Electromagnetic parameter configurable structure simulation method for ceramic packaged high-voltage direct current contactor

Abstract

The application relates to the technical field of electromagnetic simulation, in particular to a kind of electromagnetic parameter configurable structure simulation method of ceramic packaging high-voltage direct-current contactor. The method comprises the following steps: obtaining the geometric model of the ceramic packaging high-voltage direct-current contactor, measuring the time interval of the induced current generated by the magnetic ring after the main coil is energized under standard test conditions, and recording it as the induced delay reference value; when the contactor performs each switching action, the time interval between the energization of the main coil and the generation of the induced current in the magnetic ring in this action is monitored in real time, compared with the induced delay reference value, and the deviation degree sequence of each action is obtained; the synchronism of the moving iron core attraction process is judged according to the deviation degree sequence, the expected attraction force value of the moving iron core is reduced when the delay deviation degree increases, and the actual attraction force is generated. The application establishes a performance evaluation system based on induced delay, and converts the originally complex multi-physical field problem into a measurable time parameter.

Description

Technical Field

[0001] This invention relates to the field of electromagnetic simulation technology, and in particular to a method for configurable electromagnetic parameter simulation of a ceramic-encapsulated high-voltage DC contactor. Background Technology

[0002] A contactor is a low-voltage switching device that controls a high-voltage circuit. Those used in high-voltage, high-current scenarios are generally called contactors, while those used in low-voltage, low-current scenarios are called relays. A DC contactor is a non-contact control (electromagnetic drive) DC circuit switching device used to safely connect or disconnect high-power DC loads. It is suitable for frequent operation, remote control, and applications requiring reliable arc suppression. Its main applications include new energy-related infrastructure (charging piles), new energy / hybrid vehicles, battery charging systems, photovoltaic systems, renewable energy storage, high-power DC equipment, and general industrial equipment.

[0003] Traditional contactor design methods primarily rely on empirical formulas and static calculations. Designers typically calculate the parameters of the electromagnetic, mechanical, and thermal systems independently, then simply superimpose the effects of each system. This approach has the following technical drawbacks: First, it ignores the dynamic coupling relationships between the various physical fields. In actual operation, the magnetic field generated by the main coil induces a current in the distribution magnetic ring. The generation of this induced current has a time delay, and the magnitude of this delay directly affects the attraction characteristics of the moving iron core. Traditional methods cannot capture this timing relationship, leading to significant deviations between simulation results and actual performance. Second, it lacks an adaptive parameter adjustment mechanism. When the contactor's operating conditions change, such as an increase in ambient temperature or fluctuations in power supply voltage, traditional simulation methods cannot automatically adjust the relevant parameters, requiring extensive recalculation. This not only increases the design cycle but may also cause product failure under certain operating conditions due to improper parameter selection. Summary of the Invention

[0004] Based on this, it is necessary for the present invention to provide a configurable electromagnetic parameter structure simulation method for ceramic-encapsulated high-voltage DC contactors to solve at least one of the above-mentioned technical problems.

[0005] To achieve the above objectives, a configurable electromagnetic parameter simulation method for ceramic-encapsulated high-voltage DC contactors is proposed, comprising the following steps:

[0006] Step S1: Obtain the geometric model of the ceramic packaged high voltage DC contactor. Under standard test conditions, measure the time interval between the generation of induced current in the magnetic ring after the main coil is energized and record it as the induction delay reference value.

[0007] Step S2: When the contactor performs each switching action, monitor in real time the time interval between the main coil being energized and the induced current being generated by the magnetic ring in that action, and compare it with the induction delay reference value to obtain the deviation sequence of each action;

[0008] Step S3: Determine the synchronicity of the moving iron core's attraction process based on the deviation degree sequence. When the delay deviation increases, reduce the expected attraction force value of the moving iron core to generate the actual attraction force.

[0009] Step S4: Accumulate the changes in the actual attraction force during the stroke of the moving iron core to obtain the cumulative force value of the attraction process; determine the reliability of the contact closure based on the magnitude of the cumulative force value.

[0010] Step S5: When the reliability does not meet the requirements, adjust the air gap distance between the moving iron core and the magnetic sheet and the winding of the coil until the reliability meets the preset requirements, and output the final structural configuration scheme.

[0011] This method establishes a closed-loop process from baseline measurement to online monitoring and iterative structural adjustment, achieving quantifiable, traceable, and adaptive optimization of the engagement process of ceramic-encapsulated high-voltage DC contactors. First, a consistent induction delay benchmark, verified by three repeated measurements, ensures the stability and repeatability of the time baseline. When consistency is not met, controlled retesting (including checks on ambient temperature, step rise time, and relative position) is enforced, reducing the impact of measurement errors and environmental interference at the source. Second, the energization start time and magnetic ring response time of each switching action are recorded in real time and compared with the benchmark to form a time-series deviation sequence. This allows for rapid identification and classification of abnormal behaviors (severe lag, slight lag, normal, excessive lead), providing a quantitative basis for subsequent decision-making. Third, the engagement synchronization of the moving iron core is graded based on statistical judgments of the most recent actions, and different multiples of engagement force are used accordingly to correct the issue. The positive strategy enables the expected pull-in force curve to dynamically match the actual working state, thereby anticipating and compensating for synchronization deviations at the simulation level. Subsequently, by dividing the stroke into intervals, calculating the average force and passage time of each interval, and accumulating them to obtain the force integral index, the reliability of contact closure is accurately determined using upper and lower limit thresholds. This can identify poor contact caused by insufficient energy and also detect the impact or ablation risks that may be caused by excessive pull-in. A step-by-step executable structural adjustment strategy is proposed: when unreliable, first fine-tune the air gap and re-evaluate; if it is ineffective after multiple consecutive attempts, increase the number of coil turns to increase the excitation; when excessive, appropriately increase the air gap to buffer overshoot. Each adjustment is recorded and subject to assembly and safety constraints, ensuring that the solution is manufacturable and does not exceed safety limits. Overall, this method transforms qualitative experience into quantitative indicators and executable parameter adjustment rules, which can significantly reduce the repeated trial and error costs of debugging and trial production, improve the consistency and lifespan of contact closure, enhance the operational stability under high voltage and high current conditions, and provide clear parameter basis and historical traceability records for design verification before mass production, production release, and in-service maintenance. Attached Figure Description

[0012] Other features, objects, and advantages of the invention will become more apparent from the following detailed description of non-limiting embodiments with reference to the accompanying drawings:

[0013] Figure 1 This is a schematic diagram of the steps in the electromagnetic parameter configurable structure simulation method for the ceramic-encapsulated high-voltage DC contactor of the present invention.

[0014] Figure 2 This is a schematic diagram of the overall structure of a ceramic-encapsulated high-voltage DC contactor according to an embodiment of the present invention;

[0015] Figure 3 This is a timing waveform diagram of induction delay measurement according to an embodiment of the present invention. Detailed Implementation

[0016] The technical method of the present invention will now be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without inventive effort are within the scope of protection of the present invention.

[0017] Furthermore, the accompanying drawings are merely illustrative of the invention and are not necessarily drawn to scale. The same reference numerals in the drawings denote the same or similar parts, and therefore repeated descriptions of them will be omitted. Some block diagrams shown in the drawings are functional entities and do not necessarily correspond to physically or logically independent entities. These functional entities can be implemented in software, in one or more hardware modules or integrated circuits, or in different network and / or processor methods and / or microcontroller methods.

[0018] It should be understood that although the terms "first," "second," etc., may be used herein to describe various units, these units should not be limited by these terms. These terms are used merely to distinguish one unit from another. For example, without departing from the scope of the exemplary embodiments, a first unit may be referred to as a second unit, and similarly, a second unit may be referred to as a first unit. The term "and / or" as used herein includes any and all combinations of one or more of the associated listed items.

[0019] To achieve the above objectives, please refer to Figures 1 to 3 This invention provides a method for configurable electromagnetic parameter structure simulation of a ceramic-encapsulated high-voltage DC contactor, the method comprising the following steps:

[0020] Step S1: Obtain the geometric model of the ceramic packaged high voltage DC contactor. Under standard test conditions, measure the time interval between the generation of induced current in the magnetic ring after the main coil is energized and record it as the induction delay reference value.

[0021] Step S2: When the contactor performs each switching action, monitor in real time the time interval between the main coil being energized and the induced current being generated by the magnetic ring in that action, and compare it with the induction delay reference value to obtain the deviation sequence of each action;

[0022] Step S3: Determine the synchronicity of the moving iron core's attraction process based on the deviation degree sequence. When the delay deviation increases, reduce the expected attraction force value of the moving iron core to generate the actual attraction force.

[0023] Step S4: Accumulate the changes in the actual attraction force during the stroke of the moving iron core to obtain the cumulative force value of the attraction process; determine the reliability of the contact closure based on the magnitude of the cumulative force value.

[0024] Step S5: When the reliability does not meet the requirements, adjust the air gap distance between the moving iron core and the magnetic sheet and the winding of the coil until the reliability meets the preset requirements, and output the final structural configuration scheme.

[0025] See Figure 2 The simulation method of this invention is applied to a ceramic-encapsulated high-voltage DC contactor, which includes key components such as a ceramic cover, stationary contacts, moving contacts, contact springs, reaction springs, a moving iron core, a shaft, and magnetic conductive sheets. When establishing the geometric model in step S1, parametric modeling of each component shown in the figure is required. The relative positional relationship between the moving iron core and the surrounding magnetic conductive sheets directly affects the induction characteristics of the magnetic distribution ring and is a key structure for determining the reference value of the induction delay. The process of the arc being elongated under the action of a magnetic field occurs in the hydrogen environment inside the ceramic cover; this region is the electromagnetic field distribution area of ​​focus in the simulation. The magnetic distribution ring mentioned in this method refers to the functional description of the magnetic conductive structure component surrounding the moving iron core. The magnetic distribution ring (also called an "auxiliary magnetic ring" or "shunt magnetic ring") is a magnetically / conductive component installed near the magnetic circuit of the main coil. Its function is to share a portion of the magnetic flux and induce current under the action of the electromagnetic field. The magnetically / conductive ring structure of the magnetic distribution ring, located near the magnetic circuit of the main coil, is used to generate an induced current when the main coil is energized, so as to perform delay measurement.

[0026] During the simulation process of steps S2 to S3, the movement trajectory of the moving iron core starts from the compression position of the reaction spring, passes through the shaft transmission, and finally brings the moving contact plate into contact with the stationary contact. The method of this invention can accurately assess the impact of synchronization on the attraction process by monitoring the actual attraction force of the moving iron core at different displacement points, especially at the critical position where the contact spring begins to compress. When the moving iron core is located in the middle position shown in the figure, the induced current of the magnetic ring reaches its peak value; the delay time measured at this point is a key parameter for judging the system's response characteristics.

[0027] When calculating the cumulative force value in step S4, the stroke of the moving iron core is divided into ten intervals, from the maximum compression position of the reaction spring to the maximum compression position of the contact spring. The attraction force corresponding to each interval needs to overcome the resistance of the reaction spring and provide sufficient force to compress the contact spring at the end of the stroke. The method of this invention quantitatively evaluates the energy transfer efficiency of the entire attraction process by accumulating the force contribution value of each interval.

[0028] Furthermore, step S1 includes the following steps:

[0029] Step S11: Obtain the geometric model of the ceramic-encapsulated high-voltage DC contactor;

[0030] In one embodiment, the three-dimensional design file (e.g., CAD / STEP) of the entire ceramic-encapsulated high-voltage DC contactor is imported into electromagnetic field simulation software. The material properties and geometric dimensions of each structural component are checked and labeled. The positional relationship and magnetic gap size of the main coil, the magnetic ring, the moving iron core, the magnet, and the ceramic encapsulation are confirmed. For example, the STEP file is exported using a three-dimensional modeling tool and then imported into electromagnetic finite element simulation software to check whether parameters such as the number of coil turns, winding cross-section, and hysteresis characteristics of the magnetic material are correctly mapped into the simulation model.

[0031] It should be noted that the geometric model should include all details related to electromagnetic coupling (such as the geometry of the magnetic gap and the sub-magnetic ring), otherwise the simulation results will produce systematic deviations.

[0032] Step S12: Set the initial current of the main coil in the geometric model to zero, set the initial induced current of the magnetic ring to zero, set the ambient temperature to 25 degrees Celsius, and let the model stand still for 30 seconds to allow each component to reach a stable state.

[0033] In one embodiment, the coil current and loop current are set to zero in the initial simulation conditions, the steady temperature field is set to 25°C, and a steady-state or short-time transient simulation is run for 30 seconds to eliminate the initial transient. For example, in the simulation settings, a static magnetic / thermal coupling solution is run for 30 seconds to stabilize the material hysteresis, temperature field, and boundary conditions.

[0034] It should be noted that the "30-second resting time" can be adjusted according to the electromagnetic time constant and thermal time constant of the system. The equivalent operation on the experimental platform is to let the prototype stand for the same amount of time in an environment of 25°C to ensure that the temperature and residual magnetic field are stable.

[0035] Step S13: In a stable state, apply a step voltage signal to the main coil, record the moment the voltage is applied as the start time, and start the time recorder to begin timing.

[0036] In one embodiment, step S13: In a steady state, a step voltage signal is applied to the main coil, and the moment the voltage is applied is recorded as the start time. Simultaneously, a time recorder is started to begin timing. In implementation, during simulation or testing, the main coil input is switched from 0V to the rated test voltage / current with an instantaneous step (or the shortest possible rise time), and the time reference is set at the instant of this switching. Note; for example, you can apply the device's rated drive voltage (e.g., the drive voltage selected according to design rules, such as 12V / 24V or others), and set the rise time to <1ms in the simulation, and record it. .

[0037] It should be noted that if the step has a non-zero rise time, the "start time" should be explicitly defined as the time when the voltage reaches the predetermined trigger threshold (e.g., 1% of the rated value) to maintain consistency with subsequent measurements.

[0038] Step S14: Continuously monitor the current value in the magnetic ring. When the current value is detected to rise from zero and reach the preset threshold of the steady-state current of the main coil, record the time of this moment as the induction start time.

[0039] In one embodiment, step S14: continuously monitor the current value in the magnetic ring. When the monitored current value rises from zero and reaches a preset threshold of the steady-state current of the main coil, record the time of this moment as the induction start time. Specifically, during the simulation, record the loop current of the magnetic ring at a high sampling rate and set a judgment threshold (which can be a proportional relationship with the steady-state current of the main coil). For example, the threshold can be set to 1% of the steady-state current of the main coil. When the current of the magnetic ring first reaches or exceeds this threshold, record the moment. .

[0040] It should be noted that, in order to suppress noise-induced false triggering, short-time moving average or low-pass filtering is often used, and the "first arrival" condition is clearly defined to avoid multiple triggering caused by ringing or jitter.

[0041] Furthermore, step S1 also includes the following steps:

[0042] Step S15: Calculate the time difference between the start time and the start time of sensing, and record this time difference as the first measurement value;

[0043] In one embodiment, after performing the previous step, use Obtain the delay time for this experiment and record the value in the measurement record; for example, if =0s、 =0.0032s, then the first measurement value is recorded as 3.2ms; it should be noted that the measurement accuracy is affected by the sampling rate and the timer resolution. It is recommended that the sampling frequency be much higher than the reciprocal of the measured delay to ensure millisecond-level or higher accuracy.

[0044] Step S16: Return the main coil current to zero, wait for the induced current of the magnetic ring to completely disappear, and repeat steps S13 to S15 to obtain the second and third measurement values.

[0045] In one embodiment, after a measurement is completed, the drive power supply is set to zero and the magnetic ring current is allowed to decay to below the noise threshold (or less than several times the threshold). After confirming that the system has returned to the initial conditions, a step is applied again and the second and third delays are recorded. For example, in the simulation, several electromagnetic time constants (e.g., 5 to 10 time constants) are waited until the magnetic ring current is less than 0.1% of the induction threshold, and then the measurement is repeated twice to obtain three independent samples.

[0046] It should be noted that if there is significant residual magnetism or hysteresis effect, a demagnetization or reverse excitation step should be added between the two tests to eliminate the historical influence.

[0047] Step S17: Calculate the arithmetic mean of the first, second, and third measurements. If the difference between the maximum and minimum values ​​among the three measurements is less than 5% of the average, then the arithmetic mean is calculated. When this average value is reached, it is determined as the reference value for sensing delay.

[0048] In one embodiment, the arithmetic mean is calculated. Then calculate the range If ratio < 0.05, then mean is taken as a reliable reference value for sensing delay and recorded. For example, if three measurements are 3.10ms, 3.15ms and 3.20ms, then mean = 3.15ms, the range difference is 0.10ms, ratio ≈ 3.17%, which meets the criterion of less than 5%, and thus 3.15ms is determined as the reference value.

[0049] It should be noted that if the 5% condition is not met, noise, grid / step size or experimental instability factors should be investigated. You can choose to increase the number of repetitions, use the median or recalculate after removing outliers, or modify the simulation / experiment settings to obtain a stable baseline.

[0050] Of particular importance is that step S17 specifically includes:

[0051] When calculating the arithmetic mean of three measurements, the first, second, and third measurements are added together and then divided by three to obtain a preliminary average.

[0052] Examine the maximum and minimum values ​​among the three measurements, calculate the difference between them, divide the difference by the preliminary average value, and obtain the relative deviation.

[0053] When the relative deviation is less than 5 At that time, the initial average value is determined as the reference value for sensing delay;

[0054] When the relative deviation is greater than or equal to 5 If necessary, remeasure until a reference value for the sensing delay that meets the consistency requirements is obtained.

[0055] In one embodiment, the first, second, and third measurements are added together and divided by three to obtain a preliminary average value, which is then recorded as a baseline candidate in the measurement table. For example, if the three measurements are 3.10 milliseconds, 3.15 milliseconds, and 3.20 milliseconds, the preliminary average value is 3.15 milliseconds. The maximum and minimum values ​​among the three measurements are identified, and the difference between them is calculated. This difference is then divided by the aforementioned preliminary average value to obtain the relative deviation expressed as a percentage. For example, in the above example, the difference between the maximum and minimum values ​​is 0.10 milliseconds, which, when divided by the preliminary average of 3.15 milliseconds, yields approximately 3.17%, less than 5%. When the calculated relative deviation is less than 5%, the preliminary average value is confirmed to meet the consistency requirements. This preliminary average value is then determined as the induction delay baseline value and archived, with the reason for the determination, timestamp, and test conditions noted in the record. For example, the aforementioned 3.15 milliseconds is confirmed as the baseline value and written into the baseline table. When the relative deviation is greater than or equal to 5%, the preliminary average value is not accepted, and a remeasurement procedure is initiated, repeatedly executing the measurement until a baseline value that meets the consistency requirements is obtained. For example, if three measurements are 3.00, 3.80, and 3.60 milliseconds, the initial average is approximately 3.47 milliseconds. The difference between the maximum and minimum is approximately 0.80 milliseconds, which is about 23%, and a remeasurement should be triggered.

[0056] It should be noted that in engineering implementation, it is recommended to set up a reasonable retesting strategy (such as recording the number of retests and marking the exception and performing manual review when the results are still inconsistent after multiple retests) to prevent infinite loops.

[0057] Of particular importance, the remeasurement includes:

[0058] Check and adjust the test conditions to ensure the ambient temperature is maintained at 25 degrees Celsius. Within the specified range, confirm that the rise time of the step voltage signal of the main coil is less than 0.1 milliseconds, confirm that the relative position of the magnetic ring and the main coil has not shifted, and after the adjustment is completed, repeat steps S13 to S16 until a reference value for induction delay that meets the consistency requirements is obtained.

[0059] In one embodiment, the specific calibration actions for re-measurement include, but are not limited to: confirming and controlling the ambient temperature at 25°C ± 1°C (using a constant temperature chamber or a calibrated thermometer), confirming that the rise time of the step voltage signal applied to the main coil is less than 0.1 milliseconds (measuring with an oscilloscope and adjusting the drive source or using a faster signal source), and confirming that the relative position of the magnetic ring and the main coil has not shifted (checking with mechanical gauges or a displacement sensor and resetting to the design position); after completing these checks and necessary adjustments, repeat steps S13 to S16 to perform a new round of three measurements until the consistency requirements are met and the final reference value is obtained. For example, if the ambient temperature is 27°C, first move the test bench into a constant temperature environment and restore it to 25 ± 1°C; if the drive rise time is 0.5 milliseconds, replace or adjust the drive to make the rise time less than 0.1 milliseconds before measuring again.

[0060] It should be noted that when re-measuring, attention should be paid to eliminating the influence of residual magnetism (demagnetizing if necessary or waiting for sufficient stabilization time), ensuring that the same initial conditions exist between each measurement, and recording every adjustment made throughout the process for traceability.

[0061] See Figure 3 The figure displays three curves from top to bottom: the main coil voltage, the main coil current, and the sub-magnetic ring current, as a function of time. The top curve represents the main coil voltage. The voltage was maintained at 0V until the system triggered the switching command. The main coil voltage then... The voltage instantly jumps to the rated drive voltage of 24V and remains constant throughout the entire operation. The application of this step voltage signal marks the official start of the switching action. The time is also known as the "start time" or "power-on start time".

[0062] Main coil current curve (middle): In The current gradually increases after a certain time, fluctuates around 2ms (corresponding to the start of movement of the moving iron core), and finally stabilizes at a steady-state current of about 2A.

[0063] The current curve of the magnetic ring (bottom): There is a delayed response after the main coil is energized, reaching... The current rises to a preset threshold (approximately 0.02A, or 1% of the steady-state current of the main coil) at a certain moment, then reaches its peak and gradually decays. The horizontal dashed line in the figure marks the threshold position.

[0064] Sensing delay time : Top label of the figure This refers to the time interval between the main coil being energized and the induced current being generated in the distribution magnetic ring. As can be seen from the diagram, Approximately 1ms The actual delay is approximately 1ms, which is about 2ms. This delay value is the "measured delay value". By comparing it with the reference value, the synchronicity of the moving iron core's attraction process can be determined.

[0065] Furthermore, step S2 includes the following steps:

[0066] Step S21: Start the simulation based on the geometric model, set the trigger conditions for the contactor to perform the switching action, and mark the switching action sequence number when the trigger conditions are met;

[0067] In one embodiment, a constructed and validated 3D geometric and material model is loaded into an electromagnetic-motion coupling simulation environment. Triggers are configured (which can be any or a combination of external control commands, preset timetables, moving core position thresholds, or electrical signal edges), and each trigger is assigned a unique action sequence number (e.g., an auto-incrementing integer ID) and an event timestamp. All action information is written to an event log for subsequent tracking and backtracking. For example, the simulation can be set to receive a switching command at t=0.5s and record this event as action sequence number 1.

[0068] It should be noted that the triggering conditions should remain deterministic and avoid re-entry (e.g., prohibit repeated triggering if the previous action has not been completed) to avoid confusing the correspondence between sequence numbers and measurements.

[0069] Step S22: When the contactor performs a switching action, detect the moment when the main coil voltage rises from zero to the preset threshold value and record it as the energization start time of this action;

[0070] In one embodiment, the main coil voltage is sampled at high resolution on the simulation or experimental measurement link, and a "preset threshold for rated value" is predefined in the parameter settings (which can be a fixed percentage of the rated voltage, such as 1% or other engineering-agreed percentages). When the voltage first reaches this threshold, the time is marked as the start of energization. And record it in the event table. For example, if the design drive voltage is 24V and the threshold is set to 1%, the event is recorded when the first sampling point with a voltage ≥ 0.24V is sampled. .

[0071] It should be noted that if the driver has a considerable rise time, the definition of "reaching the threshold" should be written into the simulation configuration to ensure consistency with other steps (such as the definition of the start time in step S13).

[0072] Step S23: Starting from the moment of energization, continuously monitor the current change of the magnetic ring. When the magnetic ring current rises from zero and first reaches 1 / 3 of the steady-state current of the main coil... At that moment, the sensor response time for this action is recorded;

[0073] In one embodiment, the current of the sub-magnetic ring is recorded at a high sampling rate, and a judgment threshold is set in the numerical calculation and modeling tool (here, consistent with the previous steps, 1% of the steady-state current of the main coil is used as the trigger ratio). When the sub-magnetic ring current first meets the threshold condition after filtering or short-time moving average, it is recorded. For example, if the steady-state current of the main coil is 2A, then the threshold is 0.02A. The induction response time is recorded when the current of the sub-magnetic ring rises from the noise floor and first reaches or exceeds 0.02A. It should be noted that, to prevent ringing or transient noise from triggering the circuit, short-time filtering and robust decision logic such as "first sustained exceedance of the threshold for N sampling points" are usually applied simultaneously.

[0074] Step S24: Calculate the time difference between the induction response time and the power-on start time, and record the time difference as the measured delay value of this action;

[0075] In one embodiment, using Get the delay value of this action The timeout is recorded in milliseconds or microseconds in the action log entry, along with the sampling rate, timer resolution, and error estimate for subsequent analysis. For example, if the power-on start time of this action is 1.000000s and the sensing response time is 1.003200s, then the measured delay value is recorded as 3.2ms.

[0076] It should be noted that measurement accuracy is affected by the sampling rate and timer resolution. It is recommended to ensure that the sampling frequency is much higher than the reciprocal of the expected delay in order to reduce quantization error.

[0077] Step S25: Compare the measured delay value with the induction delay reference value and associate it with the corresponding switching action sequence number to obtain the deviation sequence of each action.

[0078] In one embodiment, the action log includes additional fields for each record: measured delay, baseline delay (from step S17), delay difference (measured - baseline), relative deviation ratio (difference / baseline), and action sequence number and timestamp. These records are linked together in chronological order to form a sequence of deviation levels for subsequent determination of synchronization and attraction force correction. For example, if the baseline is 3.15ms and the measured delay is 3.90ms, then the difference of 0.75ms and the relative deviation of approximately 23.8% are recorded, and this record is appended as an entry for action sequence number 7.

[0079] It should be noted that if a valid baseline value is not yet determined in the system, it should be marked as "baseline missing" or not included in the deviation statistics for the time being; subsequent steps (such as S251-S254) will further calculate the deviation ratio and classify it based on these original records.

[0080] Furthermore, step S25 includes the following steps:

[0081] Step S251: Calculate the delay difference as the measured delay value minus the inductive delay reference value;

[0082] In one embodiment, the measured delay recorded for each switching action is retrieved. Compared with the sensing delay reference value from step S17 Perform interpolation And save it as this field in milliseconds or microseconds. For example, if the actual measured delay is 3.90ms and the baseline is 3.15ms, then 0.75ms and record it in the table.

[0083] It should be noted that a positive difference indicates that the measured value lags behind the benchmark, while a negative difference indicates that the measured value leads the benchmark. When saving, the timestamp and sampling rate should be recorded simultaneously for error assessment.

[0084] Step S252: When the delay difference is positive, divide the delay difference by the sensing delay reference value to obtain the positive deviation ratio; when the delay difference is negative, divide the absolute value of the delay difference by the sensing delay reference value to obtain the negative deviation ratio.

[0085] In one embodiment, step S252: when the delay difference is positive, the delay difference is divided by the sensing delay reference value to obtain a positive deviation ratio; when the delay difference is negative, the absolute value of the delay difference is divided by the sensing delay reference value to obtain a negative deviation ratio. Specifically, this involves calculating the ratio value. (Save as a decimal or percentage), and according to The symbol is marked as "positive deviation ratio" or "negative deviation ratio". For example, in the example above... The recorded positive deviation percentage is 23.81%; if the measured value is 2.50ms and the reference value is 3.15ms, then... The negative deviation ratio is approximately 20.63% (0.65 / 3.15).

[0086] It should be noted that confirmation must be made first. (Or minimum threshold protection has been implemented) to avoid division by zero; when recording proportions, appropriate decimal places can be retained as needed and the rounding rules can be noted.

[0087] Step S253: Determine the degree of delay deviation based on the proportion of negative deviation and the proportion of positive deviation;

[0088] In one embodiment, the proportion value obtained in the previous step is compared with a preset threshold and classified according to the threshold rules described above: when the positive deviation proportion is greater than 20%, it is recorded as "severe lag"; when the positive deviation proportion is between 5% and 20%, it is recorded as "mild lag"; when the positive or negative deviation proportion is less than 5%, it is recorded as "normal"; and when the negative deviation proportion is greater than 20%, it is recorded as "excessive lead". For example, 23.81% (positive) is classified as "severe lag" and 20.63% (negative) is classified as "excessive lead".

[0089] It should be noted that if the proportion falls exactly on the boundary (e.g., exactly 5% or 20%), the boundary handling strategy pre-defined by the system should be followed (suggested rule example: <5% is considered normal, ≥5% and <20% is considered mild lag, and ≥20% is considered severe lag; the same applies to the negative to determine excessive lead).

[0090] Step S254: Establish a correlation record between the switch action sequence number and the corresponding delay deviation degree to form a deviation degree sequence.

[0091] In one embodiment, a structured record is generated for each action (fields such as: action sequence number, timestamp, power-on start time). Sensing response time Actual delay Baseline, delay difference , deviation ratio The deviation direction (positive / negative), deviation category (normal / mild lag / severe lag / excessive lead), sampling rate, and filtering parameters are written to a log or database in chronological order, thus forming a sequence of deviation levels that can be read by subsequent steps. For example, a record might be: {Sequence Number: 7,} 1.000000s, 1.003900s, 3.90ms 3.15ms :0.75ms, r:23.81%, Category: Severe Lag}.

[0092] It should be noted that, for the convenience of statistics and backtracking, the original waveform or sufficient sample segments should be saved for subsequent verification, and any abnormalities (such as missing measurements or noise interference) should be noted in the record.

[0093] Furthermore, step S253 specifically includes:

[0094] When the positive deviation ratio is greater than 20 When the delay deviation is recorded as severe lag;

[0095] When the positive deviation ratio is 5 By 20 When the time interval is between, the degree of delay deviation is recorded as slight lag;

[0096] When the proportion of positive deviation or negative deviation is less than 5 When the delay deviation is normal, the degree of deviation is recorded as normal.

[0097] When the negative deviation ratio is greater than 20 When the delay deviation is excessive, it is recorded as excessive lead.

[0098] In one embodiment, the difference between the measured delay value and the baseline delay value is first compared. If the difference is large, exceeding one-fifth of the baseline value, the action is classified as severely delayed and marked as high priority in the record. For example, if the baseline delay value is 3.15 milliseconds and a measured delay value is 3.90 milliseconds, the difference is 0.75 milliseconds, which is about 23% of the baseline. Therefore, this action is considered severely delayed. Once the difference is confirmed to be greater than zero, it is determined whether the ratio of the difference to the baseline is between 5% and 20%. If it is, it is recorded as slightly delayed. For example, if the baseline delay value is 3.15 milliseconds and a measured delay value is 3.50 milliseconds, the difference is 0.35 milliseconds, which is about 11% of the baseline. Therefore, it is considered slightly delayed. Regardless of whether the difference is positive or negative, as long as the ratio of the difference to the baseline is less than 5%, the deviation is very small and within the normal range. For example, if the baseline latency is 3.15 milliseconds and a measured latency is 3.18 milliseconds, the difference is 0.03 milliseconds, less than one percent of the baseline, and therefore considered normal. If the measured latency is earlier than the baseline, then it is determined whether the advance exceeds one-fifth of the baseline value. If it does, it is considered excessively advanced. For example, if the baseline latency is 3.15 milliseconds and a measured latency is 2.50 milliseconds, the difference is 0.65 milliseconds, exceeding twenty percent, and therefore considered excessively advanced.

[0099] It should be noted that this invention does not explicitly classify cases where the advance margin is between 5% and 20%. In practical engineering applications, a category of "slightly ahead" can be added as needed, or it can be marked separately as an action that "requires attention".

[0100] Furthermore, step S3 includes the following steps:

[0101] Step S31: Read the expected attraction force values ​​of the moving iron core at different displacement points to form the expected attraction force curve;

[0102] In one embodiment, the expected pull force value is read point by point from the simulation model or design data table according to pre-defined displacement sampling points (e.g., dividing the stroke into ten equal points or according to finer displacement steps), and a curve is plotted with displacement as the horizontal axis and pull force as the vertical axis for subsequent comparison and correction. For example, if the moving iron core stroke is divided into ten equal parts, the pull force at the starting point of each part is read, such as 0.2 N for the first interval, 0.6 N for the second interval, etc., and a expected curve is plotted.

[0103] It should be noted that the data read can be discrete points, and simple interpolation or smoothing should usually be performed to obtain a continuous curve. The units and sampling intervals should be kept consistent to avoid subsequent calculation errors.

[0104] Step S32: Extract the delay deviation of the most recent five switching actions from the deviation degree sequence, and count the number of severe lags, mild lags, normal lags, and excessive leads.

[0105] In one embodiment, the five most recent records are retrieved from the action log in chronological order (or all existing records if there are fewer than five instances). The categorized deviation types in each record are read, and the frequency of occurrence for each of the four types is counted and saved as statistical results for judgment. For example, if the deviation types for the five most recent instances are "normal, slight lag, severe lag, slight lag, normal", the statistical results would be: severe lag 1 time, slight lag 2 times, normal 2 times, and excessive lead 0 times.

[0106] It should be noted that when there are fewer than five available records, the count will still be based on the existing records and subsequent judgments will continue (see the rollback strategy in the next step), but the sample number should be marked in the log for subsequent analysis.

[0107] Step S33: When the number of severe delays is greater than or equal to three, the synchronicity of the moving iron core engaging process is judged as poor; when the number of slight delays is greater than or equal to three, the synchronicity is judged as average; when the number of normal delays is greater than or equal to three, the synchronicity is judged as good; when the number of excessive advances is greater than or equal to two, the synchronicity is judged as abnormal.

[0108] In one embodiment, a preset judgment rule is applied: if the number of severe lags is greater than or equal to three, it is judged as "poor"; if the number of mild lags is greater than or equal to three, it is judged as "average"; if the number of normal lags is greater than or equal to three, it is judged as "good"; if the number of excessive leads is greater than or equal to two, it is judged as "abnormal". For example, if there are 3 severe lags in the last five counts, the synchronicity is directly judged as poor.

[0109] It should be noted that if multiple judgment conditions are met simultaneously (e.g., two instances of excessive lead and three instances of severe lag), a priority rule should be used to select the final state in the engineering implementation: the priority can be in the order of "abnormal (excessive lead) → poor (severe lag) → average (mild lag) → good (normal)" to select the more severe state; in addition, when there are fewer than five available records and no category reaches the above threshold, it can be rolled back to "average" according to the project agreement to maintain conservative processing, and the insufficient sample should be noted in the log.

[0110] Step S34: Based on the state of synchronization, perform dynamic response offset correction on the value of each displacement point on the expected attraction force curve to obtain the corrected attraction force;

[0111] In one embodiment, a predefined correction strategy is used to proportionally correct the expected curve as a whole or point-by-point based on the synchronicity state: if the result is "poor," the expected pull force is adjusted by a factor of 0.7 at each displacement point; if the result is "average," it is adjusted by a factor of 0.9; if the result is "good," it remains unchanged; and if the result is "abnormal," it is adjusted by a factor of 1.1. For example, the expected pull force at a certain displacement point is 1.0 N, which is corrected to 0.9 N when the result is "average," and to 0.7 N when the result is "poor."

[0112] It should be noted that the correction can be applied uniformly across the entire curve by a proportional multiplication, or different degrees of correction can be applied to different displacement segments in engineering practice, taking into account displacement sensitivity. It is also recommended to perform reasonable smoothing on the corrected curve to avoid abrupt changes.

[0113] Step S35: Arrange the corrected attraction force values ​​at each displacement point according to the displacement order to form the actual attraction force.

[0114] In one embodiment, the corrected attraction force values ​​obtained in step S34, sorted by displacement from start to end, are organized into an array or curve file. The timestamps, correction strategies used, and synchronization criteria are recorded, and this is used as the "actual attraction force" for subsequent force accumulation calculations and reliability assessments. For example, if the corrected attraction forces at ten equidistant displacement points are 0.2, 0.5, 0.8, ... respectively, then an actual curve is formed in this order and archived.

[0115] It should be noted that, for ease of traceability and comparison, it is recommended to save both the original expected curve and the difference before and after correction, and to indicate the displacement scale unit and sampling rules used in the record.

[0116] Furthermore, the dynamic response offset correction in step S34 specifically involves:

[0117] When the synchronicity is poor, multiply the value of each displacement point on the expected attraction force curve by 0.7; when the synchronicity is normal, multiply the value of each displacement point on the expected attraction force curve by 0.9; when the synchronicity is good, keep the expected attraction force unchanged; when the synchronicity is abnormal, multiply the value of each displacement point on the expected attraction force curve by 1.1; thus obtaining the corrected attraction force.

[0118] In one embodiment, when the synchronicity is determined to be poor, the value of each displacement point on the expected attraction force curve is uniformly multiplied by 0.7 to obtain the corrected attraction force. Specifically, the expected attraction force value at each pre-read displacement sampling point is reduced by 70% to form a new curve, and the factor and judgment basis used for this correction are noted in the record. For example, if the expected attraction force at a certain displacement point is 1.0 N, it is recorded as 0.7 N after correction. When the synchronicity is determined to be moderate, the value of each displacement point on the expected attraction force curve is uniformly multiplied by 0.9 to obtain the corrected attraction force. Specifically, the expected curve is conservatively reduced by 90% as compensation for the risk of slight lag, and the correction factor and triggering condition are written to the correction log. For example, if the expected attraction force at a certain displacement point is 1.0 N, it is corrected to 0.9 N. When the synchronicity is determined to be good, the expected attraction force curve is not numerically amplified or reduced; the expected attraction force is directly saved as the corrected attraction force and used for subsequent calculations. The specific method involves recording the expected curve as is, and noting "no correction, maintaining good synchronicity" in the record as a criterion for judgment. For example, if the expected pull force at a certain displacement point is 1.0 N, the corrected pull force will still be 1.0 N. When synchronicity is determined to be abnormal, the value of each displacement point on the expected pull force curve is multiplied by 1.1 to obtain the corrected pull force. Specifically, the expected curve as a whole is magnified by 1.1 times to compensate for the closure risk caused by excessive lead or other anomalies, and the magnification factor and the type of anomaly triggered are noted in the correction record. For example, if the expected pull force at a certain displacement point is 1.0 N, the corrected pull force will be 1.1 N.

[0119] It should be noted that the amplified values ​​must not exceed the design allowable force or electrical / mechanical safety limits. When implementing the correction, an upper limit constraint should be imposed on the result (if it exceeds the limit, it should be truncated to the maximum allowable value) and further manual review or protection measures should be triggered.

[0120] Furthermore, step S4 includes the following steps:

[0121] Step S41: Divide the total stroke of the moving iron core into ten equally spaced intervals, extract the attraction force values ​​corresponding to the start and end positions of each interval from the actual attraction force, and calculate the average attraction force in each interval;

[0122] In one embodiment, the distance from the starting point to the ending point is first divided into ten equal segments based on the travel length, and the displacement boundary of each segment is defined. Then, the values ​​at the starting and ending points of each segment are read from the "actual attraction force" data. The arithmetic mean of the two values ​​or a simple average of multiple points within the segment is taken to obtain the average attraction force of the interval, which is then archived for later use. For example, if the attraction force at the starting point of the first interval is 0.2 N and the ending point is 0.6 N, then the average attraction force of the interval is recorded as 0.4 N.

[0123] It should be noted that if the actual data consists of discrete points, it is recommended to perform multi-point averaging within the interval to reduce the impact of transient noise, and to keep the units of force and displacement scale consistent.

[0124] Step S42: Collect the time required for the moving iron core to pass through each section, and record this time as the section passage time;

[0125] In one embodiment, using the position output of a displacement sensor or simulation model, timestamps are recorded when the moving iron core passes through the start and end points of each interval. The difference between the timestamps and the timestamps is the passage time for that interval. The sampling rate should be high enough to ensure time resolution, and when reciprocating oscillations or reverse passage are detected, the time period of the first stable passage should be selected according to rules. For example, if the start time of an interval is 1.000 milliseconds and the end time is 1.201 milliseconds, then the passage time of the interval is recorded as 0.201 milliseconds.

[0126] It should be noted that if the speed of movement fluctuates significantly within the range, the average of multiple passage times within the range or the filtered time value should be considered to improve robustness.

[0127] Step S43: Multiply the average attraction force of each interval by the corresponding interval's time to obtain the force contribution value of that interval;

[0128] In one embodiment, the average attraction force of the interval calculated in step S41 is multiplied by the interval passage time recorded in step S42 to obtain a value representing the cumulative effect of the interval on the overall attraction process (which can be regarded as an approximate integral value of force over time), and stored in the contribution value table. For example, if the average attraction force of a certain interval is 0.4 N and the passage time of the interval is 0.201 ms, then the force contribution value of the interval is 0.4 multiplied by 0.000201, which is approximately equal to 0.0000804 N·s (example value is for illustrative purposes only).

[0129] It should be noted that the rectangular method is used for approximate integration here. If higher accuracy is required, more subdivided interval or segment integration approximation methods can be used.

[0130] Step S44: The force contribution values ​​of the ten intervals are added up sequentially to obtain the cumulative force value of the attraction process;

[0131] In one embodiment, the force contribution values ​​of each interval are added together sequentially from the starting point to the ending point of the displacement to obtain a scalar value as the total cumulative force value of this attraction action. The contribution details of each interval are also saved for traceability and analysis. For example, if the contribution values ​​of the ten intervals are successively several decimals, the sum of them is such as 0.005 N·s (example value), which is the cumulative force value of this attraction action.

[0132] It should be noted that the sampling rate and approximation method used for accumulation should be recorded at the same time, so as to compare or correct the results under different sampling conditions.

[0133] Step S45: Determine the reliability of contact closure based on the preset lower threshold, upper threshold and force accumulation value, where the reliability includes unreliable, reliable and excessive.

[0134] In one embodiment, the accumulated step force value is compared with a lower and upper threshold determined by design or experiment: when the accumulated value is below the lower threshold, it is determined to be "unreliable," indicating that insufficient pull-in energy may lead to poor contact; when the accumulated value is between the lower and upper thresholds, it is determined to be "reliable," indicating that the contact closure is within the allowable range; when the accumulated value exceeds the upper threshold, it is determined to be "excessive," indicating that excessive pull-in energy may lead to contact overpressure or sintering risk. For example, if the lower threshold is set to 0.002 N·s and the upper threshold is set to 0.010 N·s, and the current accumulated value is 0.0018 N·s, it is determined to be unreliable; if it is 0.006 N·s, it is determined to be reliable; and if it is 0.012 N·s, it is determined to be excessive.

[0135] It should be noted that the threshold should be determined through experiments or specifications based on the actual contact material, contact surface morphology and current carrying requirements, and the "excessive" situation should trigger the adjustment of subsequent structural or driving parameters and may generate protective actions.

[0136] Furthermore, step S5 includes the following steps:

[0137] Step S51: When the reliability level is unreliable, obtain the current air gap distance value between the moving iron core and the magnetic sheet, reduce the distance value by 0.1 mm, and update the air gap parameters in the geometric model;

[0138] In one embodiment, when the system determines the current reliability level to be unreliable, it first obtains the actual air gap distance between the moving iron core and the magnetic sheet. For example, if the air gap calculated by the geometric model is 2.0 mm, and the reliability is deemed insufficient, the air gap parameter is reduced by 0.1 mm using a correction strategy, resulting in an updated air gap of 1.9 mm. This updated value is synchronously written into the input parameters of the geometric model so that subsequent calculations can continue iterating based on the adjusted actual situation. For instance, in a simulation, the attraction force was insufficient when the air gap was 2.2 mm; after adjustment, it was set to 2.1 mm to shorten the air gap and improve the effectiveness of the magnetic circuit.

[0139] Step S52: Using the updated air gap parameters, re-execute steps S2 to S4 to obtain a new level of reliability;

[0140] In one embodiment, after updating the air gap parameters, the system re-invokes the modeling, solving, and reliability assessment processes defined in steps S2 to S4 to obtain new reliability evaluation results. This process ensures that performance changes after each fine-tuning of the air gap can be verified immediately. For example, when the air gap is adjusted from 2.0 mm to 1.9 mm, by rerunning the modeling process, new electromagnetic attraction calculation results can be obtained, thereby updating the reliability assessment status.

[0141] Step S53: If the reliability is still unreliable after adjusting the air gap distance three times consecutively, keep the air gap parameters unchanged, obtain the current number of coil turns, and increase the number of turns by 5 of the original value while keeping the coil resistance unchanged. , as a structural configuration scheme;

[0142] In one embodiment, if the reliability is still deemed unreliable after three consecutive adjustments to reduce the air gap by 0.1 mm, the air gap will not be further reduced to avoid mechanical tolerance and electrical safety hazards. In this case, the system will keep the air gap parameters unchanged and instead obtain the original number of coil turns. For example, if the original coil has 500 turns, while keeping the coil resistance constant, the number of turns will be increased by 5%, i.e., adjusted to 525 turns, and this value will be written into the geometric model as a new structural configuration. For instance, in practical applications, if the air gap remains unreliable after an iteration from 2.0 mm to 1.7 mm, the magnetomotive force will be directly increased by increasing the number of coil turns to ensure reliability.

[0143] Step S54: When the reliability level is excessive, obtain the current air gap parameters, increase the air gap parameter value by 0.3mm, update the corresponding parameters in the geometric model, record the type, amount and reliability level of each parameter adjustment, and output the structural configuration scheme.

[0144] In one embodiment, when the system determines that the reliability is in an excessive state, i.e., the magnetic attraction force is too large or exceeds the optimal design range, the current air gap parameter is obtained and increased by 0.3 mm. For example, if the initial air gap is 1.8 mm, and it is determined to be in an excessive state, it is adjusted to 2.1 mm. The updated parameter is written into the geometric model, and the type of adjustment (increased air gap), the adjustment amount (+0.3 mm), and the corresponding reliability level are recorded to provide a complete parameter adjustment history when optimizing the output results. For example, in a simulation, the moving iron core closes too quickly, causing an impact; the system increases the air gap by 0.3 mm to alleviate this problem.

[0145] Step S55: When the reliability level reaches the reliable state, extract the current air gap parameters and the number of coil winding turns, and output them as the final structural configuration scheme.

[0146] In one embodiment, when the system's calculated reliability meets the reliability requirement—neither too low nor too high—the current air gap parameters and coil turns are extracted as the final structural configuration after optimization and output to the design result library. For example, if the final air gap is 2.0 mm and the coil turns are 525, then this set of parameters is directly defined as a design scheme that meets the requirements. It should be noted that the output of this step is the endpoint of the entire adjustment iteration process, ensuring that the structural parameters meet electromagnetic reliability requirements while avoiding redundancy in mechanical design and electrical performance.

[0147] Therefore, the embodiments should be considered exemplary and non-limiting in all respects, and the scope of the invention is defined by the appended claims rather than the foregoing description. Thus, all variations falling within the meaning and scope of the equivalents of the application are intended to be included within the invention.

[0148] The above description is merely a specific embodiment of the present invention, enabling those skilled in the art to understand or implement the invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the invention. Therefore, the present invention is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features of the invention herein.

Claims

1. A method for configurable electromagnetic parameter structure simulation of a ceramic-encapsulated high-voltage DC contactor, characterized in that, Includes the following steps: Step S1: Obtain the geometric model of the ceramic packaged high voltage DC contactor. Under standard test conditions, measure the time interval between the generation of induced current in the magnetic ring after the main coil is energized and record it as the induction delay reference value. Step S2: When the contactor performs each switching action, monitor in real time the time interval between the main coil being energized and the induced current being generated by the magnetic ring in that action, and compare it with the induction delay reference value to obtain the deviation sequence of each action; Step S3: Determine the synchronicity of the moving iron core's attraction process based on the deviation degree sequence. When the delay deviation increases, reduce the expected attraction force value of the moving iron core to generate the actual attraction force. Step S4: Accumulate the changes in the actual attraction force during the stroke of the moving iron core to obtain the cumulative force value of the attraction process; The reliability of contact closure is determined by the magnitude of the accumulated force. Step S4 includes: Step S41: Divide the total stroke of the moving iron core into ten equally spaced intervals, extract the attraction force values ​​corresponding to the start and end positions of each interval from the actual attraction force, and calculate the average attraction force in each interval; Step S42: Collect the time required for the moving iron core to pass through each section, and record this time as the section passage time; Step S43: Multiply the average attraction force of each interval by the corresponding interval's time to obtain the force contribution value of that interval; Step S44: The force contribution values ​​of the ten intervals are added up sequentially to obtain the cumulative force value of the attraction process; Step S45: Determine the reliability of contact closure based on the preset lower threshold, upper threshold and force accumulation value, where the reliability includes unreliable, reliable and excessive. Step S5: When the reliability does not meet the requirements, adjust the air gap distance between the moving iron core and the magnetic sheet and the winding of the coil until the reliability meets the preset requirements, and output the final structural configuration scheme.

2. The electromagnetic parameter configurable structure simulation method for the ceramic-encapsulated high-voltage DC contactor according to claim 1, characterized in that, Step S1 includes the following steps: Step S11: Obtain the geometric model of the ceramic-encapsulated high-voltage DC contactor; Step S12: Set the initial current of the main coil in the geometric model to zero, set the initial induced current of the magnetic ring to zero, set the ambient temperature to 25 degrees Celsius, and let the model stand still for 30 seconds to allow each component to reach a stable state. Step S13: In a stable state, apply a step voltage signal to the main coil, record the moment the voltage is applied as the start time, and start the time recorder to begin timing. Step S14: Continuously monitor the current value in the magnetic ring. When the current value is detected to rise from zero and reach the preset threshold of the steady-state current of the main coil, record the time of this moment as the induction start time.

3. The electromagnetic parameter configurable structure simulation method for the ceramic-encapsulated high-voltage DC contactor according to claim 2, characterized in that, Step S1 also includes the following steps: Step S15: Calculate the time difference between the start time and the start time of sensing, and record this time difference as the first measurement value; Step S16: Return the main coil current to zero, wait for the induced current of the magnetic ring to completely disappear, and repeat steps S13 to S15 to obtain the second and third measurement values. Step S17: Calculate the arithmetic mean of the first, second, and third measurements. If the difference between the maximum and minimum values ​​among the three measurements is less than 5% of the average, then the arithmetic mean is calculated. When this average value is reached, it is determined as the reference value for sensing delay.

4. The electromagnetic parameter configurable structure simulation method for the ceramic-encapsulated high-voltage DC contactor according to claim 3, characterized in that, Step S2 includes the following steps: Step S21: Start the simulation based on the geometric model, set the trigger conditions for the contactor to perform the switching action, and mark the switching action sequence number when the trigger conditions are met; Step S22: When the contactor performs a switching action, detect the moment when the main coil voltage rises from zero to the preset threshold value and record it as the energization start time of this action; Step S23: Starting from the moment of energization, continuously monitor the current change of the magnetic ring. When the magnetic ring current rises from zero and first reaches 1 / 3 of the steady-state current of the main coil... At that moment, the sensor response time for this action is recorded; Step S24: Calculate the time difference between the induction response time and the power-on start time, and record the time difference as the measured delay value of this action; Step S25: Compare the measured delay value with the induction delay reference value and associate it with the corresponding switching action sequence number to obtain the deviation sequence of each action.

5. The electromagnetic parameter configurable structure simulation method for the ceramic-encapsulated high-voltage DC contactor according to claim 4, characterized in that, Step S25 includes the following steps: Step S251: Calculate the delay difference as the measured delay value minus the inductive delay reference value; Step S252: When the delay difference is positive, divide the delay difference by the sensing delay reference value to obtain the positive deviation ratio; when the delay difference is negative, divide the absolute value of the delay difference by the sensing delay reference value to obtain the negative deviation ratio. Step S253: Determine the degree of delay deviation based on the proportion of negative deviation and the proportion of positive deviation; Step S254: Establish a correlation record between the switch action sequence number and the corresponding delay deviation degree to form a deviation degree sequence.

6. The electromagnetic parameter configurable structure simulation method for the ceramic-encapsulated high-voltage DC contactor according to claim 5, characterized in that, Step S253 is as follows: When the positive deviation ratio is greater than 20 When the delay deviation is recorded as severe lag; When the positive deviation ratio is 5 By 20 When the time interval is between, the degree of delay deviation is recorded as slight lag; When the proportion of positive deviation or negative deviation is less than 5 When the delay deviation is normal, the degree of deviation is recorded as normal. When the negative deviation ratio is greater than 20 When the delay deviation is excessive, it is recorded as excessive lead.

7. The electromagnetic parameter configurable structure simulation method for the ceramic-encapsulated high-voltage DC contactor according to claim 6, characterized in that, Step S3 includes the following steps: Step S31: Read the expected attraction force values ​​of the moving iron core at different displacement points to form the expected attraction force curve; Step S32: Extract the delay deviation of the most recent five switching actions from the deviation degree sequence, and count the number of severe lags, mild lags, normal lags, and excessive leads. Step S33: When the number of severe delays is greater than or equal to three, the synchronicity of the moving iron core engaging process is judged as poor; when the number of slight delays is greater than or equal to three, the synchronicity is judged as average; when the number of normal delays is greater than or equal to three, the synchronicity is judged as good; when the number of excessive advances is greater than or equal to two, the synchronicity is judged as abnormal. Step S34: Based on the state of synchronization, perform dynamic response offset correction on the value of each displacement point on the expected attraction force curve to obtain the corrected attraction force; Step S35: Arrange the corrected attraction force values ​​at each displacement point according to the displacement order to form the actual attraction force.

8. The electromagnetic parameter configurable structure simulation method for the ceramic-encapsulated high-voltage DC contactor according to claim 7, characterized in that, The dynamic response offset correction in step S34 is specifically as follows: When the synchronicity is poor, multiply the value of each displacement point on the expected attraction force curve by 0.7; when the synchronicity is normal, multiply the value of each displacement point on the expected attraction force curve by 0.9; when the synchronicity is good, keep the expected attraction force unchanged; when the synchronicity is abnormal, multiply the value of each displacement point on the expected attraction force curve by 1.1; thus obtaining the corrected attraction force.

9. The electromagnetic parameter configurable structure simulation method for the ceramic-encapsulated high-voltage DC contactor according to claim 8, characterized in that, Step S5 includes the following steps: Step S51: When the reliability level is unreliable, obtain the current air gap distance value between the moving iron core and the magnetic sheet, reduce the distance value by 0.1 mm, and update the air gap parameters in the geometric model; Step S52: Using the updated air gap parameters, re-execute steps S2 to S4 to obtain a new level of reliability; Step S53: If the reliability is still unreliable after adjusting the air gap distance three times consecutively, keep the air gap parameters unchanged, obtain the current number of coil turns, and increase the number of turns by 5 of the original value while keeping the coil resistance unchanged. , as a structural configuration scheme; Step S54: When the reliability level is excessive, obtain the current air gap parameters, increase the air gap parameter value by 0.3mm, update the corresponding parameters in the geometric model, record the type, amount and reliability level of each parameter adjustment, and output the structural configuration scheme. Step S55: When the reliability level reaches the reliable state, extract the current air gap parameters and the number of coil winding turns, and output them as the final structural configuration scheme.

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