Method and equipment for evaluating influence degree of electric control system on vehicle load

Abstract

The invention provides a method and equipment for evaluating the influence degree of an electronic control system on a vehicle load. The method comprises the following steps: respectively establishing a vehicle multi-body dynamic model which does not comprise the electronic control system and a target electronic control system model corresponding to a target electronic control system; connecting the vehicle multi-body dynamics model and the target electronic control system model to generate a joint simulation model; based on a preset strength test working condition and a preset durability test working condition, respectively performing simulation test on the vehicle multi-body dynamics model and the joint simulation model, and respectively acquiring load data and total pseudo damage data of target parts in the vehicle multi-body dynamics model and the joint simulation model; and according to the difference of the load data of the target parts in the vehicle multi-body dynamics model and the joint simulation model and the difference of the total pseudo damage data, determining whether the target parts need to be re-evaluated and designed. The method can accurately simulate and evaluate the influence of the structure change caused by the vehicle-mounted electronic control system or the vehicle structure in order to match the electronic control system on the vehicle load, thereby recognizing the development design risk in advance, and reducing the cost of later optimization and modification.

Description

Technical Field

[0001] The present application relates to the technical field of vehicle simulation testing, and in particular to a method, device, equipment and medium for evaluating the degree of influence of an electronic control system on a vehicle load. Background Art

[0002] With the rapid development of automotive technology and the continuous upgrading of the industry, on-board electronic control systems are gradually becoming an indispensable component of modern automobiles. With technological advancements, many cutting-edge electronic control systems have been introduced into automotive design, such as multi-chamber air springs, brake-by-wire systems (EMB), steer-by-wire systems (SBW), continuously adjustable dampers (CDC), active suspension systems (ASS), and rear-wheel steering (RWS).

[0003] These electronic control systems not only enhance vehicle performance but also directly influence vehicle-ground interaction by inputting active forces or torque. This influence is often overlooked in traditional vehicle design assessments, but it actually has a significant impact on vehicle component loads, which in turn affects the vehicle's structural strength and service life. Currently, there is a lack of systematic assessment methods to determine the extent of the impact of these electronic control systems on vehicle loads. This impact is often not fully considered during the early stages of vehicle design, potentially leading to design risks. If these issues are discovered late in vehicle development, the cost of optimization and modification will be very high, not only in terms of financial costs but also in terms of time and resources consumed. Summary of the Invention

[0004] The present application provides a method, device, equipment and medium for evaluating the degree of influence of an electronic control system on a vehicle load, which can solve the technical problem in the prior art that the degree of influence of an electronic control system on a vehicle load cannot be evaluated, which may lead to insufficient early vehicle structural design.

[0005] In a first aspect, an embodiment of the present application provides a method for evaluating the degree of influence of an electronic control system on a vehicle load. The method for evaluating the degree of influence of an electronic control system on a vehicle load includes: Establishing a vehicle multi-body dynamics model excluding the electronic control system and a target electronic control system model corresponding to the target electronic control system respectively; connecting the vehicle multi-body dynamics model and the target electronic control system model to generate a joint simulation model; Based on preset strength test conditions and durability test conditions, respectively, simulation tests are performed on the vehicle multi-body dynamics model and the joint simulation model, and load data and total pseudo-damage data of target components in the vehicle multi-body dynamics model and the joint simulation model are respectively obtained; According to the difference in load data and total pseudo damage data of the target component in the vehicle multi-body dynamics model and the joint simulation model, it is determined whether the design of the target component needs to be re-evaluated.

[0006] In conjunction with the first aspect, in one embodiment, establishing the target electronic control system model includes: Establish a corresponding Simulink model according to the control logic of the target electronic control system; Among them, the signal class of the control logic in the Simulink model includes the input and output signal class and the validity class of the input and output signals. The validity of the input signals and output signals related to the functions of the target electronic control system is set to valid, and the validity of the input signals and output signals for the interaction between the target electronic control system and other electronic control systems is set to invalid.

[0007] In conjunction with the first aspect, in one embodiment, establishing the vehicle multi-body dynamics model includes: Setting a signal collector and an actuator in the vehicle multi-body dynamics model; Among them, the signal collector is used to collect the input signal of the target electronic control system model in the vehicle multi-body dynamics model and input it into the target control system model, and the actuator is used to receive the output signal of the target control system model and perform corresponding actions according to the output signal.

[0008] In conjunction with the first aspect, in one embodiment, connecting the vehicle multi-body dynamics model and the target electronic control system model to generate a joint simulation model includes: Creating a control system multi-body model corresponding to the target electronic control system in the vehicle multi-body dynamics model; Exporting the Simulink model as an FMU file, and importing the FMU file into the control system multi-body model; The signals of the signal collector and the actuator in the vehicle multi-body dynamics model are connected to the control system multi-body model after the FMU file is imported according to the functions and definitions to generate the joint simulation model.

[0009] In conjunction with the first aspect, in one embodiment, after generating the joint simulation model and before performing simulation testing on the joint simulation model based on the strength test condition and the durability test condition, the method further includes: Performing simulation tests on the joint simulation model based on a preset first verification working condition and a preset second verification working condition respectively; The first verification condition includes running in a figure-8 manner according to a preset steering wheel steering condition at different vehicle speeds, and the second verification condition includes a forward double lane change condition at a target speed; Under each verification condition, obtain the rack movement direction and displacement of the rear-wheel steering system and the front-wheel steering system; If, under the first working condition, the racks of the rear-wheel steering system and the front-wheel steering system move in opposite directions and their displacements reach the target displacement, and, under the second working condition, the racks of the rear-wheel steering system and the front-wheel steering system move in the same direction and their displacements are less than a preset threshold, then it is determined that the joint simulation model has been constructed successfully; Otherwise, it is determined that the joint simulation model is unqualified.

[0010] In conjunction with the first aspect, in one embodiment, the performing simulation tests on the vehicle multibody dynamics model and the co-simulation model based on preset strength test conditions and durability test conditions, and obtaining load data and total pseudo-damage data of target components in the vehicle multibody dynamics model and the co-simulation model, respectively, includes: Performing a simulation test on the vehicle multi-body dynamics model based on the strength test condition to obtain first load data of the target component in the multi-body dynamics model; Performing a simulation test on the joint simulation model based on the strength test condition to obtain second load data of the target component in the joint simulation model; Performing a simulation test on the vehicle multi-body dynamics model based on the durability test condition to obtain first total pseudo damage data of the target component in the multi-body dynamics model; A simulation test is performed on the joint simulation model based on the durability test condition to obtain second total pseudo damage data of the target component in the joint simulation model.

[0011] In conjunction with the first aspect, in one embodiment, determining whether the design of the target component needs to be re-evaluated based on a difference in load data and total pseudo-damage data of the target component in the vehicle multi-body dynamics model and the co-simulation model includes: calculating a difference between the first load data and the second load data, and a ratio between the first total pseudo damage data and the second total pseudo damage data; If the difference is greater than a preset difference threshold or the ratio is greater than a preset ratio threshold, it is determined that the design of the target component needs to be re-evaluated.

[0012] In a second aspect, an embodiment of the present application provides a device for evaluating the degree of influence of an electronic control system on a vehicle load, the device comprising: Establishing a vehicle multi-body dynamics model excluding the electronic control system and a target electronic control system model corresponding to the target electronic control system respectively; connecting the vehicle multi-body dynamics model and the target electronic control system model to generate a joint simulation model; Based on preset strength test conditions and durability test conditions, respectively, simulation tests are performed on the vehicle multi-body dynamics model and the joint simulation model, and load data and total pseudo-damage data of target components in the vehicle multi-body dynamics model and the joint simulation model are respectively obtained; According to the difference in load data and total pseudo damage data of the target component in the vehicle multi-body dynamics model and the joint simulation model, it is determined whether the design of the target component needs to be re-evaluated.

[0013] In a third aspect, an embodiment of the present application provides a device for evaluating the degree of influence of an electronic control system on a vehicle load, wherein the device for evaluating the degree of influence of an electronic control system on a vehicle load comprises a processor, a memory, and a program for evaluating the degree of influence of an electronic control system on a vehicle load stored in the memory and executable by the processor, wherein when the program for evaluating the degree of influence of an electronic control system on a vehicle load is executed by the processor, the steps of the method for evaluating the degree of influence of an electronic control system on a vehicle load as described in any one of the above items are implemented.

[0014] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, characterized in that a program for evaluating the degree of influence of an electronic control system on a vehicle load is stored on the computer-readable storage medium, wherein when the program for evaluating the degree of influence of an electronic control system on a vehicle load is executed by a processor, the steps of the method for evaluating the degree of influence of an electronic control system on a vehicle load as described in any one of the above items are implemented.

[0015] The beneficial effects of the technical solutions provided in the embodiments of the present application include: The invention relates to a method for realizing a vehicle multibody dynamics model excluding an electronic control system and a target electronic control system model corresponding to a target electronic control system. The method connects the vehicle multibody dynamics model and the target electronic control system model to generate a joint simulation model. The method performs simulation tests on the vehicle multibody dynamics model and the joint simulation model based on preset strength test conditions and durability test conditions, and obtains load data and total pseudo-damage data of target components in the vehicle multibody dynamics model and the joint simulation model respectively. The method also determines whether the design of the target component needs to be re-evaluated based on the difference in load data and total pseudo-damage data of the target components in the vehicle multibody dynamics model and the joint simulation model. The method solves the problem in the related art of failing to consider the impact of the electronic control system on the vehicle structural strength and durability. The method also ... problem in the related art of failing to consider the problem in the related art of failing to consider the problem in the related art of failing to consider the problem in the related art of failing to consider the problem in the related art of failing to consider the problem in the related art of failing to consider the problem in the related art of failing to consider the problem in the related art of failing to consider the problem in the related art BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 This is a flow chart of an embodiment of a method for evaluating the degree of influence of an electronic control system on a vehicle load according to the present application; Figure 2 This is a functional module diagram of an embodiment of a device for evaluating the degree of influence of an electronic control system on a vehicle load according to the present application; Figure 3 Schematic diagram of the hardware structure of the device for evaluating the degree of influence of the electronic control system on the vehicle load involved in the embodiment of the present application. DETAILED DESCRIPTION

[0017] In order to enable those skilled in the art to better understand the present invention, the following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0018] In order to make the objectives, technical solutions and advantages of this application clearer, the implementation methods of this application will be further described in detail below with reference to the accompanying drawings.

[0019] In a first aspect, an embodiment of the present application provides a method for evaluating the degree of influence of an electronic control system on a vehicle load.

[0020] In one embodiment, referring to Figure 1 , Figure 1 This is a flow chart of the first embodiment of the method for evaluating the impact of the electronic control system on vehicle load. Figure 1 As shown in Figure 2, the evaluation methods for the impact of the electronic control system on vehicle load include: Step S101 : establishing a vehicle multi-body dynamics model excluding an electronic control system and a target electronic control system model corresponding to the target electronic control system.

[0021] In one embodiment, establishing the target electronic control system model includes: establishing a corresponding Simulink model according to the control logic of the target electronic control system; wherein the signal class of the control logic in the Simulink model includes an input and output signal class and an input and output signal validity class, setting the validity of input signals and output signals related to the functions of the target electronic control system to valid, and setting the validity of input signals and output signals for the interaction between the target electronic control system and other electronic control systems to invalid.

[0022] It is worth noting that the purpose of incorporating the target electronic control system model in this embodiment is to perform simulation testing to obtain loads. To improve simulation test efficiency and reduce simulation cycles, the electronic control system model can be simplified. This simplification ensures that the simulation results can accurately reproduce the actual control logic of the target electronic control system while minimizing the number of input and output signals in the model.

[0023] A vehicle can be equipped with a variety of electronic control systems, including but not limited to: brake-by-wire (EMB), steer-by-wire (SBW), continuously adjustable damping (CDC), active suspension (ASS), and rear-wheel steering (RWS). This embodiment selects a single electronic control system as the target electronic control system for modeling, which helps reduce model complexity and improves the efficiency of subsequent simulation testing. In this embodiment, the rear-wheel steering (RWS) electronic control system is exemplarily selected as the target electronic control system, excluding other electronic control systems such as the CDC shock absorber.

[0024] When building a Simulink model, the input and output signals within the complete control logic of the target electronic control system are divided into two categories: one is the input and output signal class, which directly participates in the control logic, such as vehicle speed, wheel speed, steering angle, brake pressure, etc.; the other is the input and output signal validity class, which indicates whether the output signal is valid. During the model building process, signal determinism must be input, for example, by pre-setting the signal input validity value. This ensures that during the simulation, the signal effectively simulates the control logic of the target electronic control system under actual driving conditions.

[0025] To simplify computational complexity and reduce simulation cycles, this example uses a single control system model, encompassing only the rear-wheel steering electronic control system. Within the model, all interactions with other control systems are disabled, effectively disabling the validity of signals interacting with these other control systems. This strategy simplifies the model and allows the simulation to focus more on evaluating the impact of the rear-wheel steering electronic control system on vehicle loads.

[0026] When other electronic control systems are selected as the target electronic control system, the processing method is consistent with the above method.

[0027] In this embodiment, by integrating a single rear-wheel steering electronic control system and simultaneously disabling its interaction with other electronic control systems, simulation time can be effectively maintained within a controllable range. Experimental calculation results show that when the model is constructed based on the complete control logic without simplification, the simulation time is six times that of the basic vehicle multibody dynamics model without the electronic control system. After simplification, the time is shortened to 3.3 times. This confirms that by rationally simplifying the model, simulation efficiency can be significantly improved while maintaining simulation accuracy. The simplification strategy not only reduces the complexity of the model but also significantly reduces the computational load.

[0028] In one embodiment, establishing the vehicle multi-body dynamics model includes: setting a signal collector and an actuator in the vehicle multi-body dynamics model; wherein the signal collector is used to collect the input signal of the target electronic control system model in the vehicle multi-body dynamics model and input it into the target control system model, and the actuator is used to receive the output signal of the target control system model and perform corresponding actions according to the output signal.

[0029] It is worth noting that when establishing a joint simulation model of the vehicle multi-body dynamics model and the target electronic control system model, it is necessary to first build the corresponding signal collector and actuator in the vehicle multi-body dynamics model to obtain the corresponding signals. The signals collected by the signal collector are used as the input signals of the target electronic control system model, and the actuators perform corresponding actions according to the output signals of the target electronic control system model, thereby realizing accurate simulation of the target electronic control system.

[0030] Taking the target electronic control system as the rear-wheel steering electronic control system as an example, its input signals usually include vehicle speed, wheel speeds of the four wheels, and steering wheel angle, etc. Therefore, a vehicle speed signal collector is set in the vehicle multi-body dynamics model to measure and record the longitudinal vehicle speed; a wheel speed signal collector is set to monitor the rotation speeds of the four wheels; and a steering wheel angle signal collector is set to collect the steering wheel angle.

[0031] The signals collected by these collectors serve as input signals of the rear-wheel steering electronic control system model, which performs logical calculations and then outputs corresponding output signals.

[0032] In this embodiment, the output signal of the rear-wheel steering electronic control system model includes a rack displacement signal. Therefore, an actuator can be created for the rack's displacement degree of freedom kinematic pair in the vehicle's multi-body dynamics model. The actuator's active input is the rack displacement signal, which is calculated using the control logic of the rear-wheel steering electronic control system. Based on the input signal, the rear-wheel steering electronic control system model calculates the required rack displacement signal using the control logic and outputs it to the rack displacement actuator, which then moves the rack to rotate the rear wheels, achieving rear-wheel steering.

[0033] Among them, the signals of the signal collector and actuator in the vehicle multi-body dynamics model are consistent with the units and directions of the signals in the Simulink model.

[0034] Step S102 : connecting the vehicle multi-body dynamics model and the target electronic control system model to generate a joint simulation model.

[0035] In one embodiment, a control system multi-body model corresponding to the target electronic control system is created in the vehicle multi-body dynamics model; the Simulink model is exported as an FMU file, and the FMU file is imported into the control system multi-body model; the signals of the signal collector and actuator in the vehicle multi-body dynamics model are connected to the control system multi-body model after importing the FMU file according to the functions and definitions to generate the joint simulation model.

[0036] It is worth noting that a control system multi-body model corresponding to the target electronic control system is created in the vehicle multi-body dynamics model, that is, the target electronic control system mechanical multi-body model is added to the vehicle mechanical multi-body model. After the FMU file exported from the simulink model is imported into the control system multi-body model, the same number of signals as in the simulink model will be automatically generated in the control system multi-body model. Therefore, the signals corresponding to the signal collector and actuator set in the vehicle multi-body dynamics model need to be the same as the number of signals in the simulink model to ensure that each signal in the target electronic control system has a corresponding signal in the control system multi-body model. The signals of the signal collector and actuator in the vehicle multi-body dynamics model are connected one-to-one with the control system multi-body model after the FMU file is imported according to the function and definition, and the construction of the joint simulation model can be completed.

[0037] Step S103: Based on the preset strength test conditions and durability test conditions, simulation tests are performed on the vehicle multi-body dynamics model and the joint simulation model respectively, and load data and total pseudo-damage data of target components in the vehicle multi-body dynamics model and the joint simulation model are respectively obtained.

[0038] As a preferred embodiment, to ensure that the co-simulation model truly reflects the control of the target electronic control system over the mechanical motion of the vehicle, after generating the co-simulation model and before conducting simulation tests on the co-simulation model based on the strength test condition and the endurance test condition, corresponding verification conditions are established according to the logical definition of the target electronic control system for corresponding verification. Specifically, the following steps are included: The joint simulation model was simulated and tested based on a first and second preset verification condition. The first verification condition included running in a figure-8 manner at different vehicle speeds according to a preset steering wheel steering condition, and the second verification condition included a forward double lane change condition at a target speed.

[0039] Under each verification working condition, the rack movement direction and displacement of the rear-wheel steering system and the front-wheel steering system are obtained; if under the first working condition, the rack movement directions of the rear-wheel steering system and the front-wheel steering system are opposite and the displacement reaches the target displacement, and under the second working condition, the rack movement directions of the rear-wheel steering system and the front-wheel steering system are the same and the displacement is less than a preset threshold, then it is determined that the joint simulation model is constructed qualified; otherwise, it is determined that the joint simulation model is constructed unqualified.

[0040] For example, using rear-wheel steering as an example, the first verification condition involves performing a figure-of-eight maneuver at speeds of 0 kph, ±5 kph (where -5 kph is reverse), and 25 kph, respectively, using a sinusoidal input with a frequency of 0.25 Hz, with positive amplitude indicating the left steering wheel extreme angle and negative amplitude indicating the right steering wheel extreme angle. The second verification condition involves a forward double lane change at 80 kph.

[0041] If, under the first operating condition, the racks of the rear-wheel steering system and the front-wheel steering system move in opposite directions, and the displacements of both the front and rear racks reach the displacement limit of 11mm set by the limit control logic, and under the second operating condition, the racks of the rear-wheel steering system and the front-wheel steering system move in the same direction, and the displacements of both the front and rear racks are less than 2mm, then the co-simulation model is considered qualified. If these conditions are not met, then the co-simulation model is considered unqualified.

[0042] It is worth noting that after determining that the joint simulation model is unqualified, the input and output signals can be adjusted by analyzing the control logic of the target electronic control system. After reproducing the actual control logic of the target electronic control system, the joint simulation model can be built again.

[0043] Furthermore, after determining that the joint simulation model is qualified, the vehicle multi-body dynamics model is simulated and tested based on the strength test condition to obtain the first load data of the target components in the multi-body dynamics model; the joint simulation model is simulated and tested based on the strength test condition to obtain the second load data of the target components in the joint simulation model.

[0044] It is worth noting that the simulation results include all load channels of all components, and the key channels of the target components can be selected as needed for load data comparison and analysis.

[0045] For example, in this embodiment, the strength test condition is the cross-groove misuse condition. VPG simulation test is performed, and the front toe link is selected as the target component and its axial force is selected for analysis. Because the left and right front conditions are symmetrical, only one of them can be selected for analysis. The load data comparison of the front toe link is shown in Table 1: Table 1 Load data of the toe link under the misuse condition of crossing the groove

[0046] As can be seen from Table 1, the axial force of the toelink in the joint simulation model is 15kN greater than the axial force of the toelink in the vehicle multi-body dynamics model. It is worth noting that when simulating the misuse condition of the vehicle passing through the groove in a straight line, the rack displacement actuation signal of the rear-wheel steering electronic control system remains at 0 throughout the simulation time domain, which means that in this specific case, the rear-wheel steering function is not activated. Therefore, this increased load shows that the introduction of the rear-wheel steering electronic control system has a significant impact on the load distribution of the vehicle structure. If this load change is not fully considered during the design stage, the design margin of the components may be insufficient to cope with the additional 15kN load, resulting in large deformation or fracture of the toelink in actual application, which will fail to meet the performance requirements of the vehicle under misuse conditions.

[0047] Furthermore, a simulation test is performed on the vehicle multi-body dynamics model based on the durability test condition to obtain the first total pseudo-damage data of the target components in the multi-body dynamics model; and a simulation test is performed on the joint simulation model based on the durability test condition to obtain the second total pseudo-damage data of the target components in the joint simulation model.

[0048] For example, to comprehensively evaluate the impact of the target electronic control system on vehicle durability loads, this embodiment selected all road conditions defined in the proving ground durability test and performed VPG simulations on these conditions. During the simulation process, axial force data of the left and right toe links of the rear wheel steering gear were collected from the vehicle multi-body dynamics model and the combined simulation model. To improve data accuracy, this data was low-pass filtered at 50Hz to remove high-frequency noise. After each road simulation calculation was completed, the total pseudo-damage of the axial forces of the left and right toe links was summarized as shown in Table 2: Table 2 Total pseudo-damage data of the left and right toe links under durability conditions

[0049] Table 2 shows that in the co-simulation model encompassing all durability test conditions, the total pseudo-damage experienced by the vehicle's left and right toe links increased significantly. Compared to the base vehicle multibody dynamics model, the toe link durability load in the co-simulation model increased five to six times. This significant increase demonstrates that the introduction of the rear-wheel steering electronic control system has a significant impact on vehicle structural durability. Therefore, when designing the toe link, the maximum toe link load value recorded in the co-simulation model's simulation results can be used as a design input. This ensures that the higher loads potentially encountered when equipped with advanced features such as the rear-wheel steering electronic control system are fully considered during vehicle structural and component design, while also accommodating the versatility and adaptability of lower-spec vehicles that may not be equipped with these systems. This comprehensive design consideration ensures that the structural strength and durability of both high- and low-spec vehicles meet user requirements, thereby guaranteeing vehicle performance and reliability throughout their service life.

[0050] Step S104 : determining whether it is necessary to re-evaluate the design of the target component based on the difference in load data and total pseudo damage data of the target component in the vehicle multi-body dynamics model and the joint simulation model.

[0051] Specifically, the difference between the first load data and the second load data, and the ratio of the first total pseudo damage data to the second total pseudo damage data are calculated; if the difference is greater than a preset difference threshold or the ratio is greater than a preset ratio threshold, it is determined that the design of the target component needs to be re-evaluated.

[0052] For example, in this embodiment, the difference threshold is 5Kn. When the load difference exceeds 5kN, it means that the original structural design scheme may not meet the current load conditions. In this case, we need to redesign the vehicle structure design scheme based on the system without rear-wheel steering to ensure that the strength and durability of the structure can adapt to the new load requirements. If you consider borrowing existing component design schemes, you need to evaluate the strength and bearing limits of existing components. This includes checking whether the original design margin is sufficient to cover the load changes caused by the introduction of the rear-wheel steering system. If the design margin is insufficient, design changes are also required to identify potential risks in advance and avoid problems during the actual vehicle testing phase.

[0053] In this embodiment, the ratio threshold is 2 times. For durability evaluation, it is generally believed that if the load-to-total pseudo-damage ratio is within 2 times, the design solution can be considered equivalent and no further evaluation is required. However, if the pseudo-damage ratio exceeds 2 times, this indicates that the design solution needs to be re-calibrated to ensure that its durability meets the requirements. For borrowed component solutions, it is necessary to evaluate them in combination with the durability load limit of the original components to ensure that the original durability test load can cover the load changes introduced by the rear-wheel steering system.

[0054] The method for evaluating the impact of an electronic control system on vehicle load, provided in this application, generates a joint simulation model by establishing and connecting a vehicle multibody dynamics model with a target electronic control system model. The joint simulation model is then simulated and tested using strength and durability test conditions on the vehicle multibody dynamics model and the joint simulation model. This method can more accurately simulate and evaluate the actual impact of the electronic control system on vehicle load. The load data obtained through simulation can more accurately predict and evaluate the impact of the electronic control system on the vehicle's structural strength and durability. Potential structural strength and durability issues can be identified and resolved during the design phase, effectively improving the accuracy and reliability of vehicle design, avoiding costly design changes in the later stages of vehicle development, optimizing the design process, and shortening the development cycle.

[0055] In a second aspect, an embodiment of the present application further provides a device for evaluating the degree of influence of an electronic control system on a vehicle load.

[0056] In one embodiment, referring to Figure 2 , Figure 2 This is a functional module diagram of an embodiment of an evaluation device for the degree of influence of an electronic control system on a vehicle load. Figure 2 As shown, the device for evaluating the influence of the electronic control system on the vehicle load includes: An establishment module, which is used to respectively establish a vehicle multi-body dynamics model excluding an electronic control system and a target electronic control system model corresponding to the target electronic control system; A generation module, configured to connect the vehicle multi-body dynamics model and the target electronic control system model to generate a joint simulation model; a testing module, configured to perform simulation tests on the vehicle multibody dynamics model and the joint simulation model based on preset strength test conditions and durability test conditions, and to obtain load data and total pseudo-damage data of target components in the vehicle multibody dynamics model and the joint simulation model, respectively; An evaluation module is used to determine whether it is necessary to re-evaluate the design of the target component based on the difference in load data and total pseudo damage data of the target component in the vehicle multi-body dynamics model and the joint simulation model.

[0057] Furthermore, in one embodiment, the establishing module is further configured to: Establish a corresponding Simulink model according to the control logic of the target electronic control system; Among them, the signal class of the control logic in the Simulink model includes the input and output signal class and the validity class of the input and output signals. The validity of the input signals and output signals related to the functions of the target electronic control system is set to valid, and the validity of the input signals and output signals for the interaction between the target electronic control system and other electronic control systems is set to invalid.

[0058] Furthermore, in one embodiment, the establishing module is further configured to: Setting a signal collector and an actuator in the vehicle multi-body dynamics model; Among them, the signal collector is used to collect the input signal of the target electronic control system model in the vehicle multi-body dynamics model and input it into the target control system model, and the actuator is used to receive the output signal of the target control system model and perform corresponding actions according to the output signal.

[0059] Furthermore, in one embodiment, the generating module is further configured to: Creating a control system multi-body model corresponding to the target electronic control system in the vehicle multi-body dynamics model; Exporting the Simulink model as an FMU file, and importing the FMU file into the control system multi-body model; The signals of the signal collector and the actuator in the vehicle multi-body dynamics model are connected to the control system multi-body model after the FMU file is imported according to the functions and definitions to generate the joint simulation model.

[0060] Furthermore, in one embodiment, the testing module is further configured to: Performing simulation tests on the joint simulation model based on a preset first verification working condition and a preset second verification working condition respectively; The first verification condition includes running in a figure-8 manner according to a preset steering wheel steering condition at different vehicle speeds, and the second verification condition includes a forward double lane change condition at a target speed; Under each verification condition, obtain the rack movement direction and displacement of the rear-wheel steering system and the front-wheel steering system; If, under the first working condition, the racks of the rear-wheel steering system and the front-wheel steering system move in opposite directions and their displacements reach the target displacement, and, under the second working condition, the racks of the rear-wheel steering system and the front-wheel steering system move in the same direction and their displacements are less than a preset threshold, then it is determined that the joint simulation model has been constructed successfully; Otherwise, it is determined that the joint simulation model is unqualified.

[0061] Furthermore, in one embodiment, the testing module is further configured to: Performing a simulation test on the vehicle multi-body dynamics model based on the strength test condition to obtain first load data of the target component in the multi-body dynamics model; Performing a simulation test on the joint simulation model based on the strength test condition to obtain second load data of the target component in the joint simulation model; Performing a simulation test on the vehicle multi-body dynamics model based on the durability test condition to obtain first total pseudo damage data of the target component in the multi-body dynamics model; A simulation test is performed on the joint simulation model based on the durability test condition to obtain second total pseudo damage data of the target component in the joint simulation model.

[0062] Furthermore, in one embodiment, the testing module is further configured to: calculating a difference between the first load data and the second load data, and a ratio between the first total pseudo damage data and the second total pseudo damage data; If the difference is greater than a preset difference threshold or the ratio is greater than a preset ratio threshold, it is determined that the design of the target component needs to be re-evaluated.

[0063] Among them, the functional implementation of each module in the above-mentioned device for evaluating the degree of influence of the electronic control system on the vehicle load corresponds to the various steps in the embodiment of the method for evaluating the degree of influence of the electronic control system on the vehicle load, and their functions and implementation processes will not be repeated here one by one.

[0064] In a third aspect, an embodiment of the present application provides a device for evaluating the degree of influence of an electronic control system on a vehicle load. The device for evaluating the degree of influence of an electronic control system on a vehicle load may be a personal computer (PC), a laptop computer, a server, or other device with data processing capabilities.

[0065] Reference Figure 3 , Figure 3 This is a hardware structure diagram of the device for evaluating the degree of influence of the electronic control system on vehicle load involved in the embodiment of the present application. In the embodiment of the present application, the device for evaluating the degree of influence of the electronic control system on vehicle load may include a processor, a memory, a communication interface, and a communication bus.

[0066] The communication bus may be of any type and is used to interconnect the processor, memory, and communication interface.

[0067] Communication interfaces include input / output (I / O), physical, and logical interfaces, used to interconnect components within the electronic control system's vehicle load impact assessment device, as well as interfaces used to interconnect the device with other devices (such as other computing devices or user devices). Physical interfaces can include Ethernet, fiber optic, and ATM interfaces; user devices can include displays and keyboards.

[0068] The memory can be various types of storage media, such as random access memory (RAM), read-only memory (ROM), non-volatile RAM (NVRAM), flash memory, optical storage, hard disk, programmable ROM (PROM), erasable PROM (EPROM), electrically erasable PROM (EEPROM), etc.

[0069] The processor may be a general-purpose processor that can invoke a program stored in memory to evaluate the degree of impact of an electronic control system on vehicle load and execute the method for evaluating the degree of impact of an electronic control system on vehicle load provided in the embodiments of the present application. For example, the general-purpose processor may be a central processing unit (CPU). The method executed when the program for evaluating the degree of impact of an electronic control system on vehicle load is invoked can be referenced in the various embodiments of the method for evaluating the degree of impact of an electronic control system on vehicle load provided in the present application and will not be further described here.

[0070] Those skilled in the art will understand that Figure 3 The hardware structure shown in the figure does not constitute a limitation to the present application and may include more or fewer components than shown in the figure, or a combination of certain components, or a different arrangement of components.

[0071] In a fourth aspect, an embodiment of the present application also provides a computer-readable storage medium.

[0072] The computer-readable storage medium of the present application stores a program for evaluating the degree of influence of the electronic control system on the vehicle load. When the program for evaluating the degree of influence of the electronic control system on the vehicle load is executed by a processor, the steps of the method for evaluating the degree of influence of the electronic control system on the vehicle load as described above are implemented.

[0073] Among them, the method implemented when the evaluation program of the degree of influence of the electronic control system on the vehicle load is executed can refer to the various embodiments of the evaluation method of the degree of influence of the electronic control system on the vehicle load of the present application, and will not be repeated here.

[0074] It should be noted that the serial numbers of the above-mentioned embodiments of the present application are for description only and do not represent the advantages or disadvantages of the embodiments.

[0075] The terms "including" and "having" and any variations thereof in the specification and claims of this application and the above-mentioned drawings are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not limited to the listed steps or units, but optionally includes steps or units that are not listed, or optionally includes other steps or units inherent to these processes, methods, products or devices. The terms "first", "second" and "third" are used to distinguish different objects, etc., and do not represent a sequence, nor do they limit the "first", "second" and "third" to different types.

[0076] In the description of the embodiments of this application, the words "exemplary," "for example," or "for example" are used to indicate examples, illustrations, or descriptions. Any embodiment or design described as "exemplary," "for example," or "for example" in the embodiments of this application should not be construed as being preferred or advantageous over other embodiments or designs. Rather, the use of words such as "exemplary," "for example," or "for example" is intended to present the relevant concepts in a concrete manner.

[0077] In the description of the embodiments of the present application, unless otherwise specified, “ / ” means or, for example, A / B can mean A or B; “and / or” in the text is merely a description of the association relationship of associated objects, indicating that three relationships may exist, for example, A and / or B can mean: A exists alone, A and B exist at the same time, and B exists alone. In addition, in the description of the embodiments of the present application, “multiple” refers to two or more than two.

[0078] In some processes described in the embodiments of the present application, multiple operations or steps are included that appear in a specific order. However, it should be understood that these operations or steps may not be performed in the order in which they appear in the embodiments of the present application or may be performed in parallel. The sequence numbers of the operations are only used to distinguish between different operations, and the sequence numbers themselves do not represent any order of execution. In addition, these processes may include more or fewer operations, and these operations or steps may be performed in sequence or in parallel, and these operations or steps may be combined.

[0079] Through the description of the above embodiments, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of software plus the necessary general hardware platform. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of this application, or the part that contributes to the existing technology, can be embodied in the form of a software product. This computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) as described above and includes a number of instructions for enabling a terminal device to execute the methods described in each embodiment of this application.

[0080] The above are only preferred embodiments of the present application and do not limit the patent scope of the present application. Any equivalent structure or equivalent process transformation made using the contents of the present application specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present application.

Claims

1. A method for evaluating the degree of influence of an electronic control system on a vehicle load, characterized in that: The method for evaluating the degree of influence of the electronic control system on the vehicle load includes: Establishing a vehicle multi-body dynamics model excluding the electronic control system and a target electronic control system model corresponding to the target electronic control system respectively; connecting the vehicle multi-body dynamics model and the target electronic control system model to generate a joint simulation model; Based on preset strength test conditions and durability test conditions, respectively, simulation tests are performed on the vehicle multi-body dynamics model and the joint simulation model, and load data and total pseudo-damage data of target components in the vehicle multi-body dynamics model and the joint simulation model are respectively obtained; According to the difference in load data and total pseudo damage data of the target component in the vehicle multi-body dynamics model and the joint simulation model, it is determined whether the design of the target component needs to be re-evaluated.

2. The method for evaluating the degree of influence of an electronic control system on a vehicle load according to claim 1, wherein: Establishing the target electronic control system model includes: Establish a corresponding Simulink model according to the control logic of the target electronic control system; Among them, the signal class of the control logic in the Simulink model includes the input and output signal class and the validity class of the input and output signals. The validity of the input signals and output signals related to the functions of the target electronic control system is set to valid, and the validity of the input signals and output signals for the interaction between the target electronic control system and other electronic control systems is set to invalid.

3. The method for evaluating the degree of influence of an electronic control system on a vehicle load according to claim 2, wherein: Establishing the vehicle multi-body dynamics model includes: Setting a signal collector and an actuator in the vehicle multi-body dynamics model; Among them, the signal collector is used to collect the input signal of the target electronic control system model in the vehicle multi-body dynamics model and input it into the target control system model, and the actuator is used to receive the output signal of the target control system model and perform corresponding actions according to the output signal.

4. The method for evaluating the degree of influence of an electronic control system on a vehicle load according to claim 3, wherein: Connecting the vehicle multi-body dynamics model and the target electronic control system model to generate a joint simulation model includes: Creating a control system multi-body model corresponding to the target electronic control system in the vehicle multi-body dynamics model; Exporting the Simulink model as an FMU file, and importing the FMU file into the control system multi-body model; The signals of the signal collector and the actuator in the vehicle multi-body dynamics model are connected to the control system multi-body model after the FMU file is imported according to the functions and definitions to generate the joint simulation model.

5. The method for evaluating the degree of influence of an electronic control system on a vehicle load according to claim 1, wherein: After generating the joint simulation model, and before performing simulation testing on the joint simulation model based on the strength test condition and the durability test condition, the method further includes: Performing simulation tests on the joint simulation model based on a preset first verification working condition and a preset second verification working condition respectively; The first verification condition includes running in a figure-8 manner according to a preset steering wheel steering condition at different vehicle speeds, and the second verification condition includes a forward double lane change condition at a target speed; Under each verification condition, obtain the rack movement direction and displacement of the rear-wheel steering system and the front-wheel steering system; If, under the first working condition, the racks of the rear-wheel steering system and the front-wheel steering system move in opposite directions and their displacements reach the target displacement, and, under the second working condition, the racks of the rear-wheel steering system and the front-wheel steering system move in the same direction and their displacements are less than a preset threshold, then it is determined that the joint simulation model has been constructed successfully; Otherwise, it is determined that the joint simulation model is unqualified.

6. The method for evaluating the influence of an electronic control system on a vehicle load according to claim 1, wherein: The simulation tests are performed on the vehicle multi-body dynamics model and the joint simulation model based on the preset strength test conditions and the durability test conditions, and the load data and total pseudo damage data of the target components in the vehicle multi-body dynamics model and the joint simulation model are obtained respectively, including: Performing a simulation test on the vehicle multi-body dynamics model based on the strength test condition to obtain first load data of the target component in the multi-body dynamics model; Performing a simulation test on the joint simulation model based on the strength test condition to obtain second load data of the target component in the joint simulation model; Performing a simulation test on the vehicle multi-body dynamics model based on the durability test condition to obtain first total pseudo damage data of the target component in the multi-body dynamics model; A simulation test is performed on the joint simulation model based on the durability test condition to obtain second total pseudo damage data of the target component in the joint simulation model.

7. The method for evaluating the influence of an electronic control system on a vehicle load according to claim 1, wherein: Determining whether it is necessary to re-evaluate the design of the target component based on a difference in load data and total pseudo-damage data of the target component in the vehicle multi-body dynamics model and the co-simulation model, including: calculating a difference between the first load data and the second load data, and a ratio between the first total pseudo damage data and the second total pseudo damage data; If the difference is greater than a preset difference threshold or the ratio is greater than a preset ratio threshold, it is determined that the design of the target component needs to be re-evaluated.

8. A device for evaluating the degree of influence of an electronic control system on a vehicle load, characterized in that: The device for evaluating the degree of influence of the electronic control system on the vehicle load includes: An establishment module, which is used to respectively establish a vehicle multi-body dynamics model excluding an electronic control system and a target electronic control system model corresponding to the target electronic control system; A generation module, configured to connect the vehicle multi-body dynamics model and the target electronic control system model to generate a joint simulation model; a testing module, configured to perform simulation tests on the vehicle multibody dynamics model and the joint simulation model based on preset strength test conditions and durability test conditions, and to obtain load data and total pseudo-damage data of target components in the vehicle multibody dynamics model and the joint simulation model, respectively; An evaluation module is used to determine whether it is necessary to re-evaluate the design of the target component based on the difference in load data and total pseudo damage data of the target component in the vehicle multi-body dynamics model and the joint simulation model.

9. A device for evaluating the degree of influence of an electronic control system on a vehicle load, characterized in that: The device for evaluating the degree of influence of the electronic control system on the vehicle load includes a processor, a memory, and a program for evaluating the degree of influence of the electronic control system on the vehicle load, which is stored in the memory and can be executed by the processor. When the program for evaluating the degree of influence of the electronic control system on the vehicle load is executed by the processor, the steps of the method for evaluating the degree of influence of the electronic control system on the vehicle load as described in any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium, characterized in that The computer-readable storage medium stores a program for evaluating the degree of influence of the electronic control system on the vehicle load, wherein when the program for evaluating the degree of influence of the electronic control system on the vehicle load is executed by the processor, the steps of the method for evaluating the degree of influence of the electronic control system on the vehicle load as described in any one of claims 1 to 7 are implemented.

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