Efficient charging pile system based on dynamic flexible charging distribution strategy

Abstract

The invention relates to the technical field of charging, in particular to an efficient charging pile system based on a dynamic flexible charging distribution strategy, and the system comprises a scene analysis unit which judges whether a slow adjustment processing strategy is adopted or not according to the idle number of power modules or the time period estimation heat degree; the first processing unit executes a slow adjustment processing strategy, power module allocation of the target vehicle is stage allocation, and an adjustment mode of second stage allocation is correspondingly determined according to the high use degree and the reference value; the calling unit is used for determining a calling processing mode based on the use interval duration balance value, and determining a calling target according to the distribution intensity of the low use interval module and the neighborhood heat coefficient; and the second processing unit executes the full-supply processing strategy. According to the invention, the adaptive flexible distribution of the power modules is realized when the charging capacity of the charging station is insufficient, and the distribution stability of the power modules is improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of charging piles, in particular to an efficient charging pile system based on a dynamic flexible charging distribution strategy. BACKGROUND

[0002] With the popularization of electric vehicles, most electric vehicles choose idle charging piles in public charging infrastructure for charging. New solutions need to be developed to cope with the growing charging demand during peak charging periods. Existing charging piles mostly use fixed power output mode or simple time sequence distribution strategy, which cannot dynamically adjust the operating state according to the real-time load of the charging station and the vehicle battery condition. Therefore, how to improve the dynamic flexible adjustment capability of the charging station is a problem to be solved by those skilled in the art.

[0003] Chinese Patent Publication No. CN120191245A discloses a charging pile flexible power distribution method and charging pile, comprising: obtaining the charging port state corresponding to the charging pile when the charging pile has to be charged equipment access; obtaining the occupation state of all charging modules in the charging pile to obtain the occupied charging module and the unoccupied charging module; obtaining the remaining power of the occupied charging module according to the rated output power and the actual output power of the occupied charging module; obtaining the target demand power of the to-be-charged equipment to obtain the supplementary power of the to-be-charged equipment according to the remaining power and the target demand power; obtaining the target charging module of the to-be-charged equipment according to the supplementary power and the rated output power of the unoccupied charging module, to switch the occupied charging module and the target charging module to charge the to-be-charged equipment, wherein the original occupation state of the occupied charging module is retained when the occupied charging module is switched. As can be seen from the above technical solution, the target charging module of the to-be-charged equipment is obtained according to the supplementary power and the rated output power of the unoccupied charging module, and the distribution of the charging module is a single distribution process. In the face of charging scenes with tight charging capacity and unstable vehicle changes, the distribution strategy cannot be adaptively adjusted according to the actual module usage, resulting in that the power distribution effect is difficult to meet the actual use demand. SUMMARY

[0004] Therefore, the present application provides an efficient charging pile system based on a dynamic flexible charging distribution strategy to overcome the problem in the prior art that in the face of charging scenes with tight charging capacity and unstable vehicle changes, the distribution strategy cannot be adaptively adjusted according to the actual module usage, resulting in that the power distribution effect is difficult to meet the actual use demand.

[0005] To achieve the above-mentioned purpose, the present application provides an efficient charging pile system based on a dynamic flexible charging distribution strategy, comprising: a scene analysis unit configured to determine a charging scene state according to the number of idle power modules and the time period estimation heat, and determine whether to adjust the full supply processing strategy to the slow adjustment processing strategy based on the charging scene state; a first processing unit connected to the scene analysis unit and configured to execute the slow adjustment processing strategy, wherein the power modules of the target vehicle are allocated in stages, the stage allocation includes a first stage allocation and a second stage allocation, and whether to adjust the number of single allocations corresponding to the second stage allocation or adjust the duration of the stage allocation is determined according to the high use degree and the reference value; a second processing unit connected to the scene analysis unit and configured to execute the full supply processing strategy; a calling unit connected to the first processing unit and the second processing unit respectively, and configured to determine the calling processing mode of the calling target as random selection or determine the calling target based on the spatial position according to the use interval duration balance value, wherein the target distance corresponding to the neighborhood range is determined according to the distribution density of the low use interval modules, and the calling target is determined according to the neighborhood heat coefficient.

[0006] Further, the scene analysis unit determines to use the slow adjustment processing strategy for the charging scene state in which the number of idle power modules is in the low energy supply range or the time period estimation heat is greater than the preset time period estimation heat.

[0007] Further, the first processing unit executes the slow adjustment processing strategy, and the power modules of the target vehicle are allocated in stages, the number of power modules of the first stage allocation is the reference supply amount, and the reference supply amount is determined based on the remaining power of the target vehicle.

[0008] Further, the first processing unit determines whether to adjust the number of single allocations corresponding to the second stage allocation based on the high use degree and the reference value for the progress state in which the high use degree and the reference value is greater than the preset high use degree and reference value.

[0009] Further, the first processing unit determines whether to increase the duration of the stage allocation based on the scene demand rising coefficient for the progress state in which the high use degree and the reference value is less than or equal to the preset high use degree and reference value.

[0010] Further, the calling unit determines the use interval duration balance value based on the use interval duration of each power module, and determines the calling processing mode based on the use interval duration balance value; If the use interval duration balance value is greater than the preset use interval duration balance value, any power module is randomly selected as the calling target; If the use interval duration balance value is less than or equal to the preset use interval duration balance value, the calling target is determined based on the spatial position.

[0011] Further, the calling unit determines the calling target based on the spatial position, and selects a low-use interval module with the minimum neighborhood heat coefficient in the corresponding neighborhood range as the calling target.

[0012] Further, the calling unit determines the target distance corresponding to the neighborhood range based on the distribution density of the low-use interval module. The target distance of the neighborhood range and the distribution density of the low-use interval module are in a positive correlation.

[0013] Further, the scene analysis unit determines to adopt the full supply processing strategy for the charging scene state in which the number of idle power modules is in the high energy supply number range and the time period estimated heat is less than or equal to the preset time period estimated heat.

[0014] Further, the second processing unit executes the full supply processing strategy, and the number of power modules allocated to the target vehicle is the same as the demand number of the target vehicle.

[0015] Compared with the prior art, the beneficial effects of the present application are that the scene analysis unit is provided, which can reflect the charging load of the charging station in the historical period according to the time period estimated heat, and reflect the remaining charging capacity of the charging station in the current period according to the number of idle power modules, and correspondingly adopts the slow adjustment processing strategy for the subsequent access of the charging demand in the high load charging scene state, thereby avoiding the problem of tight use of idle power modules caused by the prior art that the module allocation is completed in a single allocation.

[0016] Further, the present application reflects the concurrent degree of the high-power charging demand vehicle ending charging in the future short time according to the high degree and reference value, and correspondingly determines the charging adjustment mode of the second stage allocation, which takes into account the estimated change of the idle power module, so that the charging allocation strategy is more in line with the actual charging scene state, and the flexibility of the charging strategy is improved.

[0017] Further, the present application determines the calling processing mode as random selection or selection based on the spatial position by using the use interval length balance value, wherein for a single power module, the greater the corresponding use interval length, the greater the temperature reduction time, and the use degree of each power module is reflected by the use interval length balance value to avoid the safety problem caused by the excessive temperature rise of the power module due to the excessive use frequency.

[0018] Further, the present application reflects the distribution of the overall low-use interval module through the distribution density of the low-use interval module, and correspondingly determines the target distance corresponding to the neighborhood range, so as to accurately determine the area of the neighborhood range and further improve the effectiveness of selecting the calling target. BRIEF DESCRIPTION OF DRAWINGS

[0019] Fig. 1 A module connection diagram of the high-efficiency charging pile system based on the dynamic flexible charging distribution strategy of the application; Fig. 2 A flowchart for determining the second-stage distribution adjustment mode according to the high-use degree and the reference value of the application; Fig. 3 A flowchart for determining the calling processing mode according to the use interval length balance value of the application. DETAILED DESCRIPTION

[0020] In order to make the objects and advantages of the present application clearer, the present application will be further described below in conjunction with embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and should not be used to limit the present application. In order to make the objects and advantages of the present application clearer, the present application will be further described below in conjunction with embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and should not be used to limit the present application.

[0021] The preferred embodiments of the present application will be described below with reference to the accompanying drawings. Those skilled in the art should understand that these embodiments are only used to explain the technical principles of the present application and are not intended to limit the protection scope of the present application.

[0022] It should be noted that in the description of the present application, the terms "upper", "lower", "left", "right", "inner", "outer" and the like indicate the direction or positional relationship terms based on the direction or positional relationship shown in the drawings, which are only for the convenience of description and do not indicate or imply that the device or element must have a particular orientation, be constructed and operated in a particular orientation, and therefore cannot be understood as limiting the present application.

[0023] Please refer to Figs. 1 to 3 The present application provides a high-efficiency charging pile system based on a dynamic flexible charging distribution strategy, which comprises: a scene analysis unit, configured to determine a charging scene state according to the number of idle power modules and the time period estimated heat, and determine whether to adjust the full supply processing strategy to the slow adjustment processing strategy based on the charging scene state; a first processing unit connected with the scene analysis unit, configured to execute the slow adjustment processing strategy, and distribute the power modules of the target vehicle into stage distribution, wherein the stage distribution comprises first-stage distribution and second-stage distribution, and determine whether to adjust the single distribution number corresponding to the second-stage distribution or adjust the stage distribution time length based on the scene demand rising coefficient according to the high-use degree and the reference value; a second processing unit connected with the scene analysis unit, configured to execute the full supply processing strategy; The calling unit is connected with the first processing unit and the second processing unit respectively, and is used for determining the calling processing mode of the calling target as random selection or space position determination based on the usage interval length balance value, wherein the target distance corresponding to the neighborhood range is determined according to the distribution density of the low usage interval module, and the calling target is determined according to the neighborhood heat coefficient.

[0024] The application is applied to power module distribution management of charging piles of charging stations. The power module is used to convert AC power from a power grid or an energy storage device into DC power required by electric vehicle charging. All power modules are centrally installed in one or more central power cabinets. A charging gun can call power modules from any central power cabinet to connect the power modules. In the embodiment of the application, the power of the power module is 30KW, the number of the power modules is 160, and the number of the central power cabinets is 10. It can be understood that the manager can adjust the above numbers according to the actual charging demand of the charging station. The target vehicle is a vehicle to be charged (not assigned a power module) currently connected to the charging gun. In actual application, after the target vehicle is connected to the charging gun, the target vehicle sends charging demand information to the communication device arranged in the charging pile corresponding to the charging gun through a CAN bus (or other protocol). The communication device forwards the charging demand information to the scene analysis unit. The charging demand information includes but is not limited to battery voltage, demand power, maximum allowable charging power, and remaining power of the vehicle battery.

[0025] Under the full supply processing strategy, the second processing unit obtains the charging demand information corresponding to the target vehicle, and assigns a demand number of power modules to charge the target vehicle. The demand number = demand power / single module power. The demand number is finally set as an integer rounded up. It is worth noting that the demand number should be ensured to be less than the preset maximum number. The value of the preset maximum number is the demand number of the target vehicle plus one. In the embodiment of the application, the value of the preset maximum number is 15.

[0026] During the charging process, if the remaining power of the target vehicle reaches a preset power, the number of power modules corresponding to the target vehicle is adjusted to a low power number, which is half of the demand number. The preset power is 80% of the full power of the target vehicle. It can be known that large current charging will generate a large amount of heat. In the later stage of charging, the chemical activity inside the battery is high, and the heat generation is greater. If high-power charging continues, the heat will accumulate rapidly, causing the battery temperature to be too high, which can accelerate aging and even cause danger. Therefore, the preset power is set to control the temperature rise by reducing the charging power. Therefore, the higher the safety requirement of the manager for battery charging, the smaller the preset power.

[0027] Specifically, the scene analysis unit determines to adopt the slow adjustment processing strategy for a charging scene state in which the number of idle power modules is in the low power supply number range or the estimated heat of the time period is greater than the preset estimated heat of the time period.

[0028] The number of idle power modules is the total number of power modules in an idle state, and if a power module is not currently called for allocation to a vehicle for use, the power module is in an idle state; for 24 hours corresponding to each day, 24 reference time periods are evenly divided, and for the i-th reference time period, the confirmation method of the corresponding time period estimated heat is to detect the historical vehicle peak value corresponding to the reference time period, and the average value of the historical vehicle peak value is recorded as the time period estimated heat, wherein the maximum number of vehicles in the charging station in the i-th reference time period corresponding to each day before the current time is extracted, and the average value of the maximum number of vehicles is recorded as the historical vehicle peak value, i=1, 2, 3, …, 24, in the embodiment of the application, the reference time period is divided from 0 as the starting point, the i-th reference time period is the time period between i-1 and i, for example, the second reference time period is the time period between 1 and 2, i.e. 1:00 to 2:00, it can be understood that there will be overlapping time points between two adjacent reference time periods, which will not affect the feasibility of the scheme.

[0029] The application has an idle reference minimum value and an idle reference maximum value, wherein the values in the low power supply number range are all greater than or equal to the idle reference minimum value and less than the idle reference maximum value, and the values in the high power supply number range are all greater than or equal to the idle reference maximum value; if the number of idle power modules is less than the idle reference minimum value, the number of power modules allocated to the target vehicle is fixedly set to 2; in the embodiment of the application, the idle reference minimum value is 8% of the total number of power modules, and the idle reference maximum value is 50% of the total number of power modules, the idle reference minimum value and the idle reference maximum value are both integers obtained by rounding down, the minimum value of the idle reference minimum value is 2, and a value obtaining method is provided, the minimum value and the maximum value of the idle module in the idle state corresponding to the unqualified working condition are extracted and recorded as the idle reference minimum value and the idle reference maximum value, respectively; if the number of vehicles that do not meet the power in a reference time period corresponding to any day is greater than a preset non-satisfactory number, the charging process corresponding to the reference time period is recorded as an unqualified working condition, the target vehicle that needs power is greater than the total power of the power module in the idle state when the target vehicle accesses the charging pile, in the embodiment of the application, the preset non-satisfactory number is 10, and the value of the preset non-satisfactory number can be understood that the higher the requirement of the management personnel for the power supply capacity, the lower the value of the preset non-satisfactory number.

[0030] The preset time period estimation heat value is 30 in the embodiment of the application. It can be understood that the time period estimation heat reflects the busy degree of the power module. The greater the time period estimation heat, the more likely the use frequency of the power module is high in the corresponding time period, and the problem that the power module cannot meet the calling demand is likely to occur. Therefore, the greater the demand of the management personnel for the use capacity of the power module, the lower the preset time period estimation heat value.

[0031] Specifically, the first processing unit executes the buffer adjustment processing strategy, and the power module allocated to the target vehicle is allocated in stages. The number of power modules in the first stage allocation is the reference supply amount, which is determined based on the remaining power of the target vehicle.

[0032] The stage allocation includes the first stage allocation and the second stage allocation. In the first stage allocation of the target vehicle, the reference supply amount of power modules is allocated to the target vehicle, and the second stage allocation is executed. In the second stage allocation, power module allocation is performed once every stage allocation time period. The corresponding single allocation amount in each power module allocation is the same, and the total power of the power module corresponding to the target vehicle is greater than or equal to the demand power of the target vehicle. The single allocation amount in the second stage allocation is the allocation amount when the power module is allocated once every stage allocation time period. It is worth noting that if the single allocation amount of the power module in the second stage allocation is greater than the instantaneous demand amount, then only the single allocation amount corresponding to the power module allocation in this time is adjusted to the instantaneous demand amount. The instantaneous demand amount = the demand amount of the target vehicle - the total number of power modules already allocated to the target vehicle.

[0033] If the remaining power of the target vehicle is less than or equal to 20% of its full power, the reference supply amount is 3. If the remaining power of the target vehicle is greater than 20% of its full power, the reference supply amount is 2.

[0034] Specifically, the first processing unit determines whether to adjust the single allocation amount corresponding to the second stage allocation based on the high use degree and conclusion difference value for the progress state in which the high use degree and conclusion reference value is greater than the preset high use degree and conclusion reference value.

[0035] The confirmation method of the high use degree and conclusion reference value is to detect the total number of target vehicles whose remaining power is greater than or equal to 80% of its full power in the last complete reference time period before the current time, which is denoted as the high use degree and conclusion reference value. The high use degree and conclusion difference value = the high use degree and conclusion reference value - the preset high use degree and conclusion reference value. If the high use degree and conclusion difference value is less than or equal to the preset high use degree and conclusion difference value, the single allocation amount does not need to be adjusted, and the single allocation amount is 1.

[0036] If the high-use degree and joint difference value is greater than the preset high-use degree and joint difference value, the single distribution quantity is adjusted, and the single distribution quantity corresponding to the adjusted second stage distribution is equal to 1 + the high-use degree and joint difference value / preset high-use degree and joint difference value. The single distribution quantity is provided with a maximum allowable value, and the value of the single distribution quantity should be ensured to be less than or equal to the maximum allowable value.

[0037] The value of the preset high-use degree and joint reference value can be understood as follows: the high-use degree and joint reference value reflects the degree of concurrent end of work of the subsequent power module in a short time. The greater the high-use degree and joint reference value, the more power modules that become idle state, the higher the requirement of the management personnel on the distribution strategy of the power module distribution strategy, and the higher the value of the corresponding preset high-use degree and joint reference value. A value is provided, and the value of the preset high-use degree and joint reference value is 8.

[0038] The value of the preset high-use degree and joint difference value can be understood as follows: the high-use degree and joint difference value reflects the exceeding degree of the high-use degree and joint reference value relative to the preset high-use degree and joint reference value required by the management personnel. The greater the high-use degree and joint difference value, the stronger the usability of the subsequent power module. Therefore, based on the high-use degree and joint difference value, it is determined whether to adjust the single distribution quantity corresponding to the second stage distribution. Therefore, the higher the requirement of the management personnel on the usability of the subsequent power module, the greater the preset high-use degree and joint difference value. A value is provided, and the preset high-use degree and joint difference value is 4.

[0039] The higher the value of the maximum allowable value, the greater the fluctuation of the number of power modules in the idle state, and the higher the requirement of the management personnel on the use stability of the power module. The lower the value of the maximum allowable value, the lower the value of the maximum allowable value. A value is provided, and the maximum allowable value is 3.

[0040] Specifically, the first processing unit determines whether to increase the stage distribution duration based on the scene demand rising coefficient for the progress state in which the high-use degree and joint reference value is less than or equal to the preset high-use degree and joint reference value.

[0041] The confirmation method of the scene demand rising coefficient is as follows: for the most recent complete reference period, a plurality of time points in the reference period are uniformly extracted, which are recorded as detection time points. The change difference value corresponding to each detection time point is calculated, and the sum of the change difference values is recorded as the scene demand rising coefficient.

[0042] For a single detection time point, the change difference value corresponding thereto is the difference between the number of high-power vehicles corresponding to the detection time point and the number of high-power vehicles of the next detection time point.

[0043] The high-power vehicle is a target vehicle whose remaining power at the detection moment is less than the preset power and whose demand power is greater than the preset demand power. In the present example, the number of extracted detection moments is 10 for a single reference period. It can be understood that the higher the demand of the management personnel for the judgment accuracy of the scene demand rising coefficient, the greater the value of the number of detection moments.

[0044] The value of the preset demand power can be understood as follows. The demand power reflects the occupancy degree of the power module of the target vehicle during charging. The greater the demand power, the greater the number of power modules required to be allocated to the target vehicle. The greater the acceptance of the management personnel for the demand power of the target vehicle, the higher the value of the preset demand power. A value of 120 kW is provided for the preset demand power.

[0045] If the scene demand rising coefficient is less than or equal to the preset scene demand rising coefficient, the stage allocation time length does not need to be adjusted, and the stage allocation time length is set to the reference time length. If the scene demand rising coefficient is greater than the preset scene demand rising coefficient, the stage allocation time length is increased. The stage allocation time length after the increase adjustment = the reference time length + the scene demand rising coefficient / the preset scene demand rising coefficient. In the present example, the value of the reference time length is 15 min, and the preset scene demand rising coefficient is 10. It can be understood that the greater the stage allocation time length, the greater the interval degree of the idle state power module, and the smaller the fluctuation degree of the number of idle state power modules. Therefore, the greater the reference time length, the higher the demand of the management personnel for the stability of the use of the idle state power module.

[0046] The scene demand rising coefficient reflects the change trend of the number of high-power vehicles in the current period. The greater the scene demand rising coefficient, the greater the number of high-power vehicles in the period, the greater the demand for power modules, the higher the tolerance of the management personnel to the change degree of the number of high-power vehicles, and the higher the value of the preset scene demand rising coefficient. A value extraction method is provided. The scene demand rising coefficient of the historical working condition that meets the demand of the management personnel is extracted, the abnormal values in the scene demand rising coefficient are removed, and the average value of the scene demand rising coefficient after removing the abnormal values is taken as the preset scene demand rising coefficient.

[0047] In the present application, the record of the historical working condition records the corresponding parameter record in the historical process of the charging pile system, including but not limited to the scene demand rising coefficient and the use interval time length balance value. Whether the historical working condition meets the demand of the management personnel can be determined according to the self-set standard. For example, the number of vehicles waiting to charge in the historical process of the charging pile system corresponding to the historical working condition can be used as the self-set standard. This is understood by those skilled in the art and will not be described here.

[0048] Specifically, the retrieval unit determines the usage interval balance value based on the usage interval duration of each power module, and determines the retrieval processing method based on the usage interval balance value; If the usage interval balance value is greater than the preset usage interval balance value, then any power module will be randomly selected as the retrieval target. If the usage interval balance value is less than or equal to the preset usage interval balance value, the target to be retrieved is determined based on the spatial location.

[0049] For a single power module in an idle state, the usage interval is the time between the current moment and the moment when the power module last stopped supplying power. The usage interval balance value is calculated as follows: ; in, This represents the number of power modules that are in an idle state. For the first The usage interval of a power module that is in an idle state. This represents the average usage interval of power modules that are in an idle state. To use interval balance values.

[0050] The preset usage interval balance value reflects the fluctuations in the usage interval of each power module over a recent period. Power module retrieval needs to consider the impact of module temperature; therefore, a smaller usage interval balance value indicates a greater difference in idle time between power modules, potentially leading to temperature differences. Thus, the retrieval target needs to be determined based on spatial location. The lower the likelihood of management personnel noticing temperature differences between power modules, the higher the preset usage interval balance value should be. A method is provided to extract the usage interval balance value corresponding to historical operating conditions that meet management requirements, remove outliers from the usage interval balance value, and use the average of the outlier-removed usage interval balance values ​​as the preset usage interval balance value.

[0051] Specifically, the retrieval unit determines the retrieval target based on spatial location, and selects the low-usage-interval module with the smallest neighborhood heat coefficient within the corresponding neighborhood range as the retrieval target.

[0052] Specifically, the retrieval unit determines the target distance corresponding to the neighborhood range based on the distribution density of the low usage interval modules; The target distance within the neighborhood is positively correlated with the distribution density of modules with low usage intervals.

[0053] For usage intervals less than The power module of the low usage interval is recorded as a low usage interval module, and for a single low usage interval module, the target distance of the corresponding neighborhood range is equal to the regular distance multiplied by (1+L), L is the distribution density / preset distribution density, and L is an integer rounded up, the regular distance is the minimum distance between the power modules installed in the central power cabinet in actual use, and the maximum value of L should not exceed half of the maximum distance between the power modules installed in the central power cabinet in actual use. For a single low usage interval module, when the target distance of the neighborhood range is determined, the distribution density of the low usage interval module in the central power cabinet where the low usage interval module is located is detected, and the distribution density is equal to 1-(first volume / second volume), the first volume is determined by detecting the spatial positions of each low usage interval module in the central power cabinet, the minimum volume of the cube that can include all low usage interval modules in space is recorded as the first volume, and the minimum volume of the cube that can include all power modules in space is recorded as the second volume, for a single low usage interval module, it is recorded as a target module, if the minimum distance between another power module and the target module is less than the target distance, then the power module is in the neighborhood range of the target module.

[0054] The specific placement mode of the power modules in a single central power cabinet is not limited, and in the embodiment of the application, the power modules in a single central power cabinet are horizontally and multi-layered stacked, and are divided into 4 layers in the vertical direction, and 4 power modules are horizontally placed in each layer.

[0055] For a single low usage interval module, the neighborhood heat coefficient is equal to 1 / average value of the usage interval time of each power module in the neighborhood range corresponding to the low usage interval module.

[0056] Specifically, the scene analysis unit determines to adopt the full supply processing strategy for the charging scene state in which the number of idle power modules is in the high energy supply number range and the time period estimated heat is less than or equal to the preset time period estimated heat.

[0057] Specifically, the second processing unit executes the full supply processing strategy, and the number of power modules allocated to the target vehicle is the same as the demand number of the target vehicle. Wherein, the power modules are obtained by randomly selecting from the idle state power.

[0058] So far, the technical scheme of the application has been described in combination with the preferred embodiments shown in the drawings, but those skilled in the art can easily understand that the protection scope of the application is obviously not limited to these specific embodiments. Those skilled in the art can make equivalent changes or replacements to the related technical features without departing from the principles of the application, and the technical schemes after the changes or replacements will fall within the protection scope of the application.

Claims

1. A high-efficiency charging pile system based on a dynamic flexible charging allocation strategy, characterized in that, include: The scenario analysis unit is used to determine the charging scenario status based on the number of idle power modules and the estimated heat during the time period, and to determine whether to adjust the full supply processing strategy to a slow adjustment processing strategy based on the charging scenario status. The first processing unit, which is connected to the scenario analysis unit, is used to execute a gradual adjustment processing strategy. The power module allocation for the target vehicle is divided into phases, including a first phase allocation and a second phase allocation. The unit determines whether to adjust the single allocation quantity corresponding to the second phase allocation based on the high usage and reference value, or whether to adjust the phase allocation duration based on the scenario demand increase coefficient. The second processing unit, which is connected to the scene analysis unit, is used to execute the full supply processing strategy. The retrieval unit, which is connected to the first processing unit and the second processing unit respectively, is used to determine the retrieval target based on the usage interval duration balance value. The retrieval processing method is random selection or determination of the retrieval target based on spatial location. Specifically, the target distance corresponding to the neighborhood range is determined according to the distribution density of the low usage interval module, and the retrieval target is determined according to the neighborhood heat coefficient.

2. The high-efficiency charging pile system based on a dynamic flexible charging allocation strategy according to claim 1, characterized in that, The scenario analysis unit determines and adopts a gradual adjustment strategy for charging scenarios where the number of idle power modules is in a low power supply range or the estimated heat during a time period is greater than the estimated heat during a preset time period.

3. The high-efficiency charging pile system based on a dynamic flexible charging allocation strategy according to claim 2, characterized in that, The first processing unit executes a gradual adjustment strategy, allocating power modules to the target vehicle in stages. The number of power modules allocated in the first stage is the baseline supply, which is determined based on the remaining battery power of the target vehicle.

4. The high-efficiency charging pile system based on a dynamic flexible charging allocation strategy according to claim 3, characterized in that, For progress status where the high usage and settlement reference value is greater than the preset high usage and settlement reference value, the first processing unit determines whether to adjust the single allocation quantity corresponding to the second stage allocation based on the high usage and settlement difference.

5. The high-efficiency charging pile system based on a dynamic flexible charging allocation strategy according to claim 4, characterized in that, For progress statuses where the high usage and settlement reference value is less than or equal to the preset high usage and settlement reference value, the first processing unit determines whether to increase the stage allocation duration based on the scenario demand increase coefficient.

6. The high-efficiency charging pile system based on a dynamic flexible charging allocation strategy according to claim 5, characterized in that, The retrieval unit determines the usage interval balance value based on the usage interval duration of each power module, and determines the retrieval processing method based on the usage interval balance value; If the usage interval balance value is greater than the preset usage interval balance value, then any power module will be randomly selected as the retrieval target. If the usage interval balance value is less than or equal to the preset usage interval balance value, the target to be retrieved is determined based on the spatial location.

7. The high-efficiency charging pile system based on a dynamic flexible charging allocation strategy according to claim 6, characterized in that, The retrieval unit determines the retrieval target based on spatial location, and selects the low-usage-interval module with the smallest neighborhood heat coefficient within the corresponding neighborhood range as the retrieval target.

8. The high-efficiency charging pile system based on a dynamic flexible charging allocation strategy according to claim 7, characterized in that, The retrieval unit determines the target distance corresponding to the neighborhood range based on the distribution density of the low-usage-interval modules; The target distance within the neighborhood is positively correlated with the distribution density of modules with low usage intervals.

9. The high-efficiency charging pile system based on a dynamic flexible charging allocation strategy according to claim 1, characterized in that, The scenario analysis unit determines to adopt a full-supply processing strategy for charging scenarios where the number of idle power modules is in the range of high power supply and the estimated heat during the time period is less than or equal to the estimated heat during the preset time period.

10. The high-efficiency charging pile system based on a dynamic flexible charging allocation strategy according to claim 9, characterized in that, The second processing unit executes a full-supply processing strategy, allocating the same number of power modules to the target vehicle as the number required by the target vehicle.

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