Intelligent control method and system for charging pile cable based on double-phase heat dissipation

Abstract

The application discloses a charging pile cable intelligent control method and system based on double-phase change heat dissipation, and relates to the technical field of intelligent heat dissipation control.The charging pile cable intelligent control method and system based on double-phase change heat dissipation comprises the following steps: S1, periodically collecting double-phase change heat control sensing data of a charging pile cable, and performing preprocessing on the double-phase change heat control sensing data; S2, constructing a paraffin phase change heat buffer load term and a fluorinated liquid heat dissipation capacity term, quantifying a phase change heat dissipation switching state index value, identifying a current dominant heat dissipation state, and generating a corresponding cooling strategy; S3, evaluating the execution deviation of the current cooling strategy, and determining whether to trigger a cooling strategy reset and protection mode; and S4, evaluating the applicability of the current cooling strategy, performing adaptive dynamic adjustment operation on cooling strategy parameters, and realizing a cooling strategy adjustment closed loop.The problems that flexible cable conductors are difficult to dissipate heat in time when high-power fast charging and are prone to cause conductor overheating and frequent triggering of protection are solved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of intelligent heat dissipation control, in particular to a charging pile cable intelligent control method and system based on double-phase heat dissipation. BACKGROUND

[0002] At present, in the high-power direct-current fast charging scene, the charging pile cable carries large current in a short time, and the conductor is prone to instantaneous heat accumulation. The traditional single air cooling or liquid cooling method has problems such as response lag and uneven heat dissipation when dealing with dynamic heat load and complex working conditions. To solve this problem, related research has proposed a variety of heat dissipation schemes based on phase change materials, liquid cooling circulation and intelligent control.

[0003] For example, the invention with publication number CN120255348A discloses an AI-based adaptive phase change liquid cooling fault control method and system, which includes the following steps: obtaining cooling liquid temperature, flow rate, and phase change state data, real-time monitoring of liquid to gel phase change time under different flow rates and temperature conditions, calculating the phase change lag time increment of adjacent cycles, and obtaining the phase change lag time trend analysis result. In the present application, by real-time monitoring of the phase change time of the cooling liquid under different flow rates and temperature conditions, the heat exchange behavior of the coolant can be more accurately predicted, and the decline trend of the cooling capacity can be quantitatively analyzed. Based on the construction and change rate analysis of the heat absorption rate time series, combined with the abnormal fluctuation degree of the heat absorption rate, the coolant pump speed, flow distribution and flow path can be dynamically adjusted to adapt to the heat dissipation demand under different working conditions, so that the cooling scheme can be self-adaptively optimized according to the operation trend.

[0004] For example, the invention with publication number CN107577224B relates to a charger and its core controller, and a heat dissipation control method. The heat dissipation control method includes: real-time acquisition of the total output power value of multiple power modules in the charger cabinet, and determination of the first rotation speed value of the heat dissipation fan according to the total output power value, wherein the first rotation speed value is positively correlated with the total output power value; real-time acquisition of the environmental temperature value in the charger cabinet, and determination of the second rotation speed value of the heat dissipation fan according to the environmental temperature value, wherein the second rotation speed value is positively correlated with the environmental temperature value within a preset temperature range; comparison of the first rotation speed value and the second rotation speed value, determination of the larger one of the first rotation speed value and the second rotation speed value as the target rotation speed value; and sending of the determined target rotation speed value to the fan controller to adjust the rotation speed of the heat dissipation fan.

[0005] However, in the high-power fast charging process, the charging pile cable conductor is easy to produce instantaneous heat, and the traditional air cooling or liquid cooling mode has the problems of response lag and insufficient heat dissipation. The existing method adjusts the pump speed and flow by monitoring the phase change time of the cooling liquid, but fails to combine the synergistic heat dissipation of the cable conductor and the phase change material; there is also a method of adjusting the fan speed according to the output power and environmental temperature, but it lacks recognition of the internal dual-phase heat dissipation mechanism of the cable and multi-parameter optimization.

[0006] Therefore, in view of the above problems, there is an urgent need for a charging pile cable intelligent control method and system based on dual-phase heat dissipation. SUMMARY

[0007] Technical problems solved

[0008] In view of the deficiencies of the prior art, the present application provides a charging pile cable intelligent control method and system based on dual-phase heat dissipation, which solves the problems of instantaneous heating of flexible cable conductors during high-power fast charging and the difficulty of timely dissipation, which easily leads to overheating of the conductor and frequent triggering of protection.

[0009] Technical scheme

[0010] To achieve the above purpose, the present application realizes the following technical scheme: a charging pile cable intelligent control method and system based on dual-phase heat dissipation, comprising: S1, periodically collecting dual-phase heat control sensing data of the charging pile cable, and performing time alignment, sliding filtering, abnormal rejection, normalization and standardization processing on the dual-phase heat control sensing data; S2, calling the preprocessed heat control sensing data, constructing a paraffin phase change heat buffer load item and a fluorinated liquid heat dissipation capacity item, quantifying the phase change heat dissipation switching state index value, identifying the current dominant heat dissipation state and generating the corresponding cooling strategy; S3, based on the dual-phase heat control sensing data and the actual speed of the condenser fan in the Nth sampling period after the instruction is executed, evaluating the execution deviation of the current cooling strategy, and determining whether to trigger the cooling strategy reset and protection mode; S4, taking the control period as the unit, fusing the strategy deviation evaluation value and the dual-phase heat control sensing data, evaluating the applicability of the current cooling strategy, performing adaptive dynamic adjustment operation of the cooling strategy parameters, and realizing the cooling strategy adjustment closed loop.

[0011] Further, the specific steps of periodically collecting the two-phase change thermal control sensing data of the charging pile cable and performing time alignment, sliding filtering, abnormality rejection, normalization and standardization processing on the two-phase change thermal control sensing data are as follows: a fixed width sliding window is set as one sampling period, the two-phase change thermal control sensing data inside and on the surface of the charging pile cable are periodically collected, the two-phase change thermal control sensing data includes conductor temperature, paraffin phase change layer temperature, fluorinated liquid evaporation zone temperature, fluorinated liquid condensation zone temperature, fluorinated liquid evaporation zone pressure, fluorinated liquid condensation zone pressure, fluorinated liquid flow rate, condenser fan speed, condenser temperature, ambient temperature, conductor current and conductor resistance; time alignment is performed on various two-phase change thermal control sensing data through a timestamp synchronization method, and time sequence deviation caused by inconsistent sensor sampling frequencies and communication delay is corrected; a thermal state sliding window mean algorithm is constructed in combination with thermal inertia characteristics in the paraffin phase change process and the fluorinated liquid vaporization process, high-frequency pulse signals in the two-phase change thermal control sensing data are smoothed and filtered out; abnormal condition data appearing in the fluorinated liquid circulation is identified and rejected through a multivariate joint threshold detection method; the two-phase change thermal control sensing data is processed through a standard deviation standardization algorithm, and dimensionless standardization processing in a unified numerical interval is realized.

[0012] Further, the specific steps of calling the preprocessed thermal control sensing data, constructing the paraffin phase change thermal buffer load term and the fluorinated liquid heat dissipation capacity term, and quantifying the phase change heat dissipation switching state index value are as follows: the preprocessed two-phase change thermal control sensing data is extracted, the square of the conductor current is multiplied by the conductor resistance to obtain the conductor heat generation power; the conductor heat generation power is divided by the absolute value of the difference between the conductor temperature and the paraffin phase change layer temperature plus one to obtain the paraffin phase change thermal buffer load term; the fluorinated liquid evaporation zone temperature is subtracted from the fluorinated liquid condensation zone temperature to obtain the vapor-liquid temperature difference, the vapor-liquid temperature difference is squared to obtain the heat exchange temperature difference response term; the fluorinated liquid evaporation zone pressure is subtracted from the fluorinated liquid condensation zone pressure to obtain the fluorinated liquid passage pressure difference; the heat exchange temperature difference response term is divided by the product of the absolute value of the fluorinated liquid passage pressure difference and the fluorinated liquid flow rate plus one to obtain the fluorinated liquid heat dissipation capacity term; the paraffin phase change thermal buffer load term and the fluorinated liquid heat dissipation capacity term are added to obtain the phase change heat dissipation switching evaluation value.

[0013] Further, the specific steps of identifying the current dominant heat dissipation state and generating the corresponding cooling strategy are as follows: comparing the phase change heat dissipation switching evaluation value H with the phase change switching threshold values H1 and H2 in real time, determining the current dominant heat dissipation state and generating the corresponding cooling strategy: when H≤H1, it is determined that the paraffin is the dominant heat dissipation state, and the condenser fan speed is set to the first level speed; when H1

[0014] Further, based on the biphase heat control sensing data and the actual condenser fan speed in the first Further, based on the biphase heat control sensing data and the actual condenser fan speed in the first Further, based on the biphase heat control sensing data and the actual condenser fan speed in the first

[0015] Further, the specific steps of determining whether to trigger the cooling strategy reset are as follows: comparing the strategy deviation evaluation value with the strategy deviation threshold value in real time, when the strategy deviation evaluation value is less than or equal to the strategy deviation threshold value, it is determined that the heat dissipation is effective, and the current cooling strategy is continued to be executed; when the strategy deviation evaluation value is greater than the strategy deviation threshold value, it is determined that the heat dissipation is ineffective, and the cooling strategy reset is triggered: the charging power is reduced, and the condenser fan speed is increased to the rated speed.

[0016] Further, the specific steps of determining whether to trigger the protection mode are as follows: when the consecutive strategy deviation evaluation values are greater than the strategy deviation threshold value, the protection mode is triggered: the charging process is stopped and the power transmission path is cut off, the emergency heat dissipation channel is started, and an abnormal alarm is sent to the upper system; the conductor temperature change trend and the strategy deviation evaluation value are continuously monitored in the protection mode, and when the consecutive strategy deviation evaluation values are less than the strategy deviation threshold value and the conductor temperature drops to within the temperature control safety interval, the protection mode is exited.

[0017] Further, in the control period, the strategy deviation evaluation value and the two-phase change heat control sensing data are fused to evaluate the applicability of the current cooling strategy, and the specific steps are as follows: the continuous time period from the starting time of the control instruction issued by the controller to the first time when the corresponding strategy deviation evaluation value is less than the strategy deviation threshold value is defined as a control period; after each control period ends, the strategy deviation evaluation value in the control period is extracted to calculate the strategy deviation evaluation average; the strategy deviation evaluation average is added by one, and then the reciprocal is taken, and then one is added to obtain the strategy efficiency feedback item; the risk input factor is obtained by multiplying the temperature rise load risk item and the strategy efficiency feedback item; the absolute value of the difference between the condenser temperature and the environment temperature is added by one to form the condensing temperature difference item; the absolute value of the fluorinated liquid passage pressure difference is added by one to form the fluorinated liquid circulation intensity item; the condensing temperature difference item and the fluorinated liquid circulation intensity item are multiplied to obtain the heat dissipation capacity factor; the risk input factor is divided by the heat dissipation capacity factor to obtain the strategy adaptability judgment value.

[0018] Further, the specific steps of performing the adaptive dynamic adjustment operation of the cooling strategy parameters to realize the cooling strategy adjustment closed loop are as follows: the strategy adaptability judgment values in the consecutive K control periods are dynamically monitored, and when the strategy adaptability judgment value is continuously higher than the strategy adaptability threshold value and is not in the protection mode, it is determined that the current cooling strategy has insufficient heat dissipation capacity, and the adaptive adjustment operation of the cooling strategy parameters is triggered: the strategy deviation threshold value is dynamically adjusted downward, the interval range of the phase change switching threshold H1 and H2 is compressed, and the number of accumulated strategy deviation evaluation values required to trigger the protection mode is reduced; the strategy deviation evaluation average of each control period, the strategy deviation threshold value before and after adjustment, and the phase change switching threshold value are extracted and written into the operation log in the time stamp order, which is used for subsequent data calling and control instruction tracing.

[0019] ​​The second aspect of the present application provides a charging pile cable intelligent control system based on two-phase change heat dissipation, comprising: a heat control data acquisition and preprocessing module, a heat dissipation state identification and determination module, a cooling strategy regulation and execution module, and a strategy parameter adaptive adjustment module, wherein: the heat control data acquisition and preprocessing module is used to periodically acquire two-phase change heat control sensing data of the charging pile cable, and perform time alignment, sliding filtering, abnormality rejection, normalization and standardization processing on the two-phase change heat control sensing data; the heat dissipation state identification and determination module is used to call the preprocessed heat control sensing data, construct a paraffin phase change heat buffer load item and a fluorinated liquid heat dissipation capacity item, quantify the phase change heat dissipation switching state index value, identify the current dominant heat dissipation state and generate the corresponding cooling strategy; the cooling strategy regulation and execution module is used to evaluate the execution deviation of the current cooling strategy based on the two-phase change heat control sensing data and the actual speed of the condenser fan after the instruction is executed The second aspect of the present application provides a charging pile cable intelligent control system based on two-phase change heat dissipation, comprising: a heat control data acquisition and preprocessing module, a heat dissipation state identification and determination module, a cooling strategy regulation and execution module, and a strategy parameter adaptive adjustment module, wherein: the heat control data acquisition and preprocessing module is used to periodically acquire two-phase change heat control sensing data of the charging pile cable, and perform time alignment, sliding filtering, abnormality rejection, normalization and standardization processing on the two-phase change heat control sensing data; the heat dissipation state identification and determination module is used to call the preprocessed heat control sensing data, construct a paraffin phase change heat buffer load item and a fluorinated liquid heat dissipation capacity item, quantify the phase change heat dissipation switching state index value, identify the current dominant heat dissipation state and generate the corresponding cooling strategy; the cooling strategy regulation and execution module is used to evaluate the execution deviation of the current cooling strategy based on the two-phase change heat control sensing data and the actual speed of the condenser fan after the instruction is executed

[0020] Advantages

[0021] The present application has the following advantages:

[0022] (1) The charging pile cable intelligent control method and system based on two-phase change heat dissipation can accurately identify the current heat dissipation state of the cable by constructing a paraffin phase change heat buffer load item and a fluorinated liquid heat dissipation capacity item, forming a phase change heat dissipation switching criterion. When the paraffin phase change layer temperature is detected to be maintained at a high level for a long time without reducing the conductor temperature, the criterion logic can be reconstructed in advance to directly switch the state to fluorinated liquid dominant heat dissipation, thereby avoiding the heat dissipation delay caused by saturated paraffin layer, directly quantifying and modeling the internal two-phase change heat dissipation mechanism of the cable, and greatly improving the accuracy and timeliness of heat state identification.

[0023] (2) The charging pile cable intelligent control method and system based on two-phase change heat dissipation dynamically reflects the execution effect of the cooling strategy by introducing a strategy deviation evaluation value. When the strategy deviation evaluation value is greater than the strategy deviation threshold, the strategy is reset, and when it is greater than the strategy deviation threshold for a plurality of times in succession, the protection mode is entered and the emergency heat dissipation is enabled. This mechanism makes the cooling strategy no longer rely on static settings, but realizes dynamic regulation and control through execution feedback, can reflect the effectiveness of the strategy in real time and correct the deviation in time, thereby improving the stability of heat dissipation and the safety of the system.

[0024] (3) The intelligent control method and system for charging pile cables based on dual-phase change heat dissipation will define a control cycle and construct a strategy adaptability judgment value within the cycle to measure the degree of matching between the cooling strategy and the actual thermal load. When the judgment value is consistently low, the controller will dynamically adjust the strategy deviation threshold, compress the phase change switching interval, and reduce the cumulative number of protection triggers, thereby enhancing the system's adaptability to complex operating conditions. Compared with the existing technology that relies on fixed threshold control and is difficult to adapt to changes in operating conditions, it has higher flexibility and self-evolution capability, and can continuously optimize the heat dissipation strategy.

[0025] (4) The intelligent control method and system for charging pile cables based on dual-phase change heat dissipation organically combines sensing acquisition, thermal state identification, cooling strategy execution, and parameter adaptive adjustment to form a complete dynamic closed-loop heat dissipation control system. High-quality sensing data provides input, accurate thermal state determination generates strategies, strategy evaluation based on execution feedback achieves correction, and the strategy adaptability judgment value drives parameter adjustment, realizing intelligent, adaptive, and highly reliable control of charging pile cable heat dissipation, significantly improving the safety and continuity of the fast charging process. Attached Figure Description

[0026] Figure 1 A flowchart of a smart control method for charging pile cables based on dual-phase heat dissipation;

[0027] Figure 2 This is a structural diagram of an intelligent control system for charging pile cables based on dual-phase heat dissipation.

[0028] Figure 3 This is the cross-sectional area of ​​the charging pile cable;

[0029] Figure 4 A schematic diagram showing the phase change heat dissipation switching evaluation value and heat dissipation status under different sampling periods;

[0030] Figure 5 This is a front view of the charging station.

[0031] In the diagram, 1 is the protective insulation layer; 2 is the fluorinated liquid phase change layer; 3 is the paraffin phase change layer; 4 is the conductor; 5 is the charging gun; 6 is the condenser; and 7 is the charging pile. Detailed Implementation

[0032] 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 embodiments of the present invention, and not all embodiments. 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.

[0033] Please see Figures 1-5The embodiment of the present application provides a technical scheme: a charging pile cable intelligent control method and system based on double-phase change heat dissipation, comprising: S1, periodically collecting double-phase change heat control sensing data of the charging pile 7 cable, and performing time alignment, sliding filtering, abnormal rejection, normalization and standardization processing on the double-phase change heat control sensing data; S2, calling the preprocessed heat control sensing data, constructing a paraffin phase change heat buffer load item and a fluorinated liquid heat dissipation capacity item, quantifying a phase change heat dissipation switching state index value, identifying a current dominant heat dissipation state and generating a corresponding cooling strategy; S3, based on the double-phase change heat control sensing data and the actual speed of the condenser fan in the first sampling period after the instruction is executed, evaluating the execution deviation of the current cooling strategy, and determining whether to trigger the cooling strategy reset and protection mode; S4, in units of control periods, fusing the strategy deviation evaluation value and the double-phase change heat control sensing data, evaluating the applicability of the current cooling strategy, performing adaptive dynamic adjustment operation of the cooling strategy parameters, and realizing the cooling strategy adjustment closed loop.

[0034] ​Specifically, the dual-phase heat control sensing data of the charging pile 7 cable is periodically collected, and the specific steps of time alignment, sliding filtering, abnormality elimination, normalization and standardization processing of the dual-phase heat control sensing data are as follows: a fixed width sliding window is set as a sampling period, and in each sampling period, the dual-phase heat control sensing data inside and on the surface of the charging pile 7 cable is periodically collected, including conductor temperature, paraffin phase change layer temperature, fluorinated liquid evaporation zone temperature, fluorinated liquid condensation zone temperature, fluorinated liquid evaporation zone pressure, fluorinated liquid condensation zone pressure, fluorinated liquid flow rate, condenser fan speed, condenser temperature, ambient temperature, conductor current and conductor resistance. The above types of sensing data are all collected in real time by high-precision multi-point thermocouples and pressure and flow rate sensors installed in different areas of the charging cable, ensuring that the sensing data is representative and timely. The dual-phase heat control sensing data is time-aligned by a time stamp synchronization method, correcting the sampling time deviation caused by inconsistent sensor sampling frequencies, signal acquisition channel response differences and transmission delays, ensuring the synchronization and effectiveness of subsequent data processing. Combined with the heat capacity hysteresis effect of the paraffin phase change layer 3 heat absorption and release process and the temperature and pressure coupling response characteristics of the fluorinated liquid in the vaporization and condensation process, a sliding mean filtering algorithm based on a thermal state time window is constructed to continuously smooth a plurality of high-frequency signals such as conductor temperature, paraffin phase change layer temperature, fluorinated liquid evaporation zone temperature, fluorinated liquid condensation zone temperature and fluorinated liquid flow rate, and to suppress false changes caused by instantaneous disturbances, interference pulses and data jumps. By constructing a joint analysis model, based on the relative pressure difference fluctuation of the fluorinated liquid evaporation zone pressure and the fluorinated liquid condensation zone pressure, the coupling deviation degree of the fluorinated liquid flow rate and the condenser fan speed, and the conductor current and conductor temperature rise trend, a multivariate joint threshold detection method is executed to identify abnormal operating condition data caused by air resistance, liquid plug, air cooling failure and sensor abnormalities in real time, and to eliminate them from the original samples to ensure the purity of the analysis data. Finally, the dual-phase heat control sensing data is processed by the range normalization algorithm, and the mean difference scaling operation is performed on the dual-phase heat control sensing data by the standard deviation standardization algorithm, completing the dimensionless standardization processing of all dual-phase heat control sensing data, and providing a unified dimension and comparison basis for subsequent heat dissipation state recognition, cooling strategy generation and dynamic adjustment algorithm.

[0035] As Figure 3As shown, the cross-sectional structure of the charging pile 7 cable is shown. The cable structure includes, from inside to outside: conductor 4: located in the innermost layer of the cable, used for transmitting high-power current, is the main heat source, needs to monitor the temperature rise rate and heat load; paraffin phase change layer 3: coated outside the conductor 4, realizes heat buffering and heat absorption function through the solid-liquid phase change behavior of paraffin, mainly coping with short-time high-power pulse working condition; fluorinated liquid phase change layer 2: set outside the paraffin phase change layer 3, construct a closed flow path structure with three-dimensional distribution, filled with low-boiling-point fluorinated working medium inside, realize continuous heat exchange and conduction heat dissipation through vaporization and condensation phase change cycle; protective insulation layer 1: coated in the outermost layer, has the ability of flexible mechanical protection and thermal insulation, reduces heat dissipation loss and protects the stability of the structure. The cable structure realizes the double-phase change collaborative heat dissipation mechanism centered on the conductor 4, under the intelligent control strategy described in the invention, can dynamically identify the current dominant heat dissipation state and adapt the cooling control mode, realizes the collaborative regulation of paraffin heat absorption buffer and fluorinated liquid active circulation heat exchange, significantly improves the thermal control efficiency and system safety in the charging process.

[0036] In this embodiment, by periodically collecting and standardizing preprocessing the double-phase change thermal control sensing data, the time consistency, numerical stability and physical interpretability of the thermal control sensing data can be significantly improved. Through the thermal state sliding mean filtering algorithm, the pulse noise caused by instantaneous interference is effectively suppressed, and through the joint threshold detection method, the abnormal working condition data is accurately identified and removed, ensuring the reliability and representativeness of the input data of the subsequent algorithm. At the same time, through normalization and standardization processing, a unified dimension data input structure is constructed, providing high-quality, low-redundancy, and strong-robustness multi-dimensional sensing data basis for phase change heat dissipation switching state recognition and cooling strategy generation, enhancing the control accuracy and response efficiency of the invention under complex thermal working conditions.

[0037] Specifically, the specific steps of calling the pre-processed dual-phase heat control sensing data, constructing the paraffin phase change heat buffer load term and the fluorinated liquid heat dissipation capacity term, and quantifying the phase change heat dissipation switching state index value are as follows: first, the conductor current, the conductor resistance, the conductor temperature and the paraffin phase change layer temperature are extracted from the dual-phase heat control sensing data after time alignment, sliding filtering, abnormality rejection, normalization and standardization processing, and the conductor current is squared and multiplied by the conductor resistance to obtain the conductor heating power reflecting the electric energy release intensity per unit volume; then the conductor heating power is divided by the absolute value of the difference between the conductor temperature and the paraffin phase change layer temperature plus one, so as to avoid the calculation instability problem caused by the denominator tending to zero, thereby calculating the paraffin phase change heat buffer load term for reflecting the heat absorption buffering capacity of the paraffin phase change layer 3 to the conductor 4 heat release process; further, the fluorinated liquid evaporation zone temperature, the fluorinated liquid condensation zone temperature, the fluorinated liquid evaporation zone pressure, the fluorinated liquid condensation zone pressure and the fluorinated liquid flow rate are extracted from the dual-phase heat control sensing data, the temperature difference between the fluorinated liquid evaporation zone temperature and the fluorinated liquid condensation zone temperature is calculated and squared to form a vapor-liquid temperature difference square term to represent the response degree of the fluorinated liquid heat exchange temperature difference; the difference between the fluorinated liquid evaporation zone pressure and the fluorinated liquid condensation zone pressure is calculated to obtain the fluorinated liquid passage pressure difference, and the vapor-liquid temperature difference square term is divided by the product of the absolute value of the fluorinated liquid passage pressure difference and the fluorinated liquid flow rate plus one to obtain the fluorinated liquid heat dissipation capacity term to reflect the condensation efficiency level under the joint action of flow resistance and heat exchange driving force; finally, the paraffin phase change heat buffer load term and the fluorinated liquid heat dissipation capacity term are added to form a phase change heat dissipation switching evaluation value which uniquely identifies the current dominant mechanism and state of heat dissipation.

[0038] wherein the specific calculation formula of the phase change heat dissipation switching evaluation value is:

[0039] ;

[0040] in the formula, denotes the phase change heat dissipation switching evaluation value, denotes the conductor current, denotes the conductor resistance, denotes the conductor temperature, denotes the paraffin phase change layer temperature, denotes the fluorinated liquid evaporation zone temperature, denotes the fluorinated liquid condensation zone temperature, denotes the fluorinated liquid evaporation zone pressure, denotes the fluorinated liquid condensation zone pressure, denotes the fluorinated liquid flow rate.

[0041] In the embodiment, Table 1 is a phase change heat dissipation switching evaluation value data table, which lists key variables and phase change heat dissipation switching evaluation values in five sampling periods. The key variables include: conductor current, conductor resistance, conductor temperature, paraffin phase change layer temperature, fluorinated liquid evaporation zone temperature, fluorinated liquid condensation zone temperature, and fluorinated liquid flow rate. The specific data are as follows: in the sampling period 1, the conductor current is 180, the conductor resistance is 0.00085, the conductor temperature is 48.2, the paraffin phase change layer temperature is 46.5, the fluorinated liquid evaporation zone temperature is 43.0, the fluorinated liquid condensation zone temperature is 36.5, the fluorinated liquid flow rate is 0.35, and the corresponding phase change heat dissipation switching evaluation value is 23.10; in the sampling period 2, the conductor current is 200, the conductor resistance is 0.00086, the conductor temperature is 50.7, the paraffin phase change layer temperature is 48.1, the fluorinated liquid evaporation zone temperature is 46.2, the fluorinated liquid condensation zone temperature is 37.5, the fluorinated liquid flow rate is 0.42, and the corresponding phase change heat dissipation switching evaluation value is 25.82; in the sampling period 3, the conductor current is 220, the conductor resistance is 0.00087, the conductor temperature is 54.9, the paraffin phase change layer temperature is 50.3, the fluorinated liquid evaporation zone temperature is 49.5, the fluorinated liquid condensation zone temperature is 39.0, the fluorinated liquid flow rate is 0.55, and the corresponding phase change heat dissipation switching evaluation value is 23.79; in the sampling period 4, the conductor current is 240, the conductor resistance is 0.00088, the conductor temperature is 57.5, the paraffin phase change layer temperature is 55.2, the fluorinated liquid evaporation zone temperature is 52.8, the fluorinated liquid condensation zone temperature is 40.5, the fluorinated liquid flow rate is 0.72, and the corresponding phase change heat dissipation switching evaluation value is 30.71; in the sampling period 5, the conductor current is 260, the conductor resistance is 0.00089, the conductor temperature is 60.3, the paraffin phase change layer temperature is 56.1, the fluorinated liquid evaporation zone temperature is 55.0, the fluorinated liquid condensation zone temperature is 41.8, the fluorinated liquid flow rate is 0.90, and the corresponding phase change heat dissipation switching evaluation value is 25.10.

[0042] Table 1 Phase change heat dissipation switching evaluation value data table

[0043]

[0044] As Figure 4As shown, the phase change heat dissipation switching evaluation value and the dominant heat dissipation state determination result corresponding to five sampling periods are shown, which are used to identify the dominant heat dissipation mode of the charging pile 7 cable under different working conditions. In the figure, the phase change heat dissipation switching evaluation value of each sampling period is represented in the form of a color column chart, in which green represents the paraffin dominant heat dissipation state, blue represents the phase change transition state, and red represents the fluorinated liquid dominant heat dissipation state, which visually clearly distinguishes the change of the heat dissipation mechanism of each period. Two dashed threshold lines are set in the figure as heat dissipation state division references: the orange dashed line represents the first phase change switching threshold H1, which is used to determine the boundary between paraffin heat dissipation and phase change transition; the purple dashed line represents the second phase change switching threshold H2, which is used to identify the boundary between phase change transition and fluorinated liquid dominant heat dissipation. As can be seen from the figure, the phase change heat dissipation switching evaluation values of sampling period 1 and sampling period 3 are 23.10 and 23.79 respectively, both of which are lower than H1, corresponding to the paraffin dominant heat dissipation state; the evaluation values of sampling period 2 and sampling period 5 are 25.82 and 25.10 respectively, which are between H1 and H2, corresponding to the phase change transition state; the evaluation value of sampling period 4 is 30.71, which is higher than H2, corresponding to the fluorinated liquid dominant heat dissipation state. Figure 4 The dominant heat dissipation state switching process under different sampling periods is effectively reflected, providing intuitive data basis for dynamic determination of cooling strategy and optimization of cooling strategy.

[0045] In the embodiment, by constructing the paraffin phase change heat buffer load term and the fluorinated liquid heat dissipation capacity term, the conductor heat generation rate and the heat absorption and heat exchange capacity of the heat control medium are quantitatively characterized, effectively integrating the conductor current, conductor resistance, conductor temperature, paraffin phase change layer temperature, fluorinated liquid evaporation zone temperature, fluorinated liquid condensation zone temperature, fluorinated liquid evaporation zone pressure, fluorinated liquid condensation zone pressure and fluorinated liquid flow rate to form a phase change heat dissipation switching evaluation value. The phase change heat dissipation switching evaluation value can accurately reflect the dominant relationship between the current paraffin phase change heat absorption mechanism and the fluorinated liquid condensation heat exchange mechanism, realize the criterion extraction of state recognition in the dual phase change heat dissipation control, provide high-resolution thermal state quantitative basis for cooling strategy generation, and improve the response accuracy and strategy adaptability of intelligent cooling control.

[0046] Specifically, the specific steps of identifying the current dominant heat dissipation state and generating the corresponding cooling strategy are as follows: comparing the phase change heat dissipation switching evaluation value H with the phase change switching threshold H1 and H2 in real time, determining the current dominant heat dissipation state based on the position of the phase change heat dissipation switching evaluation value H in different threshold intervals, and generating the corresponding cooling strategy control instruction accordingly: when the phase change heat dissipation switching evaluation value H is less than or equal to the first phase change switching threshold H1, it is determined that the current is in the paraffin phase change dominant heat dissipation state, at this time the condenser fan speed is set to the first wind speed, to maintain the low power consumption running state and retain the heat buffer margin of the paraffin phase change layer 3; when the phase change heat dissipation switching evaluation value H is between the first phase change switching threshold H1 and the second phase change switching threshold H2, it is determined to be a phase change transition state, the condenser fan speed is set to the second wind speed, and the charging power retention instruction is issued at the same time, the current charging power level is locked, and the charging power up operation is prohibited to prevent the heat control pressure from rising too fast during the phase change state switching process; when the phase change heat dissipation switching evaluation value H is greater than or equal to the second phase change switching threshold H2, it is determined that the current is in the fluorinated liquid dominant heat dissipation state, the steam transmission channel and the condenser 6 return channel are opened, the condenser fan speed is set to the third wind speed, and the forced convection heat transfer path for evaporation and condensation of fluorinated liquid is constructed; at the same time, the conductor temperature rising rate is calculated in real time, if the conductor temperature rising rate is higher than the temperature rising threshold, the controller immediately issues the charging power limitation instruction to actively suppress the continuous and rapid accumulation of heat; and the continuous monitoring operation of the paraffin phase change layer temperature is performed in parallel, if the paraffin phase change layer temperature is always higher than the first phase change switching threshold H1 in the continuous M sampling periods, and the conductor temperature does not show a downward trend, the early heat state reconstruction mechanism is triggered, the current heat control state is directly reset to the fluorinated liquid dominant heat dissipation state, and the high-efficiency cooling path is enabled in advance; wherein M is a positive integer parameter; after the steam transmission channel and the condenser 6 return channel are opened, the vapor-liquid temperature difference and the fluorinated liquid path pressure difference are monitored in real time, if the vapor-liquid temperature difference is lower than the temperature difference threshold and the fluorinated liquid path pressure difference is negative, it indicates that the heat-driven condensation backflow power is insufficient, it is determined that the cooling cycle is abnormal, the charging process is immediately stopped, the power transmission path is cut off, and the emergency heat dissipation channel is started at the same time to ensure the heat safety boundary; if the vapor-liquid temperature difference and the fluorinated liquid path pressure difference indicators are all in the normal interval, it is determined that the cooling cycle is running normally, the current cooling strategy remains unchanged, and the cooling control process is continued to be dynamically responded according to the real-time heat control state. The emergency heat dissipation channel is a backup heat dissipation path started by the application under the condition of abnormal cooling cycle or invalid heat dissipation, which has an independent operation logic from the conventional phase change cooling mechanism. In the case of condenser cooling failure, paraffin phase change layer heat buffer capacity depletion, insufficient heat exchange capacity of fluorinated liquid evaporation area, etc., the emergency heat dissipation channel opens the independent heat dissipation equipment to realize the rapid falling of the conductor temperature, and ensures the safe operation of the charging pile cable system.

[0047] In this embodiment, by comparing the phase change heat dissipation switching evaluation value with the phase change switching threshold in real time, the accurate identification of the paraffin dominant heat dissipation state, the phase transition state and the fluorinated liquid dominant heat dissipation state is realized, and the condenser fan speed, the charging power instruction, the opening strategy of the steam transmission channel and the condenser 6 backflow channel are dynamically adjusted according to different heat dissipation states, so as to ensure that the cooling path is always highly matched with the current heat state; At the same time, the conductor temperature rise rate monitoring, paraffin phase change layer temperature trend discrimination, vapor-liquid temperature difference and fluorinated liquid passage pressure difference cooperative judgment mechanism are combined to build the advance heat state reconstruction mechanism and cooling abnormality identification mechanism, which can actively identify potential cooling failure signs before the occurrence of thermal control abnormal risk, switch the cooling path and start the emergency cooling channel in time, and comprehensively improve the response accuracy, risk prevention and control ability and system thermal stability of the cooling strategy.

[0048] Specifically, based on the dual-phase heat control sensing data and the actual speed of the condenser fan in the first sampling period after the execution of the instruction The specific steps of evaluating the execution deviation of the current cooling strategy are as follows: the actuator receives and strictly follows the cooling strategy control instruction issued by the controller to operate, extracts the dual-phase heat control sensing data in the first sampling period after the execution of the control instruction Including conductor temperature, condenser temperature, environment temperature, charging power, rated power, condenser fan target speed and condenser fan actual speed; wherein, And Both are positive integer parameters; the difference between the conductor temperature and the conductor temperature of the previous sampling period is divided by the sampling period length to calculate the conductor temperature rise rate; the conductor temperature rise rate is multiplied by the ratio of the charging power and the rated power plus one to form the temperature rise load risk term reflecting the load pressure change; the square of the difference between the condenser fan target speed and the condenser fan actual speed is taken to form the execution deviation amplification term for measuring the control response accuracy; the difference between the condenser temperature and the environment temperature is divided by the conductor temperature plus one to obtain the heat exchange temperature difference ratio, and then multiplied by the absolute value of the difference between the condenser fan target speed and the condenser fan actual speed to form the heat exchange consistency evaluation term for reflecting the actual heat exchange efficiency deviation of the condenser 6; the temperature rise load risk term, the execution deviation amplification term and the heat exchange consistency evaluation term are numerically superimposed to obtain the comprehensive performance index of the current cooling strategy in the actual execution process, that is, the strategy deviation evaluation value, which is used to judge whether the heat dissipation effectiveness performance of the cooling strategy under the current heat state meets the standard.

[0049] Wherein, the specific calculation formula of the strategy deviation evaluation value is:

[0050] ;

[0051] In the formula, Indicates the strategy deviation evaluation value, Indicates the conductor temperature, represents the conductor temperature rise rate, represents the condenser fan target rotating speed, represents the condenser fan actual rotating speed, represents the condenser temperature, represents the ambient temperature, represents the charging power, represents the rated charging power.

[0052] In the embodiment, by constructing a strategy deviation evaluation value based on the linkage calculation of the two-phase change thermal control sensing data and the condenser fan target rotating speed and the actual rotating speed, the dynamic quantitative evaluation of the cooling strategy heat dissipation effectiveness is realized. The evaluation mechanism integrates three core indexes of temperature rise load risk term, execution deviation amplification term and heat exchange consistency evaluation term, which can comprehensively reflect the deviation degree of the cooling strategy in the execution response accuracy, load heat risk suppression ability and condenser 6 actual heat exchange performance. Compared with the traditional single parameter judgment method, the evaluation method of the present application is more rigorous, which can provide more reliable criterion support in the control precision, thermal state matching and heat dissipation capacity monitoring, thereby significantly improving the regulation precision and thermal control safety guarantee ability of the cooling strategy.

[0053] Specifically, the specific steps of determining whether to trigger the cooling strategy reset are as follows: comparing the strategy deviation evaluation value calculated in the current control period with the strategy deviation threshold value in real time, when the strategy deviation evaluation value is less than or equal to the strategy deviation threshold value, it is determined that the heat dissipation effect of the current cooling strategy reaches the set standard, it is considered that the heat dissipation is effective, the current cooling strategy parameters are maintained and the existing control instructions are continuously executed; when the strategy deviation evaluation value is greater than the strategy deviation threshold value, it is judged that the current cooling strategy cannot effectively suppress the heat risk growth trend, it is determined that the heat dissipation is ineffective, and the cooling strategy reset process is immediately triggered: the controller issues a charging power down command to weaken the conductor heating power source, and the condenser fan target rotating speed is adjusted to the rated highest rotating speed to strengthen the forced convection heat dissipation effect.

[0054] In the embodiment, by comparing the strategy deviation evaluation value with the strategy deviation threshold value in real time in each control period, the dynamic verification of the cooling strategy execution effect is realized, which can accurately determine that the current cooling strategy cannot meet the conductor 4 temperature rise control demand when the strategy deviation evaluation value is greater than the strategy deviation threshold value, and timely start the cooling strategy reset mechanism. The mechanism jointly regulates the charging power down command, the condenser fan target rotating speed up command and the opening command of all condenser 6 channels, rapidly improves the system heat dissipation capacity in the thermal control response time scale, effectively suppresses the temperature rise out-of-control trend caused by the continuous superposition of conductor heating power, improves the thermal safety guarantee ability of the charging pile 7 cable in the high-power charging process, and significantly enhances the self-recovery regulation ability of the cooling strategy under dynamic thermal load.

[0055] Specifically, the steps to determine whether protection mode has been triggered are as follows: When continuously If the strategy deviation assessment value exceeds the strategy deviation threshold, it indicates that the current cooling strategy is failing in addressing the risk of temperature rise in conductor 4, and the cooling protection mode is immediately triggered. After the protection mode is activated, the controller issues a command to stop the charging process, cutting off the power transmission path. Simultaneously, it issues an emergency operation command for condenser 6, forcibly opening the emergency heat dissipation channel, maximizing the target speed of the condenser fan, activating all effective cooling units within the condenser 6 circuit, ensuring that the cooling capacity quickly reaches maximum output, and sending an abnormal alarm signal to the upper-level system in real time. During the continuous execution of the protection mode, the conductor temperature change trend and strategy deviation assessment value are continuously monitored, and a dynamic temperature control tracking model is constructed. When continuous... If the strategy deviation assessment value is less than the strategy deviation threshold and the conductor temperature steadily decreases to within the temperature control safety range, it indicates that the heat dissipation mechanism has recovered effectively. The protection mode is immediately exited, and the normal cooling strategy control process is reactivated to resume normal power transmission and charging tasks. The temperature control safety range is determined based on the correlation between the conductor temperature change trend under different cooling strategies and the strategy deviation assessment value. This is achieved by jointly analyzing the average strategy deviation assessment value and the conductor temperature decrease rate over historical control cycles, identifying a safe range within which the conductor temperature tends to stabilize after the thermal control risk has been significantly mitigated. This safe range serves as the basis for exiting the protection mode.

[0056] In this implementation scheme, a continuous monitoring mechanism based on strategy deviation assessment values ​​is constructed to clarify the stability and effectiveness of the cooling strategy across multiple control cycles, enabling accurate identification of cooling strategy failure indicators. When the strategy deviation assessment value continuously exceeds the strategy deviation threshold, a cooling protection mode is immediately triggered to prevent the conductor temperature from continuing to rise and causing the risk of thermal runaway. Simultaneously, in protection mode, the conductor temperature change trend and strategy deviation assessment value are continuously tracked to achieve dynamic recovery judgment of thermal control fault states, significantly improving the safety, reliability, and closed-loop capability of the cooling control strategy and thermal control response.

[0057] Specifically, in units of control cycles, the specific steps of fusing the strategy deviation evaluation value and the two-phase change thermal control perception data to evaluate the applicability of the current cooling strategy are as follows: the continuous time period from the starting time after the controller issues the control instruction to the first time when the corresponding strategy deviation evaluation value is lower than the strategy deviation threshold is defined as a control cycle; after each control cycle ends, all strategy deviation evaluation values are extracted from all two-phase change thermal control perception data collected in the control cycle, and the strategy deviation evaluation mean is calculated to ensure the completeness and representativeness of the evaluation data in the time domain; after calculating the strategy deviation evaluation mean, the reciprocal of the strategy deviation evaluation mean plus one is taken, and then one is added, as the strategy performance feedback item, which is used to reflect the relative cooling performance level of the strategy; at the same time, the conductor temperature rise rate, the conductor current and the conductor resistance are extracted, the temperature rise load risk item is calculated, and the temperature rise load risk item is multiplied by the strategy performance feedback item to form the cooling risk input factor; further, the condenser temperature and the environment temperature are extracted from the two-phase change thermal control perception data, the absolute value of the difference between the two is calculated and one is added to define the condensing temperature difference item; the fluorinated liquid evaporation zone pressure and the fluorinated liquid condensing zone pressure are extracted, the absolute value of the fluorinated liquid passage pressure difference is calculated and one is added to form the fluorinated liquid circulation intensity item; the condensing temperature difference item and the fluorinated liquid circulation intensity item are multiplied to obtain the heat dissipation capacity factor; finally, the cooling risk input factor is divided by the heat dissipation capacity factor to obtain the strategy adaptability judgment value for dynamically quantifying the regulation effect and applicability of the current cooling strategy, which provides accurate basis for the subsequent adjustment and optimization of the cooling strategy.

[0058] The specific calculation formula of the strategy adaptability judgment value is:

[0059] ;

[0060] In the formula, represents the strategy adaptability judgment value, represents the conductor temperature rise rate, represents the charging power, represents the rated charging power, represents the strategy deviation evaluation mean, represents the condenser temperature, represents the environment temperature, represents the fluorinated liquid passage pressure difference.

[0061] In the embodiment, by taking the control cycle as the evaluation unit, the strategy deviation evaluation value and the two-phase change thermal control perception data are fused to realize the dynamic quantitative analysis of the applicability of the current cooling strategy. The regulation matching degree of the control instruction in the thermal control response process is accurately evaluated, the heat dissipation capacity performance and the regulation risk level of the cooling strategy under real operating conditions are effectively reflected, continuous feedback basis is provided for the dynamic adaptability judgment of the cooling strategy, and the stability and intelligent response ability of the cooling system under complex thermal load change conditions are enhanced.

[0062] Specifically, the adaptive dynamic adjustment operation of the cooling strategy parameters is performed, and the specific steps of the cooling strategy adjustment closed loop are as follows: the strategy adaptability judgment values in the continuous K control cycles are dynamically monitored, and the strategy deviation evaluation values, the cooling strategy execution instructions and the two-phase change thermal control sensing data corresponding to each time node in the control cycle are combined to form a complete strategy adaptability evaluation sequence. Wherein, K is a positive integer parameter; when the strategy adaptability judgment value is continuously higher than the strategy adaptability threshold value, and the current is not in the cooling protection mode, it is judged that the current cooling strategy heat dissipation capacity is insufficient, and the cooling strategy parameter adaptive adjustment operation needs to be started to avoid further accumulation of overheating risk. The specific adjustment content includes: dynamically reducing the strategy deviation threshold value, so that the system is more sensitive to the insufficient cooling effect; compressing the numerical interval between the phase change heat dissipation switching thresholds H1 and H2, shortening the switching delay of the paraffin dominant heat dissipation state to the fluorinated liquid dominant heat dissipation state; synchronously reducing the number of accumulated strategy deviation evaluation values required to trigger the cooling protection mode, and improving the cooling protection response rate. After the adjustment is completed, the strategy deviation evaluation mean value of each control cycle, the strategy evaluation threshold value before adjustment, the strategy evaluation threshold value after adjustment, the phase change switching thresholds H1 and H2 before adjustment and the phase change switching thresholds H1 and H2 after adjustment are extracted, and recorded according to the starting time stamp of the control cycle of each adjustment operation, and written into the cooling strategy operation log file, so that all parameter adjustment processes have traceability and historical calling ability, and provide training samples and boundary constraints for subsequent intelligent optimization algorithm iteration.

[0063] In the embodiment, by dynamically monitoring the strategy adaptability judgment values in the continuous control cycles, and combining the strategy deviation evaluation values, the cooling strategy execution instructions and the two-phase change thermal control sensing data, the adaptive dynamic adjustment of the cooling strategy parameters is realized, the rapid response ability of the system to the insufficient cooling capacity situation is effectively improved, and the sensitivity and stability of the heat dissipation control are enhanced; by providing accurate feedback data for intelligent cooling algorithm training, the cooling strategy adjustment process has traceability and structured evolution ability, thereby significantly enhancing the thermal control adaptive ability and control reliability of the application under complex charging conditions.

[0064] As Figure 2As shown, the second aspect of the application provides a charging pile cable intelligent control system based on two-phase phase change heat dissipation, which comprises a heat control data acquisition and preprocessing module, a heat dissipation state identification and determination module, a cooling strategy regulation and execution module, and a strategy parameter adaptive adjustment module. The heat control data acquisition and preprocessing module is used to periodically acquire two-phase heat control sensing data of the charging pile 7 cable, and perform time alignment, sliding filtering, abnormal rejection, normalization and standardization processing on the two-phase heat control sensing data. The heat dissipation state identification and determination module is used to call the preprocessed heat control sensing data, construct a paraffin phase change heat buffer load item and a fluorinated liquid heat dissipation capacity item, quantify the phase change heat dissipation switching state index value, identify the current dominant heat dissipation state and generate the corresponding cooling strategy. The cooling strategy regulation and execution module is used to evaluate the execution deviation of the current cooling strategy based on the two-phase heat control sensing data and the actual speed of the condenser fan after the instruction is executed for the first sampling period, and determine whether to trigger the cooling strategy reset and protection mode. The strategy parameter adaptive adjustment module is used to fuse the strategy deviation evaluation value and the two-phase heat control sensing data in units of control periods, evaluate the applicability of the current cooling strategy, perform adaptive dynamic adjustment operation of the cooling strategy parameters, and realize cooling strategy regulation closed loop.

[0065] As shown in Figure 5 , the front view structure of the charging pile 7 is shown. In the figure, the charging gun 5 is connected with the charging pile 7 through the cable, and the two-phase phase change heat dissipation structure is integrated in the cable. The condenser 6 is arranged in the connection passage between the charging gun 5 and the charging pile 7, and is a key heat exchange component of the fluorinated liquid phase change system. During operation, the condenser 6 is used to recover the latent heat of high-temperature gaseous fluorinated liquid, so that the condensate flows back to liquid state, and the circulating heat exchange efficiency is maintained. This structure cooperates with the paraffin and fluorinated liquid two-phase phase change heat dissipation layer shown in the cable cross section in Figure 3 , through real-time heat state determination and cooling strategy adjustment, improves the heat control response capability and conductor 4 temperature rise control level in the charging process, and ensures the thermal stable operation of the system in the high-power fast charging scene.

[0066] ​In the embodiment, a complete data acquisition, state identification, strategy execution and parameter adaptive adjustment closed loop is formed by constructing a charging pile cable intelligent control system based on two-phase heat dissipation. The heat control data acquisition preprocessing module can periodically acquire multi-source two-phase heat control sensing data, and through time alignment, sliding filtering, abnormal elimination, normalization and standardization processing, the accuracy and consistency of the input data are ensured. The heat dissipation state identification and determination module can accurately identify the dominant heat dissipation state and generate a targeted cooling strategy by quantizing the phase change heat dissipation switching state index value and realizing the comprehensive modeling of the paraffin phase change heat buffer load item and the fluorinated liquid heat dissipation capacity item. The cooling strategy regulation and execution module determines the heat dissipation effectiveness through the strategy deviation evaluation value, ensuring that the cooling strategy reset or protection mode can be triggered when the cooling is insufficient. The strategy parameter adaptive adjustment module calculates the strategy adaptability judgment value through the strategy deviation evaluation value and the two-phase heat control sensing data in the control period, dynamically adjusts the strategy deviation threshold and the phase change switching threshold, and ensures the applicability of the cooling strategy under different operating conditions. Through the integration of the above functions, the system significantly improves the thermal control precision, dynamic response capability and operation safety of the charging pile 7 cable in the high-power fast charging scene.

[0067] It should be noted that, in the present document, relational terms such as first and second and the like can be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises", "comprising", or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but can include other elements not expressly listed or inherent to such process, method, article, or apparatus.

[0068] The preferred embodiments of the application disclosed above are only used to help explain the application. The preferred embodiments do not describe all of the details of the application, and the application is not limited to the specific embodiments described. Obviously, many modifications and variations can be made according to the content of the specification. The specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the application, so that those skilled in the art can well understand and utilize the application. The application is limited only by the claims and their full scope and equivalents.

Claims

1. A charging pile cable intelligent control method based on two-phase phase change heat dissipation, characterized in that, The method comprises the following steps: S1, periodically collecting two-phase variable thermal control sensing data of the charging pile (7) cable, and performing time alignment, sliding filtering, abnormality rejection, normalization and standardization processing on the two-phase variable thermal control sensing data; S2, calling the preprocessed thermal control sensing data, constructing a paraffin phase change thermal buffer load term and a fluorinated liquid heat dissipation capacity term, quantifying a phase change heat dissipation switching state index value, identifying a current dominant heat dissipation state, and generating a corresponding cooling strategy; S3, based on the instruction execution... The system uses two-phase thermal control sensing data and the actual speed of the condenser fan for each sampling period to assess the execution deviation of the current cooling strategy and determine whether to trigger a cooling strategy reset and protection mode. S4, in units of control periods, fusing the strategy deviation evaluation value and the two-phase variable thermal control sensing data, evaluating the applicability of the current cooling strategy, performing adaptive dynamic adjustment operation of the cooling strategy parameters, and realizing cooling strategy adjustment closed loop; The specific steps of identifying the current dominant heat dissipation state and generating the corresponding cooling strategy are as follows: Real-time comparison of phase change heat dissipation switching evaluation value H and phase change switching threshold H1 and H2, determination of the current dominant heat dissipation state and generation of the corresponding cooling strategy: When H≤H1, it is determined that the paraffin is the dominant heat dissipation state, and the condenser fan speed is set to the first level speed; When H1<H<H2, it is determined that the phase change transition state is the dominant heat dissipation state, the condenser fan speed is set to the second level speed, the controller issues a charging power retention instruction, and the charging power is prohibited from being increased; When H≥H2, it is determined that the fluorinated liquid is the dominant heat dissipation state, the steam transmission channel and the condenser return channel are opened, the condenser fan speed is set to the third level speed, and the conductor temperature rise rate is calculated synchronously. If the rise rate is greater than the temperature rise threshold, the controller immediately issues a charging power limitation instruction; At the same time, the paraffin phase change layer temperature is monitored in real time. If the paraffin phase change layer temperature continuously exceeds the first phase change switching threshold H1 for M consecutive sampling periods, and the conductor temperature does not decrease, the early heat state reconstruction mechanism is triggered, and it is directly determined that the fluorinated liquid is the dominant heat dissipation state; After opening the steam transmission channel and the condenser (6) return channel, the vapor-liquid temperature difference and the fluorinated liquid passage pressure difference are monitored in real time. When the monitored vapor-liquid temperature difference is lower than the temperature difference threshold, and the fluorinated liquid passage pressure difference is negative, it is determined that the cooling cycle is abnormal, the charging process is stopped, the power transmission path is cut off, and the emergency heat dissipation channel is started. Otherwise, it is determined that the cooling cycle is normal, and the current cooling strategy is maintained; The specific steps of performing adaptive dynamic adjustment operation of the cooling strategy parameters and realizing cooling strategy adjustment closed loop are as follows: The strategy adaptability judgment value in the continuous K control periods is dynamically monitored. When the strategy adaptability judgment value continuously exceeds the strategy adaptability threshold and is not in the protection mode, it is determined that the current cooling strategy has insufficient heat dissipation capacity, and the adaptive adjustment operation of the cooling strategy parameters is triggered: dynamically reducing the strategy deviation threshold, compressing the interval range of the phase change switching threshold H1 and H2, and reducing the number of accumulated strategy deviation evaluation values required to trigger the protection mode; The strategy deviation evaluation mean value of each control period, the strategy deviation threshold before and after adjustment, and the phase change switching threshold are extracted, and written into the operation log in time stamp order for subsequent data calling and control instruction tracing.

2. The dual-phase-change heat dissipation based charging pile cable intelligent control method according to claim 1, characterized in that: The specific steps of periodically collecting the two-phase change thermal control sensing data of the charging pile (7) cable and performing time alignment, sliding filtering, abnormality rejection, normalization and standardization processing on the two-phase change thermal control sensing data are as follows: A fixed-width sliding window is set as one sampling period, and the two-phase change thermal control sensing data inside and on the surface of the charging pile (7) cable are periodically collected, including conductor temperature, paraffin phase change layer temperature, fluorinated liquid evaporation zone temperature, fluorinated liquid condensation zone temperature, fluorinated liquid evaporation zone pressure, fluorinated liquid condensation zone pressure, fluorinated liquid flow rate, condenser fan speed, condenser temperature, ambient temperature, conductor current and conductor resistance; The time alignment of various two-phase change thermal control sensing data is performed through a timestamp synchronization method to correct the timing deviation caused by inconsistent sensor sampling frequencies and communication delays; a thermal state sliding window mean algorithm is constructed based on the thermal inertia characteristics in the paraffin phase change process and the fluorinated liquid vaporization process to smooth and filter out high-frequency pulse signals in the two-phase change thermal control sensing data; a multivariate joint threshold detection method is used to identify and reject abnormal operating data in the fluorinated liquid circulation; and a standard deviation standardization algorithm is used to process the two-phase change thermal control sensing data to achieve dimensionless standardization processing in a unified numerical interval.

3. The dual-phase-change heat dissipation based charging pile cable intelligent control method according to claim 1, characterized in that: The specific steps of calling the preprocessed thermal control sensing data, constructing the paraffin phase change thermal buffer load term and the fluorinated liquid heat dissipation capacity term, and quantifying the phase change heat dissipation switching state index value are as follows: The preprocessed two-phase change thermal control sensing data is extracted, the square of the conductor current is multiplied by the conductor resistance to obtain the conductor heat generation power; the conductor heat generation power is divided by the absolute value of the difference between the conductor temperature and the paraffin phase change layer temperature plus one to obtain the paraffin phase change thermal buffer load term; the fluorinated liquid evaporation zone temperature is subtracted from the fluorinated liquid condensation zone temperature to obtain the vapor-liquid temperature difference, which is squared to obtain the heat exchange temperature difference response term; the fluorinated liquid evaporation zone pressure is subtracted from the fluorinated liquid condensation zone pressure to obtain the fluorinated liquid passage pressure difference; the heat exchange temperature difference response term is divided by the product of the absolute value of the fluorinated liquid passage pressure difference and the fluorinated liquid flow rate plus one to obtain the fluorinated liquid heat dissipation capacity term; the paraffin phase change thermal buffer load term and the fluorinated liquid heat dissipation capacity term are added to obtain the phase change heat dissipation switching evaluation value.

4. The dual-phase-change heat dissipation based charging pile cable intelligent control method according to claim 1, characterized in that: The specific steps of evaluating the execution deviation of the current cooling strategy based on the two-phase change heat control sensing data and the actual rotating speed of the condenser fan in the first sampling cycle after the execution of the instructions are as follows: The actuator receives and executes the control commands for the corresponding cooling strategy, and extracts the data after the control commands are executed. The data collected during each sampling period for dual-phase thermal control sensing includes the target speed and actual speed of the condenser fan. The conductor temperature rise rate is multiplied by the ratio of charging power to rated power plus one to obtain the temperature rise load risk item. The difference between the target speed and the actual speed of the condenser fan is squared to obtain the execution deviation amplification item. The difference between the condenser temperature and the ambient temperature is divided by the conductor temperature plus one, and this ratio is multiplied by the absolute value of the difference between the target speed and the actual speed of the condenser fan to obtain the heat transfer consistency evaluation item. The temperature rise load risk item, the execution deviation amplification item, and the heat transfer consistency evaluation item are added together to obtain the strategy deviation assessment value.

5. The dual phase change heat dissipation based charging pile cable intelligent control method according to claim 1, characterized in that: The specific steps of determining whether to trigger a cooling strategy reset are as follows: The strategy deviation evaluation value and the strategy deviation threshold value are compared in real time, and when the strategy deviation evaluation value is less than or equal to the strategy deviation threshold value, it is determined that the heat dissipation is effective, and the current cooling strategy is continued to be executed; When the strategy deviation evaluation value is greater than the strategy deviation threshold value, it is determined that the heat dissipation is ineffective, and the cooling strategy is reset: the charging power is reduced, and the condenser fan speed is increased to the rated speed.

6. The dual phase change heat dissipation based charging pile cable intelligent control method according to claim 1, characterized in that: The specific steps of determining whether to trigger a protection mode are as follows: When continuous When the secondary strategy deviation assessment value exceeds the strategy deviation threshold, the protection mode is triggered: the charging process is stopped and the power transmission path is cut off, the emergency heat dissipation channel is activated, and an abnormal alarm is sent to the upper-level system; in the protection mode, the conductor temperature change trend and the strategy deviation assessment value are continuously monitored, and when the strategy deviation assessment value is continuously... When the temperature drops below the strategy deviation threshold and the conductor temperature falls below the temperature control safety range, the protection mode is exited.

7. The dual phase change heat dissipation based charging pile cable intelligent control method according to claim 1, characterized in that: The specific steps of evaluating the applicability of the current cooling strategy by fusing the strategy deviation evaluation value and the two-phase change thermal control sensing data in units of control periods are as follows: A continuous time period between the starting time of the controller issuing a control instruction and the first time when the corresponding strategy deviation evaluation value is lower than the strategy deviation threshold is defined as a control period; after each control period ends, the strategy deviation evaluation mean value is calculated by extracting all strategy deviation evaluation values in the control period; the strategy performance feedback item is obtained by taking the inverse of the strategy deviation evaluation mean value plus one and then adding one; the risk input factor is obtained by multiplying the temperature rise load risk item and the strategy performance feedback item; the condenser temperature difference item is constructed by taking the absolute value of the difference between the condenser temperature and the ambient temperature plus one; the fluorinated liquid circulation intensity item is constructed by taking the absolute value of the fluorinated liquid passage pressure difference plus one; the heat dissipation capacity factor is obtained by multiplying the condenser temperature difference item and the fluorinated liquid circulation intensity item; and the strategy adaptability judgment value is obtained by dividing the risk input factor by the heat dissipation capacity factor.

8. The charging pile cable intelligent control system based on double phase change heat dissipation, applying the charging pile cable intelligent control method based on double phase change heat dissipation according to any one of claims 1-7, characterized in that: Comprise: a thermal control data acquisition and preprocessing module, a heat dissipation state identification and judgment module, a cooling strategy regulation and execution module, and a strategy parameter adaptive adjustment module, wherein: the thermal control data acquisition and preprocessing module is configured to periodically acquire two-phase change thermal control sensing data of the charging pile (7) cable, and perform time alignment, sliding filtering, abnormality rejection, normalization and standardization processing on the two-phase change thermal control sensing data; the heat dissipation state identification and judgment module is configured to call the preprocessed thermal control sensing data, construct a paraffin phase change thermal buffer load item and a fluorinated liquid heat dissipation capacity item, quantify a phase change heat dissipation switching state index value, identify the current dominant heat dissipation state, and generate a corresponding cooling strategy; The cooling strategy control execution module is used to adjust the cooling strategy based on the order of instruction execution. The system uses two-phase thermal control sensing data and the actual speed of the condenser fan for each sampling period to assess the execution deviation of the current cooling strategy and determine whether to trigger a cooling strategy reset and protection mode. the strategy parameter adaptive adjustment module is configured to evaluate the applicability of the current cooling strategy by fusing the strategy deviation evaluation value and the two-phase change thermal control sensing data in a control period, and perform adaptive dynamic adjustment of the cooling strategy parameters to realize a cooling strategy regulation closed loop.

Images