Size optimization method and device of transverse stabilizer bar, transverse stabilizer bar and vehicle

Abstract

The invention belongs to the technical field of stabilizer bar size optimization, and particularly relates to a transverse stabilizer bar size optimization method and device, a transverse stabilizer bar and a vehicle. The optimizable area is divided into different components according to positions, so that simplification of the stabilizer bar assembly model is completed; determining an optimization variable, a constraint condition and an optimization target, and establishing an optimization model; wherein the inner diameter and the outer diameter of each component are optimization variables; sensitivity analysis is carried out based on the simplified stabilizer bar assembly model, and optimization variables in the optimization model are adjusted according to an analysis result; and loop optimization is carried out, and optimal design parameters are found in combination with an optimization target and constraint conditions. Through sensitivity analysis, variables which have great influence on the optimization target can be quickly determined, and the optimization efficiency is greatly improved. And the design quality and performance of the transverse stabilizer bar are effectively improved.

Description

Background Art

[0002] The lateral stabilizer bar of a commercial vehicle (hereinafter referred to as the stabilizer bar) plays a role in reducing the roll of the vehicle body and improving the ride comfort and driving comfort when the vehicle is running. When the vehicle body only moves vertically and the deformations of the two-side suspensions are equal, the stabilizer bar rotates freely in the sleeve, and at this time, the stabilizer bar does not work; when the deformations of the two-side suspensions are unequal and the vehicle body tilts laterally relative to the road surface, the stabilizer bar twists at this time, and the internal torque of the bar body twist prevents the deformation of the suspension spring, thereby achieving the purpose of lateral stability.

[0003] With the continuous development of the economic situation, under the background of energy conservation and emission reduction and rising oil prices, the lightweighting of the whole commercial vehicle has become one of the important research topics for major vehicle manufacturers. Through simulation optimization technology, the design parameters of the stabilizer bar structure are adjusted, so as to achieve the optimal distribution of the stabilizer bar structure on the basis of meeting the vehicle design and user requirements, and further meet the requirements of lightweighting.

[0004] To meet the stiffness requirements, some stabilizer bars are set as solid structures, resulting in increased weight and cost; to meet the lightweight requirements, some stabilizer bars are optimized into hollow structures. However, on the one hand, the optimization methods mostly rely on experience and tests, which are time-consuming and laborious, and the results obtained may not be ideal. On the other hand, the inner and outer diameters of the optimized structure are the same, and the reasonable distribution of materials is not achieved. Summary of the Invention

[0005] Aiming at the problem that the inner and outer diameters of the existing optimized structure of the stabilizer bar are the same and the reasonable distribution of materials is not achieved, the present invention provides a method and device for optimizing the size of a lateral stabilizer bar, a lateral stabilizer bar and a vehicle.

[0006] In a first aspect, the technical solution of the present invention provides a method for optimizing the size of a lateral stabilizer bar, including the following steps: S1: Determine the optimizable region of the stabilizer bar assembly model, and divide the optimizable region into different components according to the position to complete the simplification of the stabilizer bar assembly model; S2: Determine the optimization variables, constraint conditions and optimization objectives, and establish an optimization model; wherein, the inner diameter and outer diameter of each component are optimization variables; S3: Perform sensitivity analysis based on the simplified stabilizer bar assembly model, and adjust the optimization variables in the optimization model according to the analysis results; S4: Combine the optimization objectives and constraint conditions to judge whether the adjusted optimization variables are the optimal design parameters; If not, execute S5; if so, execute S6; S5: After updating the simplified stabilizer bar assembly model based on the adjusted optimization variables, perform sensitivity analysis, and adjust the optimization variables in the optimization model according to the analysis results; execute S4; S6: Output the optimal design parameters.

[0007] As a further limitation of the technical solution of the present invention, the steps of determining the optimizable region of the stabilizer bar assembly model and dividing the optimizable region into different components according to the position to complete the simplification of the stabilizer bar assembly model include: Determine that the arm, bending part, and rod body of the stabilizer bar assembly model are optimizable regions, divide the arm, bending part, and rod body into several segments respectively, and define them as beam elements with different attributes. Simplify the solid beam into a hollow beam by setting the inner diameter parameter.

[0008] As a further limitation of the technical solution of the present invention, before the steps of determining the optimization variables, constraint conditions, and optimization objectives and establishing the optimization model, it includes: Establish a finite element model of the stabilizer bar based on the simplified model for static strength analysis.

[0009] As a further limitation of the technical solution of the present invention, the steps of establishing a finite element model of the stabilizer bar based on the simplified model for static strength analysis include: Simplify the optimizable region of the stabilizer bar into beam elements with an outer diameter of the first threshold, perform mesh division on the stabilizer bar, simplify the bushing at the support part into a bushing kinematic pair connection and endow it with physical bushing stiffness; Obtain the coordinate position of the center of the bushing at the support part, constrain the center of the bushing, apply reverse vertical forces at the centers of the bushings at both ends, perform static strength analysis, and calculate the vertical displacement amounts at both ends.

[0010] As a further limitation of the technical solution of the present invention, the steps of determining the optimization variables, constraint conditions, and optimization objectives and establishing the optimization model include: Taking the vertical displacement amounts at the ends calculated by the static strength analysis and the maximum stress of the stabilizer bar as constraint conditions, taking the inner diameter and outer diameter of each component beam element as optimization variables, and establishing an optimization model with the minimum mass of the stabilizer bar as the optimization objective; The optimization model is as follows:

[0011] Among them, M is the mass, , are the vertical displacements at the left and right ends of the stabilizer bar, , are the vertical displacements at both ends in the initial state, is the maximum stress of the stabilizer bar model, is the maximum stress of the initial model, and are independent variables, is the outer diameter of the i-th beam element, is the inner diameter of the beam element, is the minimum value of the outer diameter of the beam element, is the maximum value of the outer diameter of the beam element, is the minimum value of the inner diameter of the beam element, is the minimum value of the inner diameter of the beam element, o.j is the optimization objective, s.t is the constraint condition, and d.v is the optimization variable.

[0012] As a further limitation of the technical solution of the present invention, the steps of performing sensitivity analysis based on the simplified stabilizer bar assembly model and adjusting the optimization variables in the optimization model according to the analysis results include: Based on the simplified stabilizer bar assembly model, select the inner diameter and outer diameter of each beam element as optimization variables, perform sensitivity analysis with the initial values of the optimization variables, and calculate the sensitivities of the selected variables to the roll stiffness and weight; the roll stiffness is characterized by the vertical displacement of the end, define the sensitivity output file format through the OUTPUT card, and select the variables higher than the upper limit of the set threshold as optimization variables; As a further limitation of the technical solution of the present invention, the steps of outputting the optimal design parameters include: Determine the inner and outer diameter values of each beam element according to the optimization results and production process requirements.

[0013] As a further limitation of the technical solution of the present invention, the method further includes: Perform strength check and fatigue check on the optimized stabilizer bar.

[0014] In a second aspect, the technical solution of the present invention further provides a size optimization device for a lateral stabilizer bar, including a stabilizer bar model simplification processing module, an optimization model establishment module, and an optimization processing module; The stabilizer bar model simplification processing module is used to determine the optimizable area of the stabilizer bar assembly model and divide the optimizable area into different components according to the position to complete the simplification of the stabilizer bar assembly model; The optimization model establishment module is used to determine the optimization variables, constraint conditions, and optimization objectives, and establish an optimization model; among them, the inner diameter and outer diameter of each component are the optimization variables; The optimization processing module is used to perform sensitivity analysis based on the simplified stabilizer bar assembly model and adjust the optimization variables in the optimization model according to the analysis results; combine the optimization objectives and constraint conditions to judge whether the adjusted optimization variables are the optimal design parameters; if not, update the simplified stabilizer bar assembly model based on the adjusted optimization variables, perform sensitivity analysis, and adjust the optimization variables in the optimization model according to the analysis results; if so, output the optimal design parameters.

[0015] As a further limitation of the technical solution of the present invention, the stabilizer bar model simplification processing module is specifically used to determine the arm part, the bending part and the rod body of the stabilizer bar assembly model as the optimizable regions, divide the arm part, the bending part and the rod body into several segments respectively, and define them as beam elements with different attributes. The solid beam is simplified into a hollow beam by setting the inner diameter parameter.

[0016] As a further limitation of the technical solution of the present invention, the device further includes a static strength analysis processing module, which is used to establish a finite element model of the stabilizer bar according to the simplified model for static strength analysis.

[0017] As a further limitation of the technical solution of the present invention, the static strength analysis processing module is specifically used to simplify the optimizable region of the stabilizer bar into beam elements with an outer diameter of the first threshold, perform mesh division on the stabilizer bar, simplify the bushings at the support parts into bushing kinematic pair connections and endow them with physical bushing stiffness; obtain the coordinate positions of the centers of the bushings at the support parts, and constrain the centers of the bushings, and apply reverse vertical forces at the centers of the bushings at both ends to perform static strength analysis, and calculate the vertical displacement amounts at both ends.

[0018] As a further limitation of the technical solution of the present invention, the optimization model establishment module is specifically used to establish an optimization model with the vertical displacement amounts at the ends obtained by static strength analysis and the maximum stress of the stabilizer bar as the constraint conditions, the inner diameters and outer diameters of the beam elements of each component as the optimization variables, and the minimum mass of the stabilizer bar as the optimization goal; The optimization model is as follows:

[0019] Where M is the mass, 、 are the vertical displacements at the left and right ends of the stabilizer bar, 、 are the vertical displacements at both ends in the initial state, is the maximum stress of the stabilizer bar model, is the maximum stress of the initial model, and are independent variables, and are the outer diameter of the i-th beam element, is the inner diameter of the beam element, is the minimum value of the outer diameter of the beam element, is the maximum value of the outer diameter of the beam element, is the minimum value of the inner diameter of the beam element, is the minimum value of the inner diameter of the beam element, o.j is the optimization goal, s.t is the constraint condition, and d.v is the optimization variable.

[0020] As a further limitation of the technical solution of the present invention, the optimization processing module is specifically configured to select the inner diameter and outer diameter of each beam element as optimization variables based on the simplified stabilizer bar assembly model, perform sensitivity analysis with the initial values of the optimization variables, and calculate the sensitivities of the selected variables to the roll stiffness and weight; the roll stiffness is characterized by the vertical displacement at the end, define the sensitivity output file format through the OUTPUT card, select the variables higher than the upper limit of the set threshold as optimization variables, and determine the inner and outer diameter values of each beam element according to the optimization results and production process requirements.

[0021] As a further limitation of the technical solution of the present invention, the device further includes a checking module for performing strength checking and fatigue checking on the optimized stabilizer bar.

[0022] In a third aspect, a lateral stabilizer bar, wherein the lateral stabilizer bar is the lateral stabilizer bar optimized and designed by the method described in the first aspect.

[0023] In a fourth aspect, a vehicle, wherein the vehicle includes the lateral stabilizer bar described in the third aspect.

[0024] The beneficial effect of the technical solution of the present invention is that by determining the arm part, bending part and rod body of the stabilizer bar assembly model as optimizable regions, and dividing them into several segments respectively, which are defined as beam elements with different attributes, and at the same time simplifying the solid beam into a hollow beam by setting the inner diameter parameter, this simplification method not only accurately locates the optimizable regions, but also effectively reduces the complexity of the model through reasonable element division and beam body simplification, while ensuring the calculation accuracy, significantly improving the efficiency of subsequent optimization calculations.

[0025] Taking the inner diameter and outer diameter of each component as optimization variables, the key dimensions of the stabilizer bar can be accurately adjusted and optimized. At the same time, before establishing the optimization model, a finite element model of the stabilizer bar is first established based on the simplified model for static strength analysis. This makes the establishment of the optimization model based on the actual strength analysis results, ensuring that the optimization process not only considers the adjustment of size variables but also fully takes into account the static strength performance requirements of the stabilizer bar. It guarantees that the optimized design parameters not only meet the size optimization objectives but also conform to the strength requirements in actual engineering, improving the scientificity and practicality of the optimization model. When performing static strength analysis, the optimizable area of the stabilizer bar is simplified into beam elements with an outer diameter of the first threshold value, and the stabilizer bar is meshed. This processing method helps to more accurately simulate the actual mechanical properties of the stabilizer bar. At the same time, the bushing at the support part is simplified into a bushing kinematic pair connection and given the physical bushing stiffness, and the center coordinate position of the bushing at the support part is obtained and constrained, and reverse vertical forces are applied at the center of the bushing at both ends. These operations highly simulate the force condition of the stabilizer bar under actual working conditions, so that the vertical displacement at both ends can be accurately calculated, providing reliable data support for the subsequent establishment of the optimization model and the optimization process.

[0026] Based on the simplified stabilizer bar assembly model, a sensitivity analysis is carried out, and the optimization variables in the optimization model are adjusted according to the analysis results, and then cyclic optimization is performed. Combining the optimization objectives and constraints, the optimal design parameters are found. Through this sensitivity analysis process, the variables that have a greater impact on the optimization objectives can be quickly determined, and targeted adjustments can be made, greatly improving the optimization efficiency. At the same time, the cyclic optimization process can continuously approach the optimal solution, ensuring that the design parameters found are the optimal results under the given constraints, effectively improving the design quality and performance of the lateral stabilizer bar. Description of the Drawings

[0027] To more clearly illustrate the technical solution of the present invention, the drawings required in the description will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0028] Figure 1 It is a schematic flow chart of the method provided by the embodiment of the present invention.

[0029] Figure 2 They are the names of each area of the stabilizer bar.

[0030] Figure 3 It is the optimization model of the stabilizer bar.

[0031] Figure 4 They are the results of the sensitivity analysis.

[0032] Figure 5 These are the optimization results of the dimensions of each region of the stabilizer bar.

[0033] Figure 6 This is the structural diagram of the optimized stabilizer bar.

[0034] Figure 7 This is the stress nephogram of the original stabilizer bar.

[0035] Figure 8 This is the stress nephogram of the optimized stabilizer bar.

[0036] Figure 9 This is the displacement nephogram of the optimized stabilizer bar.

[0037] Figure 10 This is the S-N curve of the stabilizer bar material.

[0038] Figure 11 This is the fatigue damage nephogram of the original solid bar.

[0039] Figure 12 This is the fatigue damage nephogram of the stabilizer bar with variable cross-section. Specific implementation manners

[0040] To make the objectives, features, and advantages of the present invention more obvious and understandable, the technical solutions in the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the specific embodiments of the present invention. Obviously, the embodiments described below are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments in this patent, all other embodiments obtained by those of ordinary skill in the art without making creative efforts shall fall within the scope of protection of this patent.

[0041] As Figure 1 shown, the embodiments of the present invention provide a method for optimizing the dimensions of a lateral stabilizer bar, including the following steps: S1: Determine the optimizable regions of the stabilizer bar assembly model, and divide the optimizable regions into different components according to their positions to complete the simplification of the stabilizer bar assembly model; It should be noted that in the overall structure of the anti-roll bar, not all parts are suitable for size optimization. Therefore, it is first necessary to clarify which areas have the potential and necessity for optimization. This may involve structural analysis and functional evaluation of the anti-roll bar assembly model to identify parts that have a greater impact on performance and allow for size adjustment. For example, the arms, bending parts, and rod body of the anti-roll bar are usually the main load-bearing parts, and changes in their sizes may have an important impact on the performance of the anti-roll bar. Therefore, these parts may be identified as areas for optimization. Dividing the optimizable areas into different components according to their positions helps to target the treatment and optimization of different parts. Defining these components as beam elements with different attributes is an effective simplification method because beam elements can better simulate the mechanical behavior of the structure. By setting the inner diameter parameter to simplify the solid beam into a hollow beam, on the one hand, the computational effort can be reduced, on the other hand, the impact of the hollow structure on the performance of the anti-roll bar can be explored, and at the same time, more possibilities are provided for the selection of subsequent optimization variables. For example, for a complex anti-roll bar structure, dividing its arm into multiple small segments, each small segment can be used as an independent beam element, and different attributes can be assigned according to the actual structure and load-bearing characteristics, providing a more operable and analyzable model for the subsequent optimization process.

[0042] S2: Determine the optimization variables, constraint conditions, and optimization objectives, and establish an optimization model; among them, the inner diameter and outer diameter of each component are the optimization variables; In this step, the inner diameter and outer diameter of each component are selected as the optimization variables because they are the key dimensional parameters affecting the performance of the anti-roll bar. Changes in the inner diameter and outer diameter will directly affect performance indicators such as the stiffness, strength, and mass of the anti-roll bar. For example, increasing the inner diameter or decreasing the outer diameter will change the moment of inertia of the beam cross-section, thereby affecting its flexural stiffness and ultimately the deformation of the anti-roll bar under load. By adjusting these variables, size combinations that meet different performance requirements can be found.

[0043] The constraint conditions are restrictions on the optimization variables to ensure that the optimization results are feasible in actual engineering. These constraints may come from multiple aspects. For example, the allowable stress limit of the material, that is, to ensure that the anti-roll bar will not fail due to excessive stress during operation; there are also restrictions on the processing technology, such as the manufacturing precision range of the size, the minimum and maximum size limits, etc. For example, due to the precision of the manufacturing equipment and the limitations of the processing technology, the inner diameter and outer diameter of the anti-roll bar cannot be less than a certain minimum value or greater than a certain maximum value, and the stress it bears cannot exceed the yield strength of the material. These are all specific manifestations of the constraint conditions.

[0044] Defining the optimization goal is the key to establishing the optimization model, which determines the direction of optimization. The optimization goal can be multi-faceted. For example, to achieve lightweight design, the stabilizer bar should be the lightest while meeting the strength and stiffness requirements; or to improve the handling stability of the vehicle, the deformation of the stabilizer bar during operation should be minimized. Depending on different optimization goals, the established optimization models will vary. Based on the determined optimization variables, constraints, and optimization goals, appropriate optimization algorithms and theories are used to establish a mathematical model. This model will reflect the mathematical relationship among the optimization variables, constraints, and optimization goals, so as to find the optimal dimension combination through mathematical calculations and solutions. For example, gradient-based optimization algorithms, genetic algorithms, etc. can be used to express the relationship between the mechanical properties and dimensions of the stabilizer bar with mathematical formulas, forming a mathematical model of an optimization problem, providing a basis for subsequent solutions.

[0045] S3: Conduct a sensitivity analysis based on the simplified stabilizer bar assembly model, and adjust the optimization variables in the optimization model according to the analysis results; S4: Combine the optimization goal and constraints to determine whether the adjusted optimization variables are the optimal design parameters; If not, execute S5; if so, execute S6; S5: After updating the simplified stabilizer bar assembly model based on the adjusted optimization variables, conduct a sensitivity analysis, and adjust the optimization variables in the optimization model according to the analysis results; execute S4; S6: Output the optimal design parameters.

[0046] Conducting a sensitivity analysis based on the simplified stabilizer bar assembly model aims to understand the influence degree of optimization variables on the optimization goal. By changing the values of one or more optimization variables and observing the impact on the objective function, it can be determined which variables are the most sensitive to the objective function. For example, by changing the inner diameter or outer diameter of a certain component and calculating the changes in the performance indicators (such as deformation, stress, etc.) of the stabilizer bar, it can be analyzed how much impact the slight changes in the inner diameter or outer diameter will have on the performance. This helps to identify the key variables among numerous optimization variables, providing a basis for subsequent adjustments.

[0047] According to the results of sensitivity analysis, the optimization variables in the optimization model are adjusted. For the optimization variables that have a greater impact on the objective function, key attention can be paid and more refined adjustments can be made to more effectively change the optimization objective. For example, if it is found that the change in the outer diameter of a certain component has a greater impact on the deformation of the stabilizer bar, in the subsequent optimization process, the outer diameter can be preferentially adjusted to effectively control the deformation. The cyclic optimization is an iterative process. By continuously adjusting the optimization variables, recalculating the performance indicators, and checking whether the constraint conditions and optimization objectives are met. In each iteration, the optimization variables are modified according to the current results, gradually approaching the optimal solution. For example, in each cycle, according to the rules of the optimization algorithm, the values of the optimization variables are changed, and then these new variable values are substituted into the mechanical analysis model of the stabilizer bar to calculate the performance indicators, and compare whether the constraint conditions are met and it is closer to the optimization objective. If not, continue to adjust the optimization variables until the optimal design parameters are found. In this process, multiple iterations may be required. Finally, on the premise of meeting the constraint conditions, the optimization objective is optimized, the optimal combination of stabilizer bar sizes is found, and the performance of the stabilizer bar is optimized.

[0048] In some embodiments, the steps of determining the optimizable region of the stabilizer bar assembly model and dividing the optimizable region into different components according to the position to complete the simplification of the stabilizer bar assembly model include: Determine that the arm, bending part, and rod body of the stabilizer bar assembly model are optimizable regions, divide the arm, bending part, and rod body into several segments respectively, and define them as beam elements with different attributes. The solid beam is simplified to a hollow beam by setting the inner diameter parameter.

[0049] Different regions of the stabilizer bar such as Figure 2 As shown, the end part A needs to be flattened and drilled. To ensure sufficient volume for processing, it is set as a non-optimizable region here. The other optimizable regions, the arm B, the bending part C, and the rod body part E, are divided into several segments respectively, and defined as beams with different attributes. The solid beam is simplified to a hollow beam by setting a smaller inner diameter parameter, which is convenient for subsequent size optimization.

[0050] In some embodiments, before the steps of determining the optimization variables, constraint conditions, and optimization objectives and establishing the optimization model include: S2’: Establish a finite element model of the stabilizer bar based on the simplified model for static strength analysis. Specifically, the optimizable region of the stabilizer bar is simplified to beam elements with an outer diameter of the first threshold, the stabilizer bar is meshed, the bushing at the support part D is simplified to a bushing kinematic pair connection and given the physical bushing stiffness; obtain the coordinate position of the center of the bushing at the support part D, and constrain the center of the bushing. Apply reverse vertical forces at the centers of the bushings at both end parts A, perform static strength analysis, and calculate the vertical displacement amounts at both ends.

[0051] Further, it should be noted that the optimizable region of the stabilizer bar is simplified to a beam with an outer diameter of 60 mm. The stabilizer bar is meshed, and the bushings at the supporting parts are simplified to be connected by bushing kinematic pairs and given the actual bushing stiffness; the coordinate positions of the centers of the bushings at the supporting parts are obtained, and the centers of the bushings are constrained. Vertical forces in opposite directions are applied to the centers of the bushings at both ends, and a static strength analysis is carried out. The simplified model of the stabilizer bar is as Figure 3 shown, and the calculated vertical displacement amounts at both ends are 30.4 mm and -30.4 mm respectively.

[0052] In some embodiments, the steps of determining the optimization variables, constraint conditions, and optimization objectives and establishing an optimization model include: The optimization variables are the inner diameter and outer diameter of each component beam. The optimization range of the outer diameter is 40 - 80 mm, and the optimization range of the inner diameter is 20 - 50 mm. Here, due to process limitations, the inner diameter of the stabilizer bar remains consistent, that is, the inner diameters of each component are set as the same variable. Considering the consistency of the suspension interface and bushing model, the outer diameter at the supporting part remains unchanged and maintains the original size of 60 mm. To ensure the torsional stiffness and fatigue performance of the stabilizer bar, the vertical displacement at the end and the maximum stress of the stabilizer bar obtained from the initial static strength calculation are used as constraint conditions, and the minimum mass of the stabilizer bar is used as the optimization objective. That is, an optimization model is established with the vertical displacement at the end and the maximum stress of the stabilizer bar obtained from the static strength analysis as constraint conditions, the inner diameter and outer diameter of each component beam element as optimization variables, and the minimum mass of the stabilizer bar as the optimization objective; The optimization model is as follows:

[0053] where M is the mass, and are the vertical displacements at the left and right ends of the stabilizer bar, and are the vertical displacements at both ends in the initial state, is the maximum stress of the stabilizer bar model, is the maximum stress of the initial model, and are independent variables, and are the outer diameter of the i-th beam element, is the inner diameter of the beam element, is the minimum value of the outer diameter of the beam element, is the maximum value of the outer diameter of the beam element, is the minimum value of the inner diameter of the beam element, is the minimum value of the inner diameter of the beam element, o.j is the optimization objective, s.t is the constraint condition, and d.v is the optimization variable.

[0054] It should be noted here that for the convenience of production, the optimization variables are set to discrete values with a span of 0.5 mm.

[0055] In some embodiments, the steps of performing sensitivity analysis based on a simplified stabilizer bar assembly model and adjusting the optimization variables in the optimization model according to the analysis results include: Based on the simplified stabilizer bar assembly model, select the inner diameter and outer diameter of each beam element as design variables, and calculate the sensitivity of the selected variables to the roll stiffness and weight; the roll stiffness is characterized by the vertical displacement of the end, define the sensitivity output file format through the OUTPUT card, define the maximum number of iterations in the optimization control, perform sensitivity analysis with the initial value, and select the variables higher than the set upper threshold as optimization variables.

[0056] In the embodiments of the present invention, the inner and outer diameter values of each beam element are determined according to the optimization results and production process requirements.

[0057] Based on the simplified stabilizer bar assembly model, select the inner diameter and outer diameter of each beam as design variables, and calculate the sensitivity of the selected variables to the roll stiffness (characterized by the vertical displacement of the end) and weight. Define the sensitivity output file format through the OUTPUT card, define the maximum number of iterations as 0 in the optimization control, and perform the analysis with the initial value. The sensitivity value can intuitively reflect the influence degree and trend of the optimization variables on the performance. The sensitivity analysis results are as Figure 4 shown. Select the variables higher than the threshold upper limit as optimization variables. With the minimum mass as the optimization goal, and the roll stiffness of the stabilizer bar not less than the initial value and the maximum stress not greater than 10% of the initial value as optimization constraints, the inner diameter change range of the stabilizer bar is 20 - 50 mm, define the variable change range as 20 - 50, with a step size of 0.5, the outer diameter change range of the stabilizer bar is 40 - 80 mm, define the variable change range as 40 - 80, with a step size of 0.5, and perform the optimization calculation. Determine the inner and outer diameter values of each section according to the optimization results and production process requirements, as Figure 5 shown.

[0058] In some embodiments, the method further includes: performing strength check and fatigue check on the optimized stabilizer bar.

[0059] Use finite element software to perform mesh division on the structure of the optimized stabilizer bar, where the structure of the optimized stabilizer bar is as Figure 6 shown, the simplification and constraint methods of the bushing are the same as the above steps, the finite element analysis results of the original stabilizer bar are as Figure 7 shown, and the finite element analysis results of the optimized stabilizer bar are as Figure 8 and Figure 9 shown. The vertical displacement of the end of the optimized stabilizer bar is 28 mm, with a 5.4% increase in stiffness compared to the initial structure, meeting the usage requirements of the entire vehicle. The material parameters of the stabilizer bar used in the fatigue calculation are shown in Table 1.

[0060] Table 1

[0061] The S-N curve of the material is as Figure 10 shown, and the results of the fatigue analysis are as Figure 11 and Figure 12 shown. Table 2 is a comparison table between the traditional solid bar and the hollow bar optimized by the method provided in this application.

[0062] Table 2

[0063] As can be seen from Table 2, without significant changes in the stiffness and fatigue performance of the stabilizer bar, the weight of the optimized variable-section stabilizer bar is 35.8 kg, with a 14% weight reduction compared to the original solid bar. The structures of the ends and the supporting parts remain unchanged before and after optimization, and there is no need to change the interfaces between the stabilizer bar and the axle and the frame, as well as the corresponding bushing models, realizing the structural optimization within a limited space and facilitating the subsequent use of this lightweight stabilizer bar and the verification of the entire vehicle.

[0064] The embodiment of the present invention also provides a device for optimizing the size of a lateral stabilizer bar, including a stabilizer bar model simplification processing module, an optimization model establishment module, and an optimization processing module; The stabilizer bar model simplification processing module is used to determine the optimizable region of the stabilizer bar assembly model and divide the optimizable region into different components according to the position to complete the simplification of the stabilizer bar assembly model; The optimization model establishment module is used to determine the optimization variables, constraint conditions, and optimization objectives, and establish an optimization model; among them, the inner diameter and outer diameter of each component are the optimization variables; The optimization processing module is used to perform sensitivity analysis based on the simplified stabilizer bar assembly model and adjust the optimization variables in the optimization model according to the analysis results; combine the optimization objectives and constraint conditions to determine whether the adjusted optimization variables are the optimal design parameters; if not, update the simplified stabilizer bar assembly model based on the adjusted optimization variables, then perform sensitivity analysis, and adjust the optimization variables in the optimization model according to the analysis results; if so, output the optimal design parameters.

[0065] In some embodiments, the stabilizer bar model simplification processing module is specifically used to determine that the arm part, the bending part, and the rod body of the stabilizer bar assembly model are the optimizable regions, divide the arm part, the bending part, and the rod body into several segments respectively, and each is defined as a beam element with different attributes, and simplify the solid beam into a hollow beam by setting the inner diameter parameter.

[0066] In some embodiments, the device further includes a static strength analysis processing module, which is used to establish a finite element model of the stabilizer bar for static strength analysis according to the simplified model. Specifically, the optimizable region of the stabilizer bar is simplified into beam elements with an outer diameter of a first threshold, the stabilizer bar is meshed, the bushings at the supporting parts are simplified into bushing kinematic pair connections and given physical bushing stiffness; the coordinate positions of the centers of the bushings at the supporting parts are obtained, the centers of the bushings are constrained, and reverse vertical forces are applied at the centers of the bushings at both ends to perform static strength analysis and calculate the vertical displacement amounts at both ends.

[0067] In some embodiments, the optimization model establishment module is specifically used to establish an optimization model with the vertical displacement amounts at the ends obtained by static strength analysis and the maximum stress of the stabilizer bar as constraint conditions, the inner diameters and outer diameters of the beam elements of each component as optimization variables, and the minimum mass of the stabilizer bar as the optimization target; The optimization model is as follows:

[0068] where M is the mass, 、 are the vertical displacements at the left and right ends of the stabilizer bar, 、 are the vertical displacements at both ends in the initial state, is the maximum stress of the stabilizer bar model, is the maximum stress of the initial model, and are independent variables, and are the outer diameter of the i-th beam element, is the inner diameter of the beam element, is the minimum value of the outer diameter of the beam element, is the maximum value of the outer diameter of the beam element, is the minimum value of the inner diameter of the beam element, is the minimum value of the inner diameter of the beam element, o.j is the optimization target, s.t is the constraint condition, and d.v is the optimization variable.

[0069] In some embodiments, the optimization processing module is specifically used to, based on the simplified stabilizer bar assembly model, select the inner diameters and outer diameters of each beam element as optimization variables, perform sensitivity analysis with the initial values of the optimization variables, and calculate the sensitivities of the selected variables to the roll stiffness and weight; the roll stiffness is characterized by the vertical displacement amount at the end, the sensitivity output file format is defined through the OUTPUT card, and the variables higher than the set threshold upper limit are selected as optimization variables; the inner and outer diameter values of each beam element are determined according to the optimization results and production process requirements.

[0070] In some embodiments, the device further includes a verification module for performing strength verification and fatigue verification on the optimized stabilizer bar.

[0071] An embodiment of the present invention further provides a lateral stabilizer bar, which is the lateral stabilizer bar optimized and designed by the method described in the above embodiment.

[0072] An embodiment of the present invention further provides a vehicle, which includes the lateral stabilizer bar as described in the above embodiment.

[0073] An embodiment of the present invention further provides an electronic device, which includes: a processor, a communication interface, a memory, and a communication bus. Among them, the processor, the communication interface, and the memory complete mutual communication through the communication bus. The communication bus can be used for information transmission between the electronic device and the sensor. The processor can call the logical instructions in the memory to execute the following method: S1: Determine the optimizable region of the stabilizer bar assembly model, and divide the optimizable region into different components according to the position to complete the simplification of the stabilizer bar assembly model; S2: Determine the optimization variables, constraint conditions, and optimization objectives, and establish an optimization model; among them, the inner diameter and outer diameter of each component are the optimization variables; S3: Perform sensitivity analysis based on the simplified stabilizer bar assembly model, and adjust the optimization variables in the optimization model according to the analysis results; S4: Combine the optimization objectives and constraint conditions to determine whether the adjusted optimization variables are the optimal design parameters; if not, execute S5; if so, execute S6; S5: After updating the simplified stabilizer bar assembly model based on the adjusted optimization variables, perform sensitivity analysis, and adjust the optimization variables in the optimization model according to the analysis results; execute S4; S6: Output the optimal design parameters.

[0074] In addition, when the logical instructions in the above-mentioned memory are implemented in the form of a software functional unit and sold or used as an independent product, they can be stored in a computer-readable storage medium. Based on such an understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or a part of this technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in various embodiments of the present invention. The foregoing storage medium includes: USB flash drives, mobile hard disks, read-only memories (ROM, Read-Only Memory), random access memories (RAM, Random Access Memory), magnetic disks, or optical disks, etc., which can store program codes.

[0075] An embodiment of the present invention provides a non-transitory computer-readable storage medium. The non-transitory computer-readable storage medium stores computer instructions, and the computer instructions cause the computer to execute the method provided in the above method embodiment, for example, including: S1: Determine the optimizable region of the stabilizer bar assembly model, and divide the optimizable region into different components according to the position to complete the simplification of the stabilizer bar assembly model; S2: Determine the optimization variables, constraint conditions, and optimization objectives, and establish an optimization model; wherein, the inner diameter and outer diameter of each component are the optimization variables; S3: Perform sensitivity analysis based on the simplified stabilizer bar assembly model, and adjust the optimization variables in the optimization model according to the analysis results; S4: Combine the optimization objectives and constraint conditions to determine whether the adjusted optimization variables are the optimal design parameters; if not, execute S5; if so, execute S6; S5: After updating the simplified stabilizer bar assembly model based on the adjusted optimization variables, perform sensitivity analysis, and adjust the optimization variables in the optimization model according to the analysis results; execute S4; S6: Output the optimal design parameters.

[0076] It should be understood that the magnitudes of the sequence numbers of the steps in the above embodiments do not mean the order of execution. The execution order of each process should be determined according to its function and internal logic, and should not constitute any limitation to the implementation process of the embodiments of the present invention.

[0077] An embodiment of the device for optimizing the size of the stabilizer bar provided by the embodiment of the present invention belongs to the same inventive concept as the method for optimizing the size of the stabilizer bar in the above embodiments. The details not described in detail in the embodiment of the device for optimizing the size of the stabilizer bar can be referred to the embodiment of the method for optimizing the size of the stabilizer bar.

[0078] The device for optimizing the size of the stabilizer bar combines the units and algorithm steps of each example described in the embodiments disclosed herein, and can be implemented by electronic hardware, computer software, or a combination of the two. To clearly illustrate the interchangeability of hardware and software, the composition and steps of each example have been generally described according to their functions in the above description. Whether these functions are executed in a hardware or software manner depends on the specific application and design constraints of the technical solution. A person skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered to exceed the scope of the present invention.

[0079] Those skilled in the art of the relevant technical field can understand that various aspects of the method for optimizing the size of the stabilizer bar can be implemented as a system, method, or program product. Therefore, various aspects of the present disclosure can be specifically implemented in the following forms, namely: a complete hardware implementation, a complete software implementation (including firmware, microcode, etc.), or an implementation combining hardware and software aspects, which can be collectively referred to as "circuit", "module", or "system" here.

[0080] The foregoing description of the disclosed embodiments enables those skilled in the art to practice or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A method for optimizing the dimensions of a stabilizer bar, characterized in that, It includes the following steps: S1: Determine the optimizable regions of the stabilizer bar assembly model, and divide the optimizable regions into different components according to their positions to complete the simplification of the stabilizer bar assembly model; S2: Determine the optimization variables, constraint conditions, and optimization objectives, and establish an optimization model; among them, the inner diameters and outer diameters of each component are the optimization variables; S3: Conduct a sensitivity analysis based on the simplified stabilizer bar assembly model, and adjust the optimization variables in the optimization model according to the analysis results; S4: Combine the optimization objectives and constraint conditions to determine whether the adjusted optimization variables are the optimal design parameters; If not, execute S5; if so, execute S6; S5: After updating the simplified stabilizer bar assembly model based on the adjusted optimization variables, conduct a sensitivity analysis, and adjust the optimization variables in the optimization model according to the analysis results; execute S4; S6: Output the optimal design parameters.

2. The method for optimizing the size of the anti-roll bar according to claim 1, wherein, S1 specifically includes: Determine that the arms, bending parts, and rod bodies of the stabilizer bar assembly model are optimizable regions, divide the arms, bending parts, and rod bodies into several segments respectively, and define them as beam elements with different attributes. Simplify the solid beam into a hollow beam by setting the inner diameter parameter.

3. The method for optimizing the dimensions of the anti-roll bar according to claim 2, characterized in that, Before S2, it also includes: S2': Establish a finite element model of the stabilizer bar based on the simplified model for static strength analysis.

4. The method for optimizing the size of the anti-roll bar according to claim 3, characterized in that, S2' specifically includes: Simplify the optimizable regions of the stabilizer bar into beam elements with an outer diameter of the first threshold, conduct mesh division on the stabilizer bar, simplify the bushings at the support parts into bushing kinematic pairs and endow them with physical bushing stiffness; Obtain the coordinate positions of the centers of the bushings at the support parts, constrain the centers of the bushings, apply reverse vertical forces at the centers of the bushings at both ends, conduct static strength analysis, and calculate the vertical displacement amounts at both ends.

5. The method for optimizing the dimensions of the anti-roll bar according to claim 4, characterized in that, S2 specifically includes: Taking the vertical displacement amounts at the ends calculated by static strength analysis and the maximum stress of the stabilizer bar as constraint conditions, taking the inner diameters and outer diameters of the beam elements of each component as optimization variables, and establishing an optimization model with the minimum mass of the stabilizer bar as the optimization objective; The optimization model is as follows: Among them, M is the mass, , are the vertical displacements of the left and right ends of the stabilizer bar, , are the vertical displacements of the two ends in the initial state, is the maximum stress of the stabilizer bar model, is the maximum stress of the initial model, and are independent variables, and is the outer diameter of the i-th beam element, is the inner diameter of the beam element, is the minimum value of the outer diameter of the beam element, is the maximum value of the outer diameter of the beam element, is the minimum value of the inner diameter of the beam element, is the minimum value of the inner diameter of the beam element, o.j is the optimization objective, s.t is the constraint condition, and d.v is the optimization variable.

6. The method for optimizing the size of the anti-roll bar according to claim 5, characterized in that S3 specifically includes: Based on the simplified stabilizer bar assembly model, select the inner diameters and outer diameters of each beam element as optimization variables, conduct a sensitivity analysis with the initial values of the optimization variables, and calculate the sensitivities of the selected variables to the roll stiffness and weight; the roll stiffness is characterized by the vertical displacement amount at the end, define the sensitivity output file format through the OUTPUT card, and select the variables higher than the set threshold upper limit as optimization variables.

7. The method for optimizing the size of the anti-roll bar according to any one of claims 1-6, characterized in that, S6 specifically includes: Determine the inner and outer diameter values of each beam element according to the optimization results and production process requirements.

8. An apparatus for optimizing the dimensions of a stabilizer bar, characterized in that, It includes a stabilizer bar model simplification processing module, an optimization model establishment module, and an optimization processing module; The stabilizer bar model simplification processing module is used to determine the optimizable regions of the stabilizer bar assembly model, and divide the optimizable regions into different components according to their positions to complete the simplification of the stabilizer bar assembly model; The optimization model establishment module is used to determine the optimization variables, constraint conditions, and optimization objectives, and establish an optimization model; among them, the inner diameters and outer diameters of each component are the optimization variables; An optimization processing module is configured to perform sensitivity analysis based on a simplified stabilizer bar assembly model, and adjust the optimization variables in the optimization model according to the analysis results; determine whether the adjusted optimization variables are the optimal design parameters in combination with the optimization objectives and constraints; if not, update the simplified stabilizer bar assembly model based on the adjusted optimization variables, then perform sensitivity analysis, and adjust the optimization variables in the optimization model according to the analysis results; if so, output the optimal design parameters.

9. A lateral stabilizer bar, characterized in that, The lateral stabilizer bar is the lateral stabilizer bar optimized and designed by the method according to any one of claims 1-7.

10. A vehicle, characterized in that, The vehicle includes the lateral stabilizer bar according to claim 9.

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