Multi-working-condition load spectrum design method for mining dump truck

Abstract

The invention discloses a mining dump truck multi-working-condition load spectrum design method which comprises the following steps: acquiring multi-working-condition load spectrum data based on road spectrum data of a real mining area use scene of a user; constructing a whole vehicle multi-body dynamic model; taking the multi-working-condition load spectrum data as input excitation of the whole vehicle multi-body dynamic model so as to perform virtual reliability verification, and obtaining a multi-working-condition load spectrum of the part; and taking the multi-working-condition load spectrum of the parts as external excitation input, carrying out strength simulation on the chassis of the whole vehicle, and carrying out fatigue durability simulation on key parts. According to the multi-working-condition load spectrum design method for the mining dump truck, full verification and iteration are carried out in the scheme stage by means of a virtual verification technology instead of depending on test verification of a real truck, so that the iteration requirement of rapid development of a product is met; typical multi-working-condition load spectrum data is mined based on actually measured road spectrum data of a real use scene and fitted into equivalent road spectrum data, so that real dynamic loads of all parts of a vehicle are simulated more truly.

Description

Technical Field

[0001] This invention relates to the field of mining dump truck technology, and more specifically, to a multi-condition load spectrum design method for mining dump trucks. Background Technology

[0002] When developing automotive products, it is necessary to conduct sufficient reliability and fatigue durability verification. Mining dump trucks are special operation vehicles mainly used for transportation in mining areas. In accordance with the national green mining development strategy, the industry is gradually developing towards large tonnage, new energy, and unmanned operation. At the same time, it is necessary to cope with the complex working conditions of different mining areas, which puts forward higher requirements for the fatigue durability and reliability verification of the whole vehicle.

[0003] Currently, the industry's commonly used verification methods are mainly divided into two types: enhanced durability road verification based on actual vehicles and virtual verification based on CAE simulation. Enhanced durability road verification based on actual vehicles refers to the use of standardized road surfaces in test tracks, typically with different road surfaces set according to standards. For example, a commercial vehicle company's enhanced durability test track has 25 typical road surfaces, including Belgian roads, washboard roads, cobblestone roads, twisted roads, and damaged concrete roads. During the prototype reliability verification phase, the actual vehicle undergoes enhanced verification, with different design life indicators determined based on different product positioning. These are then converted into corresponding equivalent user mileage for enhanced verification of the prototype vehicle. The drawbacks of enhanced durability road verification based on actual vehicles are: because it relies on actual vehicle testing, verification cannot be conducted at the design stage and can only be performed at the prototype stage, resulting in high costs and long cycles. In the current environment of intensified market competition, it is difficult to meet the needs of product development and iteration. Moreover, because the actual operating conditions of users are very complex and diverse, and the usage environment varies significantly in different regions, it is difficult to accurately convert the standard operating conditions of the test track into user mileage. CAE simulation-based virtual verification refers to the process of creating a 3D model of the entire vehicle during the design phase, and then using finite element analysis (CAE) technology to define common typical operating conditions and perform chassis strength simulation analysis. This verification technique simulates common operating conditions using static load conditions. For example, 10 typical operating conditions can be defined during CAE simulation (such as bending, starting, steering, braking, 2.5g load, 8km / h frontal impact (-11g), left front overhang, left rear overhang, left front impact, and right front impact), and then simulations are performed for each typical operating condition to evaluate chassis strength performance. The limitations of CAE simulation-based virtual verification are: because the actual operating conditions used by users are very complex and diverse, and the usage environment varies significantly in different regions, common typical operating conditions cannot simulate the actual user scenarios, easily leading to insufficient verification; moreover, during actual use, the load is usually dynamically changing, and this dynamic load may cause non-static fatigue damage, which simulation verification cannot simulate.

[0004] Therefore, there is an urgent need for a multi-condition load spectrum design method for mining dump trucks. Summary of the Invention

[0005] The purpose of this invention is to provide a multi-condition load spectrum design method for mining dump trucks to solve the problems in the prior art and provide more realistic, systematic and comprehensive condition load data for vehicle fatigue durability simulation.

[0006] This invention provides a multi-condition load spectrum design method for mining dump trucks, comprising:

[0007] Based on road spectrum data from real-world mining scenarios, acquire multi-condition load spectrum data;

[0008] Construct a multibody dynamics model of the whole vehicle;

[0009] The multi-condition load spectrum data is used as the input excitation of the vehicle multibody dynamics model to perform virtual reliability verification on the vehicle multibody dynamics model and obtain the multi-condition load spectrum of the components.

[0010] Using the multi-condition load spectrum of the aforementioned components as external excitation input, strength simulation of the entire vehicle chassis is performed, and fatigue durability simulation of key components is performed.

[0011] The multi-condition load spectrum design method for mining dump trucks described above, preferably, involves obtaining multi-condition load spectrum data based on road spectrum data from real-world mining scenarios, including:

[0012] Based on road spectrum data from a large number of real user scenarios in mining areas, the data is cleaned and aggregated to uncover the actual driving scenarios of mining dump trucks.

[0013] Based on the actual driving scenarios of the mining dump trucks excavated, the vehicle speed information and location information were compared and referenced to obtain multi-condition load spectrum data of the mining dump trucks.

[0014] The multi-condition load spectrum data of mining dump trucks are processed to obtain multi-condition load spectrum data.

[0015] The multi-condition load spectrum design method for mining dump trucks described above, preferably, involves processing the multi-condition load spectrum data of the mining dump truck to obtain the multi-condition load spectrum data, including:

[0016] The multi-condition load spectrum data of the mining dump truck was processed using Matlab and Python programs to obtain multi-condition load spectrum data with a duration of 20s.

[0017] The multi-condition load spectrum design method for mining dump trucks described above preferably includes the following: a 14-second constant speed condition, a 3-second acceleration condition, a 2-second braking condition, and a 1-second turning condition. Specifically, the 14-second constant speed condition includes: a 2.426-second constant speed condition at 30 km / h, a 3.712-second constant speed condition at 60 km / h, and a 7.862-second constant speed condition at 90 km / h. The 3-second acceleration condition includes: an initial velocity of 40 km / h and an acceleration of 3 m / s². 2 The braking condition with a duration of 2 seconds includes: an initial speed of 40 km / h and a deceleration of 5 m / s². 2 The turning condition with a duration of 1 second includes a turning speed of 30 km / h.

[0018] The multi-condition load spectrum design method for mining dump trucks described above, preferably, involves constructing a multi-body dynamics model of the entire vehicle, including:

[0019] A virtual prototype model was constructed using mechanical system dynamics simulation software. Each subsystem and component was modeled separately to obtain multiple virtual prototype models of individual components.

[0020] The virtual prototype models of each component are assembled into a multibody dynamics model of the whole vehicle.

[0021] The multi-condition load spectrum design method for mining dump trucks described above preferably includes the following virtual prototype models for each component: leaf spring virtual prototype model, steering axle virtual prototype model, middle axle air suspension model, rear axle air suspension model, fully floating cab suspension virtual prototype model, steering system virtual prototype model, powertrain virtual prototype model, and tire virtual prototype model.

[0022] The multi-condition load spectrum design method for mining dump trucks described above, preferably, involves using the multi-condition load spectrum data as input excitation for the vehicle multibody dynamics model to perform virtual reliability verification on the vehicle multibody dynamics model and obtain the multi-condition load spectrum of components, including:

[0023] The multi-condition load spectrum data is used as the input excitation of the vehicle multibody dynamics model. The dynamic simulation technology of virtual prototype is used to perform virtual reliability verification on the vehicle multibody dynamics model. Virtual force acquisition devices and acceleration acquisition devices are arranged at key points of multiple assemblies of the vehicle to obtain the multi-condition load spectrum of the components.

[0024] In the multi-condition load spectrum design method for mining dump trucks described above, preferably, the assembly includes a cab assembly, a drive motor assembly, a traction saddle assembly, a power battery assembly, a front suspension assembly, a rear suspension assembly, and other assemblies.

[0025] The key points corresponding to the cab assembly include: the left front hinge point of the cab, the right front hinge point of the cab, the left rear airbag mounting point of the cab, and the right rear airbag mounting point of the cab.

[0026] The key points corresponding to the drive motor assembly include: the front left mounting point of the drive motor, the front right mounting point of the drive motor, the rear left mounting point of the drive motor, and the rear right mounting point of the drive motor.

[0027] The key points corresponding to the traction saddle assembly include: the left fixing point of the traction saddle and the right fixing point of the traction saddle.

[0028] The key points corresponding to the power battery assembly include: power battery mounting points;

[0029] The key points corresponding to the front suspension assembly include: the front left front point of the front suspension leaf spring, the front right front point of the front suspension leaf spring, the left mounting point of the front suspension shock absorber frame, the right mounting point of the front suspension shock absorber frame, the left rear point of the front suspension leaf spring, and the right rear point of the front suspension leaf spring.

[0030] The key points corresponding to the rear suspension assembly include: the second axle left front airbag mounting point, the second axle right front airbag mounting point, the second axle left shock absorber mounting point, the second axle right shock absorber mounting point, the second axle left rear airbag mounting point, the second axle right rear airbag mounting point, the rear axle left hanger, the rear axle right hanger, the third axle left front airbag mounting point, the third axle right front airbag mounting point, the third axle left shock absorber mounting point, the third axle right shock absorber mounting point, the third axle left rear airbag mounting point, and the third axle right rear airbag mounting point;

[0031] Key points corresponding to the other assemblies include: battery brake air compressor mounting points.

[0032] The multi-condition load spectrum design method for mining dump trucks described above, preferably, involves using the multi-condition load spectrum of the components as external excitation input to perform strength simulation on the entire vehicle chassis and fatigue durability simulation on key components, including:

[0033] Using CAE structural simulation technology, the multi-condition load spectrum of the components is used as the external excitation input to perform strength simulation on the whole vehicle chassis and fatigue durability simulation on key components, so as to evaluate the strength performance and life index of each key component.

[0034] This invention provides a multi-condition load spectrum design method for mining dump trucks. Utilizing virtual verification technology, it enables thorough verification and iteration during the design phase, rather than relying on actual vehicle testing, to meet the iterative needs of rapid product development. Based on a large amount of measured road spectrum data from real-world usage scenarios, the method performs data cleaning and aggregation to extract typical multi-condition load spectrum data. Advanced data processing algorithms are then used to fit this data into equivalent road spectrum data of a certain duration, more realistically simulating the actual dynamic loads on various vehicle components. This provides more realistic, systematic, and comprehensive load data for vehicle fatigue and durability simulation. Attached Figure Description

[0035] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described below with reference to the accompanying drawings, wherein:

[0036] Figure 1 A flowchart of an embodiment of the multi-condition load spectrum design method for mining dump trucks provided by the present invention;

[0037] Figure 2 This is a schematic diagram showing the proportion of load spectra under multiple operating conditions.

[0038] Figure 3 This is a schematic diagram of a multibody dynamics model;

[0039] Figure 4 A schematic diagram showing the channel setup for multi-condition loads on components;

[0040] Figure 5 A schematic diagram of the multi-condition load spectrum of the components;

[0041] Figure 6 This is a simulation diagram of the chassis strength of a mining dump truck.

[0042] Figure 7 This is a simulation diagram of the fatigue durability of the power battery bracket of a mining dump truck. Detailed Implementation

[0043] Various exemplary embodiments of the present disclosure will now be described in detail with reference to the accompanying drawings. The descriptions of the exemplary embodiments are merely illustrative and are in no way intended to limit the present disclosure or its application or use. The present disclosure may be implemented in many different forms and is not limited to the embodiments described herein. These embodiments are provided so that the present disclosure will be thorough and complete, and will fully express the scope of the disclosure to those skilled in the art. It should be noted that, unless specifically stated otherwise, the relative arrangement of components and steps, the composition of materials, numerical expressions, and values ​​set forth in these embodiments should be interpreted as exemplary only and not as limiting.

[0044] The terms “first,” “second,” and similar terms used in this disclosure do not indicate any order, quantity, or importance, but are merely used to distinguish different parts. Terms such as “including” or “contains” mean that the element preceding the term encompasses the element listed after it, and do not exclude the possibility of encompassing other elements as well. Terms such as “above” and “below” are used only to indicate relative positional relationships; when the absolute position of the described object changes, this relative positional relationship may also change accordingly.

[0045] In this disclosure, when a specific component is described as being located between a first component and a second component, an intermediary component may or may not be present between the specific component and the first or second component. When a specific component is described as connecting to other components, the specific component may be directly connected to the other components without having an intermediary component, or it may not be directly connected to the other components but may have an intermediary component.

[0046] All terms used in this disclosure (including technical or scientific terms) have the same meaning as understood by one of ordinary skill in the art to which this disclosure pertains, unless otherwise specifically defined. It should also be understood that terms defined in a general dictionary, such as a dictionary, should be interpreted as having a meaning consistent with their meaning in the context of the relevant art, and not as having an idealized or highly formalized meaning, unless expressly defined herein.

[0047] Techniques, methods, and equipment known to those skilled in the art may not be discussed in detail, but where appropriate, they should be considered part of the specification.

[0048] like Figure 1 As shown, the multi-condition load spectrum design method for mining dump trucks provided in this embodiment includes the following steps in actual implementation:

[0049] Step S1: Based on the road spectrum data of the user's real mining area usage scenario, obtain multi-condition load spectrum data.

[0050] In one embodiment of the multi-condition load spectrum design method for mining dump trucks of the present invention, step S1 may specifically include:

[0051] Step S11: Based on a large amount of road spectrum data from real user scenarios in mining areas, the data is cleaned and aggregated to uncover the actual driving scenarios of mining dump trucks.

[0052] Step S12: Based on the actual driving scenario of the excavated mining dump truck, the vehicle speed information and location information are compared and referenced to obtain the multi-condition load spectrum data of the mining dump truck.

[0053] Step S13: Process the multi-condition load spectrum data of the mining dump truck to obtain multi-condition load spectrum data.

[0054] In this invention, Matlab and Python programs are used to process the multi-condition load spectrum data of a mining dump truck, resulting in multi-condition load spectrum data with a duration of 20 seconds. In one embodiment of this invention, the 20-second multi-condition load spectrum data includes: a 14-second constant speed condition, a 3-second acceleration condition, a 2-second braking condition, and a 1-second turning condition. The 14-second constant speed condition includes: a 2.426-second constant speed condition at a speed of 30 km / h, a 3.712-second constant speed condition at a speed of 60 km / h, and a 7.862-second constant speed condition at a speed of 90 km / h. The 3-second acceleration condition includes: an initial velocity of 40 km / h and an acceleration of 3 m / s². 2 The braking condition with a duration of 2 seconds includes: an initial speed of 40 km / h and a deceleration of 5 m / s². 2 The 1-second turning condition includes a turning speed of 30 km / h. The percentage of each condition is as follows: Figure 2 As shown, by employing professional data processing algorithms for data cleaning and aggregation, complex and diverse user scenario data and mining area data can be transformed into an equivalent multi-condition load spectrum of a certain duration.

[0055] This invention designs a multi-condition load spectrum based on extensive measured data from mining areas. This allows for more accurate simulation of the user's operating environment and more reliable virtual verification, providing more realistic, systematic, and comprehensive load data for vehicle fatigue and durability simulation. By designing a multi-condition load spectrum, sufficient virtual simulation verification can be performed during the vehicle R&D design phase, significantly reducing the number of physical tests, greatly shortening the R&D cycle, and lowering development costs.

[0056] Step S2: Construct a multibody dynamics model of the whole vehicle.

[0057] In one embodiment of the multi-condition load spectrum design method for mining dump trucks of the present invention, step S2 may specifically include:

[0058] Step S21: Use the mechanical system dynamics simulation software (Automatic Dynamic Analysis of Mechanical Systems, Adams) to construct a virtual prototype model, model each subsystem and each component separately, and obtain multiple component virtual prototype models.

[0059] Among them, such as Figure 3As shown, the virtual prototype models of each component include: leaf spring virtual prototype model, steering axle virtual prototype model, middle axle air suspension model, rear axle air suspension model, fully floating cab suspension virtual prototype model, steering system virtual prototype model, powertrain virtual prototype model, and tire virtual prototype model.

[0060] Step S22: Assemble the virtual prototype models of each component into a multibody dynamics model of the whole vehicle.

[0061] Step S3: Use the multi-condition load spectrum data as input excitation for the vehicle multibody dynamics model to perform virtual reliability verification on the vehicle multibody dynamics model and obtain the multi-condition load spectrum of the components.

[0062] Specifically, the multi-condition load spectrum data is used as the input excitation of the vehicle multibody dynamics model. The dynamic simulation technology of the virtual prototype is used to perform virtual reliability verification on the vehicle multibody dynamics model. Virtual force acquisition devices and acceleration acquisition devices are arranged at key points of multiple assemblies of the vehicle to obtain the multi-condition load spectrum of the components.

[0063] Specifically, such as Figure 4 As shown, the assembly includes a cab assembly, a drive motor assembly, a traction saddle assembly, a power battery assembly, a front suspension assembly, a rear suspension assembly, and other assemblies.

[0064] Among them, such as Figure 4 As shown, the key points corresponding to the cab assembly include: the left front hinge point of the cab, the right front hinge point of the cab, the lower mounting point of the left rear airbag of the cab, and the lower mounting point of the right rear airbag of the cab.

[0065] The key points corresponding to the drive motor assembly include: the front left mounting point of the drive motor, the front right mounting point of the drive motor, the rear left mounting point of the drive motor, and the rear right mounting point of the drive motor.

[0066] The key points corresponding to the traction saddle assembly include: the left fixing point of the traction saddle and the right fixing point of the traction saddle.

[0067] The key points corresponding to the power battery assembly include: power battery mounting points;

[0068] The key points corresponding to the front suspension assembly include: the front left front point of the front suspension leaf spring, the front right front point of the front suspension leaf spring, the left mounting point of the front suspension shock absorber frame, the right mounting point of the front suspension shock absorber frame, the left rear point of the front suspension leaf spring, and the right rear point of the front suspension leaf spring.

[0069] The key points corresponding to the rear suspension assembly include: the second axle left front airbag mounting point, the second axle right front airbag mounting point, the second axle left shock absorber mounting point, the second axle right shock absorber mounting point, the second axle left rear airbag mounting point, the second axle right rear airbag mounting point, the rear axle left hanger, the rear axle right hanger, the third axle left front airbag mounting point, the third axle right front airbag mounting point, the third axle left shock absorber mounting point, the third axle right shock absorber mounting point, the third axle left rear airbag mounting point, and the third axle right rear airbag mounting point;

[0070] Key points corresponding to the other assemblies include: battery brake air compressor mounting points.

[0071] like Figure 5 As shown, by using virtual force and acceleration collectors located at key points corresponding to each assembly of the vehicle, the longitudinal load spectrum, lateral load spectrum, and vertical load spectrum of the components under various scenarios are obtained.

[0072] Step S4: Using the multi-condition load spectrum of the components as external excitation input, perform strength simulation on the whole vehicle chassis and fatigue durability simulation on key components.

[0073] Specifically, CAE structural simulation technology is used to perform strength simulation on the entire vehicle chassis and fatigue durability simulation on key components using the multi-condition load spectrum of the components as external excitation input, so as to evaluate the strength performance and life index of each key component and thus provide reliable virtual verification data for scheme design. Figure 6 The diagram shows a simulation of the chassis strength of a mining dump truck. Figure 7 This diagram illustrates the fatigue durability simulation of the power battery bracket of a mining dump truck. Because the fatigue durability simulation is based on actual measured data from real-world usage scenarios of mining dump trucks, it more accurately simulates the actual usage scenarios of the vehicle compared to simulations using typical standard operating conditions, resulting in higher simulation precision and more thorough validation of the proposed solution.

[0074] The multi-condition load spectrum design method for mining dump trucks provided in this invention utilizes virtual verification technology to conduct thorough verification and iteration during the design phase, rather than relying on actual vehicle testing, thus meeting the iterative needs of rapid product development. Based on a large amount of measured road spectrum data from real-world usage scenarios, the method performs data cleaning and aggregation to extract typical multi-condition load spectrum data. Using advanced data processing algorithms, this data is fitted into equivalent road spectrum data of a certain duration to more realistically simulate the actual dynamic loads on various vehicle components. This provides more realistic, systematic, and comprehensive load data for vehicle fatigue and durability simulation.

[0075] The embodiments of this disclosure have now been described in detail. To avoid obscuring the concept of this disclosure, some details known in the art have not been described. Those skilled in the art can fully understand how to implement the technical solutions disclosed herein based on the above description.

[0076] While specific embodiments of this disclosure have been described in detail by way of examples, those skilled in the art should understand that the examples are for illustrative purposes only and not intended to limit the scope of this disclosure. Those skilled in the art should understand that modifications can be made to the above embodiments or equivalent substitutions can be made to some technical features without departing from the scope and spirit of this disclosure. The scope of this disclosure is defined by the appended claims.

Claims

1. A multi-condition load spectrum design method for mining dump trucks, characterized in that, include: Based on road spectrum data from real-world mining scenarios, acquire multi-condition load spectrum data; Construct a multibody dynamics model of the whole vehicle; The multi-condition load spectrum data is used as the input excitation of the vehicle multibody dynamics model to perform virtual reliability verification on the vehicle multibody dynamics model and obtain the multi-condition load spectrum of the components. Using the multi-condition load spectrum of the aforementioned components as external excitation input, strength simulation of the entire vehicle chassis is performed, and fatigue durability simulation of key components is performed.

2. The multi-condition load spectrum design method for mining dump trucks according to claim 1, characterized in that, The method of obtaining multi-condition load spectrum data based on road spectrum data from real-world mining scenarios includes: Based on road spectrum data from a large number of real user scenarios in mining areas, the data is cleaned and aggregated to uncover the actual driving scenarios of mining dump trucks. Based on the actual driving scenarios of the mining dump trucks excavated, the speed and location information were compared and referenced to obtain multi-condition load spectrum data of the mining dump trucks. The multi-condition load spectrum data of mining dump trucks are processed to obtain multi-condition load spectrum data.

3. The multi-condition load spectrum design method for mining dump trucks according to claim 2, characterized in that, The process of processing the multi-condition load spectrum data of the mining dump truck to obtain multi-condition load spectrum data includes: The multi-condition load spectrum data of the mining dump truck was processed using Matlab and Python programs to obtain multi-condition load spectrum data with a duration of 20 seconds.

4. The multi-condition load spectrum design method for mining dump trucks according to claim 3, characterized in that, The 20-second multi-condition load spectrum data includes: a 14-second constant speed condition, a 3-second acceleration condition, a 2-second braking condition, and a 1-second turning condition. The 14-second constant speed condition includes: a 2.426-second constant speed condition at 30 km / h, a 3.712-second constant speed condition at 60 km / h, and a 7.862-second constant speed condition at 90 km / h. The 3-second acceleration condition includes: an initial velocity of 40 km / h and an acceleration of 3 m / s². 2 The braking condition with a duration of 2 seconds includes: an initial speed of 40 km / h and a deceleration of 5 m / s². 2 The turning condition with a duration of 1 second includes a turning speed of 30 km / h.

5. The multi-condition load spectrum design method for mining dump trucks according to claim 1, characterized in that, The construction of the vehicle multibody dynamics model includes: A virtual prototype model was constructed using mechanical system dynamics simulation software. Each subsystem and component was modeled separately to obtain multiple virtual prototype models of individual components. The virtual prototype models of each component are assembled into a multibody dynamics model of the whole vehicle.

6. The multi-condition load spectrum design method for mining dump trucks according to claim 5, characterized in that, The virtual prototype models of each component include: leaf spring virtual prototype model, steering axle virtual prototype model, middle axle air suspension model, rear axle air suspension model, fully floating cab suspension virtual prototype model, steering system virtual prototype model, powertrain virtual prototype model, and tire virtual prototype model.

7. The multi-condition load spectrum design method for mining dump trucks according to claim 1, characterized in that, The step of using the multi-condition load spectrum data as input excitation for the vehicle multibody dynamics model to perform virtual reliability verification on the vehicle multibody dynamics model and obtain the multi-condition load spectrum of components includes: The multi-condition load spectrum data is used as the input excitation of the vehicle multibody dynamics model. The dynamic simulation technology of virtual prototype is used to perform virtual reliability verification on the vehicle multibody dynamics model. Virtual force acquisition devices and acceleration acquisition devices are arranged at key points of multiple assemblies of the vehicle to obtain the multi-condition load spectrum of the components.

8. The multi-condition load spectrum design method for mining dump trucks according to claim 7, characterized in that, The assembly includes a cab assembly, a drive motor assembly, a traction saddle assembly, a power battery assembly, a front suspension assembly, a rear suspension assembly, and other assemblies. The key points corresponding to the cab assembly include: the left front hinge point of the cab, the right front hinge point of the cab, the lower mounting point of the left rear airbag of the cab, and the lower mounting point of the right rear airbag of the cab. The key points corresponding to the drive motor assembly include: the front left mounting point of the drive motor, the front right mounting point of the drive motor, the rear left mounting point of the drive motor, and the rear right mounting point of the drive motor. The key points corresponding to the traction saddle assembly include: the left fixing point of the traction saddle and the right fixing point of the traction saddle. The key points corresponding to the power battery assembly include: power battery mounting points; The key points corresponding to the front suspension assembly include: the front left front point of the front suspension leaf spring, the front right front point of the front suspension leaf spring, the left mounting point of the front suspension shock absorber frame, the right mounting point of the front suspension shock absorber frame, the left rear point of the front suspension leaf spring, and the right rear point of the front suspension leaf spring. The key points corresponding to the rear suspension assembly include: the second axle left front airbag mounting point, the second axle right front airbag mounting point, the second axle left shock absorber mounting point, the second axle right shock absorber mounting point, the second axle left rear airbag mounting point, the second axle right rear airbag mounting point, the rear axle left hanger, the rear axle right hanger, the third axle left front airbag mounting point, the third axle right front airbag mounting point, the third axle left shock absorber mounting point, the third axle right shock absorber mounting point, the third axle left rear airbag mounting point, and the third axle right rear airbag mounting point; Key points corresponding to the other assemblies include: battery brake air compressor mounting points.

9. The multi-condition load spectrum design method for mining dump trucks according to claim 1, characterized in that, The method of using the multi-condition load spectrum of the aforementioned components as external excitation input to perform strength simulation of the entire vehicle chassis and fatigue durability simulation of key components includes: Using CAE structural simulation technology, the multi-condition load spectrum of the components is used as the external excitation input to perform strength simulation on the whole vehicle chassis and fatigue durability simulation on key components, so as to evaluate the strength performance and life index of each key component.

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