A high-power-density main unit, flexible distribution method, architecture, and liquid-cooled charging pile

Abstract

This invention provides a high-power-density main unit, a flexible power allocation method, an architecture, and a liquid-cooled charging pile, relating to the field of flexible power allocation technology. The method includes acquiring valid charging data from charging ports and collecting real-time charging demand data from charging targets, performing charging supply demand analysis to form charging demand supply data; based on the charging demand supply data, performing flexible power allocation analysis on the total charging power to form flexible power allocation data; and performing real-time power allocation processing on different charging ports based on the flexible power allocation data to form real-time power allocation data. This method rationally achieves flexible power allocation, significantly improving the utilization rate of electrical energy.

Description

Technical Field

[0001] This invention relates to the field of power flexible distribution technology, and more specifically, to a high-power-density main unit and a flexible distribution method, architecture, and liquid-cooled charging pile. Background Technology

[0002] With the increasing popularity of new energy vehicles, the supporting charging infrastructure and equipment are also becoming more and more abundant, and their technology is becoming more and more mature. In particular, the emergence of high-power charging, namely supercharging and fast charging piles, is gradually making up for the shortcoming of long charging time for electric vehicles. Of course, high-power charging faces problems including cooling and power distribution.

[0003] Regarding power allocation, flexible power allocation has been proposed, which is technically feasible. However, how to allocate power reasonably to improve the utilization rate of electrical energy has become an important problem to be solved.

[0004] Therefore, designing a high-power-density main unit and a flexible power distribution method, architecture, and liquid-cooled charging pile to reasonably achieve flexible power distribution and greatly improve the utilization rate of electrical energy is an urgent problem to be solved. Summary of the Invention

[0005] The purpose of this invention is to provide a flexible power allocation method. By comparing and analyzing the effective charging limit data of the charging port and the real-time charging demand data of the charging object, a power supply data that satisfies both the charging performance of the charging port and the optimal charging power data of the charging object under actual charging conditions is formed. At the same time, the power allocation is carried out reasonably for multiple charging ports, so as to fully match the charging power of different charging objects on different charging ports. On the one hand, it can reasonably ensure that the charging object can be charged efficiently. On the other hand, it integrates the power supply of multiple charging piles, which not only avoids the waste of electrical energy by low-power demand objects, but also allows for the adjustment of power allocation among multiple charging objects to fully meet the electrical energy demand of some high-power demand objects, greatly improving the utilization rate of electrical energy and enhancing the charging experience of the charging object.

[0006] The present invention also aims to provide a flexible power allocation architecture. This architecture provides charging power to multiple charging ports through a power input unit, and utilizes a demand analysis unit to generate flexible power allocation data based on a comprehensive analysis of the demand data and charging performance data of the charging ports. This allocation data is then provided to the flexible allocation unit to allocate the input power of the power input unit. Overall, this forms a flexible power allocation system, effectively ensuring the implementation of flexible power allocation.

[0007] The present invention also aims to provide a high power density host, which completes the process from power input to demand analysis and then to power allocation through three different power units, effectively ensuring the rational allocation of power, further improving the utilization rate of electrical energy, and saving resources.

[0008] The present invention also aims to provide a liquid-cooled charging pile, which has multiple charging ports for connecting external charging guns; multiple charging guns of a number matched with the charging ports for connecting to the object being charged for transmitting charging power; and a liquid cooling unit for temperature control of the charging ports and charging guns.

[0009] In a first aspect, the present invention provides a flexible allocation method, comprising: acquiring valid charging data of a charging port and collecting real-time charging demand data of a charging object, performing charging supply demand analysis to form charging demand supply data; performing flexible allocation analysis on the total charging power based on the charging demand supply data to form flexible charging allocation data; and performing real-time power allocation processing on different charging ports based on the flexible charging allocation data to form real-time power allocation data.

[0010] In this invention, the method combines effective charging limit data of the charging port with real-time charging demand data of the charging object to form power supply data that satisfies both the charging performance of the charging port and the optimal charging power data of the charging object under actual charging conditions. At the same time, the power allocation is reasonably processed for multiple charging ports, which fully realizes the matching of charging power for different charging objects on different charging ports. On the one hand, it can reasonably ensure that the charging object can be charged efficiently. On the other hand, it integrates the power supply of multiple charging piles, which not only avoids the waste of electrical energy by low-power demand objects, but also allows for the adjustment of power allocation among multiple charging objects to fully meet the electrical energy demand of some high-power demand objects, greatly improving the utilization rate of electrical energy and enhancing the charging experience of the charging object.

[0011] One possible implementation involves acquiring valid charging data from the charging port and collecting real-time charging demand data from the charging target. This data is then used to perform charging supply and demand analysis, generating charging demand and supply data. This includes determining the allowable charging power limit curves for different charging ports based on their valid charging data. Where n represents the number of the different charging ports, and T represents the charging duration starting from the start of charging; real-time charging demand data of the charging objects corresponding to different charging ports are obtained, and combined with the corresponding allowable charging power limit curves. Conduct corresponding charging supply analysis to generate charging demand and supply data for different charging ports.

[0012] In this invention, to generate reasonable charging demand supply data for the charging port's charging capacity and the charging power requirements of the charging objects, two aspects need to be considered. One is the power limitation data that the charging port can provide. The allowable charging power limitation curve is essentially a variable function, related to the temperature of the charging port at the start of charging. Therefore, if the time interval between the start of charging and the completion of charging of the previous charging object does not reach the rated cooling time, the curve data will change due to the temperature, requiring relative data adjustment. Of course, the curve data is not only related to temperature, but the influence of temperature data on the curve data is mainly reflected in the interval between different charging objects. Other factors, such as cooling system parameters and grid power supply parameters, are mainly reflected in the actual charging process. Therefore, establishing a correspondence between the allowable charging power limitation data of the charging port and the charging time is more reasonable. Furthermore, as the charging time increases, the charging temperature will also change, affecting the power limitation. After all, the role of cooling under high power conditions cannot completely eliminate the influence of temperature on charging performance. The allowable charging power limit data for this charging port uses charging time as a flexible allocation reference, only needing to consider the initial temperature value at the start of charging to form real-time allowable charging power limit data. On the other hand, it considers the charging power required by the charging target; by acquiring the real-time charging demand data of the target, the required power data can be obtained. These two aspects of power data are comprehensively considered and analyzed to form charging demand supply data specific to the charging port and the charging target.

[0013] One possible approach is to obtain real-time charging demand data for objects connected to different charging ports, and combine this data with the corresponding allowable charging power limit curves. Perform corresponding charging supply analysis to generate charging demand and supply data for different charging ports, including: obtaining the optimal charging power curve for different charging ports. t represents the predicted charging time from the start of charging to the charging object, based on the allowable charging power limit curve corresponding to the charging port. The following charging supply analysis is performed: if the charging supply meets the following conditions at any point in time during the entire predicted charging duration of the charging object. ≤ Then the optimal charging power curve of the object will be... The charging demand power supply curve corresponding to the charging port is determined. If, within the entire predicted charging time of the charging object, there exists a corresponding time period... > Then, the optimal charging power at the corresponding time point is replaced with the allowable charging power, and the power curve is smoothed at both ends of the time period to form the charging demand power supply curve corresponding to the charging port. .

[0014] In this invention, the charging control of the charging object after docking with the charging port comes from two aspects: the charging power data provided by the charging port and the performance management of the battery by the charging object itself. Typically, under different battery usage conditions, the charging system of the charging object will provide optimal charging power data beneficial to the battery, i.e., the optimal charging power curve of the object. However, in reality, the charging port's charging limit data may not necessarily meet the optimal charging power data of the charging object. To ensure that reasonable power supply data is provided as much as possible, this application forms a reasonable power supply curve by comparing the allowable charging power limit curve and the object's optimal charging power curve to select power at different charging time points. It should be noted that if the optimal charging power is too high and the charging port cannot meet it, peak clipping processing needs to be performed on the optimal charging power curve during this power data time period. After peak clipping, the curve exhibits uneven power supply at the two time endpoints of this segment. This unevenness can negatively impact the charging circuit; therefore, smoothing processing is used to eliminate it. Various smoothing methods exist, such as smoothing based on the continuity of the power curve at that position, or smoothing based on averaging values ​​at the endpoints of the curve in both directions, etc.

[0015] As one possible implementation, a flexible allocation analysis of the total charging power is performed based on charging demand and supply data to generate flexible charging allocation data, including: charging demand and power supply curves corresponding to different charging ports. Determine the total charging power demand curve ,in, Get real-time total charging power And based on the total charging power demand curve Perform flexible allocation analysis to generate charging flexible allocation data.

[0016] In this invention, after performing a reasonable power demand analysis for each charging port based on the charging needs of the target user, reasonable flexible power allocation requires a power supply analysis of the multiple charging ports involved in the power allocation, based on their power demands. Before this analysis, it is necessary to first determine the overall power demand to ascertain whether the power supply meets the overall requirements.

[0017] As one possible implementation, obtain the real-time total charging power. And based on the total charging power demand curve Perform flexible allocation analysis to generate charging flexible allocation data, including: based on the real-time total charging power. and total charging power demand curve Perform flexible allocation analysis in the following manner: if at the corresponding time point ≤ This forms the entire charging time, which is then allocated and calibrated on demand; if within the corresponding time period... > If so, then the corresponding time period will be flagged as exceeding the limit, and other time periods that meet the limit will be flagged as exceeding the limit. ≤ The time periods are calibrated for on-demand allocation; for the time periods calibrated for on-demand allocation, the power supply curve for charging demand is used as a reference. Power is allocated, and the remaining power is stored. For the time period calibrated as exceeding the limit, power adjustment analysis is performed based on the battery life, and power adjustment allocation result data is generated.

[0018] In this invention, the purpose of flexible allocation is to determine the total power demand of the multiple charging ports involved in the flexible allocation and then provide a corresponding allocation method. This mainly involves two scenarios. The first scenario is where the total charging power demand is within the range of the real-time total charging power. That is, the real-time total charging power provided by the multiple charging ports involved in the flexible allocation system can meet the power demands of all charging objects corresponding to those ports. In this case, power allocation can be performed based on the charging power supply curve formed by each charging port for the charging object. If the total demand power is not exactly equal to the real-time total power, there is surplus power, which can be allocated to energy storage devices such as batteries for storage and to provide secondary power for subsequent use. The second scenario is where the total charging power demand does not fall within the range of the real-time charging power. In this case, it is necessary to calibrate the time periods exceeding the real-time charging power based on the time dimension for separate and reasonable power allocation, while other time periods are allocated on demand according to the first scenario.

[0019] As one possible implementation, power adjustment analysis based on battery life is performed on the time periods calibrated as exceeding limits to generate power adjustment allocation result data. This includes: identifying the time periods calibrated as exceeding limits as power adjustment periods, and obtaining the time-limited charging power demand corresponding to different charging objects within the power adjustment periods. And determine the total power demand of the target during the power adjustment period. ,in, , This indicates the adjustment duration corresponding to the power adjustment period; the total power required by different charging objects. Perform total power according to the charging demand of the object Sort the power ratios from largest to smallest and form a set A of ordered power ratios, where A = [ , , ..., ], k is the total power required by the charging object according to the object's charging needs. The ordered numbering after sorting. This represents the sequential power ratio corresponding to the charging object with sequential number k during the power adjustment period; based on the set of sequential power ratios, a power allocation analysis based on the implicit extension of charging time is performed to form power adjustment allocation result data.

[0020] In this invention, the power allocation for charging periods exceeding limits considers two aspects. First, the total power output comes from the charging demand; different demands have different power requirements, and ranking them according to power demand size determines the power requirements of different demanders. Second, the varying power demands of charging demands generally stem from the individual's management of battery usage. Therefore, power allocation can be adjusted based on battery usage. Of course, the differences in power demand among different charging targets may directly lead to different charging times. Therefore, the impact of power adjustments on charging time and the resulting charging experience must also be considered when allocating power.

[0021] As one possible implementation, based on the sequential power ratio set A, a power allocation analysis based on the implicit extension of charging time is performed to generate power adjustment allocation result data, including: obtaining the remaining predicted charging time of the charging object. And by setting a proportional adjustment parameter α, the adjustment power ratio corresponding to different charging objects in the power adjustment period is determined according to the arrangement order of the power ratio set A. ,in: , , This means when k < When M=-1, when k≥ At this time, M=1, where M is the power of the adjustment parameter; based on the adjusted power ratio for different charging objects after adjustment. The real-time total charging power corresponding to the power adjustment period. Power values ​​are allocated to generate power adjustment allocation result data.

[0022] In this invention, the original charging power ratio is adjusted primarily because faster charging devices acquire more power, requiring some power to be allocated to devices with lower charging power. On one hand, reducing the power value of devices with higher charging power can extend their battery life to some extent, as prolonged fast and supercharging significantly impacts battery life. On the other hand, allocating some power to devices with longer charging times improves their charging efficiency, preventing excessively long charging times that negatively impact the charging experience. However, this application considers that significantly reducing power for devices with shorter charging times might result in a noticeable increase in charging time and negatively affect the charging experience in supercharging and fast charging modes. Therefore, under the sequential power ratio, half the total number of devices is used as a boundary. For the first half of devices with relatively shorter charging times, less power is extracted for shorter charging times to avoid a poor charging experience for supercharging and fast charging devices. Conversely, for the second half of devices with longer charging times, more power is extracted for longer charging times to ensure more effective charging and reduce charging time. The proportional adjustment parameter can be set according to the difference in charging time between the objects being charged simultaneously, so as to avoid extracting too much charging power from the objects with shorter charging time due to excessive difference in charging time.

[0023] Secondly, the present invention provides a flexible allocation architecture, comprising: a power input unit for acquiring the maximum input power to provide the charging demand power to the charging port; a demand analysis unit for performing demand analysis on the real-time charging demand data of the charging port to form charging demand supply data, and performing flexible allocation analysis on the input power provided by the power input unit to form flexible charging allocation data; a flexible allocation unit for performing real-time power allocation processing for different charging ports according to the flexible charging allocation data formed by the demand analysis unit; and a charging port for charging the object according to the charging power allocated by the flexible allocation unit.

[0024] In this invention, the architecture provides charging power to multiple charging ports through a power input unit. A demand analysis unit, based on a comprehensive analysis of the demand data and charging performance data of the charging ports, generates flexible power allocation data. This allocation data is then provided to a flexible allocation unit to distribute the input power of the power input unit. Overall, this forms a flexible power allocation system, effectively ensuring the implementation of flexible power allocation.

[0025] Thirdly, the present invention provides a high power density host, comprising: a power input unit for acquiring the maximum input power to provide the charging demand power to the charging port; a demand analysis unit for performing demand analysis on the real-time charging demand data of the charging port to form charging demand supply data, and performing flexible allocation analysis on the input power provided by the power input unit to form charging flexible allocation data; and a flexible allocation unit for performing real-time power allocation processing for different charging ports according to the charging flexible allocation data formed by the demand analysis unit.

[0026] In this invention, the host completes the process from power input to demand analysis and then to power allocation through three different power units, which effectively ensures the rational allocation of power, further improves the utilization rate of electrical energy, and saves resources.

[0027] Fourthly, the present invention provides a liquid-cooled charging pile, comprising: multiple charging ports for connecting external charging guns; multiple charging guns of a number matching the number of charging ports for connecting to the object being charged for transmitting charging power; and a liquid cooling unit for controlling the temperature of the charging ports and the charging guns.

[0028] In this invention, the charging pile connects to the user via a charging port, the charging gun is designed to meet charging distance requirements, and a liquid cooling unit ensures the continuous and stable operation of the charging gun and charging port. The liquid cooling unit can be water-cooled or other coolants with high heat transfer efficiency. Typically, a return flow channel is established between the charging port and the charging gun head to effectively exchange heat across the entire circuit, thereby controlling the circuit temperature. Of course, the heat after exchange can be removed in ways not limited to heat exchange, such as by installing a heat-energy conversion device within the charging pile, and simultaneously providing a power pump to control the coolant flow rate throughout the cooling channel to improve cooling efficiency.

[0029] The beneficial effects of the high-power-density main unit, flexible distribution method, architecture, and liquid-cooled charging pile provided by this invention are as follows:

[0030] This method combines effective charging limit data of the charging port with real-time charging demand data of the charging object to form power supply data that satisfies both the charging performance of the charging port and the optimal charging power data of the charging object under actual charging conditions. At the same time, power allocation is carried out reasonably for multiple charging ports, which fully realizes the matching of charging power for different charging objects on different charging ports. On the one hand, it can reasonably ensure that the charging object can charge efficiently. On the other hand, it integrates the power supply of multiple charging piles, which not only avoids the waste of electrical energy by low-power demand objects, but also adjusts the power allocation among multiple charging objects to fully meet the electrical energy demand of some high-power demand objects, greatly improving the utilization rate of electrical energy and enhancing the charging experience of the charging object.

[0031] This architecture provides charging power to multiple charging ports through a power input unit. A demand analysis unit, based on a comprehensive analysis of demand and charging performance data from these ports, generates flexible power allocation data. This data is then provided to a flexible allocation unit to distribute the input power to the power input unit. Overall, this forms a flexible power allocation system, effectively ensuring the implementation of flexible power allocation.

[0032] The host completes the process from power input to demand analysis and then to power allocation through three different power units, effectively ensuring the rational allocation of power, further improving the utilization rate of electrical energy, and saving resources.

[0033] The charging station has multiple charging ports for connecting external charging guns; multiple charging guns, each matching the number of charging ports, are used to connect to the object being charged for power transmission; and a liquid cooling unit is used to control the temperature of the charging ports and charging guns. Attached Figure Description

[0034] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings used in the embodiments of the present invention will be briefly introduced below. It should be understood that the following drawings only show some embodiments of the present invention and should not be regarded as a limitation on the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0035] Figure 1 A flowchart illustrating the steps of a flexible allocation method provided in an embodiment of the present invention;

[0036] Figure 2 This is a schematic diagram of a flexible distribution architecture, a high-power-density host, and a liquid-cooled charging pile provided in an embodiment of the present invention. Detailed Implementation

[0037] The technical solutions of the present invention will now be described with reference to the accompanying drawings in the embodiments of the present invention.

[0038] With the increasing popularity of new energy vehicles, the supporting charging infrastructure and equipment are also becoming more and more abundant, and their technology is becoming more and more mature. In particular, the emergence of high-power charging, namely supercharging and fast charging piles, is gradually making up for the shortcoming of long charging time for electric vehicles. Of course, high-power charging faces problems including cooling and power distribution.

[0039] Regarding power allocation, flexible power allocation has been proposed, which is technically feasible. However, how to allocate power reasonably to improve the utilization rate of electrical energy has become an important problem to be solved.

[0040] refer to Figures 1-2 This invention provides a flexible power allocation method. This method combines effective charging limit data of charging ports with real-time charging demand data of charging objects for comparative analysis to form power supply data that satisfies both the charging performance of the charging ports and the optimal charging power data of the charging objects under actual charging conditions. At the same time, the power allocation is carried out reasonably for multiple charging ports, which fully realizes the matching of charging power for different charging objects on different charging ports. On the one hand, it can reasonably ensure that the charging objects can be charged efficiently. On the other hand, it integrates the power supply of multiple charging piles, which not only avoids the waste of electrical energy by low-power demand objects, but also allows for the adjustment of power allocation among multiple charging objects to fully meet the electrical energy demand of some high-power demand objects, greatly improving the utilization rate of electrical energy and enhancing the charging experience of charging objects.

[0041] A flexible allocation method specifically includes the following steps:

[0042] S1: Obtain valid charging data from the charging port and collect real-time charging demand data of the charging object, perform charging supply and demand analysis, and form charging demand and supply data.

[0043] Acquire valid charging data from the charging port and collect real-time charging demand data from the charging target. Perform charging supply and demand analysis to generate charging demand and supply data, including: determining the allowable charging power limit curves for different charging ports based on the valid charging data for different charging ports. Where n represents the number of the different charging ports, and T represents the charging duration starting from the start of charging; real-time charging demand data of the charging objects corresponding to different charging ports are obtained, and combined with the corresponding allowable charging power limit curves. Conduct corresponding charging supply analysis to generate charging demand and supply data for different charging ports.

[0044] To determine reasonable charging demand and supply data for charging ports and the charging power requirements of different users, two aspects need to be considered. First, the power limit data that the charging port can provide. The allowable charging power limit curve is essentially a variable function, related to the charging port temperature at the start of charging. Therefore, if the time interval between the start of charging and the completion of charging by the previous user does not reach the rated cooling time, the curve data will change due to temperature, requiring corresponding adjustments. Of course, the curve data is not solely related to temperature; however, the impact of temperature is mainly reflected in the interval between different users. Other factors, such as cooling system parameters and grid power parameters, are primarily reflected in the actual charging process. Therefore, establishing a correlation between the allowable charging power limit data and the charging duration is more reasonable. Furthermore, as the charging duration increases, the charging temperature also changes, affecting the power limit. After all, cooling cannot completely eliminate the impact of temperature on charging performance under high power conditions. The allowable charging power limit data for this charging port uses charging time as a flexible allocation reference, only needing to consider the initial temperature value at the start of charging to form real-time allowable charging power limit data. On the other hand, it considers the charging power required by the charging target; by acquiring the real-time charging demand data of the target, the required power data can be obtained. These two aspects of power data are comprehensively considered and analyzed to form charging demand supply data specific to the charging port and the charging target.

[0045] Obtain real-time charging demand data for objects using different charging ports, and combine this data with the corresponding allowable charging power limit curves. Perform corresponding charging supply analysis to generate charging demand and supply data for different charging ports, including: obtaining the optimal charging power curve for different charging ports. t represents the predicted charging time from the start of charging to the charging object, based on the allowable charging power limit curve corresponding to the charging port. The following charging supply analysis is performed: if the charging supply meets the following conditions at any point in time during the entire predicted charging duration of the charging object. ≤ Then the optimal charging power curve of the object will be... The charging demand power supply curve corresponding to the charging port is determined. If, within the entire predicted charging time of the charging object, there exists a corresponding time period... > Then, the optimal charging power at the corresponding time point is replaced with the allowable charging power, and the power curve is smoothed at both ends of the time period to form the charging demand power supply curve corresponding to the charging port. .

[0046] For the device being charged, charging control after docking with the charging port depends on two factors: the charging power data provided by the charging port and the device's own battery performance management. Typically, under different battery usage conditions, the charging system provides optimal charging power data beneficial to the battery, i.e., the optimal charging power curve. However, in reality, the charging port's charging limitations may not always meet the optimal charging power requirements. To ensure a reasonable power supply, this application compares the allowable charging power limitation curve with the optimal charging power curve to select power at different charging time points, thus forming a reasonable power supply curve to meet power demand. It should be noted that if the optimal charging power is too high for the charging port to meet, peak clipping is needed on the optimal charging power curve for that time period. After peak clipping, the curve exhibits uneven power supply at the two time endpoints of that segment, which negatively impacts the charging circuit. Therefore, smoothing is used to eliminate this unevenness. Various smoothing methods exist, such as smoothing based on the continuity of the power curve at that position, or smoothing based on averaging values ​​at the endpoints in both directions of the curve.

[0047] S2: Based on the charging demand supply data, perform a flexible allocation analysis of the total charging power to generate flexible charging allocation data.

[0048] Based on charging demand and supply data, a flexible allocation analysis of the total charging power is performed to generate flexible charging allocation data, including: charging demand power supply curves corresponding to different charging ports. Determine the total charging power demand curve ,in, Get real-time total charging power And based on the total charging power demand curve Perform flexible allocation analysis to generate charging flexible allocation data.

[0049] After conducting a reasonable power demand analysis for each charging port based on the charging needs of the target user, reasonable flexible power allocation requires a power supply analysis of the multiple charging ports involved in the power allocation. Before this analysis, it is necessary to first determine the overall power demand to ascertain whether the power supply meets the overall requirements.

[0050] Get real-time total charging power And based on the total charging power demand curve Perform flexible allocation analysis to generate charging flexible allocation data, including: based on the real-time total charging power. and total charging power demand curve Perform flexible allocation analysis in the following manner: if at the corresponding time point ≤ This forms the entire charging time, which is then allocated and calibrated on demand; if within the corresponding time period... > If so, then the corresponding time period will be flagged as exceeding the limit, and other time periods that meet the limit will be flagged as exceeding the limit. ≤ The time periods are calibrated for on-demand allocation; for the time periods calibrated for on-demand allocation, the power supply curve for charging demand is used as a reference. Power is allocated, and the remaining power is stored. For the time period calibrated as exceeding the limit, power adjustment analysis is performed based on the battery life, and power adjustment allocation result data is generated.

[0051] The purpose of flexible power allocation is to determine the total power demand of multiple charging ports involved in the allocation and then provide a corresponding allocation method. This mainly involves two scenarios. The first scenario is when the total charging power demand is within the range of the real-time total charging power. This means the real-time total charging power provided by the multiple charging ports in the flexible allocation system can meet the power demands of all objects being charged. In this case, power allocation can be performed based on the charging power supply curve formed by each charging port for its respective object. If the total demand power is not exactly equal to the real-time total power, there is surplus power, which can be allocated to energy storage devices such as batteries for storage and to provide secondary power for subsequent use. The second scenario is when the total charging power demand falls outside the range of the real-time charging power. In this case, the time periods exceeding the real-time charging power need to be calibrated for separate and reasonable power allocation, while other time periods are allocated on demand according to the first scenario.

[0052] For the time periods calibrated as exceeding limits, a power adjustment analysis based on battery life is performed to generate power adjustment allocation result data, including: identifying the time periods calibrated as exceeding limits as power adjustment periods, and obtaining the time-limited charging power demand corresponding to different charging objects within the power adjustment periods. And determine the total power demand of the target during the power adjustment period. ,in, , This indicates the adjustment duration corresponding to the power adjustment period; the total power required by different charging objects. Perform total power according to the charging demand of the object Sort the power ratios from largest to smallest and form a set A of ordered power ratios, where A = [ , , ..., ], k is the total power required by the charging object according to the object's charging needs. The ordered numbering after sorting. This represents the sequential power ratio corresponding to the charging object with sequential number k during the power adjustment period; based on the set of sequential power ratios, a power allocation analysis based on the implicit extension of charging time is performed to form power adjustment allocation result data.

[0053] Regarding power allocation during charging periods exceeding limits, this application considers two aspects. First, the total power output comes from the charging demand; different demanders have different power requirements, and prioritizing them by power demand size determines the power requirements of different demanders. Second, the varying power demands of different charging demanders primarily stem from their management of battery usage. Therefore, power allocation can be adjusted based on battery usage. Of course, the differences in power demand among different charging targets may directly lead to different charging times. Therefore, when allocating power, the impact of power adjustments on charging time and consequently on the charging experience must also be considered.

[0054] Based on the sequential power ratio set A, a power allocation analysis based on implicit extension of charging time is performed to generate power adjustment allocation result data, including: obtaining the remaining predicted charging time of the charging object. And by setting a proportional adjustment parameter α, the adjustment power ratio corresponding to different charging objects in the power adjustment period is determined according to the arrangement order of the power ratio set A. ,in: , , This means when k < When M=-1, when k≥ At this time, M=1, where M is the power of the adjustment parameter; based on the adjusted power ratio for different charging objects after adjustment. The real-time total charging power corresponding to the power adjustment period. Power values ​​are allocated to generate power adjustment allocation result data.

[0055] The adjustment to the original charging power ratio primarily considers that faster-charging devices acquire more power, requiring some power to be allocated to devices with lower charging power. On one hand, reducing the power value of devices with higher charging power can extend their battery life to some extent, as prolonged fast and supercharging significantly impacts battery life. On the other hand, allocating some power to devices with longer charging times improves charging efficiency and prevents prolonged charging times that negatively impact the charging experience. However, this application considers that significantly reducing the power for devices with shorter charging times might result in a noticeable increase in charging time during supercharging and fast charging, negatively affecting the charging experience. Therefore, under the sequential power ratio, half the number of devices is used as a boundary. For the first half of devices with relatively shorter charging times, less power is extracted for shorter charging times to avoid a poor charging experience for supercharging and fast charging devices. Conversely, for the second half of devices with longer charging times, more power is extracted for longer charging times to ensure more effective charging and reduce charging time. The proportional adjustment parameter can be set according to the difference in charging time between the objects being charged simultaneously, so as to avoid extracting too much charging power from the objects with shorter charging time due to excessive difference in charging time.

[0056] S3: Based on the charging flexible allocation data, perform real-time power allocation processing on different charging ports to form real-time power allocation data.

[0057] By analyzing the determined power allocation data, power is allocated to different charging ports to ensure that the charging supply for the charging needs of the target users is fully met, while also greatly improving the utilization rate of electrical energy.

[0058] This invention also provides a flexible allocation architecture, comprising: a power input unit for acquiring the maximum input power to provide the charging demand power to the charging port; a demand analysis unit for performing demand analysis on the real-time charging demand data of the charging port to form charging demand supply data, and performing flexible allocation analysis on the input power provided by the power input unit to form flexible charging allocation data; a flexible allocation unit for performing real-time power allocation processing for different charging ports according to the flexible charging allocation data formed by the demand analysis unit; and a charging port for charging the object according to the charging power allocated by the flexible allocation unit.

[0059] This architecture provides charging power to multiple charging ports through a power input unit. A demand analysis unit, based on a comprehensive analysis of demand and charging performance data from these ports, generates flexible power allocation data. This data is then provided to a flexible allocation unit to distribute the input power to the power input unit. Overall, this forms a flexible power allocation system, effectively ensuring the implementation of flexible power allocation.

[0060] The present invention also provides a high power density host, which includes: a power input unit for acquiring the maximum input power to provide the charging demand power to the charging port; a demand analysis unit for performing demand analysis on the real-time charging demand data of the charging port to form charging demand supply data, and performing flexible allocation analysis on the input power provided by the power input unit to form charging flexible allocation data; and a flexible allocation unit for performing real-time power allocation processing for different charging ports according to the charging flexible allocation data formed by the demand analysis unit.

[0061] The host completes the process from power input to demand analysis and then to power allocation through three different power units, effectively ensuring the rational allocation of power, further improving the utilization rate of electrical energy, and saving resources.

[0062] The present invention also provides a liquid-cooled charging pile, which includes: multiple charging ports for connecting external charging guns; multiple charging guns of a number matched with the charging ports for connecting to the object being charged for transmitting charging power; and a liquid cooling unit for temperature control of the charging ports and charging guns.

[0063] This charging station connects to users via a charging port, and the charging gun is designed to meet charging distance requirements. A liquid cooling unit ensures the continuous and stable operation of both the charging gun and the charging port. The liquid cooling unit can be water-cooled or use other coolants with high heat transfer efficiency. Typically, a return flow channel is established between the charging port and the charging gun head to effectively exchange heat throughout the entire circuit, thus controlling the circuit temperature. Of course, the heat exchanged can be carried away in ways not limited to heat exchange, such as by incorporating a heat-energy conversion device within the charging station, and simultaneously providing a power pump to control the coolant flow rate throughout the cooling channel to improve cooling efficiency.

[0064] It is understandable that, under the flexible allocation architecture, the high-power-density main unit and the liquid-cooled charging pile form a complete organic whole for flexible allocation, providing an important material basis for flexible power allocation charging.

[0065] In summary, the beneficial effects of the high-power-density main unit, flexible allocation method, architecture, and liquid-cooled charging pile provided by this invention are as follows:

[0066] This method combines effective charging limit data of the charging port with real-time charging demand data of the charging object to form power supply data that satisfies both the charging performance of the charging port and the optimal charging power data of the charging object under actual charging conditions. At the same time, power allocation is carried out reasonably for multiple charging ports, which fully realizes the matching of charging power for different charging objects on different charging ports. On the one hand, it can reasonably ensure that the charging object can charge efficiently. On the other hand, it integrates the power supply of multiple charging piles, which not only avoids the waste of electrical energy by low-power demand objects, but also adjusts the power allocation among multiple charging objects to fully meet the electrical energy demand of some high-power demand objects, greatly improving the utilization rate of electrical energy and enhancing the charging experience of the charging object.

[0067] This architecture provides charging power to multiple charging ports through a power input unit. A demand analysis unit, based on a comprehensive analysis of demand and charging performance data from these ports, generates flexible power allocation data. This data is then provided to a flexible allocation unit to distribute the input power to the power input unit. Overall, this forms a flexible power allocation system, effectively ensuring the implementation of flexible power allocation.

[0068] The host completes the process from power input to demand analysis and then to power allocation through three different power units, effectively ensuring the rational allocation of power, further improving the utilization rate of electrical energy, and saving resources.

[0069] The charging station has multiple charging ports for connecting external charging guns; multiple charging guns, each matching the number of charging ports, are used to connect to the object being charged for power transmission; and a liquid cooling unit is used to control the temperature of the charging ports and charging guns.

[0070] In the embodiments of this application, "instruction" can include direct and indirect instructions, as well as explicit and implicit instructions. The information indicated by a certain piece of information is called the information to be instructed. In the specific implementation process, there are many ways to instruct the information to be instructed, such as, but not limited to, directly instructing the information to be instructed, such as the information to be instructed itself or its index. It can also indirectly instruct the information to be instructed by instructing other information, where there is a relationship between the other information and the information to be instructed. It can also instruct only a part of the information to be instructed, while the other parts are known or pre-agreed upon. For example, the instruction of specific information can be achieved by using a pre-agreed (e.g., protocol-defined) arrangement of various pieces of information, thereby reducing instruction overhead to some extent. At the same time, common parts of various pieces of information can be identified and uniformly indicated to reduce the instruction overhead caused by individually indicating the same information.

[0071] Furthermore, the specific indication method can also be any existing indication method, such as, but not limited to, the above-mentioned indication methods and their various combinations. Specific details of various indication methods can be found in existing technologies, and will not be repeated here. As described above, for example, when multiple pieces of information of the same type need to be indicated, the indication methods for different pieces of information may differ. In the specific implementation process, the required indication method can be selected according to specific needs. This application embodiment does not limit the selected indication method; therefore, the indication methods involved in this application embodiment should be understood to cover various methods that enable the party to be indicated to obtain the information to be indicated.

[0072] It should be understood that the information to be indicated can be sent as a whole or divided into multiple sub-information messages sent separately, and the sending period and / or timing of these sub-information messages can be the same or different. The specific sending method is not limited in this application embodiment. The sending period and / or timing of these sub-information messages can be predefined, for example, according to a protocol, or configured by the sending device by sending configuration information to the receiving device.

[0073] "Predefined" or "pre-configured" can be achieved by pre-saving corresponding codes, tables, or other means that can be used to indicate relevant information in the device. This application does not limit the specific implementation method. "Saving" can refer to saving in one or more memories. These memories can be separate installations or integrated into the encoder, decoder, processor, or communication device. Alternatively, some memories can be separately installed, while others are integrated into the decoder, processor, or communication device. The type of memory can be any form of storage medium, and this application does not limit this.

[0074] The “protocol” mentioned in this application embodiment may refer to a protocol family in the field of communication, a standard protocol with a similar protocol family frame structure, or a related protocol applied to future communication systems. This application embodiment does not specifically limit this.

[0075] In the embodiments of this application, descriptions such as "when," "under the circumstances," "if," and "if" all refer to the device making corresponding processing under certain objective circumstances, and are not limited to a specific time. They do not require the device to make a judgment action during implementation, nor do they imply any other limitations.

[0076] In the description of the embodiments of this application, unless otherwise stated, " / " indicates that the objects before and after are in an "or" relationship. For example, A / B can represent A or B. "And / or" in the embodiments of this application is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A alone, A and B simultaneously, and B alone, where A and B can be singular or plural. Furthermore, in the description of the embodiments of this application, unless otherwise stated, "multiple" refers to two or more. "At least one of the following" or similar expressions refer to any combination of these items, including any combination of single or plural items. For example, at least one of a, b, or c can represent: a, b, c, ab, ac, bc, or abc, where a, b, and c can be single or multiple. Additionally, to facilitate a clear description of the technical solutions of the embodiments of this application, the terms "first" and "second" are used in the embodiments of this application to distinguish identical or similar items with essentially the same function and effect. Those skilled in the art will understand that the terms "first," "second," etc., do not limit the quantity or order of execution, and that "first," "second," etc., are not necessarily different. Furthermore, in the embodiments of this application, words such as "exemplary" or "for example" are used to indicate that something is being used as an example, illustration, or description. Any embodiment or design scheme described as "exemplary" or "for example" in the embodiments of this application should not be construed as being more preferred or advantageous than other embodiments or design schemes. Specifically, the use of words such as "exemplary" or "for example" is intended to present the relevant concepts in a concrete manner for ease of understanding.

[0077] It should be understood that the processor in the embodiments of this application can be a central processing unit (CPU), or it can be other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor can be a microprocessor or any conventional processor, etc.

[0078] It should also be understood that the memory in the embodiments of this application can be volatile memory or non-volatile memory, or may include both volatile and non-volatile memory. The non-volatile memory can be read-only memory (ROM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), electrically erasable programmable read-only memory (EEPROM), or flash memory. The volatile memory can be random access memory (RAM), which is used as an external cache. By way of example, but not limitation, many forms of random access memory (RAM) are available, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate synchronous DRAM (DDR SDRAM), enhanced synchronous DRAM (ESDRAM), synchronous linked DRAM (SLDRAM), and direct rambus RAM (DR RAM).

[0079] The above embodiments can be implemented, in whole or in part, by software, hardware (such as circuits), firmware, or any other combination thereof. When implemented using software, the above embodiments can be implemented, in whole or in part, as a computer program product. The computer program product includes one or more computer instructions or computer programs. When the computer instructions or computer programs are loaded or executed on a computer, all or part of the processes or functions described in the embodiments of this application are generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, the computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via wired (e.g., infrared, wireless, microwave, etc.) means. The computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that includes one or more sets of available media. The available medium can be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium. A semiconductor medium can be a solid-state drive.

[0080] It should be understood that the term "and / or" in this article is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, or B existing alone. A and B can be singular or plural. Additionally, the character " / " in this article generally indicates an "or" relationship between the preceding and following related objects, but it can also represent an "and / or" relationship. Please refer to the context for a more accurate understanding.

[0081] In this application, "at least one" means one or more, and "more than one" means two or more. "At least one of the following" or similar expressions refer to any combination of these items, including any combination of a single item or a plurality of items. For example, at least one of a, b, or c can mean: a, b, c, ab, ac, bc, or abc, where a, b, and c can be a single item or multiple items.

[0082] It should be understood that in the various embodiments of this application, the order of the above-mentioned processes does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of this application.

[0083] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0084] Those skilled in the art will understand that, for the sake of convenience and brevity, the specific working processes of the systems, devices, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0085] In the several embodiments provided in this application, it should be understood that the disclosed systems, apparatuses, and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between apparatuses or units may be electrical, mechanical, or other forms.

[0086] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0087] In addition, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit.

[0088] If the aforementioned functions are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or a portion of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0089] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

Claims

1. A flexible allocation method, characterized in that, include: Acquire valid charging data from the charging port and collect real-time charging demand data from the charging object to perform charging supply and demand analysis and generate charging demand and supply data. Based on the charging demand supply data, a flexible allocation analysis of the total charging power is performed to generate flexible charging allocation data. Based on the charging flexible allocation data, real-time power allocation is performed on different charging ports to form real-time power allocation data. This includes acquiring valid charging data from the charging port and collecting real-time charging demand data from the charging target, performing charging supply and demand analysis, and forming charging demand and supply data, including: Based on the effective charging data for different charging ports, the allowable charging power limit curves corresponding to different charging ports are determined. Where n represents the number of the different charging ports, and T represents the charging duration starting from the start of charging. Obtain the real-time charging demand data of the charging object corresponding to different charging ports, and combine it with the corresponding allowable charging power limit curve. Perform corresponding charging supply analysis to generate charging demand and supply data for different charging ports; Obtain the real-time charging demand data of the charging object corresponding to different charging ports, and combine it with the corresponding allowable charging power limit curve. Perform corresponding charging supply analysis to generate charging demand and supply data for different charging ports, including: Obtain the optimal charging power curve of the object to be charged for different charging ports. t represents the predicted charging duration from the start of charging to the charging object, and is based on the allowable charging power limit curve corresponding to the charging port. The following charging supply methods will be analyzed: If the following conditions are met at any point in time during the entire predicted charging duration of the object being charged. ≤ Then the optimal charging power curve of the object will be... The power supply curve corresponding to the charging port is determined. ; If, within the entire predicted charging duration of the object being charged, there exists a time period corresponding to... > Then, the optimal charging power at the corresponding time point is replaced with the allowable charging power, and the power curve is smoothed at both ends of the time period to form the charging demand power supply curve corresponding to the charging port. ; Based on the charging demand supply data, a flexible allocation analysis of the total charging power is performed to generate flexible charging allocation data, including: According to the charging demand power supply curves corresponding to different charging ports Determine the total charging power demand curve ,in, ; Get real-time total charging power And according to the total charging power demand curve Perform flexible allocation analysis to generate the charging flexible allocation data.

2. The flexible allocation method according to claim 1, characterized in that, The method of obtaining real-time total charging power And according to the total charging power demand curve Perform flexible allocation analysis to generate the charging flexible allocation data, including: According to the real-time total charging power and the total charging power demand curve Perform flexible allocation analysis in the following manner: If at the corresponding time point ≤ This allows for the allocation and calibration of the entire charging time on demand. If in the corresponding time period > If so, then the corresponding time period will be flagged as exceeding the limit, and other time periods that meet the limit will be flagged as exceeding the limit. ≤ The time period is allocated and calibrated as needed; The power supply curve is based on the charging demand for the time period calibrated as on-demand allocation. Power is allocated, and the remaining power after allocation is stored. For the time periods calibrated as exceeding limits, a power adjustment analysis based on battery life is performed to generate power adjustment allocation result data.

3. The flexible allocation method according to claim 2, characterized in that, The power adjustment analysis based on battery life is performed on the time period calibrated as exceeding the limit, generating power adjustment allocation result data, including: The time period marked as exceeding the limit is determined as the power adjustment period, and the time-period charging power demand corresponding to different charging objects in the power adjustment period is obtained respectively. And determine the total power required by the target for charging during the power adjustment period. ,in, , This indicates the adjustment duration corresponding to the power adjustment period; The total power required by the object for charging according to the different charging objects Perform the total power according to the charging requirements of the object. Sort the power ratios from largest to smallest and form a set A of ordered power ratios, where A = [ , , ..., ], k is the total power required by the object to be charged according to its charging needs. The ordered numbering after sorting. This represents the sequential power ratio value corresponding to the charging object with sequential number k during the power adjustment period; Based on the set of sequential power ratios, a power allocation analysis based on the implicit extension of charging time is performed to form the power adjustment allocation result data.

4. The flexible allocation method according to claim 3, characterized in that, The step of performing power allocation analysis based on implicit extension of charging time according to the sequential power ratio set A to form the power adjustment allocation result data includes: Obtain the remaining predicted charging time of the object being charged. And set a proportional adjustment parameter α to determine the adjustment power ratio corresponding to different charging objects during the power adjustment period according to the arrangement order of the power ratio set A. ,in: ， ， This means when k < When M=-1, when k≥ When M=1, M is the power of the adjustment parameter; According to the adjusted power ratio for different charging objects The real-time total charging power corresponding to the power adjustment period. Power values ​​are allocated to form the power adjustment allocation result data.

5. A flexible allocation architecture, employing the flexible allocation method according to any one of claims 1-4, characterized in that, include: The power input unit is used to obtain the maximum input power that provides the charging power required by the charging port. The demand analysis unit is used to perform demand analysis on the real-time charging demand data of the charging port to form charging demand supply data, and to perform flexible allocation analysis on the input power provided by the power input unit to form charging flexible allocation data. The flexible allocation unit is used to perform real-time power allocation processing for different charging ports based on the charging flexible allocation data generated by the demand analysis unit. The charging port is used to charge the object according to the charging power allocated by the flexible distribution unit.

6. A high-power-density mainframe, applied to the flexible allocation architecture of claim 5, characterized in that, include: The power input unit is used to obtain the maximum input power that provides the charging power required by the charging port. The demand analysis unit is used to perform demand analysis on the real-time charging demand data of the charging port to form charging demand supply data, and to perform flexible allocation analysis on the input power provided by the power input unit to form charging flexible allocation data. The flexible allocation unit is used to perform real-time power allocation processing for different charging ports based on the charging flexible allocation data generated by the demand analysis unit.

7. A liquid-cooled charging pile, applied to the flexible distribution architecture of claim 5, characterized in that, include: Multiple charging ports for connecting an external charging gun; Multiple charging guns, each matching the number of charging ports, are used to connect to the object being charged and deliver charging power. The liquid cooling unit is used to control the temperature of the charging port and charging gun.

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