Power supply control method and system of static load test loading control device

Abstract

The invention provides a power supply control method and system for a static load test loading control device, and belongs to the technical field of power supply, and the method specifically comprises the steps: determining, based on change data, when a storage battery needs to be subjected to energy storage processing in a next static load test stage, the loading amount data of the remaining acceleration loading stage and the change data are taken as the basis, and the storage battery is subjected to energy storage processing; determining a cooperative power supply processing strategy of the storage battery, performing combined power supply processing by using the storage battery and the diesel generator in an acceleration loading stage based on the cooperative power supply processing strategy, and determining voltage change data of the diesel generator in an output current interval by using a combined power supply processing result, based on the voltage change data and the remaining power data of the storage battery, the power supply processing strategy of the storage battery is determined, and the fluctuation risk of the terminal voltage is reduced.

Description

Technical Field

[0001] This invention belongs to the field of power supply technology, and in particular relates to a power supply control method and system for a static load test loading control device. Background Technology

[0002] Static load testing is a key testing method in civil engineering for determining the bearing capacity of foundations or pile foundations. It assesses the structural bearing capacity by progressively loading the load and monitoring displacement changes. Existing technologies often power the loading control device for static load testing via high-voltage cables or diesel generators. However, these technologies have the following technical drawbacks: During static load testing, it is necessary to maintain the stability of the diesel generator's terminal voltage; otherwise, it may affect the diesel generator's oil pressure and other parameters. At the same time, during the accelerated loading phase of the static load test, the peak current will change, which will affect the stability of the terminal voltage. Therefore, determining the combined power supply strategy of the diesel generator and battery to meet the requirements of terminal voltage stability has become an urgent technical problem to be solved.

[0003] To address the aforementioned technical problems, this application provides a power supply control method and system for a static load test loading control device. Summary of the Invention

[0004] To achieve the objectives of this invention, the following technical solution is adopted: Specifically, this application provides a power supply control method for a static load test loading control device, which includes: S1 obtains the remaining fuel quantity of the diesel generator of the loading control device for the static load test. Based on the monitoring changes of the remaining fuel quantity, when it is determined that a battery can be used for combined power supply, the monitoring data of the generator terminal voltage during the accelerated loading phase is used as a basis to determine the change data of the generator terminal voltage. S2 determines that the battery needs to be energy stored in the next static load test stage based on the change data. Based on the remaining load data of the accelerated loading stage and the change data, the S2 determines the battery's collaborative power supply processing strategy. Based on the collaborative power supply processing strategy, the S2 uses the battery and the diesel generator to perform joint power supply processing in the accelerated loading stage. The S2 uses the joint power supply processing result to determine the voltage change data of the diesel generator in the output current range. S3 determines the power supply strategy for the battery based on voltage fluctuation data within a specific load range and the remaining power data of the battery.

[0005] The beneficial effects of this invention are as follows: Based on the load data of the remaining accelerated loading phase, a coordinated power supply strategy for the battery is determined. This allows for the determination of the battery's coordinated power supply strategy for the current accelerated loading phase, taking into account the requirements of the battery's coordinated power supply during the untested accelerated loading period. By determining this strategy, the risk of voltage fluctuations at the generator terminals in the next accelerated loading phase can be accurately identified, and the fluctuation risk within different current ranges can be reliably determined as much as possible. This lays the foundation for further determining the output current for coordinated battery power supply during the untested accelerated loading period.

[0006] Based on voltage fluctuation data and remaining battery capacity data, a power supply strategy for the battery is determined. This strategy considers the differences in voltage fluctuation risk during untested accelerated loading periods caused by voltage fluctuations. Furthermore, it assesses the difficulty of adjusting the current output range from one that does not meet the requirements to one that does, based on the voltage fluctuation data. This allows for the evaluation of the power supply reliability of the remaining battery capacity under the current adjustment difficulty, avoiding the impact of frequent charging and discharging on the battery's lifespan, while also meeting the control requirements of the diesel generator's terminal voltage.

[0007] Furthermore, the remaining fuel level of the diesel generator is determined based on the fuel level monitoring meter of the diesel generator.

[0008] Furthermore, it was determined that a combined power supply using storage batteries can be employed, specifically including: Based on the monitoring changes in the remaining fuel quantity, the fuel consumption of the diesel generator within a unit of time is determined; The predicted operating time of the diesel generator is determined based on the fuel consumption and the remaining fuel. Using the predicted operating time, it can be determined whether a battery can be used for combined power supply.

[0009] Furthermore, when the predicted working time does not meet the requirements, i.e., it is not greater than the remaining test time of the static load test by a preset multiple, using the battery for combined power supply will result in the diesel generator being unable to supply power to the loading control device of the static load test when the remaining fuel is low. Therefore, it is determined that the battery cannot be used for combined power supply at this time, where the preset multiple is 1.2.

[0010] Furthermore, it was determined that energy storage treatment of the battery is required in the next static load test phase, specifically including: Based on the aforementioned variation data, the rate of change of the terminal voltage between adjacent time points during the accelerated loading phase is determined. The timing of the voltage fluctuation monitoring at the terminal is determined based on the rate of change. By utilizing fluctuation monitoring data from different existing accelerated loading phases, it can be determined whether energy storage treatment of the battery is required in the next static load test phase.

[0011] Furthermore, the method for determining the power supply strategy of the storage battery is as follows: Based on the voltage variation data, the variation of the generator terminal voltage within a specific load range is determined, and the monitoring time for the fluctuation of the generator terminal voltage within the specific load range is determined based on the variation data. Based on the fluctuation monitoring time data in different output current ranges, determine the number of fluctuation monitoring times in different output current ranges; By using the monitoring data of the fluctuation of the generator terminal voltage in a specific load range, the number of monitoring times of fluctuation in different output current ranges, and the remaining power data of the battery, the power supply processing strategy of the battery is determined.

[0012] In a second aspect, the present invention provides a computer system comprising: a memory and a processor connected in communication, and a computer program stored in the memory and capable of running on the processor, wherein the processor executes the power supply control method of the static load test loading control device described above when running the computer program.

[0013] Other features and advantages will be set forth in the description which follows, and will be apparent in part from the description, or may be learned by practicing the invention. The objects and other advantages of the invention are realized and obtained through the structures particularly pointed out in the description and the drawings.

[0014] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, preferred embodiments are described below in detail with reference to the accompanying drawings. Attached Figure Description

[0015] The above and other features and advantages of the present invention will become more apparent from a detailed description of exemplary embodiments thereof with reference to the accompanying drawings.

[0016] Figure 1 This is a flowchart of a power supply control method for a static load test loading control device; Figure 2 This is a flowchart illustrating a method for determining whether a battery can be used for combined power supply. Figure 3 This is a flowchart illustrating the method for determining the collaborative power supply strategy for storage batteries. Detailed Implementation

[0017] Exemplary embodiments will now be described more fully with reference to the accompanying drawings. However, these exemplary embodiments can be implemented in many forms and should not be construed as limited to the embodiments set forth herein; rather, they are provided so that the invention will be thorough and complete, and the concept of the exemplary embodiments will be fully conveyed to those skilled in the art. The same reference numerals in the drawings denote the same or similar structures, and therefore their detailed description will be omitted.

[0018] The terms “a,” “one,” “the,” and “the” are used to indicate the existence of one or more elements / components / etc.; the terms “including” and “having” are used to indicate an open-ended meaning of inclusion and that other elements / components / etc. may exist in addition to the listed elements / components / etc.

[0019] Example 1 To solve the above problems, according to one aspect of the present invention, such as Figure 1 As shown, a power supply control method for a static load test loading control device is provided, specifically including: S1 obtains the remaining fuel quantity of the diesel generator of the loading control device for the static load test. Based on the monitoring changes of the remaining fuel quantity, when it is determined that a battery can be used for combined power supply, the monitoring data of the generator terminal voltage during the accelerated loading phase is used as a basis to determine the change data of the generator terminal voltage. Furthermore, the remaining fuel level of the diesel generator is determined based on the fuel level monitoring meter of the diesel generator.

[0020] It should be noted that the diesel generator and the storage battery are devices that provide electrical energy to the load control device.

[0021] Specifically, the variation in the remaining power is determined based on the fuel consumption per unit time during the static load test.

[0022] Specifically, such as Figure 2 As shown, it has been determined that a combined power supply using storage batteries can be employed, specifically including: Based on the monitoring changes in the remaining fuel quantity, the fuel consumption of the diesel generator within a unit of time is determined; The predicted operating time of the diesel generator is determined based on the fuel consumption and the remaining fuel. Using the predicted operating time, it can be determined whether a battery can be used for combined power supply.

[0023] It is understood that the unit duration is 1 minute, and the predicted working time is determined based on the ratio of the remaining fuel to the fuel consumption.

[0024] Furthermore, when the predicted working time does not meet the requirements, i.e., it is not greater than the remaining test time of the static load test by a preset multiple, using the battery for combined power supply will result in the diesel generator being unable to supply power to the loading control device of the static load test when the remaining fuel is low. Therefore, it is determined that the battery cannot be used for combined power supply at this time, where the preset multiple is 1.2.

[0025] Furthermore, the variation data of the terminal voltage is determined based on the rate of change of the terminal voltage between adjacent moments during the accelerated loading phase of the terminal voltage, specifically based on the ratio of the absolute value of the difference between the terminal voltage at the previous moment and the terminal voltage at the previous moment.

[0026] This embodiment aims to address a key operational safety issue in the power supply system for on-site static load testing: how to intelligently decide whether to activate the battery for combined power supply during the test when both a diesel generator and a battery are configured as dual power sources for the load control device. The core logic is: real-time monitoring of the diesel generator's fuel consumption rate and remaining fuel level, dynamically calculating its remaining runtime. By comparing this runtime with the risk boundary of the remaining test time, it is determined whether relying solely on generator power is sufficiently safe. If there is a risk of running out of fuel without stopping the battery, the combined battery power supply mode is prohibited to ensure that in the event of generator failure or fuel depletion, only the battery can serve as an independent backup power source, thereby guaranteeing the continuous and controllable operation of the test load and preventing test interruption or equipment malfunction.

[0027] Step 1: Real-time monitoring and fuel consumption rate calculation: Keyword explanation: Remaining fuel level: Real-time data on the volume or weight of fuel obtained through fuel level monitoring gauges (such as float-type or capacitive level sensors) inside the fuel tank.

[0028] Fuel consumption per unit time: During the current stable loading phase of the static load test, the real-time fuel consumption rate (e.g., liters per minute) is obtained by calculating the difference in remaining fuel at adjacent moments using a 1-minute sampling window. This reflects the actual fuel consumption rate of the generator under the current load.

[0029] Predicted operating time: The remaining generator operating time extrapolated from the current state. The calculation formula is: Predicted operating time (minutes) = Current remaining fuel (liters) / Current fuel consumption per unit time (liters / minute).

[0030] From static fuel level to dynamic range: Knowing only the remaining fuel level is not enough to assess risk; it must be combined with the real-time fuel consumption rate to calculate "how long can I last."

[0031] Real-time performance: Estimated in 1-minute intervals, it can quickly respond to fuel consumption rate fluctuations caused by load changes.

[0032] Significance: It transforms the generator status from a vague concept of "fuel percentage" into a clear, time-linked "safety countdown," providing a core basis for decision-making.

[0033] Step Two: Decision-making on Collaborative Power Supply Mode Based on Risk Prediction: Decision-making rules: Condition: If the predicted working time is ≤ 1.2 * the remaining test time of the static load test, then "the battery cannot be used for combined power supply".

[0034] Otherwise, combined power supply can be activated.

[0035] Parameter Interpretation: Remaining test duration: Total planned test duration minus the duration already completed.

[0036] Preset multiple (1.2): This is a safety redundancy factor. It requires that the generator's predicted range must be at least 20% greater than the remaining test time.

[0037] Decision-making logic and in-depth analysis: Risk scenario definition: The decision aims to avoid a specific risk: "When the test is not yet over, but the generator stops outputting due to fuel exhaustion or sudden failure, the battery is also in joint power supply mode rather than independent backup mode, which makes it unable to seamlessly take over the load, causing the test to be interrupted or the load to run out of control." Risk analysis when "requirements are not met": When the predicted range is only slightly longer (or even shorter) than the remaining test time, it means that the generator is very likely unable to support the test independently until the end.

[0038] At this point, if combined power supply is activated, the battery will operate in parallel with the generator to share the load. This will cause the battery to continuously deplete.

[0039] If the generator runs out of fuel and shuts down in the later stages of the test, the battery may also have discharged to a low level. Its remaining capacity and power may not be sufficient to independently support the final, often most demanding, loading phase of the test. This could force the test to stop or cause the load to drop uncontrollably, resulting in safety risks and data loss.

[0040] The logic when "meeting the requirements" is as follows: When the predicted range is sufficient (greater than 1.2 times the remaining time), it means the generator has a sufficient safety margin. Activating combined power supply at this time is safe because even if combined power supply consumes some battery power, the battery still has a very high probability of retaining enough charge to complete the backup task in the event of premature generator failure. At the same time, combined power supply can reduce the generator's individual load rate, potentially improving efficiency and reducing emissions.

[0041] Examples and scenario interpretations Scenario: A static load test of a foundation pile, with a planned total duration of 300 minutes, 150 minutes have been completed, and 150 minutes remain.

[0042] Real-time data: Diesel generator has 30 liters of fuel remaining, and the current fuel consumption rate is 0.25 liters / minute.

[0043] calculate: Predicted working time = 30 / 0.25 = 120 minutes.

[0044] 1.2 * Remaining test duration = 1.2 * 150 = 180 minutes.

[0045] Decision-making: 120 minutes (prediction) < 180 minutes (safety boundary).

[0046] System decision: "Batteries cannot be used for combined power supply."

[0047] Execution result: The system locked the battery in independent standby mode. The diesel generator provides power independently.

[0048] Summary and Value of Implementation Examples: From "fault response" to "risk prevention": Traditional dual-power switching is a reactive measure after a fault occurs. This method proactively anticipates risks before a fault occurs by predicting fuel level and remaining range, and adjusts the system operating mode in advance (prohibiting joint power supply) to prevent the worst-case scenario, thus achieving preventative safety control.

[0049] Ensuring the continuity of critical tests: For tests such as static load tests, which are irreversible and interruptions may lead to the loss of all previous results, this method, through intelligent power management, ensures that the test can be completed under any single power failure, thus protecting valuable test data and time costs.

[0050] Optimize asset allocation and usage: Under the premise of safety, allow the use of combined power supply mode when the range is sufficient. This can give full play to the regulating role of the battery, potentially allowing the generator to operate in a more efficient condition, reducing its operating time, and extending the maintenance cycle.

[0051] Achieving unattended operation and automation: This decision logic can be embedded into the control system of the load control device to achieve fully automated management of the power supply mode, reduce reliance on the experience of on-site operators, and improve the standardization and safety of the testing process.

[0052] This embodiment demonstrates an intelligent control method that tightly integrates "real-time monitoring," "dynamic prediction," and "safety strategies" in engineering sites. It upgrades a simple dual-power system into a reliable power supply guarantee system with risk perception and adaptive capabilities.

[0053] S2 determines that the battery needs to be energy stored in the next static load test stage based on the change data. Based on the remaining load data of the accelerated loading stage and the change data, the S2 determines the battery's collaborative power supply processing strategy. Based on the collaborative power supply processing strategy, the S2 uses the battery and the diesel generator to perform joint power supply processing in the accelerated loading stage. The S2 uses the joint power supply processing result to determine the voltage change data of the diesel generator in the output current range. Furthermore, it was determined that energy storage treatment of the battery is required in the next static load test phase, specifically including: Based on the aforementioned variation data, the rate of change of the terminal voltage between adjacent time points during the accelerated loading phase is determined. The timing of the voltage fluctuation monitoring at the terminal is determined based on the rate of change. By utilizing fluctuation monitoring data from different existing accelerated loading phases, it can be determined whether energy storage treatment of the battery is required in the next static load test phase.

[0054] It is understood that the existing different accelerated loading phases refer to the accelerated loading phases prior to the current moment, i.e., the accelerated loading phases that have already been tested.

[0055] It should be noted that if the fluctuation monitoring data in the different existing accelerated loading stages does not meet the requirements, it indicates that the voltage fluctuation of the diesel generator terminal is relatively serious in the accelerated loading stage. Therefore, in order to ensure that the battery can provide power in the next accelerated loading stage, it is determined that the battery needs to be energy stored in the next static load test stage.

[0056] In one possible embodiment, when the number of time periods with fluctuation monitoring times in the existing different accelerated loading stages does not meet the requirements, wherein the time periods are divided according to a unit duration of 1 minute, that is, when the number of time periods with fluctuation monitoring times is not less than 10, it is determined that the number of fluctuation monitoring times in the existing different accelerated loading stages does not meet the requirements.

[0057] It should be noted that when energy storage is required for the battery, if the battery charge is not 100%, the battery charge will be increased to 100% during the static load test phase, specifically through the diesel generator.

[0058] This embodiment aims to address a predictive maintenance problem in a static load test power supply system: how to intelligently predict and decide whether to perform a preventative full charge of the battery before the next test based on the voltage stability performance of the diesel generator during historical loading processes. The core logic is to assess the "vulnerability" of the diesel generator as a power source by analyzing the severity of voltage fluctuations during the completed "accelerated loading phase." If historical data shows frequent and severe voltage fluctuations during loading, it is predicted that the same problem may occur in similar future phases. To ensure that the battery can immediately provide stable and coordinated power supply or seamless takeover during voltage fluctuations or sudden drops, thereby guaranteeing the stability of the generator terminal voltage, it must be charged to 100% full charge in advance as a preventative safeguard.

[0059] Step 1: Quantify the voltage instability of the generator during the loading process; Keyword explanation: Accelerated loading phase: During the static load test, the load applied to the test pile increases rapidly in a step-like or continuous manner. This phase involves drastic changes in generator load and is a critical period for testing its voltage stability.

[0060] Generator terminal voltage variation rate: During the accelerated loading phase, the rate of change (ΔV / Δt) of the generator output voltage between adjacent sampling times (e.g., per second) is calculated. This value reflects the generator's dynamic adjustment performance in response to load changes.

[0061] Fluctuation monitoring moment: The moment when the absolute value of the rate of change of the generator terminal voltage exceeds a certain preset threshold is marked as the "fluctuation monitoring moment". This threshold is set according to the generator performance specifications (e.g., instantaneous voltage fluctuation exceeding ±5% of the rated voltage).

[0062] Capturing transient events: Problems with generators under load shocks often manifest as instantaneous voltage drops or overshoots, and the rate of change is a sensitive indicator for capturing such transient events.

[0063] Identifying high-risk periods: Marking "fluctuation monitoring moments" means extracting specific moments of instability from continuous data to facilitate frequency and pattern analysis.

[0064] Significance: This transforms the general feeling of "unstable generator voltage" into a sequence of "fluctuation events" that can be located and counted, thus establishing a data foundation for historical pattern analysis.

[0065] Step Two: Analyze historical fluctuation patterns and make preventative decisions: Analysis process: Time Segmentation: Each completed accelerated loading phase is divided into several time segments, with each segment lasting one minute.

[0066] Statistical fluctuation periods: For each 1-minute period, check if it contains a "fluctuation monitoring time". If it does, count that period as a "fluctuation period".

[0067] Aggregate historical data: Count the total number of "fluctuation periods" in all completed accelerated loading phases.

[0068] Decision-making rules: Condition: If the total number of historical "fluctuation periods" is ≥ 10, then it is determined that "the fluctuation monitoring time data in the existing different accelerated loading phases do not meet the requirements".

[0069] Decision: It is determined that the battery needs to be charged to 100% during the next static load test phase.

[0070] Logic and In-Depth Analysis: Threshold meaning (≥10 fluctuation periods): This means that during the past loading process, the generator experienced significant voltage fluctuations on average every minute for a considerable number of periods. This indicates that the generator has a persistent and frequent problem of insufficient voltage regulation capability when dealing with loading shocks, which is a manifestation of its inherent characteristics or health status.

[0071] Risk Prediction: Historical patterns are the best predictor of future performance. A generator with a history of frequent fluctuations is highly likely to experience similar or even more severe voltage fluctuations during the next similar accelerated loading phase.

[0072] The necessity of preventative charging: Preparing for coordinated power supply: If voltage fluctuations are frequent, in order to maintain the stable operation of the load control device (which is voltage-sensitive), the battery may need to intervene earlier and more frequently to provide "voltage support" or "coordinated power supply." A fully charged battery can provide the maximum instantaneous power support capacity and the longest support time.

[0073] Preparing for seamless switching: Severe voltage fluctuations can escalate into voltage drops or even short-term outages. A fully charged battery ensures sufficient energy reserves to smoothly transition and complete the test in the event of a power switch at any time.

[0074] Eliminating uncertainty: Charging the battery to 100% elevates its readiness to the highest level to meet the most severe power supply challenges predicted by the generator's historical performance. This is a data-driven, proactive "preparation" approach.

[0075] Step 3: Perform energy storage processing: Operation: During the intervals or preparation phases of the static load test (before the next test begins), start the diesel generator and control it to run at an appropriate power to charge the battery until it reaches 100% charge.

[0076] The diesel generator itself serves as the charging power source, requiring no additional equipment. Charging is completed before the test to ensure the battery is in optimal condition at the start of the test.

[0077] Linked control: This decision can be linked with the power supply mode decision of the previous embodiment. For example, even if the previous embodiment allows joint power supply due to fuel level prediction safety, if this embodiment determines that preventative charging is required, the system will prioritize charging and then reassess whether joint power supply is allowed based on the real-time fuel level after charging is completed.

[0078] Summary and Value of Implementation Examples: This approach achieves a leap from "passive response" to "proactive prevention": Traditional methods only activate the battery after voltage fluctuations occur. This method, by analyzing historical data, strengthens the backup power supply before fluctuations occur, proactively addressing safety concerns and significantly improving system robustness and test success rate.

[0079] Data-driven predictive maintenance: The core of this method is to predict the future behavior of the generator based on its own "health record" (voltage fluctuation history) and trigger maintenance actions (full charge of battery), which is a specific application of the predictive maintenance concept in power systems.

[0080] Optimizing overall system reliability: It recognizes that the reliability of a power supply system depends not only on the individual state of each component (generator, battery), but also on the coordinated matching between them. An unstable generator must be matched with a battery in excellent condition to form a reliable system. This method automatically ensures this matching.

[0081] Enhance automation and intelligence: The entire analysis, decision-making, and execution process can be automated, reducing the pressure of manual monitoring and judgment, and making complex field test power supply management simpler and more reliable.

[0082] This embodiment, together with the previous embodiment, constitutes a complete intelligent power supply protection system: the former adjusts emergency strategies for "short-term risks" based on real-time oil levels, while the latter prepares for "long-term mode" preventative states based on historical performance. The combination of the two achieves full-cycle, multi-level intelligent protection for power supply safety during static load tests.

[0083] Specifically, such as Figure 3 As shown, the method for determining the cooperative power supply strategy of the storage battery is as follows: Based on the load data of the remaining accelerated loading phases, identify the accelerated loading phases that were not tested. Based on the loading data of the accelerated loading phase that has not been tested, the loading range of the loading control device in the accelerated loading phase that has not been tested is determined. Based on the deviation between the loading range and the current accelerated loading stage, as well as the output current range corresponding to the monitoring time of the terminal voltage fluctuation, the coordinated power supply processing strategy of the battery is determined.

[0084] It should be noted that if there is no further accelerated loading phase after the current accelerated loading phase, then only if the number of output currents in the previous fluctuation monitoring time does not meet the requirements in the existing accelerated loading phase, is it necessary to perform coordinated power supply processing, specifically to provide current so that the output current of the diesel generator is not in the output current range where the number of fluctuation monitoring times does not meet the requirements.

[0085] It should be noted that static load tests generally include a static load test phase and an accelerated loading phase, and this process is repeated multiple times to perform static load test treatment.

[0086] In one possible embodiment, if the number of fluctuation monitoring moments within the output current range is not less than 6, that is, if the number of fluctuation monitoring moments in the already tested accelerated loading phase is not less than 6, then it is determined that the number of fluctuation monitoring moments within the output current range does not meet the requirements.

[0087] The current accelerated loading phase is followed by another accelerated loading phase. This means that if the number of untested accelerated loading phases is less than three, the output current range corresponding to the voltage fluctuation monitoring time is used as a basis to determine the output current range with fluctuation monitoring times. When the cumulative monitoring time within the output current range with fluctuation monitoring times meets the requirement (i.e., the cumulative monitoring time within the output current range is greater than 5 minutes), it can be determined whether the current fluctuation within the output current range with fluctuation monitoring times meets the requirement. Therefore, based on this, in the current accelerated loading phase, only when the output current range with fewer fluctuation monitoring times in the previous moment needs to be processed for coordinated power supply, specifically providing current so that the output current of the diesel generator is not in the output current range with fewer fluctuation monitoring times.

[0088] It should be noted that the output current range is divided into equal intervals based on a 0.5A interval, wherein the output current range is determined based on the range from 0 to the rated output current of the diesel generator.

[0089] When the cumulative monitoring time within the output current interval during fluctuation monitoring is uneven and does not meet the requirements, the current accelerated loading stage is divided into multiple loading intervals based on the loading amount, specifically with equal intervals of 1%. If the deviation between the maximum endpoint of the current loading interval and the minimum endpoint of the loading interval in the next accelerated loading stage is no greater than 3%, then in order to accurately determine the voltage fluctuation during the loading process in the next accelerated loading stage, there is no need to use the battery for coordinated power supply. However, if the deviation between the maximum endpoint of the current loading interval and the minimum endpoint of the loading interval in the next accelerated loading stage is greater than 3%, then coordinated power supply is required only if the number of output current intervals during the previous fluctuation monitoring time does not meet the requirements in the current accelerated loading stage. Specifically, current is provided so that the output current of the diesel generator falls within the output current interval during the fluctuation monitoring time where the number of monitoring times does not meet the requirements.

[0090] This embodiment aims to address the core control issue of how the battery and diesel generator can achieve refined and proactive coordination during static load testing. Its core logic is as follows: by analyzing the voltage fluctuation performance of the diesel generator under different output current ranges during historical loading processes, a "vulnerability map" is constructed. Combining information from the current loading stage and future loading stages, it intelligently predicts whether the generator will enter its "vulnerable condition" during the upcoming loading process. If so, the battery is instructed to provide precise current compensation (coordinated power supply) at a precise time, ensuring that the generator's overall output current avoids its "vulnerable range," thereby proactively preventing voltage fluctuations and ensuring voltage stability and test continuity during the loading process.

[0091] Step 1: Construct a "vulnerability map" for the generator: Keyword explanation: Output current range: The output range of the diesel generator from 0 to rated current is divided into a series of continuous current ranges with an interval of 0.5A (e.g., [0A, 0.5A), [0.5A, 1A), ...).

[0092] Fluctuation monitoring time: defined as the moment when the instantaneous fluctuation rate of the generator terminal voltage exceeds the safety threshold (same as the previous embodiment).

[0093] The number of fluctuation monitoring moments does not meet the requirements: For a specific output current range, if the total number of fluctuation monitoring moments falling into this range is ≥ 6 in all completed historical accelerated loading phases, then this range is marked as a "not meeting the requirements" range, i.e., the generator's "vulnerable current range".

[0094] Statistical analysis was performed on the voltage stability performance of the generator under different load levels (current). "Weaknesses" were identified where the voltage easily fluctuated once a certain current band was reached. Six time-stress thresholds ensured statistical significance and avoided interference from occasional events.

[0095] Significance: By mapping the instability of generators from the time dimension to the load (current) dimension, a "risk heat map" is formed to guide coordinated power supply.

[0096] Step Two: Multi-Scenario Decision Making Based on Experiment Progress Scenario 1: The current stage is the final accelerated loading (no future stages); Condition: There are no unexecuted accelerated loading phases following the current accelerated loading phase.

[0097] Strategy: Conservative and precise compensation strategy.

[0098] Triggering condition: Only when the generator's output current happens to fall within a certain "vulnerable current range" at the current moment.

[0099] Action: The battery immediately provides compensation current, causing the generator output current (i.e., the net value after subtracting the current provided by the battery from the total current) to move away from the "vulnerable range".

[0100] Logic: In the final stage, the goal is a smooth conclusion. The strategy is extremely restrained, intervening only when the generator is confirmed to have "stepped on a landmine," in order to minimize battery consumption and ensure voltage stability until the end of the test.

[0101] Scenario 2: There are multiple accelerated loading stages that need to be planned in advance. Condition: The number of untested accelerated loading phases is ≥ 3.

[0102] Further decisions depend on the sufficiency of historical data: Sub-scenario A: Sufficient historical data (can make confident predictions); Condition: For each "vulnerable current range", the generator's historical cumulative operating time within that range is >5 minutes.

[0103] Strategy: The same conservative and precise compensation strategy as in scenario one.

[0104] Logical reasoning: Ample historical data (>5 minutes) indicates that we have a thorough understanding of the generator's fluctuation characteristics within these current ranges. Therefore, we can trust the reliability of the current "vulnerable zone" map and continue to employ a precise "avoid pitfalls" strategy.

[0105] Sub-scenario B: Insufficient historical data (exploration requires caution); Condition: The cumulative historical operating time of the "vulnerable current range" is ≤ 5 minutes.

[0106] Further analysis: Compare the current loading volume with the expected loading volume for the next loading stage.

[0107] Loading volume changes slightly (smooth transition): |Minimum loading volume of the next stage - Maximum loading volume of the current stage| ≤3%.

[0108] Strategy: Do not perform coordinated power supply processing.

[0109] The logic is as follows: with a gradual increase in load, the generator is unlikely to suddenly jump into an unknown, potentially more vulnerable operating condition. Allowing the generator to "handle the load independently" at this point allows for the collection of new data at nearby load points, which can be used to refine the "vulnerability map" and accumulate knowledge for the more distant future. This is an exploratory strategy of "trading small risks now for greater future understanding."

[0110] Significant jump in load (sharp increase): |Minimum load for next stage - Maximum load for current stage| > 3%.

[0111] Strategy: Adopt an enhanced precision compensation strategy. The triggering conditions are the same as in scenario one, but the action is stronger: the battery provides compensation, so that the generator output current not only avoids the current "vulnerable range", but also directly enters a known "safe current range" with a small number of historical fluctuation monitoring times (i.e., stable).

[0112] Logic: Faced with a significant load jump, the generator is easily "pushed" into an unknown region with a higher load and potentially greater vulnerability. In this case, the strategy upgrades from "lightning avoidance" to "navigation to a safe zone." When providing compensation, it not only considers avoiding the current point but also proactively guides the operating point towards a proven stable region, establishing a more robust starting point for dealing with upcoming load shocks.

[0113] Summary and Value of Implementation Examples Achieving a qualitative leap from "passive support" to "active shaping": Traditional backup power supplies only activate after a voltage drop. This strategy allows the battery to actively participate in current distribution, "shaping" the generator's operating point by compensating for current, ensuring it always avoids unstable areas and nipping voltage fluctuations in the bud.

[0114] Integrating historical learning and forward-looking prediction: The strategy relies heavily on a "knowledge base" (vulnerability map) built from historical data, and combined with the prediction of the subsequent experimental process, it makes decisions with different levels of intelligence, from "precise mine avoidance" to "guiding to the safe zone" and then to "active exploration", which reflects the system's ability to recognize and adapt to complex working conditions.

[0115] Balancing operational safety and data collection: In the "smooth transition" scenario of sub-scenario B, the strategy opted for temporary non-intervention to collect data. This demonstrates an advanced control concept that consciously explores ways to optimize long-term performance while ensuring basic safety (current load is known to be stable).

[0116] Significantly improves test quality and efficiency: By preventing voltage fluctuations, the precise and stable operation of the loading control device is ensured, thereby improving the accuracy and reliability of static load test data. At the same time, it reduces test interruptions or retrying caused by voltage issues, improving overall test efficiency.

[0117] This method transforms the battery from a passive backup role into an active, intelligent "generator condition optimizer" and "system stabilizer." It represents an advanced power management paradigm that highly integrates data analysis, predictive control, and optimization theory, and is particularly suitable for industrial testing scenarios with stringent power quality requirements and known load processes.

[0118] S3 determines the power supply processing strategy for the battery based on voltage fluctuation data within a specific load range and the remaining power data of the battery.

[0119] Furthermore, the method for determining the power supply strategy of the storage battery is as follows: Based on the voltage variation data, the variation of the generator terminal voltage within a specific load range is determined, and the monitoring time for the fluctuation of the generator terminal voltage within the specific load range is determined based on the variation data. Based on the fluctuation monitoring time data in different output current ranges, determine the number of fluctuation monitoring times in different output current ranges; By using the monitoring data of the fluctuation of the generator terminal voltage in a specific load range, the number of monitoring times of fluctuation in different output current ranges, and the remaining power data of the battery, the power supply processing strategy of the battery is determined.

[0120] Optionally, if the number of untested accelerated loading stages does not meet the requirement of not less than 3, the battery capacity is charged to 100% during the current static load test stage, specifically through a diesel generator. Additionally, it is understood that if the number of untested accelerated loading phases meets the requirements, it is necessary to further determine the monitoring time of the terminal voltage fluctuation within a specific loading range. That is, the monitoring time of the terminal voltage fluctuation within a loading range where the deviation between the maximum endpoint value of the loading range of the previous accelerated loading phase and the minimum endpoint value of the loading range of the next accelerated loading phase is no greater than 3%. If the number of terminal voltage fluctuation monitoring times does not meet the requirements, and in a possible embodiment it is not less than 4, it indicates that if the battery is not used for coordinated power supply, it will inevitably lead to a high degree of fluctuation in the terminal voltage. Therefore, in the current static load test phase, the battery is charged to 100%, specifically through the diesel generator for energy storage. Furthermore, if the number of monitoring moments for fluctuations in the terminal voltage within a specific load range meets the requirements, then the absolute value of the deviation between the maximum value of the endpoint of the output current range where the number of monitoring moments does not meet the requirements and the maximum value of the endpoint of the adjacent output current range where the number of monitoring moments meets the requirements is determined. In one possible embodiment, the adjacent output current range where the number of monitoring moments meets the requirements is the output current range where the absolute value of the deviation between the maximum value of the endpoint and the maximum value of the endpoint of the output current range where the number of monitoring moments does not meet the requirements is the smallest.

[0121] Based on the absolute value of the deviation, the difficult adjustment intervals in the output current intervals where the number of fluctuation monitoring times does not meet the requirements are determined. In one possible embodiment, when the ratio of the absolute value of the deviation to the maximum value of the endpoint of the output current interval where the number of fluctuation monitoring times does not meet the requirements is greater than 10%, the adjustment current is relatively large, so it is regarded as the difficult interval. When the number of difficult adjustment intervals does not meet the requirements, that is, more than 7, it is more difficult to use the battery for coordinated adjustment, and a large current needs to be added. Therefore, on this basis, in the current static load test stage, the battery is charged to 100%, specifically through the energy storage process of the diesel generator. Additionally, it should be noted that when the number of difficult-to-identify intervals meets the requirements or there are no difficult-to-identify intervals, it is then determined whether the remaining charge of the battery meets the requirements. Specifically, this is determined by the maximum deviation between the maximum value of the endpoint of the output current interval where the number of fluctuation monitoring times does not meet the requirements and the maximum value of the endpoint of the adjacent output current interval where the number of fluctuation monitoring times meets the requirements. Specifically, the power supply requirement is determined by multiplying the maximum value, the rated supply voltage, and the duration of the untested accelerated loading phase. If the remaining charge is not less than the power supply requirement, then to avoid frequent charging and discharging of the battery, no energy storage treatment is required in the current static load test phase. If the remaining charge is not less than the power supply requirement, then the battery charge is stored to 100% in the current static load test phase, specifically through a diesel generator.

[0122] This embodiment aims to address a more complex predictive energy management problem in static load test power supply systems: whether and when it is necessary to start the diesel generator during test intervals (static load phase) to preventively charge the battery to 100% to meet potential collaborative power supply demands during subsequent accelerated loading phases. The core logic of this method is to construct a multi-layered risk assessment framework, sequentially evaluating "future workload," "historical voltage stability patterns," "current regulation feasibility," and "sufficiency of existing power reserves." Only after passing all risk assessments at each layer is the battery allowed to maintain its current charge level; if any risk at any layer is triggered, a preventative charging procedure to 100% will be initiated during the current static load phase to ensure high reliability of power supply for subsequent tests.

[0123] Step 1: Data Foundation and Risk Level Definition: Core input: Future task load: Number of untested accelerated loading phases.

[0124] Historical stability graph of generator: The number of monitoring moments for fluctuations within a specific load range: reflects the voltage instability tendency of the generator under a specific load rate.

[0125] Number of monitoring times for fluctuations within different output current ranges: reflects the voltage instability tendency of the generator under a specific output current.

[0126] Battery status: Remaining charge (SOC).

[0127] Risk assessment levels: L1 Risk (Task Volume Risk): Too many high-pressure tasks to follow.

[0128] L2 risk (stability risk): Historical data shows that the upcoming operating conditions are extremely unstable.

[0129] L3 risk (adjustment feasibility risk): Even if intervention is implemented, the required adjustment current is too large and exceeds the reasonable range.

[0130] L4 risk (energy reserve risk): The existing energy supply is insufficient to support the estimated regulation demand.

[0131] Step Two: Multi-level Risk Assessment and Decision-making Process Decision-making process and logic: Level 1 Assessment (L1: Future Task Volume Risk Assessment) Condition: The number of unexecuted accelerated loading phases is ≥ 3.

[0132] Decision: Trigger energy storage. Charge the battery to 100% during the current static load phase.

[0133] Logic: The mission will subsequently face multiple (≥3) consecutive high-load, high-dynamic acceleration phases. This indicates a prolonged and high-intensity demand for coordinated power supply. To ensure sufficient battery support throughout the mission sequence, it must be raised to its highest readiness state (100% SOC). This is a conservative preventative strategy based on mission complexity.

[0134] Second-level assessment (L2: Historical stability risk assessment): Triggering condition: Passing L1 evaluation (i.e., future stage number < 3).

[0135] Analysis: Focus on the upcoming next accelerated loading phase. Calculate the number of fluctuation monitoring moments within a specific loading range, specifically the number of terminal voltage fluctuation monitoring moments within a loading range where the deviation between the maximum endpoint value of the loading range in the previous accelerated loading phase and the minimum endpoint value of the loading range in the next accelerated loading phase is no greater than 3%.

[0136] Condition: If the quantity is ≥ 4.

[0137] Decision: Trigger energy storage.

[0138] Logic: Although load growth is gradual, historical data clearly shows frequent voltage instability (≥4 times) during periods of accelerated load balancing. This strongly suggests that the generator itself is inherently unstable at this operating point, even with small load jumps. Without prior reinforcement of the backup power supply (fully charged batteries), voltage fluctuations in subsequent phases are almost inevitable. Therefore, charging is necessary.

[0139] Third-level assessment (L3: Adjustment feasibility risk assessment): Triggering condition: Passing L2 evaluation (i.e., historical fluctuations are not significant).

[0140] Analysis: Examine all "vulnerable current intervals" with ≥ 6 fluctuation monitoring times. For each vulnerable interval, find its nearest "stable current interval" with < 6 fluctuation monitoring times. Calculate the absolute value (ΔI) of the deviation between the maximum values ​​at their endpoints.

[0141] Identifying "Difficult Adjustment Ranges": If the maximum current value of ΔI / vulnerable range is >10%, then the range is considered a "difficult adjustment range." This means that adjusting the generator operating point from the "vulnerable range" to the nearest "safe range" requires changing the rated current by more than 10%, which is a significant adjustment range.

[0142] Condition: If the number of "difficult adjustment intervals" is ≥ 7.

[0143] Decision: Trigger energy storage.

[0144] Logic: Numerous vulnerabilities exist that require substantial current compensation to mitigate. This indicates that the generator's vulnerable operating conditions are widely distributed and far from the stable point. The overall difficulty and total compensation energy required for precise current compensation relying on batteries are extremely high. To address this challenging global regulation, it is essential to ensure the batteries are in optimal condition (100% SOC) to provide maximum regulation margin and flexibility.

[0145] Level 4 assessment (L4: Energy reserve adequacy assessment): Triggering conditions: Passing the first three levels of assessment (i.e., the risk is low and relying on a precise compensation strategy is feasible).

[0146] analyze: Estimate the maximum single regulation requirement: Find the maximum current deviation ΔI_max between all vulnerable intervals and their nearest stable interval.

[0147] Estimate total regulation energy requirement: Power supply requirement = ΔI_max * Rated supply voltage * Total duration of the untested accelerated loading phase. This is a conservative estimate, assuming that each regulation requires the maximum deviation current and continues throughout the entire subsequent test period.

[0148] Condition: If the remaining battery power is less than the power required for power supply.

[0149] Decision: Trigger energy storage.

[0150] Logic: This is the final and most meticulous "economic" check. Even if the aforementioned structural risks are low, there is still a risk of the battery running out of power if the current battery capacity is insufficient to cover the theoretically worst-case energy consumption. Therefore, charging is necessary.

[0151] Conversely, if the remaining power is greater than or equal to the power demand, then the existing power is considered sufficient, and there is no need to perform energy storage during the current static load phase, so as to avoid unnecessary charging cycles and extend battery life.

[0152] Construct a systematic preventive decision-making framework: break down the complex decision of "whether to charge" into four distinct and logically progressive risk assessment questions (task volume → stability → adjustment difficulty → power reserve), making the decision-making process transparent, traceable, and adjustable.

[0153] Achieving risk grading and precise response: Different levels of risk correspond to different charging necessities. L1 risk (heavy workload) and L3 risk (difficult to adjust) require "must charge"; L2 risk (historical instability) means "likely to need charging"; L4 risk (insufficient battery) means "only charge when calculated to be insufficient". This grading achieves a match between resources (charging behavior) and risk levels.

[0154] Balancing reliability and economy: This method ensures extremely high power supply reliability (actively responding to various risks) while also avoiding unnecessary frequent charging (when the battery is fully charged) through L4 evaluation, which helps to extend the battery cycle life and reflects the idea of ​​optimizing the entire life cycle cost.

[0155] Deeply leveraging the value of data: Decision-making relies almost entirely on in-depth mining and modeling of historical operating data (voltage fluctuations, current ranges, load), transforming data into insights into equipment performance and predictions of future risks, making it a model of data-driven decision-making.

[0156] This method elevates battery charging management during static load test intervals from an operation based on fixed rules or simple SOC thresholds to an intelligent predictive energy management strategy based on multi-dimensional risk assessment. It ensures that the power supply system is in optimal energy readiness for any complex subsequent tests, maximizing the probability of test success.

[0157] Example 2 In a second aspect, the present invention provides a computer system comprising: a memory and a processor connected in communication, and a computer program stored in the memory and capable of running on the processor, wherein the processor executes the power supply control method of the static load test loading control device described above when running the computer program.

[0158] The various embodiments in this specification are described in a progressive manner. Similar or identical parts between embodiments can be referred to mutually. Each embodiment focuses on describing the differences from other embodiments. In particular, the embodiments of apparatus, devices, and non-volatile computer storage media are basically similar to the method embodiments, so the descriptions are relatively simple; relevant parts can be referred to the descriptions of the method embodiments.

[0159] The foregoing has described specific embodiments of this specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recited in the claims may be performed in a different order than that shown in the embodiments and may still achieve the desired result. Furthermore, the processes depicted in the drawings do not necessarily require the specific or sequential order shown to achieve the desired result. In some embodiments, multitasking and parallel processing are possible or may be advantageous.

[0160] The above description is merely one or more embodiments of this specification and is not intended to limit this specification. Various modifications and variations can be made to the one or more embodiments of this specification by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principle of one or more embodiments of this specification should be included within the scope of the claims of this specification.

Claims

1. A power supply control method of a static load test loading control device, characterized by, Specifically comprising: acquiring the residual oil amount of the diesel generator of the loading control device of the static load test, determining the variation data of the terminal voltage based on the monitoring variation of the residual oil amount, determining the variation data of the terminal voltage based on the monitoring data of the terminal voltage in the acceleration loading stage when the battery can be used for joint power supply processing; determining the cooperative power supply processing strategy of the battery based on the variation data and the loading amount data of the residual acceleration loading stage when the battery needs to be charged in the next static load test stage, using the battery and the diesel generator for joint power supply processing in the acceleration loading stage based on the cooperative power supply processing strategy, and determining the voltage variation data of the diesel generator in the output current interval based on the joint power supply processing result; determining the power supply processing strategy of the battery based on the voltage variation data in a specific loading amount interval and the residual capacity data of the battery.

2. The power supply control method of the dead load test loading control device according to claim 1, characterized by, The residual oil amount of the diesel generator is determined according to the oil amount monitoring meter of the diesel generator.

3. The power supply control method of the dead load test loading control device according to claim 1, characterized by, The variation of the residual capacity is determined according to the oil consumption in a unit time interval in the static load test.

4. The power supply control method of the dead load test loading control device according to claim 1, characterized by, Specifically comprising: determining the oil consumption of the diesel generator in a unit time interval based on the monitoring variation of the residual oil amount; determining the predicted working time of the diesel generator based on the oil consumption and the residual oil amount; determining whether the battery can be used for joint power supply processing by using the predicted working time.

5. The power supply control method of the dead load test loading control device according to claim 4, characterized by, When the predicted working time does not meet the requirements, it is determined that the battery cannot be used for joint power supply processing at this time.

6. The power supply control method of the dead load test loading control device according to claim 1, wherein The variation data of the terminal voltage is determined according to the variation rate of the terminal voltage between adjacent time points in the acceleration loading stage of the terminal voltage.

7. The power supply control method of the dead load test loading control device according to claim 1, characterized by, Specifically comprising: determining the variation rate of the terminal voltage between adjacent time points in the acceleration loading stage based on the variation data; determining the fluctuation monitoring time point of the terminal voltage according to the variation rate; determining whether the battery needs to be charged in the next static load test stage by using the fluctuation monitoring time point data in the existing different acceleration loading stages.

8. The power supply control method of the dead load test loading control device according to claim 1, characterized by, The method for determining the power supply processing strategy of the battery is: determining the variation of the terminal voltage of the diesel generator in a specific loading amount interval based on the voltage variation data, and determining the fluctuation monitoring time point of the terminal voltage in a specific loading amount interval based on the variation; determining the number of fluctuation monitoring time points in different output current intervals based on the fluctuation monitoring time point data in different output current intervals; determining the power supply processing strategy of the battery by using the fluctuation monitoring time point data of the terminal voltage of the diesel generator in a specific loading amount interval, the number of fluctuation monitoring time points in different output current intervals, and the residual capacity data of the battery.

9. The power supply control method of the dead load test loading control device according to claim 8, characterized by, If the number of the non-test accelerated loading phases does not meet the requirement, the battery is charged to 100% in the current static loading test phase.

10. A computer system comprising: The memory and the processor connected with the communication, and the computer program stored in the memory and capable of running on the processor, characterized in that the processor executes the computer program to perform the power supply control method of the static loading test loading control device according to any one of claims 1-9.

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