Intelligent charging and discharging management method and system for universal interface of unmanned equipment

Abstract

The invention belongs to the technical field of charging and discharging control, and particularly relates to an intelligent charging and discharging management method and system for a universal interface of unmanned equipment, and the method comprises the steps: injecting a slope scanning voltage into an interface end part, and calculating an interface tunneling index based on a feedback current mapping sequence; calculating an instability entropy weight in combination with the environment humidity and the interface voltage; determining an admission control current based on the interface tunneling index, the instability entropy weight and the maximum current of the battery; the pressure fluctuation rate is monitored in real time, and the current rising slope is lowered when the pressure fluctuation rate exceeds a disturbance threshold value. According to the method, closed-loop cooperation of the current rising slope and the film layer ablation rate is achieved by sensing the oxidation film microcosmic conduction mechanism and locking the physical instability energy window, the problems of contact ablation and interface damage caused by blind breakdown in the prior art are solved, the interface plugging service life is remarkably prolonged, and the supply safety is remarkably improved.

Description

Technical Field

[0001] This invention relates to the field of charge and discharge control technology. More specifically, this invention relates to an intelligent charge and discharge management method and system for a universal interface for unmanned equipment. Background Technology

[0002] Connecting drones to ground-based autonomous charging stations via a universal interface is a crucial step in automating swarm operations. In practical applications, the power transmission system of this universal interface typically employs a direct-contact mechanical structure, with its charging logic following a constant-current or constant-voltage mode switching after physical locking. Because unmanned systems are exposed to the open environment for extended periods, a composite non-conductive thin film, ranging in thickness from nanometers to micrometers, forms on the metal surface of the contact points before physical contact due to oxidation, sulfidation, and the physical adsorption of polar molecules from the air. This oxide film exhibits typical nonlinear varistor characteristics, with its conductivity mechanism dynamically evolving between tunneling, Schottky emission, and avalanche breakdown depending on the applied electric field strength.

[0003] Existing technologies, when dealing with such non-ideal contact interfaces, typically only collect the total terminal voltage and total circuit current of the charging circuit and calculate the equivalent impedance. This macroscopic calculation method cannot accurately determine whether the voltage drop is caused by battery polarization or poor quality of the universal interface connection. During the energy connection startup phase, existing technologies often use a fixed voltage step to start charging. When the charge accumulation exceeds the critical breakdown field strength of the oxide film, it can induce microscale localized plasma discharge, causing micro-regional vaporization on the contact metal surface and forming irreversible ablation pits. This damage not only causes the contact resistance to increase exponentially with the number of insertions and removals, but may also lead to thermal melting accidents of the universal interface during continuous high-current replenishment.

[0004] Furthermore, existing solutions lack effective decoupling from variables such as environmental humidity, making it impossible to adaptively adjust the access current boundary under different climatic conditions. Because the microscopic physical state of the oxide film cannot be sensed, the system struggles to control the pace of energy release, leading to severe physical impacts and electric arcs during the oxide film breakdown process. This not only reduces the safety of the resupply process but also significantly shortens the hardware lifespan of the universal interface, becoming a core technological bottleneck limiting the reliable automatic resupply of UAV swarms in complex field conditions. Summary of the Invention

[0005] To address the technical problem that the existing technology cannot accurately identify the microscopic state of the oxide film of the universal interface, which leads to blind breakdown and causes contact ablation and damage to the universal interface, the present invention provides solutions in the following aspects.

[0006] In a first aspect, the present invention provides an intelligent charging and discharging management method for a universal interface of unmanned equipment, comprising: injecting a ramp scanning voltage into the end of the universal interface, obtaining a feedback current using a sampling resistor, and calculating an interface tunneling index based on a mapping sequence of the ramp scanning voltage and the feedback current; acquiring ambient humidity and real-time interface voltage in real time, and calculating an instability entropy weight based on ambient humidity, real-time interface voltage, and interface tunneling index; determining an access control current for controlling the rising slope of the main power circuit current based on the interface tunneling index, the instability entropy weight, and the maximum charging current of the UAV battery; acquiring pressure sensor data built into the locking mechanism in real time, calculating the pressure fluctuation rate using a sliding window differential method, and when the pressure fluctuation rate exceeds a preset disturbance threshold, calling a preset second-order damping factor to lower the rising slope of the access control current to achieve power transmission.

[0007] This invention achieves the pre-determination of the microscopic conductivity mechanism of the film layer by applying a subthreshold ramp scanning voltage and extracting the interface tunneling index in the early stage of physical contact. Combined with the dynamic locking of the energy window for oxide film ablation by instability entropy weight, the admission control current can adaptively adjust the rising slope according to the real-time state of the film layer, thereby avoiding the arc erosion caused by blindly applying pressure in the prior art and protecting the physical morphology of the contact.

[0008] Preferably, the formula for calculating the interface tunneling index is: In the formula, The tunneling index of the interface; For feedback current; This is the ramp scan voltage; This is the differential term of the logarithm of the feedback current; This is the differential term of the logarithm of the ramp scan voltage.

[0009] This invention significantly amplifies the nonlinear slope difference in the evolution of the interfacial conductivity mechanism from tunneling effect to ohmic contact by performing logarithmic space differentiation on the current and voltage mapping sequence, enabling the system to quantify the density of the oxide film with high sensitivity.

[0010] Preferably, the formula for calculating the instability entropy weight is: In the formula, For unstable entropy weight; It is the electrochemical coupling conversion constant; It is a natural exponential function; Real-time voltage of the interface; Unit voltage; The tunneling index of the interface; It is the natural logarithm function; This is the humidity-sensitive compensation coefficient; For ambient humidity; This is the second-order partial derivative of the feedback current with respect to the real-time voltage of the interface; This is the feedback current.

[0011] This invention utilizes second-order partial derivative terms to capture the abrupt changes in current with voltage fluctuations and incorporates environmental humidity for correction, ensuring accurate identification of the critical state of carrier channel formation under different outdoor climates and preventing the failure of instability window determination due to humidity interference.

[0012] Preferably, the formula for calculating the admission control current is: In the formula, For access control current; Maximum charging current for drone batteries; It is a natural exponential function; For unstable entropy weight; The impedance of the loop system; Unit impedance; This is the critical threshold for instability; This is the interface self-cleaning correction factor; The interface tunneling index.

[0013] This invention utilizes a negative exponential mapping function to transform the microscopic degree of instability into a control envelope of macroscopic current, enabling the current growth to be highly synchronized with the controlled physical instability process of the oxide film, thus achieving a smooth switching from a high-resistance insulating state to a high-current conducting state.

[0014] Preferably, the calculation of pressure fluctuation rate using the sliding window difference method includes: the system continuously collecting and acquiring the real-time pressure value at the current sampling moment and the historical pressure value immediately preceding the previous sampling moment according to a preset sampling frequency; calculating the absolute value of the difference between the real-time pressure value and the historical pressure value, and multiplying the absolute value of the difference by the sampling frequency to obtain the instantaneous rate of change of pressure over time; subsequently, normalizing the instantaneous rate of change by dividing it by a preset rated locking pressure value to obtain the pressure fluctuation rate reflecting the severity of pressure fluctuations.

[0015] Preferably, the method for setting the second-order damping factor is as follows: by simulating gusts of wind of different intensities on a vibration table, observing the overshoot of the access control current of the universal interface when pressure fluctuates, and using the critical damping tuning method to determine the parameter value that makes the current rise most smoothly and without obvious oscillation, as the second-order damping factor.

[0016] Preferably, the step of calling a preset second-order damping factor to reduce the rising slope of the access control current includes: introducing a damping response term containing a second-order damping factor into the current control loop, thereby transforming the linear growth of the access control current into a gradual growth controlled by the second-order damping factor.

[0017] Preferably, the real-time output value of the admission control current follows a damped response curve: In the formula, The target value for the access control current; For access control current; It is the second-order damping factor; For damping adjustment strength; It is a natural exponential function; This represents the cumulative execution time of the dynamic damping process.

[0018] This invention introduces a damping response curve calculation formula that incorporates a time variable, achieving closed-loop control where the suppression intensity smoothly decays over time. As the disturbance time progresses, the damping constraint is released exponentially and smoothly, ensuring that after the pressure stabilizes, the current can seamlessly and without impact recover to the target replenishment level, balancing safety protection and energy transfer efficiency.

[0019] Preferably, the disturbance threshold is set by: simulating gust conditions and monitoring the contact resistance jump frequency of the universal interface under different pressure fluctuation amplitudes, and selecting the critical point of pressure change rate where the contact impedance fluctuation exceeds a preset ratio as the disturbance threshold.

[0020] In a second aspect, the present invention provides an intelligent charging and discharging management system for a universal interface for unmanned equipment, comprising a processor and a memory, wherein the memory stores computer program instructions, and when the computer program instructions are executed by the processor, the aforementioned intelligent charging and discharging management method for a universal interface for unmanned equipment is implemented.

[0021] By adopting the above technical solution, a computer program is generated from the above-mentioned intelligent charging and discharging management method for a universal interface of unmanned equipment, and stored in a memory so that it can be loaded and executed by a processor. In this way, a terminal device can be made based on the memory and the processor for convenient use.

[0022] The beneficial effects of this invention are as follows: This invention achieves quantitative sensing of the microscopic conductivity mechanism of the oxide film on the surface of a universal interface contact by injecting a ramp scanning voltage and extracting the interface tunneling index at the initial stage of universal interface connection, solving the problem that macroscopic impedance measurements cannot distinguish the source of voltage drop. By constructing an instability entropy weight model by combining ambient humidity and real-time interface voltage, this invention can accurately capture the energy nodes where the oxide film undergoes physical instability, thereby driving the main power circuit to generate an access control current that matches the film ablation rate. This operation eliminates the charge accumulation conditions that generate instantaneous arcs at the physical level, realizing soft-start ablation of the thin film using micro-region Joule heating. The dynamic effect eliminates contact erosion and micro-area vaporization caused by blind breakdown. At the same time, the invention introduces pressure fluctuation rate correction logic, which suppresses contact impedance jumps caused by external gust interference by adjusting the rising slope of the access control current in real time, ensuring that the heat flux during energy transmission is always within the safe threshold range. This closed-loop management mechanism not only realizes the leap from blind access to sensing access in power connection, greatly improving the loss resistance and plug-in life of the general interface, but also significantly enhances the safety and reliability of automatic resupply of UAV swarms in complex and ever-changing field conditions. Attached Figure Description

[0023] Figure 1 This is a flowchart illustrating an intelligent charging and discharging management method for a universal interface of unmanned equipment according to the present invention; Figure 2 This is a schematic diagram illustrating the scanning of the nonlinear conductance characteristics of the interface; Figure 3 This is a schematic diagram showing the comparison of the interface tunneling index extraction results; Figure 4 This is a schematic diagram illustrating the evolution of instability entropy weight and adaptive adjustment of the admission control current; Figure 5 It is a schematic diagram illustrating the comparison of beneficial effects and the verification of physical integrity protection of interface contacts. Detailed Implementation

[0024] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0025] The specific embodiments of the present invention will now be described in detail with reference to the accompanying drawings.

[0026] This invention discloses an intelligent charging and discharging management method for a universal interface of unmanned equipment, referring to... Figure 1 This includes steps S1-S4: S1. Inject ramp scanning voltage into the general interface end, obtain feedback current, and calculate the interface tunneling index.

[0027] It should be noted that at the moment of mechanical locking, due to the isolation effect of the membrane layer, the interface physical characteristics of the unmanned system interface exhibit quantum confinement characteristics of high resistance. If the main power circuit is blindly connected at this time, it will cause severe interface damage, resulting in electrochemical ablation of the contact surface. Therefore, this invention first extracts the intrinsic physical parameters of the membrane layer by applying subthreshold frequency sweep detection, providing a precise digital foundation for subsequent energy access.

[0028] Specifically, after the locking mechanism sensor sends a positioning signal, the control system calls upon a built-in precision controlled current source to inject a ramp scanning voltage into the universal interface terminal. The unit is volts; feedback current is obtained in real time using a high-sensitivity sampling resistor. The unit is amperes; based on the ramp scan voltage. With feedback current Based on the mapping sequence, an interface nonlinear conductivity characteristic model is established, and the interface tunneling index is calculated. .

[0029] Among them, the interface tunneling index The formula for calculation is:

[0030] In the formula, The tunneling index of the interface; For feedback current; This is the ramp scan voltage; This is the differential term of the logarithm of the feedback current; This is the differential term of the logarithm of the ramp scan voltage.

[0031] The calculation formula characterizes the physical rate of the interface conductivity mechanism transitioning from tunneling current to Ohmic current by performing a logarithmic space differential operator transformation on the characteristic curves of the feedback current and ramp scan voltage; when the interface tunneling index... When it is significantly greater than 1, it represents the feedback current. With ramp scan voltage The increase in the interfacial tunneling index exhibits a superlinear growth trend, which physically represents that the contact surface is covered by a continuous and dense insulating oxide layer, and the conductivity mechanism is dominated by the quantum tunneling effect; by extracting the interfacial tunneling index... This invention enables the quantitative determination of the degree of contamination of a universal interface without damaging the film.

[0032] For example, Figure 2This diagram illustrates the nonlinear conductivity characteristics of the interface, showing the feedback current response obtained by the system performing subthreshold voltage scanning on the interface under different physical states. The diagram contains three curves with different slopes and curvatures, corresponding to the ideal state, lightly contaminated state, and heavily oxidized state of the interface, respectively. Among them, the curve corresponding to the heavily oxidized state exhibits significant nonlinear power function characteristics, characterizing the enhanced electron tunneling effect inside the oxide film layer, and providing intrinsic data support for the extraction of the interface tunneling index.

[0033] For example, Figure 3 The results of the interface tunneling index extraction are presented in a bar chart, showing the calculated interface tunneling index for each interface state. The horizontal axis represents different interface physical states, and the vertical axis represents the value of the tunneling index. There is a horizontal dashed line in the figure representing the critical characteristics of ohmic conduction. When the extracted interface tunneling index is higher than the value corresponding to the dashed line, it is determined that there is a non-inductive barrier film layer at the interface. The larger the index value, the stronger the insulation strength and nonlinear conductivity characteristics of the film layer.

[0034] S2: Based on ambient humidity, real-time interface voltage, and interface tunneling index, the instability entropy weight is calculated.

[0035] It should be noted that the cleaning of oxide films should not rely on high-pressure forced breakdown, as forced breakdown will generate instantaneous high-temperature micro-sprays, resulting in damage to the physical morphology of the contacts. Therefore, this invention utilizes the micro-region Joule heating generated by current carrying to cause controlled instability of its physical properties. By constructing an instability entropy weight index, the trend of the interfacial film layer transforming from an ordered solid structure to a quasi-liquid molten state is quantified, thereby achieving stable ablation.

[0036] Specifically, the control system calls the sensor interface in real time to obtain the ambient humidity. and interface real-time voltage Combined with the interface tunneling index Calculate the instability entropy weight .

[0037] Among them, the unstable entropy weight The formula for calculation is:

[0038] In the formula, For unstable entropy weight; It is the electrochemical coupling conversion constant; It is a natural exponential function; Real-time voltage of the interface; This is a unit voltage, measured in volts, with a value of 1. It is used to convert the real-time interface voltage into a dimensionless scale. The tunneling index of the interface; It is the natural logarithm function; This is the humidity-sensitive compensation coefficient; Environmental humidity, expressed as a percentage, dimensionless; This is the second-order partial derivative of the feedback current with respect to the real-time voltage of the interface; This is the feedback current.

[0039] The calculation formula incorporates ambient humidity. The variables correct for the interfacial water film conductivity, and the feedback current is captured through the second-order partial derivative term. Real-time voltage of the interface Volatility mutation point; when instability occurs in entropy weight An increase indicates the current ambient humidity. Below, with the real-time voltage of the interface As the temperature rises, the microscopic carrier channels inside the film are rapidly forming, and the oxide film branches possess the critical conditions for low-voltage conduction; through the instability entropy weighting Through real-time monitoring, this invention can accurately pinpoint the energy window at which the physical properties of the film layer become unstable.

[0040] Among them, the electrochemical coupling conversion constant The logical weights used to correct the influence of oxygen evolution potential on the electrochemical stability of the film layer by different metal electrode materials characterize the macroscopic proportion of the conversion of interfacial polarization current to tunneling current. The results were determined through calibration experiments, including: leakage current testing under constant voltage on universal interfaces of different materials such as copper-plated gold, silver, and nickel; measurement of the limiting current density when polarization desorption occurs in the film layer using an electrochemical workstation; establishment of its mapping relationship with tunneling current; and fitting of current evolution curves under different materials using the least squares method to determine the electrochemical coupling conversion constant.

[0041] Wherein, the humidity sensitivity compensation coefficient This is a correction factor used to compensate for the formation of a monomolecular water layer on the oxide film surface due to ambient humidity, thereby altering the distribution of the interfacial micro-electric field. If this value is set too small, the system will underestimate the self-discharge effect of the water film in a humid environment, leading to an overload of ablation energy and inducing ablation. If it is set too large, it will excessively suppress energy output in a dry environment, resulting in low ablation efficiency. Therefore, its value is set between 0.6 and 1.0, and in this embodiment it is set to 0.85. In other embodiments, the humidity-sensitive compensation coefficient is set between 0.6 and 1.0 according to the actual situation.

[0042] S3: Determine the admission control current based on the interface tunneling index, instability entropy weight, and the maximum battery charging current.

[0043] It should be noted that in order to achieve maximum power supply without damaging the hardware, the sudden change in contact impedance will cause instantaneous current jumps and electromagnetic interference. Therefore, the system needs to preprocess the current rise slope of the main power circuit based on the interface physical characteristics extracted in the previous steps, and smooth out physical shocks by constructing a dynamic current envelope to achieve closed-loop coordination between energy flow and physical carrying capacity.

[0044] Specifically, using the interface tunneling index With unstable entropy weight Determine the admission control current .

[0045] Wherein, the admission control current The formula for calculation is:

[0046] In the formula, For access control current; Maximum charging current for drone batteries; It is a natural exponential function; For unstable entropy weight; The impedance of the loop system; It is the unit impedance, with the unit being ohms and a value equal to 1. It is used to convert the impedance of a loop system into a dimensionless proportion. This is the critical threshold for instability; This is the interface self-cleaning correction factor; The interface tunneling index.

[0047] The calculation formula constructs a soft-start current envelope with physical feedback properties through a negative exponential mapping function; when the interface tunneling index... A larger value indicates a thicker film layer, resulting in a smaller fractional term at the end of the calculation, which in turn reduces the initial access control current. Confined to a lower level to provide uniform thermal energy ablation of the film; with the destabilization of entropy weight Gradually increases and approaches the instability critical threshold The exponential term in the calculation formula increases dramatically, causing the compensation coefficient within the parentheses to rapidly approach 1, thereby driving the access control current. Smoothly release to the drone battery's maximum charging current The level.

[0048] Wherein, the instability critical threshold It is the physical watershed that defines the transformation of the oxide film from the insulating state to the controlled conductive state, representing the maximum energy density point when the film undergoes spontaneous physical ablation rather than spark breakdown. It is determined through calibration experiments, including: artificially preparing aluminum oxide films of different thicknesses on the interface surface and placing them in a salt spray chamber with specific humidity, dynamically applying electrical excitation and using an infrared thermal imager to capture the instantaneous temperature rise characteristics of the conduction channels formed in the film, determining the energy value of the ablation critical point, and introducing a stability guarantee coefficient of 0.85 to obtain the instability critical threshold.

[0049] Wherein, the interface self-cleaning correction coefficient The compensation factor, measured in amperes, is used to quantify the efficiency of physical migration, reorganization, and ablation of the film layer during the initial formation of a low-resistivity conductive channel using Joule heating. It is determined through calibration experiments, including: recording the impedance drop curves of the contaminated interface under different preheating currents, calculating the total amount of charge flowing through the interface when the contact resistance drops to the reference value using integration, establishing a correlation model between the amount of charge and the impedance drop rate, and thus determining the interface self-cleaning correction coefficient.

[0050] For example, Figure 4 This diagram illustrates the evolution of instability entropy weight and adaptive adjustment of access control current, showcasing the co-evolution relationship between the extracted instability entropy weight and the generated access control current over time during the heavily oxidized interface connection process. The diagram includes a dashed line with an S-shaped upward trend, corresponding to the dynamic evolution trajectory of the instability entropy weight, characterizing the degree of instability of the film's physical structure under energy injection. Another solid line in the diagram, exhibiting a smooth envelope release trend, corresponds to the system's output access control current. This diagram intuitively reflects how the access control current achieves smooth energy release through nonlinear mapping as the instability entropy weight approaches the critical instability threshold.

[0051] S4: Real-time acquisition of pressure sensor data, calculation of pressure fluctuation rate, and adjustment of the rising slope of the input control current.

[0052] It should be noted that when the drone is resupplying outdoors, the vibration of the fuselage caused by gusts of wind causes high-frequency micro-fluctuations in the contact pressure, resulting in irregular jumps in the contact impedance; therefore, pressure mode correction logic needs to be introduced to ensure the stability of the current output.

[0053] Specifically, the system collects pressure sensor data built into the locking mechanism in real time and calculates the pressure fluctuation rate using the sliding window difference method. The pressure fluctuation rate The calculation process is as follows: The control system uses a sampling frequency = Continuously acquire the output value of the pressure sensor Using calculation formulas Calculate the rate of change of relative pressure per unit time, where, This is the pressure value at the previous sampling time. Rated locking pressure; This indicates taking the absolute value; through this dynamic difference operator, the system can accurately capture the instantaneous jump in contact stress caused by gusts of wind or mechanical micro-motion.

[0054] Furthermore, when the pressure volatility When the disturbance threshold is exceeded, the system invokes a preset second-order damping factor. Automatically reduce the access control current The rising slope.

[0055] Wherein, the second-order damping factor This value is used to define the damping response characteristics of the control system in suppressing nonlinear oscillations in the access control current when a mechanical disturbance is detected. If this value is set too small, the system will not be able to suppress pressure fluctuations sufficiently, which may cause the current to oscillate violently with impedance jumps, generating instantaneous arcs. If it is set too large, the current rise response will be too slow, which will seriously slow down the charging access process. Therefore, its value is set to be between 0.6 and 1.2. In this embodiment, it is set to 0.85. In other embodiments, the second-order damping factor is set between 0.6 and 1.2 according to the actual situation.

[0056] The disturbance threshold is used to define the logic parameters of whether contact pressure fluctuations are sufficient to damage the established conductive branch. A vibration table is used to simulate gusts of wind at levels 3-5, and the contact resistance jump frequency of the general interface under different pressure fluctuation amplitudes is observed. The critical point of pressure change rate that causes impedance fluctuations to exceed 10% is selected as the disturbance threshold.

[0057] The specific calling logic is as follows: a dynamic damping term is introduced into the current control loop, modifying the original linear current growth command into a damped asymptotic command; when the pressure fluctuation rate... When the disturbance threshold is exceeded, the system adjusts the step increment of the output current to adjust the real-time output value of the access control current. Follow the damped response curve:

[0058] In the formula, The target value for the access control current; For access control current; It is the second-order damping factor; For damping adjustment strength; It is a natural exponential function; This is the cumulative execution time of the dynamic damping process; by increasing the damping effect, the slope of the current rise curve is forcibly flattened, transforming it from a steep rise to a gentle approach.

[0059] Wherein, the damping adjustment strength This determines how quickly the dynamic damping term decays over time, i.e., the speed at which the system recovers from a disturbance suppression state to a full-power transmission state. If this value is set too small, the damping term decays too slowly, causing the current to fail to reach the target value for a long time even after the pressure returns to normal. If it is set too large, the damping term disappears too quickly, which can easily introduce secondary shock oscillations before the pressure has fully stabilized. The setting is based on the sampling period of the control system. In this embodiment, the sampling period of the control system is 10ms (milliseconds), so the damping adjustment intensity is usually set between 5.0 and 15.0, with the unit being 1 / s (second). In this embodiment, it is set to 10.0 to ensure that the damping effect disappears smoothly within 0.5 seconds.

[0060] Under this implementation logic, when an external gust of wind causes a sudden decrease in contact pressure, although the contact resistance will increase instantaneously due to the decrease in pressure, the rising slope of the access control current is effectively limited by the forced intervention of the dynamic damping term, preventing a surge in current density at the contact point. This "safety at the expense of slope" strategy ensures that the interfacial heat flux during power transmission remains below the critical threshold for metal melting, thus maintaining the thermodynamic stability of the interface even in a dynamically fluctuating physical environment and eliminating the risk of ablation.

[0061] For example, Figure 5 To compare the beneficial effects and verify the physical integrity of the interface contacts, the diagram shows the comparison results of the cumulative thermal stress on the contact surface under the same connection scenario using the method of the present invention and the existing technical solution. The solid line with a larger slope in the figure corresponds to the high temperature rise rate curve caused by the instantaneous current jump of the interface under the existing technical solution. The solid line with a gentler slope in the figure corresponds to the temperature rise evolution curve after controlled ablation treatment under the method of the present invention. The shaded area formed between the two curves corresponds to the reduction in physical thermal damage achieved by the method of the present invention. The comparison results demonstrate that the present invention, through adaptive adjustment of the alignment control current, significantly suppresses the thermal stress impact at the moment of connection, thereby ensuring the physical integrity of the universal interface.

[0062] This invention also discloses an intelligent charging and discharging management system for a universal interface for unmanned equipment, including a processor and a memory. The memory stores computer program instructions, which, when executed by the processor, implement an intelligent charging and discharging management method for a universal interface for unmanned equipment according to the present invention.

[0063] The system also includes other components well known to those skilled in the art, such as communication buses and communication interfaces, the settings and functions of which are known in the art and will not be described in detail here.

Claims

1. A universal interface intelligent charging and discharging management method for unmanned equipment, characterized in that, include: A ramp scanning voltage is injected into the end of the general interface, and the feedback current is obtained by using a sampling resistor. The interface tunneling index is calculated based on the mapping sequence of ramp scanning voltage and feedback current. Real-time acquisition of ambient humidity and interface voltage, and calculation of instability entropy weight based on ambient humidity, interface voltage and interface tunneling index; Based on the interface tunneling index, instability entropy weight, and the maximum charging current of the UAV battery, the admission control current used to control the rise slope of the main power loop current is determined. The pressure sensor data built into the locking mechanism is collected in real time, and the pressure fluctuation rate is calculated using the sliding window differential method. When the pressure fluctuation rate exceeds the preset disturbance threshold, the preset second-order damping factor is called to reduce the rise slope of the access control current, thereby realizing power transmission.

2. The intelligent charging and discharging management method for a universal interface of unmanned equipment according to claim 1, characterized in that, The formula for calculating the interface tunneling index is: ； In the formula, The tunneling index of the interface; For feedback current; This is the ramp scan voltage; This is the differential term of the logarithm of the feedback current; This is the differential term of the logarithm of the ramp scan voltage.

3. The intelligent charging and discharging management method for a universal interface of unmanned equipment according to claim 1, characterized in that, The formula for calculating the instability entropy weight is: ； In the formula, For unstable entropy weight; It is the electrochemical coupling conversion constant; It is a natural exponential function; Real-time voltage of the interface; Unit voltage; The tunneling index of the interface; It is the natural logarithm function; This is the humidity-sensitive compensation coefficient; For ambient humidity; This is the second-order partial derivative of the feedback current with respect to the real-time voltage of the interface; This is the feedback current.

4. The intelligent charging and discharging management method for a universal interface of unmanned equipment according to claim 1, characterized in that, The formula for calculating the access control current is: ； In the formula, For access control current; Maximum charging current for drone batteries; It is a natural exponential function; For unstable entropy weight; The impedance of the loop system; Unit impedance; This is the critical threshold for instability; This is the interface self-cleaning correction factor; The interface tunneling index.

5. The intelligent charging and discharging management method for a universal interface of unmanned equipment according to claim 1, characterized in that, The calculation of pressure fluctuation rate using the sliding window difference method includes: The system continuously collects and acquires the real-time pressure value at the current sampling moment and the historical pressure value immediately preceding the previous sampling moment according to a preset sampling frequency; calculates the absolute value of the difference between the real-time pressure value and the historical pressure value, and multiplies the absolute value of the difference by the sampling frequency to obtain the instantaneous rate of change of pressure over time; then, it divides the instantaneous rate of change by a preset rated locking pressure value for normalization, thereby obtaining the pressure fluctuation rate reflecting the severity of pressure fluctuations.

6. The intelligent charging and discharging management method for a universal interface of unmanned equipment according to claim 1, characterized in that, The method for setting the second-order damping factor is as follows: By simulating gusts of wind of different intensities on a vibration table, the overshoot of the access control current of the universal interface under pressure fluctuations was observed. The parameter value that makes the current rise most smoothly and without obvious oscillation was determined by the critical damping tuning method and used as the second-order damping factor.

7. The intelligent charging and discharging management method for a universal interface of unmanned equipment according to claim 1, characterized in that, The step of lowering the rise slope of the access control current by invoking a preset second-order damping factor includes: By introducing a damping response term containing a second-order damping factor into the current control loop, the linear growth of the access control current is transformed into an asymptotic growth controlled by the second-order damping factor.

8. The intelligent charging and discharging management method for a universal interface of unmanned equipment according to claim 7, characterized in that, The real-time output value of the admission control current follows the damping response curve: ； In the formula, The target value for the access control current; For access control current; It is the second-order damping factor; For damping adjustment strength; It is a natural exponential function; This represents the cumulative execution time of the dynamic damping process.

9. The intelligent charging and discharging management method for a universal interface of unmanned equipment according to claim 1, characterized in that, The method for setting the disturbance threshold includes: Simulate gust wind conditions and monitor the contact resistance jump frequency of the universal interface under different pressure fluctuation amplitudes. Select the critical point of pressure change rate where the contact impedance fluctuation exceeds a preset ratio as the disturbance threshold.

10. A universal interface intelligent charging and discharging management system for unmanned equipment, characterized in that, include: A processor and a memory, wherein the memory stores computer program instructions, and when the computer program instructions are executed by the processor, a smart charging and discharging management method for a universal interface of unmanned equipment as described in any one of claims 1-9 is implemented.

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