Power flexible expansion calling method and system of split charging pile
Patent Information
- Application Number
- CN202610786722.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-06-03
- Publication Date
- 2026-08-18
AI Technical Summary
[0003]传统技术中,依托固定导纳模型进行扩容决策,但是该方式难以实时感知系统阻抗变化,容易产生谐振隐患;传统技术采用统一阻尼系数对不同工作单元进行调控,但未兼顾各类单元的动态特性差异,不仅削弱阻尼作用,还可能诱发二次振荡;此外,传统技术在单元投切过程中运用阶跃式切换方式,会造成母线电压出现明显波动,影响充电安全和设备使用状态
[0054] This application provides a method and system for flexible power expansion of split-type charging piles. Under the steady-state operation of the charging pile, the method applies a coordinated disturbance to the charging pile bus and collects the disturbance response data. It then generates a real-time system impedance spectrum by combining time-frequency transformation and completes the iteration of the admittance matrix and the generation of predicted resonance parameters based on the dynamically updated system impedance spectrum. This method can dynamically adapt to changes in the operating conditions of the charging pile system, identify potential resonance hazards in the expansion stage in advance, and effectively reduce the resonance risk in the flexible power expansion stage of split-type charging piles.
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Figure CN122585025A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of power system stability control technology, and in particular to a method and system for flexible power expansion and dispatching of split-type charging piles. Background Technology
[0002] With the rapid popularization of new energy vehicles, split-type charging piles have become the mainstream charging infrastructure due to their flexible power expansion capabilities. Flexible power expansion technology is crucial for ensuring the efficient operation of charging piles and directly affects the stability of multi-vehicle collaborative charging and the safety of power grid operation.
[0003] Traditional technologies rely on fixed admittance models for capacity expansion decisions, but this approach struggles to detect system impedance changes in real time, potentially leading to resonance issues. Furthermore, traditional technologies use a uniform damping coefficient to regulate different working units, but fail to consider the dynamic characteristics of each unit, weakening the damping effect and potentially inducing secondary oscillations. Additionally, the step-switching method used in traditional unit switching processes causes significant fluctuations in bus voltage, impacting charging safety and equipment performance. Summary of the Invention
[0004] Therefore, it is necessary to provide a method and system for flexible power expansion and call-up of split-type charging piles to address the above-mentioned technical problems, so as to achieve the technical effects of reducing resonance risk, improving damping efficiency, and suppressing voltage fluctuations.
[0005] Firstly, this application provides a method for flexible power capacity expansion and dispatching of a split-type charging pile, the method comprising:
[0006] In response to the steady-state operation, a coordinated disturbance injection is performed on the charging pile bus to obtain a disturbance response dataset; the disturbance response dataset is then subjected to time-frequency transformation to generate the system impedance spectrum;
[0007] In response to the power expansion call command, the admittance matrix is updated based on the system impedance spectrum to generate the predicted resonance parameters;
[0008] When the predicted resonance parameters meet the preset risk conditions, virtual damping coordination is performed on the acquired power unit set to generate a damping control signal; in response to the switching end signal, the damping control signal is attenuated and switched to generate a steady-state control signal.
[0009] In one embodiment, in response to a power expansion call command, the admittance matrix is updated based on the system impedance spectrum to generate predicted resonance parameters, including:
[0010] In response to the power expansion call command, the topology change information in the power expansion call command is parsed to obtain the target unit access identifier;
[0011] Based on the target unit access identifier, the corresponding target impedance spectrum is extracted from the pre-stored characteristic library;
[0012] The target impedance spectrum and the system impedance spectrum are fused in the frequency domain admittance to generate a hybrid admittance model.
[0013] A full-band pole scan was performed on the hybrid admittance model to obtain the set of potential resonant points;
[0014] The energy distribution characteristics of the potential resonant point set are quantified to generate predicted resonant parameters.
[0015] In one embodiment, the target impedance spectrum and the system impedance spectrum are fused using frequency domain admittance to generate a hybrid admittance model, including:
[0016] The target impedance spectrum is transformed by frequency domain admittance conversion to obtain the target admittance spectrum;
[0017] The system impedance spectrum is transformed by frequency domain admittance conversion to obtain the system admittance spectrum;
[0018] The target admittance spectrum and the system admittance spectrum are band aligned to generate a normalized admittance matrix;
[0019] Based on the influence weights of the expansion unit, the normalized admittance matrix is dynamically weighted and fused to generate a weighted admittance model.
[0020] Phase characteristic correction is performed on the weighted admittance model to generate a hybrid admittance model.
[0021] In one embodiment, when the predicted resonance parameters meet a preset risk condition, virtual damping coordination is performed on the acquired power unit set to generate a damping control signal, including:
[0022] When the predicted resonance parameters meet the preset risk conditions, the resonance characteristics of the predicted resonance parameters are extracted to obtain the dominant resonance frequency and energy amplitude.
[0023] The frequency band of the dominant resonant frequency point is adaptively adjusted to generate an adaptive damping frequency band.
[0024] The damping coefficient is dynamically calculated based on the energy amplitude to generate a dynamic damping coefficient.
[0025] Based on the adaptive damping frequency band and dynamic damping coefficient, phase synchronous damping injection is performed on the online units in the power unit set to obtain the steady-state damping component.
[0026] Based on adaptive damping frequency band and dynamic damping coefficient, resistive start-up trajectory planning is performed on the target access unit in the power unit set to generate transient damping components.
[0027] The steady-state damping component and the transient damping component are subjected to coordinated signal fusion processing to generate a damping control signal.
[0028] In one embodiment, based on the adaptive damping frequency band and dynamic damping coefficient, resistive start-up trajectory planning is performed on the target access unit in the power unit set to generate transient damping components, including:
[0029] Based on adaptive damping frequency bands, multi-band damping component sets are generated;
[0030] Based on the dynamic damping coefficient, the strength of the multi-band damping component set is calibrated to obtain the calibrated damping component set;
[0031] Obtain the startup power curve of the target access unit and generate a time-varying damping ratio sequence;
[0032] Based on the time-varying damping ratio sequence, the calibration damping component set is dynamically weighted and combined to generate the time-varying damping spectrum;
[0033] The time-domain damping spectrum is reconstructed to generate transient damping components.
[0034] In one embodiment, in response to a switching end signal, the damping control signal is attenuated and switched to generate a steady-state control signal, including:
[0035] In response to the end signal of switching, the impedance spectrum of the system is calculated in real time to obtain the impedance change rate index;
[0036] The attenuation time constant is dynamically calculated based on the impedance change rate index to generate adaptive attenuation parameters.
[0037] Based on the adaptive attenuation parameter, the damping control signal is subjected to exponential attenuation processing to generate an attenuated damping signal;
[0038] Synchronously perform phase-locking operation on the bus voltage of the charging pile to obtain a phase synchronization reference signal;
[0039] The attenuation damping signal and the phase synchronization reference signal are gradually switched and fused to generate a transition control signal;
[0040] Real-time monitoring of the attenuation damping component in the transition control signal yields the residual energy index.
[0041] When the residual energy index is lower than the preset threshold, the output phase synchronization reference signal is used as the steady-state control signal.
[0042] In one embodiment, in response to a steady-state operating condition, a coordinated disturbance injection is performed on the charging pile busbar to obtain a disturbance response dataset, including:
[0043] In response to steady-state operation, a multi-band disturbance signal sequence is generated, wherein each disturbance signal has orthogonal frequency characteristics;
[0044] A multi-band disturbance signal sequence is injected into the charging pile busbar in the time domain to obtain a composite disturbance waveform;
[0045] The bus voltage response under the action of composite disturbance waveforms is acquired synchronously to generate a multi-frequency band voltage response set.
[0046] Synchronously acquire the total current response corresponding to the composite disturbance waveform to generate a multi-frequency band current response set;
[0047] Frequency domain correlation matching is performed on the multi-band voltage response set and the multi-band current response set to generate a disturbance response dataset.
[0048] Secondly, this application also provides a power flexible expansion and dispatching system for a split-type charging pile, the system comprising:
[0049] The impedance spectrum generation module is used to inject a coordinated disturbance into the charging pile bus in response to the steady-state operation, and obtain a disturbance response dataset; the disturbance response dataset is then transformed by time and frequency to generate the system impedance spectrum.
[0050] The resonance prediction module is used to update the admittance matrix based on the system impedance spectrum and generate predicted resonance parameters in response to the power expansion call command.
[0051] The damping coordination switching module is used to perform virtual damping coordination on the acquired power unit set when the predicted resonance parameters meet the preset risk conditions, and generate a damping control signal; in response to the switching end signal, the damping control signal is attenuated and switched to generate a steady-state control signal.
[0052] Thirdly, this application also provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the steps of any of the methods in the first aspect of this application.
[0053] Fourthly, this application also provides a computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the steps of any of the methods in the first aspect of this application.
[0054] This application provides a method and system for flexible power expansion of split-type charging piles. Under the steady-state operation of the charging pile, the method applies a coordinated disturbance to the charging pile bus and collects the disturbance response data. It then generates a real-time system impedance spectrum by combining time-frequency transformation and completes the iteration of the admittance matrix and the generation of predicted resonance parameters based on the dynamically updated system impedance spectrum. This method can dynamically adapt to changes in the operating conditions of the charging pile system, identify potential resonance hazards in the expansion stage in advance, and effectively reduce the resonance risk in the flexible power expansion stage of split-type charging piles.
[0055] This method assesses risks based on predicted resonance parameters, implements targeted virtual damping coordinated control on the power unit set, improves damping adaptation effect, and thus enhances the system's damping suppression efficiency. After the power unit switching is completed, the damping control signal is subjected to attenuation switching processing to smooth the transition process of the control signal, effectively suppressing bus voltage fluctuations caused by unit switching and power expansion, and improving the overall stability of the charging pile expansion operation. Attached Figure Description
[0056] To more clearly illustrate the technical solutions in the embodiments or related technologies of this application, the accompanying drawings used in the description of the embodiments or related technologies will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.
[0057] Figure 1 A flowchart of a method for flexible power expansion and call-up of a split-type charging pile according to an embodiment of the present invention;
[0058] Figure 2 A flowchart illustrating how, in one embodiment of the present invention, a coordinated disturbance injection is performed on the charging pile busbar in response to a steady-state operating condition to obtain a disturbance response dataset;
[0059] Figure 3 This is a structural diagram of a power elastic expansion and recall system for a split-type charging pile according to one embodiment of the present invention. Detailed Implementation
[0060] To make the above-mentioned objects, features, and advantages of this application more apparent and understandable, the specific embodiments of this application will be described in detail below with reference to the accompanying drawings. Many specific details are set forth in the following description to provide a thorough understanding of this application. However, this application can be implemented in many other ways different from those described herein, and those skilled in the art can make similar modifications without departing from the spirit of the application. Therefore, this application is not limited to the specific embodiments disclosed below.
[0061] In the embodiments of this application, a method and system for flexible power expansion and call of split charging piles applicable to, but not limited to, large centralized charging stations, industrial park charging clusters, and public charging areas of commercial complexes are provided.
[0062] In illustrative purposes, the power elastic expansion and calling method and system for a split-type charging pile provided in this application embodiment can also be applied to scenarios such as charging stations in highway service areas, dedicated charging areas in logistics parks, and supporting charging facilities in residential communities. This is only an example and does not limit the specific application scenarios.
[0063] like Figure 1 As shown, this application provides a method for flexible power expansion and dispatching of a split-type charging pile, the method comprising:
[0064] S101: In response to the steady-state operation, a coordinated disturbance injection is performed on the charging pile bus to obtain a disturbance response dataset; the disturbance response dataset is then subjected to time-frequency transformation to generate the system impedance spectrum.
[0065] For example, the charging pile control terminal continuously monitors the overall operating condition of the split charging pile. After determining that the equipment has entered a steady-state operating state, it implements coordinated disturbance injection into the charging pile bus according to the preset control logic, and simultaneously collects various operating response information generated by the disturbance of the charging pile bus. The collected information is classified, sorted and integrated one by one, and a disturbance response dataset is generated based on the integrated information.
[0066] The charging pile control terminal retrieves the generated disturbance response dataset and uses it as the basis for calculation. It performs time-frequency transformation on the dataset to distinguish the time-domain and frequency-domain operating characteristics contained in the data. It extracts the frequency-domain characteristics related to system impedance from the transformation results, and performs analysis and calculation based on the extracted content to generate the system impedance spectrum.
[0067] S102: In response to the power expansion call command, update the admittance matrix based on the system impedance spectrum and generate the predicted resonance parameters.
[0068] For example, the charging pile control terminal responds to the power expansion call command of the split charging pile, retrieves the system impedance spectrum, updates the admittance matrix in combination with the current operating status of the split charging pile, analyzes the system operating characteristics corresponding to the power expansion condition based on the updated admittance matrix, judges the resonance-related characteristics existing in the operation process, completes the corresponding operating condition deduction and feature analysis, and generates predicted resonance parameters.
[0069] S103: When the predicted resonance parameters meet the preset risk conditions, virtual damping coordination is performed on the acquired power unit set to generate a damping control signal; in response to the switching end signal, the damping control signal is attenuated and switched to generate a steady-state control signal.
[0070] For example, the charging pile control terminal will match and verify the predicted resonance parameters and preset risk conditions. When the verification result meets the risk judgment requirements, it will perform virtual damping collaborative regulation on the acquired power unit set. By integrating various damping regulation components, it will complete signal fusion processing and generate a damping control signal.
[0071] The charging pile control terminal responds in real time to the switching end signal fed back by the split charging pile, performs standardized attenuation switching processing on the current damping control signal, realizes smooth transition and iteration of the control signal, and generates a steady-state control signal.
[0072] One embodiment of this application provides a method for flexible power expansion of a split-type charging pile. Under the steady-state operation of the charging pile, the method applies a coordinated disturbance to the charging pile bus and collects disturbance response data. It then generates a real-time system impedance spectrum by combining time-frequency transformation and completes the iteration of the admittance matrix and the generation of predicted resonance parameters based on the dynamically updated system impedance spectrum. This method can dynamically adapt to changes in the operating conditions of the charging pile system, identify potential resonance hazards in the expansion stage in advance, and effectively reduce the resonance risk in the flexible power expansion stage of the split-type charging pile.
[0073] This method assesses risks based on predicted resonance parameters, implements targeted virtual damping coordinated control on the power unit set, improves damping adaptation effect, and thus enhances the system's damping suppression efficiency. After the power unit switching is completed, the damping control signal is subjected to attenuation switching processing to smooth the transition process of the control signal, effectively suppressing bus voltage fluctuations caused by unit switching and power expansion, and improving the overall stability of the charging pile expansion operation.
[0074] In one embodiment, in response to a power expansion call command, the admittance matrix is updated based on the system impedance spectrum to generate predicted resonance parameters, including:
[0075] (1) In response to the power expansion call command, the topology change information in the power expansion call command is parsed to obtain the target unit access identifier.
[0076] For example, the charging pile control terminal continuously monitors the instruction transmission channel of the split-type charging pile and receives various business instructions issued by the external scheduling platform in real time. After detecting the power expansion call instruction and completing the message reception, it performs compliance verification on the integrity and validity of the instruction message, and disassembles and sorts out the multi-layer information carried in the message layer by layer according to the preset parsing rules. From the information obtained by disassembly, it extracts the topology change information corresponding to this expansion operation, sorts out the unit access-related content contained in the topology change information one by one, and formats the extracted exclusive identification information to generate the target unit access identifier.
[0077] The topology change information includes the power unit access configuration and topology adjustment information corresponding to the power expansion operation of the split charging pile. The target unit access identifier includes exclusive identification parameters used to uniquely distinguish the power unit to be connected for expansion.
[0078] (2) Based on the target unit access identifier, extract the corresponding target impedance spectrum from the pre-stored characteristic library.
[0079] For example, the charging pile control terminal retrieves the pre-stored characteristic library stored locally, uses the generated target unit access identifier as the search index, traverses all data entries stored in the pre-stored characteristic library according to the database search logic, compares the identification information associated with each entry with the target unit access identifier, determines the data entries that match each other, completely reads all electrical spectrum related data stored under that entry, performs format unification and anomaly removal processing on the read raw spectrum data, and generates the target impedance spectrum.
[0080] The pre-stored characteristic library includes a complete set of electrical impedance spectrum characteristic data for various specifications of power units, which have been pre-entered and stored. The target impedance spectrum includes the impedance characteristic distribution data of the power units to be added and expanded under all frequency operating conditions.
[0081] (3) The target impedance spectrum and the system impedance spectrum are fused in the frequency domain to generate a hybrid admittance model.
[0082] For example, the charging pile control terminal retrieves the system impedance spectrum and the target impedance spectrum, converts the two sets of impedance spectrum data into a standard frequency domain calculation format, configures the corresponding calculation weights according to the system operating conditions, and completes the admittance conversion, weighted superposition, and characteristic correction of the two sets of spectrum data according to the preset frequency domain fusion calculation rules. All frequency domain data generated by the calculation are then systematically spliced and logically correlated. Finally, combined with the electrical model construction specifications, the overall structure fitting and parameter calibration are completed to construct a complete hybrid admittance model. The formula for frequency domain admittance fusion is:
[0083]
[0084] In the formula, This represents the frequency domain admittance value corresponding to the hybrid admittance model. This represents the weighting coefficient corresponding to the power unit to be connected. This represents the frequency domain admittance value obtained from the target impedance spectrum conversion. The frequency domain admittance value obtained from the impedance spectrum conversion of the system represents the value of the frequency domain admittance. This represents the angular frequency corresponding to the frequency domain operation.
[0085] Frequency domain admittance fusion includes the computational process of admittance conversion, weighted superposition, and characteristic correction of two sets of impedance spectra under a unified frequency domain scale. The hybrid admittance model includes a global electrical admittance calculation model formed by fusing the original impedance characteristics of the system and the impedance characteristics of the unit to be connected.
[0086] (4) Perform a full-band pole scan on the hybrid admittance model to obtain the set of potential resonant points.
[0087] For example, the charging pile control terminal completes the loading and operating environment adaptation of the hybrid admittance model, delineates the complete scanning range covering the working frequency according to the parameters of the split charging pile equipment, divides the overall frequency band into multiple continuous analysis intervals and performs traversal detection in sequence, performs pole feature retrieval and electrical state analysis calculation in each subdivided interval, locates various electrical poles appearing in the hybrid admittance model, selects effective poles with resonance risk according to the resonance induction judgment criteria, collects the location information and basic feature data corresponding to all effective poles, classifies and collects various types of data and integrates them in an orderly manner, and generates a set of potential resonance points.
[0088] The full-band pole scanning includes a comprehensive analysis process that retrieves the pole distribution characteristics of the electrical model across the entire operating frequency range of the charging pile. The potential resonance point set includes a summary of all frequency poles in the hybrid admittance model that pose a risk of resonance induction.
[0089] (5) Quantify the energy distribution characteristics of the potential resonant point set and generate predicted resonant parameters.
[0090] For example, the charging pile control terminal retrieves a set of potential resonant points, sequentially traverses each resonant point within the set according to its arrangement, and extracts state information such as the energy amplitude and distribution range of the electrical signal within the corresponding frequency range for each point. Based on preset integration rules, the extracted raw energy information is standardized and quantized. After quantization of all points, feature normalization and correlation analysis are performed, and all quantized features are integrated and combined according to parameter compilation specifications to generate predicted resonant parameters for assessing the system's resonance risk level. The formula for quantifying the energy distribution characteristics is:
[0091]
[0092] In the formula, This represents the quantized value of the resonant energy corresponding to a single potential resonant point. This represents the initial angular frequency corresponding to a single resonant point. This represents the termination angular frequency corresponding to a single resonant point. The magnitude representing the frequency domain admittance value of the hybrid admittance model. The differential variable represents the angular frequency.
[0093] The energy distribution characteristics include the energy amplitude, distribution range, and attenuation characteristics of the charging pile's electrical signal at each resonant frequency point. The predicted resonance parameters include characteristic parameters generated based on the resonance energy quantification results, used to assess the degree of system resonance risk.
[0094] In one embodiment, the target impedance spectrum and the system impedance spectrum are fused using frequency domain admittance to generate a hybrid admittance model, including:
[0095] (1) Perform frequency domain admittance conversion on the target impedance spectrum to obtain the target admittance spectrum.
[0096] For example, the charging pile control terminal performs integrity, validity, and abnormal data screening on the raw data of the target impedance spectrum. After confirming that the data status meets the requirements of frequency domain calculation, it combines the inherent electrical loss characteristics of the power unit to be connected and, according to the power frequency domain parameter conversion standard, converts the electrical parameters in all frequency ranges covered by the target impedance spectrum one by one, transforming the impedance parameters corresponding to each frequency band into admittance parameters in the same frequency domain. After completing all parameter conversions, the output data is then formatted, logically verified, and parameter consistency checked to generate the target admittance spectrum. The formula for frequency domain impedance to admittance conversion is:
[0097]
[0098] In the formula, This represents the frequency domain admittance value corresponding to the target admittance spectrum. The frequency domain impedance value represents the target impedance spectrum. This represents the angular frequency corresponding to the frequency domain operation. This represents the inherent frequency domain attenuation coefficient corresponding to the power unit to be added for expansion. This is the frequency domain attenuation compensation term for the power unit to be connected and expanded, used to characterize the attenuation effect of the unit's inherent electrical losses on the frequency domain admittance.
[0099] The target impedance spectrum includes the impedance characteristics of the power units to be added across the entire frequency range. The target admittance spectrum includes the admittance characteristics of the target impedance spectrum after parameter transformation based on the unit's frequency domain loss characteristics, obtained across the entire frequency range.
[0100] (2) Perform frequency domain admittance conversion on the system impedance spectrum to obtain the system admittance spectrum.
[0101] For example, after completing the generation and verification of the target admittance spectrum, the charging pile control terminal retrieves the system impedance spectrum continuously collected during system operation. The raw data of the system impedance spectrum undergoes compliance verification and noise filtering. Using a unified frequency domain parameter conversion framework and matching the loss characteristics of the original split-type charging pile system, the impedance parameters of each frequency range of the system impedance spectrum are sequentially converted to admittance parameters, achieving the overall conversion of impedance parameters to admittance parameters. The converted multi-frequency band data is then uniformly sorted, formatted, and its status verified to generate the system admittance spectrum. The formula for the frequency domain impedance to admittance conversion is:
[0102]
[0103] In the formula, This represents the frequency domain admittance value corresponding to the system admittance spectrum. This represents the frequency domain impedance value corresponding to the system impedance spectrum. This represents the angular frequency corresponding to the frequency domain operation. This represents the inherent frequency domain attenuation coefficient corresponding to the original system of the split-type charging pile. This represents the frequency domain attenuation compensation term of the original system of the split-type charging pile, which is used to characterize the attenuation effect of the inherent electrical loss of the system on the frequency domain admittance.
[0104] The system impedance spectrum includes impedance characteristic data of the original operating system of the split-type charging pile across the entire frequency range. The system admittance spectrum includes admittance characteristic data across the entire frequency range obtained after parameter transformation by combining the system impedance spectrum with the system frequency domain loss characteristics.
[0105] (3) Perform frequency band alignment processing on the target admittance spectrum and the system admittance spectrum to generate a normalized admittance matrix.
[0106] For example, based on the generated target admittance spectrum and system admittance spectrum, the charging pile control terminal compares the frequency distribution range, data sampling interval, and dimension format of the two types of admittance spectra item by item, calculates the frequency band overlap of the two types of spectra at different frequency points in real time, configures dynamic frequency band correction parameters according to the calculation results, and performs a global joint normalization operation while completing the frequency band alignment. The calculated values are arranged in an orderly and hierarchical manner according to the arrangement rules of the electrical matrix, and the correlation, continuity, and integrity of the data within the matrix are verified to generate a normalized admittance matrix. The normalization formula for the admittance data after frequency band alignment is as follows:
[0107]
[0108] In the formula, This represents the admittance value after normalization. This represents the frequency domain admittance value corresponding to the target admittance spectrum. This represents the frequency domain admittance value corresponding to the system admittance spectrum. This represents the frequency band matching correction coefficient, which changes dynamically with frequency. This represents the angular frequency corresponding to the frequency domain operation.
[0109] The normalized admittance matrix includes an admittance data set that is integrated in matrix form after fusion of frequency band matching correction and global normalization processing.
[0110] (4) Based on the influence weight of the expansion unit, the normalized admittance matrix is dynamically weighted and fused to generate a weighted admittance model.
[0111] For example, by calling the frequency-varying weight parameters and admittance coupling coefficients stored locally on the device, the charging pile control terminal synchronously matches these two types of parameters to the computation link corresponding to the normalized admittance matrix. Based on the actual impact of the expansion unit in different frequency ranges, it calls the adaptive weighting rule to sequentially perform nonlinear weighting calculations on each data unit within the normalized admittance matrix. Simultaneously, it introduces admittance cross-coupling terms to characterize the interaction between the two types of admittance data. All computation results are summarized, and the overall architecture is built according to the electrical model construction standards. After double consistency verification of the model's basic data and computational logic, a weighted admittance model is generated. The formula for the nonlinear dynamic weighting fusion of the admittance matrix is:
[0112]
[0113] In the formula, This represents the frequency domain admittance value corresponding to the weighted admittance model. The weight representing the impact of expansion units that dynamically change with frequency. This represents the target admittance value after normalization. This represents the normalized system admittance value. Represents the admittance cross-coupling coefficient. This represents the angular frequency corresponding to the frequency domain operation.
[0114] The influence weights of the expansion units include dynamic parameters characterizing the impact of the power units to be added on the overall electrical characteristics at different frequency bands. The weighted admittance model is an electrical calculation model constructed by nonlinear weighting and coupling operations on the normalized admittance matrix.
[0115] (5) Perform phase characteristic correction processing on the weighted admittance model to generate a hybrid admittance model.
[0116] For example, the charging pile control terminal detects the parameters of the completed weighted admittance model, traverses the entire frequency range covered by the model, synchronously collects the phase parameters and admittance amplitude parameters corresponding to each frequency point, identifies the phase offset and the cause of the deviation by combining the amplitude and phase coupling distortion law of the frequency domain signal, applies dynamic compensation values to each point with deviation according to the amplitude and phase joint correction criterion, and after completing the phase correction of the entire frequency band, conducts a comprehensive review of the overall electrical characteristics and parameter matching relationship of the model to confirm that all parameters meet the system operation standards and generates a hybrid admittance model.
[0117] The phase characteristic correction process includes a combined adjustment process that integrates amplitude state correction of frequency domain signal phase shift and phase deviation compensation. The hybrid admittance model includes a global electrical admittance calculation model obtained after the weighted admittance model completes the combined amplitude and phase correction.
[0118] In one embodiment, when the predicted resonance parameters meet a preset risk condition, virtual damping coordination is performed on the acquired power unit set to generate a damping control signal, including:
[0119] (1) When the predicted resonance parameters meet the preset risk conditions, the resonance characteristics of the predicted resonance parameters are extracted to obtain the dominant resonance frequency and energy amplitude.
[0120] For example, the charging pile control terminal compares and verifies the predicted resonance parameters and preset risk conditions one by one, checks the various indicators of the predicted resonance parameters, and after confirming that the predicted resonance parameters meet the preset risk conditions, retrieves all the original data of the predicted resonance parameters and completes the data integrity and validity verification.
[0121] The charging pile control terminal performs multi-level decomposition and feature mining of the predicted resonance parameters according to the resonance feature analysis specification. It distinguishes the attribute categories and influence weights of resonance characterization information in different dimensions, eliminates invalid interference information based on feature screening rules, and completes feature weighting calculations based on resonance distribution weights. This process identifies the core frequency information and corresponding energy information that directly trigger system resonance. Data regularization is then performed through feature quantization to obtain the dominant resonance frequency and energy amplitude. The resonance feature extraction formula is as follows:
[0122]
[0123] In the formula, This represents the angular frequency corresponding to the dominant resonant frequency. Represents the weighting function of the resonant distribution. This represents the frequency domain characteristic function corresponding to the predicted resonance parameters. This represents the angular frequency corresponding to the frequency domain operation. This represents the numerical value corresponding to the energy amplitude. This represents the magnitude of the frequency domain characteristic function at the dominant resonant frequency.
[0124] The predicted resonance parameters include various characteristic parameters that characterize the resonance risk of a split-type charging pile system. The preset risk conditions include benchmark parameter standards for determining the system's resonance risk level. The dominant resonance frequency includes the core frequency point that triggers resonance in the split-type charging pile. The energy amplitude includes the energy intensity value of the electrical signal corresponding to the dominant resonance frequency.
[0125] (2) The frequency band of the dominant resonant frequency point is adaptively adjusted to generate an adaptive damping frequency band.
[0126] For example, the charging pile control terminal sets the initial frequency range boundary based on the real-time load conditions and electrical characteristics of the split-type charging pile, continuously tracks the dynamic shift trend and actual distribution range of the dominant resonant frequency point during operation, dynamically adjusts the frequency adjustment step size based on the acquired energy amplitude, and performs directional expansion or contraction adjustment of the initial frequency boundary according to the frequency band adaptive adjustment logic. This sequentially completes the frequency band coverage verification and frequency continuity verification, determines the effective frequency range suitable for the current resonant state, and generates an adaptive damping frequency band. The frequency band adaptive adjustment calculation formula is as follows:
[0127]
[0128] In the formula, This represents the frequency range corresponding to the adaptive damping band. This represents the angular frequency corresponding to the dominant resonant frequency. Represents the frequency band adaptive adjustment coefficient. This represents the frequency adjustment step size that dynamically changes with the energy amplitude. This represents the numerical value corresponding to the energy amplitude.
[0129] The adaptive damping frequency band includes the effective frequency range for applying the damping signal after the matching resonance characteristics are dynamically adjusted.
[0130] (3) Calculate the damping coefficient dynamically for the energy amplitude and generate the dynamic damping coefficient.
[0131] For example, the charging pile control terminal performs numerical stability verification on the energy amplitude, retrieves the system's preset benchmark damping parameters and energy correlation calculation rules, and synchronously introduces the offset of the dominant resonant frequency as a correction term. Based on the real-time magnitude, dynamic trend, and frequency offset of the energy amplitude, multiple rounds of nonlinear iterative calculations are performed to correct the numerical deviations generated during the calculation process. The matching degree between the calculation results and the on-site resonant conditions is repeatedly verified to determine the damping parameter values suitable for the current resonant intensity, generating a dynamic damping coefficient. The dynamic calculation formula for the damping coefficient is as follows:
[0132]
[0133] In the formula, This represents the numerical value corresponding to the dynamic damping coefficient. Represents the energy quadratic correlation coefficient. This represents the numerical value corresponding to the energy amplitude. Represents the frequency offset correction factor. The offset magnitude value representing the dominant resonant frequency. This represents the system's reference damping coefficient.
[0134] The dynamic damping coefficient includes damping strength control parameters that are adjusted in real time to follow changes in resonant energy.
[0135] (4) Based on the adaptive damping frequency band and dynamic damping coefficient, phase synchronous damping injection is performed on the online units in the power unit set to obtain the steady-state damping component.
[0136] For example, the charging pile control terminal classifies and identifies the states of all units within the power unit set by calling the adaptive damping frequency band and dynamic damping coefficient, locates the online units that maintain continuous operation within the power unit set, uniformly collects the current operating phase information of each online unit, and completes global phase reference calibration. Within the entire frequency range defined by the adaptive damping frequency band, the charging pile control terminal introduces a phase synchronization correction factor and a unit distribution coefficient, and sequentially applies a damping signal matching the dynamic damping coefficient to each online unit according to standard injection rules. It then summarizes the damping injection signals corresponding to all online units, performs a comprehensive verification of signal amplitude and phase consistency, and obtains the steady-state damping component. The phase synchronization damping injection calculation formula is as follows:
[0137]
[0138] In the formula, This represents the frequency domain signal value corresponding to the steady-state damping component. This represents the numerical value corresponding to the dynamic damping coefficient. The reference operating signal representing the online unit, Represents the online unit distribution coefficient. Represents the frequency range determination function. This represents the angular frequency corresponding to the frequency domain operation. This represents the frequency range corresponding to the adaptive damping band. Represents the imaginary unit. This represents the phase synchronization correction angle.
[0139] The power unit set includes aggregated data of power units configured in the split-type charging pile. Online units include power units in the power unit set that are continuously operating. Steady-state damping components include damping signal components acting on online units to maintain stable system operation.
[0140] (5) Based on the adaptive damping frequency band and dynamic damping coefficient, resistive start-up trajectory planning is performed on the target access unit in the power unit set to generate transient damping components.
[0141] For example, the charging pile control terminal identifies target access units that have not yet been connected to the system and are waiting to start operation from the power unit set. It then constructs a complete operating trajectory framework by combining the startup timing pattern and electrical transition characteristics of the target access units. A startup timing attenuation coefficient is introduced to characterize the transient changes during the unit startup process. The dynamic damping coefficient, adaptive damping frequency band, and timing parameters are matched one by one to each operating node of the operating trajectory. The charging pile control terminal sequentially verifies the smoothness of the trajectory curve, parameter matching, and adaptability to the on-site operating conditions. After optimizing and adjusting the trajectory details, it generates transient damping components.
[0142] The target access unit includes power units in the power unit set that are waiting to be connected to the system for startup. The transient damping component includes the damping signal component for the adaptation unit startup process and for suppressing transient resonance.
[0143] (6) Perform coordinated signal fusion processing on the steady-state damping component and the transient damping component to generate a damping control signal.
[0144] For example, the charging pile control terminal retrieves the steady-state damping component and the transient damping component, unifies the time axis and frequency axis references of the two types of signals, performs matching and adaptation processing on the amplitude and phase parameters of the two types of damping components, sets differentiated collaborative weights to distinguish the proportion of the steady-state component and the transient component, and simultaneously superimposes a phase coupling compensation term to eliminate the phase deviation caused by signal fusion. The integration operation of the two types of components is completed according to the preset signal fusion operation rules. The charging pile control terminal performs full-domain validity detection and operating condition adaptability detection on the integrated overall signal, confirms that all signal indicators meet the system control requirements, and generates a damping control signal.
[0145] The damping control signal includes an overall control signal used to suppress system resonance after integrating steady-state damping components and transient damping components.
[0146] In one embodiment, based on the adaptive damping frequency band and dynamic damping coefficient, resistive start-up trajectory planning is performed on the target access unit in the power unit set to generate transient damping components, including:
[0147] (1) Based on the adaptive damping frequency band, generate a multi-band damping component set.
[0148] For example, the charging pile control terminal verifies the frequency boundary integrity, interval continuity and operating condition adaptability of the adaptive damping frequency band. After confirming that the adaptive damping frequency band parameters are valid and correct, it calls the system's preset frequency band subdivision standard to decompose the complete adaptive damping frequency band into multiple continuous, non-overlapping, independent subdivided frequency bands that cover the entire frequency range.
[0149] For each sub-frequency band, the charging pile control terminal matches the corresponding basic damping signal generation rules, generates basic damping signals that are adapted to the electrical resonance characteristics of each frequency band, classifies, sorts, and verifies the parameter integrity of the basic damping signals corresponding to all sub-frequency bands, and unifies all damping signal data to generate a multi-frequency band damping component set.
[0150] The adaptive damping frequency band includes the effective frequency range for applying damping signals after dynamic adjustment of the matched resonance characteristics. The multi-band damping component set includes a signal set composed of the basic damping signals of each frequency band obtained by splitting the adaptive damping frequency band.
[0151] (2) Based on the dynamic damping coefficient, the strength of the multi-band damping component set is calibrated to obtain the calibrated damping component set.
[0152] For example, the charging pile control terminal retrieves the dynamic damping coefficient calculated and output in real time under the current resonant operating condition, and simultaneously reads the unified calibration specification for damping signal strength built into the system, using the dynamic damping coefficient as the strength benchmark for the full-band damping signal. The charging pile control terminal traverses all frequency band damping components stored within the multi-band damping component set, performing amplitude calibration, strength correction, and parameter adaptation processing on each individual damping component to eliminate strength differences between damping signals of different frequency bands, ensuring that the output strength of each frequency band damping component matches the dynamic damping coefficient of the current operating condition. After completing the calibration and consistency verification of all damping components, the calibrated damping component set is obtained.
[0153] The dynamic damping coefficient includes damping strength control parameters that are adjusted in real time according to changes in resonant energy. The calibration damping component set includes the set of damping signals for each frequency band after unified strength calibration.
[0154] (3) Obtain the startup power curve of the target access unit and generate a time-varying damping ratio sequence.
[0155] For example, the charging pile control terminal continuously collects real-time raw electrical power data of the target access unit from the pre-start, transient start to steady-state access process, and performs noise filtering, data repair and curve fitting and straightening on the collected raw power data to obtain a smooth and complete start-up power curve of the target access unit.
[0156] The charging pile control terminal analyzes the power fluctuation characteristics and operational change patterns of the starting power curve at different starting stages in a time-sequence manner. Based on the system's preset power-damping ratio correlation rules, it matches the damping ratio parameters corresponding to each starting sequence, and arranges all ratio parameters in sequence according to the starting time process of the target access unit to form a continuous and orderly time sequence parameter group, generating a time-varying damping ratio sequence.
[0157] The target access unit includes power units in the power unit set that are waiting to be connected to the system for startup. The startup power curve includes the power change curve of the target access unit from startup to stable operation. The time-varying damping ratio sequence includes a sequence of damping ratio parameters that dynamically change with the startup process.
[0158] (4) Based on the time-varying damping ratio sequence, the calibration damping component set is dynamically weighted and combined to generate the time-varying damping spectrum.
[0159] For example, the charging pile control terminal establishes a mapping relationship between the time-varying damping ratio sequence timing nodes and the calibrated damping component set frequency band parameters, and extracts the corresponding damping ratio parameters within the time-varying damping ratio sequence time-by-time according to the startup timing progress rhythm of the target access unit.
[0160] The charging pile control terminal calls the damping ratio parameters corresponding to the current time sequence, performs dynamic weighting calculations on the calibration damping components of each independent frequency band within the calibration damping component set, updates the damping signal amplitude while preserving the inherent resonance adaptation characteristics of each frequency band, and integrates all the frequency band damping signals that have completed weighting processing according to the standard frequency domain arrangement rules, so as to realize the orderly combination and overall adaptation of multi-frequency band damping signals and generate a time-varying damping spectrum.
[0161] The time-varying damping spectrum includes the frequency domain damping signal formed by weighting and combining time-series ratio parameters.
[0162] (5) Reconstruct the time-varying damping spectrum in the time domain to generate transient damping components.
[0163] For example, the charging pile control terminal retrieves the system's preset frequency-to-time domain reconstruction operation rules, performs full-domain, full-band signal domain conversion processing on the complete time-varying damping spectrum, and converts the discrete damping signal in the frequency domain dimension into a continuous original time domain signal in the time dimension. The charging pile control terminal, combined with the transient start-up electrical transition characteristics of the target access unit, performs timing smoothing optimization, micro-deviation correction, and operating condition adaptation calibration on the reconstructed original time domain signal, eliminating signal discontinuities and distortions, verifying the signal's transient resonance suppression capability and operational adaptability, and generating transient damping components.
[0164] The transient damping component includes the damping signal component that suppresses transient resonance during the adaptation unit startup process.
[0165] In one embodiment, in response to a switching end signal, the damping control signal is attenuated and switched to generate a steady-state control signal, including:
[0166] (1) In response to the end signal of switching, the impedance spectrum of the system is calculated in real time to obtain the impedance change rate index.
[0167] For example, the charging pile control terminal continuously monitors the switching status of each power unit of the split-type charging pile, and simultaneously listens for the switching completion signal in real time. After verifying the validity of the switching completion signal, the charging pile control terminal retrieves the complete system impedance spectrum data in continuous time sequence from the device's storage unit. It performs preprocessing on the raw system impedance spectrum data, including noise filtering, abnormal data removal, and time sequence alignment. It then selects the effective impedance data corresponding to adjacent sampling times before and after the switching action, and calculates the real-time impedance change rate according to the time sequence change calculation rules. The charging pile control terminal performs data stability verification and feature calibration on the calculated results to obtain the impedance change rate index. The calculation formula for the impedance change rate index is:
[0168]
[0169] In the formula, This represents the rate of change of impedance. This represents the current system impedance spectrum value. This represents the system impedance spectrum value at the previous sampling time. Represents a fixed timing sampling interval. This represents a variable that runs in real time.
[0170] The switching completion signal includes a status feedback signal generated after the power unit assembly completes the connection switching action. The system impedance spectrum includes impedance characteristic data of the original operating system of the split charging pile across the entire frequency range. The impedance change rate index includes characteristic indicators that quantify the real-time dynamic change rate and amplitude of the system impedance.
[0171] (2) Based on the impedance change rate index, the attenuation time constant is dynamically calculated to generate an adaptive attenuation parameter.
[0172] For example, the charging pile control terminal reads the impedance change rate index, calls the system's built-in impedance characteristic and attenuation parameter correlation calculation model, and performs multiple rounds of nonlinear fitting calculations based on the impedance fluctuation amplitude and trend reflected by the impedance change rate index. The charging pile control terminal introduces operating condition correction parameters to compensate for numerical deviations generated during the calculation process, verifies the operating condition adaptability of intermediate calculation results one by one and corrects the parameter values. After completing the full-process parameter verification work, adaptive attenuation parameters are generated.
[0173] Among them, the adaptive attenuation parameters include adaptive parameters that adapt to the dynamic changes in system impedance and are used to control the attenuation rate of the damping signal.
[0174] (3) Based on the adaptive attenuation parameter, the damping control signal is subjected to exponential attenuation processing to generate an attenuated damping signal.
[0175] For example, the charging pile control terminal retrieves the complete time-series data of the damping control signal, loads adaptive attenuation parameters as the control basis for the attenuation rate, and, in accordance with the power frequency domain signal exponential attenuation execution standard, traverses the full time-series data and full frequency domain data of the damping control signal, performing amplitude attenuation calculations for each data point. The charging pile control terminal monitors the signal operation status throughout the process, avoiding abnormal issues such as amplitude jumps and waveform distortions, ensuring a continuous and smooth signal attenuation process, and performing full-domain integrity and continuity verification on the processed signal to generate an attenuation damping signal.
[0176] The damping control signal includes an overall control signal used to suppress system resonance after integrating steady-state damping components and transient damping components.
[0177] (4) Synchronously perform phase locking operation on the bus voltage of the charging pile to obtain the phase synchronization reference signal.
[0178] For example, the charging pile control terminal continuously collects the raw voltage waveform data output from the charging pile bus, performs filtering, noise reduction, distortion repair, and waveform fitting on the raw voltage waveform data, and purifies it to obtain a steady-state voltage waveform. The charging pile control terminal extracts the phase feature information of the steady-state voltage waveform, determines a constant reference phase according to the phase locking rule, generates a continuous and stable reference signal based on the reference phase, and performs phase stability and timing continuity detection on the generated reference signal to obtain a phase synchronization reference signal.
[0179] The charging pile busbar includes the common voltage busbar to which the power units of the split-type charging piles are centrally connected. The phase synchronization reference signal includes a synchronization reference signal generated based on the steady-state voltage phase of the charging pile busbar.
[0180] (5) The attenuation damping signal and the phase synchronization reference signal are gradually switched and fused to generate a transition control signal.
[0181] For example, the charging pile control terminal retrieves the attenuation damping signal and the phase synchronization reference signal to unify the timing and frequency domain references of the two types of signals, eliminating timing and frequency deviations between them. The charging pile control terminal employs a progressive switching fusion strategy, configuring fusion weights that dynamically change with the running time, gradually adjusting the output proportions of the two types of signals according to the timing progress, and synchronously completing phase alignment and amplitude adaptation of the two types of signals. The charging pile control terminal detects the waveform smoothness and disturbance suppression capability of the fused signal, investigates impact problems generated during signal switching, and generates a transition control signal.
[0182] The transition control signal includes an intermediate transition control signal generated by the progressive fusion of the attenuation damping signal and the phase synchronization reference signal.
[0183] (6) Monitor the attenuation damping component in the transition control signal in real time to obtain the residual energy index.
[0184] For example, the charging pile control terminal establishes a real-time signal feature analysis channel to continuously collect all operational data of the transition control signal. Based on frequency domain feature decomposition rules, it separates the residual attenuation damping component from the transition control signal. The charging pile control terminal defines the adaptive damping frequency band as the effective range for energy statistics. Within this frequency range, it performs full-domain energy integration on the attenuation damping component, collects and standardizes the calculated energy values, verifies the validity of the statistical results, and obtains the residual energy index.
[0185]
[0186] In the formula, Represents residual energy index. This represents the frequency range corresponding to the adaptive damping band. This represents the time-frequency domain value corresponding to the transition control signal. The frequency domain magnitude of the transition control signal. This represents the angular frequency corresponding to the frequency domain operation. It represents the differential variable of angular frequency.
[0187] The residual energy index includes a characteristic indicator of the residual damping energy level in the quantized transition control signal. The adaptive damping frequency band includes the effective frequency range used to apply the damping signal after the matched resonance characteristics are dynamically adjusted.
[0188] (7) When the residual energy index is lower than the preset threshold, the output phase synchronization reference signal is used as the steady-state control signal.
[0189] For example, the charging pile control terminal retrieves the preset residual energy threshold set in the system, establishes a real-time comparison and judgment mechanism between the residual energy index and the residual energy threshold, continuously compares the real-time updated residual energy index with the preset residual energy threshold, and monitors the changing trend of the residual energy index.
[0190] Once the charging pile control terminal determines that the residual energy index remains below the preset residual energy threshold and the operating state remains stable, it confirms that the system's transient resonance process has completely ended, shuts down the output link of the attenuation damping signal, and outputs a separate phase synchronization reference signal. The charging pile control terminal performs a steady-state operation adaptability test on the output signal and determines the phase synchronization reference signal as the steady-state control signal.
[0191] The preset thresholds include critical reference values for determining whether the system's damping residual energy meets the standard and whether the system enters a steady state. The steady-state control signals include the control signals used by the system to complete resonance suppression and enter the steady-state operation phase.
[0192] like Figure 2 As shown, in response to the steady-state operation, a coordinated disturbance injection is performed on the charging pile busbar to obtain a disturbance response dataset, including:
[0193] S201: In response to steady-state operation, a multi-band disturbance signal sequence is generated, wherein each disturbance signal has orthogonal frequency characteristics.
[0194] For example, the charging pile control terminal identifies the steady-state operation of the split charging pile, confirms that the various electrical parameters of the system are maintained in a stable operating condition, and plans the disturbance frequency system according to the power frequency domain orthogonal design rules. It generates disturbance signals corresponding to different frequency domain intervals to ensure that each disturbance signal has orthogonal frequency characteristics, avoids the problem of mutual interference between signals of different frequency bands, and arranges all disturbance signals in an orderly manner according to the timing rules to generate a multi-frequency band disturbance signal sequence.
[0195] The steady-state operation includes the operating condition of the split charging pile system with no resonance fluctuations, no power disturbances, and continuously stable electrical parameters. The multi-band disturbance signal sequence includes a signal sequence composed of multiple independent disturbance signals with orthogonal frequency characteristics.
[0196] S202: Time-domain interleaving injection of multi-band disturbance signal sequences is performed on the charging pile bus to obtain a composite disturbance waveform.
[0197] For example, the charging pile control terminal retrieves a fully stored multi-band disturbance signal sequence, loads the system's preset time-domain interleaving injection control rules, and performs time-series interleaving and staggered superposition processing on each independent disturbance signal within the multi-band disturbance signal sequence. While preserving the inherent orthogonal frequency characteristics of each disturbance signal throughout the process, the charging pile control terminal completes the time-domain fusion and integration of the multi-path signals. It then performs continuity detection, distortion checking, and amplitude normalization on the fused overall waveform to ensure a smooth and anomaly-free output waveform. Finally, the processed overall waveform is injected into the charging pile bus to obtain a composite disturbance waveform.
[0198] Among them, the composite disturbance waveform includes the overall disturbance waveform formed by the time-domain interleaving and superposition of multi-band disturbance signals.
[0199] S203: Synchronously acquire the bus voltage response under the action of composite disturbance waveforms and generate a multi-frequency voltage response set.
[0200] For example, during the entire cycle of the composite disturbance waveform injected into the charging pile bus, the charging pile control terminal initiates a high-frequency synchronous voltage data acquisition mechanism to continuously capture the raw voltage response data generated by the disturbance excitation of the charging pile bus. The charging pile control terminal performs standardized preprocessing operations on the acquired raw voltage response data, including noise filtering, abnormal data removal, timing alignment, and waveform fitting. Based on the orthogonal frequency distribution characteristics of each disturbance signal, the preprocessed voltage data is split, classified, grouped, and organized in an orderly manner according to the frequency band dimension to generate a multi-frequency band voltage response set.
[0201] The multi-band voltage response set includes the bus voltage response data set corresponding to each orthogonal disturbance frequency band.
[0202] S204: Synchronously acquire the total current response corresponding to the composite disturbance waveform and generate a multi-band current response set.
[0203] For example, the charging pile control terminal aligns with the timing nodes of voltage data acquisition and synchronously initiates the acquisition of the charging pile bus current response, acquiring raw data of the current response generated by the charging pile bus under the excitation of composite disturbance waveforms. The charging pile control terminal performs data cleaning, deviation correction, and steady-state fitting optimization on the acquired raw current response data to eliminate random errors generated during the acquisition process. Based on the orthogonal frequency band distribution law of multi-frequency disturbance signals, it completes the segmentation, grouping, and regularization of the current data to generate a multi-frequency current response set.
[0204] The multi-band current response set includes the bus current response data set corresponding to each orthogonal disturbance frequency band.
[0205] S205: Perform frequency domain correlation matching on the multi-band voltage response set and the multi-band current response set to generate a disturbance response dataset.
[0206] For example, the charging pile control terminal synchronously retrieves the pre-processed multi-band voltage response set and multi-band current response set, unifies the time reference, frequency reference, and data accuracy standard of the two types of datasets, and synchronously converts the two types of time-domain datasets into standardized frequency-domain data. The charging pile control terminal establishes a one-to-one mapping relationship between voltage response data and current response data within the same orthogonal frequency interval for each frequency band, completes the association matching, accuracy verification, and invalid data removal of data across the entire frequency band, integrates all valid association data of all frequency bands, and completes overall standardization and regularization to generate a disturbance response dataset.
[0207] The disturbance response dataset includes a complete dataset formed by frequency domain correlation matching of voltage response data and current response data in each orthogonal frequency band.
[0208] It should be understood that although the steps in the flowcharts of the embodiments described above are shown sequentially according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the flowcharts of the embodiments described above may include multiple steps or multiple stages. These steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these steps or stages is not necessarily sequential, but can be performed alternately or in turn with other steps or at least some of the steps or stages of other steps.
[0209] In one embodiment, such as Figure 3 As shown, this application also provides a power flexible expansion and dispatch system 300 for a split-type charging pile, the system 300 including:
[0210] Impedance spectrum generation module 301 is used to perform coordinated disturbance injection on the charging pile bus in response to steady-state operation to obtain disturbance response dataset; and to perform time-frequency transformation on the disturbance response dataset to generate system impedance spectrum;
[0211] The resonance prediction module 302 is used to update the admittance matrix based on the system impedance spectrum and generate predicted resonance parameters in response to the power expansion call command.
[0212] The damping coordination switching module 303 is used to perform virtual damping coordination on the acquired power unit set when the predicted resonance parameters meet the preset risk conditions, and generate a damping control signal; in response to the switching end signal, the damping control signal is attenuated and switched to generate a steady-state control signal.
[0213] Specifically, the charging pile control terminal includes an impedance spectrum generation module, a resonance prediction module, and a damping coordinated switching module.
[0214] The impedance spectrum generation module continuously monitors the overall operating conditions of the split-type charging pile, identifies its steady-state operating status, and initiates coordinated disturbance injection into the charging pile busbar when the system's electrical parameters remain stable without abnormal fluctuations. This module collects raw electrical response data under disturbance excitation, performs cleaning, calibration, frequency band classification, and correlation integration on the raw data, verifies its integrity and validity, and obtains the disturbance response dataset.
[0215] The steady-state operation includes the operating condition of the split-type charging pile system with no resonance fluctuations, no power disturbances, and continuously stable electrical parameters. The charging pile busbar includes the common voltage busbar to which the power units of the split-type charging piles are centrally connected. The disturbance response dataset includes a complete dataset obtained after frequency domain correlation matching of voltage response data and current response data in each orthogonal frequency band.
[0216] The impedance spectrum generation module retrieves the disturbance response dataset, calls the system's preset time-frequency transformation mechanism, performs time-domain to frequency-domain transformation on the entire disturbance response dataset, extracts the impedance characteristic information of the split charging pile system from the transformed frequency-domain data, completes the conversion, calibration and feature normalization of impedance parameters, verifies the continuity and operating condition matching of the frequency-domain impedance data, and generates the system impedance spectrum.
[0217] Among them, the system impedance spectrum includes impedance characteristic data of the entire operating system of the split charging pile across the entire frequency range.
[0218] The resonance prediction module monitors system command signals in real time, continuously receiving power expansion call commands from the split charging piles, responding to command trigger logic, and retrieving complete system impedance spectrum data. This module, combined with the electrical topology changes corresponding to the power expansion conditions, corrects, updates, and adapts each electrical parameter of the original admittance matrix, ensuring that the matrix parameters are adapted to the expanded system topology. After completing the global parameter consistency verification, the overall admittance matrix is updated.
[0219] The power expansion call command includes control commands that trigger the split-type charging pile to perform flexible power expansion actions. The admittance matrix includes a set of electrical calculation data formed by integrating multi-band admittance data according to a matrix structure.
[0220] The resonance prediction module relies on the updated admittance matrix to perform full-domain electrical characteristic deduction, comprehensively analyze the electrical operation characteristics of the split charging pile system under the power expansion access condition, mine potential resonance characteristic information inside the system, quantify and regularize the resonance characteristic information, eliminate deviations and integrate features, unify the parameter standards and data dimensions of resonance characteristics, and generate predicted resonance parameters.
[0221] Among them, the predicted resonance parameters include various characteristic parameters that characterize the resonance risk of the split-type charging pile system.
[0222] The damping coordination switching module compares the matching relationship between the predicted resonance parameters and the preset risk conditions, verifies each characteristic index of the predicted resonance parameters, and when it determines that the predicted resonance parameters meet the preset risk conditions, it retrieves the power unit set configured in the split charging pile and activates the virtual damping coordination control mechanism. This module combines the operating status and access characteristics of the power unit set to match the corresponding damping control strategy, completes the coordinated configuration of multi-unit damping parameters and signal integration verification, and generates a damping control signal.
[0223] The preset risk conditions include benchmark parameter standards for determining the system resonance risk level. The power unit set includes summary data of all power units in the split charging pile configuration. The damping control signal includes an overall control signal used to suppress system resonance after incorporating steady-state and transient damping components.
[0224] The damping coordinated switching module continuously monitors the switching process of the power unit set, listens in real time for the switching end signal fed back after the power unit switching action is completed, and after verifying the validity of the switching end signal, retrieves the pre-generated damping control signal and initiates the damping signal attenuation switching process. According to the steady-state switching control specifications, this module performs gradual attenuation and operating condition adaptation switching processing on the damping control signal, completes signal steady-state calibration and operating condition adaptation verification, and generates a steady-state control signal.
[0225] The switching completion signal includes the state feedback signal generated after the power unit set completes the connection switching action. The steady-state control signal includes the control signals used by the system to complete resonance suppression and enter the steady-state operation phase.
[0226] The resonance prediction module 302 is also used for:
[0227] In response to the power expansion call command, the topology change information in the power expansion call command is parsed to obtain the target unit access identifier;
[0228] Based on the target unit access identifier, the corresponding target impedance spectrum is extracted from the pre-stored characteristic library;
[0229] The target impedance spectrum and the system impedance spectrum are fused in the frequency domain admittance to generate a hybrid admittance model.
[0230] A full-band pole scan was performed on the hybrid admittance model to obtain the set of potential resonant points;
[0231] The energy distribution characteristics of the potential resonant point set are quantified to generate predicted resonant parameters.
[0232] The resonance prediction module 302 is also used for:
[0233] The target impedance spectrum is transformed by frequency domain admittance conversion to obtain the target admittance spectrum;
[0234] The system impedance spectrum is transformed by frequency domain admittance conversion to obtain the system admittance spectrum;
[0235] The target admittance spectrum and the system admittance spectrum are band aligned to generate a normalized admittance matrix;
[0236] Based on the influence weights of the expansion unit, the normalized admittance matrix is dynamically weighted and fused to generate a weighted admittance model.
[0237] Phase characteristic correction is performed on the weighted admittance model to generate a hybrid admittance model.
[0238] The damping coordination switching module 303 is also used for:
[0239] When the predicted resonance parameters meet the preset risk conditions, the resonance characteristics of the predicted resonance parameters are extracted to obtain the dominant resonance frequency and energy amplitude.
[0240] The frequency band of the dominant resonant frequency point is adaptively adjusted to generate an adaptive damping frequency band.
[0241] The damping coefficient is dynamically calculated based on the energy amplitude to generate a dynamic damping coefficient.
[0242] Based on the adaptive damping frequency band and dynamic damping coefficient, phase synchronous damping injection is performed on the online units in the power unit set to obtain the steady-state damping component.
[0243] Based on adaptive damping frequency band and dynamic damping coefficient, resistive start-up trajectory planning is performed on the target access unit in the power unit set to generate transient damping components.
[0244] The steady-state damping component and the transient damping component are subjected to coordinated signal fusion processing to generate a damping control signal.
[0245] The damping coordination switching module 303 is also used for:
[0246] Based on adaptive damping frequency bands, multi-band damping component sets are generated;
[0247] Based on the dynamic damping coefficient, the strength of the multi-band damping component set is calibrated to obtain the calibrated damping component set;
[0248] Obtain the startup power curve of the target access unit and generate a time-varying damping ratio sequence;
[0249] Based on the time-varying damping ratio sequence, the calibration damping component set is dynamically weighted and combined to generate the time-varying damping spectrum;
[0250] The time-domain damping spectrum is reconstructed to generate transient damping components.
[0251] The damping coordination switching module 303 is also used for:
[0252] In response to the end signal of switching, the impedance spectrum of the system is calculated in real time to obtain the impedance change rate index;
[0253] The attenuation time constant is dynamically calculated based on the impedance change rate index to generate adaptive attenuation parameters.
[0254] Based on the adaptive attenuation parameter, the damping control signal is subjected to exponential attenuation processing to generate an attenuated damping signal;
[0255] Synchronously perform phase-locking operation on the bus voltage of the charging pile to obtain a phase synchronization reference signal;
[0256] The attenuation damping signal and the phase synchronization reference signal are gradually switched and fused to generate a transition control signal;
[0257] Real-time monitoring of the attenuation damping component in the transition control signal yields the residual energy index.
[0258] When the residual energy index is lower than the preset threshold, the output phase synchronization reference signal is used as the steady-state control signal.
[0259] The impedance spectrum generation module 301 is also used for:
[0260] In response to steady-state operation, a multi-band disturbance signal sequence is generated, wherein each disturbance signal has orthogonal frequency characteristics;
[0261] A multi-band disturbance signal sequence is injected into the charging pile busbar in the time domain to obtain a composite disturbance waveform;
[0262] The bus voltage response under the action of composite disturbance waveforms is acquired synchronously to generate a multi-frequency band voltage response set.
[0263] Synchronously acquire the total current response corresponding to the composite disturbance waveform to generate a multi-frequency band current response set;
[0264] Frequency domain correlation matching is performed on the multi-band voltage response set and the multi-band current response set to generate a disturbance response dataset.
[0265] In one embodiment, this application also provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the steps in the above-described method embodiments.
[0266] In one embodiment, this application also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps in the above-described method embodiments.
[0267] For the device embodiments, since they basically correspond to the method embodiments, the relevant parts can be referred to in the description of the method embodiments. The device embodiments described above are merely illustrative. The components described as separate parts may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this disclosure according to actual needs. Those skilled in the art can understand and implement this without creative effort.
[0268] The above-described embodiments are merely illustrative of several implementation methods of the embodiments of this application, and their descriptions are relatively specific and detailed. However, they should not be construed as limiting the scope of the patent application. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of the embodiments of this application, and these modifications and improvements all fall within the protection scope of the embodiments of this application.
Claims
1. A method for flexible power expansion and dispatching of a split-type charging pile, characterized in that, The method includes: In response to the steady-state operation, a coordinated disturbance injection is performed on the charging pile bus to obtain a disturbance response dataset; the disturbance response dataset is then subjected to time-frequency transformation to generate a system impedance spectrum; In response to the power expansion call command, the admittance matrix is updated based on the system impedance spectrum to generate predicted resonance parameters; When the predicted resonance parameters meet the preset risk conditions, virtual damping coordination is performed on the acquired power unit set to generate a damping control signal; in response to the switching end signal, the damping control signal is attenuated and switched to generate a steady-state control signal.
2. The method for flexible power expansion and dispatching of a split-type charging pile according to claim 1, characterized in that, The step of responding to a power expansion call command by updating the admittance matrix based on the system impedance spectrum and generating predicted resonance parameters includes: In response to the power expansion call command, the topology change information in the power expansion call command is parsed to obtain the target unit access identifier; Based on the target unit access identifier, the corresponding target impedance spectrum is extracted from the pre-stored characteristic library; The target impedance spectrum and the system impedance spectrum are fused in the frequency domain admittance to generate a hybrid admittance model. A full-band pole scan was performed on the hybrid admittance model to obtain a set of potential resonant points; The energy distribution characteristics of the potential resonant point set are quantified to generate the predicted resonant parameters.
3. The method for flexible power expansion and dispatching of a split-type charging pile according to claim 2, characterized in that, The step of fusing the target impedance spectrum and the system impedance spectrum in the frequency domain to generate a hybrid admittance model includes: The target impedance spectrum is transformed by frequency domain admittance conversion to obtain the target admittance spectrum; The system impedance spectrum is transformed by frequency domain admittance conversion to obtain the system admittance spectrum; The target admittance spectrum and the system admittance spectrum are subjected to frequency band alignment processing to generate a normalized admittance matrix; Based on the influence weights of the expansion units, the normalized admittance matrix is dynamically weighted and fused to generate a weighted admittance model. The weighted admittance model is subjected to phase characteristic correction processing to generate the hybrid admittance model.
4. The method for flexible power expansion and dispatching of a split-type charging pile according to claim 1, characterized in that, When the predicted resonance parameters meet the preset risk conditions, virtual damping coordination is performed on the acquired power unit set to generate a damping control signal, including: When the predicted resonance parameters meet the preset risk conditions, the resonance features of the predicted resonance parameters are extracted to obtain the dominant resonance frequency and energy amplitude. The dominant resonant frequency point is adaptively adjusted to generate an adaptive damping frequency band; The damping coefficient is dynamically calculated for the energy amplitude to generate a dynamic damping coefficient; Based on the adaptive damping frequency band and the dynamic damping coefficient, phase synchronous damping injection is performed on the online units in the power unit set to obtain the steady-state damping component. Based on the adaptive damping frequency band and the dynamic damping coefficient, resistive start-up trajectory planning is performed on the target access unit in the power unit set to generate transient damping components. The steady-state damping component and the transient damping component are subjected to coordinated signal fusion processing to generate the damping control signal.
5. The method for flexible power expansion and dispatching of a split-type charging pile according to claim 4, characterized in that, The step of planning the resistive start-up trajectory of the target access unit in the power unit set based on the adaptive damping frequency band and the dynamic damping coefficient, and generating transient damping components, includes: Based on the aforementioned adaptive damping frequency band, a multi-band damping component set is generated; Based on the dynamic damping coefficient, the intensity of the multi-band damping component set is calibrated to obtain the calibrated damping component set; Obtain the startup power curve of the target access unit and generate a time-varying damping ratio sequence; Based on the time-varying damping ratio sequence, the calibrated damping component set is dynamically weighted and combined to generate a time-varying damping spectrum; The time-varying damping spectrum is reconstructed in the time domain to generate the transient damping component.
6. The method for flexible power expansion and dispatching of a split-type charging pile according to claim 1, characterized in that, In response to the end-of-switching signal, the damping control signal is attenuated and switched to generate a steady-state control signal, including: In response to the end signal of switching, the impedance spectrum of the system is calculated in real time to obtain the impedance change rate index; Based on the impedance change rate index, the attenuation time constant is dynamically calculated to generate adaptive attenuation parameters. Based on the adaptive attenuation parameter, the damping control signal is subjected to exponential attenuation processing to generate an attenuated damping signal. Synchronously perform phase-locking operation on the bus voltage of the charging pile to obtain a phase synchronization reference signal; The attenuation damping signal and the phase synchronization reference signal are gradually switched and fused to generate a transition control signal; Real-time monitoring of the attenuation damping component in the transition control signal yields the residual energy index. When the residual energy index is lower than a preset threshold, the phase synchronization reference signal is output as the steady-state control signal.
7. The method for flexible power expansion and dispatching of a split-type charging pile according to claim 1, characterized in that, The response to the steady-state operation involves a coordinated disturbance injection into the charging pile busbar to obtain a disturbance response dataset, including: In response to steady-state operation, a multi-band disturbance signal sequence is generated, wherein each disturbance signal has orthogonal frequency characteristics; The charging pile busbar is subjected to time-domain interleaving injection of the multi-band disturbance signal sequence to obtain a composite disturbance waveform; The bus voltage response under the combined disturbance waveform is acquired synchronously to generate a multi-band voltage response set. The total current response corresponding to the composite disturbance waveform is acquired synchronously to generate a multi-band current response set. The disturbance response dataset is generated by performing frequency domain correlation matching on the multi-band voltage response set and the multi-band current response set.
8. A power flexible expansion and dispatch system for a split-type charging pile, characterized in that, The system includes: The impedance spectrum generation module is used to inject a coordinated disturbance into the charging pile bus in response to the steady-state operation state to obtain a disturbance response dataset; the disturbance response dataset is then subjected to time-frequency transformation to generate the system impedance spectrum. The resonance prediction module is used to update the admittance matrix based on the system impedance spectrum and generate predicted resonance parameters in response to the power expansion call command. The damping coordination switching module is used to perform virtual damping coordination on the acquired power unit set when the predicted resonance parameters meet the preset risk conditions, and generate a damping control signal; in response to the switching end signal, the damping control signal is attenuated and switched to generate a steady-state control signal.
9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the power elastic expansion and recall method for a split-type charging pile according to any one of claims 1 to 7.
10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the steps of the power elastic expansion and recall method for a split-type charging pile according to any one of claims 1 to 7.