阅读说明：本技术 一种自动化emc滤波器设计方法 (Automatic EMC filter design method ) 是由 夏雨昕 沈捷 于 2021-09-15 设计创作，主要内容包括：本发明提供了一种自动化EMC滤波器设计方法,包括以下步骤：搭建功率器件数据库,以存储功率器件的开关特性参数；搭建系统模型库,以存储EMC滤波器的待分析系统模型；搭建滤波组件模型库,以存储EMC滤波器的滤波器参数；基于开关特性参数、待分析系统模型、滤波器参数计算模拟滤波器的频谱结果；将模拟滤波器的频谱结果与一EMC标准库比较,当频谱结果满足EMC标准库的设计标准时,确定EMC滤波器的参数设计。采用上述技术方案后,有助于避免滤波器结构的过设计,同时可大大加速研发的效率,节省人力和测试的资源。(The invention provides an automatic EMC filter design method, which comprises the following steps: building a power device database to store the switching characteristic parameters of the power device; building a system model library to store a system model to be analyzed of the EMC filter; building a filter assembly model base to store filter parameters of the EMC filter; calculating a frequency spectrum result of the analog filter based on the switch characteristic parameters, the system model to be analyzed and the filter parameters; and comparing the frequency spectrum result of the analog filter with an EMC standard library, and determining the parameter design of the EMC filter when the frequency spectrum result meets the design standard of the EMC standard library. After the technical scheme is adopted, the over-design of the filter structure is avoided, the research and development efficiency can be greatly accelerated, and the manpower and the testing resources are saved.)

1. An automated EMC filter design method, comprising the steps of:

building a power device database to store the switching characteristic parameters of the power device;

building a system model library to store a system model to be analyzed of the EMC filter;

building a filter assembly model base to store filter parameters of the EMC filter;

calculating an EMC frequency spectrum result of the simulation system based on the switch characteristic parameters, the model of the system to be analyzed and the filter parameters; and comparing the frequency spectrum result of the analog filter in the system with an EMC standard library, and determining the parameter design of the EMC filter when the frequency spectrum result meets the design standard of the EMC standard library.

2. An automated EMC filter design method according to claim 1, wherein the step of building a filter component model library to store filter parameters of the EMC filter comprises:

collecting data of a filter topology base and an LC model base to build a filter assembly model base;

comparing the frequency spectrum result of the analog filter in the system with an EMC standard library, and when the frequency spectrum result meets the design standard of the EMC standard library, determining the parameter design of the EMC filter comprises:

and when the frequency spectrum result does not meet the design standard of the EMC standard library, modifying the filter parameters, and comparing the frequency spectrum result of the modified simulator with the EMC standard library until the frequency spectrum result of the modified simulator meets the design standard of the EMC standard library.

3. An automated EMC filter design method according to claim 1, characterized in that the automated EMC filter design method further comprises the steps of:

extracting LC parameters of the analog filter meeting the design standard of the EMC standard library;

designing an EMC filter based on the LC parameters to form a pending filter, and comparing the LC type selection configuration and the structure size of the pending filter with a design model;

when the LC type selection configuration and the structure size of the filter to be determined meet configuration parameters of a design model, the EMC filter is designed;

and when the LC model selection configuration and the structure size of the filter to be determined do not meet the configuration parameters of the design model, correcting the LC model selection configuration and the structure size until the configuration parameters of the design model are met.

4. The automated EMC filter design method of claim 3, wherein the design model comprises: a magnetic material database, a capacitor product database and a structure size database.

5. Automated EMC filter design method according to claim 1,

the system model library comprises a time domain model, a frequency domain model, a time domain and frequency domain mixed model, at least one system topology and a modulation method;

the power device database comprises power module dynamic parameters, a behavior model, a physical model and an actual measurement model;

the filtering component model base comprises at least one filter topology and an LC nonlinear model, wherein the LC nonlinear model comprises a physical model and an actual measurement model.

6. The automated EMC filter design method of claim 1, wherein the step of calculating a spectral result of the analog filter based on the switching characteristic parameters, the system model to be analyzed, and the filter parameters comprises:

and calculating the frequency spectrum result of the EMC of the simulation system by combining the working condition to be analyzed, the switching characteristic parameter, the system model to be analyzed and the filter parameter.

Technical Field

The invention relates to the field of vehicle control, in particular to an automatic EMC filter design method.

Background

Currently, a motor controller is a key component of a new energy automobile, and a power semiconductor device (such as an IGBT) is generally adopted to perform Pulse Width Modulation (PWM) control, so as to adjust the output three-phase voltage of the motor controller. The rapid on-off of the power semiconductor device generates high current change rate di/dt and voltage change rate du/dt, can generate undesirable electromagnetic noise, can influence radio receiving equipment inside and outside a vehicle, and can influence other vehicle-mounted high-low voltage components through a high-voltage power line. In addition, the electromagnetic noise generated by the motor driving system can not only cause the equipment of the motor driving system to not meet the requirements of the EMC standard limit, but also cause the whole vehicle to not meet the requirements of the EMC standard limit.

In order to suppress electromagnetic interference caused by the on-off of the power semiconductor device of the motor controller, it is an effective method to install an EMC filter on the high-voltage direct-current power line of the motor controller. The currently commonly used design methods of EMC filters mainly include: engineering test methods, circuit model methods, and the like. However, although the engineering test method is the most adopted method in the current electromagnetic compatibility processing, the engineering test method lacks a filter design theory, and needs to determine the topology and parameters of the filter through repeated multiple rounds of tests, so that the modification period is long, and the cost is high.

Therefore, a new EMC filter design method is needed, which is more accurate than the previous ways of trial and error, experience, etc., and can avoid the waste of time and cost caused by over-design and a large number of tests.

Disclosure of Invention

In order to overcome the technical defects, the invention aims to provide an automatic EMC filter design method, which is beneficial to avoiding over-design of a filter structure, greatly accelerates the research and development efficiency, and saves manpower and test resources.

The invention discloses an automatic EMC filter design method, which comprises the following steps:

building a power device database to store the switching characteristic parameters of the power device;

building a system model library to store a system model to be analyzed of the EMC filter;

building a filter assembly model base to store filter parameters of the EMC filter;

calculating a frequency spectrum result of the EMC of the simulation system based on the switch characteristic parameters, the model of the system to be analyzed and the filter parameters;

comparing the frequency spectrum result of the analog filter in the system with an EMC standard library, and determining the parameter design of the EMC filter when the frequency spectrum result meets the design standard of the EMC standard library.

Preferably, the step of building a filter assembly model library to store filter parameters of the EMC filter comprises:

collecting data of a filter topology base and an LC model base to build a filter assembly model base;

comparing the frequency spectrum result of the analog filter in the system with an EMC standard library, and when the frequency spectrum result meets the design standard of the EMC standard library, determining the parameter design of the EMC filter comprises the following steps:

and when the frequency spectrum result does not meet the design standard of the EMC standard library, modifying the filter parameters, and comparing the frequency spectrum result of the modified simulator with the EMC standard library until the frequency spectrum result of the modified simulator meets the design standard of the EMC standard library.

Preferably, the automated EMC filter design method further comprises the steps of:

extracting LC parameters of the analog filter meeting the design standard of the EMC standard library;

designing an EMC filter based on LC parameters to form a filter to be determined, and comparing LC type selection configuration and structure size of the filter to be determined with a design model;

when the LC type selection configuration and the structure size of the filter to be determined meet configuration parameters of a design model, the EMC filter is designed;

and when the LC model selection configuration and the structure size of the filter to be determined do not meet the configuration parameters of the design model, correcting the LC model selection configuration and the structure size until the configuration parameters of the design model are met.

Preferably, the design model comprises:

a magnetic material database, a capacitor product database and a structure size database.

Preferably, the system model library comprises a time domain model, a frequency domain model, a time domain and frequency domain mixed model, at least one system topology and a modulation method;

the power device database comprises power module dynamic parameters, a behavior model, a physical model and an actual measurement model;

the filtering component model base comprises at least one filter topology and an LC nonlinear model, wherein the LC nonlinear model comprises a physical model and an actual measurement model.

Preferably, the step of calculating the spectrum result of the analog filter based on the switching characteristic parameter, the model of the system to be analyzed, and the filter parameter includes:

and calculating the frequency spectrum result of the EMC of the simulation system by combining the working condition to be analyzed, the switching characteristic parameter, the system model to be analyzed and the filter parameter.

After the technical scheme is adopted, compared with the prior art, the method has the following beneficial effects:

1. the structure and element parameters of the filter are reasonably and quickly adjusted, so that the filter is more matched with the requirement of a motor controller;

2. the design flow of the filter is simplified, and the reduction of the power density and the competitiveness of the product caused by over-design is prevented.

Drawings

Fig. 1 is a flow chart illustrating an automated EMC filter design method according to a preferred embodiment of the present invention.

Detailed Description

The advantages of the invention are further illustrated in the following description of specific embodiments in conjunction with the accompanying drawings.

Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The implementations described in the exemplary embodiments below are not intended to represent all implementations consistent with the present disclosure. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present disclosure, as detailed in the appended claims.

The terminology used in the present disclosure is for the purpose of describing particular embodiments only and is not intended to be limiting of the disclosure. As used in this disclosure and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It should also be understood that the term "and/or" as used herein refers to and encompasses any and all possible combinations of one or more of the associated listed items.

It is to be understood that although the terms first, second, third, etc. may be used herein to describe various information, such information should not be limited to these terms. These terms are only used to distinguish one type of information from another. For example, first information may also be referred to as second information, and similarly, second information may also be referred to as first information, without departing from the scope of the present disclosure. The word "if" as used herein may be interpreted as "at … …" or "when … …" or "in response to a determination", depending on the context.

In the description of the present invention, it is to be understood that the terms "longitudinal", "lateral", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", and the like, indicate orientations or positional relationships based on those shown in the drawings, and are used merely for convenience of description and for simplicity of description, and do not indicate or imply that the referenced devices or elements must have a particular orientation, be constructed in a particular orientation, and be operated, and thus, are not to be construed as limiting the present invention.

In the description of the present invention, unless otherwise specified and limited, it is to be noted that the terms "mounted," "connected," and "connected" are to be interpreted broadly, and may be, for example, a mechanical connection or an electrical connection, a communication between two elements, a direct connection, or an indirect connection via an intermediate medium, and specific meanings of the terms may be understood by those skilled in the art according to specific situations.

In the following description, suffixes such as "module", "component", or "unit" used to denote elements are used only for facilitating the explanation of the present invention, and have no specific meaning in themselves. Thus, "module" and "component" may be used in a mixture.

Referring to fig. 1, a schematic diagram of a design flow of an automated EMC filter according to a preferred embodiment of the present invention is shown, where the EMC filter is usually an important component in a product optimization scheme. The correct EMC filter topology may save time for product certification and optimization of electromagnetic compatibility performance. In addition, the optimized EMC filter can reduce the cost and volume of the product. LC components in the EMC filter are generally required to process and bear considerable reactive current and reactive voltage, namely, the LC components have enough reactive power capacity, and meanwhile, considering that the EMC filter operates under an impedance mismatch state in most cases, the EMC filter needs to be selected by considering the mismatch characteristic of the EMC filter so as to ensure that the EMC filter can obtain enough good filtering characteristic within the range of 0.5-30 MHz, and when the EMC filter inhibits EMI caused by transient noise or high-frequency noise, the control requirement of the used LC components on parasitic parameters is strict.

In this embodiment, when the parameters of the EMC filter need to be determined, the following steps need to be performed:

s100: building a power device database to store the switching characteristic parameters of the power device;

power semiconductor devices, also known as power electronic devices, are simply semiconductor devices that are power handling in EMC filters and have the ability to handle high voltages and high currents. The switching characteristic parameters are switching loss, switching speed, oscillation conditions and the like when the EMC filter works. The establishment of the power device database means that the EMC filter is designed by considering the performance of the power device itself.

S200: building a system model library to store a system model to be analyzed of the EMC filter;

for different manufacturers, the system model used by the manufacturers has no reusability or regularity, that is, each EMC filter may be designed with different directions and dimensions considered by each technician. In the present invention, the system model database preferably includes a time domain model or a frequency domain model, so as to form a system model to be analyzed, which is required for the design of the EMC filter, for analyzing the system architecture of the EMC filter used in the subsequent steps.

S300: building a filter assembly model base to store filter parameters of the EMC filter;

in the filtering component model base, the component types, the connection modes, the collocation modes and the circuit parameters of all the collocation modes of all the filtering components can be stored, so that designers of the EMC filter can know the available design schemes and the advantages and disadvantages of all the design schemes as low as possible, and the EMC filter can be used for storing the filter parameters of the EMC filter.

S400: calculating a frequency spectrum result of the EMC of the simulation system based on the switch characteristic parameters, the model of the system to be analyzed and the filter parameters;

s500: comparing the frequency spectrum result of the analog filter in the system with an EMC standard library, and determining the parameter design of the EMC filter when the frequency spectrum result meets the design standard of the EMC standard library.

From the support parameters given under each database, a spectrum result of the analog filter can be formed and compared with the EMC standard library, it being understood that if the requirements are met, the parametric design of the EMC filter can be determined.

It is understood that with the above configuration, firstly, all designers adopt trial and error method in design because there is no design standard or design manual in the industry for all designers of the EMC filter. In the invention, the directional content is given, namely three dimensions of a power device database, a system model database and a filter component model database are taken as main factors considered in the design of the EMC filter. Secondly, even if the design is directional, it is very difficult for those skilled in the art to design by using what factors as the main weight in a certain direction, so that the designer can add a large number of known and pre-ordered designs into the power device database, the system model library and the filter component model library during design, and reduce trial and error cost and improve design efficiency as much as possible by combining the past design experience.

In a preferred embodiment, the step S300 of building a filter assembly model library to store filter parameters of the EMC filter includes:

s310: collecting data of a filter topology base and an LC model base to build a filter assembly model base;

the filter topology library stores filter topologies as used for class D power amplifiers: (1) FB-C, ferrite beads and capacitors; (2) LC, inductance and capacitance; and (3) "no filter". I.e. a common filter collocation design model. It can also be understood that the LC model is stored in the LC model library and is designed for the collocation of the LC model for the designer to refer to.

Further, comparing the spectrum result of the analog filter in the system with an EMC standard library, and when the spectrum result satisfies the design criteria of the EMC standard library, the step S500 of determining the parameter design of the EMC filter includes:

s510: and when the frequency spectrum result does not meet the design standard of the EMC standard library, modifying the filter parameters, and comparing the frequency spectrum result of the modified simulator with the EMC standard library until the frequency spectrum result of the modified simulator meets the design standard of the EMC standard library.

Through the establishment of the feedback mechanism in step S510, since the motor controllers under various items, various models, and application scenarios have different requirements, the correction of the filter parameters can be added in the design method of the EMC filter, and it is known that the frequency spectrum result of the correction simulator meets the design standard of the EMC filter in a certain motor controller, thereby meeting the basic requirements that the EMC filter can meet the usage.

In a preferred or alternative embodiment, the EMC filter design method further comprises the steps of:

s600: extracting LC parameters of the analog filter meeting the design standard of the EMC standard library;

the analog filter is designed for meeting the EMC filter under the basic requirement, and in order to further optimize the EMC filter, the term of LC parameters of the formed analog filter can be extracted and analyzed.

S700: designing an EMC filter based on LC parameters to form a filter to be determined, and comparing LC type selection configuration and structure size of the filter to be determined with a design model;

and designing the to-be-determined filter formed after the EMC filter is designed based on the LC parameters, and testing and considering from other dimensions, namely comparing the LC type selection configuration and the structure size of the to-be-determined filter with a design model. In the practical application scenario, for the EMC filter, for example, whether the magnetic material, the capacitance signal, and the structure size satisfy the magnetic material database, the capacitance product database, and the structure size database, it can be understood that, for the structure size, even if the electrical requirements are satisfied, the EMC filter whose physical conditions cannot be satisfied is still not applicable.

S800: when the LC type selection configuration and the structure size of the filter to be determined meet configuration parameters of a design model, the EMC filter is designed;

s800': when the LC model selection configuration and the structure size of the undetermined filter do not meet the configuration parameters of the design model, the LC model selection configuration and the structure size are corrected until the configuration parameters of the design model are met

Similarly, a feedback mechanism will also be introduced to modify the adjustment to the LC mode selection configuration of the filter.

In a preferred embodiment, each database is limited to store the following models or parameters, so as to save the data amount of the database and give more targeted and directional details to be considered by designers when designing EMC filters:

the system model library comprises a time domain model, a frequency domain model, a time domain and frequency domain mixed model, at least one system topology and a modulation method; the power device database comprises power module dynamic parameters, a behavior model, a physical model and an actual measurement model; the filtering component model base comprises at least one filter topology and an LC nonlinear model, wherein the LC nonlinear model comprises a physical model and an actual measurement model.

In still another preferred or alternative embodiment, the step S400 of calculating the spectrum result of the analog filter based on the switching characteristic parameter, the system model to be analyzed, and the filter parameter includes:

s410: and calculating the frequency spectrum result of the EMC of the simulation system by combining the working condition to be analyzed, the switching characteristic parameter, the system model to be analyzed and the filter parameter.

It should be noted that the embodiments of the present invention have been described in terms of preferred embodiments, and not by way of limitation, and that those skilled in the art can make modifications and variations of the embodiments described above without departing from the spirit of the invention.