Steering knuckle structure optimization method, device and storage medium

Abstract

The present invention discloses a steering knuckle structure optimization method, device and storage medium. The method comprises obtaining a vehicle simulation model, which includes a steering knuckle and multiple target connection points between the steering knuckle and the vehicle body. Then, based on the vehicle simulation model, a steering knuckle failure simulation is performed under a preset collision condition to obtain failure simulation data under different connection point failure strategies. Finally, based on the failure simulation data under the different connection point failure strategies, the structure of the steering knuckle is simulated and optimized so that, under the preset collision condition, each target connection point of the steering knuckle corresponding to the struck wheel of the vehicle fails after a preset time, causing the struck wheel to fall off from the vehicle body. The present invention optimizes the structure of the steering knuckle through the failure simulation data so that, in an actual collision, the target connection point of the steering knuckle is subjected to force failure, causing the wheel to fall off, thereby effectively preventing the wheel from squeezing the passenger compartment during a collision, thereby improving the collision performance of the vehicle and improving the safety of the passengers on the vehicle.

Description

Technical Field

[0001] The present invention relates to the field of vehicle safety technology, and in particular to a steering knuckle structure optimization method, device and storage medium. Background Art

[0002] With the upgrading of relevant safety regulations, vehicle frontal collision safety has become a key point in vehicle safety, posing greater challenges to the design of the front-end structure of the vehicle.

[0003] Currently, most automakers are passively strengthening the vehicle's body structure to improve the vehicle's small-offset collision performance. For example, this is achieved by optimizing the front anti-collision beam, energy absorption box, front longitudinal beam, and other primary collision absorbers. However, since these primary collision absorbers are not necessarily located in the collision zone, strengthening the primary collision absorber structure cannot guarantee the vehicle's collision performance. For example, in a small-offset collision (i.e., a frontal collision at 64 kph with a 25% offset), the overlap between the vehicle and the obstacle is small, and the front anti-collision beam, energy absorption box, and front longitudinal beam are not located in the collision zone, thus failing to provide cushioning or energy absorption. Therefore, a small-offset collision can cause the front end of the vehicle to deform significantly, leading to deformation of the passenger compartment and compression of the occupant's living space, compromising occupant safety. Summary of the Invention

[0004] The present invention provides a steering knuckle structure optimization method, device and storage medium to solve the problem in the prior art that the vehicle collision performance and occupant safety cannot be guaranteed by strengthening the main collision energy absorbing member structure.

[0005] A method for optimizing a steering knuckle structure is provided, comprising:

[0006] obtaining a vehicle simulation model, the vehicle simulation model including a steering knuckle and multiple target connection points between the steering knuckle and the vehicle body;

[0007] Based on the vehicle simulation model, the steering knuckle failure simulation under the preset collision conditions is carried out to obtain the failure simulation data under different connection point failure strategies;

[0008] The steering knuckle is structurally optimized based on failure simulation data under different connection point failure strategies, so that when the vehicle is in a preset collision condition, each target connection point of the steering knuckle corresponding to the struck wheel fails after a preset time, causing the struck wheel to detach from the vehicle body.

[0009] Furthermore, the failure simulation data includes the cross-sectional force and the acting force when each target connection point fails under a preset collision condition. Based on the failure simulation data under different connection point failure strategies, the steering knuckle is structurally optimized, including:

[0010] Determine, based on failure simulation data under different connection point failure strategies, a connection point failure strategy that meets a preset collision target, as a target failure strategy, wherein the preset collision target at least includes that the failure time of each target connection point is after a preset time;

[0011] The steering knuckle structure is simulated and optimized based on the cross-sectional force and acting force at the failure of each target connection point corresponding to the target failure strategy.

[0012] Furthermore, based on the failure simulation data under different connection point failure strategies, a connection point failure strategy that meets the preset collision target is determined as the target failure strategy, including:

[0013] Function fitting is performed on failure simulation data under different connection point failure strategies to obtain a steering knuckle failure response model. The connection point failure strategy is a connection point failure time combination strategy composed of the failure times of each target connection point.

[0014] The steering knuckle failure response model is optimized and solved to obtain a combination strategy of connection point failure moments that meets the preset collision target, which is used as the target failure strategy.

[0015] Furthermore, a steering knuckle failure simulation under a preset collision condition is performed based on the vehicle simulation model to obtain connection point failure simulation data under different connection point failure strategies, including:

[0016] Randomly sampling different failure moments of multiple target connection points to obtain multiple different connection point failure moment combinations, each connection point failure moment combination consisting of the failure moments of each target connection point;

[0017] The failure moment combination of each connection point is used as a connection point failure strategy, which is input into the vehicle simulation model to perform steering knuckle failure simulation under preset collision conditions, and the connection point failure simulation data corresponding to each connection point failure strategy is obtained.

[0018] Furthermore, random sampling of different failure moments is performed on multiple target connection points to obtain multiple different combinations of connection point failure moments, including:

[0019] Determine the safe failure time range of the steering knuckle according to the transmission time of the collision force in the preset collision condition, wherein the lower limit of the safe failure time range is the preset time;

[0020] The safe failure time range is used as the failure time value range of each target connection point, and the failure time of each target connection point is randomly sampled to obtain multiple different connection point failure time combinations. The failure time of each target connection point in each connection point failure time combination is not exactly the same.

[0021] Furthermore, the vehicle simulation model is obtained in the following way:

[0022] Acquire an initial simulation model including a complete vehicle structure, and simulate a preset collision condition on the initial simulation model to obtain first simulated collision data;

[0023] Simplify the structure of the initial simulation model to obtain a simplified simulation model that meets the structural requirements of the preset collision conditions;

[0024] Performing a simulation of a preset collision condition on the simplified simulation model to obtain second simulation collision data;

[0025] Performing consistency comparison analysis on the first simulated collision data and the second simulated collision data to obtain a comparison result;

[0026] If the comparison result shows that the model performance is consistent, the simplified simulation model is determined as the vehicle simulation model.

[0027] Furthermore, when the steering knuckle is a double wishbone suspension steering knuckle, the multiple target connection points include a front connection point of a lower swing arm, a rear connection point of a lower swing arm, a steering tie rod connection point, and an upper swing arm connection point;

[0028] The failure moment of the front connection point of the lower control arm is the first moment, the failure moment of the rear connection point of the lower control arm is the second moment, the failure moment of the steering rod connection point is the third moment, and the failure moment of the upper control arm connection point is the fourth moment.

[0029] Provided is a steering knuckle structure optimization device, comprising:

[0030] An acquisition module is used to acquire a vehicle simulation model, where the vehicle simulation model includes a steering knuckle and multiple target connection points between the steering knuckle and the vehicle body;

[0031] A simulation module is used to simulate steering knuckle failure under preset collision conditions based on a vehicle simulation model, obtaining failure simulation data under different connection point failure strategies. The failure simulation data includes the cross-sectional force and the applied force when each target connection point fails under different collision scenarios.

[0032] The optimization module is used to simulate and optimize the structure of the steering knuckle based on failure simulation data under different connection point failure strategies, so that when the vehicle is in a preset collision condition, each target connection point of the steering knuckle corresponding to the struck wheel fails after a preset time, causing the struck wheel to detach from the vehicle body.

[0033] A steering knuckle structure optimization device is provided, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor. The device is characterized in that the steps of the above-mentioned steering knuckle structure optimization method are implemented when the processor executes the computer program.

[0034] A readable storage medium is provided, wherein the readable storage medium stores a computer program, and wherein the computer program implements the steps of the above-mentioned steering knuckle structure optimization method when executed by a processor.

[0035] In one solution provided by the above-mentioned steering knuckle structure optimization method, device and storage medium, a vehicle simulation model is obtained, which includes a steering knuckle, multiple target connection points between the steering knuckle and the vehicle body, and then a steering knuckle failure simulation is performed under a preset collision condition based on the vehicle simulation model to obtain failure simulation data under different connection point failure strategies. Finally, the structure of the steering knuckle is simulated and optimized based on the failure simulation data under different connection point failure strategies, so that the target connection points of the steering knuckle corresponding to the hit wheel of the vehicle fail after a preset time under the preset collision condition, so that the hit wheel falls off from the vehicle body; in the present invention, the failure of the steering knuckle is simulated based on the constraint of the chassis on the wheel, and the structure of the steering knuckle is optimized through the failure simulation data, so that the wheel falls off through the force failure of the target connection point of the steering knuckle in the actual preset collision condition, which can effectively prevent the wheel from squeezing the passenger compartment during a collision, effectively reduce the collision pressure, improve the collision performance of the vehicle, and improve the safety of the passengers on the vehicle. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments of the present invention. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0037] Figure 1 2 is a schematic structural diagram of a steering knuckle structure optimization system according to an embodiment of the present invention;

[0038] Figure 2 This is a schematic flow chart of a method for optimizing a steering knuckle structure according to an embodiment of the present invention;

[0039] Figure 3 1 is a schematic structural diagram of a double wishbone suspension steering knuckle according to an embodiment of the present invention;

[0040] Figure 4 yes Figure 2 A schematic diagram of an implementation flow of step S20;

[0041] Figure 5 2 is a schematic structural diagram of a steering knuckle structure optimization device according to an embodiment of the present invention;

[0042] Figure 6 Schematic diagram of another structure of the steering knuckle structure optimization device in one embodiment of the present invention.

[0043] Among them, the reference numerals in the figures are:

[0044] 1-steering knuckle; 2-wheel brake disc; 3-steering rod; 41-lower arm front rod 4; 42-lower arm rear rod; 43-upper arm rod. DETAILED DESCRIPTION

[0045] 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 them. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall within the scope of protection of the present invention.

[0046] The steering knuckle structure optimization method provided by the embodiment of the present invention can be applied in Figure 1 In the steering knuckle structure optimization system shown, the steering knuckle structure optimization system includes a vehicle and a steering knuckle structure optimization device, and a steering knuckle is correspondingly installed on each driving wheel of the vehicle. After obtaining a steering knuckle that meets the strength required for normal driving of the vehicle, if it is necessary to optimize the steering knuckle according to a preset collision condition (such as a small offset collision condition), the steering knuckle structure optimization device needs to obtain the structural parameters of the vehicle and establish a vehicle simulation model based on the structural parameters of the vehicle, wherein the vehicle simulation model includes a steering knuckle, a vehicle body, and multiple target connection points between the steering knuckle and the vehicle body, and designs multiple connection point failure strategies based on the steering knuckle failure target, that is, a strategy for the simultaneous or sequential failure of multiple target connection points of the steering knuckle, and then performs a steering knuckle failure simulation of the preset collision condition based on the vehicle simulation model to obtain failure simulation data under different connection point failure strategies, and finally The structure of the steering knuckle is simulated and optimized based on failure simulation data under different connection point failure strategies, so that when the vehicle is in a preset collision condition, each target connection point of the steering knuckle corresponding to the struck wheel fails after a preset time, causing the struck wheel to fall off from the vehicle body; in this embodiment, the failure of the steering knuckle is simulated based on the constraint of the chassis on the wheel, and the structure of the steering knuckle is optimized through the failure simulation data, so that in the actual preset collision condition, the target connection point of the steering knuckle fails under force, causing the wheel to fall off, which can effectively prevent the wheel from squeezing the passenger compartment during a collision, can effectively reduce the collision pressure, improve the collision performance of the vehicle, and improve the safety of the passengers on the vehicle.

[0047] In one embodiment, if Figure 2 As shown, a steering knuckle structure optimization method is provided, which is applied in Figure 1 The steering knuckle structure optimization device in the embodiment is taken as an example to illustrate, including the following steps:

[0048] S10: Obtain a vehicle simulation model.

[0049] It should be understood that in vehicle offset collision conditions, especially in small offset collision conditions with a valve overlap rate of 25%, the barrier overlapping area is mainly the wheel chassis parts, and the short beam on the vehicle body structure has a relatively small effect. If the wheel falls off during a collision, it can effectively avoid the wheel squeezing the passenger compartment in small offset collision conditions. It can not only increase the energy absorption of the vehicle body structure, but also effectively reduce the pressure of small offset collision conditions, and significantly improve the integrity of the vehicle body structure. Therefore, this embodiment designs a strategic falling-off strategy for small offset collision conditions by starting from the constraints of the chassis parts connected to the wheels on the wheels. The wheels are connected to the chassis through swing arms (such as double wishbones), steering rods, suspensions, and steering knuckles. Due to the low overlap rate of small offset collision conditions, it is difficult for traditional swing arm failure to cause tire rotation and slippage. The steering knuckle is the main connection point between the wheel and the chassis, and the steering knuckle is within the overlap range of small offset collision conditions. Therefore, in this embodiment, the wheel separation strategy is defined as steering knuckle failure, and the failure position of the steering knuckle failure is defined as the connection point between the steering knuckle and the vehicle body. When the steering knuckle structure is a double wishbone suspension steering knuckle, such as Figure 3 As shown, the steering knuckle 1 is connected to the brake disc 2 of the wheel, the steering rod 3, and the double wishbone. The double wishbone includes a front lower arm tie rod 41, a rear lower arm tie rod 42, and an upper arm tie rod 43. Therefore, the connection points between the steering knuckle and the vehicle body include a front lower arm connection point, a rear lower arm connection point, a steering rod connection point, and an upper arm connection point.

[0050] After determining the connection points between the steering knuckle and the vehicle body, that is, determining multiple target connection points between the steering knuckle and the vehicle body, it is necessary to establish a vehicle simulation model and formulate different steering knuckle failure strategies (connection point failure strategies). These strategies involve simultaneously or sequentially failing multiple target connection points of the steering knuckle at a given moment. This allows the vehicle simulation model to be used to select the failure strategy that meets the requirements. To ensure the accuracy of the steering knuckle failure simulation, the vehicle simulation model includes the steering knuckle, the vehicle body, and multiple target connection points between the steering knuckle and the vehicle body, allowing the vehicle simulation model to be used to perform steering knuckle failure simulation.

[0051] S20: Performing a steering knuckle failure simulation under a preset collision condition based on the vehicle simulation model to obtain failure simulation data under different connection point failure strategies.

[0052] After establishing the vehicle simulation model, the steering knuckle structure optimization device needs to obtain the vehicle simulation model and multiple connection point failure strategies, and perform steering knuckle failure simulation under preset collision conditions based on the vehicle simulation model and the failure strategies of each connection point to obtain failure simulation data under different connection point failure strategies.

[0053] Among them, the preset collision condition in this embodiment can be a small offset collision condition. In other embodiments, the preset collision condition can also be other collision conditions that require the execution of wheel-off wheel.

[0054] S30: The structure of the steering knuckle is simulated and optimized based on failure simulation data under different connection point failure strategies, so that when the vehicle is in a preset collision condition, each target connection point of the steering knuckle corresponding to the struck wheel fails after a preset time, causing the struck wheel to detach from the vehicle body.

[0055] After obtaining failure simulation data under different connection point failure strategies, the structure of the steering knuckle is simulated and optimized based on the failure simulation data under different connection point failure strategies, so that the structural parameters of the optimized steering knuckle can be used by relevant users to carry out steering knuckle engineering design and production based on the optimized steering knuckle structural parameters, and applied to the corresponding vehicle, so that when the vehicle is in a preset collision condition, each target connection point of the steering knuckle corresponding to the struck wheel fails after a preset time, causing the struck wheel to fall off from the vehicle body.

[0056] The preset moment is the time when the collision force is transmitted to the steering knuckle when a preset collision condition occurs, under normal vehicle structural strength. This preset moment can be 25 milliseconds. When the preset collision condition occurs, each target connection point of the steering knuckle fails after the preset moment, indicating that the vehicle's steering knuckle strength meets normal driving requirements. Only when a vehicle collision occurs and the collision force is transmitted to the steering knuckle will each target connection point of the steering knuckle fail simultaneously or sequentially, causing the wheel to separate from the vehicle chassis, effectively preventing the wheel from squeezing the passenger compartment during a collision. This not only increases the energy absorption of the vehicle body structure, but also effectively reduces collision pressure, significantly improving the integrity of the vehicle body structure and the vehicle's collision performance.

[0057] For example, the failure simulation data includes the cross-sectional force at the time of failure of each target connection point under a preset collision condition. As the collision force is transmitted, the longer the distance from the preset moment under the preset collision condition, the greater the possibility that the collision force will be transmitted to the passenger compartment, and the vehicle body intrusion or deformation will increase. Therefore, after obtaining the failure simulation data under different connection point failure strategies, the connection point failure strategy in which the failure moment of each target connection point is after the preset moment and closest to the preset moment can be selected as the optimal connection point failure strategy. Then, the cross-sectional force at the time of failure of each target connection point corresponding to the optimal connection point failure strategy (i.e., the target failure strategy) is extracted, and the structure of the steering knuckle is engineered and optimized (such as optimizing the reinforcement method of the steering knuckle through cross-sectional design) so that the strength of the optimized steering knuckle structure can meet the normal use requirements of the vehicle, and each target connection point of the struck wheel can fail according to the optimal connection point failure strategy under the preset collision condition. In other embodiments, the failure simulation data may also include the body shape variable or body intrusion amount under a preset collision condition. After obtaining the failure simulation data under different connection point failure strategies, the connection point failure strategy with the smallest body shape variable or body intrusion amount under the preset collision condition can be selected from the failure simulation data under the different connection point failure strategies as the optimal connection point failure strategy, so as to extract the cross-sectional force at the time of failure of each target connection point corresponding to the optimal connection point failure strategy, and perform engineering optimization on the steering knuckle structure, so that each target connection point of the impacted wheel can fail according to the optimal connection point failure strategy under the preset collision condition, thereby reducing the body shape variable or body intrusion amount, improving the vehicle collision safety performance, and ensuring the safety of the occupants. Through the finite element analysis method, the wheel deflection and detachment moment that is most beneficial to the body structure of a specific vehicle model is obtained, and then the steering knuckle structure is optimized by the cross-sectional force at the time of failure of each target connection point, and the failure strength of each mounting point (i.e., target connection point) of the steering knuckle is obtained, which has an important guiding role in the research and development of vehicle structure.

[0058] In one embodiment, when the steering knuckle is a double-wishbone suspension steering knuckle, the multiple target connection points include a front connection point of a lower arm, a rear connection point of a lower arm, a steering rod connection point, and an upper arm connection point. The failure time of the front connection point of the lower arm is a first time, the failure time of the rear connection point of the lower arm is a second time, the failure time of the steering rod connection point is a third time, and the failure time of the upper arm connection point is a fourth time. The first time, the second time, the third time, and the fourth time are all after a preset time. The first time, the second time, the third time, and the fourth time can be the same, i.e., the front connection point of the lower arm, the rear connection point of the lower arm, the steering rod connection point, and the upper arm connection point can fail simultaneously. The first time, the second time, the third time, and the fourth time can also be different, i.e., the front connection point of the lower arm, the rear connection point of the lower arm, the steering rod connection point, and the upper arm connection point can fail simultaneously or sequentially after the preset time according to the failure time in the target failure strategy.

[0059] In this embodiment, a vehicle simulation model is obtained, which includes a steering knuckle and multiple target connection points between the steering knuckle and the vehicle body. Then, a steering knuckle failure simulation is performed under a preset collision condition based on the vehicle simulation model to obtain failure simulation data under different connection point failure strategies. Finally, the steering knuckle is structurally optimized based on the failure simulation data under different connection point failure strategies, so that under the preset collision condition, each target connection point of the steering knuckle corresponding to the struck wheel of the vehicle fails after a preset time, causing the struck wheel to fall off from the vehicle body. In this embodiment, the failure of the steering knuckle is simulated based on the constraint of the chassis on the wheel, and the structure of the steering knuckle is optimized through the failure simulation data, so that under the actual preset collision condition, the target connection point of the steering knuckle fails under force, causing the wheel to fall off. This can effectively prevent the wheel from squeezing the passenger compartment during a collision, effectively reduce the collision pressure, improve the collision performance of the vehicle, and improve the safety of the passengers on the vehicle.

[0060] In one embodiment, if Figure 4 As shown, in step S20, a steering knuckle failure simulation of a preset collision condition is performed based on the vehicle simulation model to obtain connection point failure simulation data under different connection point failure strategies, which specifically includes the following steps:

[0061] S21: Randomly sample multiple target connection points at different failure moments to obtain multiple different combinations of connection point failure moments.

[0062] After determining multiple target connection points between the steering knuckle and the vehicle body, random sampling is performed on each target connection point at different failure moments to obtain multiple different connection point failure moment combinations. By randomly sampling different failure moments for each target connection point, the different failure moments can be shuffled and reorganized as much as possible to obtain a larger number of connection point failure moment combinations, that is, a larger number of connection point failure strategies.

[0063] Each connection point failure time combination is composed of the failure times of each target connection point. That is, each connection point failure time combination includes the failure times of all target connection points. In each connection point failure time combination, the failure times of each target connection point can be the same or different.

[0064] For example, when the steering knuckle is a double wishbone suspension steering knuckle, the multiple target connection points of the steering knuckle include the front connection point of the lower control arm, the rear connection point of the lower control arm, the steering rod connection point and the upper control arm connection point, and each connection point failure moment combination includes the failure moment of the front connection point of the lower control arm, the rear connection point of the lower control arm, the steering rod connection point and the upper control arm connection point.

[0065] In this embodiment, the multiple target connection points include the front connection point of the lower control arm, the rear connection point of the lower control arm, the steering rod connection point and the upper control arm connection point for exemplary purposes only. In other embodiments, depending on the specific structure of the steering knuckle, the multiple target connection points can also be other connection points, which will not be repeated here.

[0066] S22: Combining the failure moments of each connection point as a connection point failure strategy, inputting the strategy into a vehicle simulation model to perform a steering knuckle failure simulation under a preset collision condition, and obtaining connection point failure simulation data corresponding to each connection point failure strategy.

[0067] After randomly sampling multiple target connection points at different failure moments to obtain multiple different connection point failure moment combinations, each connection point failure moment combination is used as a connection point failure strategy and input into a vehicle simulation model to perform steering knuckle failure simulation under preset collision conditions to obtain connection point failure simulation data corresponding to each connection point time combination, that is, connection point failure simulation data corresponding to each connection point failure strategy is obtained.

[0068] In this embodiment, by randomly sampling multiple target connection points at different failure moments, multiple different connection point failure moment combinations are obtained, each connection point failure moment combination consisting of the failure moments of each target connection point. Each connection point failure moment combination is then used as a connection point failure strategy and input into a vehicle simulation model to perform a steering knuckle failure simulation under a preset collision condition, obtaining connection point failure simulation data corresponding to each connection point failure strategy. This clarifies that a steering knuckle failure simulation under a preset collision condition based on the vehicle simulation model is performed to obtain connection point failure simulation data under different connection point failure strategies. By randomly sampling multiple target connection points at different failure moments, a connection point failure moment combination with a relatively large amount of data is obtained, and this is used as a connection point failure strategy to perform a steering knuckle failure simulation. This allows for the acquisition of collision simulation data under different connection point failure strategies, providing diverse and accurate data support for subsequent steering knuckle structure optimization. In other embodiments, connection point failure moment combinations may also be determined by other means, such as manual configuration, sorting and reorganization, etc., which will not be elaborated here.

[0069] In one embodiment, step S21, i.e., randomly sampling multiple target connection points at different failure moments to obtain multiple different connection point failure moment combinations, specifically includes the following steps:

[0070] S211: Determine a safe failure time range of the steering knuckle according to a force transmission time of the collision force in a preset collision condition.

[0071] After determining multiple target connection points, a finite element analysis is performed on the complete vehicle simulation model to determine the moments at which the collision force is transmitted to each structure under a pre-determined collision scenario, known as the force transmission process. Based on this force transmission process, a safe failure time range for the steering knuckle is determined. The lower limit of the safe failure time range is the pre-determined time, and the upper limit is the moment when the collision force is transmitted to the passenger compartment. If the steering knuckle fails within this safe failure time range, meaning all target connection points fail within this safe failure time range, the wheel can effectively fall off without compressing the passenger compartment. If the steering knuckle fails outside this safe failure time range, the vehicle's performance requirements may not be met. If the steering knuckle fails before the lower limit of the safe failure time range, the vehicle's steering knuckle strength may be insufficient, affecting normal driving. If the steering knuckle fails after the upper limit of the safe failure time range, the collision force is transmitted to the passenger compartment through the wheel, potentially compressing the passenger compartment and causing deformation. Wheel removal is meaningless and does not contribute to the vehicle's collision safety performance. It may also cause secondary injuries to the occupants.

[0072] For example, finite element analysis results for a vehicle with a double-wishbone suspension steering knuckle structure indicate that, under a predefined crash scenario, the time it takes for the collision force to be transmitted to the steering knuckle or any target connection point on the knuckle is approximately 25ms, meaning the predefined time is 25ms. Furthermore, the time it takes for the collision force to be transmitted through the wheels to the passenger compartment is approximately 70ms, so the steering knuckle's safe failure time range is (25ms, 70ms).

[0073] In this embodiment, the safe failure time range of the steering knuckle can be (25ms, 70ms) for exemplary purposes only. In other embodiments, the safe failure time range of the steering knuckle can be an interval range smaller than (25ms, 70ms). In addition, the actual safe failure time range of the steering knuckle can also be analyzed based on the specific structure of the vehicle model.

[0074] S212: Using the safe failure time range as the failure time value range of each target connection point, randomly sampling the failure time of each target connection point to obtain multiple different connection point failure time combinations.

[0075] After determining the safe failure time range for the steering knuckle, the safe failure time range is used as the failure time range for each target connection point. Random sampling of failure times is performed for each target connection point to obtain multiple different connection point failure time combinations. Considering the varying strengths of each target connection point, each target connection point can be sequentially disabled during a predetermined collision process. Therefore, the failure times of each target connection point in each connection point failure strategy are not identical, meaning that the failure times of each target connection point within each connection point failure time combination are not identical.

[0076] When randomly sampling the failure time of each target connection point, Latin hypercube sampling can be used. Specifically, the safe failure time range is used as the failure time value range of each target connection point, and the failure time of each target connection point is randomly sampled to obtain multiple different connection point failure time combinations. The method includes: dividing the safe failure time range into multiple continuous failure time intervals; performing Latin hypercube sampling on the failure time of each target connection point based on the multiple failure time intervals to obtain multiple different connection point failure time combinations. For each target connection point, the safe failure time range is divided into the same number of consecutive failure time intervals, that is, each target connection point corresponds to multiple failure time intervals, completing the stratification process; then, for each target connection point, a failure time is randomly sampled in each failure time interval to obtain multiple failure times; then, a failure time is randomly sampled from the multiple failure times corresponding to the target connection point as the target failure time of the target connection point; the target failure times of all target connection points in this round are combined to obtain a connection point failure time combination; and the above steps are repeated until a preset number of connection point failure time groups are obtained. The Latin hypercube sampling method is a type of Monte Carlo simulation method. By performing random sampling through the Latin hypercube sampling method, more input samples can be obtained through sampling with fewer iterations, thereby achieving higher sampling accuracy with a smaller sampling scale.

[0077] In this embodiment, a safe failure time range for the steering knuckle is determined based on the moment of force transmission of the collision force in a preset collision condition. The lower limit of the safe failure time range is a preset moment. The safe failure time range is then used as the failure time range for each target connection point. Failure times are randomly sampled for each target connection point to obtain multiple different combinations of connection point failure times. The failure times of each target connection point within each combination of connection point failure times are not completely identical. The specific steps of randomly sampling different failure times for multiple target connection points to obtain multiple different combinations of connection point failure times are clarified. The safe failure time range for the steering knuckle is determined based on the moment of force transmission of the collision force. The failure time of each target connection point is then determined based on the safe failure time range for the steering knuckle. This ensures that each combination of connection point failure times is a valid connection point failure strategy, reducing the workload of subsequent simulations for invalid connection point failure strategies and the amount of data processing. In other embodiments, there is no need to determine a safe failure time range. The failure time of each target connection point is directly simulated with arbitrary values, thus reducing the collision force transmission analysis process for the vehicle under the preset collision condition.

[0078] In one embodiment, the failure simulation data includes the cross-sectional force and the applied force when each target connection point fails under a preset collision condition. In step S30, the steering knuckle structure is simulated and optimized based on the failure simulation data under different connection point failure strategies, specifically including the following steps:

[0079] S31: Determine a connection point failure strategy that meets a preset collision target based on failure simulation data under different connection point failure strategies, as a target failure strategy. The preset collision target at least includes that the failure time of each target connection point is after a preset time.

[0080] After obtaining failure simulation data under different connection point failure strategies, a connection point failure strategy that meets a preset collision target is determined based on the failure simulation data under the different connection point failure strategies as a target failure strategy. The preset collision target at least includes the failure time of each target connection point being after a preset time. The failure simulation data includes the cross-sectional force and the applied force at the time of failure of each target connection point under the preset collision condition.

[0081] S32: Simulate and optimize the structure of the steering knuckle according to the cross-sectional force and the acting force when each target connection point corresponding to the target failure strategy fails.

[0082] After determining the target failure strategy, the cross-sectional forces and forces corresponding to the target failure strategy at the time of failure of each target connection point are extracted. Then, the cross-sectional forces and forces corresponding to the target failure strategy at the time of failure of each target connection point are used to simulate and optimize the structure of the steering knuckle. This allows the optimized steering knuckle to fail according to the target failure strategy at each target connection point of the impacted wheel under a preset collision condition, thereby achieving wheel detachment, reducing wheel compression on the passenger compartment, and improving collision safety performance. Furthermore, based on the simulation and optimization of the steering knuckle structure based on the cross-sectional forces and forces corresponding to the target failure strategy at the time of failure of each target connection point, the weight of the optimized steering knuckle can also be reduced to a preset weight based on lightweight design requirements. In this embodiment, the cross-sectional forces and forces corresponding to the target failure strategy at the time of failure of each target connection point are used as optimization references to simulate and optimize the structure of the steering knuckle. The structural strength of the steering knuckle is repeatedly verified through finite element simulation methods, ultimately resulting in a steering knuckle structural solution that meets collision performance requirements and has low quality and cost, with a high degree of automation.

[0083] For example, the preset collision target also includes minimizing the body shape variable or body intrusion, and the failure simulation data also includes the body shape variable or body intrusion under the preset collision conditions. After obtaining the failure simulation data under different connection point failure strategies, the connection point failure strategy with the minimum body shape variable or body intrusion and the failure time of each target connection point after the preset time is selected as the target failure strategy. In order to optimize the structure of the steering knuckle directly based on the cross-sectional force and force of each target connection point at the time of failure obtained by simulation according to the cross-sectional force and force of each target connection point at the time of failure corresponding to the target failure strategy, the wheel of the vehicle can be detached in time under the preset collision condition, thereby meeting the collision performance requirements and ensuring the safety of the occupants, and on this basis, the lightweighting of the steering knuckle can be maximized.

[0084] In other embodiments, the preset collision target also includes the failure moment of each target connection point being closest to the preset moment, that is, after obtaining failure simulation data under different connection point failure strategies, the connection point failure strategy in which the failure moment of each target connection point is after the preset moment and the failure moment of each target connection point is closest to the preset moment is selected as the target failure strategy.

[0085] In this embodiment, based on the failure simulation data under different connection point failure strategies, a connection point failure strategy that meets the preset collision target is determined. As the target failure strategy, the preset collision target at least includes the failure moment of each target connection point after the preset moment. Then, based on the cross-sectional force and the acting force when each target connection point fails corresponding to the target failure strategy, the structure of the steering knuckle is simulated and optimized, so that the optimized steering knuckle meets the preset weight requirement, and each target connection point of the steering knuckle corresponding to the hit wheel can fail according to the target failure strategy. The specific steps of structural optimization of the steering knuckle based on the failure simulation data under different connection point failure strategies are clarified. The optimized steering knuckle structure can make the wheel fall off in time when the vehicle encounters a preset collision condition, thereby meeting the collision performance requirements and ensuring the safety of the occupants, and can also meet the lightweight of the steering knuckle to the greatest extent possible on this basis.

[0086] In one embodiment, step S31, i.e., determining a connection point failure strategy that meets a preset collision target as a target failure strategy based on failure simulation data under different connection point failure strategies, specifically includes the following steps:

[0087] S311: Perform function fitting on failure simulation data under different connection point failure strategies to obtain a steering knuckle failure response model.

[0088] After obtaining the failure simulation data under different connection point failure strategies, function fitting is performed on the failure simulation data under different connection point failure strategies to obtain a steering knuckle failure response model with satisfactory accuracy. The connection point failure strategy is a connection point failure moment combination strategy composed of the failure moments of each target connection point.

[0089] When constructing a steering knuckle failure response model, it is first necessary to define the design variables and design objectives of the steering knuckle failure response model. In this embodiment, the design variables of the steering knuckle failure response model are the failure moments of each target connection point, that is, the connection point failure moment combination strategy composed of the design variables and the failure moments of each target connection point, that is, the connection point failure strategy. For example, the multiple target connection points are the front connection point of the lower control arm, the rear connection point of the lower control arm, the steering rod connection point and the upper control arm connection point, then the failure moments of each target connection point are t1, t2, t3 and t4 respectively; the design objective of the steering knuckle failure response model can be the vehicle body deformation or the vehicle body intrusion; after determining the design variables and design objectives, the failure simulation data under different connection point failure strategies are used as model samples for function fitting to obtain the steering knuckle failure response model.

[0090] Among them, the methods for constructing a response surface model include a neural network training method, a standard quadratic response surface method, a Kriging response surface method, and the like. Considering that there may be other influencing factors during steering knuckle analysis, it is necessary to consider the local variability of the response model. Therefore, in this embodiment, the Kriging response surface method is used to construct a steering knuckle failure response model. The Kriging response surface method adds local variability on the basis of the overall response and can handle situations with more drastic changes. At the same time, the Kriging response surface method has local and global statistical characteristics, can analyze and predict the trend of known information, and has high accuracy.

[0091] S312: Optimize and solve the steering knuckle failure response model to obtain a connection point failure moment combination strategy that meets a preset collision target as the target failure strategy.

[0092] After obtaining the steering knuckle failure response model, the steering knuckle failure response model is optimized and solved to obtain a combination strategy for connection point failure times that meets a preset collision target, which serves as the target failure strategy. In this embodiment, the preset collision target is related to the design target of the steering knuckle failure response model. When the design target is vehicle body deformation or vehicle body intrusion, the preset collision target is to minimize vehicle body deformation or vehicle body intrusion, and to ensure that the failure time of each target connection point is after the preset time.

[0093] In this embodiment, a steering knuckle failure response model is obtained by performing function fitting on failure simulation data under different connection point failure strategies. The connection point failure strategy is a connection point failure moment combination strategy composed of the failure moments of each target connection point. The steering knuckle failure response model is then optimized and solved to obtain a connection point failure moment combination strategy that meets a preset collision target. As a target failure strategy, it is clarified that a connection point failure strategy that meets a preset collision target is determined based on failure simulation data under different connection point failure strategies. As a specific step of the target failure strategy, a steering knuckle failure response model is obtained by performing function fitting on failure simulation data under different connection point failure strategies. The steering knuckle failure response model is then solved to obtain the target failure strategy. Compared with the method of directly using simulation failure data to determine the target failure strategy, the method based on the steering knuckle failure response model can obtain a connection point failure moment combination strategy that is not used as a simulation input, so that the obtained target failure strategy is more accurate.

[0094] In one embodiment, before step S10, it is necessary to first obtain a vehicle simulation model in order to perform a subsequent steering knuckle failure simulation, wherein the vehicle simulation model is obtained in the following manner:

[0095] S01: Acquire an initial simulation model including a complete vehicle structure, and simulate a preset collision condition on the initial simulation model to obtain first simulated collision data.

[0096] First, it is necessary to establish an initial simulation model based on the complete structural parameters of the vehicle model to be optimized, and obtain an initial simulation model containing the complete vehicle structure. Then, a preset collision condition is simulated on the initial simulation model to obtain the first simulated collision data. The first simulated collision data is data that can represent the collision performance of the vehicle. For example, the initial simulation model is simulated under a preset collision condition, and the extracted data target can be the acceleration at the bottom of the vehicle's B-pillar and / or the amount of vehicle body intrusion, that is, the first simulated collision data can be the acceleration change data at the bottom of the vehicle's B-pillar and / or the vehicle body intrusion data of the initial simulation model under the preset collision condition. The vehicle body intrusion is the structural displacement specified in the relevant regulations, mainly including the displacement of the footrest, pedals, upper and lower hinges, instrument panel and steering column.

[0097] S02: Simplify the structure of the initial simulation model to obtain a simplified simulation model that meets the structural requirements of the preset collision working condition.

[0098] After simulating the preset collision conditions on the initial simulation model and obtaining first simulated collision data, it is necessary to simplify the structure of the initial simulation model based on the preset collision conditions to obtain a simplified simulation model that meets the structural requirements of the preset collision conditions.

[0099] Among them, taking the small offset collision condition as an example, the simplified position is mainly the rear half of the vehicle body. The simplified structure includes the rear body, rear suspension, rear floor, rear frame, rear brake, rear powertrain and rear suspension, rear transmission and steering, etc., which have no effect or little effect on the small offset collision condition. The simplified simulation model needs to retain the structure of the cabin mechanism, front body and other force concentration areas of the small offset collision condition.

[0100] S03: Simulating a preset collision condition on the simplified simulation model to obtain second simulated collision data.

[0101] After obtaining the simplified simulation model, the simplified simulation model is simulated for a preset collision condition to obtain second simulated collision data, wherein when the simplified simulation model is simulated for the preset collision condition, the data target extracted is the same as the data target extracted when the initial simulation model is simulated for the preset collision condition.

[0102] For example, when the preset collision condition is simulated for the initial simulation model, the extracted data target may be the acceleration of the bottom of the vehicle's B-pillar and / or the amount of vehicle intrusion. Then, when the preset collision condition is simulated for the simplified simulation model, the extracted data target may also be the acceleration of the bottom of the vehicle's B-pillar and / or the amount of vehicle intrusion. That is, the simulated collision data may be the acceleration change data of the bottom of the vehicle's B-pillar and / or the amount of vehicle intrusion of the simplified simulation model under the preset collision condition.

[0103] S04: performing consistency comparison analysis on the first simulated collision data and the second simulated collision data to obtain a comparison result.

[0104] After obtaining the first simulated collision data and the second simulated collision data, a consistency comparison analysis is performed on the first simulated collision data and the second simulated collision data to obtain a comparison result. A similarity calculation can be performed on the first simulated collision data and the second simulated collision data, and a consistency comparison result between the first simulated collision data and the second simulated collision data is determined based on the calculated similarity. If the calculated similarity is greater than or equal to a preset similarity, the comparison result indicates consistent model performance; if the calculated similarity is less than the preset similarity, the comparison result indicates inconsistent model performance.

[0105] S05: If the comparison result shows that the model performances are consistent, the simplified simulation model is determined as the vehicle simulation model.

[0106] After performing a consistency comparison analysis on the first simulation collision data and the second simulation collision data and obtaining the comparison results, if the comparison result shows that the model performance is consistent, it means that the effectiveness of the simplified simulation model and the initial simulation model are not much different, and the simplified simulation model is determined as the vehicle simulation model; if the comparison result shows that the model performance is inconsistent, it means that the effectiveness of the simplified simulation model and the initial simulation model are significantly different, which affects the subsequent collision simulation and causes inaccurate steering knuckle failure simulation data, and the initial simulation model needs to be simplified again until the model performance of the simplified simulation model is consistent with that of the initial simulation model.

[0107] In this embodiment, an initial simulation model including a complete vehicle structure is obtained, and a preset collision condition is simulated on the initial simulation model to obtain first simulated collision data. Then, the initial simulation model is structurally simplified to obtain a simplified simulation model that meets the structural requirements of the preset collision condition. Then, a preset collision condition is simulated on the simplified simulation model to obtain second simulated collision data. Finally, a consistency comparison analysis is performed on the first simulated collision data and the second simulated collision data to obtain a comparison result. If the comparison result shows that the model performance is consistent, the simplified simulation model is determined as the vehicle simulation model. The specific method for obtaining the vehicle simulation model is clarified. The simplified simulation model that is consistent with the performance of the complete vehicle model is used as the vehicle simulation model for steering knuckle failure simulation. On the basis of ensuring the accuracy of the simulation data, the structural parameters of the vehicle simulation model can be reduced, thereby reducing the amount of data processing during the simulation process.

[0108] It should be understood that the size of the serial numbers of the steps in the above embodiments does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.

[0109] In one embodiment, a steering knuckle structure optimization device is provided, which corresponds to the steering knuckle structure optimization method in the above embodiment. Figure 5 As shown, the steering knuckle structure optimization device includes an acquisition module 501, a simulation module 502 and an optimization module 503. The functional modules are described in detail as follows:

[0110] An acquisition module 501 is used to acquire a vehicle simulation model, where the vehicle simulation model includes a steering knuckle and multiple target connection points between the steering knuckle and the vehicle body;

[0111] A simulation module 502 is configured to perform a steering knuckle failure simulation under a preset collision condition based on a vehicle simulation model, and obtain failure simulation data under different connection point failure strategies, wherein the failure simulation data includes a cross-sectional force and an applied force when each target connection point fails under different collision scenarios;

[0112] The optimization module 503 is used to simulate and optimize the structure of the steering knuckle based on failure simulation data under different connection point failure strategies, so that when the vehicle is in a preset collision condition, each target connection point of the steering knuckle corresponding to the struck wheel fails after a preset time, causing the struck wheel to detach from the vehicle body.

[0113] Furthermore, the failure simulation data includes the cross-sectional force and the acting force when each target connection point fails under a preset collision condition. The optimization module 503 is specifically used to:

[0114] Determine, based on failure simulation data under different connection point failure strategies, a connection point failure strategy that meets a preset collision target, as a target failure strategy, wherein the preset collision target at least includes that the failure time of each target connection point is after a preset time;

[0115] The steering knuckle structure is simulated and optimized based on the cross-sectional force and acting force at the failure of each target connection point corresponding to the target failure strategy.

[0116] Furthermore, the optimization module 503 is further configured to:

[0117] Function fitting is performed on failure simulation data under different connection point failure strategies to obtain a steering knuckle failure response model. The connection point failure strategy is a connection point failure time combination strategy composed of the failure times of each target connection point.

[0118] The steering knuckle failure response model is optimized and solved to obtain a combination strategy of connection point failure moments that meets the preset collision target, which is used as the target failure strategy.

[0119] Furthermore, the simulation module 502 is specifically configured to:

[0120] Randomly sampling different failure moments of multiple target connection points to obtain multiple different connection point failure moment combinations, each connection point failure moment combination consisting of the failure moments of each target connection point;

[0121] The failure moment combination of each connection point is used as a connection point failure strategy, which is input into the vehicle simulation model to perform steering knuckle failure simulation under preset collision conditions, and the connection point failure simulation data corresponding to each connection point failure strategy is obtained.

[0122] Furthermore, the simulation module 502 is further configured to:

[0123] Determine the safe failure time range of the steering knuckle according to the transmission time of the collision force in the preset collision condition, wherein the lower limit of the safe failure time range is the preset time;

[0124] The safe failure time range is used as the failure time value range of each target connection point, and the failure time of each target connection point is randomly sampled to obtain multiple different connection point failure time combinations. The failure time of each target connection point in each connection point failure time combination is not exactly the same.

[0125] Furthermore, the acquisition module 501 is used to obtain the vehicle simulation model in the following manner:

[0126] Acquire an initial simulation model including a complete vehicle structure, and simulate a preset collision condition on the initial simulation model to obtain first simulated collision data;

[0127] Simplify the structure of the initial simulation model to obtain a simplified simulation model that meets the structural requirements of the preset collision conditions;

[0128] Performing a simulation of a preset collision condition on the simplified simulation model to obtain second simulation collision data;

[0129] Performing consistency comparison analysis on the first simulated collision data and the second simulated collision data to obtain a comparison result;

[0130] If the comparison result shows that the model performance is consistent, the simplified simulation model is determined as the vehicle simulation model.

[0131] The specific definitions of the steering knuckle structure optimization device can be found in the definitions of the steering knuckle structure optimization method above and will not be further elaborated here. Each module in the aforementioned steering knuckle structure optimization device can be implemented in whole or in part via software, hardware, or a combination thereof. Each of these modules can be embedded in or independent of a processor within a computer device in hardware form, or stored in a computer device memory in software form, allowing the processor to call and execute the corresponding operations of each module.

[0132] In one embodiment, a steering knuckle structure optimization device is provided, which can be a server. The steering knuckle structure optimization device includes a processor, a memory, a network interface and a database connected through a system bus. The processor of the steering knuckle structure optimization device is used to provide computing and control capabilities. The memory of the steering knuckle structure optimization device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the steering knuckle structure optimization device is used to store data used and generated by the steering knuckle structure optimization method, such as vehicle simulation models, failure simulation data, optimized steering knuckle parameter data, etc. The network interface of the steering knuckle structure optimization device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a steering knuckle structure optimization method is implemented.

[0133] In one embodiment, Figure 6 As shown, a steering knuckle structure optimization device is provided, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the following steps are implemented:

[0134] obtaining a vehicle simulation model, the vehicle simulation model including a steering knuckle and multiple target connection points between the steering knuckle and the vehicle body;

[0135] Based on the vehicle simulation model, the steering knuckle failure simulation under the preset collision conditions is carried out to obtain the failure simulation data under different connection point failure strategies;

[0136] The structure of the steering knuckle is simulated and optimized based on failure simulation data under different connection point failure strategies, so that when the vehicle is in a preset collision condition, each target connection point of the steering knuckle corresponding to the struck wheel fails after a preset time, causing the struck wheel to detach from the vehicle body.

[0137] In one embodiment, a readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the following steps are implemented:

[0138] obtaining a vehicle simulation model, the vehicle simulation model including a steering knuckle and multiple target connection points between the steering knuckle and the vehicle body;

[0139] Based on the vehicle simulation model, the steering knuckle failure simulation under the preset collision conditions is carried out to obtain the failure simulation data under different connection point failure strategies;

[0140] The structure of the steering knuckle is simulated and optimized based on failure simulation data under different connection point failure strategies, so that when the vehicle is in a preset collision condition, each target connection point of the steering knuckle corresponding to the struck wheel fails after a preset time, causing the struck wheel to detach from the vehicle body.

[0141] Those skilled in the art will appreciate that all or part of the processes in the above-mentioned embodiments can be implemented by instructing the relevant hardware through a computer program. The computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application can include non-volatile and / or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in various forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

[0142] Those skilled in the art will clearly understand that for the sake of convenience and brevity of description, only the division of the above-mentioned functional units and modules is used as an example. In actual applications, the above-mentioned functions can be distributed and completed by different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above.

[0143] The embodiments described above are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. These modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the various embodiments of the present invention, and should all be included in the scope of protection of the present invention.

Claims

1. A method for optimizing a steering knuckle structure, characterized in that: include: Acquire a vehicle simulation model, the vehicle simulation model including a steering knuckle and a plurality of target connection points between the steering knuckle and a vehicle body; Performing a steering knuckle failure simulation under a preset collision condition based on the vehicle simulation model to obtain failure simulation data under different connection point failure strategies, wherein the connection point failure strategy is a connection point failure moment combination strategy composed of failure moments of each target connection point; The structure of the steering knuckle is simulated and optimized based on the failure simulation data under the different connection point failure strategies, so that each target connection point of the steering knuckle corresponding to the struck wheel fails after a preset time under the preset collision condition, causing the struck wheel to detach from the vehicle body; The failure simulation data includes the cross-sectional force and the acting force when each target connection point fails under the preset collision condition. The simulation optimization of the steering knuckle structure based on the failure simulation data under the different connection point failure strategies includes: Determining, based on the failure simulation data under the different connection point failure strategies, the connection point failure strategy that meets a preset collision target as a target failure strategy, the preset collision target at least including a failure time of each target connection point that is after the preset time; The structure of the steering knuckle is simulated and optimized according to the cross-sectional force and the acting force when each target connection point corresponding to the target failure strategy fails.

2. The steering knuckle structure optimization method according to claim 1, characterized in that: The step of determining, based on the failure simulation data under the different connection point failure strategies, the connection point failure strategy that satisfies a preset collision target as a target failure strategy includes: Performing function fitting on the failure simulation data under the different connection point failure strategies to obtain a steering knuckle failure response model; The steering knuckle failure response model is optimized and solved to obtain the connection point failure moment combination strategy that meets the preset collision target as the target failure strategy.

3. The steering knuckle structure optimization method according to claim 1, characterized in that: The steering knuckle failure simulation of a preset collision condition is performed based on the vehicle simulation model to obtain connection point failure simulation data under different connection point failure strategies, including: Randomly sampling different failure moments of the plurality of target connection points to obtain a plurality of different connection point failure moment combinations, each of the connection point failure moment combinations consisting of the failure moments of the target connection points; Each connection point failure moment combination is used as the connection point failure strategy, and is input into the vehicle simulation model to perform steering knuckle failure simulation of the preset collision condition, so as to obtain connection point failure simulation data corresponding to each connection point failure strategy.

4. The steering knuckle structure optimization method according to claim 3, characterized in that: The randomly sampling the plurality of target connection points at different failure moments to obtain a plurality of different connection point failure moment combinations includes: determining a safe failure time range of the steering knuckle according to a force transmission time of the collision force in the preset collision working condition, wherein a lower limit of the safe failure time range is the preset time; The safe failure time range is used as the failure time value range of each target connection point, and the failure time of each target connection point is randomly sampled to obtain multiple different connection point failure time combinations. The failure time of each target connection point in each connection point failure time combination is not exactly the same.

5. The steering knuckle structure optimization method according to claim 1, characterized in that: The vehicle simulation model is obtained in the following manner: Acquiring an initial simulation model including a complete vehicle structure, and performing a simulation of the preset collision condition on the initial simulation model to obtain first simulated collision data; Structural simplification of the initial simulation model is performed to obtain a simplified simulation model that meets the structural requirements of the preset collision working condition; Performing a simulation of the preset collision condition on the simplified simulation model to obtain second simulated collision data; performing a consistency comparison analysis on the first simulated collision data and the second simulated collision data to obtain a comparison result; If the comparison result shows that the model performances are consistent, the simplified simulation model is determined as the vehicle simulation model.

6. The steering knuckle structure optimization method according to any one of claims 1 to 5, characterized in that: When the steering knuckle is a double wishbone suspension steering knuckle, the plurality of target connection points include a lower swing arm front connection point, a lower swing arm rear connection point, a steering tie rod connection point, and an upper swing arm connection point; The failure moment of the front connection point of the lower swing arm is the first moment, the failure moment of the rear connection point of the lower swing arm is the second moment, the failure moment of the steering rod connection point is the third moment, and the failure moment of the upper swing arm connection point is the fourth moment.

7. A steering knuckle structure optimization device, characterized in that: include: an acquisition module, configured to acquire a vehicle simulation model, wherein the vehicle simulation model includes a steering knuckle and a plurality of target connection points between the steering knuckle and the vehicle body; a simulation module for performing a steering knuckle failure simulation under a preset collision condition based on the vehicle simulation model to obtain failure simulation data under different connection point failure strategies, wherein the connection point failure strategy is a connection point failure moment combination strategy composed of failure moments of each of the target connection points; an optimization module, configured to simulate and optimize the structure of the steering knuckle based on the failure simulation data under the different connection point failure strategies, so that, under the preset collision condition of the vehicle, each target connection point of the steering knuckle corresponding to the struck wheel fails after a preset time, causing the struck wheel to detach from the vehicle body; The failure simulation data includes the cross-sectional force and the acting force when each target connection point fails under the preset collision condition. The simulation optimization of the steering knuckle structure based on the failure simulation data under the different connection point failure strategies includes: Determining, based on the failure simulation data under the different connection point failure strategies, the connection point failure strategy that meets a preset collision target as a target failure strategy, the preset collision target at least including a failure time of each target connection point that is after the preset time; The structure of the steering knuckle is simulated and optimized according to the cross-sectional force and the acting force when each target connection point corresponding to the target failure strategy fails.

8. A steering knuckle structure optimization device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the steps of the steering knuckle structure optimization method according to any one of claims 1 to 6 are implemented.

9. A readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the steering knuckle structure optimization method according to any one of claims 1 to 6 are implemented.

Images