Hall effect-based gear shifter design method, device and apparatus, and storage medium

Abstract

The present invention relates to the field of automobile design and manufacturing. Disclosed are a Hall effect-based gear shifter design method, device and apparatus, and a storage medium. The method comprises: obtaining an existing gear shifter and testing same to collect magnetic field strength data of gears in the gear shifter; establishing a finite element model for the gear shifter and carrying out finite element simulation to obtain magnetic field strength data of the gears in the finite element model; comparing the obtained magnetic field strength data of the gear shifter with the obtained magnetic field strength data of the finite element model to verify the simulation reliability of the finite element model; and on the basis of a neural network model and the finite element model that passes the simulation reliability verification, optimizing gear shifter design parameters to determine optimal gear shifter design parameters. The present invention can improve the gear shifter research and development efficiency, and effectively ensure the accuracy of the work of Hall-effect based gear shifters.

Description

Hall effect-based gear shifter design method, equipment, storage medium and device Technical Field

[0001] The present invention relates to the field of automobile design and manufacturing, and in particular to a gear shifter design method, equipment, storage medium and device based on the Hall effect. Background Art

[0002] The Hall sensor is a magnetic field sensor made using the Hall effect. The Hall effect is described as follows: when current passes through a conductor in a magnetic field, the magnetic field exerts a force on the electrons in the conductor that is perpendicular to the direction of electron motion, thereby generating a voltage difference between the two ends of the conductor. For example, if a control current I is passed through both ends of a semiconductor wafer and a uniform magnetic field with a magnetic induction intensity of B is applied in the perpendicular direction of the wafer, then a potential difference of U will be generated in the direction perpendicular to the current and magnetic field. H Based on the basic principle of the Hall effect, a device capable of sensing magnetic induction intensity is made of semiconductor materials, called a Hall element. Hall elements have many advantages, such as sensitivity to magnetic fields, small size, simple structure, and long life. Therefore, they are widely used in measurement, computers, automobiles, and other fields.

[0003] The working principle of a Hall effect-based shifter is as follows: when a magnet approaches or moves away, that is, when the magnetic flux changes, the Hall element can output different voltage values. Based on the different voltage values, it is determined whether the current gear is D, M, or another gear. Because automatic shifters use the electromagnetic triggering principle, triggering the Hall sensor through a permanent magnet, and using non-contact control instead of traditional mechanical contact shifting, they reduce the occurrence of component failure accidents caused by long-term mechanical wear and increase the convenience and safety of shifting. In addition, the development and application of electric vehicles and hybrid vehicles have also promoted the use of automatic shifters. The stability of the shifter's operation is related to the stable operation of the vehicle. Therefore, how to improve the operating accuracy of Hall effect-based shifters is currently an issue that needs to be solved urgently. Summary of the Invention

[0004] The present application provides a Hall effect-based shifter design method, equipment, storage medium and device, which can improve the efficiency of shifter research and development and effectively ensure the working accuracy of the Hall effect-based shifter.

[0005] In a first aspect, an embodiment of the present application provides a method for designing a gear shifter based on the Hall effect, which specifically includes the following steps:

[0006] Obtain an existing gear shifter and conduct a test to collect magnetic field strength data for each gear position in the gear shifter;

[0007] Establishing a finite element model of the shifter and performing finite element simulation to obtain magnetic field strength data for each gear position in the finite element model;

[0008] The obtained shifter magnetic field strength data is compared with the finite element model magnetic field strength data to verify the simulation reliability of the finite element model;

[0009] Based on the neural network model and the finite element model that has passed the simulation reliability verification, the shifter design parameters are optimized to determine the optimal shifter design parameters.

[0010] In conjunction with the first aspect, in one embodiment, the shifter design parameter optimization based on the neural network model and the finite element model that has passed simulation reliability verification is performed to determine the optimal shifter design parameters, and the specific steps include:

[0011] Obtain a finite element model that has passed simulation reliability verification, and adjust the shifter design parameters of the obtained finite element model;

[0012] The adjusted finite element model is simulated to obtain simulation results, and the magnetoelectric conversion efficiency under different shifter design parameters is determined through a neural network model;

[0013] Compare the simulation results obtained after each finite element simulation to determine the optimal shifter design parameters;

[0014] Among them, the shifter design parameters include magnet shape, magnet size, and the relative position between the magnet and the magnetic sensitive chip. The relative position between the magnet and the magnetic sensitive chip includes the initial relative position of the magnet and the magnetic sensitive chip, and the relative position of the magnet and the magnetic sensitive chip at the end of movement.

[0015] In conjunction with the first aspect, in one embodiment,

[0016] The movement forms of the magnet in the shifter include linear movement, rotational movement and rocker movement;

[0017] The shapes of the magnets in the shifter include long strips and cylinders.

[0018] In conjunction with the first aspect, in one embodiment,

[0019] After determining the optimal design parameters of the shifter, the method further includes: conducting a prototype trial of the shifter based on the determined optimal design parameters of the shifter to provide guidance for actual production of the shifter;

[0020] The specific steps of trial-producing the shifter prototype include:

[0021] Based on the determined optimal shifter design parameters, determine the size of the magnet and the relative position between the magnet and the magnetic sensitive chip;

[0022] The magnet is mounted above the magnetic sensitive chip through a bracket, and the motion range of the magnet is limited on the bracket;

[0023] Drive the magnet to move above the magnetic sensor chip, and collect magnetic field strength data when the magnet moves to different positions through the development board connected to the magnetic sensor chip;

[0024] The magnetic field strength data is converted into high and low level signals to represent different gear information, providing guidance for the actual production of gear shifters.

[0025] In conjunction with the first aspect, in one embodiment,

[0026] When the magnet moves in a linear motion and is in the shape of a long strip, specifically: the magnet is driven to move linearly in the linear motion domain defined above the magnetic sensitive chip, and the development board connected to the magnetic sensitive chip is used to collect magnetic field strength data when the magnet moves to different positions;

[0027] When the magnet's motion is rotational and its shape is long and narrow, specifically: the magnet is driven to rotate within the rotational motion domain defined above the magnetic sensing chip, and the magnetic field strength data when the magnet moves to different positions is collected through a development board connected to the magnetic sensing chip;

[0028] When the magnet moves in the form of a rocker motion and is in the shape of a long strip, specifically: the magnet is driven to move in a circular motion within a rotational motion domain defined above the magnetic sensitive chip, and the magnetic field strength data when the magnet moves to different positions is collected through a development board connected to the magnetic sensitive chip.

[0029] In conjunction with the first aspect, in one embodiment,

[0030] When the magnet moves in a linear motion and is cylindrical in shape, specifically: the magnet is driven to move linearly within a linear motion domain defined above the magnetic sensing chip, and magnetic field strength data when the magnet moves to different positions is collected through a development board connected to the magnetic sensing chip;

[0031] When the magnet's motion is rotational and its shape is cylindrical, specifically: the magnet is driven to rotate within the rotational motion domain defined above the magnetic sensing chip, and the development board connected to the magnetic sensing chip collects magnetic field strength data when the magnet moves to different positions;

[0032] When the magnet's motion is a rocker motion and its shape is cylindrical, specifically: the magnet is driven to perform circular motion in the rotational motion domain defined above the magnetic sensitive chip, and the magnetic field strength data when the magnet moves to different positions is collected through a development board connected to the magnetic sensitive chip.

[0033] In combination with the first aspect, in one embodiment, the magnetic field strength data is the magnetic field strength in the x-axis, y-axis and z-axis directions in a three-dimensional coordinate system.

[0034] In a second aspect, an embodiment of the present application provides a Hall effect-based shifter design device, which includes a processor, a memory, and a Hall effect-based shifter design program stored in the memory and executable by the processor, wherein when the Hall effect-based shifter design program is executed by the processor, the steps of the Hall effect-based shifter design method described above are implemented.

[0035] In a third aspect, an embodiment of the present application provides a computer-readable storage medium, on which a Hall effect-based shifter design program is stored, wherein when the Hall effect-based shifter design program is executed by a processor, the steps of the above-mentioned Hall effect-based shifter design method are implemented.

[0036] In a fourth aspect, an embodiment of the present application provides a gear shifter design device based on the Hall effect, comprising:

[0037] A test module configured to obtain an existing gear shifter and perform a test to collect magnetic field strength data for each gear position in the gear shifter;

[0038] a simulation module configured to establish a finite element model of the shifter and perform finite element simulation to obtain magnetic field strength data for each gear position in the finite element model;

[0039] a comparison module configured to compare the obtained shifter magnetic field strength data with the finite element model magnetic field strength data to verify the simulation reliability of the finite element model;

[0040] The optimization module is configured to optimize the design parameters of the shifter based on the neural network model and the finite element model that has passed the simulation reliability verification, and determine the optimal design parameters of the shifter.

[0041] The beneficial effects of the technical solutions provided in the embodiments of the present application include:

[0042] By establishing a finite element model of the shifter and verifying the simulation reliability of the finite element model, the shifter design parameters are optimized based on the neural network model and the finite element model that has passed the simulation reliability verification, and the optimal shifter design parameters are determined, thereby realizing the Hall effect-based shifter design for different working conditions, solving the problem of long design cycle of automobile shifters, improving the shifter R&D efficiency, and effectively ensuring the working accuracy of the Hall effect-based shifter. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] FIG1 is a flow chart of a method for designing a gear shifter based on the Hall effect according to an embodiment of the present invention;

[0044] FIG2 is a schematic diagram of a prototype of a shifter when the magnet's motion is linear and its shape is a long strip;

[0045] FIG3 is a schematic diagram of a prototype of a shifter when the magnet's motion is rotational and its shape is a long strip;

[0046] FIG4 is a schematic diagram of a prototype of a shifter when the magnet's motion is a rocker motion and its shape is a long strip;

[0047] FIG5 is a schematic diagram of a prototype of a shifter when the magnet has a linear motion and a cylindrical shape;

[0048] FIG6 is a schematic diagram of a prototype of a shifter when the magnet's motion is rotational and its shape is cylindrical;

[0049] FIG7 is a schematic diagram of a prototype of a shifter when the magnet's motion is a rocker motion and its shape is cylindrical;

[0050] FIG8 is a schematic diagram of the hardware structure of a gear shifter design device based on the Hall effect;

[0051] FIG9 is a schematic diagram of the structure of a gear shifter design device based on the Hall effect. DETAILED DESCRIPTION

[0052] In order to enable those skilled in the art to better understand the present invention, the following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0053] An embodiment of the present invention provides a method for designing a shifter based on the Hall effect. First, a finite element simulation is performed on the Hall sensor. Then, the collected experimental data is compared with the simulation results to ensure the reliability and applicability of the simulation model. Then, a machine learning method is used to optimize the simulation results to obtain the optimal shifter design parameters. Finally, the optimal shifter design parameters are used to carry out prototype trial production. The present invention also provides structural models of different prototypes. Hall sensors for different working conditions are designed using the movement modes of various magnets to solve the problem of long design cycles for automobile shifters and improve the efficiency of shifter research and development. Accordingly, an embodiment of the present invention also provides a shifter design device based on the Hall effect, a computer-readable storage medium, and a shifter design apparatus based on the Hall effect.

[0054] In a first aspect, referring to FIG1 , an embodiment of the present invention provides a method for designing a gear shifter based on the Hall effect, which specifically includes the following steps:

[0055] S1: Obtain an existing shifter and conduct a test to collect magnetic field strength data for each gear position in the shifter; the magnetic field strength data is the magnetic field strength in the x-axis, y-axis, and z-axis directions in a three-dimensional coordinate system.

[0056] Existing shifter fixtures include linear and rocker motion. Specifically, a linear shifter fixture can be used for testing, and the host computer can collect magnetic field strength data in three directions for each gear. In the present invention, the gears include D, S, P, and N.

[0057] S2: Establishing a finite element model for the shifter and performing finite element simulation to obtain magnetic field strength data for each gear position in the finite element model.

[0058] Specifically, a finite element model including a magnet and a magnetic sensitive chip of the same size as in step S1 can be established in the Ansys Eelectromagnetic module to perform finite element simulation. Then, the magnetic field strength data in three directions of each gear position obtained in step S1 are compared with the magnetic field strength data in three directions of each gear position obtained by the finite element simulation. The magnetic field strength data of each gear position is verified to ensure the reliability of the finite element simulation, so that subsequent finite element models can be established according to the same modeling method to ensure the applicability of the finite element model method of the present invention.

[0059] S3: Compare the obtained magnetic field strength data of the shifter with the magnetic field strength data of the finite element model to verify the simulation reliability of the finite element model;

[0060] That is, by comparing the obtained shifter magnetic field strength data with the finite element model magnetic field strength data, the reliability of the finite element modeling method of the present invention is ensured, so that the same modeling method can be used to subsequently model finite element models of shifters of different structural types.

[0061] S4: Optimize the shifter design parameters based on the neural network model and the finite element model that has passed simulation reliability verification to determine the optimal shifter design parameters. Neural network models include random forest, linear regression, XGBOX, AdaBoosting, etc.

[0062] In the present invention, the shifter design parameters are optimized based on the neural network model and the finite element model that has passed the simulation reliability verification to determine the optimal shifter design parameters. The specific steps include:

[0063] S401: Obtain a finite element model that has passed simulation reliability verification, and adjust the shifter design parameters of the obtained finite element model. The shifter design parameters include magnet shape, magnet size, and the relative position between the magnet and the magnetic sensing chip. The relative position between the magnet and the magnetic sensing chip includes the initial relative position of the magnet and the magnetic sensing chip, and the relative position of the magnet and the magnetic sensing chip at the end of the movement. Furthermore, the shifter design parameters may also include the material of the magnet.

[0064] S402: Performing finite element simulation on the adjusted finite element model to obtain simulation results, and determining the magnetoelectric conversion efficiency under different shifter design parameters through a neural network model.

[0065] For adjusting the design parameters of the shifter, a single parameter and adjustment method can be adopted, and only one of the design parameters of the shifter is adjusted each time, and then the finite element simulation is performed again to obtain the simulation results.

[0066] S403: Compare the simulation results obtained after each finite element simulation to determine the optimal shifter design parameters.

[0067] The optimal shifter design parameters are determined as follows: after each adjustment of the shifter design parameters, a magnetic circuit model is established between the magnetic sensitive chip (sensitive element), the magnet (excitation magnetic source), and the target object (shifter), and a high-gain magnetic circuit is constructed inside the sensor module. Finite element design and simulation software are used to calculate the spacing between the magnetic sensitive chips, the spacing between the magnetic sensitive chip and the signal disk, the spacing between the magnetic sensitive chip and the magnet, as well as the material and shape of the magnetic sensitive chip. Machine learning methods such as neural network genetic algorithms are used to optimize the magneto-electric conversion efficiency, improve the magnetic signal conduction efficiency, further concentrate the magnetic field strength on the surface of the magnetic sensitive chip, and optimize the sensitivity of the sensor module. When the sensitivity is optimal, the optimal shifter design parameters can be obtained.

[0068] It should be noted that the magnets in the shifter can move in various forms, including linear, rotational, and rocker motion; and their shapes include elongated and cylindrical. After determining the optimal shifter design parameters, the process also involves prototype production based on these parameters and designing Hall effect-based shifters for various operating conditions to provide guidance for actual shifter production.

[0069] Conduct a prototype trial of the shifter. The specific steps include:

[0070] S411: Based on the determined optimal shifter design parameters, determine the size of the magnet and the relative position between the magnet and the magnetic sensitive chip;

[0071] Since there are many forms of movement of magnets and many shapes of magnets, a corresponding finite element model can be established based on the determined form of movement and shape of the magnets using the finite element model establishment method that has passed the reliability verification in step S2 of the present invention, so as to determine the magnet size in the shifter design parameters and the relative position between the magnet and the magnetic sensitive chip, so as to carry out the subsequent trial production of the shifter prototype.

[0072] S412: Mounting the magnet above the magnetic sensitive chip via a bracket, and limiting the motion domain of the magnet on the bracket; by limiting the motion domain of the magnet, the magnet can only move within the motion domain on the bracket.

[0073] S413: driving the magnet to move above the magnetic sensitive chip, and collecting magnetic field strength data when the magnet moves to different positions through a development board connected to the magnetic sensitive chip;

[0074] S414: Convert the magnetic field strength data into high and low level signals to represent different gear positions, providing guidance for actual shifter production. Specifically, the actual magnetic field strength data is compared with the data provided in the magnetic sensor chip product manual. The collected magnetic field strength data is then converted into high and low level signals to represent different gear positions.

[0075] In one possible implementation, when the magnet's motion is linear and its shape is a long strip, specifically: the magnet is driven to move linearly within a linear motion domain defined above the magnetic sensor chip, and magnetic field strength data is collected when the magnet moves to different positions via a development board connected to the magnetic sensor chip. Specifically, when the magnet's motion is linear and its shape is a long strip, the prototype production of the shifter specifically includes the following steps:

[0076] S501: For a magnet with linear motion and long strip shape, a finite element model is established. The established model is shown in Figure 2. After adjusting the length, width and height parameters of the magnet, simulation is performed to obtain the dimensional parameters of the magnet, and the residual magnetism strength and coercive force of the magnet are optimized. In addition, finite element simulation optimization is required for the initial relative position of the magnet and the magnetic sensitive chip, as well as the relative position of the magnet and the magnetic sensitive chip at the end point of motion, to determine the optimal shifter design parameters.

[0077] S502: Produce a prototype based on the determined optimal shifter design parameters. In Figure 2, A represents a magnet, which is a long strip; B represents a magnetic sensitive chip; C represents the linear motion domain limited to the magnet; and the black arrow represents the direction of motion of the magnet. The magnet is mounted on a bracket, and the linear motion of the magnet on the bracket can be activated by a corresponding switch, thereby adjusting the relative position between the magnet and the magnetic sensitive chip.

[0078] Furthermore, the bracket is provided with precise scales to achieve precise control of the linear motion of the magnet.

[0079] S503: The magnetic sensor chip is connected to the development board through wires, and the development board collects magnetic field strength data in three directions when the magnet is located at different positions.

[0080] S504: Compare the actual magnetic field strength data with the data provided in the magnetic sensor chip product manual, thereby converting the collected magnetic field strength data into high and low level signals to represent different gear information, providing guidance for the actual production of the gear shifter.

[0081] In one possible implementation, when the magnet's motion is rotational and its shape is an elongated strip, specifically: the magnet is driven to rotate within a rotational motion domain defined above the magnetic sensor chip, and magnetic field strength data is collected when the magnet moves to different positions via a development board connected to the magnetic sensor chip. Specifically, when the magnet's motion is rotational and its shape is an elongated strip, the prototype production of the shifter includes the following steps:

[0082] S511: For magnets with rotational motion and long strip shape, a finite element model is established. The established model is shown in Figure 3. After adjusting the length, width and height parameters of the magnet, simulation is performed to obtain the dimensional parameters of the magnet, and the residual magnetism strength and coercive force of the magnet are optimized. In addition, it is necessary to perform finite element simulation optimization on the initial relative position of the magnet and the magnetic sensitive chip, as well as the relative position of the magnet and the magnetic sensitive chip at the end point of motion, to determine the optimal shifter design parameters.

[0083] S512: Produce a prototype based on the determined optimal shifter design parameters. In Figure 3, A represents a magnet, which is a long strip; B represents a magnetic sensitive chip; C represents the rotational motion domain limited to the magnet; and the black arrow represents the rotational direction of the magnet. The magnet is mounted on a bracket, and the corresponding switch can be used to activate the magnet's own rotational motion on the bracket (i.e., rotational motion around its own central axis), thereby achieving adjustment of the relative position between the magnet and the magnetic sensitive chip.

[0084] Furthermore, the bracket is provided with precise scales, which can achieve precise control of the rotational motion of the magnet itself.

[0085] S513: The magnetic sensor chip is connected to the development board through wires. The development board collects magnetic field strength data in three directions when the magnet is at different positions.

[0086] S514: Compare the actual magnetic field strength data with the data provided in the magnetic sensor chip product manual, thereby converting the collected magnetic field strength data into high and low level signals to represent different gear information, providing guidance for the actual production of the gear shifter.

[0087] In one possible implementation, when the magnet's motion is a rocker and its shape is a long strip, specifically: the magnet is driven to perform circular motion within a rotational motion domain defined above the magnetic sensor chip, and magnetic field strength data is collected when the magnet moves to different positions using a development board connected to the magnetic sensor chip. Specifically, when the magnet's motion is a rocker and its shape is a long strip, the prototype production of the shifter includes the following steps:

[0088] S521: For a magnet with a long bar shape and a rocker motion, a finite element model is established. The established model is shown in FIG4 . After adjusting the length, width, and height parameters of the magnet, a simulation is performed to obtain the dimensional parameters of the magnet, and the residual magnetic strength and coercive force of the magnet are optimized. In addition, the initial relative position of the magnet and the magnetic sensitive chip, as well as the relative position of the magnet and the magnetic sensitive chip at the end of the motion, need to be optimized through finite element simulation to determine the optimal shifter design parameters.

[0089] S522: Produce a prototype based on the determined optimal shifter design parameters. In Figure 4, A represents a magnet, which is a long strip; B represents a magnetic-sensitive chip; C represents the rotational motion domain limited to the magnet; and the black arrow represents the circular motion direction of the magnet. The magnet is mounted on a bracket, and the corresponding switch can be used to activate the magnet's circular motion on the bracket (i.e., the bracket performs circular motion with a certain length as a radius), thereby achieving adjustment of the relative position between the magnet and the magnetic-sensitive chip.

[0090] Furthermore, the bracket is provided with precise scales, which can achieve precise control of the movement of the magnet rocker.

[0091] S523: The magnetic sensor chip is connected to the development board through wires. The development board collects magnetic field strength data in three directions when the magnet is at different positions.

[0092] S524: Compare the actual magnetic field strength data with the data provided in the magnetic sensor chip product manual, thereby converting the collected magnetic field strength data into high and low level signals to represent different gear information, providing guidance for the actual production of the gear shifter.

[0093] In one possible implementation, when the magnet moves linearly and is cylindrical in shape, specifically: the magnet is driven to move linearly within a linear motion domain defined above the magnetic sensing chip, and magnetic field strength data when the magnet moves to different positions is collected through a development board connected to the magnetic sensing chip. Specifically, when the magnet moves linearly and is cylindrical in shape, the prototype production of the shifter specifically includes the following steps:

[0094] S531: For magnets with linear motion and cylindrical shape, a finite element model is established. The established model is shown in Figure 5. After adjusting the length, width and height parameters of the magnet, simulation is performed to obtain the dimensional parameters of the magnet, and the residual magnetism strength and coercive force of the magnet are optimized. In addition, it is necessary to perform finite element simulation optimization on the initial relative position of the magnet and the magnetic sensitive chip, as well as the relative position of the magnet and the magnetic sensitive chip at the end point of motion, to determine the optimal shifter design parameters.

[0095] S532: Produce a prototype based on the determined optimal shifter design parameters. In Figure 5, A represents a cylindrical magnet, B represents a magnetic sensitive chip, C represents the linear motion domain defined for the magnet, and the black arrow represents the direction of motion of the magnet. The magnet is mounted on a bracket, and the linear motion of the magnet on the bracket can be activated by a corresponding switch, thereby adjusting the relative position between the magnet and the magnetic sensitive chip.

[0096] Furthermore, the bracket is provided with precise scales to achieve precise control of the linear motion of the magnet.

[0097] S533: The magnetic sensor chip is connected to the development board through wires. The development board collects magnetic field strength data in three directions when the magnet is at different positions.

[0098] S534: Compare the actual magnetic field strength data with the data provided in the magnetic sensor chip product manual, thereby converting the collected magnetic field strength data into high and low level signals to represent different gear information, providing guidance for the actual production of the shifter.

[0099] In one possible implementation, when the magnet's motion is rotational and its shape is cylindrical, specifically: the magnet is driven to rotate within a rotational motion domain defined above the magnetic sensing chip, and magnetic field strength data when the magnet moves to different positions is collected through a development board connected to the magnetic sensing chip. Specifically, when the magnet's motion is rotational and its shape is cylindrical, the prototype production of the shifter specifically includes the following steps:

[0100] S541: For a magnet with a rotational motion and a cylindrical shape, a finite element model is established. The established model is shown in FIG6 . After adjusting the length, width, and height parameters of the magnet, a simulation is performed to obtain the dimensional parameters of the magnet, and the residual magnetic strength and coercive force of the magnet are optimized. In addition, the initial relative position of the magnet and the magnetic sensitive chip, as well as the relative position of the magnet and the magnetic sensitive chip at the end point of the motion, need to be optimized by finite element simulation to determine the optimal shifter design parameters.

[0101] S542: Produce a prototype based on the determined optimal shifter design parameters. In Figure 6, A represents a cylindrical magnet, B represents a magnetic-sensitive chip, and C represents the rotational motion domain limited to the magnet. The black arrow indicates the direction of motion of the magnet. The magnet is mounted on a bracket, and the corresponding switch can be used to activate the magnet's own rotational motion on the bracket, thereby adjusting the relative position between the magnet and the magnetic-sensitive chip.

[0102] Furthermore, the bracket is provided with precise scales, which can achieve precise control of the rotational motion of the magnet itself.

[0103] S543: The magnetic sensor chip is connected to the development board through wires. The development board collects magnetic field strength data in three directions when the magnet is at different positions.

[0104] S544: Compare the actual magnetic field strength data with the data provided in the magnetic sensor chip product manual, and convert the collected magnetic field strength data into high and low level signals to represent different gear information, providing guidance for the actual production of the shifter.

[0105] In one possible implementation, when the magnet's motion is a rocker and its shape is cylindrical, the following steps are performed: the magnet is driven to perform circular motion within a rotational motion domain defined above the magnetic sensor chip, and magnetic field strength data is collected when the magnet moves to different positions via a development board connected to the magnetic sensor chip. Specifically, when the magnet's motion is a rocker and its shape is an elongated strip, the prototype production of the shifter includes the following steps:

[0106] S551: For a magnet with a cylindrical shape and a rocker motion, a finite element model is established. The established model is shown in Figure 7. After adjusting the length, width, and height parameters of the magnet, a simulation is performed to obtain the dimensional parameters of the magnet, and the residual magnetic strength and coercive force of the magnet are optimized. In addition, the initial relative position of the magnet and the magnetic sensitive chip, as well as the relative position of the magnet and the magnetic sensitive chip at the end of the motion, need to be optimized through finite element simulation to determine the optimal shifter design parameters.

[0107] S552: Produce a prototype based on the determined optimal shifter design parameters. In Figure 7, A represents a cylindrical magnet, B represents a magnetic-sensitive chip, and C represents the rotational motion domain defined for the magnet. The black arrow indicates the direction of motion of the magnet. The magnet is mounted on a bracket, and the corresponding switch can be used to activate the circular motion of the magnet on the bracket, thereby adjusting the relative position between the magnet and the magnetic-sensitive chip.

[0108] Furthermore, the bracket is provided with precise scales, which can achieve precise control of the circular motion of the magnet.

[0109] S553: ​​The magnetic sensor chip is connected to the development board through wires. The development board collects magnetic field strength data in three directions when the magnet is at different positions.

[0110] S554: Compare the actual magnetic field strength data with the data provided in the magnetic sensor chip product manual, and convert the collected magnetic field strength data into high and low level signals to represent different gear information, providing guidance for the actual production of the shifter.

[0111] The Hall effect-based shifter design method of the embodiment of the present invention establishes a finite element model of the shifter and verifies the simulation reliability of the finite element model. It optimizes the shifter design parameters based on the neural network model and the finite element model that has passed the simulation reliability verification, and determines the optimal shifter design parameters, thereby realizing the Hall effect-based shifter design for different working conditions, solving the problem of long design cycle of automobile shifters, improving the efficiency of shifter research and development, and effectively ensuring the working accuracy of the Hall effect-based shifter.

[0112] In a second aspect, an embodiment of the present application provides a gear shifter design device based on the Hall effect. The gear shifter design device based on the Hall effect can be a personal computer (PC), a laptop computer, a server, or other device with data processing capabilities.

[0113] 8, which is a schematic diagram of the hardware structure of a Hall effect-based shifter design device according to an embodiment of the present application, the Hall effect-based shifter design device may include a processor, a memory, a communication interface, and a communication bus.

[0114] The communication bus may be of any type and is used to interconnect the processor, memory, and communication interface.

[0115] Communication interfaces include input / output (I / O), physical, and logical interfaces, which interconnect components within the Hall-effect-based shifter design device and connect the device to other devices (such as other computing devices or user devices). Physical interfaces can include Ethernet, fiber optic, and ATM interfaces; user devices can include displays and keyboards.

[0116] The memory can be various types of storage media, such as random access memory (RAM), read-only memory (ROM), non-volatile RAM (NVRAM), flash memory, optical storage, hard disk, programmable ROM (PROM), erasable PROM (EPROM), electrically erasable PROM (EEPROM), etc.

[0117] The processor may be a general-purpose processor that can invoke a Hall-effect-based shifter design program stored in a memory and execute the Hall-effect-based shifter design method provided in the embodiments of the present application. For example, the general-purpose processor may be a central processing unit (CPU). The method executed when the Hall-effect-based shifter design program is invoked can be found in the various embodiments of the Hall-effect-based shifter design method of the present application and will not be further described here.

[0118] Those skilled in the art will understand that the hardware structure shown in FIG8 does not constitute a limitation on the present application, and may include more or fewer components than shown in the figure, or a combination of certain components, or a different arrangement of components.

[0119] In a third aspect, an embodiment of the present application also provides a computer-readable storage medium.

[0120] The computer-readable storage medium of the present application stores a gear shifter design program based on the Hall effect. When the gear shifter design program based on the Hall effect is executed by a processor, the following steps of the gear shifter design method based on the Hall effect are implemented:

[0121] Obtain an existing gear shifter and conduct a test to collect magnetic field strength data for each gear position in the gear shifter;

[0122] Establishing a finite element model of the shifter and performing finite element simulation to obtain magnetic field strength data for each gear position in the finite element model;

[0123] The obtained shifter magnetic field strength data is compared with the finite element model magnetic field strength data to verify the simulation reliability of the finite element model;

[0124] Based on the neural network model and the finite element model that has passed the simulation reliability verification, the shifter design parameters are optimized to determine the optimal shifter design parameters.

[0125] Among them, the method implemented when the Hall effect-based shifter design program is executed can refer to the various embodiments of the Hall effect-based shifter design method of this application, and will not be repeated here.

[0126] In a fourth aspect, as shown in FIG9 , an embodiment of the present invention provides a Hall effect-based shifter design device, which includes a test module, a simulation module, a comparison module, and an optimization module.

[0127] The test module is configured to obtain an existing shifter and conduct tests to collect magnetic field strength data for each gear in the shifter; the simulation module is configured to establish a finite element model of the shifter and perform finite element simulation to obtain magnetic field strength data for each gear in the finite element model; the comparison module is configured to compare the obtained shifter magnetic field strength data with the finite element model magnetic field strength data to verify the simulation reliability of the finite element model; the optimization module is configured to optimize the shifter design parameters based on the neural network model and the finite element model that has passed the simulation reliability verification to determine the optimal shifter design parameters.

[0128] The terms "including" and "having" and any variations thereof in the specification and claims of this application and the above-mentioned drawings are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not limited to the listed steps or units, but optionally includes steps or units that are not listed, or optionally includes other steps or units inherent to these processes, methods, products or devices. The terms "first", "second" and "third" are used to distinguish different objects, etc., and do not represent a sequence, nor do they limit the "first", "second" and "third" to different types.

[0129] In the description of the embodiments of this application, the words "exemplary," "for example," or "for example" are used to indicate examples, illustrations, or descriptions. Any embodiment or design described as "exemplary," "for example," or "for example" in the embodiments of this application should not be construed as being preferred or advantageous over other embodiments or designs. Rather, the use of words such as "exemplary," "for example," or "for example" is intended to present the relevant concepts in a concrete manner.

[0130] In the description of the embodiments of the present application, unless otherwise specified, “ / ” means or, for example, A / B can mean A or B; “and / or” in the text is merely a description of the association relationship of associated objects, indicating that three relationships may exist, for example, A and / or B can mean: A exists alone, A and B exist at the same time, and B exists alone. In addition, in the description of the embodiments of the present application, “multiple” refers to two or more than two.

[0131] In some processes described in the embodiments of the present application, multiple operations or steps are included that appear in a specific order. However, it should be understood that these operations or steps may not be performed in the order in which they appear in the embodiments of the present application or may be performed in parallel. The sequence numbers of the operations are only used to distinguish between different operations, and the sequence numbers themselves do not represent any order of execution. In addition, these processes may include more or fewer operations, and these operations or steps may be performed in sequence or in parallel, and these operations or steps may be combined.

[0132] Through the description of the above embodiments, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of software plus the necessary general hardware platform. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of this application, or the part that contributes to the existing technology, can be embodied in the form of a software product. This computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) as described above and includes a number of instructions for enabling a terminal device to execute the methods described in each embodiment of this application.

[0133] The above are only preferred embodiments of the present application and do not limit the patent scope of the present application. Any equivalent structure or equivalent process transformation made using the contents of the present application specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present application.

Claims

1. A shifter design method based on Hall effect, characterized in that: The specific steps include: Obtain an existing gear shifter and conduct a test to collect magnetic field strength data of each gear position in the gear shifter; Establishing a finite element model for the shifter and performing finite element simulation to obtain magnetic field strength data for each gear position in the finite element model; The obtained magnetic field strength data of the shifter is compared with the magnetic field strength data of the finite element model to verify the simulation reliability of the finite element model; Based on the neural network model and the finite element model that has passed the simulation reliability verification, the shifter design parameters are optimized to determine the optimal shifter design parameters.

2. A method for designing a gear shifter based on the Hall effect as claimed in claim 1, characterized in that: The shifter design parameter optimization is performed based on the neural network model and the finite element model that has passed the simulation reliability verification to determine the optimal shifter design parameters. The specific steps include: Acquire a finite element model that has passed simulation reliability verification, and adjust the shifter design parameters of the acquired finite element model; The adjusted finite element model is simulated to obtain simulation results, and the magneto-electric conversion efficiency under different shifter design parameters is determined through a neural network model; Compare the simulation results obtained after each finite element simulation to determine the optimal shifter design parameters; Among them, the shifter design parameters include magnet shape, magnet size, and the relative position between the magnet and the magnetic sensitive chip. The relative position between the magnet and the magnetic sensitive chip includes the initial relative position of the magnet and the magnetic sensitive chip, and the relative position of the movement end point of the magnet and the magnetic sensitive chip.

3. The method for designing a gear shifter based on the Hall effect as claimed in claim 1, characterized in that: The movement forms of the magnet in the shifter include linear movement, rotational movement and rocker movement; The shapes of the magnets in the shifter include long strips and cylinders.

4. A method for designing a gear shifter based on the Hall effect as claimed in claim 3, characterized in that: After determining the optimal design parameters of the shifter, the method further includes: conducting a prototype trial production of the shifter based on the determined optimal design parameters of the shifter to provide guidance for actual production of the shifter; The specific steps of trial manufacturing the shifter prototype include: Based on the determined optimal shifter design parameters, determine the size of the magnet and the relative position between the magnet and the magnetic sensitive chip; The magnet is mounted above the magnetic sensitive chip through a bracket, and the motion range of the magnet is limited on the bracket; Drive the magnet to move above the magnetic sensitive chip, and collect magnetic field strength data when the magnet moves to different positions through a development board connected to the magnetic sensitive chip; The magnetic field strength data is converted into high and low level signals to represent different gear information, providing guidance for the actual production of gear shifters.

5. A method for designing a gear shifter based on the Hall effect as claimed in claim 4, characterized in that: When the movement form of the magnet is linear movement and the shape is a long strip, specifically: the magnet is driven to move linearly in the linear movement domain defined above the magnetic sensitive chip, and the magnetic field strength data when the magnet moves to different positions is collected through a development board connected to the magnetic sensitive chip; When the movement form of the magnet is rotational movement and the shape is a long strip, specifically: the magnet is driven to rotate itself in the rotational movement domain defined above the magnetic sensitive chip, and the magnetic field strength data when the magnet moves to different positions is collected through a development board connected to the magnetic sensitive chip; When the movement form of the magnet is rocker movement and the shape is a long strip, specifically: the magnet is driven to perform circular motion in the rotational motion domain defined above the magnetic sensitive chip, and the magnetic field strength data when the magnet moves to different positions is collected through a development board connected to the magnetic sensitive chip.

6. A method for designing a gear shifter based on the Hall effect as claimed in claim 4, characterized in that: When the movement form of the magnet is linear movement and the shape is cylindrical, specifically: the magnet is driven to move linearly in the linear movement domain defined above the magnetic sensitive chip, and the magnetic field strength data when the magnet moves to different positions is collected through a development board connected to the magnetic sensitive chip; When the movement form of the magnet is rotational movement and the shape is cylindrical, specifically: the magnet is driven to rotate itself in the rotational movement domain defined above the magnetic sensitive chip, and the magnetic field strength data when the magnet moves to different positions is collected through the development board connected to the magnetic sensitive chip; When the movement form of the magnet is rocker movement and the shape is cylindrical, specifically: the magnet is driven to perform circular motion in the rotational motion domain defined above the magnetic sensitive chip, and the magnetic field strength data when the magnet moves to different positions is collected through a development board connected to the magnetic sensitive chip.

7. A method for designing a gear shifter based on the Hall effect according to any one of claims 1 to 6, characterized in that: The magnetic field strength data is the magnetic field strength in the x-axis, y-axis and z-axis directions in a three-dimensional coordinate system.

8. A gear shifter design device based on the Hall effect, characterized in that: The Hall effect-based shifter design device includes a processor, a memory, and a Hall effect-based shifter design program stored in the memory and executable by the processor, wherein when the Hall effect-based shifter design program is executed by the processor, the steps of the Hall effect-based shifter design method as described in any one of claims 1 to 7 are implemented.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a Hall-effect-based shifter design program, wherein when the Hall-effect-based shifter design program is executed by a processor, the steps of the Hall-effect-based shifter design method as claimed in any one of claims 1 to 7 are implemented.

10. A gear shifter design device based on Hall effect, characterized in that: include: A test module, which is configured to obtain an existing gear shifter and perform a test to collect magnetic field strength data of each gear position in the gear shifter; A simulation module, configured to establish a finite element model for the shifter and perform finite element simulation to obtain magnetic field strength data for each gear position in the finite element model; a comparison module configured to compare the obtained shifter magnetic field strength data with the finite element model magnetic field strength data to verify the simulation reliability of the finite element model; The optimization module is configured to optimize the design parameters of the shifter based on the neural network model and the finite element model that has passed the simulation reliability verification, and determine the optimal design parameters of the shifter.

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