Methods, media, equipment and products for carrier noise optimization in high-voltage electrical systems

Abstract

This application discloses a method, medium, device, and product for optimizing carrier noise in a high-voltage electrical system. The method involves acquiring impedance data, structural data, and operational data of high-voltage electrical components in the system; constructing an electrical ripple simulation platform based on the impedance data to simulate the ripple current generated by the high-voltage electrical components during operation; constructing a structural acoustic simulation platform based on the structural data to simulate the carrier noise generated by the high-voltage electrical components under the influence of ripple current; performing joint simulation of the electrical ripple simulation platform and the structural acoustic simulation platform based on the operational data to obtain sensitive parameters affecting carrier noise; and adjusting the high-voltage electrical system based on these sensitive parameters to optimize carrier noise.

Description

Technical Field

[0001] This application belongs to the field of noise optimization, specifically relating to a carrier noise optimization method, storage medium, electronic equipment, and computer program product for a high-voltage electrical system. Background Technology

[0002] In recent years, with the rapid development of new energy vehicles and low-altitude aircraft, high-voltage platforms ranging from 400V to 1500V and the high-frequency operation of power semiconductors have become the industry mainstream. Against this backdrop, the current ripple problem caused by high-frequency switching of switching devices and dynamic load changes has become increasingly prominent. The frequency characteristics of impedance directly determine the amplitude of ripple current, which in turn significantly amplifies the switching noise of the controller.

[0003] Currently, ripple testing mainly relies on standards such as ISO-21498, which involves disassembling high-voltage cables to conduct independent static tests on each component. However, this testing method ignores the complex electrical coupling characteristics under the overall system operating conditions, failing to accurately reflect the ripple behavior of the entire vehicle in dynamic conditions, and also making it difficult to establish an effective correlation between ripple and carrier noise. Furthermore, this method is time-consuming and costly, severely hindering product development efficiency.

[0004] Therefore, a method that can effectively predict and optimize carrier noise is needed, which is of great significance for reducing development costs and improving product development efficiency. Summary of the Invention

[0005] The purpose of this application is to provide a carrier noise optimization method, medium, device, and product for high-voltage electrical systems, which can solve the problem that traditional ripple testing is difficult to establish an effective correlation between ripple and carrier noise.

[0006] In a first aspect, embodiments of this application provide a method for optimizing carrier noise in a high-voltage electrical system, the method comprising: Obtain impedance data, structural data, and operational data of the high-voltage electrical components in the high-voltage electrical system; An electrical ripple simulation platform was built based on the impedance data to simulate the ripple current generated by the high-voltage electrical components during operation. Based on the structural data, a structural acoustic simulation platform is built to simulate the carrier noise generated by the high-voltage electrical components under the action of the ripple current. Based on the operational data, the electrical ripple simulation platform and the structural acoustic simulation platform are jointly simulated to obtain the sensitive parameters that affect the carrier noise; The high-voltage electrical system is adjusted according to the sensitive parameters to optimize the carrier noise.

[0007] Optionally, the high-voltage electrical components include a battery pack, a high-voltage wiring harness, a motor controller, and a motor. The step of building an electrical ripple simulation platform based on the impedance data to simulate the ripple current generated by the high-voltage electrical components during operation includes: Based on the first impedance data of the battery pack, a battery pack simulation subsystem is constructed to simulate the output characteristics of the battery pack under different states of charge. Based on the second impedance data of the high-voltage line harness, a high-voltage line harness simulation subsystem is constructed for simulating the distributed parameter characteristics of the high-voltage line harness. Based on the third impedance data of the motor controller, an electrical control simulation subsystem is constructed to simulate the on / off state of the switching devices in the motor controller. Based on the fourth impedance data of the motor, a motor simulation subsystem is constructed for simulating the operation of the motor; Based on the fourth impedance data of the motor, a control simulation subsystem for generating drive commands is constructed, which are used to control the switching device; Based on the battery pack simulation subsystem and the high-voltage wiring harness simulation subsystem, a ripple signal analysis subsystem is constructed for extracting and analyzing the ripple signal. The battery pack simulation subsystem, high-voltage wiring harness simulation subsystem, electrical control simulation subsystem, motor simulation subsystem, control simulation subsystem, and ripple signal analysis subsystem are connected to form the electrical ripple simulation platform.

[0008] Optionally, the step of building a structural acoustic simulation platform based on the structural data to simulate the carrier noise generated by the high-voltage electrical component under the action of the ripple current includes: The vibration characteristics and sound transmission characteristics of the high-voltage electrical component are simulated based on the structural data to obtain the vibration data and sound transmission data of the high-voltage electrical component under different excitations. The structural acoustic simulation platform is constructed based on the vibration data and sound transmission data of the high-voltage electrical components under different excitations.

[0009] Optionally, the step of jointly simulating the electrical ripple simulation platform and the structural acoustic simulation platform based on the operating data to obtain sensitive parameters affecting the carrier noise includes: The ripple current is determined based on the operating data and the electrical ripple simulation platform. Sensitive parameters are determined based on ripple current and the structural acoustic simulation platform.

[0010] Optionally, determining the ripple current based on the operating data and the electrical ripple simulation platform includes: The running data is input into the electrical ripple simulation platform, and the platform is driven to run to obtain the current time-domain data of the high-voltage electrical component at the node; the node is the connection point between different high-voltage electrical components. The current time-domain data is transformed by frequency domain to obtain current spectrum data; Extract the ripple current from the current spectrum data.

[0011] Optionally, determining the sensitive parameters based on the ripple current and the structural acoustic simulation platform includes: The ripple current is converted into ripple excitation and input into the structural acoustic simulation platform to obtain the vibration response data and noise response data of the high-voltage electrical component under different ripple excitations. By changing the adjustable parameters in the electrical ripple simulation platform and repeating the co-simulation process, vibration response data and noise response data under different parameter combinations can be obtained. The vibration response data and noise response data under different parameter combinations were compared to obtain the comparison results; The sensitive parameter is determined from multiple parameter combinations based on the comparison results.

[0012] Optionally, adjusting the high-voltage electrical system according to the sensitive parameters to optimize the carrier noise includes: The software control parameters and / or hardware design parameters of the high-voltage electrical components are adjusted according to the sensitive parameters to optimize the carrier noise.

[0013] Secondly, embodiments of this application provide a storage medium that stores computer instructions, which, when executed by a computer, are used to perform the steps of the carrier noise optimization method for a high-voltage electrical system as described in the first aspect.

[0014] Thirdly, embodiments of this application provide an electronic device, including at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, the instructions being executed by the at least one processor to enable the at least one processor to perform the steps of the carrier noise optimization method for a high-voltage electrical system as described in the first aspect.

[0015] Fourthly, embodiments of this application provide a computer program product, including a computer program / instructions that, when executed by a processor, implement the steps of the carrier noise optimization method for a high-voltage electrical system as described in the first aspect.

[0016] In this embodiment, by acquiring impedance, structural, and operational data of high-voltage electrical components in a high-voltage electrical system, comprehensive and accurate basic inputs can be provided for subsequent simulation analysis, avoiding data deviations caused by neglecting the overall coupling characteristics of the system in traditional testing. An electrical ripple simulation platform can be built based on the impedance data to reproduce the ripple current generated during the operation of high-voltage electrical components in a simulation environment, eliminating the need for complete disassembly and independent impedance testing of the high-voltage component system, significantly reducing testing costs and time. Furthermore, a structural acoustic simulation platform can be built based on the structural data to simulate the vibration response and sound radiation of high-voltage electrical components under the action of ripple current. This process effectively solves the problem of not being able to test vehicle noise with NVH equipment while the wiring is disconnected in traditional testing. By jointly simulating the electrical ripple simulation platform and the structural acoustics simulation platform based on the operating data, the entire physical process from electrical ripple generation to structural vibration response and sound radiation can be fully reproduced. This establishes an effective correlation between ripple and carrier noise and identifies the sensitive parameters that affect carrier noise. Adjusting the high-voltage electrical system based on the sensitive parameters allows for precise adjustments to the high-voltage electrical system in the early stages of product development, achieving positive optimization of carrier noise, avoiding extensive testing and debugging work in the later stages, significantly shortening the development cycle and reducing R&D costs. Attached Figure Description

[0017] Figure 1 This is a flowchart illustrating the steps of a carrier noise optimization method for a high-voltage electrical system provided in an embodiment of this application. Figure 2 This is a schematic diagram of the structure of an electrical ripple simulation platform provided in an embodiment of this application; Figure 3 This is a schematic diagram of the structure of an impedance data extraction system provided in an embodiment of this application; Figure 4 This is a schematic diagram of the structure of a structural acoustic simulation platform provided in an embodiment of this application; Figure 5 This is a schematic diagram of the process of joint simulation of an electrical ripple simulation platform and a structural acoustic simulation platform provided in an embodiment of this application; Figure 6 This is a schematic diagram of the hardware structure of an electronic device provided in an embodiment of this application. Detailed Implementation

[0018] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0019] The terms "first," "second," etc., used in the specification and claims of this application are used to distinguish similar objects and not to describe a specific order or sequence. It should be understood that such use of data can be interchanged where appropriate so that embodiments of this application can be implemented in orders other than those illustrated or described herein. Furthermore, in the specification and claims, "and / or" indicates at least one of the connected objects, and the character " / " generally indicates that the preceding and following objects are in an "or" relationship.

[0020] The carrier noise optimization method for high-voltage electrical systems provided in this application will be described in detail below with reference to the accompanying drawings, through specific embodiments and application scenarios.

[0021] Reference Figure 1 This is a flowchart illustrating the steps of a carrier noise optimization method for a high-voltage electrical system provided in this application embodiment, specifically including the following steps: Step 101: Obtain the impedance data, structural data, and operational data of the high-voltage electrical components in the high-voltage electrical system; During the operation of high-voltage electrical systems in new energy vehicles, the high-frequency switching of switching devices and dynamic changes in load cause fluctuations in current ripple, which in turn generate carrier noise due to excessive peak and sudden changes in ripple current. These ripples can adversely affect the stability and reliability of the system. Extensive testing and theoretical research have revealed that carrier noise, as a high-frequency noise, is strongly correlated with ripple current. The impedance is closely related to the frequency, directly determining the amplitude of the ripple current under high-voltage conditions. A more direct impact is the significant amplification of controller switching noise, thereby causing product quality issues.

[0022] Since the generation and propagation of carrier noise involves multiple factors such as electrical characteristics and structural response, in order to effectively optimize the carrier noise in this embodiment, it is necessary to first obtain impedance data, structural data and operating data related to each high-voltage electrical component in the high-voltage electrical system in order to establish a complete simulation analysis basis.

[0023] Specifically, impedance data of high-voltage electrical components refers to characteristic parameters describing the obstruction and phase influence of each component on current during electrical conduction, used to construct the electrical characteristic model of the high-voltage electrical system; structural data of high-voltage electrical components refers to parameters describing the geometry, material properties, and dynamic characteristics of each component, used to construct the mechanical structure and acoustic response model of the high-voltage electrical system; and operational data of high-voltage electrical components refers to parameters describing the operational state of each component, constituting different operating conditions of the high-voltage electrical system, used to drive the simulation platform to simulate the real working scenarios of the high-voltage electrical system.

[0024] Step 102: Based on the impedance data, build an electrical ripple simulation platform to simulate the ripple current generated by the high-voltage electrical components during operation; In this embodiment, impedance data reflects the inherent resistance, inductance, and capacitance characteristics of each high-voltage electrical component during current conduction, as well as the variation of these parameters with frequency, serving as the basis for describing the electrical behavior of the component. An electrical ripple simulation platform is constructed based on the impedance data of each high-voltage electrical component, enabling a realistic reproduction of the conduction and distribution characteristics of current in a high-voltage electrical network.

[0025] Currently, ripple testing is mainly based on ISO-21498 and VW80300 standards. These standards involve disassembling high-voltage cables and conducting independent static tests on components such as motors, battery packs, and air conditioners. However, this method ignores the inter-component impedance, distributed parameters, and resonance effects under overall system conditions, failing to accurately reflect the ripple behavior of the entire vehicle during operation. Furthermore, the testing cycle is long and the cost is high, severely hindering development efficiency.

[0026] Therefore, this embodiment of the application constructs an electrical ripple simulation platform in the simulation platform, which includes components such as battery packs, high-voltage wiring harnesses, motor controllers, and motors, by using the impedance data of each high-voltage electrical component. The impedance characteristics of independent components are integrated into a unified electrical network system for joint simulation. Thus, without the need for a complete disassembly of the high-voltage component system and independent impedance testing, the ripple current generated in the high-voltage electrical system can be accurately calculated through the electrical ripple simulation platform.

[0027] Step 103: Based on the structural data, build a structural acoustic simulation platform for simulating the carrier noise generated by the high-voltage electrical components under the action of the ripple current; In this embodiment, structural data describes the geometry, material properties, and dynamic characteristics of high-voltage electrical components, which is the basis for determining how the mechanical structure vibrates under stress and how the vibration radiates noise. A structural acoustic simulation platform built based on structural data can simulate the vibration response of components under electromagnetic excitation (ripple current) and the physical process of radiating sound waves to the surrounding medium.

[0028] Existing testing methods, when the device is disassembled and wires are disconnected, cannot use NVH (Noise, Vibration, and Harshness) equipment to test ripple noise in the whole vehicle state, making it difficult to effectively verify the correlation between ripple and noise. Furthermore, due to the lack of simulation tools that can couple electrical excitation with structural response, developers cannot predict carrier noise levels during the design phase and can only troubleshoot problems through repeated testing after prototype production, resulting in significant time and cost waste.

[0029] Therefore, this application embodiment acquires the structural data of high-voltage electrical components, constructs a structural acoustic simulation platform including key components such as motors and battery packs, and configures the platform to receive force excitation converted from ripple current, thereby realizing the reproduction of the structural vibration and acoustic radiation process under the action of ripple current in the simulation environment, laying the foundation for subsequent carrier noise analysis and optimization.

[0030] Step 104: Perform joint simulation on the electrical ripple simulation platform and the structural acoustic simulation platform based on the operating data to obtain the sensitive parameters that affect the carrier noise; In this embodiment, the operational data describes the operating state of the high-voltage electrical system under different operating conditions, such as parameters like speed, torque, temperature, and SOC (State of Charge). These parameters serve as input conditions for the simulation platform to simulate real-world working scenarios. Joint simulation using the electrical ripple simulation platform and the structural acoustics simulation platform can fully reproduce the entire physical process from electrical ripple generation to structural vibration response and sound radiation.

[0031] Existing testing methods cannot fully simulate the impedance and ripple current of vehicles under acceleration, braking, ramp conditions, power supply, temperature changes, different switching frequencies, and different SOC states. This makes it impossible to conduct joint debugging of various systems, and impedance drift and errors are uncontrollable, making it difficult to guarantee the reliability and accuracy of experimental results.

[0032] Therefore, this embodiment of the application drives two simulation platforms to calculate ripple curves and carrier noise under different load conditions, different SOCs, and temperature differences by inputting different operating data. Based on this, by changing the adjustable parameters in the electrical ripple simulation platform and comparing the noise response under different parameter combinations, the most sensitive parameters that have the most significant impact on carrier noise can be identified in the early stages of development, enabling positive control over key design elements such as filter circuits and software strategies.

[0033] Meanwhile, for the carrier noise problem that has already occurred, the embodiments of this application can also use simulation analysis to investigate the cause and formulate a solution, avoiding a large amount of testing and debugging work, thereby significantly shortening the test cycle and reducing the development cost of a single vehicle by tens of millions of yuan.

[0034] Step 105: Adjust the high-voltage electrical system according to the sensitive parameters to optimize the carrier noise.

[0035] In this application embodiment, the sensitive parameters reveal the degree of influence of different design elements on carrier noise. Based on the type and degree of influence of the sensitive parameters, developers can make targeted adjustments to the high-voltage electrical system in the early stages of product design, thereby effectively controlling the carrier noise generated by the high-voltage electrical system. This method of precise optimization based on simulation-identified sensitive parameters changes the traditional development model that relies on experience and repeated trial and error, improves the product's NVH performance and user satisfaction, and avoids a large amount of testing and debugging work in the later stages, significantly shortening the development cycle, reducing R&D costs, and significantly enhancing the product's market competitiveness.

[0036] In this embodiment, by acquiring impedance, structural, and operational data of high-voltage electrical components in a high-voltage electrical system, comprehensive and accurate basic inputs can be provided for subsequent simulation analysis, avoiding data deviations caused by neglecting the overall coupling characteristics of the system in traditional testing. An electrical ripple simulation platform can be built based on the impedance data to reproduce the ripple current generated during the operation of high-voltage electrical components in a simulation environment, eliminating the need for complete disassembly and independent impedance testing of the high-voltage component system, significantly reducing testing costs and time. Furthermore, a structural acoustic simulation platform can be built based on the structural data to simulate the vibration response and sound radiation of high-voltage electrical components under the action of ripple current. This process effectively solves the problem of not being able to test vehicle noise with NVH equipment while the wiring is disconnected in traditional testing. By jointly simulating the electrical ripple simulation platform and the structural acoustics simulation platform based on the operating data, the entire physical process from electrical ripple generation to structural vibration response and sound radiation can be fully reproduced. This establishes an effective correlation between ripple and carrier noise and identifies the sensitive parameters that affect carrier noise. Adjusting the high-voltage electrical system based on the sensitive parameters allows for precise adjustments to the high-voltage electrical system in the early stages of product development, achieving positive optimization of carrier noise, avoiding extensive testing and debugging work in the later stages, significantly shortening the development cycle and reducing R&D costs.

[0037] In one embodiment of this application, the high-voltage electrical component includes a battery pack, a high-voltage wiring harness, a motor controller, and a motor. The step of constructing an electrical ripple simulation platform based on the impedance data to simulate the ripple current generated by the high-voltage electrical component during operation includes: Based on the first impedance data of the battery pack, a battery pack simulation subsystem 201 is constructed to simulate the output characteristics of the battery pack under different states of charge. Based on the second impedance data of the high-voltage line harness, a high-voltage line harness simulation subsystem 202 is constructed to simulate the distributed parameter characteristics of the high-voltage line harness. Based on the third impedance data of the motor controller, an electrical control simulation subsystem 203 is constructed to simulate the on / off state of the switching devices in the motor controller. Based on the fourth impedance data of the motor, a motor simulation subsystem 204 is constructed for simulating the operation of the motor; Based on the fourth impedance data of the motor, a control simulation subsystem 205 is constructed to generate drive commands, which are used to control the switching device. Based on the battery pack simulation subsystem and the high-voltage wiring harness simulation subsystem, a ripple signal analysis subsystem 206 is constructed for extracting and analyzing the ripple signal; The battery pack simulation subsystem, high-voltage wiring harness simulation subsystem, electrical control simulation subsystem, motor simulation subsystem, control simulation subsystem, and ripple signal analysis subsystem are connected to form the electrical ripple simulation platform.

[0038] In this embodiment, the high-voltage electrical system mainly includes high-voltage electrical components such as a battery pack, high-voltage wiring harness, motor controller, and motor.

[0039] Reference Figure 2 This is a schematic diagram of the structure of an electrical ripple simulation platform provided in this application embodiment, which mainly includes a battery pack simulation subsystem 201, a high-voltage wiring harness simulation subsystem 202, an electrical control simulation subsystem 203, a motor simulation subsystem 204, a control simulation subsystem 205, and a ripple signal analysis subsystem 206.

[0040] Specifically, based on the battery pack's initial impedance data, a battery pack simulation subsystem 201 is constructed to simulate the battery pack's output characteristics under different states of charge (SOC). Battery pack simulation subsystem 201 is built using the Simscape Battery library and employs a second-order RC (Resistor-Capacitance) equivalent circuit model as the battery pack model. The initial impedance data includes ohmic internal resistance, polarization resistance, and polarization capacitance, which are obtained by fitting battery pulse test data. The battery pack model consists of multiple cells connected in series, with a rated voltage of 400V set according to vehicle requirements. Furthermore, battery pack simulation subsystem 201 includes an ideal passive balancing circuit, consisting of a balancing resistor and a signal control switch connected in series, used to simulate the cell balancing strategy of an actual battery pack. The initial SOC value of the battery is set to an adjustable parameter, including different states such as 90%, 50%, 20%, and 10%, used to study the changes in ripple characteristics under different SOCs.

[0041] Based on the second impedance data of the high-voltage wiring harness, a high-voltage wiring harness simulation subsystem 202 is constructed to simulate the distributed parameter characteristics of the high-voltage wiring harness. The high-voltage wiring harness simulation subsystem 202 simulates the transmission path between the battery pack output terminal and the motor controller via the high-voltage DC bus (i.e., the transmission path between the battery pack simulation subsystem 201 and the electrical control simulation subsystem 203). Its model must include distributed parameters, i.e., the specific electrical characteristics represented by the second impedance data, specifically the resistance per unit length and the parasitic inductance ESL (Equivalent Series Inductance). Based on the actual wire gauge and length, the resistance value is set to a few milliohms and the inductance value to a few microhenries to accurately reflect the parasitic effect of the high-voltage wiring harness on the current ripple transmission process.

[0042] Based on the third impedance data of the motor controller, an electrical control simulation subsystem 203 is constructed to simulate the on / off switching of the switching devices in the motor controller. The core of the electrical control simulation subsystem 203 is a three-phase two-level voltage-type inverter bridge, preferably using IGBTs (Insulated-Gate Bipolar Transistors) as the switching devices. An LC (Inductor-Capacitor) filter, including a filter inductor L, is connected on the DC bus side. f and filter capacitor C f The filter parameters are key factors affecting ripple (such as L). f For tens of microhenries, such as C f The dead time of the inverter bridge (ranging from hundreds to thousands of microfarads) is used as an adjustable variable in subsequent optimization analysis. The dead time of the inverter bridge is also set as an adjustable parameter, typically adjusted within the range of 1-3 microseconds, to study its impact on voltage distortion and ripple.

[0043] Based on the fourth impedance data of the motor, a motor simulation subsystem 204 is constructed to simulate motor operation. The motor simulation subsystem 204 uses a dq-axis mathematical model based on the flux linkage equation to construct a PMSM (Permanent Magnet Synchronous Motor). Its rated parameters, including the number of pole pairs, stator type, permanent magnet flux linkage, and d-axis inductance L, are input. d and q-axis inductance L q These are used to accurately simulate the electrical response characteristics of a motor during operation.

[0044] Based on the fourth impedance data of the motor, a control simulation subsystem 205 is constructed to generate drive commands, which are used to control switching devices. The control simulation subsystem 205 integrates the FOC (Field-Oriented Control) strategy and the SVPWM (Space Vector Pulse Width Modulation) algorithm. It acquires the three-phase current output from the motor simulation subsystem 204, first multiplexing the signals through a Mux (Multiplexer) module to integrate multiple independent current signals into a unified signal group, and then transmitting it to the Clarke transformation module to provide standardized input data for the subsequent Park transformation. Simultaneously, the electromagnetic torque output from the motor simulation subsystem 204 can be converted into mechanical power output through the Pn (Power Conversion) module and transmitted to the Clarke transformation module to analyze the energy transfer characteristics of the motor during operation. That is, after processing the output of the motor simulation subsystem 204, it can be converted into current I in the dq-axis rotating coordinate system through Clarke and Park transformations. d and I q After comparing the measured value with the given value, the error is converted into V by the PI controller 2051. d and V q The voltage command, processed by the Anti_Park module 2052, is input to the SVPWM algorithm module 2053. The SVPWM algorithm calculates the duty cycle of the three-phase PWM (Pulse Width Modulation) wave based on the processed voltage command, generating the PWM signal to drive the IGBT on / off. The switching frequency of the SVPWM is set as a key variable, including different values ​​such as 5kHz, 10kHz, and 12kHz, to analyze its impact on ripple noise.

[0045] Based on the battery pack simulation subsystem 201 and the high-voltage wiring harness simulation subsystem 202, a ripple signal analysis subsystem 206 is constructed to extract and analyze ripple signals. The ripple signal analysis subsystem 206 integrates voltage and current sensor modules at key nodes, including the battery pack output, DC bus, and inverter bridge input. The core of the signal analysis is FFT (Fast Fourier Transform) analysis. After the simulation reaches a steady state, FFT analysis is performed on the acquired time-domain ripple signal to obtain its spectrum. The main frequency components and their amplitudes of the ripple are accurately identified through the spectrum. Simultaneously, indicators such as THD (Total Harmonic Distortion) are calculated to quantify the degree of waveform distortion.

[0046] By connecting the battery pack simulation subsystem 201, high-voltage wiring harness simulation subsystem 202, electrical control simulation subsystem 203, motor simulation subsystem 204, control simulation subsystem 205, and ripple signal analysis subsystem 206, a complete electrical ripple simulation platform is formed. The subsystems are interconnected via electrical and control signals, forming a closed-loop motor drive and ripple analysis simulation system (electrical ripple simulation platform), capable of accurately simulating the ripple current generated by high-voltage electrical components during operation.

[0047] Reference Figure 3 This is a schematic diagram of an impedance data extraction system provided in an embodiment of this application. The impedance data extraction system can obtain the accurate impedance parameters of each high-voltage electrical component required to construct an electrical ripple simulation platform.

[0048] Specifically, the circuit topology of the high-voltage electrical system is first analyzed, focusing on the RLC characteristics of key high-voltage electrical components such as the power battery pack, motor, high-voltage cables, air conditioning system, PTC (Positive Temperature Coefficient) heating system, and generator system. Based on test data and Thevenin's theorem, the impedance model of the DC bus connected to the power supply section through Conn1 and Conn2 is equivalent to the internal resistance and output inductance. Then, the internal topology of each high-voltage electrical component is decomposed, and the corresponding impedance data is extracted.

[0049] The battery pack section obtains its terminal voltage and current response data under different SOC states through battery pulse testing. Based on the second-order RC equivalent circuit model, parameter fitting is performed to obtain the ohmic internal resistance, polarization resistance, and polarization capacitance of the battery pack, which are used as the first impedance data.

[0050] The impedance of high-voltage cables is equivalent to internal resistance and parasitic inductance. The ESL and ESR parameters are extracted by frequency sweep testing with an impedance analyzer or simulation with Ansys Q3D and used as the second impedance data.

[0051] like Figure 3 As shown, the motor controller mainly includes a three-phase two-level IGBT inverter bridge composed of six switching transistors S1-S6, and a PWM pulse signal generator. Based on this topology, the motor controller impedance is decomposed into the equivalent impedance of components such as the DC bus side filter circuit, bus capacitor, and IGBT power electronic devices, and the third impedance data is extracted.

[0052] like Figure 3 As shown, the motor part is equivalent to a series combination of the motor's equivalent internal resistance and inductance. It is further decomposed into the impedances of components such as the stator winding impedance, rotor impedance, and leakage resistance. Based on the dq-axis mathematical model, parameters such as stator resistance, d-axis inductance Ld, q-axis inductance Lq, and permanent magnet flux linkage are extracted as the fourth impedance data.

[0053] In addition, the impedance of the generator system is decomposed into the impedances of components such as filter circuit, bus capacitor, ISG power electronic device, diode, stator winding resistance, rotor impedance, and leakage resistance, and the corresponding impedance parameters are extracted. The impedances of auxiliary high-voltage components such as air conditioning high-voltage system and PTC high-voltage system are equivalent to the RLC parameter model of series and parallel connection, and the corresponding impedance parameters are extracted through component testing or simulation.

[0054] Subsequently, using the Simulink platform, equivalent impedance modeling was performed on high-voltage components such as the electric drive system, generator system, power battery pack, PTC, and air conditioning system. Finally, by comparing impedance test data and simulation data, the virtual model was corrected and improved to ensure that it was consistent with the test results and remained within a predictable and reasonable range.

[0055] In one embodiment of this application, the step of constructing a structural acoustic simulation platform based on the structural data to simulate carrier noise generated by the high-voltage electrical component under the action of the ripple current includes: The vibration characteristics and sound transmission characteristics of the high-voltage electrical component are simulated based on the structural data to obtain the vibration data and sound transmission data of the high-voltage electrical component under different excitations. The structural acoustic simulation platform is constructed based on the vibration data and sound transmission data of the high-voltage electrical components under different excitations.

[0056] Reference Figure 4 This is a structural schematic diagram of a structural acoustic simulation platform provided in this application embodiment, specifically used for analyzing the vibration characteristics and sound transmission characteristics of high-voltage electrical components, so as to realize the complete prediction path from ripple current to carrier noise.

[0057] As the direct source of electromagnetic excitation, the vibration characteristics of the stator, rotor, and other components of the motor determine how electromagnetic force is converted into mechanical vibration. The battery pack, as a large and modally diverse structural component in a high-voltage electrical system, is also prone to resonance and noise radiation under ripple current. In contrast, components such as high-voltage wiring harnesses and motor controllers contribute relatively little to structural vibration and sound radiation. Therefore, this application focuses on constructing a structural acoustic simulation platform for the motor and battery pack to reduce modeling complexity while ensuring simulation accuracy. Specifically, the main sources of carrier noise are the electromagnetic force excitation generated during motor operation and the vibration response of the battery pack structure under ripple current.

[0058] Specifically, based on the structural data of the battery pack and the motor, a mechanical model system of the motor and the battery pack is established in Ansys Workbench. The corresponding structural data includes geometric dimensions, modal parameters, stator and rotor outer diameters, material density, elastic modulus, electrical conductivity, magnetic permeability, etc. These parameters are the basis for describing the mechanical dynamics and electromagnetic properties of the components.

[0059] like Figure 4 As shown, the structural acoustic simulation platform connects to an external system via interfaces 401 and 402, receiving data input from the electrical ripple simulation platform. The electrical ripple simulation platform internally includes current measurement modules 404, 405, 406, and 407. Current measurement module 404 is connected in series to the bus side to acquire the bus current Ibus; current measurement module 405 is connected in series to the load side 4011 to acquire the load current Iload; voltage measurement module 407 is connected in parallel across the high-voltage harness impedance and filtering module 408 to acquire the voltage Vcap across the capacitor; and current measurement module 406 is connected in series to a branch of the high-voltage harness impedance and filtering module 408 to acquire the current Icap flowing through the capacitor. The high-voltage harness impedance and filtering module 408 is used to simulate the distributed parameter characteristics of the high-voltage harness and its filtering effect on ripple current. The platform internally includes high-pass filters 409 and 4010, which filter the input bus current Ibus and load current Iload, respectively, to extract high-frequency ripple components. Meanwhile, the platform monitors key electrical parameters such as the voltage Vcap across the DC bus capacitor, the current Icap flowing through the capacitor, and the load current Iload. These parameters are output through interface 403 for subsequent vibration response analysis and acoustic radiation analysis.

[0060] Based on the above structural data, the vibration and sound transmission characteristics of the battery pack and motor were analyzed. Vibration characteristic analysis primarily involved obtaining the natural frequencies and mode shapes of the components through modal analysis to determine the frequencies at which the structure is prone to resonance. Sound transmission characteristic analysis investigated the conversion relationship between surface vibration and radiated sound pressure, providing a foundation for subsequent sound radiation calculations. Through these analyses, vibration and sound transmission data for the battery pack and motor under different frequency excitations were obtained.

[0061] Based on vibration and sound transmission data, a structural acoustic simulation platform integrating a mechanical structure model of the motor and battery pack with an acoustic analysis model was constructed. This platform was configured to receive force excitation converted from ripple current spectrum data output from an electrical ripple simulation platform. During co-simulation, [the platform will be used]... Figure 4 The ripple current spectrum data obtained from the interface shown is converted into electromagnetic force excitation and applied to the mechanical structure model. Harmonic response analysis and acoustic radiation analysis are performed in sequence to finally obtain the sound pressure cloud map and noise spectrum of the carrier noise.

[0062] This application embodiment establishes a complete prediction path from ripple current to carrier noise through a structural acoustic simulation platform, realizing coupled simulation of the electrical domain and structural acoustic domain, laying the foundation for subsequent carrier noise analysis and optimization.

[0063] In one embodiment of this application, the step of jointly simulating the electrical ripple simulation platform and the structural acoustic simulation platform based on the operating data to obtain sensitive parameters affecting the carrier noise includes: The ripple current is determined based on the operating data and the electrical ripple simulation platform. Sensitive parameters are determined based on ripple current and the structural acoustic simulation platform.

[0064] In this embodiment, the operating data includes, but is not limited to, the initial speed of the motor and the load torque. The operating data is input into the electrical ripple simulation platform to drive the platform to run. After the system runs stably, the current time-domain data is recorded at the connection points between different high-voltage electrical components. FFT analysis is performed on these current time-domain data to obtain the current spectrum data. The main harmonic frequencies and amplitudes are extracted from the spectrum as ripple current.

[0065] Subsequently, the extracted ripple current is input into the structural acoustic simulation platform to obtain vibration response data and noise response data of the high-voltage electrical components under different ripple currents. Based on the noise response data, sensitive parameters affecting carrier noise are identified.

[0066] This application embodiment establishes a complete prediction path from current ripple to carrier noise by coupling electrical ripple simulation with structural acoustic simulation, providing a foundation for subsequent sensitive parameter identification and noise optimization.

[0067] In one embodiment of this application, determining the ripple current based on the operating data and the electrical ripple simulation platform includes: The running data is input into the electrical ripple simulation platform, and the platform is driven to run to obtain the current time-domain data of the high-voltage electrical component at the node; the node is the connection point between different high-voltage electrical components. The current time-domain data is transformed by frequency domain to obtain current spectrum data; Extract the ripple current from the current spectrum data.

[0068] In this embodiment, the initial speed of the motor, load torque and other operating data are input into the electrical ripple simulation platform to drive the platform to run. After the simulation starts, the system is allowed to run stably (usually entering steady state after 0.5 seconds). Voltage and current time domain data are recorded at the connection points between different high-voltage electrical components such as the battery pack, motor load, and DC bus. The duration should be long enough (more than 1 second) to cover multiple fundamental frequency cycles to ensure the accuracy of subsequent frequency domain analysis.

[0069] A Fast Fourier Transform (FFT) is performed on the current time-domain data to obtain the current spectrum data. The main frequency components of the ripple, such as the switching frequency and its harmonics, can be accurately identified from this current spectrum data. Based on this current spectrum data, the ripple current can be extracted, including recording the main harmonic frequencies and amplitudes, and calculating indicators such as the Total Harmonic Distortion (THD) to quantify the degree of waveform distortion and provide input for subsequent noise analysis.

[0070] The embodiments of this application provide accurate excitation input for subsequent structural acoustic simulation by precisely extracting the spectral characteristics of the ripple current, thus ensuring the accuracy and reliability of the co-simulation.

[0071] In one embodiment of this application, determining the sensitive parameters based on the ripple current and the structural acoustic simulation platform includes: The ripple current is converted into ripple excitation and input into the structural acoustic simulation platform to obtain the vibration response data and noise response data of the high-voltage electrical component under different ripple excitations. By changing the adjustable parameters in the electrical ripple simulation platform and repeating the co-simulation process, vibration response data and noise response data under different parameter combinations can be obtained. The vibration response data and noise response data under different parameter combinations were compared to obtain the comparison results; The sensitive parameter is determined from multiple parameter combinations based on the comparison results.

[0072] In this embodiment, the ripple current is converted into ripple excitation and input into a structural acoustic simulation platform. By applying this ripple excitation to the structural model, harmonic response analysis and acoustic radiation analysis are performed to obtain vibration response data and noise response data of the high-voltage electrical components under different ripple excitations. The vibration response data includes the distribution of vibration acceleration on the structural surface, reflecting the dynamic response characteristics of the structure under ripple excitation; the noise response data includes radiated sound pressure levels, reflecting the sound field distribution characteristics excited by structural vibration. Vibration response data is the physical source of noise, while noise response data is the result of vibration acting on the surrounding medium; together, they describe the complete physical process from excitation to sound radiation. During the simulation, vibration response data and noise response data can be output simultaneously, and the sound pressure level curve corresponding to the noise response data can be viewed through the post-processing module. The sound pressure level values ​​at the main frequency components are recorded for subsequent sensitive parameter identification and noise optimization analysis.

[0073] By employing the controlled variable method, the adjustable parameters in the electrical ripple simulation platform are changed sequentially, and the joint simulation process between the electrical ripple simulation platform and the structural acoustics simulation platform is repeated. This allows for the acquisition of vibration response and noise response data under different parameter combinations. The adjustable parameters include the switching frequency (e.g., switching between 5kHz, 10kHz, and 12kHz), battery SOC (e.g., setting different initial states such as 20%, 50%, and 90%), and filter hardware parameters (adjusting the inductance value L of the LC filter). f and capacitance value C f Key parameters include dead time (such as setting different values ​​like 1μs, 2μs, 3μs, etc.).

[0074] By comparing vibration and noise response data under different parameter combinations, the most sensitive parameters affecting carrier noise can be identified. Specifically, by comparing ripple spectrum characteristics, THD values, and noise sound pressure level curves under different parameter combinations, the impact of parameter changes on carrier noise is analyzed, yielding comparative results to characterize the sensitivity of each parameter. Based on these results, the most significant sensitive factors affecting ripple and noise can be identified from multiple parameter combinations, such as switching frequency strategies, dead-zone compensation algorithms, filter specifications, and battery pack structural stiffness, providing a basis for subsequent optimization.

[0075] The embodiments of this application, through parametric simulation and the control variable method, can systematically identify sensitive parameters affecting carrier noise, providing a quantitative basis for the forward development of high-voltage electrical systems and avoiding the inefficient mode of relying on experience and repeated trial and error in traditional development.

[0076] In one embodiment of this application, adjusting the high-voltage electrical system according to the sensitive parameter to optimize the carrier noise includes: The software control parameters and / or hardware design parameters of the high-voltage electrical components are adjusted according to the sensitive parameters to optimize the carrier noise.

[0077] In this embodiment of the application, after identifying the sensitive parameter that has the most significant impact on carrier noise, the software control parameters and hardware design parameters of the high-voltage electrical components can be adjusted based on the sensitive parameter to optimize the carrier noise of the high-voltage electrical system.

[0078] Specifically, based on the identified sensitive parameters, the software control parameters in the software strategy can be adjusted in the early stages of the project, such as the switching frequency strategy and dead-zone compensation algorithm. The hardware design parameters in the hardware design can also be adjusted synchronously, such as setting clear design goals for LC filter specifications and battery pack structural stiffness.

[0079] This application embodiment achieves positive optimization of carrier noise by adjusting software control parameters and hardware design parameters, avoiding a large amount of testing and debugging work in the later stage, thereby shortening the test cycle and reducing development costs.

[0080] Reference Figure 5 This is a schematic diagram of the joint simulation process of an electrical ripple simulation platform and a structural acoustic simulation platform provided in an embodiment of this application, specifically including the following steps: Step 501: Build an electrical ripple simulation platform in Simulink; Step 502: Extract excitation based on the electrical ripple simulation platform; Based on the established electrical ripple simulation platform, different battery pack SOC states, electronic control switching frequencies, and operating parameters are set. The simulation is run to obtain time-domain data of ripple current of high-voltage electrical components under different conditions. By performing FFT transformation on the time-domain data, the ripple current spectrum data, including the main harmonic frequencies and amplitudes, is extracted and used as the excitation input for subsequent structural acoustic simulation.

[0081] Step 503: Import the electrical ripple simulation platform into Ansys Twin Builder and generate a reduced-order model or an FMI (Functional Mock-up Interface) co-simulation interface; Import the Simulink circuit model (.slx or .mdl format) built in step 501 into the Ansys TwinBuilder platform. In Twin Builder, perform reduced-order modeling of the electrical model to generate reduced-order models (ROM, Reduced Order Models) or FMI co-simulation interface. Alternatively, the ripple spectrum data can be exported as a CSV (Comma-Separated Values) load table format for subsequent coupling with the structural acoustics simulation platform.

[0082] Step 504: Build a structural acoustics simulation platform in Ansys Workbench; Import the geometric models of high-voltage electrical components such as motors and battery packs to establish a mechanical structural model, including structural components such as the housing, stator, rotor, and battery modules. Simultaneously, establish an acoustic analysis model, setting acoustic boundary conditions and medium properties to prepare for subsequent harmonic response and acoustic radiation analyses.

[0083] Step 505: Perform harmonic response analysis and acoustic radiation analysis; The excitation data generated in step 502 is transferred to the structural model in Workbench via the FMI co-simulation interface, or the CSV load table is loaded as boundary conditions. Harmonic response analysis and acoustic radiation analysis are then performed sequentially in Workbench to achieve co-simulation solution. Specifically, the harmonic response analysis calculates the vibration response of the structure under electromagnetic force excitation, obtaining the vibration acceleration distribution on the structural surface; the acoustic radiation analysis, based on the vibration response results, calculates the sound field radiated by the structural vibration to the surrounding medium, obtaining the sound pressure contour map and noise spectrum.

[0084] Step 506: Compare and correct the simulation results with the experimental data.

[0085] The ripple current curve, carrier noise sound pressure cloud map, and noise spectrum obtained in step 505 are compared with the test results of NVH professional equipment. Based on the comparison deviation, return to step 503 to correct the model parameters in the electrical ripple simulation platform or the structural model in the structural acoustics simulation platform to ensure that the simulation results are consistent with the test results and improve the prediction accuracy of the model.

[0086] Simulink allows you to view ripple current curves under different input conditions and analyze the impact of load changes, switching frequency, DC-Link value, and filter circuit parameters on ripple characteristics. The Acoustic module in Workbench allows you to view carrier noise contour plots and order plots under different operating conditions, identify major noise sources and frequency components, and provide a basis for subsequent carrier noise optimization.

[0087] It should be noted that, for the sake of simplicity, the method embodiments are all described as a series of actions. However, those skilled in the art should understand that the embodiments of this application are not limited to the described order of actions, because according to the embodiments of this application, some steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also understand that the embodiments described in the specification are all preferred embodiments, and the actions involved are not necessarily required by the embodiments of this application.

[0088] This application also provides a storage medium that stores computer instructions. When the computer executes the computer instructions, it is used to perform various processes of the above-described carrier noise optimization method embodiment for high-voltage electrical systems and can achieve the same technical effect. To avoid repetition, it will not be described again here.

[0089] The processor is the processor in the electronic device described in the above embodiments. The readable storage medium includes computer-readable storage media, such as computer read-only memory (ROM), random access memory (RAM), magnetic disk, or optical disk.

[0090] This application also provides an electronic device, including a processor 6010, a memory 609, and a program or instructions stored in the memory 609 and executable on the processor 6010. When the program or instructions are executed by the processor 6010, they implement the various processes of the above-described carrier noise optimization method embodiment for high-voltage electrical systems and achieve the same technical effect. To avoid repetition, they will not be described again here.

[0091] It should be noted that the electronic devices in the embodiments of this application include the mobile electronic devices and non-mobile electronic devices described above.

[0092] Figure 6 A schematic diagram of the hardware structure of an electronic device to implement an embodiment of this application.

[0093] The electronic device 600 includes, but is not limited to, components such as: radio frequency unit 601, network module 602, audio output unit 603, input unit 604, sensor 605, display unit 606, user input unit 607, interface unit 608, memory 609, and processor 6010.

[0094] Those skilled in the art will understand that the electronic device 600 may also include a power supply (such as a battery) for supplying power to various components. The power supply may be logically connected to the processor 6010 through a power management system, thereby enabling functions such as managing charging, discharging, and power consumption through the power management system. Figure 6 The electronic device structure shown does not constitute a limitation on the electronic device. The electronic device may include more or fewer components than shown, or combine certain components, or have different component arrangements, which will not be elaborated here.

[0095] This application also provides a computer program product, including a computer program / instruction. When the computer program / instruction is executed by a processor, it implements the various processes of the above-described carrier noise optimization method embodiment for high-voltage electrical systems and achieves the same technical effect. To avoid repetition, it will not be described again here.

[0096] It should be noted that, in this document, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes that element. Furthermore, it should be noted that the scope of the methods and apparatuses in the embodiments of this application is not limited to performing functions in the order shown or discussed, but may also include performing functions substantially simultaneously or in the reverse order, depending on the functions involved. For example, the described methods may be performed in a different order than described, and various steps may be added, omitted, or combined. Additionally, features described with reference to certain examples may be combined in other examples.

[0097] Through the above description of the embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus necessary general-purpose hardware platforms. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) and includes several instructions to cause a terminal (which may be a mobile phone, computer, server, air conditioner, or network device, etc.) to execute the methods described in the various embodiments of this application.

[0098] The embodiments of this application have been described above with reference to the accompanying drawings. However, this application is not limited to the specific embodiments described above. The specific embodiments described above are merely illustrative and not restrictive. Those skilled in the art can make many other forms under the guidance of this application without departing from the spirit and scope of the claims, and all of these forms are within the protection scope of this application.

Claims

1. A method for optimizing carrier noise in a high-voltage electrical system, characterized in that, include: Obtain impedance data, structural data, and operational data of the high-voltage electrical components in the high-voltage electrical system; An electrical ripple simulation platform was built based on the impedance data to simulate the ripple current generated by the high-voltage electrical components during operation. Based on the structural data, a structural acoustic simulation platform is built to simulate the carrier noise generated by the high-voltage electrical components under the action of the ripple current. Based on the operational data, the electrical ripple simulation platform and the structural acoustic simulation platform are jointly simulated to obtain the sensitive parameters that affect the carrier noise; The high-voltage electrical system is adjusted according to the sensitive parameters to optimize the carrier noise.

2. The method according to claim 1, characterized in that, The high-voltage electrical components include a battery pack, a high-voltage wiring harness, a motor controller, and a motor. The electrical ripple simulation platform, built based on the impedance data to simulate the ripple current generated by the high-voltage electrical components during operation, includes: Based on the first impedance data of the battery pack, a battery pack simulation subsystem is constructed to simulate the output characteristics of the battery pack under different states of charge. Based on the second impedance data of the high-voltage line harness, a high-voltage line harness simulation subsystem is constructed for simulating the distributed parameter characteristics of the high-voltage line harness. Based on the third impedance data of the motor controller, an electrical control simulation subsystem is constructed to simulate the on / off state of the switching devices in the motor controller. Based on the fourth impedance data of the motor, a motor simulation subsystem is constructed for simulating the operation of the motor; Based on the fourth impedance data of the motor, a control simulation subsystem for generating drive commands is constructed, which are used to control the switching device; Based on the battery pack simulation subsystem and the high-voltage wiring harness simulation subsystem, a ripple signal analysis subsystem is constructed for extracting and analyzing the ripple signal. The battery pack simulation subsystem, high-voltage wiring harness simulation subsystem, electrical control simulation subsystem, motor simulation subsystem, control simulation subsystem, and ripple signal analysis subsystem are connected to form the electrical ripple simulation platform.

3. The method according to claim 1, characterized in that, The structural acoustic simulation platform built based on the structural data for simulating carrier noise generated by the high-voltage electrical components under the action of the ripple current includes: The vibration characteristics and sound transmission characteristics of the high-voltage electrical component are simulated based on the structural data to obtain the vibration data and sound transmission data of the high-voltage electrical component under different excitations. The structural acoustic simulation platform is constructed based on the vibration data and sound transmission data of the high-voltage electrical components under different excitations.

4. The method according to claim 1, characterized in that, The method involves jointly simulating the electrical ripple simulation platform and the structural acoustic simulation platform based on the operational data to obtain sensitive parameters affecting the carrier noise, including: The ripple current is determined based on the operating data and the electrical ripple simulation platform. Sensitive parameters are determined based on ripple current and the structural acoustic simulation platform.

5. The method according to claim 4, characterized in that, The step of determining the ripple current based on the operating data and the electrical ripple simulation platform includes: The running data is input into the electrical ripple simulation platform, and the platform is driven to run to obtain the current time-domain data of the high-voltage electrical component at the node; the node is the connection point between different high-voltage electrical components. The current time-domain data is transformed by frequency domain to obtain current spectrum data; Extract the ripple current from the current spectrum data.

6. The method according to claim 4, characterized in that, The determination of sensitive parameters based on ripple current and the structural acoustic simulation platform includes: The ripple current is converted into ripple excitation and input into the structural acoustic simulation platform to obtain the vibration response data and noise response data of the high-voltage electrical component under different ripple excitations. By changing the adjustable parameters in the electrical ripple simulation platform and repeating the co-simulation process, vibration response data and noise response data under different parameter combinations can be obtained. The vibration response data and noise response data under different parameter combinations were compared to obtain the comparison results; The sensitive parameter is determined from multiple parameter combinations based on the comparison results.

7. The method according to claim 1, characterized in that, The step of adjusting the high-voltage electrical system according to the sensitive parameters to optimize the carrier noise includes: The software control parameters and / or hardware design parameters of the high-voltage electrical components are adjusted according to the sensitive parameters to optimize the carrier noise.

8. A storage medium, characterized in that, The storage medium stores computer instructions, which, when executed by the computer, are used to perform a carrier noise optimization method for a high-voltage electrical system as described in any one of claims 1-7.

9. An electronic device, characterized in that, Includes at least one processor; and, A memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor to enable the at least one processor to perform a carrier noise optimization method for a high-voltage electrical system as described in any one of claims 1-7.

10. A computer program product comprising a computer program / instructions, characterized in that, When the computer program / instruction is executed by the processor, it implements a carrier noise optimization method for a high-voltage electrical system as described in any one of claims 1-7.

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