CN115828820A - Impedance fitting method and device of passive device, vehicle and storage medium - Google Patents
Impedance fitting method and device of passive device, vehicle and storage medium Download PDFInfo
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Abstract
The application relates to an impedance fitting method and device of a passive device, a vehicle and a storage medium, wherein the method comprises the following steps: obtaining impedance topology information of at least one passive device of the automobile; determining the number of model basic unit groups of at least one passive device and the initial parameter value of each group based on impedance topology information; and selecting the minimum error parameter of each group according to the preset searching advantages in the preset parameter optimizing range on the basis of the initial parameter value, and obtaining the optimal parameter of which the impedance calculation error meets the preset conditions according to the minimum error parameter of each group so as to estimate the noise coupling path effect of the passive device. The embodiment of the application can predict the noise coupling path effect, so that the problems of high sample piece rectification cost, long rectification period and the like are avoided, the accurate expression of the impedance of a passive device is realized, the over-design of filtering of high-voltage electrical appliance parts is avoided, the experience dependence on engineers is reduced, and the labor cost is reduced.
Description
Technical Field
The application relates to the technical field of electromagnetic compatibility design of new energy automobile parts, in particular to an impedance fitting method and device of a passive device, a vehicle and a storage medium.
Background
The high-power electronic equipment for the new energy automobile can generate strong electromagnetic interference in the working process to influence the normal work of surrounding sensitive equipment, so that the running safety of the automobile is threatened, and from the perspective of electromagnetic compatibility management and design, the conducted interference of the equipment needs to be modeled to realize system noise pre-evaluation. The impedance of the passive device is an important component of conducted interference modeling, wherein a reasonable port equivalent model is selected for describing impedance characteristics by the impedance behavior model, and the impedance behavior model has the characteristics of high precision and strong applicability in a wide frequency range and is very suitable for conducted noise circuit simulation.
The impedance behavior model can be formed by a network formed by mixing RLC (resistance, inductance and capacitance), and after the model topology is determined, a reasonable parameter fitting method is used, and model parameters can be obtained through measured port impedance.
However, in the related art, the parameter extraction method combined with the theoretical calculation formula cannot ensure accurate expression of impedance of passive devices such as the filter common mode choke coil and the capacitor, and the accurate impedance description can be achieved only by manually adjusting a plurality of parameters at the same time, so that the process is complicated and too dependent on experience of engineers, and needs to be improved.
Disclosure of Invention
The application provides an impedance fitting method and device of a passive device, a vehicle and a storage medium, and aims to solve the technical problems that in the related art, the accurate expression of the impedance of the passive device cannot be guaranteed by combining a parameter extraction method of a theoretical calculation formula, and the labor cost is high.
An embodiment of a first aspect of the present application provides an impedance fitting method for a passive device, including the following steps: obtaining impedance topology information of at least one passive device of the automobile; determining the number of model basic unit groups of the at least one passive device and the initial parameter value of each group based on the impedance topology information; and on the basis of the initial parameter value, selecting the minimum error parameter of each group according to a preset advantage searching range in a preset parameter optimizing range, and obtaining the optimal parameter with the impedance calculation error meeting a preset condition according to the minimum error parameter of each group so as to estimate the noise coupling path effect of the passive device.
According to the technical means, the noise coupling path effect can be estimated, so that the problems of high sample piece rectification cost, long rectification period and the like are solved, the accurate expression of the impedance of a passive device is realized, the over-design of filtering of high-voltage electric appliance parts is avoided, the experience dependence on engineers is reduced, and the labor cost is reduced.
Optionally, in an embodiment of the present application, the impedance topology information includes an impedance topology and at least one group of impedance elementary networks, where each group of impedance elementary networks corresponds to one resonance peak to which the impedance characteristic is fitted.
According to the technical means, the error calculation can be realized based on the resonance peak, and the noise coupling path effect of the passive device can be estimated conveniently in the follow-up process.
Optionally, in an embodiment of the present application, the selecting the error minimum parameter of each group according to a preset optimization within a preset parameter optimization range, and obtaining an optimal parameter with an impedance calculation error meeting a preset condition according to the error minimum parameter of each group includes: in a first preset parameter optimizing range, selecting parameters according to a first preset step length, and calculating all combination results of different parameters; bringing each group of parameters in the combination result into a preset formula, and calculating an impedance calculation result under each group of parameters; and acquiring an actual error between the impedance calculation result and the actual measurement result, and performing grouping iterative calculation based on the actual error until an initial optimal parameter of which the error meets a preset condition is obtained.
According to the technical means, parameter selection can be carried out through optimization, impedance calculation results under different parameter combinations are calculated, actual errors between the actual measurement results and the actual measurement results are obtained, and initial optimal parameters with small errors are obtained through multiple iterations.
Optionally, in an embodiment of the application, the selecting the error minimum parameter of each group according to a preset optimization in a preset parameter optimization range, and obtaining an optimal parameter with an impedance calculation error meeting a preset condition according to the error minimum parameter of each group, further includes: based on the initial optimization result, performing parameter selection by a second preset step length in a second preset parameter optimization range to calculate the impedance calculation results of the last two groups of parameters; and calculating a current error according to the impedance calculation results of the last two groups of parameters, calculating the optimized current error variation based on the current error, outputting the initial optimal parameter when the error variation is smaller than a preset threshold, and otherwise, obtaining the final optimal parameter smaller than the preset threshold based on the error variation and the initial optimal parameter.
According to the technical means, the embodiment of the application can adopt a subsection optimization strategy, the number of parameters for optimization in each time is reduced, the calculation time is obviously shortened, and the number and the density of advantages in each part of optimization are ensured, so that the optimization precision meets the requirement.
Optionally, in an embodiment of the present application, a calculation formula of the initial parameter value is:
L 1 ＝|Z|/(2f p1 )，C i ＝1/(2πf pi ) 2 L i ，L i+1 ＝1/(2f bi ) 2 C i ，
wherein Z represents the impedance value of the equivalent circuit, f pi Frequency point representing the ith harmonic peak, f bi Denotes the ith resonance valley, C i Representing the capacitance, L, of the ith RLC impedance basic network i Representing the inductance value of the ith RLC impedance fundamental network.
According to the technical means, the calculation of the RLC basic unit parameters can be realized based on the frequency point and the resonance valley point of the resonance peak.
An embodiment of a second aspect of the present application provides an impedance fitting apparatus for a passive device, including: the acquisition module is used for acquiring impedance topology information of at least one passive device of the automobile; the calculation module is used for determining the number of model basic unit groups of the at least one passive device and the initial parameter value of each group based on the impedance topology information; and the impedance fitting module is used for selecting the minimum error parameter of each group in a preset parameter optimization range based on the initial parameter value, and obtaining the optimal parameter with the impedance calculation error meeting the preset condition according to the minimum error parameter of each group so as to estimate the noise coupling path effect of the passive device.
Optionally, in an embodiment of the present application, the impedance topology information includes an impedance topology and at least one group of impedance elementary networks, where each group of impedance elementary networks corresponds to one resonance peak to which the impedance characteristic is fitted.
Optionally, in an embodiment of the present application, the impedance fitting module includes: the first calculation unit is used for selecting parameters in a first preset step length in a first preset parameter optimization range and calculating all combination results of different parameters; the second calculation unit is used for substituting each group of parameters in the combination result into a preset formula and calculating an impedance calculation result under each group of parameters; and the third calculation unit is used for acquiring an actual error between the impedance calculation result and the actual measurement result, and performing grouping iterative calculation based on the actual error until an initial optimal parameter of which the error meets a preset condition is obtained.
Optionally, in an embodiment of the present application, the impedance fitting module further includes: the fourth calculation unit is used for performing parameter selection within a second preset parameter optimization range by using a second preset step length on the basis of the initial optimization result so as to calculate the impedance calculation results of the last two groups of parameters; and the fifth calculation unit is used for calculating the current error according to the impedance calculation results of the last two groups of parameters, calculating the optimized current error variation based on the current error, outputting the initial optimal parameters when the error variation is smaller than a preset threshold, and otherwise, obtaining the final optimal parameters smaller than the preset threshold based on the error variation and the initial optimal parameters.
Optionally, in an embodiment of the present application, the calculation formula of the initial parameter value is:
L 1 ＝|Z|/(2f p1 )，
C i ＝1/(2πf pi ) 2 L i ，
L i+1 ＝1/(2πf bi ) 2 C i ，
wherein Z represents the impedance value of the equivalent circuit, f pi Frequency point representing the ith harmonic peak, f bi Denotes the ith resonance valley, C i Representing the capacitance, L, of the ith RLC impedance basic network i Representing the inductance value of the ith RLC impedance fundamental network.
An embodiment of a third aspect of the present application provides a vehicle, comprising: a memory, a processor and a computer program stored on the memory and executable on the processor, the processor executing the program to implement the impedance fitting method of the passive device as described in the above embodiments.
A fourth aspect of the present application provides a computer-readable storage medium storing a computer program which, when executed by a processor, implements the impedance fitting method of a passive device as above.
The beneficial effects of the embodiment of the application are as follows:
(1) According to the embodiment of the application, the noise coupling path effect can be estimated, so that the problems of high sample piece rectification cost, long rectification period and the like are solved, the accurate expression of the impedance of the passive device is realized, the experience dependence on engineers is reduced, and the labor cost is reduced;
(2) The embodiment of the application can adopt a part optimizing strategy, reduce the number of parameters for optimizing each time, obviously shorten the calculation time, and ensure the number and the density of advantages during each part optimizing so that the optimizing precision meets the requirement;
(3) According to the embodiment of the application, on the premise of meeting target parameters, multi-dimensional parameters such as material cost, process difficulty and reliability are comprehensively considered, and reliable parameter design is provided for different application environments, so that over-design of filtering of high-voltage electrical appliance parts is avoided.
Additional aspects and advantages of the present application will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the present application.
Drawings
The above and/or additional aspects and advantages of the present application will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings of which:
fig. 1 is a flowchart of an impedance fitting method of a passive device according to an embodiment of the present application;
FIG. 2 is a schematic diagram of a passive device impedance topology for a passive device impedance fitting method according to an embodiment of the present application;
FIG. 3 is a flow chart of an impedance characteristic optimization strategy of a passive device impedance fitting method according to one embodiment of the present application;
FIG. 4 is a flow chart of a method of impedance fitting of a passive device according to one embodiment of the present application;
FIG. 5 is a diagram illustrating the optimization results of a method for impedance fitting of a passive device according to one embodiment of the present application;
fig. 6 is a schematic structural diagram of an impedance fitting apparatus for a passive device according to an embodiment of the present application;
fig. 7 is a schematic structural diagram of a vehicle according to an embodiment of the present application.
10-impedance fitting device of passive device; 100-acquisition module, 200-calculation module, 300-impedance fitting module.
Detailed Description
Reference will now be made in detail to embodiments of the present application, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the drawings are exemplary and intended to be used for explaining the present application and should not be construed as limiting the present application.
An impedance fitting method, an apparatus, a vehicle, and a storage medium of a passive device according to embodiments of the present application are described below with reference to the drawings. In order to solve the technical problems that the precise expression of the impedance of a passive device cannot be guaranteed by combining a parameter extraction method of a theoretical calculation formula and the labor cost is high in the related technology mentioned in the background technology center, the application provides an impedance fitting method of the passive device. Therefore, the technical problems that in the related art, the accurate expression of the impedance of the passive device cannot be guaranteed by combining a parameter extraction method of a theoretical calculation formula, and labor cost is high are solved.
Specifically, fig. 1 is a schematic flowchart of an impedance fitting method of a passive device according to an embodiment of the present disclosure.
As shown in fig. 1, the impedance fitting method of the passive device includes the following steps:
in step S101, impedance topology information of at least one passive device of the vehicle is acquired.
It can be understood that the impedance behavioral model for describing the impedance characteristics may be formed by a network formed by mixing RLC, and after the model topology is determined, the impedance of the port may be measured by using a reasonable parameter fitting method, so as to obtain the model parameters.
Optionally, in an embodiment of the present application, the impedance topology information includes an impedance topology and at least one set of impedance elementary networks, wherein each set of impedance elementary networks corresponds to one resonance peak to which the impedance characteristic is fitted.
As a possible implementation manner, as shown in fig. 2, the impedance topology of the passive device in the embodiment of the present application may be formed by connecting a plurality of impedance basic networks in series, where the impedance basic network may be formed by directly connecting a single resistor R, a capacitor C, and an inductor L in parallel, where a group of impedance basic networks corresponds to one resonance peak of the fitted impedance characteristic, and therefore, the impedance topology information in the embodiment of the present application may include the impedance topology and at least one group of impedance basic networks.
In step S102, based on the impedance topology information, the number of model basic unit groups of at least one passive device and the initial parameter value of each group are determined.
In the actual implementation process, the number of the model basic unit groups of at least one passive device and the initial parameter value of each group can be determined based on the impedance topology information, so that the final optimal parameter value can be obtained through a subsequent parameter optimization method of the impedance topology on the basis of the initial parameter values of the model.
Optionally, in an embodiment of the present application, the calculation formula of the initial parameter value is:
L 1 ＝|Z|/(2πf p1 )，
C i ＝1/(2πf pi ) 2 L i ，
L i+1 ＝1/(2πf bi ) 2 C i ，
wherein Z represents the impedance value of the equivalent circuit, f pi Frequency point representing the ith harmonic peak, f bi Denotes the ith resonance valley, C i Representing the capacitance, L, of the ith RLC impedance basic network i Representing the inductance value of the ith RLC impedance fundamental network.
In an actual implementation process, the embodiment of the present application may determine a model topology and an initial value, and as shown in fig. 2, in an equivalent circuit formed by a parallel structure of a resistor R-an inductor L-a capacitor C, a theoretical expression of a port impedance may be as follows:
wherein Z is the impedance value of the equivalent circuit, N is the number of R-L-C resonant cells, j is the imaginary unit of impedance, ω is the angular frequency, which is equal to ω =2 × pi × f, where f is the signal frequency.
It will be appreciated that a first set of RLC elements may reflect a first resonant peak of impedance characteristics, a second set of elements may affect the characteristics of a second resonant peak, and a first resonant valley is formed by the capacitance of the first set of elements resonating with the inductance of the second set of elements, a second resonant valley is formed by the capacitance of the second set of elements resonating with the inductance of the third set of elements, and so on.
Therefore, in order to accurately describe the impedance characteristics of the inductor, the number of RLC parallel type basic cells may take a value of the resonance valley number plus one.
In the embodiment of the application, the frequency point of the ith resonance peak of the impedance characteristic can be recorded as f pi The peak value of the resonance peak impedance is denoted as R i Initial value, i-th resonance valley point is recorded as f bi 。
According to the embodiment of the application, a plurality of frequency points of a low-frequency linear section of an impedance characteristic curve can be selected at first, and L is calculated according to the following formula 1 ：
L 1 ＝|Z|/(2πf p1 )。
The embodiment of the application can take the calculated average value as L 1 Calculating the initial value and calculating C according to the following formula i And L i+1 ：
C i ＝1/(2πf pi ) 2 L i ，
L i+1 ＝1/(2πf bi ) 2 C i 。
In step S103, based on the initial parameter value, the minimum error parameter of each group is selected within the preset parameter optimization range according to the preset optimization, and the optimal parameter with the impedance calculation error meeting the preset condition is obtained according to the minimum error parameter of each group, so as to estimate the noise coupling path effect of the passive device.
As a possible implementation manner, in the embodiment of the application, a parameter optimization range can be preset, and in the preset parameter optimization range, based on an initial value of a parameter, a minimum error parameter of each group is selected by a preset optimization point, so that an optimal parameter with an impedance calculation error meeting a preset condition is obtained according to the minimum error parameter of each group, and a noise coupling path effect of a passive device is estimated, thereby avoiding the problems of high sample piece rectification cost, long rectification period and the like, realizing accurate expression of impedance of the passive device, reducing experience dependence on engineers, and reducing labor cost.
Optionally, in an embodiment of the present application, selecting the minimum error parameter of each group according to a preset optimization within a preset parameter optimization range, and obtaining an optimal parameter with an impedance calculation error meeting a preset condition according to the minimum error parameter of each group, where the optimal parameter includes: in a first preset parameter optimizing range, selecting parameters according to a first preset step length, and calculating all combination results of different parameters; bringing each group of parameters in the combination result into a preset formula, and calculating an impedance calculation result under each group of parameters; and acquiring an actual error between the impedance calculation result and the actual measurement result, and performing grouping iterative calculation based on the actual error until an optimal initial parameter with an error meeting a preset condition is obtained.
In the actual execution process, as shown in fig. 3, based on the initial values of the parameters of the model, the first preset parameter optimization range and the optimization point of the first group of parameters are input in the first preset parameter optimization range, that is, the set parameter variation range, the first group of RLC parameters are optimized and the parameter with the minimum error is selected, the parameter selection advantage is selected according to the first preset step length, all the combination results of different parameters are calculated, each group of parameters is substituted into the formula to obtain the impedance calculation result under each group of parameters, the calculation result is compared with the actual measurement result in error, the actual error between the impedance calculation result and the actual measurement result is obtained, and then, the grouping and the iteration are performed for multiple times according to the actual error, so that the optimal parameter value with the error meeting the preset condition and the error being smaller is obtained.
It should be noted that the first preset parameter optimizing range and the first preset step length may be set by those skilled in the art according to actual situations, and are not specifically set here.
Optionally, in an embodiment of the present application, selecting the minimum error parameter of each group according to a preset optimization within a preset parameter optimization range, and obtaining an optimal parameter with an impedance calculation error meeting a preset condition according to the minimum error parameter of each group, further includes: based on the initial optimization result, selecting parameters in a second preset parameter optimization range by a second preset step length to calculate the impedance calculation results of the last two groups of parameters; and calculating a current error according to the impedance calculation results of the last two groups of parameters, calculating the optimized current error variation based on the current error, outputting an initial optimal parameter when the error variation is smaller than a preset threshold, and otherwise obtaining a final optimal parameter smaller than the preset threshold based on the error variation and the initial optimal parameter.
Specifically, as shown in fig. 3, in the embodiment of the present application, after the first preset parameter optimization range is independently optimized, based on the obtained initial optimal parameter, the initial optimal parameter is used as the second preset parameter optimization range and the optimization searching advantage, the second preset step length is used to perform parameter selection for the next optimization searching advantage, and the independent optimization is performed, so as to obtain a set of basic parameters closer to the global optimal value, thereby greatly reducing the decision item of the calculation time length, and for the set of basic parameters, the last two sets of parameters describing the high-frequency complex impedance characteristics are subjected to combined optimization with a smaller variation range, that is, the impedances of the last two sets of RLC parameters are calculated, so as to obtain the variation of the two optimization errors, and when the error variation is smaller than the preset threshold, the initial optimal parameter is output, otherwise, based on the error variation and the initial optimal parameter, the final optimal parameter smaller than the preset threshold is obtained, the number of the parameters optimized each time length is reduced, and the number and density of the optimization advantages are ensured in each partial optimization, so that the optimization accuracy meets the requirement.
It should be noted that the second preset parameter optimizing range, the second preset step length and the preset threshold may be set by those skilled in the art according to actual situations, and are not specifically set here.
The working principle of the impedance fitting method of the passive device according to the embodiment of the present application is described in detail with reference to fig. 2 to 5.
As shown in fig. 4, the embodiment of the present application may include the following steps:
step S401: and acquiring impedance topology information of the passive device. As shown in fig. 2, the impedance topology of the passive device according to the embodiment of the present application may be formed by connecting a plurality of impedance basic networks in series, where each impedance basic network may be formed by directly connecting a single resistor R, a capacitor C, and an inductor L in parallel, where a group of impedance basic networks corresponds to one resonance peak of the fitted impedance characteristic, and therefore, the impedance topology information according to the embodiment of the present application may include the impedance topology and at least one group of impedance basic networks.
Step S402: and determining the number of model basic unit groups of the passive device and the initial parameter value of each group. In the embodiment of the application, the model topology and the initial value can be determined, and as shown in fig. 2, in an equivalent circuit formed by a resistor R-inductor L-capacitor C parallel structure, a theoretical expression of the port impedance can be as follows:
wherein Z is the impedance value of the equivalent circuit, N is the number of R-L-C resonant cells, j is the imaginary unit of impedance, ω is the angular frequency, which is equal to ω =2 × pi × f, where f is the signal frequency.
It will be appreciated that a first set of RLC elements may reflect a first resonant peak of impedance characteristics, a second set of elements may affect the characteristics of a second resonant peak, and a first resonant valley is formed by the capacitance of the first set of elements resonating with the inductance of the second set of elements, a second resonant valley is formed by the capacitance of the second set of elements resonating with the inductance of the third set of elements, and so on.
Therefore, in order to accurately describe the impedance characteristics of the inductor, the number of RLC parallel type basic cells may take a value of the resonance valley number plus one.
In the embodiment of the application, the frequency point of the ith resonance peak of the impedance characteristic can be recorded as f pi The peak value of the resonance peak impedance is denoted as R i Initial value, i-th resonance valley point is recorded as f bi 。
According to the embodiment of the application, a plurality of frequency points of a low-frequency linear section of an impedance characteristic curve can be selected at first, and L is calculated according to the following formula 1 ：
L 1 ＝|Z|/(2πf p1 )。
The embodiment of the application can take the calculated average value as L 1 Calculating the initial value and calculating C according to the following formula i And L i+1 ：
C i ＝1/(2πf pi ) 2 L i ，
L i+1 ＝1/(2πf bi ) 2 C i 。
Step S403: and obtaining optimal parameters through an optimization strategy to estimate the noise coupling path effect of the passive device.
In conjunction with fig. 3, the optimization strategy may include the following steps:
s1, according to the impedance measurement result, the initial value [ C ] of the first group of RLC basic units can be calculated by using a formula in the embodiment of the application 1 R 1 L 1 ]Due to the equivalent resistance R i Is equal to the resonance peak point impedance value of the conventional impedance characteristic, which can be regarded as R in the embodiment of the application i Is relatively accurate, and therefore, the first set of primitives participating in the optimization is given by [ C 1 L 1 ]。
The frequency domain data only containing the first harmonic peak can be subjected to optimization fitting, the point density can be higher due to fewer variables, and the advantage searching d can be set to be 200-300. Because the impedance characteristic of the single resonance is simpler, and the initial value has certain accuracy, the embodiment of the present application can meet the requirement by taking a smaller optimization floating range, for example, the optimization floating range can be set to 20%, and a group of parameter values with the minimum error under various combinations can be selected as the model parameters of the first group of RLC basic units.
S2, on the basis of the finished optimizing result, only one group of RLC basic units can be added to conduct optimizing each time. In the embodiment of the application, the initial value [ C ] of the ith group of RLC parameters can be calculated through a formula 1 R 1 L 1 ]And add the set of RLC parameters to the model.
Wherein the variable participating in the optimization is [ C 1 L 1 ]And performing optimization fitting on the frequency domain data containing the first i harmonic peaks by adopting an optimization method, wherein the point acquisition density can be higher because of less variables, and the optimization d can be set to be 200-300.
Since the ith group of RLC units needs to reflect the impedance behavior of the ith-1 resonance valley and the ith resonance peak together with the optimized RLC units, the optimization floating range should be correspondingly increased and can be set to 60% -80%.
The embodiment of the application can select a group of parameter values with the minimum error under various combinations at each time as the model parameters of the ith group of RLC basic units.
S3, the actual measurement result of the impedance can be compared with the simulation result after the optimization of the parts, and due to the accumulation of the optimization error, the optimization results of the last two groups of RLC parameters are not accurate enough, so that certain error still exists in the high-frequency impedance.
The embodiment of the application can fix other RLC parameters and carry out joint optimization on the last two groups of RLC parameters, and the variables comprise [ C ] i-1 R i-1 L i-1 C i R i L i ]The result of independent optimization is set as an initial value, the point-taking density needs to be greatly reduced due to more variables of combined optimization, the advantage-seeking d can be set to be 5-20, and the floating range can be set to be 40% -60%.
For the accuracy of the parameters, the embodiment of the present application may reset the result of each joint optimization to the initial value of the next optimization, perform multiple iterations of optimization until the variation of the error of the last two iterations is smaller than the set value, and complete the optimization process.
As shown in fig. 5, which shows typical impedance characteristics of an inductive device, there are two resonance peaks, and a model can be formed by three groups of basic impedance units, and the error of the result of each group of parameters individually optimized and the result after the final combined optimization according to the above steps is gradually reduced.
According to the impedance fitting method of the passive device, the number of model basic unit groups of at least one passive device and the initial value of each group of parameters can be determined based on the impedance topological information of the passive device, the minimum error parameter of each group is selected according to the preset advantages in the preset parameter optimization range, the optimal parameter of which the impedance calculation error meets the preset conditions is obtained, and the noise coupling path effect of the passive device is estimated, so that the problems of high sample piece rectification cost, long rectification period and the like are solved, the impedance of the passive device is accurately expressed, the over-design of filtering of high-voltage electrical parts is avoided, the experience dependence on engineers is reduced, and the labor cost is reduced. Therefore, the technical problems that in the related art, the accurate expression of the impedance of the passive device cannot be guaranteed by combining a parameter extraction method of a theoretical calculation formula, and labor cost is high are solved.
Next, an impedance fitting apparatus of a passive device proposed according to an embodiment of the present application is described with reference to the drawings.
Fig. 6 is a block diagram of an impedance fitting apparatus of a passive device according to an embodiment of the present application.
As shown in fig. 6, the impedance fitting apparatus 10 of the passive device includes: an acquisition module 100, a calculation module 200 and an impedance fitting module 300.
Specifically, the obtaining module 100 is configured to obtain impedance topology information of at least one passive device of the vehicle.
And the calculating module 200 is used for determining the number of model basic unit groups of at least one passive device and the initial parameter value of each group based on the impedance topology information.
And the impedance fitting module 300 is configured to select the minimum error parameter of each group according to a preset searching advantage within a preset parameter optimizing range based on the initial parameter value, and obtain an optimal parameter with an impedance calculation error meeting a preset condition according to the minimum error parameter of each group, so as to estimate the noise coupling path effect of the passive device.
Optionally, in an embodiment of the present application, the impedance topology information includes an impedance topology and at least one set of impedance elementary networks, wherein each set of impedance elementary networks corresponds to one resonance peak to which the impedance characteristic is fitted.
Optionally, in an embodiment of the present application, the impedance fitting module 300 includes: the device comprises a first calculation unit, a second calculation unit and a third calculation unit.
The first calculation unit is used for selecting parameters in a first preset step length in a first preset parameter optimization range and calculating all combination results of different parameters.
And the second calculation unit is used for substituting each group of parameters in the combination result into a preset formula and calculating the impedance calculation result under each group of parameters.
And the third calculation unit is used for acquiring an actual error between the impedance calculation result and the actual measurement result, and performing grouping iterative calculation based on the actual error until an initial optimal parameter with an error meeting a preset condition is obtained.
Optionally, in an embodiment of the present application, the impedance fitting module 300 further includes: a fourth calculation unit and a fifth calculation unit.
The fourth calculating unit is used for performing parameter selection within a second preset parameter optimization range by using the second preset optimization based on the initial optimization result so as to calculate the impedance calculation result of the last two groups of parameters.
And the fifth calculation unit is used for calculating the current error according to the impedance calculation results of the last two groups of parameters, calculating the optimized current error variation based on the current error, outputting the initial optimal parameters when the error variation is smaller than a preset threshold, and otherwise, obtaining the final optimal parameters smaller than the preset threshold based on the error variation and the initial optimal parameters.
Optionally, in an embodiment of the present application, the calculation formula of the initial parameter value is:
L 1 ＝|Z|/(2πf p1 )，
C i ＝1/(2πf pi ) 2 L i ，
L i+1 ＝1/(2πf bi ) 2 C i ，
wherein Z represents the impedance value of the equivalent circuit, f pi Frequency point representing the ith harmonic peak, f bi Denotes the ith resonance valley, C i Representing the capacitance, L, of the ith RLC impedance basic network i Representing the inductance value of the ith RLC impedance fundamental network.
It should be noted that the foregoing explanation of the embodiment of the impedance fitting method for a passive device is also applicable to the impedance fitting apparatus for a passive device in this embodiment, and details are not repeated here.
According to the impedance fitting device of the passive device, the number of model basic unit groups of at least one passive device and the initial value of each group of parameters can be determined based on the impedance topological information of the passive device, the minimum error parameter of each group is selected according to the preset advantages in the preset parameter optimization range, the optimal parameter of which the impedance calculation error meets the preset condition is obtained, and the noise coupling path effect of the passive device is estimated, so that the problems of high sample piece rectification cost, long rectification period and the like are solved, the accurate expression of the impedance of the passive device is realized, the over-design of the filtering of high-voltage electrical appliance parts is avoided, the experience dependence on engineers is reduced, and the labor cost is reduced. Therefore, the technical problems that in the related art, the accurate expression of the impedance of the passive device cannot be guaranteed by combining a parameter extraction method of a theoretical calculation formula, and labor cost is high are solved.
Fig. 7 is a schematic structural diagram of a vehicle according to an embodiment of the present application. The vehicle may include:
The processor 702, when executing the program, implements the impedance fitting method of the passive device provided in the above embodiments.
Further, the vehicle further includes:
a communication interface 703 for communicating between the memory 701 and the processor 702.
A memory 701 for storing computer programs operable on the processor 702.
If the memory 701, the processor 702 and the communication interface 703 are implemented independently, the communication interface 703, the memory 701 and the processor 702 may be connected to each other through a bus and perform communication with each other. The bus may be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, an Extended ISA (EISA) bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one thick line is shown in FIG. 7, but this is not intended to represent only one bus or type of bus.
Alternatively, in specific implementation, if the memory 701, the processor 702, and the communication interface 703 are integrated on one chip, the memory 701, the processor 702, and the communication interface 703 may complete mutual communication through an internal interface.
The processor 702 may be a Central Processing Unit (CPU), an Application Specific Integrated Circuit (ASIC), or one or more Integrated circuits configured to implement embodiments of the present Application.
Embodiments of the present application also provide a computer-readable storage medium, on which a computer program is stored, and when the program is executed by a processor, the method for impedance fitting of a passive device as above is implemented.
In the description herein, reference to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the application. In this specification, the schematic representations of the terms used above are not necessarily intended to refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or N embodiments or examples. Furthermore, various embodiments or examples and features of different embodiments or examples described in this specification can be combined and combined by one skilled in the art without contradiction.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. In the description of the present application, "N" means at least two, e.g., two, three, etc., unless specifically limited otherwise.
Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or N executable instructions for implementing steps of a custom logic function or process, and alternate implementations are included within the scope of the preferred embodiment of the present application in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the embodiments of the present application.
The logic and/or steps represented in the flowcharts or otherwise described herein, e.g., an ordered listing of executable instructions that can be considered to implement logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For the purposes of this description, a "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection (electronic device) having one or N wires, a portable computer diskette (magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). Additionally, the computer-readable medium could even be paper or another suitable medium upon which the program is printed, as the program can be electronically captured, via optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner if necessary, and then stored in a computer memory.
It should be understood that portions of the present application may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the N steps or methods may be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system. If implemented in hardware as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
It will be understood by those skilled in the art that all or part of the steps carried by the method for implementing the above embodiments may be implemented by hardware related to instructions of a program, which may be stored in a computer readable storage medium, and when the program is executed, the program includes one or a combination of the steps of the method embodiments.
In addition, functional units in the embodiments of the present application may be integrated into one processing module, or each unit may exist alone physically, or two or more units are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. The integrated module, if implemented in the form of a software functional module and sold or used as a stand-alone product, may also be stored in a computer readable storage medium.
The storage medium mentioned above may be a read-only memory, a magnetic or optical disk, etc. While embodiments of the present application have been shown and described above, it will be understood that the above embodiments are exemplary and should not be construed as limiting the present application and that changes, modifications, substitutions and alterations in the above embodiments may be made by those of ordinary skill in the art within the scope of the present application.
Claims (12)
1. An impedance fitting method of a passive device, comprising the steps of:
obtaining impedance topology information of at least one passive device of the automobile;
determining the number of model basic unit groups of the at least one passive device and the initial parameter value of each group based on the impedance topology information; and
and selecting the minimum error parameter of each group according to a preset advantage in a preset parameter optimization range on the basis of the initial parameter value, and obtaining an optimal parameter with an impedance calculation error meeting a preset condition according to the minimum error parameter of each group so as to estimate the noise coupling path effect of the passive device.
2. The method of claim 1, wherein the impedance topology information comprises an impedance topology and at least one set of impedance elementary networks, wherein each set of impedance elementary networks corresponds to one resonant peak fitted to the impedance characteristic.
3. The method according to claim 1, wherein the selecting the error minimum parameter of each group according to a preset merit finding range in a preset parameter optimum finding range, and obtaining an optimum parameter with an impedance calculation error meeting a preset condition according to the error minimum parameter of each group comprises:
in a first preset parameter optimizing range, selecting parameters according to a first preset step length, and calculating all combination results of different parameters;
bringing each group of parameters in the combination result into a preset formula, and calculating an impedance calculation result under each group of parameters;
and acquiring an actual error between the impedance calculation result and the actual measurement result, and performing grouping iterative calculation based on the actual error until an initial optimal parameter is obtained, wherein the error meets a preset condition.
4. The method of claim 3, wherein the selecting the error minimum parameter of each group with a preset merit finding range in the preset parameter merit finding range and obtaining the optimal parameter with the impedance calculation error satisfying the preset condition according to the error minimum parameter of each group, further comprises:
based on the initial optimization result, performing parameter selection by a second preset step length in a second preset parameter optimization range to calculate the impedance calculation results of the last two groups of parameters;
and calculating a current error according to the impedance calculation results of the last two groups of parameters, calculating the optimized current error variation based on the current error, outputting the initial optimal parameters when the error variation is smaller than a preset threshold, and otherwise, obtaining the final optimal parameters smaller than the preset threshold based on the error variation and the initial optimal parameters.
5. The method of claim 1, wherein the initial value of the parameter is calculated by:
L 1 ＝|Z|/(2πf p1 )，
C i ＝1/(2πf pi ) 2 L i ，
L i+1 ＝1/(2πf bi ) 2 C i ，
wherein Z represents the impedance value of the equivalent circuit, f pi Frequency point representing the ith harmonic peak, f bi Denotes the ith resonance valley, C i Denotes the capacitance value, L, of the ith RLC impedance basic network i Representing the inductance value of the ith RLC impedance fundamental network.
6. An impedance fitting apparatus for a passive device, comprising:
the acquisition module is used for acquiring impedance topology information of at least one passive device of the automobile;
the calculation module is used for determining the number of model basic unit groups of the at least one passive device and the initial parameter value of each group based on the impedance topology information; and
and the impedance fitting module is used for selecting the minimum error parameter of each group in a preset parameter optimization range on the basis of the initial parameter value, and obtaining the optimal parameter of which the impedance calculation error meets the preset condition according to the minimum error parameter of each group so as to estimate the noise coupling path effect of the passive device.
7. The apparatus of claim 6, wherein the impedance topology information comprises an impedance topology and at least one set of impedance elementary networks, wherein each set of impedance elementary networks corresponds to one resonance peak fitted to the impedance characteristic.
8. The apparatus of claim 6, wherein the impedance fitting module comprises:
the first calculation unit is used for selecting parameters in a first preset step length in a first preset parameter optimization range and calculating all combination results of different parameters;
the second calculation unit is used for substituting each group of parameters in the combination result into a preset formula and calculating an impedance calculation result under each group of parameters;
and the third calculation unit is used for acquiring an actual error between the impedance calculation result and the actual measurement result, and performing grouping iterative calculation based on the actual error until an initial optimal parameter of which the error meets a preset condition is obtained.
9. The apparatus of claim 8, wherein the impedance fitting module further comprises:
the fourth calculation unit is used for performing parameter selection within a second preset parameter optimization range by using a second preset step length on the basis of the initial optimization result so as to calculate the impedance calculation results of the last two groups of parameters;
and the fifth calculation unit is used for calculating the current error according to the impedance calculation results of the last two groups of parameters, calculating the optimized current error variation based on the current error, outputting the initial optimal parameters when the error variation is smaller than a preset threshold, and otherwise, obtaining the final optimal parameters smaller than the preset threshold based on the error variation and the initial optimal parameters.
10. The apparatus of claim 6, wherein the initial value of the parameter is calculated by:
L 1 ＝|Z|/(2πf p1 )，
C i ＝1/(2πf pi ) 2 L i ，
L i+1 ＝1/(2πf bi ) 2 C i ，
wherein Z represents the impedance value of the equivalent circuit, f pi Frequency point representing the ith harmonic peak, f bi Denotes the ith resonance valley, C i Representing the capacitance, L, of the ith RLC impedance basic network i Representing the inductance value of the ith RLC impedance fundamental network.
11. A vehicle, characterized by comprising: memory, processor and computer program stored on the memory and executable on the processor, the processor executing the program to implement the impedance fitting method of a passive device according to any of claims 1-5.
12. A computer-readable storage medium, on which a computer program is stored, characterized in that the program is executed by a processor for implementing an impedance fitting method of a passive device according to any of claims 1-5.
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Address after: No. 588 Shuguang Road, Longxing Town, Yubei District, Chongqing, 401135 Applicant after: Deep Blue Automotive Technology Co.,Ltd. Address before: 401133 room 208, 2 house, 39 Yonghe Road, Yu Zui Town, Jiangbei District, Chongqing Applicant before: CHONGQING CHANGAN NEW ENERGY AUTOMOBILE TECHNOLOGY Co.,Ltd. |