Method and device for acquiring design parameters of electric drive assembly system, vehicle and equipment
By adjusting the parameters of the motor, electronic control, and reducer components, multiple updates to the electric drive assembly system were achieved, solving the problems of high design cost and poor robustness in existing technologies, and improving system performance and design efficiency.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-12-26
- Publication Date
- 2026-04-14
AI Technical Summary
In the design of electric drive assembly systems, the existing technology of designing each component separately leads to problems such as high cost, poor robustness and low design efficiency.
By acquiring the parameters of each component of the electric drive assembly system, and identifying when the preset conditions are not met, the parameters of the motor control component and the reducer component are adjusted and updated multiple times until the parameter constraints are met, thus obtaining the target system design parameters.
It improves the robustness and generalization ability of the electric drive assembly system, reduces design costs and resource consumption, shortens design time, and optimizes design efficiency.
Smart Images
Figure CN121859549A_ABST
Abstract
Description
Technical Field
[0001] This disclosure relates to the field of new energy vehicle technology, and in particular to a method, device, vehicle, and equipment for obtaining design parameters of an electric drive assembly system. Background Technology
[0002] With the development of technology, more and more people are choosing new energy vehicles as their daily transportation. During the operation of these vehicles, the electric drive system enables propulsion. However, the design of the electric drive system involves individually designing each component to obtain the overall system design, which results in higher design costs. Summary of the Invention
[0003] This disclosure aims to at least partially address one of the technical problems in the related art.
[0004] Therefore, the first aspect of this disclosure proposes a method for obtaining design parameters of an electric drive assembly system.
[0005] The second aspect of this disclosure provides a device for obtaining design parameters of an electric drive assembly system.
[0006] The third aspect of this disclosure proposes a vehicle.
[0007] The fourth aspect of this disclosure provides for an electronic device.
[0008] The fifth aspect of this disclosure provides for a computer-readable storage medium.
[0009] The sixth aspect of this disclosure proposes a chip.
[0010] The first aspect of this disclosure proposes a method for obtaining design parameters of an electric drive assembly system, comprising: obtaining assembly performance parameters corresponding to the electric drive assembly system based on the component parameters of each component in the electric drive assembly system of a vehicle; in response to the assembly performance parameters not meeting preset parameter limiting conditions, updating the electric drive assembly system according to the component parameters of at least one of the motor control assembly and the reducer assembly in the electric drive assembly system to obtain target assembly performance parameters; and obtaining target system design parameters of the electric drive assembly system based on the target assembly performance parameters.
[0011] A second aspect of this disclosure provides an electric drive assembly system design parameter acquisition device, comprising: an acquisition module, configured to obtain assembly performance parameters corresponding to the electric drive assembly system based on component parameters of each component in the electric drive assembly system of a vehicle; an update module, configured to update the electric drive assembly system corresponding to the assembly performance parameters based on component parameters of at least one component among the motor and electronic control components and the reducer component in the electric drive assembly system in response to the assembly performance parameters not meeting preset parameter limiting conditions, so as to obtain target assembly performance parameters; and a design module, configured to obtain target system design parameters of the electric drive assembly system based on the target assembly performance parameters.
[0012] This disclosure provides a third aspect of a vehicle for implementing the method for obtaining design parameters of an electric drive assembly system as described in the first aspect above.
[0013] This disclosure provides a fourth aspect of an electronic device, comprising: a processor; and a memory for storing executable instructions of the processor; wherein the processor is configured to execute instructions to implement the electric drive assembly system design parameter acquisition method as described in the first aspect above.
[0014] The fifth aspect of this disclosure provides a computer-readable storage medium that, when the instructions in the computer-readable storage medium are executed by a processor of an electronic device, enables the electronic device to perform the electric drive assembly system design parameter acquisition method as described in the first aspect above.
[0015] A sixth aspect of this disclosure provides a chip including one or more interface circuits and one or more processors; the interface circuits are used to receive signals and send the signals to the processors, the signals including computer instructions stored in a memory, which, when executed by the processors, cause the chip to perform the electric drive assembly system design parameter acquisition method as described in the first aspect above.
[0016] The method and apparatus for obtaining design parameters of the electric drive assembly system disclosed herein obtain the overall performance parameters of the electric drive assembly system based on the component parameters of each component. When the overall performance parameters do not meet preset parameter constraints, the overall performance parameters are updated by adjusting the component parameters of at least one of the motor control components and the reducer components. Then, based on the target overall performance parameters that meet the parameter constraints, the target system design parameters of the electric drive assembly system are obtained. This process of obtaining the target system design parameters through multiple rounds of updates improves the system performance of the electric drive assembly system designed based on the target system design parameters. Compared to related technologies that design solutions for multiple components separately, this method expands the data filtering range in the electric drive assembly system design process, improves the robustness and generalization ability of the finally obtained electric drive assembly system, reduces the design cost and resource consumption of the electric drive assembly system, reduces the possibility that the performance of a single component is optimal but the overall system performance is suboptimal, shortens the design time of the electric drive assembly system, improves the design efficiency of the electric drive assembly system, and optimizes the design method and design effect of the electric drive assembly system.
[0017] It should be understood that the description herein is not intended to identify key or essential features of the embodiments thereof, nor is it intended to limit the scope of this disclosure. Other features of this disclosure will become readily apparent from the following description. Attached Figure Description
[0018] The above and / or additional aspects and advantages of this disclosure will become apparent and readily understood from the following description of the embodiments taken in conjunction with the accompanying drawings, in which: Figure 1 This is a flowchart illustrating a method for obtaining design parameters of an electric drive assembly system according to an embodiment of the present disclosure. Figure 2 This is a flowchart illustrating a method for obtaining design parameters of an electric drive assembly system according to another embodiment of this disclosure. Figure 3 This is a flowchart illustrating a method for obtaining design parameters of an electric drive assembly system according to another embodiment of this disclosure. Figure 4 This is a flowchart illustrating a method for obtaining design parameters of an electric drive assembly system according to another embodiment of this disclosure. Figure 5 This is a flowchart illustrating a method for obtaining design parameters of an electric drive assembly system according to another embodiment of this disclosure. Figure 6 This is a flowchart illustrating a method for obtaining design parameters of an electric drive assembly system according to another embodiment of this disclosure. Figure 7 This is a schematic diagram of the structure of an electric drive assembly system design parameter acquisition device according to an embodiment of the present disclosure; Figure 8This is a schematic diagram of the structure of an electronic device according to an embodiment of the present disclosure; Figure 9 This is a schematic diagram of the structure of a chip according to an embodiment of the present disclosure. Detailed Implementation
[0019] Embodiments of this disclosure are described in detail below, with examples of embodiments illustrated in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and intended to explain this disclosure, and should not be construed as limiting this disclosure.
[0020] The following description, with reference to the accompanying drawings, outlines a method, apparatus, vehicle, and equipment for obtaining design parameters of an electric drive assembly system according to embodiments of this disclosure.
[0021] Figure 1 This is a flowchart illustrating a method for obtaining design parameters of an electric drive assembly system according to an embodiment of this disclosure, as shown below. Figure 1 As shown, the method includes: S101, based on the component parameters of each component in the vehicle's electric drive assembly system, obtain the corresponding assembly performance parameters of the electric drive assembly system.
[0022] In this embodiment of the disclosure, the vehicle can rely on the electric drive system deployed on it to convert the electrical energy in the on-board battery into mechanical energy, thereby obtaining the torque required by the wheels. In this scenario, the electric drive system deployed on the vehicle needs to be designed to obtain a system that meets the vehicle's requirements.
[0023] In some possible implementations, the components of the electric drive assembly system can be defined as the components included in the electric drive assembly system. The component parameters corresponding to each component in the electric drive assembly system can be obtained, and the system performance parameters that can characterize the electric drive assembly system can be obtained based on the component parameters corresponding to each component. That is, the overall performance parameters of the electric drive assembly system.
[0024] It should be noted that the components included in the electric drive assembly system may include motor components, electronic control components, and reducer components, and may also include other components required by the electric drive assembly system, which are not specifically limited here.
[0025] S102, in response to the fact that the assembly performance parameters do not meet the preset parameter limitation conditions, the electric drive assembly system is updated according to the component parameters of at least one of the motor control component and the reducer component in the electric drive assembly system to obtain the target assembly performance parameters.
[0026] In this embodiment of the disclosure, the system state of the electric drive assembly system can be obtained based on the assembly performance parameters of the electric drive assembly system. In this scenario, the assembly performance parameters can be analyzed based on the parameter constraints corresponding to the electric drive assembly system. That is, when the assembly performance parameters meet the parameter constraints, it can be determined that the electric drive assembly system with the obtained assembly performance parameters may be able to meet the vehicle requirements.
[0027] Accordingly, when the assembly performance parameters do not meet the parameter constraints, it can be determined that the electric drive assembly system with the obtained assembly performance parameters may not meet the vehicle requirements. In this scenario, based on a preset update method, new assembly performance parameters corresponding to the electric drive assembly system can be obtained again, and the new assembly performance parameters can be compared with the parameter constraints until assembly performance parameters that meet the parameter constraints are obtained, and the assembly performance parameters that meet the parameter constraints are determined as the target assembly performance parameters of the electric drive assembly system.
[0028] In this embodiment of the disclosure, when the assembly performance parameters do not meet the parameter limitation conditions, the reason why the assembly performance parameters do not meet the parameter limitation conditions can be identified based on the component parameters of the motor and electronic control components and the reducer components included in the electric drive assembly system. Based on the reason, the component parameters of each component in the electric drive assembly system are adjusted to update the corresponding assembly performance parameters of the electric drive assembly system. The updated assembly performance parameters that meet the parameter limitation conditions are determined as the target assembly performance parameters of the electric drive assembly system.
[0029] In scenarios where an electric drive assembly system includes a motor and electronic control unit and a reducer assembly, when the assembly performance parameters do not meet the parameter constraints, the component parameters of at least one component in the motor and electronic control unit and the reducer assembly that causes the assembly performance parameters to not meet the parameter constraints can be obtained. The component parameters of at least one component in the motor and electronic control unit and the reducer assembly can be adjusted, and new assembly performance parameters of the electric drive assembly system can be obtained based on the adjusted component parameters, until the target assembly performance parameters that meet the parameter constraints are obtained.
[0030] S103, based on the target assembly performance parameters, obtain the target system design parameters of the electric drive assembly system.
[0031] In this embodiment of the disclosure, the target assembly performance parameters are performance parameters that meet preset parameter limitation conditions. In this scenario, it can be determined that the electric drive assembly system can meet the needs of the vehicle when the target assembly performance parameters are obtained. In this scenario, the component parameters of each component in the electric drive assembly system when the target assembly performance parameters are obtained can be integrated based on a preset design parameter integration strategy, and then the integrated parameters can be determined as the target system design parameters of the electric drive assembly system.
[0032] In scenarios where an electric drive assembly system includes a motor and electronic control component and a reducer component, the component parameters of the motor and electronic control component and the reducer component can be integrated when the target assembly performance parameters are obtained, thereby obtaining the corresponding target system design parameters.
[0033] The proposed method for obtaining design parameters of an electric drive assembly system obtains the overall performance parameters of the electric drive assembly system based on the component parameters of each component. When the overall performance parameters do not meet preset parameter constraints, the overall performance parameters are updated by adjusting the component parameters of at least one of the motor control components and the reducer components. Then, based on the target overall performance parameters that meet the parameter constraints, the target system design parameters of the electric drive assembly system are obtained. This method, which obtains the target system design parameters through multiple rounds of updates, improves the system performance of the electric drive assembly system designed based on the target system design parameters. Compared to related technologies that design solutions for multiple components separately, this method expands the data filtering range in the electric drive assembly system design process, improves the robustness and generalization ability of the final obtained electric drive assembly system, reduces the design cost and resource consumption of the electric drive assembly system, reduces the possibility that the performance of a single component is optimal but the overall system performance is suboptimal, shortens the design time of the electric drive assembly system, improves the design efficiency of the electric drive assembly system, and optimizes the design method and design effect of the electric drive assembly system.
[0034] In the above embodiments, the acquisition of the target system design parameters for the electric drive assembly system can also be combined with... Figure 2 To understand further, Figure 2 This is a flowchart illustrating a method for obtaining design parameters of an electric drive assembly system according to another embodiment of this disclosure, as shown below. Figure 2 As shown, the method includes: S201, Obtain the component performance parameters of each component in the electric drive assembly system.
[0035] In this embodiment of the disclosure, during the design process of the electric drive assembly system, relevant data needs to be input into the electric drive assembly system to obtain the performance parameters of the electric drive assembly system. Then, the performance parameters are analyzed to obtain the target assembly performance parameters that can meet the preset parameter constraints, thereby realizing the design of the electric drive assembly system.
[0036] In this scenario, the electric drive assembly system can deploy multiple system components. The input data of the electric drive assembly system can include the input data of each of the multiple system components. The input data of each system component included in the input data can be determined as the component parameters of each component in the electric drive assembly system.
[0037] As an example, such as Figure 3 As shown, in Figure 3 In the scenario shown, the electric drive assembly system includes: Figure 3 The electronic control assembly 31, motor assembly 32, and reducer assembly 33 shown can be obtained Figure 3 The input data of the electric drive assembly system 300 shown is used to obtain the component parameters of the input electronic control component 31, the component parameters of the input motor component 32, and the component parameters of the input reducer component 33 carried therein.
[0038] In this embodiment of the disclosure, the output parameters of any component can be obtained based on the component parameters of any input component, and parameters that characterize the performance of the component can be obtained based on the output parameters of any component, which can be used as the component performance parameters of the component.
[0039] In some possible implementations, in response to the fact that the output parameters of any component in the electric drive assembly system satisfy the output constraints corresponding to that component, the output parameters are determined to be the component performance parameters of that component.
[0040] In other words, once the output parameters of any component are obtained, the output parameters can be compared with the preset output constraints of the component. When the output parameters meet the output constraints, it can be determined that the output parameters of the component can meet the performance description requirements of the component. In this scenario, the output parameters can be determined as the component performance parameters of the component.
[0041] As an example, such as Figure 3 As shown, with Figure 3 Taking the motor assembly 32 shown as an example, the output of the motor assembly 32 can be obtained based on the component parameters of the motor assembly 32, including... Figure 3 The output parameters shown are peak torque, peak power, current density, electromagnetic torque, electromagnetic efficiency, and cogging torque, as follows: Figure 3 As shown, any of the above output parameters can be compared with the parameter constraints corresponding to that output parameter.
[0042] When all the above output parameters meet their respective parameter constraints, the component performance parameters of the motor assembly 32 can be obtained based on the above output parameters.
[0043] It should be noted that the parameters characterizing the performance of the motor assembly 32 may also include... Figure 3The motor cost parameters and motor efficiency parameters shown can be integrated with the output parameters of motor assembly 32, which satisfy their respective parameter constraints, including peak torque, peak power, current density, electromagnetic torque, electromagnetic efficiency, and cogging torque, in this scenario. The integrated parameters are then determined as follows: Figure 3 The component performance parameters of the motor assembly 32 are shown.
[0044] In this example, the acquisition of the component performance parameters of the electronic control component 31 and the reducer component 33 can be understood by referring to the acquisition process of the component performance parameters of the motor component 32 described above, and will not be repeated here.
[0045] S202, based on the integration of the component performance parameters of each component, the overall performance parameters of the electric drive assembly system are obtained.
[0046] In this embodiment of the disclosure, after obtaining the component parameter performance of each component in the electric drive assembly system, the component performance parameters of each component can be integrated based on a preset performance parameter integration algorithm. Then, based on the result of the algorithm processing, the component performance parameters of each component are integrated, and the integrated parameters are determined as the overall performance parameters of the electric drive assembly system.
[0047] As an example, such as Figure 3 As shown, it can be Figure 3 The performance parameters of the electronic control component 31, motor component 32, and reducer component 33 shown are integrated to obtain... Figure 3 The assembly performance parameters of the electric drive assembly system 300 are shown.
[0048] S203, identify whether the assembly performance parameters meet the preset parameter limit conditions.
[0049] In this embodiment of the disclosure, the electric drive assembly system has corresponding external characteristic parameters. In this scenario, the corresponding external characteristic parameters can be calculated based on the assembly performance parameters of the electric drive assembly system, and compared with preset reference external characteristic parameters. Based on the comparison results, it can be identified whether the electric drive assembly system corresponding to the assembly performance parameters meets the vehicle's requirements.
[0050] Among them, the reference external characteristic parameters include at least the rated power and rated output torque of the electric drive system, the rated wheel-end speed of the vehicle to which the electric drive system belongs, and the inflection point limit range of the corresponding external characteristic curve.
[0051] In this scenario, the corresponding external characteristic parameters can be obtained based on the overall performance parameters of the electric drive assembly system. These external characteristic parameters are then compared with the aforementioned reference external characteristic parameters. Based on the comparison results, it can be determined whether the current assembly performance parameters meet the preset parameter constraints.
[0052] It should be noted that the parameter constraints corresponding to the assembly performance parameters can be understood as the conditions that need to be met to determine the performance state of the electric drive assembly system described by the assembly performance parameters. In other words, the electric drive assembly system corresponding to the assembly performance parameters that meet the parameter constraints can meet the needs of the vehicle.
[0053] In some possible implementations, in response to the matching of external characteristic parameters obtained by the electric drive assembly system based on assembly performance parameters with preset reference external characteristic parameters, it is determined that the assembly performance parameters meet the parameter constraint conditions.
[0054] In this embodiment of the present disclosure, when the external characteristic parameter corresponding to the assembly performance parameter matches the reference external characteristic parameter, it can be determined that the system performance of the electric drive assembly system described by the assembly performance parameter can meet the vehicle requirements, and thus it can be determined that the assembly performance parameter meets the preset parameter limitation conditions.
[0055] As an example, such as Figure 3 As shown, it can be done through Figure 3 The module shown determines whether the external characteristic parameters match the reference parameters, identifying whether the external characteristic parameters corresponding to the assembly performance parameters are consistent with... Figure 3 The reference external characteristic parameters shown include the rated power of the electric drive system, the rated output torque, the rated wheel-end speed of the vehicle to which the electric drive system belongs, and the inflection point limit range of the corresponding external characteristic curves, to determine whether they match.
[0056] like Figure 3 As shown, when the external characteristic parameter is identified to match the reference external characteristic parameter, the assembly performance parameter obtained when the external characteristic parameter is obtained can be determined to be the target assembly performance parameter that meets the parameter limitation conditions. Then, the target system design parameters corresponding to the electric drive assembly system can be obtained based on the target assembly performance parameter.
[0057] In some possible implementations, in response to a mismatch between the external characteristic parameters and the reference external characteristic parameters, it is determined that the assembly performance parameters do not meet the parameter constraint conditions.
[0058] In this embodiment of the present disclosure, when the external characteristic parameter corresponding to the assembly performance parameter does not match the reference external characteristic parameter, it can be determined that the system performance of the electric drive assembly system described by the assembly performance parameter cannot meet the vehicle requirements, and thus it can be determined that the assembly performance parameter does not meet the preset parameter limitation conditions.
[0059] S204, in response to the fact that the assembly performance parameters do not meet the parameter limiting conditions, analyze the component parameters of at least one of the motor control assembly and the reducer assembly to obtain the next assembly performance parameters corresponding to the next component parameters of each component, until the next assembly performance parameters meet the parameter limiting conditions, and obtain the target assembly performance parameters.
[0060] In some possible implementations, in response to the assembly performance parameters not meeting the parameter constraints, cross-validation is performed on the component parameters of at least one of the motor control assembly and the reducer assembly to determine the corresponding root cause parameter, wherein the root cause parameter is the parameter among the component parameters that causes the assembly performance parameters to not meet the parameter constraints.
[0061] In this embodiment of the disclosure, when it is identified that the performance parameters of the assembly do not meet the parameter limitation conditions, it is necessary to analyze the component parameters of each component when the performance parameters of the assembly are obtained, determine the reasons for the failure of the assembly performance parameters to meet the parameter limitation conditions from the component parameters of each component, and determine the parameters corresponding to the reasons as the root cause parameters in each component parameter.
[0062] In scenarios where an electric drive assembly system includes a motor and electronic control component and a reducer component, a cross-validation algorithm based on relevant technologies can be used to perform cross-validation on the component parameters of the motor and electronic control component and the reducer component respectively. Based on the results of the algorithm processing, the root cause parameters that cause the assembly performance parameters to fail to meet the parameter constraints can be determined from the component parameters of the motor and electronic control component and the reducer component respectively.
[0063] In some possible implementations, the input data range of the electric drive assembly system is adjusted based on the root cause parameters, and the next component parameters for each component are determined based on the adjusted input data range to obtain the next assembly performance parameters, until the next assembly performance parameters meet the parameter limiting conditions, thus obtaining the target assembly performance parameters.
[0064] In this embodiment of the disclosure, the reasons why the performance parameters of the assembly do not meet the parameter limitation conditions due to the root cause parameters can be further analyzed, and the input data of the electric drive assembly system can be adjusted based on the analysis results. In this case, the data range of the input data can be adjusted, and new input data can be obtained based on the adjusted range, thereby obtaining the new next component parameters of each component in the electric drive assembly system.
[0065] In this scenario, the new assembly performance parameters obtained by the electric drive assembly system based on the next component parameters of each component can be determined as the next assembly performance parameters. The system continues to determine whether the next assembly performance parameters meet the parameter limitation conditions until the next assembly performance parameters meet the parameter limitation conditions. Then, the assembly performance parameters that meet the parameter limitation conditions are determined as the target assembly performance parameters.
[0066] As an example, such as Figure 4 As shown, when the assembly performance parameters do not meet the parameter limitation conditions, it can return to... Figure 4 The cross-validation module shown uses the cross-validation algorithm deployed in the cross-validation model to cross-validate the component parameters of each component in order to identify the corresponding root cause parameters. Then, based on the root cause parameters, the range of the input data is adjusted to obtain the next assembly performance parameters based on the next component parameters of each component. It continues to determine whether the parameters meet the parameter constraints until the target assembly performance parameters that meet the parameter constraints are obtained.
[0067] It should be noted that, Figure 4 The scenario shown represents the acquisition of powertrain performance parameters in the second round and subsequent rounds. The acquisition process for powertrain performance parameters in the first round is not described. Figure 4 The cross-validation module is shown.
[0068] In some possible implementations, in response to the assembly performance parameters meeting the parameter limitation conditions, the update round corresponding to the assembly performance parameters is obtained; in response to the update round not reaching the update limitation round, the next assembly performance parameter is obtained, until the update limitation round is reached, and the target assembly performance parameters are obtained.
[0069] In this embodiment of the disclosure, the process of obtaining the target assembly performance parameters can also limit the number of update rounds. That is, after obtaining the assembly performance parameters that meet the parameter limitation conditions, the update round corresponding to the assembly performance parameters can be obtained and compared with the preset update limitation rounds. If the update round does not reach the preset update limitation rounds, the process can return to the next round of updating the assembly performance parameters until the assembly performance parameters that meet the parameter limitation conditions and the update rounds reach the update limitation rounds are obtained. The assembly performance parameters can then be determined as the target assembly performance parameters of the electric drive assembly system.
[0070] As an example, such as Figure 4 As shown, when the assembly performance parameters meet the parameter limitation conditions, it can be determined by... Figure 4 The module shown identifies whether the update limit has been reached, determining whether the update cycle corresponding to the performance parameters of the assembly has been reached. Figure 4 As shown, if the update cycle has not reached the update limit, you can return. Figure 4 The cross-validation module is shown, and the process continues to acquire the assembly performance parameters in the next round.
[0071] Accordingly, such as Figure 4As shown, when the update cycle reaches the update limit cycle, the assembly performance parameters that meet the parameter limit conditions and have reached the update limit cycle can be determined as the target assembly performance parameters.
[0072] It should be noted that for assembly performance parameters that meet the parameter constraints but have not reached the required update round, the algorithm deployed in the cross-validation module can be used to process them based on a preset algorithm processing strategy, thereby updating the assembly performance parameters in the next round. The algorithm processing strategy can be set based on the results obtained from relevant simulations and calculations, or it can be set based on other methods; no specific limitations are made here.
[0073] S205, Generate analysis curves corresponding to the performance parameters of the target assembly, wherein the analysis curves are constructed based on Pareto curves.
[0074] In one embodiment of this disclosure, the Pareto curve generation algorithm in the related art can be used to process the target assembly performance parameters to generate curves, and then the Pareto curve corresponding to the target assembly performance parameters can be obtained based on the result of the algorithm processing, and the curve can be determined as the analysis curve corresponding to the target assembly performance parameters.
[0075] As an example, such as Figure 4 As shown, after obtaining the target assembly performance parameters, it can be done through... Figure 4 The curve generation module shown performs curve generation processing on the target assembly performance parameters, thereby obtaining the analysis curves corresponding to the target assembly performance parameters.
[0076] S206. Based on the curve front data of the analysis curve, determine the target system design parameters of the electric drive assembly system.
[0077] In this embodiment of the disclosure, the analysis curve corresponding to the performance parameters of the target assembly contains curve front data. By using this part of the curve front data, the design parameters that enable the electric drive assembly system to meet the vehicle requirements can be obtained, which are the target system design parameters of the electric drive assembly system on the vehicle.
[0078] In some possible implementations, the parameters in the curve front data are analyzed in terms of efficiency and cost dimensions to obtain design parameters that satisfy the constraints corresponding to the efficiency dimension and the constraints of the cost dimension. Based on these design parameters, the design parameters of the target system are obtained.
[0079] In this embodiment of the disclosure, the parameters included in the curve front data can be analyzed based on at least two dimensions, such as the efficiency dimension corresponding to the component operating efficiency and the cost dimension corresponding to the component operating cost.
[0080] Among these, based on the expectation that efficiency is increasing while costs are decreasing, specific constraints can be set for the efficiency and cost dimensions, respectively; no specific constraints are set here.
[0081] In this scenario, analytical algorithms from relevant technologies are used to process the parameters included in the curve front data. Based on the processing results of the analytical algorithms, a subset of parameters that meet the constraints corresponding to both the efficiency dimension and the cost dimension are selected from the parameters included in the curve front data. These subset of parameters can then be used as the design parameters for the electric drive assembly system.
[0082] In this scenario, the design parameters can be further integrated, and the integrated design parameters can be determined as the overall system design parameters of the electric drive assembly system, which is the target system design parameters.
[0083] In this embodiment of the disclosure, the design parameters include at least the following: Voltage and current parameters of the electronic control components in the electric drive assembly system.
[0084] The parameters of the motor components in the electric drive assembly system include: outer diameter, shaft length, air gap, circumferential magnetic bridge thickness, permanent magnet width, magnet spacing, upper permanent magnet thickness, pole arc angle, magnet included angle, stator inner diameter, stator slot depth, stator slot width, number of permanent magnet layers, magnetic bridge thickness, and torque influence factor.
[0085] The parameters of the gear reducer assembly in the electric drive system include the number of teeth, module, pressure angle, helix angle, center distance, displacement coefficient, pressure angle, and tooth width.
[0086] In other words, by analyzing the curve front data, the parameters that meet both the efficiency and cost constraints can be selected from the parameters included in the curve front data and integrated to obtain the corresponding target system design parameters.
[0087] It should be noted that the method for obtaining the design parameters of the electric drive assembly system proposed in this disclosure achieves the final target system design parameters by updating the target assembly performance parameters of the entire electric drive assembly system in multiple rounds.
[0088] As an example, such as Figure 5 As shown, in Figure 5 In the scenarios shown, information can be obtained based on relevant requirements. Figure 5 The input data for the electric drive assembly system shown includes the parameters of the electronic control components, the motor components, and the reducer components, which are then input to... Figure 5In the electric drive assembly system optimizer shown, the assembly performance parameters of the electric drive assembly system are updated and optimized by the update and optimization algorithms deployed by the electronic control component solution unit, the motor component solution unit and the reducer component solution unit, respectively, to obtain the overall target assembly performance parameters of the electric drive assembly system, and then to obtain the overall target system design parameters of the electric drive assembly system.
[0089] In this scenario, the data filtering range for the target system design parameters proposed in this disclosure embodiment is larger than the data filtering range for the overall system design parameters obtained by designing each component separately and then integrating them in related technologies.
[0090] As an example, such as Figure 6 As shown, where, Figure 6 The image shown in part (a) can be understood as representing the separate design of the motor and electronic control components, and the separate design of the reducer component in the related art. Then, the overlapping parts of the design schemes obtained from these separate designs are selected. In other words, Figure 6 The data within the overlapping area of part (a) of the image represents the data selection range for the overall system design scheme of the electric drive assembly system.
[0091] The parameter selection range in the system design scheme of the electric drive assembly system proposed in this embodiment can be understood as... Figure 6 The image in part (b) means that the screening process of the target system design parameters extracted in the embodiments of this disclosure can be screened from the data screening range consisting of all data that can be used as screening data.
[0092] Therefore, it can be seen that the selection range of the target system design parameters proposed in this embodiment is greater than the selection range of design parameters obtained by the method of designing each component separately and then integrating them in the related art.
[0093] The proposed method for obtaining design parameters of an electric drive assembly system obtains the target system design parameters through multiple rounds of updates to the target assembly performance parameters. This improves the system performance of the electric drive assembly system designed based on the target system design parameters. Compared with related technologies that design solutions for multiple components separately, this method expands the data screening range in the design process of the electric drive assembly system, improves the robustness and generalization ability of the finally obtained electric drive assembly system, reduces the design cost and resource consumption of the electric drive assembly system, reduces the possibility that the performance of a single component is optimal but the overall system performance is suboptimal, shortens the design time of the electric drive assembly system, and improves the design efficiency of the electric drive assembly system.
[0094] Corresponding to the electric drive assembly system design parameter acquisition methods proposed in the above embodiments, an embodiment of this disclosure also proposes an electric drive assembly system design parameter acquisition device. Since the electric drive assembly system design parameter acquisition device proposed in this embodiment corresponds to the electric drive assembly system design parameter acquisition methods proposed in the above embodiments, the implementation methods of the above electric drive assembly system design parameter acquisition methods are also applicable to the electric drive assembly system design parameter acquisition device proposed in this embodiment, and will not be described in detail in the following embodiments.
[0095] Figure 7 This is a schematic diagram of the structure of an electric drive assembly system design parameter acquisition device according to an embodiment of the present disclosure, as shown below. Figure 7 As shown, the electric drive assembly system design parameter acquisition device 700 includes an acquisition module 71, an update module 72, and a design module 73, wherein: The acquisition module 71 is used to obtain the assembly performance parameters of the electric drive assembly system based on the component parameters of each component in the electric drive assembly system of the vehicle. The update module 72 is used to update the electric drive assembly system according to the component parameters of at least one of the motor control component and the reducer component in the electric drive assembly system in response to the assembly performance parameters not meeting the preset parameter limit conditions, so as to obtain the target assembly performance parameters. Design module 73 is used to obtain the target system design parameters of the electric drive assembly system based on the target assembly performance parameters.
[0096] In this embodiment of the disclosure, the update module 72 is further configured to: identify whether the assembly performance parameters meet the preset parameter limitation conditions; in response to the assembly performance parameters not meeting the parameter limitation conditions, analyze the component parameters of at least one of the motor control component and the reducer component to obtain the next assembly performance parameters corresponding to the next component parameters of each component, until the next assembly performance parameters meet the parameter limitation conditions, and obtain the target assembly performance parameters.
[0097] In this embodiment of the disclosure, the updating module 72 is further configured to: in response to the assembly performance parameters not meeting the parameter limiting conditions, perform cross-validation on the component parameters of at least one of the motor control component and the reducer component to determine the corresponding root cause parameter, wherein the root cause parameter is the parameter among the component parameters that causes the assembly performance parameters not meeting the parameter limiting conditions; based on the root cause parameter, adjust the input data range of the electric drive assembly system, and determine the next component parameter for each component based on the adjusted input data range to obtain the next assembly performance parameter, until the next assembly performance parameter meets the parameter limiting conditions, thereby obtaining the target assembly performance parameter.
[0098] In this embodiment of the disclosure, the update module 72 is further configured to: in response to the assembly performance parameters meeting the parameter limitation conditions, obtain the update round corresponding to the assembly performance parameters; in response to the update round not reaching the update limitation round, continue to obtain the next assembly performance parameter until the update limitation round is reached, and obtain the target assembly performance parameters.
[0099] In this embodiment of the disclosure, the updating module 72 is further configured to: determine that the assembly performance parameters meet the parameter limitation conditions in response to the matching of the external characteristic parameters obtained by the electric drive assembly system based on the assembly performance parameters with the preset reference external characteristic parameters; and determine that the assembly performance parameters do not meet the parameter limitation conditions in response to the mismatch between the external characteristic parameters and the reference external characteristic parameters; wherein the reference external characteristic parameters include at least the rated power, rated output torque of the electric drive assembly system, the rated wheel end speed of the vehicle to which the electric drive assembly system belongs, and the inflection point limitation range of the corresponding external characteristic curve.
[0100] In this embodiment of the disclosure, the acquisition module 71 is further configured to: acquire the component performance parameters of each component in the electric drive assembly system; and obtain the overall performance parameters of the electric drive assembly system based on the integration of the component performance parameters of each component.
[0101] In this embodiment of the disclosure, the acquisition module 71 is further configured to: determine the output parameter as the component performance parameter of any component in response to the fact that the output parameter of any component in the electric drive assembly system satisfies the output constraint condition corresponding to any component.
[0102] In this embodiment of the disclosure, the design module 73 is further configured to: generate analysis curves corresponding to the performance parameters of the target assembly, wherein the analysis curves are constructed based on Pareto curves; and determine the target system design parameters of the electric drive assembly system based on the curve front data of the analysis curves.
[0103] In this embodiment of the disclosure, the design module 73 is further configured to: analyze each parameter in the curve front data in terms of efficiency and cost dimensions to obtain design parameters that satisfy the constraints corresponding to the efficiency dimension and the constraints of the cost dimension; and obtain the target system design parameters based on each design parameter.
[0104] In this embodiment of the disclosure, the design parameters include at least the following: voltage and current parameters of the electronic control components in the electric drive assembly system; outer diameter, shaft length, air gap, circumferential magnetic bridge thickness, permanent magnet width, magnet spacing, upper permanent magnet thickness, pole arc angle, magnet included angle, stator inner diameter, stator slot depth, stator slot width, number of permanent magnet layers, magnetic bridge thickness, and torque influence factor parameters of the motor assembly in the electric drive assembly system; and tooth count, module, pressure angle, helix angle, center distance, displacement coefficient, pressure angle, and tooth width parameters of the reducer assembly in the electric drive assembly system.
[0105] The electric drive assembly system design parameter acquisition device disclosed herein obtains the overall performance parameters of the electric drive assembly system based on the component parameters of each component. When the overall performance parameters do not meet preset parameter constraints, the device updates the overall performance parameters by adjusting the component parameters of at least one of the motor control components and the reducer components. Then, based on the target overall performance parameters that meet the parameter constraints, the target system design parameters of the electric drive assembly system are obtained. This process of obtaining the target system design parameters through multiple rounds of updates improves the system performance of the electric drive assembly system designed based on the target system design parameters. Compared to related technologies that design solutions for multiple components separately, this device expands the data filtering range in the electric drive assembly system design process, improves the robustness and generalization ability of the final obtained electric drive assembly system, reduces the design cost and resource consumption of the electric drive assembly system, reduces the possibility of optimal performance for a single component but suboptimal overall system performance, shortens the design time of the electric drive assembly system, improves the design efficiency of the electric drive assembly system, and optimizes the design method and design effect of the electric drive assembly system.
[0106] To achieve the above embodiments, this disclosure also provides a vehicle for implementing the electric drive assembly system design parameter acquisition method proposed in the above embodiments.
[0107] Figure 8 This is a schematic diagram of the structure of an electronic device according to an embodiment of the present disclosure. For example, the electronic device 800 may be a vehicle, mobile phone, computer, digital broadcasting terminal, messaging device, game console, tablet device, medical device, fitness equipment, personal digital assistant, etc.
[0108] Reference Figure 8 The electronic device 800 may include one or more of the following components: processing component 802, memory 804, power component 806, multimedia component 808, audio component 810, input / output (I / O) interface 812, sensor component 814, and communication component 816.
[0109] Processing component 802 typically controls the overall operation of electronic device 800, such as operations associated with display, telephone calls, data communication, camera operation, and recording operations. Processing component 802 may include one or more processors 820 to execute instructions to complete all or part of the steps in the above-described method for obtaining the design parameters of the electric drive assembly system. Furthermore, processing component 802 may include one or more modules to facilitate interaction between processing component 802 and other components. For example, processing component 802 may include a multimedia module to facilitate interaction between multimedia component 808 and processing component 802.
[0110] Memory 804 is configured to store various types of data to support the operation of electronic device 800. Examples of this data include instructions for any application or method operating on electronic device 800, contact data, phonebook data, messages, pictures, videos, etc. Memory 804 can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as Static Random Access Memory (SRAM), Electrically Erasable Programmable Read-Only Memory (EEPROM), Erasable Programmable Read-Only Memory (EPROM), Programmable Read-Only Memory (PROM), Read-Only Memory (ROM), magnetic storage, flash memory, magnetic disk, or optical disk.
[0111] Power component 806 provides power to various components of electronic device 800. Power component 806 may include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing power to electronic device 800.
[0112] Multimedia component 808 includes a screen that provides an output interface between electronic device 800 and user. In some embodiments, the screen may include a Liquid Crystal Display (LCD) and a Touch Panel (TP). If the screen includes a Touch Panel, the screen may be implemented as a touchscreen to receive input signals from the user. The Touch Panel includes one or more touch sensors to sense touches, swipes, and gestures on the Touch Panel. The touch sensors may sense not only the boundaries of touch or swipe actions but also the duration and pressure associated with the touch or swipe operation. In some embodiments, multimedia component 808 includes a front-facing camera and / or a rear-facing camera. When electronic device 800 is in an operating mode, such as a shooting mode or video mode, the front-facing camera and / or rear-facing camera may receive external multimedia data. Each front-facing camera and rear-facing camera may be a fixed optical lens system or have focal length and optical zoom capabilities.
[0113] Audio component 810 is configured to output and / or input audio signals. For example, audio component 810 includes a microphone (MIC) configured to receive external audio signals when electronic device 800 is in an operating mode, such as call mode, recording mode, and voice recognition mode. The received audio signals may be further stored in memory 804 or transmitted via communication component 816. In some embodiments, audio component 810 also includes a speaker for outputting audio signals.
[0114] I / O interface 812 provides an interface between processing component 802 and peripheral interface modules, such as keyboards, click wheels, buttons, etc. These buttons may include, but are not limited to, home buttons, volume buttons, power buttons, and lock buttons.
[0115] Sensor assembly 814 includes one or more sensors for providing state assessments of various aspects of electronic device 800. For example, sensor assembly 814 can detect the on / off state of electronic device 800, the relative positioning of components such as the display and keypad of electronic device 800, changes in position of electronic device 800 or a component of electronic device 800, the presence or absence of user contact with electronic device 800, orientation or acceleration / deceleration of electronic device 800, and temperature changes of electronic device 800. Sensor assembly 814 may include a proximity sensor configured to detect the presence of nearby objects without any physical contact. Sensor assembly 814 may also include an optical sensor, such as a complementary metal-oxide-semiconductor (CMOS) or charge-coupled device (CCD) image sensor, for use in imaging applications. In some embodiments, sensor assembly 814 may also include an accelerometer, gyroscope, magnetometer, pressure sensor, or temperature sensor.
[0116] Communication component 816 is configured to facilitate wired or wireless communication between electronic device 800 and other devices. Electronic device 800 can access wireless networks based on communication standards, such as WiFi, 4G, or 5G, or combinations thereof. In one exemplary embodiment, communication component 816 receives broadcast signals or broadcast-related information from an external broadcast management system via a broadcast channel. In one exemplary embodiment, communication component 816 also includes a Near Field Communication (NFC) module to facilitate short-range communication. For example, the NFC module may be implemented based on Radio Frequency Identification (RFID), Infrared Data Association (IrDA), Ultra-Wideband (UWB), Bluetooth, and other technologies.
[0117] In an exemplary embodiment, the electronic device 800 may be implemented by one or more application-specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field-programmable gate arrays (FPGAs), controllers, microcontrollers, microprocessors, or other electronic components to execute the above-described method for obtaining design parameters of the electric drive assembly system.
[0118] In an exemplary embodiment, a non-transitory computer-readable storage medium including instructions is also provided, such as a memory 804 including instructions, which can be executed by a processor 820 of an electronic device 800 to complete the above-described method for obtaining design parameters of an electric drive assembly system. For example, the non-transitory computer-readable storage medium may be a read-only memory (ROM), a random access memory (RAM), a compact disc read-only memory (CD-ROM), magnetic tape, a floppy disk, and an optical data storage device, etc.
[0119] To implement the above embodiments, this disclosure also proposes a computer-readable storage medium storing computer program instructions thereon, which, when executed by a processor, implement the steps of the electric drive assembly system design parameter acquisition method provided in this disclosure.
[0120] Alternatively, the computer-readable storage medium may be ROM, random access memory (RAM), CD-ROM, magnetic tape, floppy disk, and optical data storage device, etc.
[0121] To implement the above embodiments, this disclosure also proposes a chip including an interface circuit and a processing circuit coupled to each other. The interface circuit is used to input or output signals, and the processing circuit is configured to implement the steps of the electric drive assembly system design parameter acquisition method provided in this disclosure.
[0122] Figure 9 This is a schematic diagram of the structure of a chip according to an embodiment of this disclosure. See also... Figure 9 The diagram shown is a schematic representation of the structure of chip 900, but it is not limited to this.
[0123] Chip 900 includes processing circuit 901, which is configured to execute any of the above electric drive assembly system design parameter acquisition methods.
[0124] In some embodiments, the chip 900 further includes one or more interface circuits 902. Optionally, the interface circuit 902 is connected to the memory 903, and the interface circuit 902 can be used to receive signals from the memory 903 or other devices, and the interface circuit 902 can be used to send signals to the memory 903 or other devices. For example, the interface circuit 902 can read instructions stored in the memory 903 and send the instructions to the processing circuit 901.
[0125] In some embodiments, the interface circuit 902 performs at least one of the communication steps such as sending and / or receiving in the above method, and the processing circuit 901 performs other steps.
[0126] In some embodiments, the terms interface circuit, interface, transceiver pin, transceiver, etc., can be used interchangeably.
[0127] In some embodiments, chip 900 further includes one or more memories 903 for storing instructions. Optionally, all or part of the memories 903 may be located outside of chip 900.
[0128] To implement the above embodiments, this disclosure also proposes a computer program product, including a computer program, which, when executed by a processor, implements the steps of the electric drive assembly system design parameter acquisition method provided in this disclosure.
[0129] Other embodiments of this disclosure will readily occur to those skilled in the art upon consideration of the specification and practice of the invention disclosed herein. This disclosure is intended to cover any variations, uses, or adaptations of this disclosure that follow the general principles of this disclosure and include common knowledge or customary techniques in the art not disclosed herein. The specification and examples are to be considered exemplary only, and the true scope and spirit of this disclosure are indicated by the following claims.
[0130] It should be understood that this disclosure is not limited to the precise structures described above and shown in the accompanying drawings, and various modifications and changes can be made without departing from its scope. The scope of this disclosure is limited only by the appended claims.
Claims
1. A method for obtaining design parameters of an electric drive assembly system, characterized in that, The method includes: Based on the component parameters of each component in the vehicle's electric drive system, the corresponding assembly performance parameters of the electric drive system are obtained. In response to the fact that the assembly performance parameters do not meet the preset parameter limitation conditions, the electric drive assembly system is updated according to the component parameters of at least one of the motor control component and the reducer component in the electric drive assembly system to obtain the target assembly performance parameters. Based on the target assembly performance parameters, the target system design parameters of the electric drive assembly system are obtained.
2. The method according to claim 1, characterized in that, In response to the fact that the assembly performance parameters do not meet the preset parameter limitation conditions, the electric drive assembly system is updated according to the component parameters of at least one of the motor control assembly and the reducer assembly in the electric drive assembly system to obtain the target assembly performance parameters, including: Identify whether the performance parameters of the assembly meet the preset parameter limitation conditions; In response to the fact that the assembly performance parameters do not meet the parameter limiting conditions, the component parameters of at least one of the motor control assembly and the reducer assembly are analyzed to obtain the next assembly performance parameters corresponding to the next component parameters of each component, until the next assembly performance parameters meet the parameter limiting conditions, and the target assembly performance parameters are obtained.
3. The method according to claim 2, characterized in that, In response to the assembly performance parameters not meeting the parameter limiting conditions, the component parameters of at least one of the motor control assembly and the reducer assembly are analyzed to obtain the next assembly performance parameters corresponding to the next component parameters of each component, until the next assembly performance parameters meet the parameter limiting conditions, thereby obtaining the target assembly performance parameters, including: In response to the fact that the performance parameters of the assembly do not meet the parameter limiting conditions, cross-validation is performed on the component parameters of at least one of the motor control assembly and the reducer assembly to determine the corresponding root cause parameter, wherein the root cause parameter is the parameter among the component parameters that causes the performance parameters of the assembly to fail to meet the parameter limiting conditions; Based on the root cause parameters, the input data range of the electric drive assembly system is adjusted, and the next component parameters of each component are determined based on the adjusted input data range to obtain the next assembly performance parameters, until the next assembly performance parameters meet the parameter limiting conditions, and the target assembly performance parameters are obtained.
4. The method according to claim 3, characterized in that, The method further includes: In response to the assembly performance parameters meeting the parameter limitation conditions, the update round corresponding to the assembly performance parameters is obtained; In response to the fact that the update cycle has not reached the update limit cycle, the next assembly performance parameter is obtained until the update limit cycle is reached, and the target assembly performance parameter is obtained.
5. The method according to claim 2, characterized in that, The step of identifying whether the assembly performance parameters meet preset parameter limitation conditions includes: In response to the matching of the external characteristic parameters obtained by the electric drive assembly system based on the assembly performance parameters with the preset reference external characteristic parameters, it is determined that the assembly performance parameters meet the parameter limiting conditions; In response to the mismatch between the external characteristic parameter and the reference external characteristic parameter, it is determined that the assembly performance parameter does not meet the parameter limitation condition; The reference external characteristic parameters include at least the rated power and rated output torque of the electric drive system, the rated wheel-end speed of the vehicle to which the electric drive system belongs, and the inflection point limit range of the corresponding external characteristic curve.
6. The method according to claim 1, characterized in that, The process of obtaining the overall performance parameters of the electric drive system based on the component parameters of each component in the vehicle's electric drive system includes: Obtain the component performance parameters of each component in the electric drive assembly system; The overall performance parameters of the electric drive assembly system are obtained by integrating the component performance parameters of each component.
7. The method according to claim 6, characterized in that, The acquisition of component performance parameters of each component in the electric drive assembly system includes: In response to the fact that the output parameters of any component in the electric drive assembly system satisfy the output constraints corresponding to that component, the output parameters are determined to be the component performance parameters of that component.
8. The method according to claim 1, characterized in that, The process of obtaining the target system design parameters for the electric drive assembly system based on the target assembly performance parameters includes: Generate analysis curves corresponding to the performance parameters of the target assembly, wherein the analysis curves are constructed based on Pareto curves; Based on the curve front data of the analysis curve, the target system design parameters of the electric drive assembly system are determined.
9. The method according to claim 8, characterized in that, The determination of the target system design parameters for the electric drive assembly system based on the leading edge data of the analysis curve includes: The parameters in the curve front data are analyzed in terms of efficiency and cost dimensions to obtain design parameters that meet the constraints corresponding to the efficiency dimension and the constraints of the cost dimension. Based on each design parameter, the design parameters of the target system are obtained.
10. The method according to claim 9, characterized in that, The design parameters include at least the following: Voltage and current parameters of the electronic control components in the electric drive assembly system; The parameters of the motor assembly in the electric drive system are as follows: outer diameter, shaft length, air gap, circumferential magnetic bridge thickness, permanent magnet width, magnet spacing, upper permanent magnet thickness, pole arc angle, magnet included angle, stator inner diameter, stator slot depth, stator slot width, number of permanent magnet layers, magnetic bridge thickness, and torque influence factor. The parameters of the gear reducer assembly in the electric drive system include the number of teeth, module, pressure angle, helix angle, center distance, displacement coefficient, pressure angle, and tooth width.
11. A device for acquiring design parameters of an electric drive assembly system, characterized in that, The device includes: The acquisition module is used to obtain the assembly performance parameters corresponding to the electric drive assembly system based on the component parameters of each component in the vehicle's electric drive assembly system. An update module is used to update the electric drive assembly system according to the component parameters of at least one of the motor control component and the reducer component in the electric drive assembly system when the assembly performance parameters do not meet the preset parameter limitation conditions, so as to obtain the target assembly performance parameters. The design module is used to obtain the target system design parameters of the electric drive assembly system based on the performance parameters of the target assembly.
12. The apparatus according to claim 11, characterized in that, The update module is also used for: Identify whether the performance parameters of the assembly meet the preset parameter limitation conditions; In response to the fact that the assembly performance parameters do not meet the parameter limiting conditions, the component parameters of at least one of the motor control assembly and the reducer assembly are analyzed to obtain the next assembly performance parameters corresponding to the next component parameters of each component, until the next assembly performance parameters meet the parameter limiting conditions, and the target assembly performance parameters are obtained.
13. The apparatus according to claim 12, characterized in that, The update module is also used for: In response to the fact that the performance parameters of the assembly do not meet the parameter limiting conditions, cross-validation is performed on the component parameters of at least one of the motor control assembly and the reducer assembly to determine the corresponding root cause parameter, wherein the root cause parameter is the parameter among the component parameters that causes the performance parameters of the assembly to fail to meet the parameter limiting conditions; Based on the root cause parameters, the input data range of the electric drive assembly system is adjusted, and the next component parameters of each component are determined based on the adjusted input data range to obtain the next assembly performance parameters, until the next assembly performance parameters meet the parameter limiting conditions, and the target assembly performance parameters are obtained.
14. The apparatus according to claim 11, characterized in that, The acquisition module is also used for: Obtain the component performance parameters of each component in the electric drive assembly system; The overall performance parameters of the electric drive assembly system are obtained by integrating the component performance parameters of each component.
15. The apparatus according to claim 11, characterized in that, The design module is also used for: Generate analysis curves corresponding to the performance parameters of the target assembly, wherein the analysis curves are constructed based on Pareto curves; Based on the curve front data of the analysis curve, the target system design parameters of the electric drive assembly system are determined.
16. A vehicle, characterized in that, The vehicle is used to implement the method as described in any one of claims 1-10.
17. An electronic device, characterized in that, include: processor; Memory used to store the processor's executable instructions; The processor is configured to execute instructions to implement the method as described in any one of claims 1-10.
18. A computer-readable storage medium, wherein when instructions in the computer-readable storage medium are executed by a processor of an electronic device, the electronic device is enabled to perform the method as described in any one of claims 1-10.
19. A chip, characterized in that, The device includes one or more interface circuits and one or more processors; the interface circuits are used to receive signals and send the signals to the processors, the signals including computer instructions stored in a memory, which, when executed by the processors, cause the chip to perform the steps of the method according to any one of claims 1-10.