temperature rise under the specific working condition exceeds the temperature rise limit requirement. If yes, execute S206; otherwise, execute S207;

[0066] The evaluation standard is derived from human medical data. For important organs such as the eyes and brain, the temperature rise caused by the electromagnetic radiation of the target vehicle should not exceed 0.1 degrees Celsius. The corresponding temperature rise of other organs should not exceed 0.4 degrees Celsius. If the temperature exceeds the limit, it is considered that there is a risk to human electromagnetic protection safety, that is, it is judged that the temperature rise limit requirement is exceeded.

[0067] S206: Optimize the design / correct the test position and the working conditions exceeding the limit, and then return to S201;

[0068] S207. Determine whether the human electromagnetic protection performance of the vehicle under development is qualified.

[0069] Through the above process, the embodiment of the present application has at least the following advantages: First, in order to solve the problem that the related technology only evaluates the low-frequency magnetic field emission intensity of electric vehicles by testing, the magnetic field intensity / electric field intensity obtained by testing or simulation is used as the data source, and the body density, conductivity, dielectric constant, magnetic permeability, specific heat capacity and vehicle driving time of different tissues / organs of the human body are combined to calculate the temperature rise of different tissues / organs of the human body. The reference factors are comprehensive and the evaluation method is rigorous; second, based on big data analysis of the specific driving conditions of electric vehicle users, the statistical time coefficient of the human electromagnetic protection analysis algorithm is obtained, and the temperature rise of human tissues / organs caused by electric vehicles under specific working conditions is calculated, and then the temperature rise of human tissues / organs caused by electric vehicles under specific working conditions is evaluated. The human electromagnetic protection performance under specific driving scenarios is estimated, and vehicles are divided into two categories: private cars and commercial vehicles for temperature rise analysis based on big data, giving corresponding evaluation results for different user groups, which is more targeted; thirdly, the CLTC operating conditions including urban conditions, suburban conditions and high-speed conditions are used as the speed weighting coefficient for evaluating the human electromagnetic protection analytical algorithm, which is more in line with China's actual road conditions, and the obtained human electromagnetic protection performance is more reliable and effective; fourthly, the magnetic field / electric field results obtained from the initial simulation of vehicle R&D are used as the data source for evaluation work, predicting the human electromagnetic protection performance of vehicles under development, guiding subsequent R&D work, improving work efficiency, and reducing R&D costs.

[0070] In addition, the method of the embodiment of the present application is not only applicable to the evaluation of the electromagnetic protection performance of various electric vehicles on the human body, but also to the evaluation of the electromagnetic protection performance of hybrid vehicles, fuel vehicles, airplanes, ships, smart home appliances, etc.

[0071] Corresponding to the embodiments of the aforementioned method, the present application also provides embodiments of an electromagnetic protection performance evaluation device and a terminal used therein:

[0072] like Figure 3 As shown, Figure 3 : is a block diagram of an electromagnetic protection performance evaluation device provided in an embodiment of the present application, the device comprising:

[0073] An acquisition module 31 is used to acquire field strength data of a target vehicle under a single operating condition; the single operating condition includes an acceleration condition, a deceleration condition, a uniform speed condition, and a stationary condition;

[0074] a calculation module 32 for calculating the temperature rise per unit time of the target human tissue under the corresponding single working condition using the field strength data, and then calculating the temperature rise of the target human tissue under the standard working condition based on the time distribution corresponding to different single working conditions in the standard working condition;

[0075] a statistics module 33 for obtaining specific operating condition information from the big data platform and calculating the temperature rise of the target human tissue under the specific operating condition based on the specific operating condition information and the temperature rise of the target human tissue under the standard operating condition; the specific operating condition is a vehicle driving condition collected by the big data platform and having a frequency exceeding a preset threshold;

[0076] The determination module 34 is used to compare the temperature rise of the target human tissue under specific working conditions with the preset temperature rise threshold corresponding to the target human tissue, and determine whether there is a human electromagnetic protection safety risk.

[0077] The implementation process of the functions and effects of each module in the above-mentioned device is specifically described in the implementation process of the corresponding steps in the above-mentioned method, and will not be repeated here.

[0078] This application also provides an electronic device, see Figure 4 , Figure 4 This is a block diagram of the structure of an electronic device provided in an embodiment of the present application. The electronic device may include a processor 410, a communication interface 420, a memory 430, and at least one communication bus 440. The communication bus 440 is used to enable direct communication between these components. The communication interface 420 of the electronic device in this embodiment of the present application is used to communicate signaling or data with other node devices. The processor 410 may be an integrated circuit chip with signal processing capabilities.

[0079] The processor 410 can be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it can also be a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA) or other programmable logic device, a discrete gate or transistor logic device, or a discrete hardware component. It can implement or execute the various methods, steps, and logic block diagrams disclosed in the embodiments of this application. A general-purpose processor can be a microprocessor, or the processor 410 can also be any conventional processor.

[0080] The memory 430 may be, but is not limited to, a random access memory (RAM), a read-only memory (ROM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), an electrically erasable programmable read-only memory (EEPROM), etc. The memory 430 stores computer-readable instructions. When the computer-readable instructions are executed by the processor 410, the electronic device can perform the above-mentioned operations. Figure 1 The various steps involved in the method embodiment.

[0081] Optionally, the electronic device may further include a storage controller and an input / output unit.

[0082] The memory 430, storage controller, processor 410, peripheral interface, and input / output units are electrically connected to each other directly or indirectly to enable data transmission or interaction. For example, these components can be electrically connected to each other via one or more communication buses 440. The processor 410 is used to execute executable modules stored in the memory 430, such as software function modules or computer programs included in the electronic device.

[0083] The input and output unit is used to provide users with the ability to create tasks and to create optional time periods or preset execution times for the tasks to enable interaction between the user and the server. The input and output unit can be, but is not limited to, a mouse and a keyboard.

[0084] I understand. Figure 4 The structure shown is for illustration only. The electronic device may also include Figure 4 More or fewer components than shown, or with Figure 4 Different configurations shown. Figure 4 Each component shown in the figure can be implemented by hardware, software or a combination thereof.

[0085] An embodiment of the present application further provides a storage medium having instructions stored thereon. When the instructions are run on a computer, the computer program is executed by a processor to implement the method described in the method embodiment. To avoid repetition, details are not given here.

[0086] The present application also provides a computer program product, which, when running on a computer, enables the computer to execute the method described in the method embodiment.

[0087] In the several embodiments provided in this application, it should be understood that the disclosed devices and methods can also be implemented in other ways. The device embodiments described above are merely illustrative. For example, the flowcharts and block diagrams in the accompanying drawings show the possible architectures, functions and operations of the devices, methods and computer program products according to the multiple embodiments of the present application. In this regard, each box in the flowchart or block diagram can represent a module, a program segment or a part of the code, and the module, program segment or a part of the code contains one or more executable instructions for implementing the specified logical functions. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in an order different from that marked in the accompanying drawings. For example, two consecutive boxes can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram and / or flowchart, and the combination of boxes in the block diagram and / or flowchart can be implemented with a dedicated hardware-based system that performs the specified function or action, or can be implemented with a combination of dedicated hardware and computer instructions.

[0088] In addition, the functional modules in each embodiment of the present application can be integrated together to form an independent part, or each module can exist independently, or two or more modules can be integrated to form an independent part.

[0089] If the functions are implemented in the form of software function modules and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for enabling a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0090] The foregoing is merely an embodiment of the present application and is not intended to limit the scope of protection of the present application. Various modifications and variations are possible for those skilled in the art. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present application shall be included within the scope of protection of the present application. It should be noted that similar reference numerals and letters represent similar items in the following figures. Therefore, once an item is defined in one figure, it does not need to be further defined or explained in subsequent figures.

[0091] The above description is merely a specific embodiment of the present application, but the scope of protection of the present application is not limited thereto. Any changes or substitutions that can be easily conceived by a person skilled in the art within the technical scope disclosed in the present application should be included in the scope of protection of the present application. Therefore, the scope of protection of the present application should be based on the scope of protection of the claims.

[0092] It should be noted that, in this document, relational terms such as first and second, etc., are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply the existence of any such actual relationship or order between these entities or operations. Moreover, the terms "comprises," "comprising," or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article, or device comprising a series of elements includes not only those elements, but also other elements not explicitly listed, or elements inherent to such process, method, article, or device. In the absence of further limitations, an element defined by the phrase "comprising a ..." does not exclude the presence of other identical elements in the process, method, article, or device comprising the element.

Claims

1. A method for evaluating electromagnetic protection performance, characterized in that: include: Obtain the field strength data of the target vehicle under a single working condition; The single working condition includes acceleration working condition, deceleration working condition, uniform speed working condition and stationary working condition; Calculating the temperature rise per unit time of the target human tissue under the corresponding single working condition using the field strength data, and then calculating the temperature rise of the target human tissue under the standard working condition based on the time distribution corresponding to different single working conditions in the standard working condition; Obtaining specific operating condition information from a big data platform, and calculating the temperature rise of the target human tissue under the specific operating condition based on the specific operating condition information and the temperature rise of the target human tissue under the standard operating condition; the specific operating condition is a vehicle driving condition collected by the big data platform and having a frequency exceeding a preset threshold; Comparing the temperature rise of the target human tissue under specific working conditions with the preset temperature rise threshold corresponding to the target human tissue to determine whether there is a human electromagnetic protection safety risk; The specific operating condition information includes the duration corresponding to the specific operating condition; The calculating the temperature rise of the target human tissue under the specific working condition based on the specific working condition information and the temperature rise of the target human tissue under the standard working condition includes: Calculating the ratio between the duration corresponding to the specific operating condition and the duration corresponding to the standard operating condition; The temperature rise of the target human tissue under the standard working condition is multiplied by the ratio to obtain the temperature rise of the target human tissue under the specific working condition.

2. The method according to claim 1, characterized in that The obtaining of field strength data of the target vehicle under a single working condition includes: Obtain field strength data of the target vehicle at different occupant positions under a single operating condition.

3. The method according to claim 1, characterized in that The field strength data is obtained through a simulation model of the target vehicle.

4. The method according to claim 3, characterized in that The temperature rise per unit time of the target human tissue under a corresponding single working condition is calculated using the field strength data and characteristic parameters of the target human tissue, where the characteristic parameters include body density, conductivity, dielectric constant, magnetic permeability and specific heat capacity.

5. The method according to claim 1, wherein The specific operating condition information includes at least one of the following: The maximum duration of a single trip, the duration of continuous high-speed driving, and the duration of the highest traffic jam frequency.

6. The method according to claim 1, characterized in that When the target human tissue is a critical human tissue, the preset temperature rise threshold is 0.1 degrees Celsius; when the target human tissue is not a critical human tissue, the preset temperature rise threshold is 0.4 degrees Celsius.

7. An electromagnetic protection performance evaluation device, characterized in that: include: An acquisition module is used to obtain the field strength data of the target vehicle under a single working condition; The single working condition includes acceleration working condition, deceleration working condition, uniform speed working condition and stationary working condition; a calculation module, configured to calculate the temperature rise per unit time of the target human tissue under the corresponding single working condition using the field strength data, and then calculate the temperature rise of the target human tissue under the standard working condition based on the time distribution corresponding to different single working conditions in the standard working condition; a statistical module for obtaining specific operating condition information from the big data platform and calculating the temperature rise of the target human tissue under the specific operating condition based on the specific operating condition information and the temperature rise of the target human tissue under the standard operating condition; the specific operating condition is a vehicle driving condition collected by the big data platform and having a frequency exceeding a preset threshold; A determination module, configured to compare the temperature rise of a target human tissue under specific working conditions with a preset temperature rise threshold corresponding to the target human tissue, and determine whether there is a human electromagnetic protection safety risk; The specific operating condition information includes the duration corresponding to the specific operating condition; the statistical module is specifically configured to: Calculating the ratio between the duration corresponding to the specific operating condition and the duration corresponding to the standard operating condition; The temperature rise of the target human tissue under the standard working condition is multiplied by the ratio to obtain the temperature rise of the target human tissue under the specific working condition.

8. A computer-readable storage medium, characterized in that A computer program is stored thereon, and when the computer program is executed by a processor, the method according to any one of claims 1 to 6 is implemented.

9. An electronic device, characterized in that: The method comprises a processor, a memory, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the method according to any one of claims 1 to 6 is implemented.

Images