Engine noise assessment methods and electronic equipment

Abstract

This application relates to the field of automotive testing, specifically to an engine noise assessment method and electronic equipment. The method includes: constructing an engine external characteristic noise model and an engine parking idle noise model based on data from an engine noise database; calculating an external characteristic noise guidance curve based on the engine external characteristic noise model, and then determining the engine's full-speed-range operating condition index and engine single-condition index; calculating a parking idle speed guidance value based on the engine parking idle noise model, and then determining the engine parking idle speed operating condition index; determining an engine noise level assessment library based on the engine's full-speed-range operating condition index, engine single-condition index, and engine parking idle speed operating condition index; determining three indicators for the engine being assessed; and determining the engine noise level assessment grade based on the three indicators and the engine noise level assessment library. This application provides comprehensive evaluation indicators and can comprehensively assess the engine's noise level.

Description

Technical Field

[0001] This application relates to the field of automotive testing, and more specifically, to an engine noise assessment method and electronic equipment. Background Technology

[0002] As the heart of a car, the engine's NVH (Noise, Vibration, and Harshness) level directly affects the subjective experience of driving and riding in the vehicle, whether it's a gasoline or hybrid. Engine noise is a major source of in-vehicle noise, especially during low-speed driving and idling, requiring close monitoring. Engine noise evaluation needs to assess not only the magnitude of the noise level but also its linearity, and must cover a comprehensive range of operating conditions.

[0003] Current noise rating methods only consider the noise level at rated power as the sole evaluation indicator, which has significant limitations. This approach is too simplistic for automotive engines, especially passenger car gasoline engines, which have a wide range of operating conditions, and fails to truly assess engine noise levels. Therefore, a comprehensive engine noise evaluation method and tool are needed to quickly and comprehensively evaluate the noise level of an engine product, providing a basis for engine R&D designers to understand and improve product performance.

[0004] In view of the above, this application is hereby submitted. Summary of the Invention

[0005] The purpose of this application is to provide an engine noise assessment method and electronic device to solve the problems of single evaluation indicators, one-sided evaluation and incompleteness in the existing technology.

[0006] To achieve the above objectives, this application adopts the following technical solution: In a first aspect, this application provides a method for evaluating engine noise, including: Based on data from the engine noise database, an engine external characteristic noise model and an engine parking idle noise model are constructed respectively. The engine external characteristic noise model is used to characterize the relationship between rated power, rated speed, speed corresponding to external characteristic operating conditions, and external characteristic noise data. The engine parking idle noise model is used to characterize the relationship between engine type, engine displacement, parking idle speed, and parking idle noise data. Based on the engine external characteristic noise model, rated power, rated speed, and speed corresponding to the external characteristic operating conditions, determine the engine external characteristic noise guide curve; Based on the external characteristic noise test data and the engine external characteristic noise guidance curve, the engine full speed domain operating condition index and the engine single operating condition index are determined respectively. Based on the engine parking idle noise model, engine type, engine displacement, and parking idle speed, determine the engine parking idle noise guide value; Based on the parking idle noise test data and the engine parking idle noise guide value, determine the engine parking idle condition index. Based on the engine full-speed-range operating condition index, the engine single operating condition index, and the engine parking idle speed operating condition index, an engine noise level assessment library is determined. Based on the rated power of the engine under evaluation, the rated speed of the engine under evaluation, the speed corresponding to the external characteristic operating condition of the engine under evaluation, and the external characteristic noise model of the engine, the external characteristic noise guide curve of the engine under evaluation is calculated, and then the full speed domain operating condition index and the single operating condition index of the engine under evaluation are determined. Based on the type of engine being evaluated, the displacement of the engine being evaluated, the idle speed of the engine being evaluated, and the engine idle noise model, the guide value of the idle speed of the engine being evaluated is calculated, and then the idle speed condition index of the engine being evaluated is determined. The noise rating of the engine is determined based on the full-speed-range operating condition index, the single-condition index, the parking idle speed index, and the engine noise level assessment library.

[0007] In some technical solutions, the step of constructing an engine external characteristic noise model and an engine parking idle noise model based on data from an engine noise database includes: Based on the test data of rated power, rated speed, speed corresponding to external characteristic operating conditions, and external characteristic noise, an engine external characteristic noise model is constructed. Based on engine type, engine displacement, parking idle speed, and parking idle noise test data, an engine parking idle noise model is constructed.

[0008] In some technical solutions, the engine external characteristic noise model is as follows: In the formula: L PL This is the A-weighted sound pressure level guideline under engine external characteristic conditions; P r Rated power; n r Rated speed; n represents the rotational speed corresponding to the external characteristic operating condition; f1(P) r f2(n) r f3(n) and f3(n) are respectively 10lg(P) r ), 10lg(n) r ), 10lg(n); a, b, c, and d are partial coefficients.

[0009] In some technical solutions, the engine parking idle noise model is as follows: Naturally aspirated engine:

[0010] Supercharged engine:

[0011] In the formula: L idle This is the A-weighted sound pressure level guideline under engine idling conditions. D represents the engine displacement; n is the parking idle speed; f1(D) and f2(n) are 10lg(D) and 10lg(n) respectively; a, b, c, d, e, and f are partial coefficients.

[0012] In some technical solutions, the parking idle speed is a standardized parking idle speed. The standardized parking idle speeds for different types of engines are as follows: 1000 r / min for two-cylinder engines, 900 r / min for three-cylinder engines, 750 r / min for four-cylinder engines, 650 r / min for six-cylinder engines, 600 r / min for eight-cylinder engines, and the actual parking idle speed for hybrid dedicated engines.

[0013] In some technical solutions, determining the engine's full-speed-range operating condition indicators and single-condition operating condition indicators based on external characteristic noise test data and the engine's external characteristic noise guidance curve includes: a) Calculate the sound pressure level difference at each speed under the full speed range of the engine's external characteristic operating conditions. : External characteristic operating condition sound pressure level difference =External characteristic noise test data - corresponding value of engine external characteristic noise guide curve; The full speed range is from the engine's lowest stable speed to the rated speed. b) Calculate the engine's full-speed-range operating parameters, specifically the sound pressure level difference under external characteristic conditions. mean : = / n, where n is the number of sound pressure level differences under external characteristic conditions; c) Calculate the engine's single-condition performance index, which is the sound pressure level difference value under external characteristic conditions. maximum value : =MAX( ),in These are the sound pressure level difference values ​​under the external characteristic conditions at the first speed, the sound pressure level difference values ​​under the external characteristic conditions at the second speed, ..., the sound pressure level difference values ​​under the external characteristic conditions at the nth speed.

[0014] In some technical solutions, determining the engine parking idle speed condition index based on parking idle speed noise test data and the engine parking idle speed noise guide value includes: the engine parking idle speed condition index is the idle speed condition sound pressure level difference value. : Sound pressure level difference under idling conditions =Parking idling noise test data - Parking idling noise guide value.

[0015] In some technical solutions, determining the engine noise level assessment library based on the engine's full-speed-range operating condition index, the engine's single-condition operating condition index, and the engine's parking idle speed operating condition index includes: Calculations are performed on all engines in the engine noise database to obtain three indicators for each engine, forming a three-indicator dataset; the three indicators are the engine full-speed domain operating condition indicator, the engine single operating condition indicator, and the engine parking idle speed operating condition indicator. Each indicator dataset is sorted in ascending order of the indicator, and each individual indicator is divided into three levels, A, B, and C, according to the first a% part, a%-b% part, and b% part after the indicator dataset. The datasets of the three indicators and the three levels of A, B, and C of the three indicators constitute the engine noise level assessment library.

[0016] In some technical solutions, determining the noise rating of the engine based on the engine's full-speed-range operating condition indicators, single-condition indicators, parking idle speed indicators, and the engine noise level assessment library includes: Based on the three index values ​​and the classification of the three indexes of the evaluated engine, the evaluated engine is rated as A, B, and C noise levels in the three indexes respectively. The comprehensive noise evaluation of the engine is determined based on its noise rating levels in the three indicators.

[0017] In some technical solutions, after determining the noise rating of the engine based on the full-speed-range operating condition index, the single-condition index, the parking idle speed index, and the engine noise level assessment library, the following steps are also included: The engine noise data to be evaluated is input into the engine noise database, the engine external characteristic noise model and the engine parking idle noise model are iteratively optimized, and the data sets of the three indicators and the noise level classification standard values ​​of the three indicators in the engine noise level assessment library are updated.

[0018] Secondly, this application provides an electronic device, comprising: At least one processor, and a memory communicatively connected to at least one of the processors; The memory stores instructions that can be executed by at least one of the processors, which are executed by at least one of the processors to enable at least one of the processors to perform the method described above.

[0019] Compared with the prior art, the beneficial effects of this application are as follows: The engine noise assessment method provided in this application first constructs an engine external characteristic noise model and an engine parking idle noise model based on data from an engine noise database. The engine external characteristic noise model is used to characterize the relationship between rated power, rated speed, speed corresponding to external characteristic operating conditions, and external characteristic noise data. The engine parking idle noise model is used to characterize the relationship between engine type, engine displacement, parking idle speed, and parking idle noise data. These two models not only express the relationship between engine noise and rated power, but more importantly, they take into account factors such as rated speed, speed corresponding to external characteristic operating conditions, engine type, engine displacement, and parking idle speed. They are also more consistent with the characteristics of automotive engines, especially gasoline engines, and can take into account the standardization and universality of different specifications and types (fuel and hybrid, turbocharged and naturally aspirated) engines. Therefore, the evaluation is more comprehensive and the results are more reliable.

[0020] Secondly, this method determines the engine's full-speed-domain operating condition index and the engine's single-condition operating condition index based on the engine's external characteristic noise model; it determines the engine's parking idle speed condition index based on the engine's parking idle speed noise model; and it establishes an engine noise level assessment library based on the engine's full-speed-domain operating condition index, the engine's single-condition operating condition index, and the engine's parking idle speed condition index. After obtaining the various models, this application further identifies three key indicators: the engine's full-speed-domain operating condition index, the engine's single-condition operating condition index, and the engine's parking idle speed condition index. These three key indicators are used to develop an engine noise level assessment library, which subsequently serves as the basis for assessing the noise level of the engine being evaluated. The assessment conditions and indicators better reflect the experience of vehicle occupants. The engine's external characteristic operating condition represents the maximum noise state of the engine at various operating speeds while the vehicle is in motion, while the parking idle speed condition represents the engine noise state when the vehicle is stationary. These conditions best represent the engine's noise performance level. The engine full-speed-range operating condition index represents the comprehensive deviation between the actual noise of the engine under external characteristic conditions and the external characteristic noise guide curve (theoretical noise), indicating the overall engine noise level under driving conditions. The engine single operating condition index represents the maximum deviation between the actual noise of the engine under external characteristic conditions and the external characteristic noise guide curve (theoretical noise), indicating the linearity of engine noise. The engine parking idle speed operating condition index represents the deviation between the actual noise of the engine under parking idle speed conditions and the parking idle speed noise guide value (theoretical noise), indicating the engine noise level under parking conditions. In particular, using a standardized parking idle speed for the parking idle speed noise guide value of engines of different displacements is more in line with the perspective of vehicle occupants, i.e., the noise expectation for the same displacement engine is the same; while for hybrid-specific engines, since the parking idle speed is related to the parking power generation, using the actual parking idle speed is more in line with the noise expectation of vehicle occupants.

[0021] Finally, based on the rated power, rated speed, speed corresponding to the external characteristic operating condition of the engine, and the engine external characteristic noise model, the full-speed-domain operating condition index and the single-condition index of the engine are determined. Based on the engine type, displacement, parking idle speed, and the engine parking idle noise model, the parking idle condition index is determined. Based on the full-speed-domain operating condition index, the single-condition index, the parking idle condition index, and the engine noise level assessment library, the noise level of the engine is determined. By inputting the basic parameters of the engine (rated power, rated speed, speed corresponding to the external characteristic operating condition, engine type, displacement, and parking idle speed) into the two models respectively, the specific values ​​of the three key indicators of the engine are obtained. These values ​​are then compared with the engine noise level assessment library to determine the noise level of the engine.

[0022] Compared to existing noise rating methods, this application evaluates engine external noise levels not only through three indicators: full-speed-range operating condition indicators, single-condition indicators, and parking / idle operating condition indicators. These indicators also assess the linearity of external noise and the magnitude of idle noise. These operating conditions are the most representative, enabling a rapid and comprehensive evaluation of an engine's noise level. This application utilizes data from an engine noise database (using hundreds of mainstream automotive engines as samples) to establish an engine noise model and extract combinations of engine noise guidance values. Combined with engine noise evaluation rules and automatic evaluation methods, this forms a set of methods for automatic engine noise assessment and iterative updates. It provides the industry with a comprehensive engine noise evaluation solution that is highly applicable to gasoline engines, scientifically accurate, and compatible with current testing methods. Attached Figure Description

[0023] To more clearly illustrate the technical solutions in the specific embodiments of this application or the prior art, the drawings used in the description of the specific embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of this application. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0024] Figure 1 This is a flowchart illustrating the engine noise assessment method provided in this application.

[0025] Figure 2 This is a schematic diagram of the engine external characteristic noise guide curve and external characteristic noise test data in the embodiments of this application.

[0026] Figure 3 This is a schematic diagram of the engine parking idle noise guide value and parking idle noise test data in the embodiments of this application.

[0027] Figure 4 This is a schematic diagram of the engine noise assessment device provided in this application.

[0028] Figure 5 This is a schematic diagram of the engine noise assessment device provided in this application.

[0029] Figure 6 This is a schematic diagram of the structure of the electronic device provided in this application. Detailed Implementation

[0030] The following description, in conjunction with the accompanying drawings, illustrates exemplary embodiments of this application, including various details to aid understanding. These should be considered merely exemplary. Therefore, those skilled in the art will recognize that various changes and modifications can be made to the embodiments described herein without departing from the scope and spirit of this application. Similarly, for clarity and brevity, descriptions of well-known functions and structures are omitted in the following description.

[0031] Engine external characteristic (i.e., full load characteristic) operating conditions represent the maximum noise level of the engine at various operating speeds while the vehicle is in motion, while the parking idle condition represents the engine noise level when the vehicle is stationary. These conditions best represent the engine's noise performance level. This application uses hundreds of mainstream automotive engines as database samples to establish an engine noise model and extract engine noise guidance value combinations. Combined with engine noise evaluation rules and automatic evaluation methods, a set of methods for automatic engine noise assessment and automatic iterative updates is formed. This method can be software, thereby providing the industry with an engine noise evaluation solution.

[0032] Example 1 Figure 1 This is a flowchart of an engine noise assessment method provided in this embodiment. The method can be executed by an engine noise assessment device, which can be composed of software and / or hardware and is generally integrated into an electronic device, such as a computer. For ease of understanding, each step in the generation method in this embodiment is executed by an electronic computer.

[0033] like Figure 1 As shown, this embodiment provides a method for evaluating engine noise, including the following steps: S110. Based on the data in the engine noise database, construct an engine external characteristic noise model and an engine parking idle noise model respectively; the engine external characteristic noise model is used to characterize the relationship between rated power, rated speed, speed corresponding to external characteristic operating conditions and external characteristic noise data, and the engine parking idle noise model is used to characterize the relationship between engine type, engine displacement, parking idle speed and parking idle noise data.

[0034] The applicant, through extensive experiments, discovered that rated power, rated speed (engine speed at rated power), and speed corresponding to the external characteristic operating conditions are the three parameters with the highest correlation and largest contribution to engine external characteristic noise. The external characteristic noise data is the engine's average sound pressure level at 1 meter, also known as the A-weighted sound pressure level guideline under engine external characteristic operating conditions. The parking idle noise data is the engine's average sound pressure level at 1 meter while parked, also known as the engine's A-weighted sound pressure level guideline under parking idle conditions.

[0035] Optionally, the step of constructing an engine external characteristic noise model and an engine parking idle noise model based on data from the engine noise database includes: Based on the test data of rated power, rated speed, speed corresponding to external characteristic operating conditions, and external characteristic noise, an engine external characteristic noise model is constructed. Based on engine type, engine displacement, parking idle speed, and parking idle noise test data, an engine parking idle noise model is constructed.

[0036] Optionally, the engine external characteristic noise model is: In the formula: L PL The A-weighted sound pressure level guideline under engine external characteristic conditions is expressed in decibels (dBA). P r The rated power is expressed in kilowatts (kW), and the value in the formula is a dimensionless number. n r The rated speed is expressed in revolutions per minute (r / min), and the value in the formula is a dimensionless number. n is the rotational speed corresponding to the external characteristic operating condition, in revolutions per minute (r / min), and the number in the formula is a dimensionless number; f1(P) r f2(n) r f3(n) and f3(n) are respectively 10lg(P) r ), 10lg(n) r ), 10lg(n); a, b, c, and d are the partial coefficients, which are obtained by multivariate regression calculation using a large dataset of noisy data.

[0037] Optionally, the engine parking idle noise model is: Naturally aspirated engine:

[0038] Supercharged engine:

[0039] In the formula: L idle The A-weighted sound pressure level guideline is given under engine idling conditions, in decibels (dBA). D is the engine displacement, in liters (L), and the dimensionless value is used in the formula. n is the parking idle speed, in revolutions per minute (r / min), and the value in the formula is a dimensionless number. f1(D) and f2(n) are 10lg(D) and 10lg(n) respectively; a, b, c, d, e, and f are the partial coefficients, which are obtained through multivariate regression calculation using a large dataset of noisy data.

[0040] S120. Based on the engine external characteristic noise model, rated power, rated speed, and speed corresponding to the external characteristic operating condition, determine the engine external characteristic noise guidance curve; based on the external characteristic noise test data and the engine external characteristic noise guidance curve, determine the engine full speed domain operating condition index and the engine single operating condition index respectively.

[0041] Specifically, the rated power P of each engine in the engine noise database is... r Rated speed n r Substituting the corresponding speed n under the external characteristic operating condition into the engine external characteristic noise model obtained in step S110, the external characteristic noise guide curve L for each database engine is calculated. PL The curve is an engine sound pressure level curve at 1 meter that varies with engine speed (e.g., Figure 2 (As shown), the unit is dBA. The external characteristic noise guide curve represents the average external characteristic noise of an engine of the same parameter type.

[0042] Optionally, determining the engine's full-speed-range operating condition indicators and single-condition operating condition indicators based on the external characteristic noise test data and the engine's external characteristic noise guidance curve includes: a) Calculate the sound pressure level difference at each speed under the full speed range of the engine's external characteristic operating conditions. : External characteristic operating condition sound pressure level difference =External characteristic noise test data - corresponding value of engine external characteristic noise guide curve; The full speed range is from the engine's lowest stable speed to the rated speed. b) Calculate the engine's full-speed-range operating parameters, specifically the sound pressure level difference under external characteristic conditions. mean : = / n, where n is the number of sound pressure level differences under external characteristic conditions; c) Calculate the engine's single-condition performance index, which is the sound pressure level difference value under external characteristic conditions. maximum value : =MAX( ),in These are the sound pressure level difference values ​​under the external characteristic conditions at the first speed, the sound pressure level difference values ​​under the external characteristic conditions at the second speed, ..., the sound pressure level difference values ​​under the external characteristic conditions at the nth speed.

[0043] The value corresponding to the engine external characteristic noise guide curve is the same guide value on the engine external characteristic noise guide curve as the speed during the external characteristic noise test.

[0044] Specifically, such as Figure 2 As shown, the sound pressure level difference under external characteristic operating conditions They are respectively , , , , , , , , , , Mean For = ( ) / 11. External characteristic operating condition sound pressure level difference value maximum value = .

[0045] S130. Based on the engine parking idle noise model, engine type, engine displacement, and parking idle speed, determine the engine parking idle noise guide value; based on the parking idle noise test data and the engine parking idle noise guide value, determine the engine parking idle operating condition index.

[0046] Specifically, the engine type, engine displacement, and parking idle speed are input into the engine parking idle noise model to obtain the engine parking idle noise guide value. The parking idle noise guide value represents the average parking idle noise of engines of the same parameter type. Then, using the engine noise test data of each database engine and the engine parking idle noise guide value, the parking idle condition index of each database engine is calculated, which is the idle condition sound pressure level difference value. The calculation process is as follows: Sound pressure level difference under idling conditions =Parking Idle Noise Test Data - Engine Parking Idle Noise Guideline Values.

[0047] Optionally, the parking idle speed is a standardized parking idle speed, and the standardized parking idle speeds for different types of engines are as follows: 1000 r / min for two-cylinder engines, 900 r / min for three-cylinder engines, 750 r / min for four-cylinder engines, 650 r / min for six-cylinder engines, 600 r / min for eight-cylinder engines, and the actual parking idle speed for hybrid dedicated engines.

[0048] like Figure 3As shown, the engine parking idle noise guideline is divided into turbocharged guideline and naturally aspirated guideline, corresponding to the noise guideline values ​​for different engine types at parking idle speed. For a six-cylinder engine, its standardized parking idle speed is 650 r / min. Considering the engine type, one of the turbocharged or naturally aspirated guideline values ​​is selected as the engine parking idle noise guideline. Then, the formula is used: Idle Sound Pressure Level Difference... =Parking idling noise test data - Engine parking idling noise guide value, and the engine parking idling condition index can be calculated.

[0049] S140. Determine the engine noise level assessment library based on the engine full-speed range operating condition index, the engine single operating condition index, and the engine parking idle speed operating condition index.

[0050] Combining the calculated data for each database engine obtained in steps S120 and S130, three indicator datasets are obtained: engine full-speed domain operating condition index, engine single operating condition index, and engine parking idle speed operating condition index, and stored in the evaluation database. Each index dataset contains the corresponding index value for all database engines, sorted in ascending order of the index value; the smaller the index value, the better the engine performs in that index. Based on this, each individual index is graded according to the first a% portion, the a%-b% portion, and the portion after b% of the index dataset, where a is less than b, corresponding to three levels: A, B, and C. The details are as follows:

[0051] , These are the index values ​​of the engines that are closest to the a% and b% rankings in the full speed domain operating condition index dataset. , These are the index values ​​of the engines that are closest to the a% and b% rankings in the single operating condition index dataset. , These are the index values ​​of the engines that are closest to the a% and b% rankings in the parking idle speed condition index dataset. The noise level classification standard values ​​for the three indicators in the table above are stored in the evaluation database. These three indicators evaluate not only the magnitude of the engine's external characteristic noise, but also the linearity of the external characteristic noise and the magnitude of idle noise, enabling a quick and comprehensive evaluation of the noise level of an engine product.

[0052] S150. Based on the rated power of the engine under evaluation, the rated speed of the engine under evaluation, the speed corresponding to the external characteristic operating condition of the engine under evaluation, and the external characteristic noise model of the engine, calculate the external characteristic noise guidance curve of the engine under evaluation, and then determine the full speed domain operating condition index and the single operating condition index of the engine under evaluation.

[0053] Specifically, the rated power, rated speed, and speed corresponding to the external characteristic operating condition of the engine under evaluation are input into the engine external characteristic noise model to calculate the external characteristic noise guidance curve of the engine under evaluation, and then the full-speed-domain operating condition index and the single-condition index of the engine under evaluation are determined. The more specific determination methods of the full-speed-domain operating condition index and the single-condition index of the engine under evaluation are basically the same as those in S120, and will not be repeated here.

[0054] S160. Based on the type of engine being evaluated, the displacement of the engine being evaluated, the parking idle speed of the engine being evaluated, and the parking idle noise model of the engine, calculate the parking idle speed guide value of the engine being evaluated, and then determine the parking idle speed condition index of the engine being evaluated.

[0055] Specifically, the engine type, displacement, and idle speed are input into the engine parking idle noise model to calculate the engine parking idle guide value, and then the engine parking idle condition index is determined. The more specific method for determining the engine parking idle condition index is basically the same as S130, and will not be repeated here.

[0056] S170. Determine the noise rating level of the engine being evaluated based on the full-speed-range operating condition index, the single-operating condition index, the parking idle speed operating condition index, and the engine noise level evaluation library.

[0057] Specifically, the noise level ratings of the engine under the following conditions are compared with those obtained from S150 and S160: full-speed range operating condition index, single-condition index, and parking idle condition index. The final noise rating of the engine in each of the three indicators is then determined. An engine is awarded "Engine Quietness Star" when it receives three A's or two A's and one B's. If the engine is a hybrid-specific engine and does not have a parking idle condition, it is awarded "Engine Quietness Star" when it receives two A's or one A' and one B's.

[0058] For example ≤ , ≤ ≤ , ≤ The noise rating levels of the engine being evaluated are then obtained as follows: full speed range operating condition index A, single operating condition index B, and parking idle speed operating condition index A.

[0059] According to the rules, an engine that simultaneously receives three A's or two A's and one B's, or, for example, a hybrid-specific engine that receives two A's or one A's and one B's under no parking idling conditions, is awarded the title of "Engine Quietness Star". Therefore, this engine was ultimately awarded the title of "Engine Quietness Star".

[0060] S180. Input the engine noise data to be evaluated into the engine noise database, iteratively optimize the engine external characteristic noise model and the engine parking idle noise model, and update the data sets of the three indicators and the noise level classification standard values ​​of the three indicators in the engine noise level assessment library.

[0061] Specifically, after the noise assessment of the engine is completed, the engine noise data (including its basic parameters, its external characteristic noise test data, and its parking idle noise test data) is automatically added to and updated in the engine noise database. Step S110 is then re-executed to update the a, b, c, and d partial coefficients of the engine's external characteristic noise model, and the a, b, c, d, e, and f partial coefficients of the engine's parking idle noise model. Then, steps S120-S140 are re-executed to update the data in the three indicator datasets in the assessment database, and the three indicator data of the engine being assessed are added. Finally, the noise level classification standard values ​​for the three indicators stored in the assessment database are updated.

[0062] Compared to existing noise rating methods, this application evaluates engine external noise levels not only through three indicators: full-speed-range operating condition indicators, single-condition indicators, and parking / idle operating condition indicators. These indicators also assess the linearity of external noise and the magnitude of idle noise. These operating conditions are the most representative, enabling a rapid and comprehensive evaluation of an engine's noise level. This application utilizes data from an engine noise database (using hundreds of mainstream automotive engines as samples) to establish an engine noise model and extract combinations of engine noise guidance values. Combined with engine noise evaluation rules and automatic evaluation methods, this forms a set of methods for automatic engine noise assessment and iterative updates. It provides the industry with a comprehensive engine noise evaluation solution that is highly applicable to gasoline engines, scientifically accurate, and compatible with current testing methods.

[0063] Furthermore, the following steps are included before S110: The engine underwent necessary processing and was installed in a precision-grade semi-anechoic chamber. A 1-meter sound pressure level test was conducted using the 4-point method to obtain noise test data for both full-load (external) and parking / idling conditions. The engine noise test data includes the 1-meter sound pressure level noise value and the corresponding engine speed under the test conditions.

[0064] The average sound pressure level (SPL) is calculated by taking the 1-meter sound pressure level measured by the four microphones according to the following formula, and then the engine's 1-meter average sound pressure level data under full load (external characteristics) and parking idle conditions are obtained.

[0065] In the formula: The average A-weighted sound pressure level; Let be the A-weighted sound pressure level measured at point i; N is the number of measurement points.

[0066] The above steps were followed to measure hundreds of automotive engines of different displacements and specifications, and the obtained engine noise test data and corresponding engine basic parameters were added to the engine noise database.

[0067] Furthermore, for the engine 1-meter sound pressure level test, four microphone measuring points should be arranged according to the requirements of standard SAE J1074 201405 Engine Sound Level Measurement Procedure, and the sound pressure level at each measuring point should be tested. The four microphones should be positioned 1 meter away from the center of the engine envelope.

[0068] Furthermore, the microphone test frequency range should at least cover a frequency range of 1 / 3 octave band from 50 Hz to 10000 Hz. The resolution should be set to 2 Hz, with noise A-weighted.

[0069] Furthermore, when measuring the noise of external characteristic operating conditions, the speed interval should be selected according to the 500rpm coefficient, or it can be increased. The number of operating conditions should be at least 6 and preferably more than 10.

[0070] Furthermore, the basic engine parameters include: engine name, engine type, number of cylinders, engine displacement, turbocharger type, rated power, rated speed, speed range, parking idle speed, and maximum torque. These basic engine parameters determine the baseline range of engine noise, which is subsequently used to calculate the engine noise guideline value. The engine type, engine displacement, parking idle speed, rated power, rated speed, and speed corresponding to external characteristic operating conditions from the basic engine parameters, together with the external characteristic noise test data and the parking idle noise test data, constitute the data in the engine noise database.

[0071] Furthermore, after obtaining the three indicator datasets, a subset of engine indicators within the corresponding parameter range can be selected from the three indicator datasets according to the engine's basic parameter options, and then the noise levels of the three indicator subsets can be divided. Then, the noise assessment of the engine being evaluated is performed.

[0072] Example 2 like Figure 4 As shown, this embodiment provides an engine noise assessment device, including: The model building module 201 is used to build an engine external characteristic noise model and an engine parking idle noise model based on data in the engine noise database. The engine external characteristic noise model is used to characterize the relationship between rated power, rated speed, speed corresponding to external characteristic operating conditions and external characteristic noise data. The engine parking idle noise model is used to characterize the relationship between engine type, engine displacement, parking idle speed and parking idle noise data. The index determination module 202 is used to determine the engine external characteristic noise guidance curve based on the engine external characteristic noise model, rated power, rated speed, and speed corresponding to the external characteristic operating condition; to determine the engine full speed domain operating condition index and the engine single operating condition index based on the external characteristic noise test data and the engine external characteristic noise guidance curve; to determine the engine parking idle speed noise guidance value based on the engine parking idle speed noise model, engine type, engine displacement, and parking idle speed; and to determine the engine parking idle speed operating condition index based on the parking idle speed noise test data and the engine parking idle speed noise guidance value. The engine noise level assessment library determination module 203 is used to determine the engine noise level assessment library based on the engine full speed range operating condition index, the engine single operating condition index and the engine parking idle speed operating condition index. The engine performance evaluation module 204 is used to calculate the external characteristic noise guidance curve of the engine based on the rated power, rated speed, speed corresponding to the external characteristic operating condition, and the external characteristic noise model of the engine, thereby determining the full speed domain operating condition index and single operating condition index of the engine; and to calculate the parking idle speed guidance value of the engine based on the engine type, displacement, parking idle speed, and the parking idle noise model of the engine, thereby determining the parking idle operating condition index of the engine. The noise rating determination module 205 is used to determine the noise rating of the engine based on the full-speed-range operating condition index of the engine, the single operating condition index of the engine, the parking idle speed operating condition index of the engine, and the engine noise rating library.

[0073] The device is used to perform the above method, and therefore has at least the functional modules and beneficial effects corresponding to the above method.

[0074] Figure 5 The schematic diagram of the engine noise assessment device of this embodiment is shown.

[0075] Example 3 like Figure 6 As shown, this embodiment provides an electronic device, including: At least one processor; and A memory communicatively connected to at least one of the processors; wherein, The memory stores instructions executable by at least one of the processors to enable the processor to perform the described method. Since at least one processor in the electronic device is capable of performing the described method, it thus possesses at least the same advantages as the described method.

[0076] Optionally, the electronic device also includes interfaces for connecting the various components, including high-speed interfaces and low-speed interfaces. The components are interconnected using different buses and can be mounted on a common motherboard or otherwise installed as needed. The processor can process instructions executed within the electronic device, including instructions stored in or on memory to display graphical information of a GUI (Graphical User Interface) on an external input / output device (such as a display device coupled to the interface). In other embodiments, multiple processors can be used with multiple memories, and / or multiple buses can be used with multiple memories, if desired. Similarly, multiple electronic devices (e.g., as a server array, a group of blade servers, or a multiprocessor system) can be connected, each providing some of the necessary operations. Figure 6 Take processor 301 as an example.

[0077] The memory 302, as a computer-readable storage medium, can be used to store software programs, computer-executable programs, and modules, such as the program instructions / modules corresponding to the engine noise assessment method in this embodiment (e.g., the model building module, index determination module, engine noise level assessment library determination module, engine index determination module, and engine noise level assessment module in the engine noise assessment device). The processor 301 executes various functional applications and data processing of the device by running the software programs, instructions, and modules stored in the memory 302, thereby implementing the aforementioned engine noise assessment method.

[0078] The memory 302 may primarily include a program storage area and a data storage area. The program storage area may store the operating system and applications required for at least one function; the data storage area may store data created based on terminal usage. Furthermore, the memory 302 may include high-speed random access memory and non-volatile memory, such as at least one disk storage device, flash memory device, or other non-volatile solid-state storage device. In some instances, the memory 302 may further include memory remotely located relative to the processor 301, which can be connected to the device via a network. Examples of such networks include, but are not limited to, the Internet, intranets, local area networks, mobile communication networks, and combinations thereof.

[0079] The electronic device may further include an input device 303 and an output device 304. The processor 301, memory 302, input device 303, and output device 304 can be connected via a bus or other means. Figure 6 Taking the example of a connection between China and Israel via a bus.

[0080] Input device 303 can receive input digital or character information, and output device 304 may include a display device, an auxiliary lighting device (e.g., an LED), and a haptic feedback device (e.g., a vibration motor). The display device may include, but is not limited to, a liquid crystal display (LCD), a light-emitting diode (LED) display, and a plasma display. In some embodiments, the display device may be a touchscreen.

[0081] Example 4 This embodiment provides a computer-readable storage medium storing computer instructions for causing a computer to perform the methods described above. The computer instructions on this computer-readable storage medium, used to cause a computer to perform the methods described above, thus have at least the same advantages as the methods described above.

[0082] The medium in this application may be any combination of one or more computer-readable media. The medium may be a computer-readable signal medium or a computer-readable storage medium. The medium may be, for example,—but not limited to—an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples of the medium (a non-exhaustive list) include: an electrical connection having one or more wires, a portable computer disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination thereof. In this document, the medium may be any tangible medium containing or storing a program that may be used by or in connection with an instruction execution system, apparatus, or device.

[0083] Computer-readable signal media may include data signals propagated in baseband or as part of a carrier wave, carrying computer-readable program code. Such propagated data signals may take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof. Computer-readable signal media may also be any computer-readable medium other than computer-readable storage media, capable of sending, propagating, or transmitting programs for use by or in connection with an instruction execution system, apparatus, or device.

[0084] Program code contained on a computer-readable medium may be transmitted using any suitable medium, including but not limited to wireless, wire, optical fiber, RF (Radio Frequency), or any suitable combination thereof.

[0085] Computer program code for performing the operations of this application can be written in one or more programming languages ​​or a combination thereof. Programming languages ​​include object-oriented programming languages—such as Java, Smalltalk, and C++—as well as conventional procedural programming languages—such as the "C" language or similar programming languages. The program code can be executed entirely on the user's computer, partially on the user's computer, as a standalone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving remote computers, the remote computer can be connected to the user's computer via any type of network—including a local area network (LAN) or a wide area network (WAN)—or can be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0086] It should be understood that the various forms of processes shown above can be used to rearrange, add, or delete steps. For example, the steps described in this application can be executed in parallel, sequentially, or in different orders, as long as the desired result of the technical solution disclosed in this application can be achieved, and this is not limited herein.

[0087] The specific embodiments described above do not constitute a limitation on the scope of protection of this application. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this application should be included within the scope of protection of this application.

Claims

1. A method for assessing engine noise, characterized in that, include: Based on data from the engine noise database, an engine external characteristic noise model and an engine parking idle noise model are constructed respectively. The engine external characteristic noise model is used to characterize the relationship between rated power, rated speed, speed corresponding to external characteristic operating conditions, and external characteristic noise data. The engine parking idle noise model is used to characterize the relationship between engine type, engine displacement, parking idle speed, and parking idle noise data. Based on the engine external characteristic noise model, rated power, rated speed, and speed corresponding to the external characteristic operating conditions, determine the engine external characteristic noise guide curve; Based on the external characteristic noise test data and the engine external characteristic noise guidance curve, the engine full speed domain operating condition index and the engine single operating condition index are determined respectively. Based on the engine parking idle noise model, engine type, engine displacement, and parking idle speed, determine the engine parking idle noise guide value; Based on the parking idle noise test data and the engine parking idle noise guide value, determine the engine parking idle condition index. Based on the engine full-speed-range operating condition index, the engine single operating condition index, and the engine parking idle speed operating condition index, an engine noise level assessment library is determined. Based on the rated power of the engine under evaluation, the rated speed of the engine under evaluation, the speed corresponding to the external characteristic operating condition of the engine under evaluation, and the external characteristic noise model of the engine, the external characteristic noise guide curve of the engine under evaluation is calculated, and then the full speed domain operating condition index and the single operating condition index of the engine under evaluation are determined. Based on the type of engine being evaluated, the displacement of the engine being evaluated, the idle speed of the engine being evaluated, and the engine idle noise model, the guide value of the idle speed of the engine being evaluated is calculated, and then the idle speed condition index of the engine being evaluated is determined. The noise rating of the engine is determined based on the full-speed-range operating condition index, the single-condition index, the parking idle speed index, and the engine noise level assessment library.

2. The engine noise assessment method according to claim 1, characterized in that, The process involves constructing an engine external characteristic noise model and an engine parking idle noise model based on data from the engine noise database, including: Based on the test data of rated power, rated speed, speed corresponding to external characteristic operating conditions, and external characteristic noise, an engine external characteristic noise model is constructed. Based on engine type, engine displacement, parking idle speed, and parking idle noise test data, an engine parking idle noise model is constructed.

3. The engine noise assessment method according to claim 1 or 2, characterized in that, The engine external characteristic noise model is as follows: In the formula: L PL This is the A-weighted sound pressure level guideline under engine external characteristic conditions; P r Rated power; n r Rated speed; n represents the rotational speed corresponding to the external characteristic operating condition; f1(P) r f2(n) r f3(n) and f3(n) are respectively 10lg(P) r ), 10lg(n) r ), 10lg(n); a, b, c, and d are partial coefficients.

4. The engine noise assessment method according to claim 1 or 2, characterized in that, The engine parking idle noise model is as follows: Naturally aspirated engine: Supercharged engine: In the formula: L idle This is the A-weighted sound pressure level guideline under engine idling conditions. D represents the engine displacement; n is the parking idle speed; f1(D) and f2(n) are 10lg(D) and 10lg(n) respectively; a, b, c, d, e, and f are partial coefficients.

5. The engine noise assessment method according to claim 1, characterized in that, The parking idle speed mentioned is the standardized parking idle speed. The standardized parking idle speeds for different types of engines are as follows: 1000 r / min for two-cylinder engines, 900 r / min for three-cylinder engines, 750 r / min for four-cylinder engines, 650 r / min for six-cylinder engines, 600 r / min for eight-cylinder engines, and the actual parking idle speed for hybrid engines.

6. The engine noise assessment method according to claim 1, characterized in that, The determination of engine operating conditions across the entire speed range and engine operating conditions based on external characteristic noise test data and the engine external characteristic noise guidance curve includes: a) Calculate the sound pressure level difference at each speed under the full speed range of the engine's external characteristic operating conditions. : External characteristic operating condition sound pressure level difference =External characteristic noise test data - corresponding value of engine external characteristic noise guide curve; The full speed range is from the engine's lowest stable speed to the rated speed. b) Calculate the engine's full-speed-range operating parameters, specifically the sound pressure level difference under external characteristic conditions. mean : = / n, where n is the number of sound pressure level differences under external characteristic conditions; c) Calculate the engine's single-condition performance index, which is the sound pressure level difference value under external characteristic conditions. maximum value : =MAX( ),in These are the sound pressure level difference values ​​under the external characteristic conditions at the first speed, the sound pressure level difference values ​​under the external characteristic conditions at the second speed, ..., the sound pressure level difference values ​​under the external characteristic conditions at the nth speed.

7. The engine noise assessment method according to claim 1, characterized in that, The step of determining the engine parking idle condition index based on the parking idle noise test data and the engine parking idle noise guide value includes: the engine parking idle condition index is the idle condition sound pressure level difference value. : Sound pressure level difference under idling conditions =Parking idling noise test data - Parking idling noise guide value.

8. The engine noise assessment method according to claim 1, characterized in that, The step of determining the engine noise level assessment library based on the engine full-speed-range operating condition index, the engine single-condition index, and the engine parking idle speed index includes: Calculations are performed on all engines in the engine noise database to obtain three indicators for each engine, forming a three-indicator dataset; the three indicators are the engine full-speed domain operating condition indicator, the engine single operating condition indicator, and the engine parking idle speed operating condition indicator. Each indicator dataset is sorted in ascending order of the indicator, and each individual indicator is divided into three levels, A, B, and C, according to the first a% part, a%-b% part, and b% part after the indicator dataset. The datasets of the three indicators and the three levels of A, B, and C of the three indicators constitute the engine noise level assessment library.

9. The engine noise assessment method according to claim 1, characterized in that, After determining the noise rating of the engine based on the full-speed-range operating condition index, the single-condition index, the parking idle speed index, and the engine noise level assessment library, the following steps are also included: The engine noise data to be evaluated is input into the engine noise database, the engine external characteristic noise model and the engine parking idle noise model are iteratively optimized, and the data sets of the three indicators and the noise level classification standard values ​​of the three indicators in the engine noise level assessment library are updated.

10. An electronic device, characterized in that, include: At least one processor, and a memory communicatively connected to at least one of the processors; The memory stores instructions executable by at least one of the processors, which are executed to enable the at least one processor to perform the method of any one of claims 1-9.

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