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

Abstract

The application discloses a gear shifter design method and device based on a Hall effect, equipment, a storage medium and an apparatus, relates to the field of automobile design and manufacturing, and comprises the following steps: obtaining an existing gear shifter and performing a test, and collecting magnetic field intensity data of each gear position in the gear shifter; establishing a finite element model of the gear shifter and performing finite element simulation to obtain the magnetic field intensity data of each gear position in the finite element model; comparing the obtained gear shifter magnetic field intensity data with the finite element model magnetic field intensity data to verify the simulation reliability of the finite element model; based on a neural network model and the finite element model whose simulation reliability has passed the verification, optimizing gear shifter design parameters to determine optimal gear shifter design parameters. The application can improve the research and development efficiency of the gear shifter and effectively ensure the working accuracy of the gear shifter based on the Hall effect.

Description

Technical Field

[0001] This invention relates to the field of automobile design and manufacturing, and specifically to a method, device, storage medium, and apparatus for designing a gear shifter based on the Hall effect. Background Technology

[0002] A Hall sensor is a magnetic field sensor that utilizes the Hall effect. The Hall effect is described as follows: When an electric current passes through a conductor located in a magnetic field, the magnetic field exerts a force on the electrons in the conductor perpendicular to the direction of electron motion, thereby creating a voltage difference across the conductor. For example, if a control current I is passed through the two ends of a semiconductor wafer, and a uniform magnetic field with magnetic induction intensity B is applied perpendicular to the wafer, then a potential difference U will be generated in the direction perpendicular to both the current and the magnetic field. H The Hall effect is a semiconductor material used to create a device that can sense magnetic field strength, called a Hall element. Hall elements have many advantages, such as sensitivity to magnetic fields, small size, simple structure, and long lifespan, and are therefore widely used in measurement, computer, and automotive fields.

[0003] The working principle of a Hall effect-based gear shifter is as follows: when a magnet approaches or moves away, resulting in a change in magnetic flux, the Hall element outputs different voltage values. Based on these voltage values, the current gear is determined as D, M, or another gear. Because automatic gear shifters utilize electromagnetic triggering, a permanent magnet triggers the Hall sensor, replacing traditional mechanical contact shifting with non-contact control. This reduces the occurrence of component failures due to long-term mechanical wear, increasing shifting convenience and safety. Furthermore, the development and application of electric and hybrid vehicles have promoted the use of automatic gear shifters. The stability of the gear shifter's operation is crucial to the stable operation of the vehicle; therefore, improving the accuracy of Hall effect-based gear shifters is a pressing issue that needs to be addressed. Summary of the Invention

[0004] This application provides a design method, device, storage medium, and apparatus for a gear shifter based on the Hall effect, which can improve the efficiency of gear shifter development and effectively ensure the working accuracy of the gear shifter based on the Hall effect.

[0005] In a first aspect, embodiments of this application provide a gear shifter design method based on the Hall effect, specifically including the following steps:

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

[0007] A finite element model of the gear shifter was established and finite element simulation was performed to obtain the magnetic field strength data of each gear in the finite element model.

[0008] The obtained magnetic field strength data of the shifter was compared with the magnetic field strength data of the finite element model 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 simulation reliability verification, the design parameters of the gear shifter are optimized to determine the optimal gear shifter design parameters.

[0010] In conjunction with the first aspect, in one implementation, the optimization of gear shifter design parameters based on a neural network model and a finite element model that has passed simulation reliability verification, to determine the optimal gear shifter design parameters, specifically includes the following steps:

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

[0012] Finite element simulation was performed on the adjusted finite element model to obtain simulation results, and the magnetoelectric conversion efficiency under different shifter design parameters was determined by a neural network model.

[0013] By comparing the simulation results obtained after each finite element simulation, the optimal gear shifter design parameters are determined.

[0014] The design parameters of the shifter include the shape of the magnet, the size of the magnet, 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, as well as the relative position of the end point of the movement of the magnet and the magnetic sensitive chip.

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

[0016] The movement of the magnets in the shifter includes linear motion, rotational motion, and rocker motion.

[0017] The magnets in the shifter can be either elongated or cylindrical in shape.

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

[0019] After determining the optimal gear shifter design parameters, the process also includes, based on the determined optimal gear shifter design parameters, conducting a prototype production of the gear shifter to provide guidance for the actual production of the gear shifter.

[0020] The specific steps for manufacturing the gear shifter prototype include:

[0021] Based on the determined optimal shifter design parameters, the size of the magnet and the relative position between the magnet and the magnetic sensor chip are determined.

[0022] The magnet is mounted above the magnetically sensitive chip using a bracket, and the movement range of the magnet is limited on the bracket.

[0023] The magnet is driven to move above the magnetic sensor chip, and magnetic field strength data when the magnet moves to different positions is collected through a 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 implementation method,

[0026] When the magnet moves in a linear motion and is elongated in shape, specifically: the magnet is driven to move linearly within a linear motion domain defined above the magnetic sensor chip, and magnetic field strength data when the magnet moves to different positions is collected by a development board connected to the magnetic sensor chip.

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

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

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

[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 sensor chip, and magnetic field strength data when the magnet moves to different positions is collected by a development board connected to the magnetic sensor chip.

[0031] 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 sensor chip, and magnetic field strength data when the magnet moves to different positions is collected through a development board connected to the magnetic sensor chip.

[0032] When the magnet's motion is a rocker motion and its shape is cylindrical, specifically: the magnet is driven to perform circular motion within a rotational motion domain defined above the magnetic sensitive chip, and 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 conjunction 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] Secondly, embodiments of this application provide a gear shifter design device based on the Hall effect. The gear shifter design device based on the Hall effect includes a processor, a memory, and a gear shifter design program based on the Hall effect stored in the memory and executable by the processor. When the gear shifter design program based on the Hall effect is executed by the processor, it implements the steps of the gear shifter design method based on the Hall effect described above.

[0035] Thirdly, embodiments of this application provide a computer-readable storage medium storing a Hall effect-based gear shifter design program, wherein when the Hall effect-based gear shifter design program is executed by a processor, it implements the steps of the Hall effect-based gear shifter design method described above.

[0036] Fourthly, embodiments of this application provide a gear shifter design device based on the Hall effect, comprising:

[0037] The test module is used to acquire existing gear shifters and conduct tests, collecting magnetic field strength data for each gear position in the gear shifter.

[0038] The simulation module is used to establish a finite element model of the gear shifter and perform finite element simulation to obtain the magnetic field strength data of each gear in the finite element model.

[0039] The comparison module is used to compare the obtained magnetic field strength data of the shifter with the magnetic field strength data of the finite element model in order to verify the simulation reliability of the finite element model.

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

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

[0042] By establishing a finite element model of the gear shifter and verifying the simulation reliability of the finite element model, the design parameters of the gear shifter are optimized based on the neural network model and the finite element model that has passed the simulation reliability verification. The optimal design parameters of the gear shifter are determined, thereby realizing the design of a gear shifter based on the Hall effect under different working conditions. This solves the problem of long design cycle of automotive gear shifters, improves the R&D efficiency of gear shifters, and effectively ensures the working accuracy of the gear shifter based on the Hall effect. Attached Figure Description

[0043] Figure 1 This is a flowchart of a gear shifter design method based on the Hall effect in an embodiment of the present invention;

[0044] Figure 2A schematic diagram of a gear shifter prototype when the magnet's motion is linear and its shape is elongated.

[0045] Figure 3 A schematic diagram of a gear shifter prototype when the magnet's motion is rotational and its shape is elongated.

[0046] Figure 4 A schematic diagram of a prototype gear shifter when the magnet's motion is a rocker motion and its shape is elongated.

[0047] Figure 5 A schematic diagram of the prototype of the shifter when the magnet's motion is linear and its shape is cylindrical;

[0048] Figure 6 A schematic diagram of a gear shifter prototype when the magnet's motion is rotational and its shape is cylindrical;

[0049] Figure 7 A schematic diagram of the prototype of the gear shifter when the magnet's motion is a rocker motion and its shape is cylindrical;

[0050] Figure 8 A schematic diagram of the hardware structure of a gear shifter design device based on the Hall effect;

[0051] Figure 9 This is a schematic diagram of a gear shifter design device based on the Hall effect. Detailed Implementation

[0052] To enable those skilled in the art to better understand the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present application, and not all embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of the present application.

[0053] This invention provides a Hall effect-based gear shifter design method. First, a finite element simulation of the Hall sensor is performed. Then, the collected experimental data is compared with the simulation results to ensure the reliability and applicability of the simulation model. Next, machine learning methods are used to optimize the simulation results to obtain the optimal gear shifter design parameters. Finally, a prototype is manufactured using the optimal gear shifter design parameters. This invention also provides structural models for different prototypes. By utilizing various magnet motion modes, Hall sensors under different operating conditions are designed, solving the problem of long design cycles for automotive gear shifters and improving the efficiency of gear shifter development. This invention also provides a Hall effect-based gear shifter design device, a computer-readable storage medium, and a Hall effect-based gear shifter design apparatus.

[0054] Firstly, see [the following] Figure 1 As shown in the figure, the present invention provides a gear shifter design method based on the Hall effect, which specifically includes the following steps:

[0055] S1: Obtain an existing gear shifter and conduct an experiment to collect magnetic field strength data for each gear position in the gear 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 gear shifter fixtures include two types: linear movement and rocker arm movement. Specifically, experiments can be conducted using a linear movement gear shifter fixture, and the magnetic field strength data in three directions for each gear can be collected by a host computer. In this invention, the gears include D, S, P, and N.

[0057] S2: Establish a finite element model of the gear shifter and perform finite element simulation to obtain the magnetic field strength data of each gear in the finite element model.

[0058] Specifically, a finite element model including a magnet and a magnetic sensor chip of the same size as in step S1 can be created in the Ansys Electromagnetic module. Finite element simulation is then performed. The magnetic field strength data in the three directions for each gear position obtained in step S1 is compared with the magnetic field strength data in the three directions for each gear position obtained from the finite element simulation. The magnetic field strength data for each gear position is verified to ensure the reliability of the finite element simulation. This allows subsequent finite element models to be built using the same modeling method, ensuring the applicability of the finite element model method of this 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 magnetic field strength data of the gear shifter with the magnetic field strength data of the finite element model, the reliability of the finite element modeling method described in this invention is ensured, so that the same modeling method can be used to model finite element models of gear shifters with different structural types in the future.

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

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

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

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

[0065] To adjust the design parameters of the gear shifter, a single parameter adjustment method can be used. Each time, only one parameter in the gear shifter design parameters is adjusted, and then 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 gear shifter design parameters.

[0067] The determination of the optimal shifter design parameters is 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). A high-gain magnetic circuit is constructed inside the sensor module. The parameters such as 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, are calculated using finite element design and simulation software. The magneto-electric conversion efficiency is optimized using machine learning methods such as neural network genetic algorithms to 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 motion of the magnets in the gear shifter includes linear motion, rotational motion, and rocker motion; the shape of the magnets in the gear shifter includes elongated and cylindrical shapes. After determining the optimal gear shifter design parameters, the process also includes prototyping the gear shifter based on the determined optimal gear shifter design parameters, and designing the gear shifter based on the Hall effect under different operating conditions to provide guidance for the actual production of the gear shifter.

[0069] The specific steps for manufacturing a prototype gear shifter 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 sensor chip;

[0071] Since there are many types of magnet motion and magnet shapes, a corresponding finite element model can be established based on the determined magnet motion and shape using the finite element model establishment method verified in step S2 of this invention. This allows for the determination of the magnet size and the relative position between the magnet and the magnetic sensitive chip in the shifter design parameters, so as to carry out the subsequent trial production of the shifter prototype.

[0072] S412: The magnet is mounted above the magnetic sensitive chip by means of a bracket, and the motion domain of the magnet is limited on the bracket; by limiting the motion domain of the magnet, the magnet can only move in the corresponding domain on the bracket.

[0073] S413: Drives the magnet to move above the magnetic sensor chip and collects magnetic field strength data when the magnet moves to different positions through a development board connected to the magnetic sensor chip.

[0074] S414: Converts magnetic field strength data into high and low level signals to represent different gear information, providing guidance for the actual production of gear shifters. Specifically, it compares the actual magnetic field strength data with the data provided in the magnetic sensor chip's product manual, thereby converting the collected magnetic field strength data into high and low level signals to represent different gear information.

[0075] In one possible implementation, when the magnet's motion is linear and its shape is elongated, 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 by a development board connected to the magnetic sensor chip when the magnet moves to different positions. Specifically, when the magnet's motion is linear and its shape is elongated, the prototype manufacturing of the gear shifter includes the following steps:

[0076] S501: For a magnet with linear motion and a long, thin shape, a finite element model is established. See the established model for details. Figure 2 As shown, simulations were performed after adjusting the length, width, and height parameters of the magnet to obtain the magnet's dimensional parameters, and the remanence and coercivity of the magnet were optimized. In addition, finite element simulations were performed to optimize the initial relative position of the magnet and the magnetic sensor chip, as well as the relative position of the magnet and the magnetic sensor chip at the end of their motion, to determine the optimal shifter design parameters.

[0077] S502: Prototype manufacturing based on the determined optimal shifter design parameters. Figure 2 In the diagram, A represents a magnet, which is long and narrow; B represents a magnetic sensitive chip; C represents the linear motion domain defined for the magnet; and the black arrow indicates the direction of the magnet's movement. The magnet is mounted on a bracket, and its linear movement 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 support is equipped with precise scales, which enable precise control of the linear movement of the magnets;

[0079] S503: The magnetic sensor chip is connected to the development board via wires. The development board is responsible for collecting magnetic field strength data in three directions when the magnet is in different positions.

[0080] S504: Compares the actual magnetic field strength data with the data provided in the magnetic sensor chip product manual, and converts 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 elongated, specifically: the magnet is driven to rotate within a defined rotational motion domain above the magnetic sensor chip, and magnetic field strength data at different positions of the magnet is collected via a development board connected to the magnetic sensor chip. Specifically, when the magnet's motion is rotational and its shape is elongated, the prototype manufacturing of the gear shifter includes the following steps:

[0082] S511: For a magnet with rotational motion and a long, thin shape, a finite element model is established. See the established model for details. Figure 3 As shown, simulations were performed after adjusting the length, width, and height parameters of the magnet to obtain the magnet's dimensional parameters, and the remanence and coercivity of the magnet were optimized. In addition, finite element simulations were performed to optimize the initial relative position of the magnet and the magnetic sensor chip, as well as the relative position of the magnet and the magnetic sensor chip at the end of their motion, to determine the optimal shifter design parameters.

[0083] S512: Prototype manufacturing based on the determined optimal gear shifter design parameters. Figure 3 In the diagram, A represents a magnet, which is long and narrow; B represents a magnetic sensitive chip; C represents the rotational motion domain defined for the magnet; and the black arrow indicates the direction of the magnet's rotation. The magnet is mounted on a bracket, and its rotational motion on the bracket (i.e., rotational motion around its own central axis) can be activated by a corresponding switch, thereby adjusting the relative position between the magnet and the magnetic sensitive chip.

[0084] Furthermore, the support is equipped with precise scales, which allows for precise control of the magnet's rotational movement.

[0085] S513: The magnetic sensor chip is connected to the development board via wires. The development board is responsible for collecting magnetic field strength data in three directions when the magnet is in different positions.

[0086] S514: Compares the actual magnetic field strength data with the data provided in the magnetic sensor chip product manual, and converts 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 movement is a rocker motion and its shape is elongated, specifically: the magnet is driven to perform circular motion within a rotational motion domain defined above the magnetic sensitive chip, and magnetic field strength data at different positions of the magnet is collected via a development board connected to the magnetic sensitive chip. Specifically, when the magnet's movement is a rocker motion and its shape is elongated, the prototype manufacturing of the gear shifter includes the following steps:

[0088] S521: For a magnet with a rocker motion and a long, thin shape, a finite element model is established. See the model below for details. Figure 4 As shown, simulations were performed after adjusting the length, width, and height parameters of the magnet to obtain the magnet's dimensional parameters, and the remanence and coercivity of the magnet were optimized. In addition, finite element simulations were performed to optimize the initial relative position of the magnet and the magnetic sensor chip, as well as the relative position of the magnet and the magnetic sensor chip at the end of their motion, to determine the optimal shifter design parameters.

[0089] S522: Prototype manufacturing based on the determined optimal shifter design parameters. Figure 4 In the diagram, A represents a magnet, which is long and narrow; B represents a magnetic sensor chip; C represents the rotational motion domain defined for the magnet; and the black arrow indicates the direction of the magnet's circular motion. The magnet is mounted on a bracket, and its circular motion on the bracket (i.e., circular motion with a radius of a certain length on the bracket) can be activated by a corresponding switch, thereby adjusting the relative position between the magnet and the magnetic sensor chip.

[0090] Furthermore, the bracket is equipped with precise scales, which allows for precise control of the movement of the magnetic rocker.

[0091] S523: The magnetic sensor chip is connected to the development board via wires. The development board is responsible for collecting magnetic field strength data in three directions when the magnet is in different positions.

[0092] S524: Compares the actual magnetic field strength data with the data provided in the magnetic sensor chip product manual, and converts 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's motion is linear and its shape is cylindrical, specifically: the magnet is driven to move linearly within a linear motion domain defined above the magnetic sensor chip, and magnetic field strength data when the magnet moves to different positions is collected via a development board connected to the magnetic sensor chip; specifically, when the magnet's motion is linear and its shape is cylindrical, the prototype manufacturing of the shifter includes the following steps:

[0094] S531: For a cylindrical magnet with linear motion, a finite element model is established. The established model can be found in [reference needed]. Figure 5 As shown, simulations were performed after adjusting the length, width, and height parameters of the magnet to obtain the magnet's dimensional parameters, and the remanence and coercivity of the magnet were optimized. In addition, finite element simulations were performed to optimize the initial relative position of the magnet and the magnetic sensor chip, as well as the relative position of the magnet and the magnetic sensor chip at the end of their motion, to determine the optimal shifter design parameters.

[0095] S532: Prototype manufacturing based on the determined optimal gear shifter design parameters. Figure 5 In the diagram, A represents a cylindrical magnet, B represents a magnetic sensitive chip, and C represents the linear motion domain defined for the magnet. The black arrow indicates the direction of the magnet's movement. The magnet is mounted on a bracket, and its linear movement 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 support is equipped with precise scales, which enable precise control of the linear movement of the magnets;

[0097] S533: The magnetic sensor chip is connected to the development board via wires. The development board is responsible for collecting magnetic field strength data in three directions when the magnet is in different positions.

[0098] S534: Compares the actual magnetic field strength data with the data provided in the magnetic sensor chip product manual, and converts 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.

[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 sensor chip, and magnetic field strength data when the magnet moves to different positions is collected via a development board connected to the magnetic sensor chip; specifically, when the magnet's motion is rotational and its shape is cylindrical, the prototype manufacturing of the shifter includes the following steps:

[0100] S541: For a cylindrical magnet with rotational motion, a finite element model is established. See the established model for details. Figure 6As shown, simulations were performed after adjusting the length, width, and height parameters of the magnet to obtain the magnet's dimensional parameters, and the remanence and coercivity of the magnet were optimized. In addition, finite element simulations were performed to optimize the initial relative position of the magnet and the magnetic sensor chip, as well as the relative position of the magnet and the magnetic sensor chip at the end of their motion, to determine the optimal shifter design parameters.

[0101] S542: Prototype manufacturing based on the determined optimal shifter design parameters. Figure 6 In the diagram, 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 the magnet's movement. The magnet is mounted on a bracket, and its rotational motion on the bracket can be activated by a corresponding switch, thereby adjusting the relative position between the magnet and the magnetic sensitive chip.

[0102] Furthermore, the support is equipped with precise scales, which allows for precise control of the magnet's rotational movement.

[0103] S543: The magnetic sensor chip is connected to the development board via wires. The development board is responsible for collecting magnetic field strength data in three directions when the magnet is in different positions.

[0104] S544: Compares the actual magnetic field strength data with the data provided in the magnetic sensor chip product manual, and converts 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.

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

[0106] S551: For a cylindrical magnet with a rocker motion, a finite element model is established. See the model below for details. Figure 7 As shown, simulations were performed after adjusting the length, width, and height parameters of the magnet to obtain the magnet's dimensional parameters, and the remanence and coercivity of the magnet were optimized. In addition, finite element simulations were performed to optimize the initial relative position of the magnet and the magnetic sensor chip, as well as the relative position of the magnet and the magnetic sensor chip at the end of their motion, to determine the optimal shifter design parameters.

[0107] S552: Prototype manufacturing based on the determined optimal gear shifter design parameters. Figure 7In the diagram, 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 the magnet's movement. The magnet is mounted on a bracket, and its circular motion on the bracket can be activated by a corresponding switch, thereby adjusting the relative position between the magnet and the magnetic sensitive chip.

[0108] Furthermore, the support is equipped with precise scales, which allows for precise control of the magnet's circular motion;

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

[0110] S554: Compares the actual magnetic field strength data with the data provided in the magnetic sensor chip product manual, and converts 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.

[0111] The Hall effect-based gear shifter design method of this invention establishes a finite element model of the gear shifter and verifies the simulation reliability of the finite element model. Based on the neural network model and the finite element model whose simulation reliability has been verified, the design parameters of the gear shifter are optimized to determine the optimal gear shifter design parameters. This enables the design of a Hall effect-based gear shifter under different operating conditions, solves the problem of long design cycle of automotive gear shifters, improves the R&D efficiency of gear shifters, and effectively ensures the working accuracy of the Hall effect-based gear shifter.

[0112] Secondly, embodiments of this application provide 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] Reference Figure 8 , Figure 8 This is a schematic diagram of the hardware structure of a Hall effect-based gear shifter design device involved in the embodiments of this application. In the embodiments of this application, the Hall effect-based gear shifter design device may include a processor, a memory, a communication interface, and a communication bus.

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

[0115] The communication interface includes input / output (I / O) interfaces, physical interfaces, and logical interfaces used for interconnecting devices within the Hall effect-based shifter design device, as well as interfaces used for interconnecting the Hall effect-based shifter design device with other devices (such as other computing devices or user equipment). Physical interfaces can be Ethernet interfaces, fiber optic interfaces, ATM interfaces, etc.; user equipment can be displays, keyboards, etc.

[0116] 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 can be a general-purpose processor, which can call the Hall effect-based shifter design program stored in memory and execute the Hall effect-based shifter design method provided in the embodiments of this application. For example, the general-purpose processor can be a central processing unit (CPU). The method executed when the Hall effect-based shifter design program is called can be referred to the various embodiments of the Hall effect-based shifter design method of this application, and will not be repeated here.

[0118] Those skilled in the art will understand that Figure 8 The hardware structure shown does not constitute a limitation of this application and may include more or fewer components than shown, or combine certain components, or have different component arrangements.

[0119] Thirdly, embodiments of this application also provide a computer-readable storage medium.

[0120] This application stores a Hall effect-based gear shifter design program on a computer-readable storage medium, wherein when the Hall effect-based gear shifter design program is executed by a processor, it implements the steps of the Hall effect-based gear shifter design method described below:

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

[0122] A finite element model of the gear shifter was established and finite element simulation was performed to obtain the magnetic field strength data of each gear in the finite element model.

[0123] The obtained magnetic field strength data of the shifter was compared with the magnetic field strength data of the finite element model 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 simulation reliability verification, the design parameters of the gear shifter are optimized to determine the optimal gear shifter design parameters.

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

[0126] Fourthly, see Figure 9 As shown in the figure, an embodiment of the present invention provides a gear shifter design device based on the Hall effect, including an experimental module, a simulation module, a comparison module and an optimization module.

[0127] The testing module is used to acquire an existing gear shifter and conduct tests, collecting magnetic field strength data for each gear position in the gear shifter; the simulation module is used to establish a finite element model of the gear shifter and perform finite element simulation, obtaining magnetic field strength data for each gear position in the finite element model; the comparison module is used to compare the obtained gear 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 used to optimize the gear shifter design parameters based on the neural network model and the finite element model whose simulation reliability has been verified, determining the optimal gear shifter design parameters.

[0128] The terms "comprising" and "having," and any variations thereof, in the specification, claims, and accompanying drawings of this application are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or apparatus that includes a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units not listed, or may optionally include other steps or units inherent to such process, method, product, or apparatus. The terms "first," "second," and "third," etc., are used to distinguish different objects, etc., and do not indicate a sequence, nor do they limit "first," "second," and "third" to different types.

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

[0130] In the description of the embodiments of this application, unless otherwise stated, " / " means "or". For example, A / B can mean A or B. The "and / or" in the text is merely a description of the relationship between related objects, indicating that there can be three relationships. For example, A and / or B can mean: A exists alone, A and B exist simultaneously, and B exists alone. In addition, in the description of the embodiments of this application, "multiple" means two or more.

[0131] In some processes described in the embodiments of this application, multiple operations or steps are included in a specific order. However, it should be understood that these operations or steps may not be executed in the order they appear in the embodiments of this application, or they may be executed in parallel. The sequence number of the operation is only used to distinguish different operations, and the sequence number itself does not represent any execution order. In addition, these processes may include more or fewer operations, and these operations or steps may be executed sequentially or in parallel, and these operations or steps may be combined.

[0132] Through the above description of the embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus necessary general-purpose hardware platforms. 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, in essence, or the part that contributes to the prior art, 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 several instructions to cause a terminal device to execute the methods described in the various embodiments of this application.

[0133] The above are merely preferred embodiments of this application and do not limit the patent scope of this application. Any equivalent structural or procedural transformations made using the content of this application's specification and drawings, or direct or indirect applications in other related technical fields, are similarly included within the patent protection scope of this application.

Claims

1. A gear shifter design method based on the Hall effect, characterized in that, Specifically, the following steps are included: Obtain an existing gear shifter and conduct experiments to collect magnetic field strength data for each gear position in the gear shifter; A finite element model of the gear shifter was established and finite element simulation was performed to obtain the magnetic field strength data of each gear in the finite element model. The obtained magnetic field strength data of the shifter was 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 design parameters of the gear shifter are optimized to determine the optimal gear shifter design parameters. The optimization of gear shifter design parameters based on a neural network model and a finite element model that has passed simulation reliability verification, to determine the optimal gear shifter design parameters, includes the following specific steps: Obtain the finite element model that has passed the simulation reliability verification, and adjust the shifter design parameters of the obtained finite element model; Finite element simulation was performed on the adjusted finite element model to obtain simulation results, and the magnetoelectric conversion efficiency under different shifter design parameters was determined by a neural network model. By comparing the simulation results obtained after each finite element simulation, the optimal gear shifter design parameters are determined. The design parameters of the shifter include the shape of the magnet, the size of the magnet, 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, as well as the relative position of the end point of the movement of the magnet and the magnetic sensitive chip. The magnetic field strength data refers to the magnetic field strength along the x-axis, y-axis, and z-axis in a three-dimensional coordinate system.

2. The shifter design method based on the Hall effect as described in claim 1, characterized in that: The movement of the magnets in the shifter includes linear motion, rotational motion, and rocker motion. The magnets in the shifter can be either elongated or cylindrical in shape.

3. The shifter design method based on the Hall effect as described in claim 2, characterized in that: After determining the optimal gear shifter design parameters, the process also includes, based on the determined optimal gear shifter design parameters, conducting a prototype production of the gear shifter to provide guidance for the actual production of the gear shifter. The specific steps for manufacturing the gear shifter prototype include: Based on the determined optimal shifter design parameters, the size of the magnet and the relative position between the magnet and the magnetic sensor chip are determined. The magnet is mounted above the magnetically sensitive chip using a bracket, and the movement range of the magnet is limited on the bracket. The magnet is driven to move above the magnetic sensor chip, and magnetic field strength data when the magnet moves to different positions is collected through a development board connected to the magnetic sensor 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.

4. The shifter design method based on the Hall effect as described in claim 3, characterized in that: When the magnet moves in a linear motion and is elongated in shape, specifically: the magnet is driven to move linearly within a linear motion domain defined above the magnetic sensor chip, and magnetic field strength data when the magnet moves to different positions is collected by a development board connected to the magnetic sensor chip. When the magnet's motion is rotational and its shape is elongated, specifically: the magnet is driven to rotate within a rotational motion domain defined above the magnetic sensor chip, and magnetic field strength data when the magnet moves to different positions is collected through a development board connected to the magnetic sensor chip. When the magnet moves in the form of a rocker motion and is long and narrow, specifically: the magnet is driven to perform circular motion within a rotational motion domain defined above the magnetic sensitive chip, and magnetic field strength data is collected when the magnet moves to different positions through a development board connected to the magnetic sensitive chip.

5. The shifter design method based on the Hall effect as described in claim 3, characterized in that: 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 sensor chip, and magnetic field strength data when the magnet moves to different positions is collected by a development board connected to the magnetic sensor chip. 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 sensor chip, and magnetic field strength data when the magnet moves to different positions is collected through a development board connected to the magnetic sensor chip. When the magnet's motion is a rocker motion and its shape is cylindrical, specifically: the magnet is driven to perform circular motion within a rotational motion domain defined above the magnetic sensitive chip, and 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 gear shifter design device based on the Hall effect, characterized in that, The Hall effect-based gear shifter design device includes a processor, a memory, and a Hall effect-based gear shifter design program stored in the memory and executable by the processor, wherein when the Hall effect-based gear shifter design program is executed by the processor, it implements the steps of the Hall effect-based gear shifter design method as described in any one of claims 1 to 5.

7. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a Hall effect-based gear shifter design program, wherein when the Hall effect-based gear shifter design program is executed by a processor, it implements the steps of the Hall effect-based gear shifter design method as described in any one of claims 1 to 5.

8. A gear shifter design device based on the Hall effect, characterized in that, include: The test module is used to acquire existing gear shifters and conduct tests, collecting magnetic field strength data for each gear position in the gear shifter. The simulation module is used to establish a finite element model of the gear shifter and perform finite element simulation to obtain the magnetic field strength data of each gear in the finite element model. The comparison module is used to compare the obtained magnetic field strength data of the shifter with the magnetic field strength data of the finite element model in order to verify the simulation reliability of the finite element model. The optimization module is used to optimize the design parameters of the gear shifter based on the neural network model and the finite element model that has passed the simulation reliability verification, and to determine the optimal gear shifter design parameters. The optimization of gear shifter design parameters based on a neural network model and a finite element model that has passed simulation reliability verification, to determine the optimal gear shifter design parameters, includes the following specific steps: Obtain the finite element model that has passed the simulation reliability verification, and adjust the shifter design parameters of the obtained finite element model; Finite element simulation was performed on the adjusted finite element model to obtain simulation results, and the magnetoelectric conversion efficiency under different shifter design parameters was determined by a neural network model. By comparing the simulation results obtained after each finite element simulation, the optimal gear shifter design parameters are determined. The design parameters of the shifter include the shape of the magnet, the size of the magnet, 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, as well as the relative position of the end point of the movement of the magnet and the magnetic sensitive chip. The magnetic field strength data refers to the magnetic field strength along the x-axis, y-axis, and z-axis in a three-dimensional coordinate system.

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