CN116341121A - Electric drive system noise optimization method, device, storage medium and equipment - Google Patents
Electric drive system noise optimization method, device, storage medium and equipment Download PDFInfo
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Abstract
The application provides a noise optimization method, a device, a storage medium and equipment of an electric drive system, wherein in the method, a sample set is established based on motor electromagnetic index sequences, gear index sequences, modal index sequences and dynamic stiffness index sequences of a plurality of electric drive systems, noise evaluation values of the motor electromagnetic index sequences, the noise evaluation values under specified working conditions are used for establishing the sample set, a proxy model is generated according to the sample set, further target values of all control sequences are obtained through optimizing, then the target values of the modal index sequences are adjusted based on actual standard reaching rates of the gear index sequences and the motor electromagnetic index sequences, and then the target values of the dynamic stiffness index sequences are adjusted based on the actual standard reaching rates of the modal index sequences. Therefore, in the early intervention of the project, reference is provided for NVH performance development in the design of the electric drive system product, the development cost is effectively reduced, and the NVH performance is improved.
Description
Technical Field
The application relates to the technical field of development of electric drive systems, in particular to a method, a device, a storage medium and equipment for optimizing noise of an electric drive system.
Background
At present, along with popularization of pure electric vehicles, requirements of people on NVH (noise, vibration and harshness) performance of an electric drive system of the vehicle are also higher and higher. NVH performance is a comprehensive index for measuring automobile manufacturing quality and automobile riding comfort. In the related art, in order to optimize NVH performance of an electric drive system, engineers often adopt remedial measures such as adding an acoustic package to improve corresponding noise when detecting that howling noise of the electric drive system does not reach the standard in the later stage of projects. However, this approach is prone to cost waste and has poor remedial effect, resulting in the final design of an electric drive system that does not meet the NVH performance standards.
Disclosure of Invention
The invention aims to provide a method, a device and equipment for optimizing noise of an electric drive system, and aims to solve the problem that cost waste is easy to cause in a development scheme aiming at NVH performance of the electric drive system in the related technology, and finally the designed electric drive system is easy to fail to reach the standard in the aspect of NVH performance.
In a first aspect, the present application provides a method for optimizing noise of an electric drive system, including:
designing samples based on a plurality of electric drive systems, and establishing a sample set; sample points in the sample set are set based on index data of the electric drive system design sample and a noise evaluation value of the electric drive system design sample under a specified working condition; the index data comprises a motor electromagnetic index sequence, a gear index sequence, a modal index sequence and a dynamic stiffness index sequence; generating a proxy model according to the sample set, and acquiring a target value of the index data by utilizing an optimal solution of the proxy model; the agent model fits the corresponding relation between the value of the index data and the noise evaluation value; and adjusting the target value corresponding to the modal index sequence based on the actual standard rate obtained by the motor electromagnetic index sequence and the gear index sequence aiming at the corresponding target value, and adjusting the target value corresponding to the dynamic stiffness index sequence based on the actual standard rate obtained by the modal index sequence aiming at the adjusted target value.
In the implementation process, a sample set is established based on a motor electromagnetic index sequence, a gear index sequence, a modal index sequence and a dynamic stiffness index sequence of a plurality of electric drive systems design samples and noise evaluation values of the motor electromagnetic index sequence, the noise evaluation values under specified working conditions are used for establishing the sample set, a proxy model is generated according to the sample set, then target values of all control sequences are obtained through optimizing, then the target values of the modal index sequence are adjusted based on the actual standard reaching rate of the gear index sequence and the motor electromagnetic index sequence, and then the target values of the dynamic stiffness index sequence are adjusted based on the actual standard reaching rate of the modal index sequence. Therefore, in the early intervention of the project, reference is provided for NVH performance development in the design of the electric drive system product, the development cost is effectively reduced, and the NVH performance is improved.
Further, in some embodiments, the motor electromagnetic index sequence includes 24 th order torque ripple, 48 th order torque ripple, 96 th order torque ripple, 144 th order torque ripple, 48 th order radial electromagnetic force; the gear index sequence comprises a primary gear transmission error, a secondary gear transmission error, a gear end face overlap ratio, an axial overlap ratio and a total overlap ratio; the modal index sequence comprises an electric drive assembly mode, a cover plate thin-wall part mode and a suspension bracket mode; the dynamic stiffness index sequence comprises equivalent dynamic stiffness of the electric drive shell bearing seat, equivalent dynamic stiffness of the thin-wall piece, equivalent dynamic stiffness of the suspension bracket, minimum dynamic stiffness of the electric drive shell bearing seat, minimum dynamic stiffness of the thin-wall piece and minimum dynamic stiffness of the suspension bracket.
In the implementation process, the types of specific performance control indexes covered by four control sequences are limited, 19 indexes are determined as development indexes, and the design scheme of the electric drive system product with balanced multiple performances such as cost, efficiency, NVH performance and the like can be reasonably manufactured.
Further, in some embodiments, the noise evaluation value is determined based on noise subjective evaluation scores or noise sound pressure level data of the electric drive system design samples under 30%, 50% and 100% accelerator opening conditions, respectively.
In the implementation process, a specific way of obtaining the noise evaluation value capable of representing the NVH performance of each electric drive system design sample is provided.
Further, in some embodiments, the generating a proxy model from the sample set includes: processing the sample points by adopting an optimal Latin hypercube experimental design method to obtain sample data; and performing data fitting on the sample data based on a response surface method to obtain an approximate function relation between the value of the index data and the noise evaluation value, and establishing a proxy model based on the approximate function relation.
In the implementation process, the proxy model is established by carrying out test design and data fitting on the sample set, so that the proxy model can more accurately reflect the functional relation between the NVH performance development independent variable index and the dependent variable response of the electric drive system, and the NVH performance development control index of the electric drive system can be rapidly optimized.
Further, in some embodiments, the actual achievement rate obtained by the motor electromagnetic index sequence for the corresponding target value is a first achievement rate; the actual standard reaching rate obtained by the gear index sequence aiming at the corresponding target value is the second standard reaching rate; the adjusting the target value corresponding to the modal index sequence based on the actual standard reaching rate obtained by the motor electromagnetic index sequence and the gear index sequence aiming at the corresponding target value comprises the following steps: if at least one of the first achievement rate and the second achievement rate is lower than a preset threshold value, determining an increment of a target value corresponding to the modal index sequence based on a difference between the first achievement rate and the target achievement rate and a difference between the second achievement rate and the target achievement rate.
In the implementation process, when the actual standard reaching rate of the motor electromagnetic index sequence and the gear index sequence is not the standard reaching rate, the deviation amount of the motor electromagnetic index sequence and the gear index sequence is transferred to the modal index sequence according to the convolution iteration method so as to improve the overall standard reaching rate of the NVH target of the electric drive product.
Further, in some embodiments, the actual achievement rate of the modal index sequence for the adjusted target value is a third achievement rate; the adjusting the target value corresponding to the dynamic stiffness index sequence based on the actual standard reaching rate obtained by the modal index sequence aiming at the adjusted target value comprises the following steps: and if the third standard reaching rate is lower than the preset threshold, determining the increment of the target value corresponding to the dynamic stiffness index sequence based on the difference value between the third standard reaching rate and the target standard reaching rate.
In the implementation process, when the actual standard reaching rate of the modal index sequence is lower than a preset threshold value, the deviation amount of the modal index sequence is transferred to the dynamic stiffness index sequence according to a convolution iteration method so as to improve the NVH target overall standard reaching rate of the electric drive product.
Further, in some embodiments, the method further comprises: generating design data of the electric drive system based on the target value of the index data; inputting the design data into a simulation model to obtain NVH performance index results; and if the NVH performance index result shows that the NVH performance index result does not reach the standard, performing optimization iteration on the design data.
In the implementation process, the NVH performance index result of the design data is obtained in a simulation analysis mode, and if the NVH performance index result is not up to the standard, optimization iteration is performed on the design data, so that over-design and under-design are avoided.
In a second aspect, the present application provides an electric drive system noise optimization device, including: the establishing module is used for designing samples based on a plurality of electric drive systems and establishing a sample set; sample points in the sample set are set based on index data of the electric drive system design sample and a noise evaluation value of the electric drive system design sample under a specified working condition; the index data comprises a motor electromagnetic index sequence, a gear index sequence, a modal index sequence and a dynamic stiffness index sequence; the acquisition module is used for generating a proxy model according to the sample set and acquiring a target value of the index data by utilizing an optimal solution of the proxy model; the agent model fits the corresponding relation between the value of the index data and the noise evaluation value; the adjusting module is used for adjusting the target value corresponding to the modal index sequence based on the actual standard reaching rate obtained by the motor electromagnetic index sequence and the gear index sequence aiming at the corresponding target value, and adjusting the target value corresponding to the dynamic stiffness index sequence based on the actual standard reaching rate obtained by the modal index sequence aiming at the adjusted target value.
In a third aspect, the present application provides an electronic device, including: a memory, a processor and a computer program stored in the memory and executable on the processor, the processor implementing the steps of the method according to any one of the first aspects when the computer program is executed.
In a fourth aspect, the present application provides a computer readable storage medium having instructions stored thereon, which when run on a computer, cause the computer to perform the method according to any of the first aspects.
In a fifth aspect, the present application provides a computer program product which, when run on a computer, causes the computer to perform the method according to any one of the first aspects.
Additional features and advantages of the disclosure will be set forth in the description which follows, or in part will be obvious from the description, or may be learned by practice of the techniques disclosed herein.
In order to make the above objects, features and advantages of the present application more comprehensible, preferred embodiments accompanied with figures are described in detail below.
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In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the embodiments of the present application will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and should not be considered as limiting the scope, and other related drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a flowchart of a method for optimizing noise of an electric drive system according to an embodiment of the present application;
FIG. 2 is a schematic diagram of a workflow of a development scheme for NVH performance of a platform-based electrical drive system provided in an embodiment of the present application;
FIG. 3 is a schematic diagram of specific performance control indicators covered by four control sequences provided in an embodiment of the present application;
fig. 4 is a block diagram of an electric drive system noise optimization device according to an embodiment of the present application;
fig. 5 is a block diagram of an electronic device according to an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be described below with reference to the drawings in the embodiments of the present application.
It should be noted that: like reference numerals and letters denote like items in the following figures, and thus once an item is defined in one figure, no further definition or explanation thereof is necessary in the following figures. Meanwhile, in the description of the present application, the terms "first", "second", and the like are used only to distinguish the description, and are not to be construed as indicating or implying relative importance.
As described in the background art, the development scheme aiming at the NVH performance of the electric drive system in the related art has the problems that the cost waste is easy to be caused, and the finally designed electric drive system is easy to not reach the standard in the aspect of the NVH performance. Based on this, the embodiment of the application provides an electric drive system noise optimization scheme to solve the above problems.
The embodiments of the present application are described below:
as shown in fig. 1, fig. 1 is a flowchart of a method for optimizing noise of an electric drive system according to an embodiment of the present application, where the method is involved in design of the electric drive system during the current period of development of the electric drive system. The electric drive system can be an electric drive system of a pure electric vehicle. The method can be applied to a server or a terminal.
The method comprises the following steps:
in step 101, designing samples based on a plurality of electric drive systems, and establishing a sample set; sample points in the sample set are set based on index data of the electric drive system design sample and a noise evaluation value of the electric drive system design sample under a specified working condition; the index data comprises a motor electromagnetic index sequence, a gear index sequence, a modal index sequence and a dynamic stiffness index sequence;
the electrical driving system design samples mentioned in the step can be electrical driving system products designed in the past projects, different samples can correspond to different electrical driving system design schemes, and the samples can be obtained from historical data of a project development platform. The index data mentioned in the step is a plurality of development indexes determined according to influence factors of NVH performance development design of the electric drive system. The NVH performance of the electric drive system is mainly characterized by motor electromagnetic squeal and gear squeal, and is divided into two excitation sources of source excitation and path excitation, wherein electromagnetic torque fluctuation and electromagnetic force are source excitation of electromagnetic squeal, gear transmission errors and contact ratio are source excitation of gear squeal, and the modes and dynamic stiffness of the electric drive shell and suspension are path excitation.
In some embodiments, the motor electromagnetic index sequence includes 24 th order torque ripple, 48 th order torque ripple, 96 th order torque ripple, 144 th order torque ripple, 48 th order radial electromagnetic force; the gear index sequence comprises a primary gear transmission error, a secondary gear transmission error, a gear end face overlap ratio, an axial overlap ratio and a total overlap ratio; the modal index sequence comprises an electric drive assembly mode, a cover plate thin-wall part mode and a suspension bracket mode; the dynamic stiffness index sequence comprises equivalent dynamic stiffness of the electric drive shell bearing seat, equivalent dynamic stiffness of the thin-wall piece, equivalent dynamic stiffness of the suspension bracket, minimum dynamic stiffness of the electric drive shell bearing seat, minimum dynamic stiffness of the thin-wall piece and minimum dynamic stiffness of the suspension bracket. Experiments show that the 19 indexes are determined as development indexes, so that the design scheme of the electric drive system product with balanced multiple performances such as cost, efficiency and NVH performance can be reasonably manufactured.
The noise evaluation values referred to in this step may be data characterizing NVH performance of the corresponding electro-drive system design samples, and in some embodiments, may be determined based on noise subjective evaluation scores or noise sound pressure level data of the electro-drive system design samples at 30%, 50% and 100% throttle opening conditions, respectively. The noise boosting data mainly comprises noise data obtained by adopting a class A weighting mode under the rotating speed section corresponding to the motor order and the gear order. When the method is realized, motor squeal and gear squeal of each electric drive system design sample are respectively scored according to industry standard specifications at the comprehensive noise levels under the working conditions of 30%, 50% and 100% of accelerator opening, or after corresponding noise data are acquired through equipment such as a noise detector, the noise data are converted by utilizing a sound pressure level calculation formula, so that noise evaluation values capable of representing NVH performance of each electric drive system design sample are obtained.
102, generating a proxy model according to the sample set, and acquiring a target value of the index data by utilizing an optimal solution of the proxy model; the agent model fits the corresponding relation between the value of the index data and the noise evaluation value;
the problem of NVH performance design of the electric drive system is a nonlinear coupling problem, and a direct physical model is difficult to establish, so in the scheme of the embodiment, aiming at a sample set, index data is used as an independent variable, a noise evaluation value is used as a dependent variable, and a proxy model is established by fitting the sample set, so that a global optimal solution of an optimization target can be found in a short time, and the quick optimization of NVH performance development control indexes of the electric drive system is realized.
In some embodiments, generating the proxy model from the sample set as referred to in this step may include: processing the sample points by adopting an optimal Latin hypercube experimental design method to obtain sample data; and performing data fitting on the sample data based on a response surface method to obtain an approximate function relation between the value of the index data and the noise evaluation value, and establishing a proxy model based on the approximate function relation. The optimal Latin hypercube experimental design method is a random experimental design method with full space filling and non-overlapping, factors are horizontally and vertically arranged into a random matrix, namely, the Latin hypercube matrix, the level of any factor in the same row or the same column is not repeated, the sampling points are ensured to be uniform in the whole world, in the scheme of the embodiment, the optimal Latin hypercube experimental design method is adopted to select the sampling points, so that the distribution of target sample points in sample data is more uniform, and the relationship between the factors and responses is more accurately and truly reflected by the subsequent fitting; the response surface method is a statistical method for solving the problem of multiple variables by adopting a multiple quadratic regression equation to fit a functional relation between factors and response values and searching for optimal technological parameters through analysis of the regression equation, and optionally, the response surface method can be a response surface method based on an orthogonal base neural network, namely, a weighted sum can be used as nonlinear output of the neural network, and an input-output relation in sample data is fitted by adopting a single-output orthogonal base neural network model, so that a proxy model is established, and the proxy model is more accurately close to a real functional function, thereby realizing rapid optimization of NVH performance development control indexes of an electric drive system.
The sample data may include sample points in the original data set, or may include new sample points obtained through a test design, where the sample points are selected based on a constraint range corresponding to each index data during the test design, for example, if the constraint range of the electric drive assembly mode may be 300Hz to 1000Hz, the value of the index corresponding to the electric drive assembly mode in the sample points obtained through the test design is also in the constraint range, such as 400Hz, 500Hz, and the like. In other embodiments, the sample data may be obtained by other means, such as center-combined design, effect-plane method, etc.; the proxy model may be generated by fitting data based on a genetic algorithm, a monte carlo method, or the like, and the present application is not limited thereto. Also, after the proxy model is generated, it may be detected whether the proxy model satisfies a preset accuracy condition; if not, the number of sample points is increased, so that the data volume for generating the proxy model is increased, and the proxy model is regenerated, and therefore the accuracy of the proxy model can be improved.
After the agent model is generated, an optimal solution of the agent model can be calculated, so that a target value of index data, namely, a design parameter value of each index when the NVH performance of the electric drive system is optimal, is obtained. In this embodiment, the proxy model may be considered as a fitting function, when the noise evaluation value is a subjective evaluation of noise, a feasible solution that maximizes the fitting function is determined as an optimal solution, when the noise evaluation value is noise sound pressure level data, a feasible solution that minimizes the fitting function is determined as an optimal solution, and an electric drive system designed based on a target value determined by the optimal solution, which minimizes noise generated under a specified working condition, has the best NVH performance. It should be noted that, the optimal solutions of the proxy model may have one group or may have multiple groups, and when the optimal solutions have multiple groups, the target value of the index data may be determined based on the average value of the multiple groups of optimal solutions, or may be the value of one group of optimal solutions, which may be set according to the requirement of the actual scene, which is not limited in this application.
In step 103, the target value corresponding to the modal index sequence is adjusted based on the actual standard reaching rate obtained by the motor electromagnetic index sequence and the gear index sequence according to the corresponding target value, and then the target value corresponding to the dynamic stiffness index sequence is adjusted based on the actual standard reaching rate obtained by the modal index sequence according to the adjusted target value.
In this embodiment, the target value of the index data may be a task target referred to during design of the power drive product, and in consideration of a certain deviation between the task target and the actual completion limit in practical application, therefore, according to an association relationship between products such as motor electromagnetism, gears, electric drive shells and suspensions, the motor electromagnetism product design scheme and the gear product design scheme are preferentially developed based on target values of motor electromagnetism index sequences and gear index sequences, the actual standard reaching rate obtained by the two control sequences for the respective corresponding target values is obtained by a simulation analysis and the like, so as to adjust the target values corresponding to the modal index sequences, then the electric drive system shell and suspension product design scheme are developed based on the target values adjusted by the modal index sequences, and the actual standard reaching rate of the modal index sequences is obtained, so as to adjust the target values corresponding to the dynamic stiffness index sequences, and finally the optimal iterative design of the electric drive system shell and suspension products is developed based on the target values adjusted by the dynamic stiffness index sequences. Therefore, the NVH target overall standard reaching rate of the electric drive product is effectively improved, and the finally designed electric drive system has NVH performance which fully meets service requirements.
In some embodiments, determining the actual achievement rate of the motor electromagnetic index sequence for the corresponding target value as the first achievement rate and the actual achievement rate of the gear index sequence for the corresponding target value as the second achievement rate, adjusting the target value corresponding to the modal index sequence based on the actual achievement rate of the motor electromagnetic index sequence and the gear index sequence for the corresponding target value mentioned in the step may include: if at least one of the first achievement rate and the second achievement rate is lower than a preset threshold value, determining an increment of a target value corresponding to the modal index sequence based on a difference between the first achievement rate and the target achievement rate and a difference between the second achievement rate and the target achievement rate. That is, when the actual standard reaching rate of the motor electromagnetic index sequence and the gear index sequence is not up to the standard, the deviation amount is transferred to the modal index sequence according to the convolution iteration method so as to improve the overall NVH target standard reaching rate of the electric drive product. Alternatively, the target value corresponding to the modal index sequence may be determined based on the following formula:
wherein the said 
The target value is the adjusted target value corresponding to the modal index sequence; said->
Is saidThe target value originally corresponding to the modal index sequence; said->
The actual standard reaching rate is obtained for the electromagnetic index sequence of the motor aiming at the corresponding target value; said->
And obtaining the actual standard reaching rate for the gear index sequence aiming at the corresponding target value. By the formula, the target value corresponding to the model index sequence can be quickly adjusted.
Accordingly, in some embodiments, the actual achievement rate obtained by the target value after the adjustment of the modal index sequence is determined as the third achievement rate, and adjusting the target value corresponding to the dynamic stiffness index sequence based on the actual achievement rate obtained by the modal index sequence for the adjusted target value in this step may include: and if the third standard reaching rate is lower than the preset threshold, determining the increment of the target value corresponding to the dynamic stiffness index sequence based on the difference value between the third standard reaching rate and the target standard reaching rate. That is, when the actual standard reaching rate of the modal index sequence is lower than a preset threshold, the deviation amount is transferred to the dynamic stiffness index sequence according to a convolution iteration method so as to improve the overall standard reaching rate of the NVH target of the electric drive product. Alternatively, the target value corresponding to the dynamic stiffness index sequence may be determined based on the following formula:
Wherein the said
The target value after the adjustment corresponding to the dynamic stiffness index sequence is obtained; said->
The target value originally corresponding to the dynamic stiffness index sequence is obtained; said->
And obtaining the actual standard reaching rate for the mode index sequence aiming at the adjusted target value. Through the formula, the target value corresponding to the dynamic stiffness index sequence can be quickly adjusted. It should be noted that the aforementioned preset threshold may be 100%, or may be set differently according to the requirements of different scenes, which is not limited in this application.
Also, in some embodiments, the above method may further comprise: generating design data of the electric drive system based on the target value of the index data; inputting the design data into a simulation model to obtain NVH performance index results; and if the NVH performance index result shows that the NVH performance index result does not reach the standard, performing optimization iteration on the design data. That is, after determining the target value of the index data, design data of the electric drive system, that is, design schemes for relevant parameters of motor electromagnetism, gears, electric drive shells, suspensions and the like in the electric drive system, such as stator tooth slot width, rotor tooth slot depth, tooth pitch and the like, may be formed based on the target value; and finally, obtaining NVH performance index results of the corresponding electric drive product through simulation analysis and calculation, outputting the design data to a manufacturing department for manufacturing an electric drive product sample if the NVH performance index results are up to the standard, and carrying out optimization iteration on the design data if the NVH performance index results are not up to the standard so as to avoid over-design and under-design.
According to the embodiment of the application, a sample set is established based on a motor electromagnetic index sequence, a gear index sequence, a modal index sequence and a dynamic stiffness index sequence of a plurality of electric drive systems design samples and noise evaluation values of the motor electromagnetic index sequence, the noise evaluation values under specified working conditions are used for establishing the sample set, a proxy model is generated according to the sample set, then target values of all control sequences are obtained through optimizing, then the target values of the modal index sequence are adjusted based on the actual standard reaching rate of the gear index sequence and the motor electromagnetic index sequence, and then the target values of the dynamic stiffness index sequence are adjusted based on the actual standard reaching rate of the modal index sequence. Therefore, in the early intervention of the project, reference is provided for NVH performance development in the design of the electric drive system product, the development cost is effectively reduced, and the NVH performance is improved.
For a more detailed description of the solution of the present application, a specific embodiment is described below:
the embodiment relates to an NVH performance development scene of an electric drive system, in the related technology, a set of platform development system cannot be formed in the early stage of projects, various performance index controls of different projects NVH and design targets thereof are uneven, the balance of multiple performances such as cost, efficiency and NVH cannot be considered by setting target vehicle data, later remedial measures such as harmonic injection and acoustic package are often adopted, cost waste is caused, NVH problems of the electric drive system are frequently caused, and the NVH performance of the designed electric drive system does not reach the standard. Based on this, the present embodiment provides a solution for developing NVH performance of a platform-type electric drive system to solve the above-mentioned problems.
The workflow of this scheme is shown in fig. 2, comprising:
s201, determining performance development indexes according to NVH performance development design influence factors of an electric drive system;
specifically, four control sequences are set in the scheme, namely a motor electromagnetic NVH performance development sequence (hereinafter referred to as sequence T), a gear NVH performance development sequence (hereinafter referred to as sequence C), a shell and suspension modal NVH performance development sequence (hereinafter referred to as sequence M) and a shell and suspension dynamic stiffness NVH performance development sequence (hereinafter referred to as sequence K);
wherein, the specific performance control indexes covered by the four control sequences are shown in fig. 3; taking the sequence T as an example, the specific performance control indexes covered by the sequence T are as follows: 24-order torque ripple, 48-order torque ripple, 96-order torque ripple, 144-order torque ripple, 48-order radial electromagnetic force;
s202, establishing a platform-based NVH performance development independent variable index and a noise control dependent variable index sample data set of the electric drive system;
specifically, based on N electric drive system design scheme samples under a target platform, 19 index data sets included in four control sequences are established, wherein N is more than or equal to 20; and establishing an NVH performance development noise control index of the electric drive system, namely an objective function Y, wherein the objective function Y represents noise sound pressure level data under a certain specific working condition of the NVH performance of the electric drive system after the scheme of the electric drive system is designed. Based on the above data, a dataset is created, wherein the jth test design sample may be represented as:
Wherein the method comprises
A j-th design independent variable sample; this->
Noise sound pressure level data for the j-th design argument sample;
s203, performing test design of NVH performance indexes by adopting an optimal Latin hypercube test design method to obtain corresponding sample data;
s204, based on sample data, establishing a proxy model by using an orthogonal basis neural network response surface fitting method, and obtaining an optimal combination of NVH performance index setting based on an optimal solution of the proxy model;
specifically, the scheme uses weighted sum as nonlinear output of the neural network, and adopts a single-output orthogonal basis neural network model fitting method to build a proxy model. When implemented, the mathematical model of the orthonormal neural network is:
wherein, the liquid crystal display device comprises a liquid crystal display device,
is an input to an orthogonal base neural network; />
Is the output of the orthogonal base neural network; />
Is a connection weight; />
To activate a function is a set of orthogonal basis functions. In the present embodimentCorrecting and calculating the weight of the neural network by adopting a gradient descent method, stopping training the neural network when the total error of the neural network reaches the error precision, and finishing establishment of the orthogonal basis neural network by determining the weight;
solving an optimal solution of the proxy model, and acquiring target values of 19 specific performance control indexes based on the optimal solution;
S205, carrying out product design and simulation calculation based on target values of indexes of the sequence T and the sequence C, analyzing target achievement rates of the indexes of the sequence T and the sequence C, judging whether unqualified items exist, executing S206 if the unqualified items exist, otherwise executing S207;
specifically, the design scheme of the electromagnetic product and the design scheme of the gear product of the motor of the electric drive system corresponding to the platform are preferentially developed based on the obtained target value, the actual value of each index of the sequence T and the sequence C in the developed design scheme is determined through a simulation analysis mode, the target achievement rate of each index is determined by utilizing the ratio between the actual value and the target value, and the minimum target achievement rate in the control sequence is used as the target achievement rate of the control sequence; if all indexes of the sequence T and the sequence C reach the target, the target standard reaching rate of the sequence T and the sequence C is 100%;
s206, revising a target value of the sequence M based on the target achievement rates of the sequence T and the sequence C;
specifically, if the sequence T and the sequence C have the unqualified items, revising and updating target values of various indexes of the sequence M by using a convolution iteration method on the basis of the original target setting of the sequence M; the revision policy is:
wherein->
A target value after revising the index of the sequence M; / >
The target value originally corresponding to the index is obtained; />
Target for sequence TThe achievement rate; />
Target achievement rate for sequence C;
s207, carrying out product design and simulation calculation based on target values of all indexes of the sequence M, analyzing target achievement rates of all indexes of the sequence M, judging whether substandard items exist, if yes, executing S208, otherwise, executing S209;
specifically, developing product design schemes of an electric drive system shell (comprising a thin-wall piece, a bearing seat, a suspension and the like) under the platform based on original or revised target values, determining actual values of various indexes of a sequence M in the developed design schemes in a simulation analysis mode, further obtaining target achievement rates of various indexes of the sequence M, and likewise determining the minimum target achievement rate as the target achievement rate of the sequence M;
s208, revising a target value of the sequence K based on the target achievement rate of the sequence M;
specifically, if the sequence M has a non-standard item, revising and updating target values of various indexes of the sequence K by using a convolution iteration method on the basis of the original target setting of the sequence K; the revision policy is:
wherein->
A target value after revising the index of the sequence K; />
The target value originally corresponding to the index is obtained; / >
Target achievement rate for sequence M;
s209, obtaining a design scheme of the whole electric drive system based on target values of various indexes of the sequence K and the product design result;
specifically, carrying out optimization iterative design of an electric drive system shell and a suspension product based on target values of various indexes of the sequence K, and finally obtaining product design schemes of the whole electric drive system, including motor electromagnetism, gears, the electric drive shell, the suspension and the like; then, analyzing the NVH target overall standard-reaching rate of the electric drive product corresponding to the design scheme of the overall electric drive system, judging whether the NVH target overall standard-reaching rate is more than or equal to 90 percent, and if the NVH target overall standard-reaching rate is not less than 90 percent, carrying out iterative optimization design on the overall product;
s210, manufacturing an electric drive product sample, carrying out NVH tests on a bench and a whole vehicle, verifying each NVH operation condition, and carrying out optimization iteration work aiming at a problem point.
The scheme of the embodiment intervenes in the early stage of the project, combines the commodity index of the vehicle type project according to the accurate positioning of the platform vehicle type, and establishes a set of reasonable NVH performance development strategy of the electric drive system, so that the scheme design of the electric drive system is pointed out, the development cost is effectively reduced, and the NVH performance of the electric drive system is improved.
Corresponding to the embodiment of the foregoing method, the present application further provides an embodiment of an electric drive system noise optimization device and a terminal to which the same is applied:
As shown in fig. 4, fig. 4 is a block diagram of an electric drive system noise optimization device according to an embodiment of the present application, where the device includes:
a building module 41, configured to build a sample set based on a plurality of design samples of the electric drive system; sample points in the sample set are set based on index data of the electric drive system design sample and a noise evaluation value of the electric drive system design sample under a specified working condition; the index data comprises a motor electromagnetic index sequence, a gear index sequence, a modal index sequence and a dynamic stiffness index sequence;
an obtaining module 42, configured to generate a proxy model according to the sample set, and obtain a target value of the index data by using an optimal solution of the proxy model; the agent model fits the corresponding relation between the value of the index data and the noise evaluation value;
the adjustment module 43 is configured to adjust the target value corresponding to the modal index sequence based on the actual standard reaching rate obtained by the motor electromagnetic index sequence and the gear index sequence for the corresponding target value, and adjust the target value corresponding to the dynamic stiffness index sequence based on the actual standard reaching rate obtained by the modal index sequence for the adjusted target value.
The implementation process of the functions and roles of each module in the above device is specifically shown in the implementation process of the corresponding steps in the above method, and will not be described herein again.
The application further provides an electronic device, please refer to fig. 5, and fig. 5 is a block diagram of an electronic device according to an embodiment of the application. The electronic device may include a processor 510, a communication interface 520, a memory 530, and at least one communication bus 540. Wherein the communication bus 540 is used to enable direct connection communication for these components. The communication interface 520 of the electronic device in the embodiment of the present application is used for performing signaling or data communication with other node devices. Processor 510 may be an integrated circuit chip with signal processing capabilities.
The processor 510 may be a general-purpose processor, including a central processing unit (CPU, centralProcessingUnit), a network processor (NP, networkProcessor), etc.; but may also be a Digital Signal Processor (DSP), application Specific Integrated Circuit (ASIC), an off-the-shelf programmable gate array (FPGA) or other programmable logic device, discrete gate or transistor logic device, discrete hardware components. The disclosed methods, steps, and logic blocks in the embodiments of the present application may be implemented or performed. A general purpose processor may be a microprocessor or the processor 510 may be any conventional processor or the like.
The Memory 530 may be, but is not limited to, random access Memory (RAM, randomAccessMemory), read Only Memory (ROM), programmable Read Only Memory (PROM, programmable Read-Only Memory), erasable Read Only Memory (EPROM, erasable Programmable Read-Only Memory), electrically erasable Read Only Memory (EEPROM, electric Erasable Programmable Read-Only Memory), and the like. The memory 530 has stored therein computer readable instructions which, when executed by the processor 510, may cause an electronic device to perform the steps described above in relation to the method embodiment of fig. 1.
Optionally, the electronic device may further include a storage controller, an input-output unit.
The memory 530, the memory controller, the processor 510, the peripheral interface, and the input/output unit are electrically connected directly or indirectly to each other, so as to realize data transmission or interaction. For example, the elements may be electrically coupled to each other via one or more communication buses 540. The processor 510 is configured to execute executable modules stored in the memory 530, such as software functional modules or computer programs included in the electronic device.
The input-output unit is used for providing the user with the creation task and creating the starting selectable period or the preset execution time for the task so as to realize the interaction between the user and the server. The input/output unit may be, but is not limited to, a mouse, a keyboard, and the like.
It will be appreciated that the configuration shown in fig. 5 is merely illustrative, and that the electronic device may also include more or fewer components than shown in fig. 5, or have a different configuration than shown in fig. 5. The components shown in fig. 5 may be implemented in hardware, software, or a combination thereof.
The embodiment of the application further provides a storage medium, where instructions are stored, and when the instructions run on a computer, the computer program is executed by a processor to implement the method described in the method embodiment, so that repetition is avoided, and no further description is given here.
The present application also provides a computer program product which, when run on a computer, causes the computer to perform the method of the method embodiments.
In the several embodiments provided in this application, it should be understood that the disclosed apparatus and method may be implemented in other manners as well. The apparatus embodiments described above are merely illustrative, for example, flow diagrams and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
In addition, the functional modules in the embodiments of the present application may be integrated together to form a single part, or each module may exist alone, or two or more modules may be integrated to form a single part.
The functions, if implemented in the form of software functional modules and sold or used as a stand-alone product, may be stored in a computer-readable storage medium. Based on such understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution, in the form of a software product stored in a storage medium, including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
The foregoing is merely exemplary embodiments of the present application and is not intended to limit the scope of the present application, and various modifications and variations may be suggested to one skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principles of the present application should be included in the protection scope of the present application. It should be noted that: like reference numerals and letters denote like items in the following figures, and thus once an item is defined in one figure, no further definition or explanation thereof is necessary in the following figures.
The foregoing is merely specific embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily think about changes or substitutions within the technical scope of the present application, and the changes and substitutions are intended to be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
It is noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
Claims (10)
1. A method for optimizing noise of an electric drive system, comprising:
designing samples based on a plurality of electric drive systems, and establishing a sample set; sample points in the sample set are set based on index data of the electric drive system design sample and a noise evaluation value of the electric drive system design sample under a specified working condition; the index data comprises a motor electromagnetic index sequence, a gear index sequence, a modal index sequence and a dynamic stiffness index sequence;
generating a proxy model according to the sample set, and acquiring a target value of the index data by utilizing an optimal solution of the proxy model; the agent model fits the corresponding relation between the value of the index data and the noise evaluation value;
and adjusting the target value corresponding to the modal index sequence based on the actual standard rate obtained by the motor electromagnetic index sequence and the gear index sequence aiming at the corresponding target value, and adjusting the target value corresponding to the dynamic stiffness index sequence based on the actual standard rate obtained by the modal index sequence aiming at the adjusted target value.
2. The method of claim 1, wherein the motor electromagnetic index sequence comprises 24 th order torque ripple, 48 th order torque ripple, 96 th order torque ripple, 144 th order torque ripple, 48 th order radial electromagnetic force;
The gear index sequence comprises a primary gear transmission error, a secondary gear transmission error, a gear end face overlap ratio, an axial overlap ratio and a total overlap ratio;
the modal index sequence comprises an electric drive assembly mode, a cover plate thin-wall part mode and a suspension bracket mode;
the dynamic stiffness index sequence comprises equivalent dynamic stiffness of the electric drive shell bearing seat, equivalent dynamic stiffness of the thin-wall piece, equivalent dynamic stiffness of the suspension bracket, minimum dynamic stiffness of the electric drive shell bearing seat, minimum dynamic stiffness of the thin-wall piece and minimum dynamic stiffness of the suspension bracket.
3. The method of claim 1, wherein the noise evaluation value is determined based on noise subjective evaluation scores or noise sound pressure level data of the electric drive system design samples at 30%, 50% and 100% accelerator opening conditions, respectively.
4. The method of claim 1, wherein the generating a proxy model from the sample set comprises:
processing the sample points by adopting an optimal Latin hypercube experimental design method to obtain sample data;
and performing data fitting on the sample data based on a response surface method to obtain an approximate function relation between the value of the index data and the noise evaluation value, and establishing a proxy model based on the approximate function relation.
5. The method according to claim 1, wherein the actual achievement rate of the motor electromagnetic index sequence for the corresponding target value is a first achievement rate; the actual standard reaching rate obtained by the gear index sequence aiming at the corresponding target value is the second standard reaching rate; the adjusting the target value corresponding to the modal index sequence based on the actual standard reaching rate obtained by the motor electromagnetic index sequence and the gear index sequence aiming at the corresponding target value comprises the following steps:
if at least one of the first achievement rate and the second achievement rate is lower than a preset threshold value, determining an increment of a target value corresponding to the modal index sequence based on a difference between the first achievement rate and the target achievement rate and a difference between the second achievement rate and the target achievement rate.
6. The method according to claim 5, wherein the actual achievement rate obtained by the modal index sequence for the adjusted target value is a third achievement rate; the adjusting the target value corresponding to the dynamic stiffness index sequence based on the actual standard reaching rate obtained by the modal index sequence aiming at the adjusted target value comprises the following steps:
and if the third standard reaching rate is lower than the preset threshold, determining the increment of the target value corresponding to the dynamic stiffness index sequence based on the difference value between the third standard reaching rate and the target standard reaching rate.
7. The method according to claim 1, wherein the method further comprises:
generating design data of the electric drive system based on the target value of the index data;
inputting the design data into a simulation model to obtain NVH performance index results;
and if the NVH performance index result shows that the NVH performance index result does not reach the standard, performing optimization iteration on the design data.
8. An electric drive system noise optimization device, characterized by comprising:
the establishing module is used for designing samples based on a plurality of electric drive systems and establishing a sample set; sample points in the sample set are set based on index data of the electric drive system design sample and a noise evaluation value of the electric drive system design sample under a specified working condition; the index data comprises a motor electromagnetic index sequence, a gear index sequence, a modal index sequence and a dynamic stiffness index sequence;
the acquisition module is used for generating a proxy model according to the sample set and acquiring a target value of the index data by utilizing an optimal solution of the proxy model; the agent model fits the corresponding relation between the value of the index data and the noise evaluation value;
the adjusting module is used for adjusting the target value corresponding to the modal index sequence based on the actual standard reaching rate obtained by the motor electromagnetic index sequence and the gear index sequence aiming at the corresponding target value, and adjusting the target value corresponding to the dynamic stiffness index sequence based on the actual standard reaching rate obtained by the modal index sequence aiming at the adjusted target value.
9. A computer readable storage medium, characterized in that a computer program is stored thereon, which computer program, when being executed by a processor, implements the method according to any of claims 1 to 7.
10. An electronic device comprising a processor, a memory and a computer program stored on the memory and executable on the processor, wherein the processor implements the method of any one of claims 1 to 7 when the computer program is executed by the processor.
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