Diagnostic instrument, motor rotary variable zero calibration method and system of hybrid transmission
Patent Information
- Application Number
- CN202511466740.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2025-10-14
- Publication Date
- 2026-09-11
- Estimated Expiration
- 2045-10-14
AI Technical Summary
现有校准方法严重依赖厂家的专用设备及授权密码,在售后维修场景中,当更换电机或控制器后,若需重新进行零位标定,必须通过特定授权渠道获取密码或返回工厂处理,流程复杂、周期长且成本高昂
[0018] The beneficial effects of this invention are that the UDS diagnostic instrument, the motor resolver zero-position calibration method and system for hybrid transmissions store zero-adjustment information packets in the UDS diagnostic instrument, construct a simulated zero-adjustment information packet based on the zero-adjustment information in the zero-adjustment information packet, and send it to the MCU for simulated zero-adjustment. It obtains the current simulated zero-adjustment information packet when the simulated zero-adjustment is successful, thereby successfully eliminating the dependence on manufacturer-specific equipment and authorization passwords. This makes it easier for technicians to solve problems in a targeted manner and re-trigger the learning process, thereby significantly reducing the time and economic cost of after-sales maintenance and greatly improving the efficiency and success rate of motor resolver zero-position calibration.
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Figure CN121333158B_ABST
Abstract
Description
Technical Field
[0001] This invention belongs to the field of control technology of motor resolvers, specifically relating to a method for zero-position calibration of resolvers, and particularly to a diagnostic instrument, a method and system for zero-position calibration of motor resolvers in hybrid gearboxes. Background Technology
[0002] In the control of hybrid drive motors in new energy vehicles, accurate calibration of the zero-position deflection angle of the resolver is crucial to ensuring the performance of the motor's vector control. Existing calibration methods heavily rely on the manufacturer's dedicated equipment and authorization passwords. In after-sales maintenance scenarios, when the motor or controller is replaced, if zero-position calibration is required again, the password must be obtained through specific authorized channels or the device must be returned to the factory for processing. This process is complex, time-consuming, and costly.
[0003] In particular, due to the significant differences in calibration conditions and parameter requirements for different motor types (such as ISG / TM) in hybrid transmissions, and the lack of specific authorized channels to obtain the password in related technologies, it is impossible to obtain calibration process information. This makes it impossible for on-site technicians to quickly locate the specific reasons for calibration failure (such as unmet operating conditions or excessive parameters), and they can only seek help from the manufacturer, which greatly restricts the efficiency of after-sales maintenance.
[0004] Therefore, how to provide a method for zero-position calibration of motor resolvers that can quickly diagnose the cause of calibration failure and guide retry without relying on the manufacturer's authorized password is a technical problem that urgently needs to be solved.
[0005] It should be noted that the information disclosed in this background section is only for understanding the background technology of the present application concept, and therefore, the above description is not considered to constitute prior art information. Summary of the Invention
[0006] This disclosure provides at least one diagnostic instrument, a method and system for zero-position calibration of the motor resolver of a hybrid transmission.
[0007] In a first aspect, embodiments of this disclosure provide a method for zero-position calibration of the motor resolver of a hybrid transmission, including: Connect the UDS diagnostic tool to the vehicle for communication. The UDS diagnostic instrument sends the corresponding subscript learning request to the MCU based on the type of motor to be calibrated. The MCU will send the received subscript learning request to the PDCU; After receiving the sub-mark learning request, the PDCU controls the vehicle to enter the calibration mode and sends back the zeroing information packet and the start sub-mark learning command to the MCU. The MCU performs subscript learning based on the received start subscript learning instruction and sends the zeroing information packet to the UDS diagnostic instrument for temporary storage; The MCU feeds back the sub-mark learning status to the UDS diagnostic instrument; when the UDS diagnostic instrument receives a successful sub-mark learning, it completes the motor calibration. Alternatively, if the UDS diagnostic instrument receives a failure in subscript learning, it sends an interrupt zeroing message to the MCU. The MCU disconnects from the PDCU. After that, the UDS communicates with the MCU to simulate subscript learning, thereby obtaining the current simulated zeroing information packet when the simulated zeroing is successful. The MCU resumes communication with the PDCU, and the UDS sends a new subscript learning request and the current analog zeroing information packet to the MCU to relearn and complete the motor calibration.
[0008] After each corner mark learning is completed, the entire vehicle will exit the calibration state.
[0009] In one optional implementation, the UDS communicates with the MCU to simulate the zeroing result, thereby obtaining the current simulated zeroing information packet when the simulated zeroing is successful, i.e.: UDS acquires all zeroing information from the zeroing information packet; Obtain the possible values for each zeroing information; Based on the possible values of each zero-adjustment information, construct all combinations of simulated zero-adjustment information packets; Each analog zeroing information packet in the combination is sent to the MCU sequentially for analog subscript learning; Obtain the current simulation zeroing information packet when simulation zeroing is successful.
[0010] In one alternative implementation, when the type of motor to be calibrated is ISG; The zeroing information packet includes: Is the overall vehicle condition normal? All vehicle gears; Clutch gear; Battery pack SOC status value; The control status of the ISG; Rotation speed of subscript learning.
[0011] In one optional implementation, after receiving a subscript learning request, the PDCU controls the vehicle to enter calibration mode, that is: After receiving the MCU's sub-label learning request, the PDCU sends a power-on command to the ISG and EMS. After the ISG speed reaches the preset speed range learned by the subscript, the EMS switches the ISG to pure idle speed control. When the PDCU detects that the ISG is in pure idle control, it indicates that the vehicle has entered the calibration condition.
[0012] In one optional implementation, the MCU performs subscript learning based on the received start subscript learning instruction, that is: Check the zeroing information; If the zeroing information obtained by the MCU does not match the preset zeroing information, then stop the subscript learning and update the subscript learning status to subscript learning failed. If the information obtained from the MCU matches the calibration information, it enters the subscript learning state. If the learning is successful, the subscript learning state is updated to "subscript learning successful". If it fails, the subscript learning state is updated to "subscript learning failed".
[0013] In one alternative implementation, when the type of motor to be calibrated is TM; The zeroing information packet includes: Is the overall vehicle condition normal? All vehicle gears; Clutch gear; Battery pack SOC status value; The self-learning subscript requirement position for TM.
[0014] In one optional implementation, after receiving a subscript learning request, the PDCU controls the vehicle to enter calibration mode, that is: After receiving the rising edge of the learning request signal, the PDCU controls ISG and TM to torque mode and controls the MCU feedback mode to power device operation mode. The PDCU sends the TM's self-learning alphanumeric position, N-level status, and high-voltage ready status to the TCU; When the TCU receives the self-learning index demand position, N gear status, and high pressure ready status, it controls the clutch coupling between the ISG and TM and sends the coupling information to the PDCU. After the PDCU receives the coupling information, it indicates that the vehicle has entered the calibration condition.
[0015] In one optional implementation, the MCU performs subscript learning based on the received start subscript learning instruction, that is: ISG enters speed control mode to ensure that the TM speed is pulled up to 2000 rpm; Check the zeroing information; If the zeroing information obtained by the MCU does not match the preset zeroing information, then stop the subscript learning and update the subscript learning status to subscript learning failed. If the information obtained from the MCU matches the calibration information, it enters the subscript learning state. If the learning is successful, the subscript learning state is updated to "subscript learning successful". If it fails, the subscript learning state is updated to "subscript learning failed".
[0016] Secondly, this disclosure also provides a calibration system employing the above-described hybrid transmission motor resolver zero-position calibration method, comprising: UDS diagnostic instrument, MCU, PDCU, EMS and TCU; The MCU and PDCU are connected for communication. The PDCU is communicatively connected to both the EMS and the TCU. The UDS diagnostic instrument communicates with the MCU. The UDS diagnostic instrument is configured to: send a corresponding subscript learning request to the MCU according to the type of motor to be calibrated, and receive the zeroing information packet and subscript learning status sent by the MCU.
[0017] Thirdly, this disclosure also provides a diagnostic instrument for calibrating the zero position of the motor resolver in a hybrid transmission, the diagnostic instrument comprising: The first transmitting module is adapted to send a corresponding subscript learning request to the MCU according to the type of motor to be calibrated received; The first receiving module is adapted to receive the zeroing information packet sent by the MCU; A storage module, which is suitable for storing the received zeroing information packets; The second receiving module is adapted to receive the subscript learning status fed back by the MCU; The processing module is adapted to construct all combinations of simulated zero-adjustment information packets based on all possible values of zero-adjustment information packets when a subscript learning failure is received. The second transmitting module is adapted to sequentially send each analog zeroing information packet in the combination to the MCU for analog subscript learning; The acquisition module is adapted to acquire the current simulation zeroing information packet when simulation zeroing is successful. The third sending module is adapted to send the re-subscript learning request and the current analog zeroing information packet to the MCU.
[0018] The beneficial effects of this invention are that the UDS diagnostic instrument, the motor resolver zero-position calibration method and system for hybrid transmissions store zero-adjustment information packets in the UDS diagnostic instrument, construct a simulated zero-adjustment information packet based on the zero-adjustment information in the zero-adjustment information packet, and send it to the MCU for simulated zero-adjustment. It obtains the current simulated zero-adjustment information packet when the simulated zero-adjustment is successful, thereby successfully eliminating the dependence on manufacturer-specific equipment and authorization passwords. This makes it easier for technicians to solve problems in a targeted manner and re-trigger the learning process, thereby significantly reducing the time and economic cost of after-sales maintenance and greatly improving the efficiency and success rate of motor resolver zero-position calibration.
[0019] Other features and advantages of the invention will be set forth in the following description, and will be apparent in part from the description, or may be learned by practicing the invention. The objects and other advantages of the invention are realized and obtained through the structures particularly pointed out in the description and the drawings.
[0020] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, preferred embodiments are described in detail below with reference to the accompanying drawings. Attached Figure Description
[0021] To more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the specific embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.
[0022] Figure 1 A flowchart of a method for zero-position calibration of the motor resolver of a hybrid transmission provided in this embodiment of the disclosure; Figure 2 A flowchart of some sub-steps of step S140 when the type of motor to be calibrated is ISG, provided for an embodiment of this disclosure; Figure 3 A flowchart of some sub-steps of step S140 when the type of motor to be calibrated is TM, as provided in this embodiment of the disclosure; Figure 4 A schematic block diagram of the motor resolver zero-position calibration device for a hybrid transmission provided in this embodiment of the present disclosure; Figure 5 This is a schematic block diagram of the diagnostic instrument provided in an embodiment of this disclosure. Detailed Implementation
[0023] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.
[0024] In this document, exemplary embodiments of the present disclosure will be described in more detail with reference to the accompanying drawings. As used herein, expressions such as “at least one of…” modify the entire list of elements when following a list of elements, rather than individual elements in the list. For example, the expression “at least one of a, b, and c” should be understood to include only a, only b, only c, both a and b, both a and c, both b and c, or all of a, b, and c.
[0025] The methods, procedures, and operations described herein should not be construed as requiring them to be performed in the specific order discussed or shown, unless specifically identified as such. Additional or alternative steps may be employed.
[0026] As used herein, the phrases “in one embodiment,” “according to one embodiment,” “in some embodiments,” etc., generally refer to the fact that a particular feature, structure, or characteristic following the phrase can be included in at least one embodiment of this disclosure. Therefore, a particular feature, structure, or characteristic can be included in more than one embodiment of this disclosure, such that these phrases do not necessarily refer to the same embodiment. As used herein, the terms “example,” “exemplary,” etc., are used to “serve as an example, instance, or illustration.” Any implementation, aspect, or design described herein as “example” or “exemplary” is not necessarily to be construed as preferred or superior to other implementations, aspects, or designs. Rather, the use of the terms “example,” “exemplary,” etc., is intended to present concepts in a specific manner.
[0027] Glossary Standardized protocol for vehicle diagnostics and communication (Unified Diagnostic Services, UDS); Microcontroller Unit (MCU); Power Domain Control Unit (PDCU); Integrated Starter Generator (ISG); Traction Motor (TM); Engine Management System (EMS); Transmission Control Unit (TCU); The state of charge (SOC) of a battery.
[0028] Research has revealed that car manufacturers using this technology do not directly report the cause of calibration failures to the UDS diagnostic tool. As a result, after each calibration failure, the manufacturer must be contacted for support to complete the resolver zero-point calibration, leading to extremely low after-sales service efficiency.
[0029] Based on the above research, this UDS diagnostic instrument, hybrid transmission motor resolver zero-position calibration method and system, by storing zero-adjustment information packets in the UDS diagnostic instrument, constructing simulated zero-adjustment information packets based on the zero-adjustment information in the zero-adjustment information packets, and sending them to the MCU for simulated zero-adjustment, obtains the current simulated zero-adjustment information packet when the simulated zero-adjustment is successful, thus successfully eliminating the dependence on manufacturer-specific equipment and authorization passwords. This allows technicians to address problems in a targeted manner and re-trigger the learning process, thereby significantly reducing the time and economic costs of after-sales maintenance and greatly improving the efficiency and success rate of motor resolver zero-position calibration.
[0030] The shortcomings of the above solutions are the result of the inventor's practical experience and careful research. Therefore, the discovery process of the above problems and the solutions proposed in this disclosure should be considered as the inventor's contribution to this disclosure.
[0031] It should be noted that similar labels and letters in the following figures indicate similar items. Therefore, once an item is defined in one figure, it does not need to be further defined and explained in subsequent figures.
[0032] The following detailed description of some embodiments of the present invention is provided in conjunction with the accompanying drawings. Unless otherwise specified, the following embodiments and features can be combined with each other.
[0033] Please see Figure 1 At least one embodiment provides a method for zero-position calibration of the motor resolver in a hybrid transmission. By storing a zero-adjustment information packet in a UDS diagnostic instrument, constructing a simulated zero-adjustment information packet based on the zero-adjustment information in the zero-adjustment information packet, and sending it to the MCU for simulated zero-adjustment, the method obtains the current simulated zero-adjustment information packet when the simulated zero-adjustment is successful. This successfully eliminates the dependence on manufacturer-specific equipment and authorization passwords, making it easier for technicians to solve problems in a targeted manner and re-trigger the learning process. This significantly reduces the time and economic cost of after-sales maintenance and greatly improves the efficiency and success rate of motor resolver zero-position calibration.
[0034] Specifically, the method includes: S110: Connects the UDS diagnostic tool to the vehicle for communication. S120: The UDS diagnostic instrument sends the corresponding subscript learning request to the MCU based on the type of motor to be calibrated. S130: The MCU sends the received subscript learning request to the PDCU; S140: After receiving the corner mark learning request, the PDCU controls the vehicle to enter the calibration mode and sends back the zeroing information packet and the start corner mark learning command to the MCU. S150: The MCU performs subscript learning based on the received start subscript learning instruction and sends the zeroing information packet to the UDS diagnostic instrument for temporary storage; S160: The MCU feeds back the sub-label learning status to the UDS diagnostic instrument; S170: When the UDS diagnostic instrument receives a successful sub-mark learning, the motor calibration is completed; S180: Or, when the UDS diagnostic instrument receives a failure in subscript learning, it sends an interrupt zeroing message to the MCU. The MCU disconnects from the PDCU. After that, the UDS communicates with the MCU to simulate subscript learning, thereby obtaining the current simulated zeroing information packet when the simulated zeroing is successful. S190: The MCU resumes communication with the PDCU, and the UDS sends a new subscript learning request and the current analog zeroing information packet to the MCU to relearn and complete the motor calibration.
[0035] After each corner mark learning is completed, the entire vehicle will exit the calibration state.
[0036] It should be noted that after each corner mark learning is completed, the entire vehicle will be taken out of calibration mode to facilitate the next calibration.
[0037] Specifically, since the hybrid transmission's motor adopts an ISG+TM architecture, calibration is required based on the type of motor to be calibrated, which includes both ISG and TM motors.
[0038] The UDS communicates with the MCU to simulate the zeroing result, thereby obtaining the current simulated zeroing information packet when the simulated zeroing is successful, i.e.: UDS acquires all zeroing information from the zeroing information packet; Obtain the possible values for each zeroing information; Based on the possible values of each zero-adjustment information, construct all combinations of simulated zero-adjustment information packets; Each analog zeroing information packet in the combination is sent to the MCU sequentially for analog subscript learning; Obtain the current simulation zeroing information packet when simulation zeroing is successful.
[0039] Please see Figure 2 When the type of motor to be calibrated is ISG, step S140 includes: S141: After receiving the MCU's sub-label learning request, the PDCU sends a power-on command to the ISG and EMS; S142: After the ISG speed reaches the preset speed range learned by the subscript, the EMS switches the ISG to pure idle speed control. S143: When the PDCU detects that the ISG is in pure idle control, it indicates that the vehicle has entered the calibration condition.
[0040] It should be noted that when the type of motor to be calibrated is ISG, the zeroing information in the zeroing information package includes: whether the overall vehicle status is normal; the vehicle gear position; the clutch gear position; the battery pack SOC status value; the control status of the ISG; and the speed learned by the sub-index.
[0041] Possible values for whether the overall vehicle condition is normal include: normal, abnormal; The possible values for the vehicle's gears include: P, D, N, R, and M; Possible values for clutch gear position include: 0, 1; Possible values for the battery pack's State of Charge (SOC) include: 50%, 55%, 60%, 65%, and 70%. Possible values for the control state of the ISG include: startup state, power generation state, power assist drive state, energy recovery state, and standby state; The possible values for the rotational speed learned by the subscript are set according to the specific motor model.
[0042] Since the possible values of the zero-adjustment information in the zero-adjustment information packet are finite, the number of all combinations of simulated zero-adjustment information packets is finite. The correct combination of zero-adjustment information packets required for subscript zeroing can be obtained by traversing the packet.
[0043] When the motor type to be calibrated is ISG, the MCU in step S150 performs subscript learning according to the received start subscript learning instruction, that is: S151: Check the zeroing information; S152: If the zeroing information obtained in the MCU does not match the preset zeroing information, stop the subscript learning and update the subscript learning status to subscript learning failure. S153: If the information obtained in the MCU matches the calibration information, then enter the subscript learning state. If the learning is successful, then update the subscript learning state to subscript learning successful. If it fails, then update the subscript learning state to subscript learning failed.
[0044] Please see Figure 3 When the type of motor to be calibrated is TM, step S140 includes: S241: After the PDCU receives the rising edge of the learning request signal, it controls ISG and TM to torque mode and controls the MCU feedback mode to power device operation mode. S242: The PDCU sends the TM's self-learning corner mark requirement position, N-level status, and high-voltage ready status to the TCU; S243: When the TCU receives the self-learning index demand position, N gear status, and high pressure ready status, it controls the clutch coupling between the ISG and TM and sends the coupling information to the PDCU. S244: After the PDCU receives the coupling information, it indicates that the vehicle has entered the calibration condition.
[0045] Specifically, when the type of motor to be calibrated is TM, the zeroing information in the zeroing information package includes: whether the overall vehicle status is normal; the vehicle gear position; the clutch gear position; the battery pack SOC status value; and the required position of the TM self-learning corner mark.
[0046] The position of the self-learning sub-label for TM is set according to the motor type.
[0047] In one alternative implementation, when the type of motor to be calibrated is TM; In step S150, the MCU performs subscript learning according to the received start subscript learning instruction, that is: S251: ISG enters speed control mode to ensure that the TM speed is pulled up to 2000 rpm; S252: Check the calibration information; S253: If the information obtained from the MCU does not match the calibration information, stop the subscript learning and update the subscript learning status to subscript learning failure; S254: If the information obtained in the MCU matches the calibration information, the system enters the subscript learning state. If the learning is successful, the subscript learning state is updated to "subscript learning successful", and the MCU controls the ISG and TM speeds to be cleared to 0. If the learning fails, the subscript learning state is updated to "subscript learning failed".
[0048] Specifically, when the motor type to be calibrated is ISG, after each marker learning is completed, the entire vehicle will exit the calibration state to facilitate the next calibration. The PDCU receives the ISG marker learning success status and returns to the original control mode (engine idle speed control or torque control).
[0049] If the PDCU receives a failure to learn the ISG subscript, it will continue to learn the subscript again.
[0050] When the motor type to be calibrated is TM, the entire vehicle will exit the calibration state after each subscript learning is completed to facilitate the next calibration. After the PDCU completes the learning of the sub-label sent by the MCU, it sends a message to the TCU requesting that the TM after-sales self-learning sub-label be cleared, and that both the ISG and TM speeds be zero. The TCU executes the operation of clearing the clutch solenoid valve, clearing the main oil circuit pressure, and restoring the electronic pump speed to normal control operation.
[0051] Please see Figure 4 This disclosure also provides a motor resolver zero-position calibration system employing the hybrid gearbox described above, comprising: UDS diagnostic instrument, MCU, PDCU, EMS and TCU; The MCU and PDCU are connected for communication. The PDCU is communicatively connected to both the EMS and the TCU. The UDS diagnostic instrument communicates with the MCU. The UDS diagnostic instrument is configured to: send a corresponding subscript learning request to the MCU according to the type of motor to be calibrated, and receive the zeroing information packet and subscript learning status sent by the MCU.
[0052] The types of motors to be calibrated include ISG and TM.
[0053] Furthermore, when the type of motor to be calibrated is ISG, the motor resolver zero-position calibration method for hybrid transmissions calibrates the motor resolver zero position using a UDS diagnostic instrument, MCU, PDCU, and EMS. When the motor type to be calibrated is TM, the motor resolver zero-position calibration method for hybrid transmissions calibrates the motor resolver zero position using a UDS diagnostic instrument, MCU, PDCU, and TCU.
[0054] It should be noted that if both the ISG and TM motors require calibration, the ISG should be calibrated first.
[0055] Please see Figure 5 At least one embodiment also provides a diagnostic tool for zero-point calibration of the motor resolver in a hybrid transmission, the diagnostic tool comprising: The first transmitting module is adapted to send a corresponding subscript learning request to the MCU according to the type of motor to be calibrated received; The first receiving module is adapted to receive the zeroing information packet sent by the MCU; A storage module, which is suitable for storing the received zeroing information packets; The second receiving module is adapted to receive the subscript learning status fed back by the MCU; The processing module is adapted to construct all combinations of simulated zero-adjustment information packets based on all possible values of zero-adjustment information packets when a subscript learning failure is received. The second transmitting module is adapted to sequentially send each analog zeroing information packet in the combination to the MCU for analog subscript learning; The acquisition module is adapted to acquire the current simulation zeroing information packet when simulation zeroing is successful. The third sending module is adapted to send the re-subscript learning request and the current analog zeroing information packet to the MCU.
[0056] In summary, this invention provides a diagnostic instrument, a method and system for zero-position calibration of the motor resolver in a hybrid transmission. The method for zero-position calibration of the motor resolver in a hybrid transmission stores a zero-adjustment information packet in the UDS diagnostic instrument, constructs a simulated zero-adjustment information packet based on the zero-adjustment information in the packet, and sends it to the MCU for simulated zero-adjustment. It then obtains the current simulated zero-adjustment information packet when the simulated zero-adjustment is successful. This successfully eliminates the reliance on manufacturer-specific equipment and authorization passwords, allowing technicians to address problems more effectively and re-trigger the learning process. This significantly reduces the time and economic costs of after-sales maintenance and greatly improves the efficiency and success rate of motor resolver zero-position calibration.
[0057] In the description of the embodiments of the present invention, unless otherwise explicitly specified and limited, the terms "installation," "connection," and "linking" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection of two components. Those skilled in the art can understand the specific meaning of the above terms in the present invention based on the specific circumstances.
[0058] In the description of this invention, it should be noted that the terms "center," "upper," "lower," "left," "right," "vertical," "horizontal," "inner," and "outer," etc., indicating orientation or positional relationships based on the orientation or positional relationships shown in the accompanying drawings, are only for the convenience of describing the invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of the invention. Furthermore, terms such as "first," "second," and other numerical terms used herein do not imply order or sequence unless expressly indicated herein. Therefore, without departing from the teachings of the exemplary embodiments, the first element, component, region, layer, or segment discussed above may be referred to as a second element, component, region, layer, or segment.
[0059] Spatially relative terms, such as “inside,” “outside,” “below,” “below,” “down,” “above,” “up,” etc., may be used herein to describe the relationship between one element or feature illustrated in the figures and another element or feature. In addition to the orientations depicted in the figures, spatially relative terms may be intended to cover different orientations of the device in use or operation. For example, if the device in the figure is flipped, an element described as “below” or “below” other elements or features would be oriented as “above” other elements or features. Thus, the example term “below” can cover both above and below orientations. The device may be oriented in other ways (rotated 90 degrees or in other orientations), and the spatially relative descriptors used herein are interpreted accordingly.
[0060] In the above discussion, unless otherwise stated, when used to describe numerical values, the terms “about,” “approximately,” “basically,” etc., indicate a change of + / - 10% in that value.
[0061] Based on the above-described preferred embodiments of the present invention, and through the foregoing description, those skilled in the art can make various changes and modifications without departing from the inventive concept. The technical scope of this invention is not limited to the contents of the specification, but must be determined according to the scope of the claims.
Claims
1. A method for calibrating the zero position of a motor rotary variator of a hybrid transmission, characterized in that, include: Connect the UDS diagnostic tool to the vehicle for communication. The UDS diagnostic instrument sends the corresponding subscript learning request to the MCU based on the type of motor to be calibrated. The MCU will send the received subscript learning request to the PDCU; After receiving the sub-mark learning request, the PDCU controls the vehicle to enter the calibration mode and sends back the zeroing information packet and the start sub-mark learning command to the MCU. The MCU performs subscript learning based on the received start subscript learning instruction and sends the zeroing information packet to the UDS diagnostic instrument for temporary storage; The MCU feeds back the sub-label learning status to the UDS diagnostic instrument; When the UDS diagnostic instrument receives a successful sub-mark learning result, it completes the motor calibration. Alternatively, if the UDS diagnostic instrument receives a failure in subscript learning, it sends an interrupt zeroing message to the MCU. The MCU disconnects from the PDCU. After that, the UDS communicates with the MCU to simulate subscript learning, thereby obtaining the current simulated zeroing information packet when the simulated zeroing is successful. The MCU resumes communication with the PDCU, and the UDS resends the subscript learning request and the current analog zeroing information packet to the MCU to relearn and complete the motor calibration. After each corner mark learning is completed, the entire vehicle will exit the calibration state.
2. The method for zero-position calibration of the motor resolver of a hybrid transmission as described in claim 1, characterized in that, The UDS communicates with the MCU to simulate the zeroing result, thereby obtaining the current simulated zeroing information packet when the simulated zeroing is successful, i.e.: UDS acquires all zeroing information from the zeroing information packet; Obtain the possible values for each zeroing information; Based on the possible values of each zero-adjustment information, construct all combinations of simulated zero-adjustment information packets; Each analog zeroing information packet in the combination is sent to the MCU sequentially for analog subscript learning; Obtain the current simulation zeroing information packet when simulation zeroing is successful.
3. The method for zero-position calibration of the motor resolver of a hybrid transmission as described in claim 2, characterized in that, When the type of motor to be calibrated is ISG; The zeroing information packet includes: Is the overall vehicle condition normal? All vehicle gears; Clutch gear; Battery pack SOC status value; The control status of the ISG; Rotation speed of subscript learning.
4. The method for zero-position calibration of the motor resolver of a hybrid transmission as described in claim 3, characterized in that, Upon receiving a subscript learning request, the PDCU controls the vehicle to enter calibration mode, i.e.: After receiving the MCU's sub-label learning request, the PDCU sends a power-on command to the ISG and EMS. After the ISG speed reaches the preset speed range learned by the subscript, the EMS switches the ISG to pure idle speed control. When the PDCU detects that the ISG is in pure idle control, it indicates that the vehicle has entered the calibration condition.
5. The method for zero-position calibration of the motor resolver of a hybrid transmission as described in claim 4, characterized in that, The MCU performs subscript learning based on the received start subscript learning instruction, that is: Check the zeroing information; If the zeroing information obtained by the MCU does not match the preset zeroing information, then stop the subscript learning and update the subscript learning status to subscript learning failed. If the zeroing information obtained by the MCU matches the preset zeroing information, it enters the label learning state. If the learning is successful, the label learning state is updated to "label learning successful". If it fails, the label learning state is updated to "label learning failed".
6. The method for zero-position calibration of the motor resolver of a hybrid transmission as described in claim 2, characterized in that, When the type of motor to be calibrated is TM; The zeroing information packet includes: Is the overall vehicle condition normal? All vehicle gears; Clutch gear; Battery pack SOC status value; The self-learning subscript requirement position for TM.
7. The method for zero-position calibration of the motor resolver of a hybrid transmission as described in claim 6, characterized in that, Upon receiving a subscript learning request, the PDCU controls the vehicle to enter calibration mode, i.e.: After receiving the rising edge of the learning request signal, the PDCU controls the ISG and TM to torque mode and controls the MCU feedback mode to power device operation mode. The PDCU sends the TM's self-learning alphanumeric position, N-level status, and high-voltage ready status to the TCU; When the TCU receives the self-learning index demand position, N gear status, and high pressure ready status, it controls the clutch coupling between the ISG and TM and sends the coupling information to the PDCU. After the PDCU receives the coupling information, it indicates that the vehicle has entered the calibration condition.
8. The method for zero-position calibration of the motor resolver of a hybrid transmission as described in claim 7, characterized in that, The MCU performs subscript learning based on the received start subscript learning instruction, that is: ISG enters speed control mode to ensure that the TM speed is pulled up to 2000 rpm; Check the zeroing information; If the zeroing information obtained by the MCU does not match the preset zeroing information, then stop the subscript learning and update the subscript learning status to subscript learning failed. If the information obtained from the MCU matches the calibration information, it enters the subscript learning state. If the learning is successful, the subscript learning state is updated to "subscript learning successful". If it fails, the subscript learning state is updated to "subscript learning failed".
9. A calibration system for a motor rotation variable zero calibration method using the hybrid transmission according to claim 1, characterized in that, include: UDS diagnostic instrument, MCU, PDCU, EMS and TCU; The MCU and PDCU are connected for communication. The PDCU is communicatively connected to both the EMS and the TCU. The UDS diagnostic instrument communicates with the MCU. The UDS diagnostic instrument is configured to: send a corresponding subscript learning request to the MCU according to the type of motor to be calibrated, and receive the zeroing information packet and subscript learning status sent by the MCU.
10. A UDS diagnostic instrument for motor rotary variable zero calibration of a hybrid transmission, characterized in that, The UDS diagnostic instrument includes: The first transmitting module is adapted to send a corresponding subscript learning request to the MCU according to the type of motor to be calibrated received; The first receiving module is adapted to receive the zeroing information packet sent by the MCU; A storage module, which is suitable for storing the received zeroing information packets; The second receiving module is adapted to receive the subscript learning status fed back by the MCU; The processing module is adapted to construct all combinations of simulated zero-adjustment information packets based on all possible values of zero-adjustment information packets when a subscript learning failure is received. The second transmitting module is adapted to sequentially send each analog zeroing information packet in the combination to the MCU for analog subscript learning; The acquisition module is adapted to acquire the current simulation zeroing information packet when simulation zeroing is successful. The third transmitting module is adapted to retransmit the subscript learning request and the current analog zeroing information packet to the MCU.
Citation Information
Patent Citations
Gear displacement self-learning system and method of pure electric gearbox
CN114997415A