Body-in-white torsional rigidity target setting method and device, terminal and medium

Abstract

The invention discloses a body-in-white torsional rigidity target setting method and device, a terminal and a medium, and belongs to the technical field of vehicles, and the method comprises the following steps: obtaining basic vehicle type body-in-white related data, and determining a basic vehicle type torsional rigidity target value according to the basic vehicle type body-in-white related data; according to the basic vehicle type wheelbase, the developed vehicle type wheelbase and the basic vehicle type torsional rigidity target value in the basic vehicle type body-in-white related data, determining a developed vehicle type torsional rigidity target value; and obtaining a vehicle type development cycle and a torsional rigidity annual growth rate, and obtaining a final torsional rigidity target value according to the developed vehicle type torsional rigidity target value, the vehicle type development cycle and the torsional rigidity annual growth rate. According to the method, it is better guaranteed that the newly developed vehicle type has good control and NVH performance in the market.

Description

Technical Field

[0001] The invention discloses a method, a device, a terminal and a medium for setting a torsional stiffness target of a body in white, and belongs to the technical field of vehicles. Background Art

[0002] Torsional stiffness is an important indicator for measuring the vehicle's handling and NVH performance. Most domestic car companies are "followers". In the development stage, they dismantle and test mainstream models to obtain data, and there is no fixed setting method. The development cycle of a new model is generally 3-4 years. The goals set in the early stage of development are no longer competitive when the model is launched. With the rise of new energy forces and the continuous implementation of new materials and new processes, domestic brands are transforming from "followers" to "leaders". More and more consumers pay attention to the handling and NVH quality of the whole vehicle, and the torsional stiffness of various new models is constantly improving. The existing method of setting the torsional stiffness target of the body in white is inefficient and cannot meet the requirements of good handling and NVH performance of newly developed models when they are launched. Summary of the invention

[0003] In view of the defects of the prior art, the present invention proposes a method, device, terminal and medium for setting a torsional stiffness target of a body in white, so as to solve the problem that the existing method for setting a torsional stiffness target of a body in white is inefficient and cannot meet the requirements of good handling and NVH performance of newly developed models before they are launched on the market.

[0004] The technical solution of the present invention is as follows:

[0005] According to a first aspect of an embodiment of the present invention, a method for setting a torsional stiffness target of a body in white is provided, comprising:

[0006] Acquiring body-in-white data related to a base vehicle model, and determining a target value of torsional stiffness of the base vehicle model according to the body-in-white data related to the base vehicle model;

[0007] Determining a target value of torsional stiffness of a development vehicle model according to a wheelbase of a base vehicle model, a wheelbase of a development vehicle model, and a target value of torsional stiffness of a base vehicle model in the body-in-white related data of the base vehicle model;

[0008] The vehicle model development cycle and the annual growth rate of torsional stiffness are obtained, and a final torsional stiffness target value is obtained according to the torsional stiffness target value of the developed vehicle model, the vehicle model development cycle and the annual growth rate of torsional stiffness.

[0009] Preferably, the base vehicle body-in-white related data include: the wheelbase of the development vehicle, the roll angle stiffness of the whole vehicle, the length of the vehicle, the width of the vehicle, the height of the vehicle, and functions related to the body-in-white mass and vehicle usage classification.

[0010] Preferably, determining the torsional stiffness target value of the basic vehicle model according to the body-in-white related data of the basic vehicle model includes:

[0011] The base model body-in-white related data is used to determine the base model torsional stiffness target value through formula (1):

[0012]

[0013] in:

[0014] C T0 is the target value of torsional stiffness, K roll is the roll stiffness of the vehicle, L is the length of the vehicle, W is the width of the vehicle, H is the height of the vehicle, and f(M,C) is a function of the body-in-white mass and vehicle usage classification.

[0015] Preferably, the step of determining the target torsional stiffness value of the development vehicle model according to the wheelbase of the base vehicle model, the wheelbase of the development vehicle model and the target torsional stiffness value of the base vehicle model in the body-in-white related data of the base vehicle model comprises:

[0016] When the wheelbase of the base model is the same as the wheelbase of the development model:

[0017] The target value of torsional stiffness of the base vehicle model is the same as the target value of torsional stiffness of the development vehicle model;

[0018] When the wheelbase of the base model is different from the wheelbase of the development model:

[0019] Obtain the wheelbase difference between the base model and the derived model and the torsional stiffness correction coefficient, and determine the target torsional stiffness of the development model using formula (2):

[0020] C T1 =C T0 +B Δ C (2)

[0021] Where: C T1 To develop the target value of vehicle torsional stiffness, C T0 is the target value of torsional stiffness of the basic vehicle, B Δ is the difference between the wheelbase of the basic model and the wheelbase of the derivative model, and C is the torsional stiffness correction factor.

[0022] Preferably, the final torsional stiffness target value is obtained according to the torsional stiffness target value of the developed vehicle model, the vehicle model development cycle and the annual growth rate of torsional stiffness, including:

[0023] The target value of torsional stiffness of the developed vehicle model, the vehicle model development cycle and the annual growth rate of torsional stiffness are used to obtain the final target value of torsional stiffness through formula (3):

[0024] C′ T1 =C T1 (1+t) n * (3)

[0025] Where: C′ T1 is the final torsional stiffness target value, t is the annual growth rate of torsional stiffness, and n is the vehicle model development cycle.

[0026] According to a second aspect of an embodiment of the present invention, there is provided a device for setting a torsional stiffness target of a body in white, comprising:

[0027] A first automated processing module is used to obtain body-in-white related data of a base vehicle model, and determine a torsional stiffness target value of the base vehicle model according to the body-in-white related data of the base vehicle model;

[0028] A second automated processing module is used to determine a target value of torsional stiffness of a development vehicle model according to a wheelbase of a base vehicle model, a wheelbase of a development vehicle model and a target value of torsional stiffness of a base vehicle model in the body-in-white related data of the base vehicle model;

[0029] The third automated processing module is used to obtain the vehicle model development cycle and the annual growth rate of torsional stiffness, and obtain the final torsional stiffness target value according to the torsional stiffness target value of the developed vehicle model, the vehicle model development cycle and the annual growth rate of torsional stiffness.

[0030] Preferably, the first automated processing module is used to:

[0031] The base model body-in-white related data is used to determine the base model torsional stiffness target value through formula (1):

[0032]

[0033] in:

[0034] C T0 is the target value of torsional stiffness, K roll is the roll stiffness of the vehicle, L is the length of the vehicle, W is the width of the vehicle, H is the height of the vehicle, and f(M,C) is a function of the body-in-white mass and vehicle usage classification.

[0035] Preferably, the second automated processing module is used to:

[0036] When the wheelbase of the base model is the same as the wheelbase of the development model:

[0037] The target value of torsional stiffness of the base vehicle model is the same as the target value of torsional stiffness of the development vehicle model;

[0038] When the wheelbase of the base model is different from the wheelbase of the development model:

[0039] Obtain the wheelbase difference between the base model and the derived model and the torsional stiffness correction coefficient, and determine the target torsional stiffness of the development model using formula (2):

[0040] CT1 =C T0 +B Δ C (2)

[0041] Where: C T1 To develop the target value of vehicle torsional stiffness, C T0 is the target value of torsional stiffness of the basic vehicle, B Δ is the difference between the wheelbase of the basic model and the wheelbase of the derivative model, and C is the torsional stiffness correction factor.

[0042] According to a third aspect of an embodiment of the present invention, a terminal is provided, including:

[0043] one or more processors;

[0044] a memory for storing the one or more processor-executable instructions;

[0045] Wherein, the one or more processors are configured to:

[0046] Execute the method described in the first aspect of the embodiment of the present invention.

[0047] According to a fourth aspect of an embodiment of the present invention, a non-temporary computer-readable storage medium is provided. When instructions in the storage medium are executed by a processor of a terminal, the terminal is enabled to execute the method described in the first aspect of the embodiment of the present invention.

[0048] According to a fifth aspect of an embodiment of the present invention, an application product is provided. When the application product is running on a terminal, the terminal executes the method described in the first aspect of the embodiment of the present invention.

[0049] The beneficial effects of the present invention are:

[0050] The present invention provides a method, device, terminal and medium for setting a torsional stiffness target of a body-in-white. The method obtains body-in-white related data of a base model, determines a torsional stiffness target value of the base model, determines a torsional stiffness target value of a development model according to the wheelbase of the base model, the wheelbase of the development model and the torsional stiffness target value of the base model in the body-in-white related data of the base model, and obtains a final torsional stiffness target value according to the torsional stiffness target value of the development model, the model development cycle and the annual growth rate of torsional stiffness, so as to better ensure that the newly developed model has good handling and NVH performance when it is launched on the market.

[0051] It is to be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] Figure 1 The figure is a flow chart of a method for setting a torsional stiffness target of a body in white according to an exemplary embodiment.

[0053] Figure 2 It is a schematic diagram of a partial structure of a vehicle in a method for setting a torsional stiffness target of a body in white according to an exemplary embodiment.

[0054] Figure 3 It is a schematic diagram of a partial structure of a vehicle according to an exemplary embodiment of a method for setting a torsional stiffness target of a body in white.

[0055] Figure 4 The figure is a simplified diagram of a vehicle structure according to an exemplary embodiment of a method for setting a torsional stiffness target of a body in white.

[0056] Figure 5 The figure is a schematic structural block diagram of a device for setting a torsional stiffness target of a body in white according to an exemplary embodiment.

[0057] Figure 6 The present invention is a schematic block diagram of a terminal structure according to an exemplary embodiment. DETAILED DESCRIPTION

[0058] The technical solution of the present invention will be described clearly and completely below in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0059] In the description of the present invention, it should be noted that the terms "center", "up", "down", "left", "right", "vertical", "horizontal", "inside", "outside", etc. indicate directions or positional relationships based on the directions or positional relationships shown in the accompanying drawings. They are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific direction, be constructed and operated in a specific direction. Therefore, they cannot be understood as limitations on the present invention.

[0060] In the description of the present invention, it should be noted that, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0061] An embodiment of the present invention provides a method for setting a torsional stiffness target of a body in white. The method is implemented by a terminal. The terminal may be a desktop computer or a laptop computer, etc. The terminal at least includes a CPU, etc.

[0062] Embodiment 1

[0063] Figure 1 The present invention is a flow chart of a method for setting a torsional stiffness target of a body in white according to an exemplary embodiment. The method is used in a terminal and comprises the following steps:

[0064] Step 101, obtaining body-in-white data of a base model, and determining a torsional stiffness target value of the base model according to the body-in-white data of the base model, the specific contents are as follows:

[0065] like Figure 2 As shown, the front wheel track is t 1 mm, rear track t 2 mm, front and rear suspension stiffness is εN / mm. The roll stiffness of the vehicle is calculated, K roll =K roll frant +K roll rear , where d 1 It is the absolute value of the Z displacement of the point where the X coordinate on the left longitudinal beam coincides with the X coordinate of the shock absorber center. 2 is the absolute value of the Z displacement of the point where the X coordinate on the right longitudinal beam coincides with the X coordinate of the shock absorber center. The overall equivalent stiffness is required to be K eff As close as possible to the vehicle's roll stiffness K roll The actual body in white is a flexible deformable body. Right now Consider that this value is always less than 1. Therefore, the torsional rigidity of the car body must be high enough.

[0066] The body-in-white data of the base model include: the wheelbase of the development model, the roll stiffness of the whole vehicle, the length of the vehicle, the width of the vehicle, the height of the vehicle, and functions of the body-in-white mass and vehicle usage classification.

[0067] The relevant data of the base model body-in-white are used to determine the target value of the base model torsional stiffness through formula (1):

[0068]

[0069] in:

[0070] C T0 is the target value of torsional stiffness, K rollIt is the roll stiffness of the whole vehicle, and its value depends on the suspension parameters. L is the length of the vehicle, W is the width of the vehicle, H is the height of the vehicle, and f(M,C) is a function of the body-in-white mass and vehicle usage classification. It is used to adjust the torsional stiffness target value to meet different usage conditions and performance requirements. The body-in-white mass does not include doors, front and rear end covers and is expressed in kilograms. Vehicle usage classifications include urban driving, off-road, and highway.

[0071] Step 102, determining the target torsional stiffness value of the development model according to the wheelbase of the base model, the wheelbase of the development model and the target torsional stiffness value of the base model in the body-in-white related data of the base model, the specific contents are as follows:

[0072] When the wheelbase of the base model is the same as that of the development model:

[0073] The target value for torsional stiffness of the base model is the same as that of the development model;

[0074] When the wheelbase of the base model is different from the wheelbase of the development model:

[0075] Obtain the wheelbase difference between the base model and the derived model and the torsional stiffness correction coefficient, and determine the target torsional stiffness of the development model using formula (2):

[0076] C T1 =C T0 +B Δ C (2)

[0077] Where: C T1 To develop the target value of vehicle torsional stiffness, C T0 is the target value of torsional stiffness of the basic vehicle, B Δ is the difference between the wheelbase of the basic model and the wheelbase of the derivative model, C is the torsional stiffness correction coefficient, and the preferred value is 8.5-9.0.

[0078] Step 103, obtaining the vehicle model development cycle and the annual growth rate of torsional stiffness, and obtaining the final torsional stiffness target value according to the torsional stiffness target value of the developed vehicle model, the vehicle model development cycle and the annual growth rate of torsional stiffness, the specific contents are as follows:

[0079] In order to ensure that the developed models have better vehicle handling performance and NVH performance when they are launched on the market, it is necessary to set a more advanced torsional stiffness target based on the development cycle and the basic situation of the industry. Therefore, the torsional stiffness target value of the developed model, the model development cycle and the annual growth rate of torsional stiffness are used to obtain the final torsional stiffness target value through formula (3):

[0080] C′ T1 =C T1 (1+t) n * (3)

[0081] Where: C′ T1 is the final target value of torsional stiffness, t is the annual growth rate of torsional stiffness, preferably between 4% and 6%, and n is the vehicle development cycle.

[0082] According to the above setting steps, the specific examples are as follows:

[0083] The derivative model of the original platform is defined as urban driving, with a front track of 1620mm, a rear track of 1630mm, and a front and rear suspension stiffness of 24.7N / mm. The body-in-white mass target is no more than 325kg. The wheelbase of the original platform initial model is 2800mm, and the length, width and height of the vehicle are 4820*1890*1480mm; the wheelbase of the derivative model is 2900mm, and the length, width and height of the vehicle are temporarily defined according to the original platform model. According to Hooke's law, the front and rear suspensions are equivalent to the parallel connection of springs, K roll =K roll frant +K roll rear ,like Figure 3 As shown, the roll angle K of the vehicle is calculated by this formula roll =1020Nm / °. The overall equivalent stiffness is K eff The roll stiffness of the vehicle is approximately equivalent to K roll Considering that the actual body-in-white is a flexible deformable body, in order to ensure K eff As close as possible to the initial design stiffness K roll , then K body To get as close as possible to a rigid body, such as Figure 4 shown.

[0084] Initial torsional stiffness C T0 Target value

[0085] in Where C is 13, which is determined based on historical data and experimental results. T0 =20927Nm / °

[0086] The derivative model has a wheelbase 100mm longer than the base model, and the initial torsional rigidity of the derivative model is C T0 Target value

[0087] C T1 =C T0 +C TΔ =21827Nm / °

[0088] The development cycle is 3 years, and the final torsional stiffness target for the derivative model is set as:

[0089] C′ T1 =C T1 (1+t) n =25267Nm / °

[0090] Embodiment 2

[0091] Figure 5 1 is a schematic structural diagram of a device for setting a torsional stiffness target of a body in white according to an exemplary embodiment, the device comprising:

[0092] The first automated processing module 210 is used to obtain body-in-white data related to a base vehicle model, and determine a torsional stiffness target value of the base vehicle model according to the body-in-white data related to the base vehicle model;

[0093] A second automatic processing module 220 is used to determine a target value of torsional stiffness of a development model according to a wheelbase of a base model, a wheelbase of a development model and a target value of torsional stiffness of a base model in the body-in-white related data of the base model;

[0094] The third automated processing module 230 is used to obtain the vehicle model development cycle and the annual growth rate of torsional stiffness, and obtain the final torsional stiffness target value according to the torsional stiffness target value of the developed vehicle model, the vehicle model development cycle and the annual growth rate of torsional stiffness.

[0095] Preferably, the first automated processing module 210 is used to:

[0096] The base model body-in-white related data is used to determine the base model torsional stiffness target value through formula (1):

[0097]

[0098] in:

[0099] C T0 is the target value of torsional stiffness, K roll is the roll stiffness of the vehicle, L is the length of the vehicle, W is the width of the vehicle, H is the height of the vehicle, and f(M,C) is the body-in-white mass and vehicle usage classification.

[0100] Preferably, the second automated processing module 220 is used to:

[0101] When the wheelbase of the base model is the same as the wheelbase of the development model:

[0102] The target value of torsional stiffness of the base vehicle model is the same as the target value of torsional stiffness of the development vehicle model;

[0103] When the wheelbase of the base model is different from the wheelbase of the development model:

[0104] Obtain the wheelbase difference between the base model and the derived model and the torsional stiffness correction coefficient, and determine the target torsional stiffness of the development model using formula (2):

[0105] C T1 =CT0 +B Δ C (2)

[0106] Where: C T1 To develop the target value of vehicle torsional stiffness, C T0 is the target value of torsional stiffness of the basic vehicle, B Δ is the difference between the wheelbase of the basic model and the wheelbase of the derivative model, and C is the torsional stiffness correction factor.

[0107] This application obtains the relevant data of the base model body-in-white, determines the target value of the torsional stiffness of the base model, determines the target value of the torsional stiffness of the development model according to the base model wheelbase, the development model wheelbase and the target value of the torsional stiffness of the base model in the relevant data of the base model body-in-white, and obtains the final target value of the torsional stiffness according to the target value of the torsional stiffness of the development model, the model development cycle and the annual growth rate of torsional stiffness, so as to better ensure that the newly developed model has good handling and NVH performance when it is launched on the market.

[0108] Embodiment 3

[0109] Figure 6 300 is a block diagram of a terminal provided in an embodiment of the present application, and the terminal may be a terminal in the above embodiment. The terminal 300 may be a portable mobile terminal, such as a smart phone or a tablet computer. The terminal 300 may also be referred to as a user equipment, a portable terminal, or other names.

[0110] Typically, the terminal 300 includes a processor 301 and a memory 302 .

[0111] The processor 301 may include one or more processing cores, such as a 4-core processor, an 8-core processor, etc. The processor 301 may be implemented in at least one hardware form of DSP (Digital Signal Processing), FPGA (Field-Programmable Gate Array), and PLA (Programmable Logic Array). The processor 301 may also include a main processor and a coprocessor. The main processor is a processor for processing data in the awake state, also known as a CPU (Central Processing Unit); the coprocessor is a low-power processor for processing data in the standby state. In some embodiments, the processor 301 may be integrated with a GPU (Graphics Processing Unit), which is responsible for rendering and drawing the content to be displayed on the display screen. In some embodiments, the processor 301 may also include an AI (Artificial Intelligence) processor, which is used to process computing operations related to machine learning.

[0112] The memory 302 may include one or more computer-readable storage media, which may be tangible and non-transitory. The memory 302 may also include a high-speed random access memory and a non-volatile memory, such as one or more disk storage devices and flash memory storage devices. In some embodiments, the non-transitory computer-readable storage medium in the memory 302 is used to store at least one instruction, which is executed by the processor 301 to implement a body-in-white torsional stiffness target setting method provided in the present application.

[0113] In some embodiments, the terminal 300 may further include: a peripheral device interface 303 and at least one peripheral device. Specifically, the peripheral device includes: at least one of a radio frequency circuit 304 , a touch screen 305 , a camera 306 , an audio circuit 307 , a positioning component 308 and a power supply 309 .

[0114] The peripheral device interface 303 may be used to connect at least one peripheral device related to I / O (Input / Output) to the processor 301 and the memory 302. In some embodiments, the processor 301, the memory 302, and the peripheral device interface 303 are integrated on the same chip or circuit board; in some other embodiments, any one or two of the processor 301, the memory 302, and the peripheral device interface 303 may be implemented on a separate chip or circuit board, which is not limited in this embodiment.

[0115] The radio frequency circuit 304 is used to receive and transmit RF (Radio Frequency) signals, also known as electromagnetic signals. The radio frequency circuit 304 communicates with the communication network and other communication devices through electromagnetic signals. The radio frequency circuit 304 converts electrical signals into electromagnetic signals for transmission, or converts received electromagnetic signals into electrical signals. Optionally, the radio frequency circuit 304 includes: an antenna system, an RF transceiver, one or more amplifiers, a tuner, an oscillator, a digital signal processor, a codec chipset, a user identity module card, and the like. The radio frequency circuit 304 can communicate with other terminals through at least one wireless communication protocol. The wireless communication protocol includes but is not limited to: the World Wide Web, a metropolitan area network, an intranet, various generations of mobile communication networks (2G, 3G, 4G and 5G), a wireless local area network and / or a WiFi (Wireless Fidelity) network. In some embodiments, the radio frequency circuit 304 may also include circuits related to NFC (Near Field Communication), which is not limited in this application.

[0116] The touch display screen 305 is used to display the UI (User Interface). The UI may include graphics, text, icons, videos and any combination thereof. The touch display screen 305 also has the ability to collect touch signals on the surface or above the surface of the touch display screen 305. The touch signal can be input to the processor 301 as a control signal for processing. The touch display screen 305 is used to provide virtual buttons and / or virtual keyboards, also known as soft buttons and / or soft keyboards. In some embodiments, the touch display screen 305 can be one, and the front panel of the terminal 300 is set; in other embodiments, the touch display screen 305 can be at least two, which are respectively set on different surfaces of the terminal 300 or are folded; in some other embodiments, the touch display screen 305 can be a flexible display screen, which is set on the curved surface or folded surface of the terminal 300. Even, the touch display screen 305 can also be set to a non-rectangular irregular shape, that is, a special-shaped screen. The touch display screen 305 can be made of materials such as LCD (Liquid Crystal Display) and OLED (Organic Light-Emitting Diode).

[0117] The camera assembly 306 is used to capture images or videos. Optionally, the camera assembly 306 includes a front camera and a rear camera. Typically, the front camera is used to realize video calls or selfies, and the rear camera is used to realize the shooting of photos or videos. In some embodiments, there are at least two rear cameras, which are any one of a main camera, a depth of field camera, and a wide-angle camera, so as to realize the fusion of the main camera and the depth of field camera to realize the background blur function, and the fusion of the main camera and the wide-angle camera to realize panoramic shooting and VR (Virtual Reality) shooting functions. In some embodiments, the camera assembly 306 may also include a flash. The flash can be a monochrome temperature flash or a dual-color temperature flash. A dual-color temperature flash refers to a combination of a warm light flash and a cold light flash, which can be used for light compensation at different color temperatures.

[0118] The audio circuit 307 is used to provide an audio interface between the user and the terminal 300. The audio circuit 307 may include a microphone and a speaker. The microphone is used to collect sound waves from the user and the environment, and convert the sound waves into electrical signals and input them into the processor 301 for processing, or input them into the radio frequency circuit 304 to achieve voice communication. For the purpose of stereo acquisition or noise reduction, there may be multiple microphones, which are respectively arranged at different parts of the terminal 300. The microphone may also be an array microphone or an omnidirectional acquisition microphone. The speaker is used to convert the electrical signal from the processor 301 or the radio frequency circuit 304 into sound waves. The speaker may be a traditional film speaker or a piezoelectric ceramic speaker. When the speaker is a piezoelectric ceramic speaker, it can not only convert the electrical signal into sound waves audible to humans, but also convert the electrical signal into sound waves inaudible to humans for purposes such as ranging. In some embodiments, the audio circuit 307 may also include a headphone jack.

[0119] The positioning component 308 is used to locate the current geographical location of the terminal 300 to implement navigation or LBS (Location Based Service). The positioning component 308 can be a positioning component based on the US GPS (Global Positioning System), China's Beidou system or Europe's Galileo system.

[0120] The power supply 309 is used to power various components in the terminal 300. The power supply 309 can be an alternating current, a direct current, a disposable battery, or a rechargeable battery. When the power supply 309 includes a rechargeable battery, the rechargeable battery can be a wired rechargeable battery or a wireless rechargeable battery. A wired rechargeable battery is a battery charged through a wired line, and a wireless rechargeable battery is a battery charged through a wireless coil. The rechargeable battery can also be used to support fast charging technology.

[0121] In some embodiments, the terminal 300 further includes one or more sensors 310 , including but not limited to: an acceleration sensor 311 , a gyroscope sensor 312 , a pressure sensor 313 , a fingerprint sensor 314 , an optical sensor 315 , and a proximity sensor 316 .

[0122] The acceleration sensor 311 can detect the magnitude of acceleration on the three coordinate axes of the coordinate system established by the terminal 300. For example, the acceleration sensor 311 can be used to detect the components of gravity acceleration on the three coordinate axes. The processor 301 can control the touch display screen 305 to display the user interface in a horizontal view or a vertical view according to the gravity acceleration signal collected by the acceleration sensor 311. The acceleration sensor 311 can also be used for collecting game or user motion data.

[0123] The gyro sensor 312 can detect the body direction and rotation angle of the terminal 300. The gyro sensor 312 can cooperate with the acceleration sensor 311 to collect the user's 3D (3 Dimensions) action on the terminal 300. The processor 301 can implement the following functions based on the data collected by the gyro sensor 312: motion sensing (such as changing the UI according to the user's tilt operation), image stabilization during shooting, game control, and inertial navigation.

[0124] The pressure sensor 313 can be set on the side frame of the terminal 300 and / or the lower layer of the touch display screen 305. When the pressure sensor 313 is set on the side frame of the terminal 300, it can detect the user's holding signal of the terminal 300, and perform left and right hand recognition or shortcut operation according to the holding signal. When the pressure sensor 313 is set on the lower layer of the touch display screen 305, it can control the operability control on the UI interface according to the user's pressure operation on the touch display screen 305. The operability control includes at least one of a button control, a scroll bar control, an icon control, and a menu control.

[0125] The fingerprint sensor 314 is used to collect the user's fingerprint to identify the user's identity based on the collected fingerprint. When the user's identity is identified as a trusted identity, the processor 301 authorizes the user to perform relevant sensitive operations, including unlocking the screen, viewing encrypted information, downloading software, paying, and changing settings. The fingerprint sensor 314 can be set on the front, back, or side of the terminal 300. When a physical button or a manufacturer logo is set on the terminal 300, the fingerprint sensor 314 can be integrated with the physical button or the manufacturer logo.

[0126] The optical sensor 315 is used to collect the ambient light intensity. In one embodiment, the processor 301 can control the display brightness of the touch display screen 305 according to the ambient light intensity collected by the optical sensor 315. Specifically, when the ambient light intensity is high, the display brightness of the touch display screen 305 is increased; when the ambient light intensity is low, the display brightness of the touch display screen 305 is reduced. In another embodiment, the processor 301 can also dynamically adjust the shooting parameters of the camera assembly 306 according to the ambient light intensity collected by the optical sensor 315.

[0127] The proximity sensor 316, also called a distance sensor, is usually arranged on the front of the terminal 300. The proximity sensor 316 is used to collect the distance between the user and the front of the terminal 300. In one embodiment, when the proximity sensor 316 detects that the distance between the user and the front of the terminal 300 is gradually decreasing, the processor 301 controls the touch display screen 305 to switch from the screen-on state to the screen-off state; when the proximity sensor 316 detects that the distance between the user and the front of the terminal 300 is gradually increasing, the processor 301 controls the touch display screen 305 to switch from the screen-off state to the screen-on state.

[0128] Those skilled in the art will understand that Figure 6 The structure shown in the figure does not constitute a limitation on the terminal 300, and the terminal 300 may include more or less components than those shown in the figure, or combine some components, or adopt a different component arrangement.

[0129] Embodiment 4

[0130] In an exemplary embodiment, a computer-readable storage medium is further provided, on which a computer program is stored. When the program is executed by a processor, a method for setting a target torsional stiffness of a body-in-white provided in all the inventive embodiments of the present application is implemented.

[0131] Any combination of one or more computer-readable media may be used. A computer-readable medium may be a computer-readable signal medium or a computer-readable storage medium. A computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination thereof. More specific examples (a non-exhaustive list) of computer-readable storage media include: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof. In this document, a computer-readable storage medium may be any tangible medium containing or storing a program that may be used by or in conjunction with an instruction execution system, device, or device.

[0132] Computer-readable signal media may include a data signal propagated in baseband or as part of a carrier wave, which carries a computer-readable program code. Such propagated data signals may take a variety of forms, including, but not limited to, electromagnetic signals, optical signals, or any suitable combination of the above. Computer-readable signal media may also be any computer-readable medium other than a computer-readable storage medium, which may send, propagate, or transmit a program for use by or in conjunction with an instruction execution system, apparatus, or device.

[0133] Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.

[0134] Computer program code for performing the operations of the present invention may be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, C++, and conventional procedural programming languages ​​such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a separate software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0135] Embodiment 5

[0136] In an exemplary embodiment, an application product is also provided, including one or more instructions, which can be executed by the processor 301 of the above-mentioned device to complete the above-mentioned body-in-white torsional stiffness target setting method.

[0137] Although the embodiments of the present invention have been disclosed above, they are not limited to the applications listed in the specification and the embodiments. It can be fully applied to various fields suitable for the present invention. For those familiar with the art, additional modifications can be easily realized. Therefore, without departing from the general concept defined by the claims and equivalent scope, the present invention is not limited to the specific details and the illustrations shown and described here.

Claims

1. A method for setting a torsional stiffness target of a body in white, characterized in that: include: Acquiring body-in-white data related to a base vehicle model, and determining a target value of torsional stiffness of the base vehicle model according to the body-in-white data related to the base vehicle model; Determining a target value of torsional stiffness of a development vehicle model according to a wheelbase of a base vehicle model, a wheelbase of a development vehicle model, and a target value of torsional stiffness of a base vehicle model in the body-in-white related data of the base vehicle model; The vehicle model development cycle and the annual growth rate of torsional stiffness are obtained, and a final torsional stiffness target value is obtained according to the torsional stiffness target value of the developed vehicle model, the vehicle model development cycle and the annual growth rate of torsional stiffness.

2. A method for setting a torsional stiffness target of a body in white according to claim 1, characterized in that: The base vehicle body-in-white related data include: the wheelbase of the development vehicle, the roll angle stiffness of the whole vehicle, the length of the vehicle, the width of the vehicle, the height of the vehicle, and functions related to the body-in-white mass and vehicle usage classification.

3. The method for setting a torsional stiffness target of a body in white according to claim 1, characterized in that: The step of determining the torsional stiffness target value of the basic vehicle model according to the body-in-white related data of the basic vehicle model comprises: The base model body-in-white related data is used to determine the base model torsional stiffness target value through formula (1): Where: C T0 is the target value of torsional stiffness, K roll is the roll stiffness of the vehicle, L is the length of the vehicle, W is the width of the vehicle, H is the height of the vehicle, and f(M,C) is a function of the body-in-white mass and vehicle usage classification.

4. The method for setting a torsional stiffness target of a body in white according to claim 1, characterized in that: Determining the target value of torsional stiffness of the development vehicle model according to the wheelbase of the basic vehicle model, the wheelbase of the development vehicle model and the target value of torsional stiffness of the basic vehicle model in the body-in-white related data of the basic vehicle model includes: When the wheelbase of the base model is the same as the wheelbase of the development model: The target value of torsional stiffness of the base vehicle model is the same as the target value of torsional stiffness of the development vehicle model; When the wheelbase of the base model is different from the wheelbase of the development model: Obtain the wheelbase difference between the base model and the derived model and the torsional stiffness correction coefficient, and determine the target torsional stiffness of the development model using formula (2): C T1 =C T0 +B Δ C (2) Where: C T1 To develop the target value of vehicle torsional stiffness, C T0 is the target value of torsional stiffness of the basic vehicle, B Δ is the difference between the wheelbase of the basic model and the wheelbase of the derivative model, and C is the torsional stiffness correction factor.

5. The method for setting a torsional stiffness target of a body in white according to claim 1, characterized in that: The final torsional stiffness target value is obtained according to the torsional stiffness target value of the developed vehicle model, the vehicle model development cycle and the annual growth rate of torsional stiffness, including: The target value of torsional stiffness of the developed vehicle model, the vehicle model development cycle and the annual growth rate of torsional stiffness are used to obtain the final target value of torsional stiffness through formula (3): C′ T1 =C T1 (1+t) n * (3) Where: C′ T1 is the final torsional stiffness target value, t is the annual growth rate of torsional stiffness, and n is the vehicle model development cycle.

6. A body-in-white torsional stiffness target setting device, characterized in that: include: A first automated processing module is used to obtain body-in-white related data of a base vehicle model, and determine a torsional stiffness target value of the base vehicle model according to the body-in-white related data of the base vehicle model; A second automated processing module is used to determine a target value of torsional stiffness of a development vehicle model according to a wheelbase of a base vehicle model, a wheelbase of a development vehicle model and a target value of torsional stiffness of a base vehicle model in the body-in-white related data of the base vehicle model; The third automated processing module is used to obtain the vehicle model development cycle and the annual growth rate of torsional stiffness, and obtain the final torsional stiffness target value according to the torsional stiffness target value of the developed vehicle model, the vehicle model development cycle and the annual growth rate of torsional stiffness.

7. The torsional stiffness target setting device for a body-in-white according to claim 6, characterized in that: The first automated processing module is used to: The base model body-in-white related data is used to determine the base model torsional stiffness target value through formula (1): in: C T0 is the target value of torsional stiffness, K roll is the roll stiffness of the vehicle, L is the length of the vehicle, W is the width of the vehicle, H is the height of the vehicle, and f(M,C) is a function of the body-in-white mass and vehicle usage classification.

8. The torsional stiffness target setting device for a body-in-white according to claim 7, characterized in that: The second automated processing module is used to: When the wheelbase of the base model is the same as the wheelbase of the development model: The target value of torsional stiffness of the base vehicle model is the same as the target value of torsional stiffness of the development vehicle model; When the wheelbase of the base model is different from the wheelbase of the development model: Obtain the wheelbase difference between the base model and the derived model and the torsional stiffness correction coefficient, and determine the target torsional stiffness of the development model using formula (2): C T1 =C T0 +B Δ C (2) Where: C T1 To develop the target value of vehicle torsional stiffness, C T0 is the target value of torsional stiffness of the basic vehicle, B Δ is the difference between the wheelbase of the basic model and the wheelbase of the derivative model, and C is the torsional stiffness correction factor.

9. A terminal, characterized in that: include: one or more processors; a memory for storing the one or more processor-executable instructions; Wherein, the one or more processors are configured to: Execute a method for setting a torsional stiffness target for a body in white as described in any one of claims 1 to 5.

10. A non-transitory computer-readable storage medium, characterized in that: When the instructions in the storage medium are executed by a processor of a terminal, the terminal is enabled to execute a method for setting a torsional stiffness target of a body in white as described in any one of claims 1 to 5.

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