Vehicle NVH partition control method and system, electronic equipment and storage medium

Abstract

The invention provides a vehicle NVH partition control method and system, electronic equipment and a storage medium, and the method comprises the steps: obtaining an initial working point set of a range extender, carrying out the whole vehicle NVH test based on each initial working point, collecting the noise data of a plurality of regions in each initial working point, and storing the noise data in the regions in each initial working point; according to different NVH optimization objectives and the noise data of the multiple areas in the vehicle at all the initial working points, multi-objective optimization of the total noise data in the vehicle is carried out, optimized working point sets under the different NVH optimization objectives are obtained, the range extender is made to operate based on the optimized working point sets under the different NVH optimization objectives, and NVH partition control in the vehicle is completed; according to the method, the noise characteristics of each area in the vehicle in different working states of the range extender can be more accurately obtained, the optimization precision of the working point of the range extender is improved, the working state of the range extender is flexibly adjusted according to the NVH requirements of personnel in different areas in the vehicle, and the NVH experience of the personnel in different areas is improved.

Description

Technical Field

[0001] This application relates to the technical field of range extender vehicle control, and particularly relates to a vehicle NVH zoning control method, system, electronic device, and storage medium. Background Art

[0002] NVH (Noise Vibration Harshness) is one of the important indicators for measuring vehicle comfort and driving experience. With the upgrade of the ride and drive experience, users pay more and more attention to the NVH performance of vehicles. Range extender vehicles, because they can run on both fuel and electricity, have no range anxiety, and also take into account the vehicle use cost, have become the mainstream development trend in the current automotive market. However, the operation of the range extender will, to a certain extent, affect the NVH performance of range extender vehicles. Therefore, it is necessary to develop a power generation operating point strategy for the range extender of range extender vehicles according to NVH requirements.

[0003] Due to factors such as the differences in the body structures around different seats in the vehicle and the differences in the distances between different seats and the excitation sources, there will be obvious differences in the NVH levels on different seats in the vehicle at the same time. Usually, the power generation operating point strategy of the range extender of range extender vehicles is mainly developed based on the NVH of the driver's seat, ignoring the NVH requirements of the people on other seats in the vehicle, resulting in poor NVH experience for the people on other seats in the vehicle. Summary of the Invention

[0004] In view of the above-mentioned disadvantages of the prior art, this application provides a vehicle NVH zoning control method, system, electronic device, and storage medium to solve the technical problem that the power generation operating point strategy of the range extender of range extender vehicles is mainly developed based on the NVH of the driver's seat, ignoring the NVH requirements of the people on other seats in the vehicle, resulting in poor NVH experience for the people on other seats in the vehicle.

[0005] This application provides a vehicle NVH zoning control method, the method includes: obtaining an initial operating point set of the range extender, the initial operating point set includes a plurality of initial operating points; performing a vehicle NVH test based on each of the initial operating points to collect noise data of a plurality of regions in the vehicle at each of the initial operating points; according to different NVH optimization objectives and the noise data of the plurality of regions in the vehicle at each of the initial operating points, performing multi-objective optimization of the total noise data in the vehicle to obtain an optimized operating point set under the different NVH optimization objectives, so that the range extender operates based on the optimized operating point set under the different NVH optimization objectives to complete vehicle NVH zoning control.

[0006] In an embodiment of the present application, obtaining the initial operating point set of the range extender includes: obtaining the first operating point set of the range extender through a bench test on the single-unit energy consumption of the range extender, and obtaining the second operating point set of the range extender through a bench test on the single-unit vibration and noise of the range extender; fusing the first operating point set and the second operating point set, and performing simulation based on the fused operating point set to obtain a simulation result; screening out the operating frequency avoidance points of the range extender from the fused operating point set based on the simulation result to obtain the initial operating point set.

[0007] In an embodiment of the present application, according to different NVH optimization objectives and the noise data of multiple regions inside the vehicle at each of the initial operating points, multi-objective optimization of the total noise data inside the vehicle is performed, including: establishing a multi-objective optimization mathematical model for the total noise data inside the vehicle based on the noise data of the multiple regions; respectively assigning weights to the noise data of each region according to the different NVH optimization objectives to obtain a regional noise weight set corresponding to each NVH optimization objective, where the regional noise weight set includes the noise weights of each region; through the multi-objective optimization mathematical model, calculating the total noise data inside the vehicle at each of the initial operating points according to the regional noise weight set corresponding to one NVH optimization objective and the noise data of the multiple regions inside the vehicle at each of the initial operating points, and determining an optimized operating point set under the NVH optimization objective based on the calculation result, so as to obtain the optimized operating point sets under different NVH optimization objectives.

[0008] In an embodiment of the present application, after obtaining the optimized operating point sets under different NVH optimization objectives, the method further includes: collecting in-vehicle image data, and identifying the personnel in the in-vehicle image data to obtain the positions and physiological characteristics of each person; determining the current NVH optimization objective from multiple NVH optimization objectives according to the positions and physiological characteristics of each person; controlling the range extender to operate based on the optimized operating point set under the current NVH optimization objective to complete the in-vehicle NVH zonal control.

[0009] In an embodiment of the present application, after obtaining the optimized operating point sets under different NVH optimization objectives, the method includes: performing a subjective vehicle NVH driving evaluation based on the optimized operating point sets under different NVH optimization objectives to obtain the scoring results of the optimized operating point sets under different NVH optimization objectives; if the scoring result of the optimized operating point set under a certain NVH optimization objective meets the preset conditions, performing vehicle calibration on the optimized operating point set under this NVH optimization objective; if the scoring result of the optimized operating point set under a certain NVH optimization objective does not meet the preset conditions, obtaining a new optimized operating point set under this NVH optimization objective by re-performing multi-objective optimization of the total in-vehicle noise data, and re-performing a subjective vehicle NVH driving evaluation to obtain the scoring result of the new optimized operating point set under this NVH optimization objective, until the scoring result of the new optimized operating point set under this NVH optimization objective meets the preset conditions, and performing vehicle calibration on the new optimized operating point set under this NVH optimization objective; controlling the range extender to operate based on the optimized operating point sets under different NVH optimization objectives obtained by vehicle calibration to complete in-vehicle NVH zonal control.

[0010] In an embodiment of the present application, obtaining a new optimized operating point set under this NVH optimization objective by re-performing multi-objective optimization of the total in-vehicle noise data includes: adjusting the weights of the regional noise weight sets corresponding to this NVH optimization objective; according to the adjusted regional noise weight sets corresponding to this NVH optimization objective and the noise data of multiple regions in the vehicle at each initial operating point through the multi-objective optimization mathematical model, re-calculating the total in-vehicle noise data at each initial operating point, and determining a new optimized operating point set under this NVH optimization objective based on the re-calculation results.

[0011] In an embodiment of the present application, the preset conditions include sub-preset conditions corresponding to the comprehensive NVH optimization objective and sub-preset conditions corresponding to each zonal NVH optimization objective, where all the NVH optimization objectives include the comprehensive NVH optimization objective and each zonal NVH optimization objective; the sub-preset conditions corresponding to the comprehensive NVH optimization objective include that in the vehicle scores of the optimized operating point sets under each NVH optimization objective, the vehicle score of the optimized operating point set under the comprehensive NVH optimization objective is the highest, where the scoring result includes the vehicle score; the sub-preset conditions corresponding to the zonal NVH optimization objective include that the score of the key region of the optimized operating point set under the zonal NVH optimization objective is higher than the score of the key region of the optimized operating point set under the comprehensive NVH optimization objective, where the scoring result also includes the scores of each region, and the key region is the region associated with the zonal NVH optimization objective.

[0012] In one embodiment of the present application, a vehicle NVH zonal control system is further provided. The system includes: a data acquisition module, configured to acquire noise data of multiple areas inside the vehicle at each initial operating point during the vehicle's NVH test, where the vehicle's NVH test is performed based on each of the initial operating points in the initial operating point set of the range extender; an information processing module, configured to perform multi-objective optimization of the total noise data inside the vehicle according to different NVH optimization objectives and the noise data of the multiple areas inside the vehicle at each of the initial operating points, to obtain an optimized operating point set under the different NVH optimization objectives; and a control module, configured to control the operation of the range extender through a range extender operation instruction to complete the vehicle's NVH zonal control, where the range extender operation instruction is generated based on the optimized operating point set under the different NVH optimization objectives.

[0013] In one embodiment of the present application, an electronic device is further provided. The electronic device includes: one or more processors; a storage device, configured to store one or more programs, and when the one or more programs are executed by the one or more processors, the electronic device implements the vehicle NVH zonal control method as described above.

[0014] In one embodiment of the present application, a computer-readable storage medium is further provided, on which a computer program is stored. When the computer program is executed by a processor of a computer, the computer is caused to execute the vehicle NVH zonal control method as described above.

[0015] Advantages of the present application: The present application provides a vehicle NVH zonal control method, system, electronic device, and storage medium. The method performs a vehicle NVH test at each initial operating point of the range extender to acquire noise data of multiple areas inside the vehicle at different initial operating points, and can more accurately obtain the noise characteristics of each area inside the vehicle in different operating states of the range extender, improving the optimization accuracy of subsequent operating points of the range extender; then, multi-objective optimization of the total noise data inside the vehicle is performed for different NVH optimization objectives to obtain an optimized operating point set of the range extender under different NVH optimization objectives, so as to control the range extender to operate based on the optimized operating point set under different NVH optimization objectives to complete the vehicle's NVH zonal control, and can flexibly adjust the operating state of the range extender according to the NVH requirements of passengers in different areas inside the vehicle, improving the NVH experience of passengers in different areas.

[0016] It should be understood that the above general description and subsequent detailed description are only exemplary and explanatory, and cannot limit the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 is a flowchart of a vehicle NVH zonal control method shown in an exemplary embodiment of the present application;

[0018] Figure 2 It is a schematic diagram of the passenger compartment partition shown in a specific embodiment of the present application;

[0019] Figure 3(a) is a schematic diagram of the installation of the noise acquisition sensor at an angle shown in a specific embodiment of the present application;

[0020] Figure 3(b) is a schematic diagram of the installation of the noise acquisition sensor at another angle shown in a specific embodiment of the present application;

[0021] Figure 4 It is a flow chart of the in-vehicle NVH partition control optimization shown in a specific embodiment of the present application;

[0022] Figure 5 It is a block diagram of a vehicle NVH partition control system shown in an exemplary embodiment of the present application;

[0023] Figure 6 is Figure 5 a schematic structural diagram of the control module 530 in the shown embodiment in an exemplary embodiment;

[0024] Figure 7 It is a schematic structural diagram of an electronic device shown in an exemplary embodiment of the present application. Specific Embodiments

[0025] The following uses specific specific examples to illustrate the implementation manners of the present application. Those skilled in the art can easily understand other advantages and effects of the present application from the content disclosed in this specification. The present application can also be implemented or applied through other different specific implementation manners. Various details in this specification can also be modified or changed based on different viewpoints and applications without departing from the spirit of the present application. It should be noted that, without conflict, the following embodiments and the features in the embodiments can be combined with each other.

[0026] It should be noted that the diagrams provided in the following embodiments only illustrate the basic concept of the present application in a schematic manner. Therefore, only the components related to the present application are shown in the diagrams, rather than being drawn according to the number, shape, and size of the components in actual implementation. The type, quantity, and ratio of each component in actual implementation can be arbitrarily changed, and the component layout type may also be more complex.

[0027] It should be noted that in the present application, "first", "second", etc. are only used to distinguish similar objects, and are not used to limit the order or sequence of similar objects. The described "including", "having", etc. are deformed, indicating that the scope covered by the subject of the word does not exclude other examples except the examples shown by the word.

[0028] It should be understood that the various numerical numbers, step numbers, etc. recorded in this application are for the convenience of description and do not limit the scope of this application. The size of the labels in this application does not imply the order of execution. The execution order of each process should be determined by its function and internal logic.

[0029] In the following description, a large number of details are explored to provide a more thorough explanation of the embodiments of this application. However, it is obvious to those skilled in the art that the embodiments of this application can be implemented without these specific details. In other embodiments, well-known structures and devices are shown in the form of block diagrams rather than in detail to avoid making the embodiments of this application difficult to understand.

[0030] Embodiments of this application respectively propose a vehicle NVH zonal control method, a vehicle NVH zonal control system, an electronic device, a computer-readable storage medium, and a computer program product. These embodiments will be described in detail below.

[0031] An embodiment of this application proposes a vehicle NVH zonal control method, including: obtaining an initial operating point set of a range extender, where the initial operating point set includes a plurality of initial operating points; performing a vehicle NVH test based on each initial operating point to collect noise data of multiple regions inside the vehicle at each initial operating point; performing multi-objective optimization of the total noise data inside the vehicle according to different NVH optimization objectives and the noise data of multiple regions inside the vehicle at each initial operating point to obtain an optimized operating point set under different NVH optimization objectives, so that the range extender operates based on the optimized operating point set under different NVH optimization objectives to complete the vehicle NVH zonal control. It can be seen that the technical solution of the embodiment of this application can more accurately obtain the noise characteristics of each region inside the vehicle in different operating states of the range extender by performing a vehicle NVH test at each initial operating point of the range extender to collect the noise data of multiple regions inside the vehicle at different initial operating points, and improve the optimization accuracy of the subsequent operating points of the range extender. Moreover, this solution performs multi-objective optimization of the total noise data inside the vehicle according to different NVH optimization objectives to obtain an optimized operating point set of the range extender under different NVH optimization objectives, thereby controlling the range extender to operate based on the optimized operating point set under different NVH optimization objectives to complete the vehicle NVH zonal control, and can flexibly adjust the operating state of the range extender according to the NVH requirements of the passengers in different regions inside the vehicle, and improve the NVH experience of the passengers in different regions.

[0032] Please refer to Figure 1 , Figure 1 which is a flowchart of a vehicle NVH zonal control method shown in an exemplary embodiment of this application.

[0033] As Figure 1As shown, in an exemplary embodiment, the vehicle NVH zonal control method at least includes steps S110 to S130, which are introduced in detail as follows:

[0034] Step S110, obtain the initial operating point set of the range extender.

[0035] In an embodiment of the present application, the initial operating point set includes multiple initial operating points. Among them, the operating point is the power generation operating point of the range extender, specifically referring to the operating state in which its engine and generator operate at specific speeds and torques. The range extender can be installed on a test bench for bench tests. The range extender is operated at each predetermined operating point, and various parameter data of the range extender are collected, including speed, torque, fuel consumption rate, noise level, vibration level, etc., so as to screen each operating point based on the collected data, and form the initial operating point set of the range extender based on the screened operating points.

[0036] In an embodiment of the present application, step S110 includes: obtaining the first operating point set of the range extender through the bench test of the single-unit energy consumption of the range extender, and obtaining the second operating point set of the range extender through the bench test of the single-unit vibration and noise of the range extender; fusing the first operating point set and the second operating point set, and performing simulation according to the fused operating point set to obtain a simulation result; screening out the operating frequency avoidance points of the range extender based on the simulation result for the fused operating point set to obtain the initial operating point set.

[0037] In this embodiment, first, through the bench test of the single-unit energy consumption of the range extender, the universal characteristic curve of the range extender is determined. According to the vehicle power, torque balance, battery SOC state, and the balance relationship between the fuel economy and power of the range extender, the operating points on the universal characteristic curve are screened to find the operating points with the best comprehensive power demand, fuel efficiency, and battery SOC state, and form the first operating point set of the range extender. Through the bench test of the single-unit vibration and noise of the range extender, the vibration and noise data of the range extender at different loads, different speeds, different torques and other operating points are obtained, and these vibration and noise data are analyzed to find the operating points with the best NVH performance, and form the second operating point set of the range extender.

[0038] Then, the first operating point set and the second operating point set are fused to obtain the fused operating point set. There are many ways of fusion. For example, the first operating point set and the second operating point set can be directly merged to obtain the fused operating point set, or the intersection of the first operating point set and the second operating point set can be taken as the fused operating point set. It is also possible to set objective functions respectively according to objectives such as the best power generation efficiency and the best NVH performance, and obtain the fused operating point set through multi-objective optimization. There is no limitation here.

[0039] Finally, based on the fused set of operating points, vehicle CAE analysis and modal planning are carried out. By means of simulation calculation, the excitation load of the range extender is obtained, and the in-vehicle vibration and noise are evaluated. The operating points that may cause the vehicle to resonate at specific frequencies are identified as the frequency-avoidance points for the range extender's power generation operation, so as to screen out these frequency-avoidance points from the fused set of operating points, and obtain the initial set of operating points for the range extender, so that when the range extender is operated subsequently, the frequency range that may cause resonance can be effectively avoided, and the adverse impact on NVH performance can be reduced.

[0040] Step S120: Based on each initial operating point, a vehicle NVH test is carried out to collect the noise data of multiple areas inside the vehicle at each initial operating point.

[0041] In an embodiment of the present application, the noise data of multiple areas inside the vehicle at the initial operating point refers to the noise data of each area inside the vehicle when the range extender is operating at a certain initial operating point. The interior of the vehicle can be divided into multiple areas in advance. Specifically, the passenger compartment inside the vehicle can be partitioned according to the seat distribution of the vehicle model. As Figure 2 shown, taking a common household 5-seater vehicle model as an example, the passenger compartment can be divided into 4 areas: the driving area, the co-driver area, the left rear area, and the right rear area. Then, noise collection sensors such as microphones can be arranged in each area according to the "Measurement Method of Automotive Interior Noise". As shown in Figure 3(a), in the vertical direction, the vertical distance between the noise collection sensor and the seat cushion of the vehicle seat can be 0.7 ± 0.05 m. As shown in Figure 3(b), in the horizontal direction, for the area without passengers (that is, the area where the seat is not occupied), the noise collection sensor is located on the axis of the vehicle seat. For the area with passengers such as the driving area (that is, the area where the seat is occupied), the vertical distance between the noise collection sensor and the axis of the vehicle seat can be 0.2 ± 0.02 m. Among them, test point A is the installation position of the noise collection sensor on the unoccupied seat, and test point B is the installation position of the noise collection sensor on the occupied seat (such as the driver's seat). The range extender is operated in the vehicle at each initial operating point in the initial set of operating points, and an objective vehicle NVH test is carried out. The noise data of each area is collected through the noise collection sensors installed in each area, so as to obtain the noise data of multiple areas inside the vehicle at different initial operating points.

[0042] Step S130: According to different NVH optimization objectives and the noise data of multiple areas inside the vehicle at each initial operating point, multi-objective optimization of the total in-vehicle noise data is carried out to obtain an optimized set of operating points under different NVH optimization objectives, so that the range extender operates based on the optimized set of operating points under different NVH optimization objectives to complete in-vehicle NVH zonal control.

[0043] In one embodiment of the present application, the NVH optimization target can be preset according to the seat distribution of the vehicle model or the divided areas. It can be that the NVH performance of a single seat or a single area is optimal, or the comprehensive (or average) NVH performance of each seat or each area in the vehicle is optimal. The objective function can be set respectively according to different NVH optimization targets. Based on the noise data of each area at each initial operating point, the total vehicle interior noise data at each initial operating point is calculated. According to the objective function and the calculation results, the optimized operating points are determined from each initial operating point to form a set of optimized operating points. When the user is driving the vehicle, the current NVH optimization target can be determined according to the needs of the vehicle occupants. Through the in-vehicle system, the optimized operating point in the set of optimized operating points under the current NVH optimization target is selected according to the current NVH optimization target, and the range extender is controlled to operate at the selected optimized operating point to achieve the NVH zonal control in the vehicle.

[0044] In one embodiment of the present application, according to different NVH optimization targets and the noise data of multiple areas in the vehicle at each initial operating point, multi-objective optimization of the total vehicle interior noise data is performed, including: establishing a multi-objective optimization mathematical model of the total vehicle interior noise data based on the noise data of multiple areas; respectively allocating weights to the noise data of each area according to different NVH optimization targets to obtain the area noise weight groups corresponding to each NVH optimization target, and the area noise weight groups include the noise weights of each area; through the multi-objective optimization mathematical model, based on the area noise weight group corresponding to an NVH optimization target and the noise data of multiple areas in the vehicle at each initial operating point, the total vehicle interior noise data at each initial operating point is calculated, and based on the calculation results, the set of optimized operating points under this NVH optimization target is determined to obtain the sets of optimized operating points under different NVH optimization targets.

[0045] In this embodiment, taking Figure 2 the areas shown as an example, the noise data collected in the driver's area (Front Left Right, FLR), the co-driver's area (Front Right Right, FRR), the left rear area (Rear Left Right, RLR), and the right rear area (Rear Right Right, RRR) can be respectively represented as P FLR 、P FRR 、P RLR and P RRR . A multi-objective optimization mathematical model of the total vehicle interior noise data is established, and the formula of this multi-objective optimization mathematical model is as follows:

[0046] P = P FLR + P FRR + P RLR + P RRR Equation (1)

[0047] Among them, P is the total in-vehicle noise data, P FLR is the noise data in the driver's area, P FRR is the noise data in the co-driver's area, P RLR is the noise data in the left area of the rear passengers, P RRR is the noise data in the right area of the rear passengers.

[0048] Then, linear weighting is performed on the noise data of the four regions according to different NVH preferences (i.e., NVH optimization objectives). As shown in Table 1, for the NVH optimization objective of the compromise solution, the noise weights of each region can be evenly distributed; for the NVH optimization objective with the best NVH in the driver's area, a higher noise weight can be assigned to the driver's area than to other regions; for the NVH optimization objective with the best NVH in the co-driver's area, a higher noise weight can be assigned to the co-driver's area than to other regions; for the NVH optimization objective with the best NVH in the left rear area, a higher noise weight can be assigned to the left rear area than to other regions; for the NVH optimization objective with the best NVH in the right rear area, a higher noise weight can be assigned to the right rear area than to other regions.

[0049] Table 1

[0050]

[0051] Perform linear weighted multi-objective optimization on the noise data of different regions. The objective function is as follows:

[0052]

[0053] Among them, P is the total in-vehicle noise data, minP is the objective function of the total in-vehicle noise data, P j is the noise data of each region, ω j is the noise weight of each region. For the objective function of the total in-vehicle noise data obtained, modern intelligent optimization algorithms such as linear weighting combined with neural networks and particle optimization algorithms can be used for optimization to obtain an optimal solution corresponding to the weighting scheme, which is the power generation operating point of the range extender for each NVH optimization objective, that is, the optimized operating point under each NVH optimization objective.

[0054] Taking the determination of the set of optimized operating points under the optimal NVH optimization goal for the driving area NVH as an example, the regional noise weight group corresponding to the NVH optimization goal and the noise data of each region at an initial operating point are taken as a set of data, and the regional noise weight group corresponding to the NVH optimization goal and the noise data of each region at another initial operating point are taken as another set of data, and so on, to obtain multiple sets of data. The optimization algorithm is used to substitute each set of data into Equation (2) to calculate the total in-vehicle noise data at each initial operating point, and the optimal solution is obtained according to the magnitude of the total in-vehicle noise data, so as to screen out the optimized operating points from each initial operating point and form the set of optimized operating points under the NVH optimization goal. The set of optimized operating points under each NVH optimization goal can be obtained in the above manner.

[0055] In an embodiment of the present application, after obtaining the set of optimized operating points under different NVH optimization goals, the method includes: performing a subjective driving evaluation of the vehicle NVH based on the set of optimized operating points under different NVH optimization goals to obtain the scoring results of the set of optimized operating points under different NVH optimization goals; if the scoring result of the set of optimized operating points under an NVH optimization goal meets the preset conditions, then performing vehicle calibration on the set of optimized operating points under the NVH optimization goal; if the scoring result of the set of optimized operating points under an NVH optimization goal does not meet the preset conditions, then through multi-objective optimization of the total in-vehicle noise data again, a new set of optimized operating points under the NVH optimization goal is obtained, and through re-performing the subjective driving evaluation of the vehicle NVH, the scoring result of the new set of optimized operating points under the NVH optimization goal is obtained until the scoring result of the new set of optimized operating points under the NVH optimization goal meets the preset conditions, and vehicle calibration is performed on the new set of optimized operating points under the NVH optimization goal; controlling the range extender to operate based on the set of optimized operating points under different NVH optimization goals obtained by vehicle calibration to complete the in-vehicle NVH zonal control.

[0056] In this embodiment, the overall vehicle NVH subjective driving evaluation can be carried out through the debugging of the engineering prototype vehicle, and the optimization working point sets under each NVH optimization target can be further confirmed and optimized. For example, the range extender can be operated on the prototype vehicle in sequence with the optimization working point sets under each NVH optimization target, and professional evaluation personnel can be organized to conduct the NVH subjective driving evaluation. The evaluation contents include abnormal noise, whistling, booming sound, sound quality, speech clarity, etc. According to the feedback of the evaluation personnel, the optimization working point sets under each NVH optimization target are scored, and the scoring results are recorded. The scoring results are compared with the preset conditions (such as the lowest acceptance score, average score requirements, etc.) to determine whether the optimization working point sets under each NVH optimization target meet the requirements. If the scoring result of the optimization working point set under a certain NVH optimization target does not meet the preset conditions, the multi-objective optimization of the in-vehicle total noise data is carried out again, the optimization working point set under the NVH optimization target is regenerated, and the overall vehicle NVH subjective driving evaluation is carried out again to obtain the scoring result again until the scoring result of the optimization working point set under the NVH optimization target meets the preset conditions. After the scoring results of the optimization working point sets under all NVH optimization targets meet the preset conditions, the overall vehicle calibration is carried out on the optimization working point sets under each NVH optimization target whose scoring results meet the preset conditions, including the output power, speed, torque, etc. of the range extender, so that the range extender can operate based on the optimization working point sets under different NVH optimization targets of the overall vehicle calibration to complete the in-vehicle NVH zonal control.

[0057] In an embodiment of the present application, the preset conditions include sub-preset conditions corresponding to the comprehensive NVH optimization target and sub-preset conditions corresponding to each zonal NVH optimization target. Among them, all NVH optimization targets include the comprehensive NVH optimization target and each zonal NVH optimization target; the sub-preset conditions corresponding to the comprehensive NVH optimization target include that in the overall vehicle scores of the optimization working point sets under each NVH optimization target, the overall vehicle score of the optimization working point set under the comprehensive NVH optimization target is the highest, where the scoring result includes the overall vehicle score; the sub-preset conditions corresponding to the zonal NVH optimization target include that the score of the key area of the optimization working point set under the zonal NVH optimization target is higher than the score of this key area of the optimization working point set under the comprehensive NVH optimization target, where the scoring result also includes the scores of each area, and this key area is the area associated with the zonal NVH optimization target.

[0058] In this embodiment, the comprehensive NVH optimization target indicates that the NVH performance of each area is the best on average, that is, the compromise solution in Table 1. The NVH optimization target of each partition includes at least the NVH optimization target of the driver's area, the NVH optimization target of the co-driver's area, the NVH optimization target of the left rear area, and the NVH optimization target of the right rear area. The NVH optimization target of the driver's area indicates that the NVH performance of the driver's area is the best, that is, the best NVH of the driver's area in Table 1. The NVH optimization target of the co-driver's area indicates that the NVH performance of the co-driver's area is the best, that is, the best NVH of the co-driver's area in Table 1. The NVH optimization target of the left rear area indicates that the NVH performance of the left rear area is the best, that is, the best NVH of the left rear area in Table 1. The NVH optimization target of the right rear area indicates that the NVH performance of the right rear area is the best, that is, the best NVH of the right rear area in Table 1. The NVH optimization target of each partition is associated with each area one by one. For example, the NVH optimization target of the driver's area is associated with the driver's area, the NVH optimization target of the co-driver's area is associated with the co-driver's area, the NVH optimization target of the left rear area is associated with the left rear area, and the NVH optimization target of the right rear area is associated with the right rear area. The scoring results of the optimized operating point sets under each NVH optimization target include the vehicle score and the scores of each area. Among them, the vehicle score can be the sum of the scores of each area or the average value of the scores of each area.

[0059] If the vehicle score of the optimized operating point set under the comprehensive NVH optimization target is higher than the vehicle scores of the optimized operating point sets under all partition NVH optimization targets, it is considered that the scoring result of the optimized operating point set under the comprehensive NVH optimization target meets the preset conditions; otherwise, it does not. For each partition NVH optimization target, if in the scoring result of its corresponding optimized operating point set, the score of the area it is associated with is higher than the score of this associated area in the scoring result of the optimized operating point set under the comprehensive NVH optimization target, it is considered that the scoring result of the optimized operating point set under this partition NVH optimization target meets the preset conditions; otherwise, it does not. Taking the NVH optimization target of the driver's area as an example, the driver's area is the area associated with the NVH optimization target of the driver's area. If the driver's area score of the optimized operating point set under the NVH optimization target of the driver's area is higher than the driver's area score of the optimized operating point set under the comprehensive NVH optimization target, it is considered that the scoring result of the optimized operating point set under the NVH optimization target of the driver's area meets the preset conditions; otherwise, it does not.

[0060] In an embodiment of the present application, by re-performing multi-objective optimization on the in-vehicle total noise data, a new set of optimized operating points under the NVH optimization objective is obtained, including: adjusting the weights of the regional noise weight groups corresponding to the NVH optimization objective; through the multi-objective optimization mathematical model, according to the adjusted regional noise weight groups corresponding to the NVH optimization objective and the noise data of multiple regions inside the vehicle at each initial operating point, recalculate the in-vehicle total noise data at each initial operating point, and determine a new set of optimized operating points under the NVH optimization objective based on the recalculation results.

[0061] In this embodiment, when adjusting the weights of the regional noise weight groups corresponding to the NVH optimization objective, if the NVH optimization objective is a zonal NVH optimization objective, the noise weight of the key region can be appropriately increased in the regional noise weights corresponding to the zonal NVH optimization objective, and the noise weights of other regions can be correspondingly decreased. Taking the NVH optimization objective of the driver's area as an example, the noise weight of the driver's area can be appropriately increased in the regional noise weights corresponding to the NVH optimization objective of the driver's area, and the noise weights of other regions can be correspondingly decreased; if the NVH optimization objective is a comprehensive NVH optimization objective, if the score of one region in the set of optimized operating points under the comprehensive NVH optimization objective is the lowest and the score of another region is the highest, the noise weight of the region with the lowest score can be appropriately increased in the regional noise weights corresponding to the comprehensive NVH optimization objective, and the noise weight of the region with the highest score can be correspondingly decreased.

[0062] Please refer to Figure 4 , Figure 4 which is the in-vehicle NVH zonal control optimization flowchart shown in a specific embodiment of the present application. As Figure 4 shown, the in-vehicle NVH zonal control optimization process is as follows:

[0063] 1. Divide the passenger compartment according to the seat distribution of the vehicle model, arrange microphones in each region, conduct a vehicle NVH test in the range-extending mode, and collect the noise data of each region;

[0064] 2. Process the collected noise data of each region inside the vehicle, establish a multi-objective optimization mathematical model for the in-vehicle total noise data, and perform linear weighted multi-objective optimization on the noise data of different regions according to the in-vehicle zones;

[0065] 3. According to different NVH preferences, assign weights to the objective functions and perform multi-objective optimization analysis to obtain a set of optimized operating points corresponding to each NVH preference;

[0066] 4. Conduct a vehicle NVH subjective driving evaluation to obtain the scoring results of the set of optimized operating points corresponding to each NVH preference;

[0067] 5. Judge the scoring results of the optimized operating point sets corresponding to each NVH preference. If the comprehensive NVH performance of each region is the best in the scoring results of the optimized operating point set corresponding to the compromise solution, then calibrate the vehicle with the optimized operating point set corresponding to the compromise solution. Otherwise, adjust the weight distribution corresponding to the compromise solution, and repeat the adjustment steps 3 and 4 until the comprehensive NVH performance of each region is the best in the scoring results of the optimized operating point set corresponding to the compromise solution, and then calibrate the vehicle with the optimized operating point set corresponding to the compromise solution. If in the scoring results of the optimized operating point set corresponding to the partitioned NVH optimization target, the NVH performance of the key region (i.e., the score of the key region) is improved by 10% compared with the NVH performance of the key region in the scoring results of the optimized operating point set corresponding to the compromise solution, then calibrate the vehicle with the optimized operating point set corresponding to the partitioned NVH optimization target. Otherwise, adjust the weight distribution corresponding to the partitioned NVH optimization target, and repeat the adjustment steps 3 and 4 until the NVH performance of the key region is improved by 10% compared with the NVH performance of the key region in the scoring results of the optimized operating point set corresponding to the compromise solution in the scoring results of the optimized operating point set corresponding to the partitioned NVH optimization target, and then calibrate the vehicle with the optimized operating point set corresponding to the partitioned NVH optimization target.

[0068] For the detailed process of the specific embodiments of this application, please refer to the descriptions in the foregoing various embodiments, and details will not be repeated here. Without adding hardware devices, the technical solution provided by the specific embodiments of this application can adjust the NVH performance of different regions in the vehicle only by optimizing the operating points of the range extender and running the range extender based on different operating points, taking into account both the cost and performance attributes, and can improve the NVH level in the range extender mode to meet the NVH requirements of people in different seats at different times.

[0069] In an embodiment of this application, after obtaining the optimized operating point sets under different NVH optimization targets, the method further includes: collecting in-vehicle image data, and identifying the people in the in-vehicle image data to obtain the positions and physiological characteristics of each person; determining the current NVH optimization target from multiple NVH optimization targets according to the positions and physiological characteristics of each person; controlling the range extender to run based on the optimized operating point set under the current NVH optimization target to complete the in-vehicle NVH zonal control.

[0070] In this embodiment, in-vehicle image data can be collected through an in-vehicle camera, and target detection can be performed on the people in the in-vehicle image data to obtain the positions and categories of each person. The category represents the physiological characteristics of the person, including at least one of age characteristics, body characteristics, etc. Physiological characteristic conditions for people in need of care, such as the elderly, children, pregnant women, etc., can be preset as preset physiological characteristics. The preset physiological characteristics can specifically include at least one of a preset age characteristic, a preset body characteristic, etc. If the physiological characteristics of a person meet the preset physiological characteristics, specifically including that the age characteristic in the physiological characteristics of the person meets the preset age characteristic in the preset physiological characteristics, or the body characteristic in the physiological characteristics of the person meets the preset body characteristic in the preset physiological characteristics, then the position of the person is matched with the position ranges corresponding to each area to determine the area where the person is located, and the partition NVH optimization target associated with the area where the person is located is used as the current NVH optimization target. If the physiological characteristics of at least two people both meet the preset physiological characteristics, then the position of any person whose physiological characteristics meet the preset physiological characteristics is matched with the position ranges corresponding to each area to determine the area where the person is located, and the partition NVH optimization target associated with the area where the person is located is used as the current NVH optimization target. If the physiological characteristics of all people do not meet the preset physiological characteristics, then the current NVH optimization target is determined from multiple NVH optimization targets according to the total number of people. Specifically, under the condition that the total number of people is equal to 1, the NVH optimization target of the driving area is used as the current NVH optimization target, and under the condition that the total number of people is greater than 1, the comprehensive NVH optimization target is used as the current NVH optimization target. After determining the current NVH optimization target, a range extender operation instruction is generated based on the optimization operating points in the optimization operating point set under the current NVH optimization target, and the range extender is controlled to operate through the range extender operation instruction to complete in-vehicle NVH partition control.

[0071] In another embodiment of the present application, after obtaining the optimization operating point sets under different NVH optimization targets, the method further includes: displaying multiple NVH optimization targets to receive an NVH optimization target selection message from the user; determining the current NVH optimization target from multiple NVH optimization targets according to the NVH optimization target selection message of the user; controlling the range extender to operate based on the optimization operating point set under the current NVH optimization target to complete in-vehicle NVH partition control.

[0072] In this embodiment, multiple NVH optimization targets can be displayed through display devices such as the in-vehicle central control screen and the intelligent rearview mirror for the user to select NVH optimization targets according to their own needs. The vehicle-mounted system determines the current NVH optimization target from multiple NVH optimization targets based on the NVH optimization target selection message fed back by the display device, generates a range extender operation instruction based on the optimization working points in the optimization working point set under the current NVH optimization target, controls the operation of the range extender through the range extender operation instruction, and completes the in-vehicle NVH zonal control.

[0073] Please refer to Figure 5 , Figure 5 which is a block diagram of a vehicle NVH zonal control system shown in an exemplary embodiment of the present application.

[0074] As Figure 5 shown, the exemplary vehicle NVH zonal control system includes: a data acquisition module 510 for acquiring noise data of multiple areas inside the vehicle at each initial working point in the vehicle's NVH test, where the vehicle's NVH test is carried out based on each initial working point in the initial working point set of the range extender; an information processing module 520 for performing multi-objective optimization of the total in-vehicle noise data according to different NVH optimization targets and the noise data of multiple areas inside the vehicle at each initial working point to obtain an optimization working point set under different NVH optimization targets; and a control module 530 for controlling the operation of the range extender through a range extender operation instruction to complete the in-vehicle NVH zonal control, where the range extender operation instruction is generated based on the optimization working point set under different NVH optimization targets.

[0075] In an embodiment of the present application, the data acquisition module 510 may include noise acquisition sensors arranged in each area inside the vehicle, and the data acquisition module 510 may also be a hardware device for collecting data from the noise acquisition sensors. The information processing module 520 may be a microprocessor or chip such as an MCU (Microcontroller Unit) or an ECU (Electronic Control Unit), or a server. The control module 530 may be an MCU or a drive chip of the range extender. The information processing module 520 may be configured at the vehicle end, the vehicle enterprise end, or the cloud end, and no limitation is made here.

[0076] Please refer to Figure 6 , Figure 6 is Figure 5 a schematic structural diagram of the control module 530 in the shown embodiment in an exemplary embodiment. As Figure 6As shown in the figure, the control module 530 includes a command receiving unit 531, a command judging unit 532, an extender control unit 533, and an execution unit 534. Among them, the command receiving unit 531 is used to monitor the vehicle occupants in real time and identify the positions and physiological characteristics of each person from the real-time collected in-vehicle image data; the command judging unit 532 is used to judge whether the physiological characteristics of the above-mentioned person reach the trigger condition, that is, whether the physiological characteristics of the person meet the preset physiological characteristics. After reaching the condition, the current NVH optimization target is determined according to the position of the person whose physiological characteristics reach the trigger condition, and a signal is sent to the extender control unit 533; the extender control unit 533 is used to control the extender in real time and send a control command to the execution unit 534 according to the set of optimized operating points under the current NVH optimization target; the execution unit 534 is responsible for executing the above control command to ensure that the state of the extender is switched immediately.

[0077] It should be noted that the vehicle NVH partition control system provided in the above embodiment and the vehicle NVH partition control method provided in the above embodiment belong to the same concept. The specific ways in which each module and unit perform operations have been described in detail in the method embodiment, and will not be repeated here. In practical applications, the vehicle NVH partition control system provided in the above embodiment can, according to needs, allocate the above functions to different functional modules, that is, divide the internal structure of the system into different functional modules to complete all or part of the functions described above. This is not limited here either.

[0078] This embodiment also provides an electronic device, including: one or more processors; a storage device for storing one or more programs, when the one or more programs are executed by the one or more processors, enabling the electronic device to implement the vehicle NVH partition control methods provided in the above various embodiments.

[0079] Please refer to Figure 7 , Figure 7 which is a schematic structural diagram of an electronic device shown in an exemplary embodiment of the present application. It should be noted that Figure 7 the electronic device 700 shown is only an example and should not bring any limitations to the functions and usage scope of the embodiments of the present application.

[0080] As Figure 7 shown, the electronic device 700 includes a processor 701, a memory 702, and a communication bus 703; the communication bus 703 is used to connect the processor 701 and the memory 702; the processor 701 is used to execute the computer program stored in the memory 702 to implement one or more methods as in the above embodiments.

[0081] This embodiment also provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor of the computer, the computer is enabled to execute the vehicle NVH partition control method as described above. The computer-readable storage medium may be included in the electronic device described in the above embodiment, or may exist alone without being assembled into the electronic device.

[0082] This embodiment also provides a computer program product or a computer program. The computer program product or the computer program includes computer instructions, and the computer instructions are stored in a computer-readable storage medium. A processor of a computer device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions, so that the computer device executes the vehicle NVH partition control method provided in each of the above embodiments.

[0083] The electronic device provided in this embodiment includes a processor, a memory, a transceiver, and a communication interface. The memory and the communication interface are connected to the processor and the transceiver and complete communication with each other. The memory is used to store a computer program, the communication interface is used for communication, and the processor and the transceiver are used to run the computer program to enable the electronic device to execute each step of the above method.

[0084] In this embodiment, the memory may include a random access memory (Random Access Memory, abbreviated as RAM), and may also include a non-volatile memory, such as at least one disk memory.

[0085] The above-mentioned processor may be a general-purpose processor, including a central processing unit (Central Processing Unit, abbreviated as CPU), a network processor (Network Processor, abbreviated as NP), etc.; it may also be a digital signal processor (Digital Signal Processing, abbreviated as DSP), an application specific integrated circuit (Application Specific Integrated Circuit, abbreviated as ASIC), a field programmable gate array (Field-Programmable Gate Array, abbreviated as FPGA), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components.

[0086] For the computer-readable storage medium in this embodiment, those of ordinary skill in the art can understand that all or part of the steps for implementing the above method embodiments can be completed by hardware related to a computer program. The aforementioned computer program can be stored in a computer-readable storage medium. When the program is executed, it performs the steps including those of the above method embodiments; and the aforementioned storage medium includes various media such as ROM (Read Only Memory), RAM (Random Access Memory), magnetic disks, or optical discs that can store program codes.

[0087] The above embodiments are only used to exemplarily illustrate the principles and effects of the present application, rather than to limit the present application. Any person familiar with this technology can modify or change the above embodiments without departing from the spirit and scope of the present application. Therefore, all equivalent modifications or changes completed by those of ordinary skill in the art in the technical field without departing from the spirit and technical ideas disclosed by the present application should still be covered by the claims of the present application.

Claims

1. A vehicle NVH zoning control method, characterized in that: The method comprises: Acquire an initial operating point set of the range extender, wherein the initial operating point set includes a plurality of initial operating points; Performing a vehicle NVH test based on each of the initial working points to collect noise data of multiple areas in the vehicle at each of the initial working points; According to different NVH optimization targets and the noise data of the multiple areas in the vehicle at each of the initial working points, multi-objective optimization of the total noise data in the vehicle is performed to obtain a set of optimized working points under the different NVH optimization targets, so that the range extender can operate based on the set of optimized working points under the different NVH optimization targets to complete the NVH zoning control in the vehicle.

2. The vehicle NVH zoning control method according to claim 1, characterized in that: Get the initial operating point set of the range extender, including: A first working point set of the range extender is obtained by a range extender unit energy consumption bench test, and a second working point set of the range extender is obtained by a range extender unit vibration noise bench test; The first working point set and the second working point set are merged, and simulation is performed according to the merged working point set to obtain a simulation result; Based on the simulation result, the range extender operating frequency avoidance points are screened out from the fused operating point set to obtain the initial operating point set.

3. The vehicle NVH zoning control method according to claim 1, characterized in that: According to different NVH optimization targets and the noise data of the multiple areas in the vehicle at each of the initial working points, multi-target optimization of the total noise data in the vehicle is performed, including: Establishing a multi-objective optimization mathematical model for total noise data in the vehicle based on the noise data of the multiple areas; According to the different NVH optimization targets, weights are assigned to the noise data of each of the regions to obtain a regional noise weight group corresponding to each of the NVH optimization targets, wherein the regional noise weight group includes the noise weights of each of the regions; Through the multi-objective optimization mathematical model, according to the regional noise weight group corresponding to the NVH optimization target and the noise data of the multiple areas in the vehicle at each initial working point, the total noise data in the vehicle at each initial working point is calculated, and the optimized working point set under the NVH optimization target is determined based on the calculation results to obtain the optimized working point set under the different NVH optimization targets.

4. The vehicle NVH zoning control method according to claim 3, characterized in that: After obtaining the optimized working point set under the different NVH optimization objectives, the method further includes: Collecting in-vehicle image data, and identifying persons in the in-vehicle image data to obtain the position and physiological characteristics of each person; Determining a current NVH optimization target from the plurality of NVH optimization targets according to the position and physiological characteristics of each of the personnel; The range extender is controlled to operate based on the optimized operating point set under the current NVH optimization target to complete the NVH zoning control in the vehicle.

5. The vehicle NVH zoning control method according to claim 3, characterized in that: After obtaining the optimized working point set under the different NVH optimization objectives, the method includes: Based on the optimized working point sets under the different NVH optimization targets, a subjective driving evaluation of the whole vehicle NVH is performed to obtain a scoring result of the optimized working point sets under the different NVH optimization targets; If the scoring result of the optimized working point set under the NVH optimization target meets the preset condition, the optimized working point set under the NVH optimization target is calibrated for the whole vehicle; If the scoring result of the optimized working point set under the NVH optimization target does not meet the preset condition, a new optimized working point set under the NVH optimization target is obtained by re-performing the multi-objective optimization of the total noise data in the vehicle, and the scoring result of the new optimized working point set under the NVH optimization target is obtained by re-performing the whole vehicle NVH subjective driving evaluation, until the scoring result of the new optimized working point set under the NVH optimization target meets the preset condition, and the new optimized working point set under the NVH optimization target is calibrated for the whole vehicle; The range extender is controlled to operate based on a set of optimized operating points under the different NVH optimization targets calibrated for the whole vehicle, thereby completing the NVH zoning control in the vehicle.

6. The vehicle NVH zoning control method according to claim 5, characterized in that: By re-performing multi-objective optimization of the total noise data in the vehicle, a new set of optimized working points under the NVH optimization objective is obtained, including: Adjusting the weight of the regional noise weight group corresponding to the NVH optimization target; Through the multi-objective optimization mathematical model, according to the adjusted regional noise weight group corresponding to the NVH optimization target and the noise data of the multiple areas in the vehicle at each initial working point, the total noise data in the vehicle at each initial working point is recalculated, and a new set of optimized working points under the NVH optimization target is determined based on the recalculation results.

7. The vehicle NVH zoning control method according to claim 5, characterized in that: The preset conditions include sub-preset conditions corresponding to the comprehensive NVH optimization target and sub-preset conditions corresponding to each partition NVH optimization target, wherein all the NVH optimization targets include the comprehensive NVH optimization target and each partition NVH optimization target; The sub-preset condition corresponding to the comprehensive NVH optimization target includes that, among the vehicle scores of the optimized working point sets under each of the NVH optimization targets, the vehicle score of the optimized working point set under the comprehensive NVH optimization target is the highest, wherein the scoring result includes the vehicle score; The sub-preset conditions corresponding to the partitioned NVH optimization target include that the score of the key area of ​​the optimized working point set under the partitioned NVH optimization target is higher than the score of the key area of ​​the optimized working point set under the comprehensive NVH optimization target, wherein the scoring result also includes the score of each of the areas, and the key area is the area associated with the partitioned NVH optimization target.

8. A vehicle NVH zone control system, characterized in that: The system comprises: A data acquisition module, used to collect noise data of multiple areas in the vehicle at each initial working point in the whole vehicle NVH test, wherein the whole vehicle NVH test is performed based on each of the initial working points in the initial working point set of the range extender; An information processing module, configured to perform multi-objective optimization of the total noise data in the vehicle according to different NVH optimization targets and the noise data of the multiple areas in the vehicle at each of the initial working points, so as to obtain a set of optimized working points under the different NVH optimization targets; A control module is used to control the operation of the range extender through a range extender operation instruction to complete the NVH zoning control in the vehicle, wherein the range extender operation instruction is generated based on the optimized working point set under the different NVH optimization objectives.

9. An electronic device, characterized in that: The electronic device comprises: one or more processors; A storage device for storing one or more programs, which, when executed by the one or more processors, enables the electronic device to implement the vehicle NVH zoning control method as described in any one of claims 1-7.

10. A computer-readable storage medium, characterized in that: A computer program is stored thereon, and when the computer program is executed by a processor of a computer, the computer is caused to execute the vehicle NVH zone control method as described in any one of claims 1-7.

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