CN114115200A - NVH (noise, vibration and harshness) testing system and NVH testing method for electric automobile electric drive assembly - Google Patents
NVH (noise, vibration and harshness) testing system and NVH testing method for electric automobile electric drive assembly Download PDFInfo
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Abstract
The invention discloses an NVH (noise, vibration and harshness) test system and a test method for an electric automobile electric drive assembly, wherein the test system comprises an NVH test bed, a driving simulation system and an NVH data processing module, the NVH test bed is used for mounting the electric drive assembly and a load dynamometer, the driving simulation system comprises a driving control module and an HIL (high-level intelligence) system for simulating a longitudinal dynamic model of a whole automobile, and the driving control module comprises a brake pedal, an accelerator pedal and a steering wheel; the HIL system is used for receiving control signals of the brake pedal, the accelerator pedal and the steering wheel, controlling the rotating speed and the torque of the electric drive assembly according to a test working condition, and inputting a finished automobile load parameter signal obtained through simulation calculation into a load dynamometer to load the electric drive assembly; the NVH data processing module is used for collecting and processing NVH data signals. The NVH test system and the test method have the advantages that the NVH test can be performed on the electric drive assembly through the simulation driving simulation whole vehicle power system, the research and development period is favorably shortened, the development cost is reduced, and the like.
Description
Technical Field
The invention relates to the technical field of NVH (noise, vibration and harshness) testing of electric automobile electric drive assemblies, in particular to a NVH testing system and a testing method of an electric automobile electric drive assembly.
Background
In recent years, with the increasing prominence of energy and environmental problems, automobiles using gasoline and diesel oil as energy sources are limited and impacted to a certain extent, and electric automobiles can meet double requirements of energy sources and environmental protection, so that electric automobiles with various purposes are produced and become the most ideal and most promising green vehicles for replacing fuel automobiles. The electric drive assembly serves as one of the core components of the electric automobile, the electric automobile plays a role in driving the automobile to move forward and recovering brake energy, and the electric drive assembly serves as the only driving force source of the automobile on the pure electric automobile and the fuel cell automobile, so that all driving force for the automobile to run is provided, and the running power performance, the smoothness and other performances of the automobile are guaranteed.
With the development of science and technology and economy, people are more and more aware of the comfort level problem of automobiles, and the NVH performance of automobiles becomes a concern of people. In the development of the whole automobile, about 20% of expenses are invested in NVH, and about one third of failures and complaints of the automobile are related to the NVH performance of the automobile, wherein the NVH of the electric drive assembly is a very important part of the NVH performance of the whole automobile of the electric automobile. However, in the existing NVH testing technology, in the process of testing the NVH performance of the electric drive assembly, the electric drive assembly is connected to the test bench to evaluate the NVH performance of the electric drive assembly, and only the NVH characteristic under the current test working condition can be obtained, but the real NVH performance feeling cannot be obtained. On the other hand, before the production and assembly of the entity sample car, the road test can not be carried out on the electric drive assembly to obtain the NVH performance of the electric drive assembly under the whole car running state of the electric car, and the NVH performance of the electric drive assembly can not be optimized for the whole car, so that the development period of the NVH performance of the electric drive assembly is long, and the development cost is high. In addition, in the real vehicle road test process, potential safety hazards exist for NVH tests in the limit state.
Disclosure of Invention
Aiming at the defects of the prior art, the technical problems to be solved by the invention are as follows: how to provide an electric automobile electric drive assembly NVH test system and a test method which can carry out NVH test on an electric drive assembly through a simulation driving simulation whole automobile power system and are beneficial to shortening the research and development period and reducing the development cost.
In order to solve the technical problems, the invention adopts the following technical scheme:
an electric automobile electric drive assembly NVH test system which characterized in that includes:
the NVH test bench is used for installing the electric drive assembly to be tested and loading a test load, and comprises a bench base used for installing the electric drive assembly to be tested and a load dynamometer used for connecting the output end of the electric drive assembly to be tested, wherein the bench base is installed in the semi-anechoic chamber, and the load dynamometer is installed outside the semi-anechoic chamber;
the simulated driving system comprises a driving control module and an HIL system with a whole vehicle longitudinal dynamics simulation model, wherein the driving control module comprises a brake pedal with a brake stroke sensor, an accelerator pedal with an accelerator opening sensor and a steering wheel with a corner sensor; the HIL system is used for receiving the driver control signals output by the brake pedal, the accelerator pedal and the steering wheel, calculating to obtain the driving rotating speed and the load torque of the electric driving assembly through a whole vehicle longitudinal dynamics simulation model, and then inputting the driving rotating speed and the load torque to the electric driving assembly to be tested and the load dynamometer on the NVH test bench to realize the working condition simulation;
the NVH data processing module is used for collecting and processing NVH data signals and comprises a sensor component, a data processing module and a sound image feedback module; the sensor assembly comprises a rotating speed sensor, a vibration acceleration sensor and an acoustic sensor which are arranged on the NVH test bed, and the data processing module is used for processing collected rotating speed signals, vibration signals and noise signals into NVH characteristic data and transmitting the NVH characteristic data to the sound image feedback module; the sound image feedback module comprises a real-time information display module for displaying NVH characteristics and an acoustic output module for playing back NVH noise.
Adopt above-mentioned structure, before whole car development is accomplished, drive through simulation driving system and the whole car of HIL system simulation driving, control electric drive assembly and load dynamometer machine on the NVH test bench, the behavior of electric drive assembly under the simulation test operating mode, and through speed sensor, vibration acceleration sensor and acoustic sensor are with the NVH data acquisition back of electric drive assembly, show through real-time information display module and acoustic output module broadcast, thereby let the tester can obtain the test impression on the whole car, be favorable to shortening development cycle, reduce development cost.
As optimization, the HIL system further includes a driving environment simulation database in which vehicle model data and driving scene data are stored; the HIL system is also used for loading selected vehicle model data and driving scene data, generating simulated driving animation according to the received control signal and displaying the simulated driving animation on the scene display.
Therefore, the test personnel can obtain better real vehicle driving experience when driving is simulated.
As a further optimization, the driving simulation system further comprises a six-degree-of-freedom platform and a driving seat, the driving control module, the driving seat and the scene display are all arranged on the six-degree-of-freedom platform, a control system of the six-degree-of-freedom platform is connected with the HIL system, and the HIL system is used for controlling the six-degree-of-freedom platform to simulate the driving posture of the vehicle according to the test working condition.
As optimization, the system further comprises a data storage module, wherein the data storage module comprises an exchange model algorithm library for storing mutual conversion of NVH rack test data and NVH road test data; the data processing module is used for transmitting the processed NVH characteristic data to the exchange model algorithm library, and the exchange model algorithm library converts the received NVH characteristic data into corresponding NVH road test data and transmits the NVH road test data to the sound image feedback module.
Therefore, NVH characteristic data of the bench test are converted into NVH characteristic data of the road test through the exchange model algorithm library, playback of NVH noise and display of NVH characteristics are carried out through the sound image feedback system, a tester can complete road test NVH characteristic test of the electric drive assembly before assembly of the sample car, road test is carried out after the sample car is assembled without waiting, and therefore the research and development process can be greatly accelerated.
Further, the exchange model algorithm library is established by adopting the following steps:
s11, mounting different types of electric drive assemblies on a test vehicle for road test, acquiring NVH characteristic data of the electric drive assemblies in real time, corresponding rotating speed and load, and establishing an NVH road test data set of the rotating speed, the load and the NVH characteristic data;
s12, mounting different types of electric drive assemblies on a test bench, acquiring NVH characteristic data of the electric drive assemblies in real time, corresponding rotating speed and load, and establishing an NVH bench test data set of the rotating speed, the load and the NVH characteristic data;
and S13, training and verifying the algorithm model of the artificial intelligence deep learning module by adopting the NVH road test data set and the NVH rack test data set, and establishing an exchange model algorithm library for mutual conversion of the NVH rack test data and the NVH road test data.
As optimization, the vehicle noise suppression system further comprises a data storage module, wherein the data storage module comprises a vehicle NVH model database in which tire noise data, wind noise data and road noise data are stored, the vehicle NVH model database is connected with a model superposition module, the data processing module is used for transmitting the processed NVH characteristic data to the model superposition module, and the model superposition module is used for superposing the tire noise data, the wind noise data and the road noise data with the received NVH characteristic data according to the weight to generate vehicle NVH characteristic data and transmitting the vehicle NVH characteristic data to the sound image feedback module.
Therefore, the wind noise data, the tire noise data, the road noise data and the NVH characteristic data are overlapped through the model overlapping module to obtain the NVH characteristic data of the whole vehicle, the NVH characteristic of the electric drive assembly can be synchronously optimized in the development process of the whole vehicle, the research and development period is favorably shortened, and the research and development cost is reduced.
Further, the entire vehicle NVH model database is established by adopting the following steps:
s21, arranging sensors on bodies, tires and chassis of electric vehicles of different vehicle types, and respectively collecting wind noise signals, tire noise signals and road noise signals;
and S22, performing a road test on the electric vehicle in the step S21, acquiring a wind noise signal, a tire noise signal and a road noise signal in real time, and corresponding vehicle speed and load, and respectively establishing a wind noise NVH model library of the wind noise and the corresponding vehicle speed and load, a tire noise NVH model library of the tire noise and the corresponding vehicle speed and load, and a road noise NVH model library of the road noise and the corresponding vehicle speed and load.
The NVH testing method for the electric drive assembly of the electric automobile is characterized in that the NVH testing system for the electric drive assembly of the electric automobile as claimed in any one of claims 1-7 is obtained, a tester simulates driving of the electric drive assembly through a simulation driving system, and the NVH testing is completed.
In summary, the invention has the following advantages:
1. the driving simulation system, the NVH test bed, the HIL system and the NVH test module are integrated to carry out NVH simulation of the electric driving assembly, and functions of NVH data acquisition, data processing, driving simulation, complete vehicle dynamics model simulation and the like can be completed simultaneously through closed-loop work.
2. Through the simulation driving, real-time noise and driving pictures can be obtained, real driving experience is obtained, and the NVH performance of the electric drive assembly under various working conditions can be sensed more intuitively.
3. The complete vehicle dynamics model is simulated through the HIL hardware-in-the-loop, NVH characteristics under various working conditions can be simulated before a sample vehicle is not completed, NVH performance is optimized by combining a corresponding evaluation system, road test times can be reduced, and the production period and development cost of the electric vehicle are greatly reduced.
Drawings
Fig. 1 is a block diagram of an electrical drive assembly NVH simulator.
FIG. 2 is a schematic flow diagram of the operational principle of an NVH simulator of an electric drive assembly.
FIG. 3 is a diagram of an NVH exchange model algorithm library for rack testing and road testing of the electric drive assembly.
FIG. 4 is an exploded view of the NVH characteristics of the whole vehicle.
FIG. 5 is a diagram of a method for predicting the NVH performance of a vehicle drive system on a vehicle road test.
FIG. 6 is a graph illustrating NVH characteristic prediction for a road test of an electric drive assembly.
Detailed Description
The present invention will be described in further detail with reference to examples.
In the specific implementation: as shown in fig. 1 to 6, an NVH testing system of an electric drive assembly of an electric vehicle includes an NVH test bench, a driving simulation system, and an NVH data processing module.
NVH test bench for the installation electric drive assembly that awaits measuring and loading test load, including the rack base that is used for the installation electric drive assembly that awaits measuring and the load dynamometer machine that is used for connecting the electric drive assembly output that awaits measuring, rack base installs in half noise elimination indoorly, the load dynamometer machine is installed outdoors at half noise elimination. The electric drive assembly 3 to be tested is arranged on the pedestal of the rack, and the load dynamometer 2 is connected with the output ends of two sides of the electric drive assembly 3 to be tested.
The simulated driving system comprises a driving control module and an HIL system with a whole vehicle longitudinal dynamics simulation model, wherein the driving control module comprises a brake pedal with a brake stroke sensor, an accelerator pedal with an accelerator opening sensor and a steering wheel with a corner sensor; the HIL system is used for receiving a driver control signal output by the brake pedal, the accelerator pedal and the steering wheel, calculating a driving rotating speed and a load torque of the electric driving assembly through a whole vehicle longitudinal dynamics simulation model, and inputting the driving rotating speed and the load torque into the electric driving assembly to be tested and the load dynamometer on the NVH test bench to realize the working condition simulation.
The NVH data processing module is used for collecting and processing NVH data signals and comprises a sensor component, a data processing module and a sound image feedback module; the sensor assembly comprises a rotating speed sensor, a vibration acceleration sensor and an acoustic sensor which are arranged on the NVH test bed, and the data processing module is used for processing collected rotating speed signals, vibration signals and noise signals into NVH characteristic data and transmitting the NVH characteristic data to the sound image feedback module; the sound image feedback module comprises a real-time information display module for displaying NVH characteristics and an acoustic output module for playing back NVH noise.
In this embodiment, the data processing module includes a signal collector; the acoustic output module is a headset, and the real-time information display module is a real-time data display used for displaying an NVH chart.
In this embodiment, the HIL system (hardware-in-the-loop system) includes a hardware platform and a software platform, and is configured to simulate a longitudinal dynamic model of the entire vehicle, receive control signals (manipulated by a driver) of a steering wheel, a brake pedal, and an accelerator pedal of a driving control module, simulate a load parameter, and input the load parameter into the load dynamometer and the electric drive assembly to perform a condition simulation on the electric drive assembly.
In this embodiment, the HIL system further includes a driving environment simulation database in which vehicle model data and driving scene data are stored; the HIL system is also used for loading selected vehicle model data and driving scene data, generating simulated driving animation according to the received control signal and displaying the simulated driving animation on the scene display.
The driving environment simulation database provides different types of automobile models and different driving scenes and is used for simulating working condition tests of different automobile types. When the test is carried out, a user can select different vehicle types and different driving scenes according to the self requirement. The driving environment simulation database can acquire steering device corner signals, accelerator pedal position signals and brake pedal position signals input by a tester in real time through sensors arranged on a steering wheel 2, an accelerator pedal 11 and a brake pedal 10, and the signals are used as control signals to control a driving simulation picture in real time and simulate the real running state of an automobile.
Meanwhile, in order to obtain more real driving experience, the driving simulation system further comprises a six-degree-of-freedom platform and a driving seat, the driving control module, the driving seat and the scene display are all arranged on the six-degree-of-freedom platform, a control system of the six-degree-of-freedom platform is connected with the HIL system, and the HIL system is used for controlling the six-degree-of-freedom platform to simulate the driving posture of the vehicle according to the test working condition.
During testing, the following steps are adopted:
firstly, an electric drive assembly to be tested is correctly installed on a pedestal of a bench in a semi-anechoic chamber and connected with load dynamometers on the left side and the right side, and the semi-anechoic chamber provides a semi-free sound field space for testing of a test bench and ensures that good free sound field performance can be obtained during testing.
The method comprises the steps of selecting a noise measuring point and a vibration measuring point at a sensitive position on an electric drive assembly, installing a sensor component comprising a rotating speed sensor, a vibration acceleration sensor and an acoustic sensor, and connecting the sensor component with a signal collector of a data processing module through a signal line.
After the steps are completed, a tester controls the steering wheel, the brake pedal and the accelerator pedal through the driving control module according to the test working condition, and after the HIL system receives the corner signal, the brake pedal signal and the accelerator pedal signal of the steering wheel from the driving simulator, a corresponding finished automobile rotating speed and torque control signal is obtained through a finished automobile longitudinal dynamics model obtained through simulation calculation and simulation of a hardware platform and a software platform of the HIL system. After a rotating speed and torque control signal of the whole vehicle is obtained through the HIL system, the rotating speed and torque control signal is input to a load dynamometer on a test bench to load an electric drive assembly, rotating speed and torque control is performed on the electric drive assembly according to a test working condition, NVH characteristic data of a tested object under the working condition is fed back to a tester through a sensor and an acoustic image feedback instrument, and the tester performs next operation on an accelerator, a steering wheel and a brake pedal to form a closed loop.
The load dynamometer loads the electric drive assembly according to a finished automobile load parameter signal output by the HIL system, meanwhile, the HIL system adjusts the rotating speed and the torque of the electric drive assembly according to an accelerator signal, a brake signal and a steering wheel signal output by a tester and a simulation longitudinal dynamics model to enable the electric drive assembly to reach a test state, in the process, the signal collector collects vibration signals and noise signals of a vibration acceleration sensor and an acoustic sensor which are installed on a test bench, and converts the vibration signals and the noise signals into digital signals so as to process and analyze data. Meanwhile, real-time state data such as the rotating speed and the output torque of the electric drive assembly can be input into the real-time data display, and a driver can conveniently check the data.
After data acquisition is completed, the acquired data is input into a data processing module, the acquired data such as noise, vibration and the like is processed by data processing and analyzing software, specifically, the data is analyzed by a spectrogram analyzing method or a waterfall graph analyzing method to obtain NVH characteristic data of the electric drive assembly, and after the NVH testing system finishes working, the data processed by the data processing and analyzing software can be displayed on a real-time data display.
By adopting the test system, in the driving simulation system, a tester controls the steering wheel, the brake pedal and the accelerator pedal by observing data signals on a real-time data display module (a real-time data display), and acquires steering wheel corner signals, brake pedal position signals and accelerator pedal position signals by an installed angle sensor and a brake position sensor. When a tester controls, the scene display can display a real-time driving picture, the headset can collect noise and vibration data obtained by each measuring point of the driving motor through the NVH testing system and playback corresponding noise, and the noise and the vibration data are fed back to the tester, so that real driving feeling and NVH performance experience are obtained.
The HIL system can realize the longitudinal dynamics simulation of the whole vehicle, reduce the times of road tests of the real vehicle, shorten the development time and reduce the cost, a hardware platform of the HIL system provides various real-time processors and I/O board cards to ensure that the latest PC technology can be applied to the HIL system, a software platform of the HIL system is connected with the real-time processors through Ethernet and is matched with function expansion packages such as LabVIEW and the like to realize the functions of hardware configuration management, visual interactive interface creation and the like, and a software model can provide a motor model to realize the dynamics model of the whole vehicle.
In addition, in order to better simulate the NVH road test of the electric drive assembly, in this embodiment, a data storage module is further provided, and the data storage module includes an exchange model algorithm library storing the mutual conversion between the NVH rack test data and the NVH road test data; the data processing module is used for transmitting the processed NVH characteristic data to the exchange model algorithm library, and the exchange model algorithm library converts the received NVH characteristic data into corresponding NVH road test data and transmits the NVH road test data to the sound image feedback module.
The specific method for establishing the exchange model algorithm library comprises the following steps:
respectively carrying out NVH rack test and NVH road test on different types of electric drive assemblies, introducing data measured in a laboratory and data obtained by road test into an artificial intelligence learning system together, finding out an algorithm relation connecting the experimental test data and the road test data, and establishing an NVH exchange model algorithm library for the electric drive assembly rack test and the road test. As shown in figure 3 in particular in real time,
1. finding out different types of driving motor assemblies with NVH characteristics from historical data of an NVH test of the electric driving assembly, and well dividing the types of the NVH characteristics; for example, the different NVH characteristic types are denoted as assembly a, assembly B, and assembly C ….
2. Different types of electric drive assemblies are connected to an NVH test bench, noise measurement points are selected around the electric drive assemblies, acoustic collectors are installed at the points, the assemblies are loaded through the bench, and the rotating speed and the output torque of a motor are controlled. In the testing process, a signal acquisition system acquires pulse signals generated by a rotating speed sensor and a torque sensor which are arranged on a testing rack, and the pulse signals are further converted into the actual rotating speed and load of the tested assembly.
3. The speed, load and NVH characteristics of the electric drive assembly at each time are also recorded. And establishing a curve relation of the rotating speed, the load and the NVH characteristic.
4. Storing the NVH characteristics of different electric drive assemblies tested on the bench; for example, the characteristics are respectively expressed as an a assembly stage NVH characteristic, a B assembly stage NVH characteristic, a C assembly stage NVH characteristic, and the like.
5. The electric drive assembly is used for road NVH testing, acoustic sensors are arranged on the left side and the right side of the electric drive assembly and connected to signal acquisition equipment, and the vehicle speed and the pedal position are recorded in real time through a CAN bus carried on a vehicle. And (4) carrying out curve relation on the NVH characteristic, the vehicle speed, the accelerator pedal position and the NVH characteristic measured by the road test.
6. Storing NVH characteristics of different electric drive assemblies tested by a road; for example, the characteristics are respectively recorded as an a assembly line test NVH characteristic, a B assembly line test NVH characteristic, a C assembly line test NVH characteristic, and the like.
7. The method comprises the steps of importing NVH characteristic data obtained by various types of electric drive assembly road tests and NVH characteristic data obtained by various types of electric drive assembly rack tests into an artificial intelligence learning module, establishing a Decision tree according to the input NVH rack tests and the road test NVH data by using a Decision tree algorithm (Decision tree algorithm), selecting optimal characteristics in the input data to establish branch nodes of the Decision tree in a recursive mode, and segmenting training data according to the characteristics, so that each sub data set has a best classification process. And (3) checking and correcting the decision tree generated in the last stage, checking a preliminary rule generated in the decision tree generation process by using newly acquired NVH characteristic sample data, performing regression calculation processing on the data by using the specification, and establishing an algorithm for mutual conversion of an electrically driven assembly rack test NVH characteristic model and a road test NVH model. And performing the algorithm establishment of mutual conversion of the rack test NVH model and the road test NVH model on various types of electric drive assemblies, and finally establishing an electric drive assembly rack test and road test NVH exchange model algorithm library, namely an exchange model algorithm library.
The method for testing the road NVH characteristics of the electric drive assembly by adopting the exchange model algorithm library comprises the following steps:
the working condition test is carried out on the electric drive assembly through the simulation driving system, and the acquired rotating speed signal, vibration signal and noise signal are processed into NVH characteristic data, namely NVH rack test data, by the data processing module.
And transmitting the NVH rack test data into an exchange model algorithm library, and converting the NVH characteristic data of the rack test into the NVH characteristic data of the road test through an exchange model algorithm.
The driving environment simulation database provides a driving environment for simulating driving, and inputs an operation signal to the driving simulation module to simulate the running state of the vehicle in real time.
According to the accelerator pedal position signal and the load signal, the road test NVH characteristic is found in a three-dimensional coordinate system established by the NVH characteristic vehicle speed and the accelerator pedal position, and the acoustic output module outputs the predicted road test electric drive assembly noise in real time.
Furthermore, in order to better simulate the entire vehicle NVH test of the electric drive assembly, the data storage module further comprises an entire vehicle NVH model database in which tire noise data, wind noise data and road noise data are stored, the entire vehicle NVH model database is connected with a model superposition module, the data processing module is used for transmitting the processed NVH characteristic data to the model superposition module, and the model superposition module is used for superposing the tire noise data, the wind noise data and the road noise data with the received NVH characteristic data according to the weight to generate entire vehicle NVH characteristic data and transmitting the entire vehicle NVH characteristic data to the sound image feedback module.
In this embodiment, a specific method for establishing the NVH model data of the entire vehicle is as follows:
1. preparing different types of pure electric vehicles, arranging sensors at positions of a vehicle body, tires, a chassis and the like, and respectively collecting wind noise signals, tire noise signals and road noise signals.
2. Real-time speed signals and accelerator pedal position signals of the vehicle are acquired through the vehicle-mounted CAN bus and stored.
3. And processing the collected signals by using signal processing means such as filtering and the like on the wind noise signals, the tire noise signals and the road noise signals collected during the vehicle road test to obtain data of each measuring point.
4. And further processing the tire noise data, the wind noise data and the road noise data of each measuring point to obtain NVH specific directions of different positions, and respectively establishing a tire noise NVH model, a wind noise NVH model and a road noise NVH model.
5. And establishing a tire noise NVH model library, a wind noise NVH model library and a road noise NVH model library through road tests of different vehicles, and establishing the whole vehicle NVH model data.
The method for testing the NVH performance of the whole vehicle road test of the electric drive assembly by adopting the embodiment is shown in FIG. 5.
The working condition test is carried out on the electric drive assembly through the simulation driving system, and the acquired rotating speed signal, vibration signal and noise signal are processed into NVH characteristic data, namely NVH rack test data, by the data processing module.
And carrying out data processing on NVH rack test data through a signal processor, and transmitting the processed data to a model superposition module to serve as basic data for NVH evaluation.
And the tire noise NVH model library, the wind noise NVH model library and the road noise NVH model library are connected with the model superposition module through contribution amount control channels, and the contribution channels can control the proportion of various noises in the data model.
The method is characterized in that tire noise, wind noise and road noise data are superposed on the basic data of the electric drive assembly NVH, NVH characteristics of the whole vehicle in the actual road running process are simulated, and the driving simulation system simulates the running state of the vehicle in real time according to driving operation signals generated by a driving mechanism operated by a tester.
And transmitting the data in the superimposed data model to an acoustic synthesizer, transmitting the signals subjected to acoustic processing to acoustic playing equipment, inputting the combined running sound of the whole vehicle, and evaluating the sound quality (loudness, smoothness, sharpness, roughness and fluctuation) of the sound by a tester.
The vehicle speed is converted from the rotational speed detected by the rotational speed sensor, and therefore there is a correspondence relationship between the vehicle speed and the rotational speed.
The above description is only exemplary of the present invention and should not be taken as limiting, and any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (8)
1. An electric automobile electric drive assembly NVH test system which characterized in that includes:
the NVH test bench is used for installing the electric drive assembly to be tested and loading a test load, and comprises a bench base used for installing the electric drive assembly to be tested and a load dynamometer used for connecting the output end of the electric drive assembly to be tested, wherein the bench base is installed in the semi-anechoic chamber, and the load dynamometer is installed outside the semi-anechoic chamber;
the simulated driving system comprises a driving control module and an HIL system with a whole vehicle longitudinal dynamics simulation model, wherein the driving control module comprises a brake pedal with a brake stroke sensor, an accelerator pedal with an accelerator opening sensor and a steering wheel with a corner sensor; the HIL system is used for receiving the driver control signals output by the brake pedal, the accelerator pedal and the steering wheel, calculating to obtain the driving rotating speed and the load torque of the electric driving assembly through a whole vehicle longitudinal dynamics simulation model, and then inputting the driving rotating speed and the load torque to the electric driving assembly to be tested and the load dynamometer on the NVH test bench to realize the working condition simulation;
the NVH data processing module is used for collecting and processing NVH data signals and comprises a sensor component, a data processing module and a sound image feedback module; the sensor assembly comprises a rotating speed sensor, a vibration acceleration sensor and an acoustic sensor which are arranged on the NVH test bed, and the data processing module is used for processing collected rotating speed signals, vibration signals and noise signals into NVH characteristic data and transmitting the NVH characteristic data to the sound image feedback module; the sound image feedback module comprises a real-time information display module for displaying NVH characteristics and an acoustic output module for playing back NVH noise.
2. The electric vehicle electric drive assembly NVH testing system of claim 1, wherein the HIL system further comprises a driving environment simulation database storing vehicle model data and driving scenario data; the HIL system is also used for loading selected vehicle model data and driving scene data, generating simulated driving animation according to the received control signal and displaying the simulated driving animation on the scene display.
3. The NVH test system of claim 2, wherein the driving simulation system further comprises a six-degree-of-freedom platform and a driving seat for simulating vehicle postures, the driving control module, the driving seat and the scene display are all arranged on the six-degree-of-freedom platform, a control system of the six-degree-of-freedom platform is connected with the HIL system, and the HIL system is used for controlling the six-degree-of-freedom platform to simulate vehicle driving postures according to test conditions.
4. The NVH test system of claim 1, further comprising a data storage module, wherein the data storage module comprises an exchange model algorithm library storing mutual conversion between NVH bench test data and NVH road test data; the data processing module is used for transmitting the processed NVH characteristic data to the exchange model algorithm library, and the exchange model algorithm library converts the received NVH characteristic data into corresponding NVH road test data and transmits the NVH road test data to the sound image feedback module.
5. The NVH testing system of claim 4, wherein the exchange model algorithm library is created by:
s11, mounting different types of electric drive assemblies on a test vehicle for road test, acquiring NVH characteristic data of the electric drive assemblies in real time, corresponding rotating speed and load, and establishing an NVH road test data set of the rotating speed, the load and the NVH characteristic data;
s12, mounting different types of electric drive assemblies on a test bench, acquiring NVH characteristic data of the electric drive assemblies in real time, corresponding rotating speed and load, and establishing an NVH bench test data set of the rotating speed, the load and the NVH characteristic data;
and S13, training and verifying the algorithm model of the artificial intelligence deep learning module by adopting the NVH road test data set and the NVH rack test data set, and establishing an exchange model algorithm library for mutual conversion of the NVH rack test data and the NVH road test data.
6. The NVH test system of claim 1, further comprising a data storage module, wherein the data storage module comprises a vehicle NVH model database storing tire noise data, wind noise data and road noise data, the vehicle NVH model database is connected with a model superposition module, the data processing module is used for transmitting the processed NVH characteristic data to the model superposition module, and the model superposition module is used for superposing the tire noise data, the wind noise data and the road noise data with the received NVH characteristic data according to the weight to generate vehicle NVH characteristic data and transmitting the vehicle NVH characteristic data to the sound image feedback module.
7. The NVH test system of claim 6, wherein the entire NVH model database is created by the steps of:
s21, arranging sensors on bodies, tires and chassis of electric vehicles of different vehicle types, and respectively collecting wind noise signals, tire noise signals and road noise signals;
and S22, performing a road test on the electric vehicle in the step S21, acquiring a wind noise signal, a tire noise signal and a road noise signal in real time, and corresponding vehicle speed and load, and respectively establishing a wind noise NVH model library of the wind noise and the corresponding vehicle speed and load, a tire noise NVH model library of the tire noise and the corresponding vehicle speed and load, and a road noise NVH model library of the road noise and the corresponding vehicle speed and load.
8. The NVH testing method for the electric drive assembly of the electric automobile is characterized in that the NVH testing system for the electric drive assembly of the electric automobile as claimed in any one of claims 1-7 is obtained, a tester simulates driving of the electric drive assembly through a simulation driving system, and the NVH testing is completed.
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