Charging pile energy management method, system, device and medium

Abstract

The present application relates to a charging pile energy management method, system, device and medium, and belongs to the field of charging pile energy management technology. The energy management method includes: receiving vehicle charging demand and calculating charging urgency, while obtaining the real-time status of the charging pile to calculate the power margin, and constructing a charging pile-vehicle adaptation matrix; then, the system calculates the power allocation strategy and sends it to the vehicle end to ensure the reasonable matching of charging resources. The system calculates the safety limit in real time and adjusts the actual allocated power to ensure the safe operation of the charging pile. If the power of a certain charging pile is insufficient, the amount of power to be migrated is calculated and a load migration strategy is generated, and the bus voltage is adjusted by energy storage equipment to perform cross-pile power migration. After charging is started, the system monitors execution feedback, dynamically optimizes the power allocation strategy, and identifies inefficient charging piles for power compensation. The present application can optimize the allocation of charging pile resources, improve overall charging efficiency, and improve user experience.

Description

Technical Field

[0001] The present application relates to the technical field of charging pile energy management, and in particular to a charging pile energy management method, system, device and medium. Background Art

[0002] As global attention to environmental protection and sustainable development continues to deepen, electric vehicles (EVs), as a representative of green transportation, are gaining increasing favor among consumers. EVs play a crucial role in future transportation, particularly in reducing carbon emissions, alleviating the energy crisis, and promoting energy transformation. According to a report by the International Energy Agency (IEA), the number of electric vehicles continues to grow worldwide, making them a crucial component of the global energy transition.

[0003] However, the widespread adoption of electric vehicles has created a significant demand for charging pile infrastructure. As the bridge between electric vehicles and the power grid, the construction and management of charging piles are becoming increasingly important. To support the growing demand for EV charging, the construction of charging piles must not only focus on increasing their number but also on energy management efficiency and system operational safety. As the number of EV charging piles increases, the rational allocation and scheduling of charging pile resources, particularly the dynamic management of energy distribution among charging piles, has become a pressing technical challenge.

[0004] At present, most charging pile management systems rely on static power allocation strategies, usually adopting simple polling or allocation based on fixed time windows. This allocation method does not fully consider the differentiated needs between charging piles and vehicles. Especially when charging demand is unbalanced, it is easy to cause power overload of charging piles or waste of charging pile resources. At the same time, it will also cause the charging needs of some vehicles to not be met in a timely manner, reducing energy utilization and user experience. Summary of the Invention

[0005] In order to optimize the energy utilization rate and user experience of charging piles, the present application provides a charging pile energy management method, system, device and medium.

[0006] In a first aspect, the present application provides a charging pile energy management method, which adopts the following technical solution:

[0007] A charging pile energy management method, the energy management method comprising:

[0008] Receive vehicle charging demand information from multiple vehicle terminals and evaluate the corresponding vehicle charging urgency weights;

[0009] Acquire the real-time status data of each charging pile, verify the communication status of each charging pile, and review the real-time status data based on the verification results;

[0010] Calculating the charging pile power margin of each charging pile based on the real-time status data after data review;

[0011] Calculate the adaptation weight between each charging pile and the vehicle based on the charging pile power margin and the vehicle charging urgency, and construct a charging pile-vehicle adaptation matrix;

[0012] Based on the charging pile-vehicle adaptation matrix, a power allocation strategy is calculated and sent to each vehicle terminal;

[0013] Calculating a safety limit value according to the real-time status data of each charging pile, and adjusting the actual allocated power of the power allocation strategy based on the safety limit value;

[0014] Determine whether the actual allocated power of each charging pile meets the vehicle charging demand information of the corresponding vehicle according to the adjusted power allocation strategy; if not, calculate the amount of power to be migrated from the charging pile and generate a load migration strategy;

[0015] Receiving a vehicle connection completion signal from each charging pile, adjusting the actual allocated power of each charging pile according to the adjusted power allocation strategy, and adjusting the bus voltage through the energy storage device based on the load migration strategy to obtain corresponding execution feedback results;

[0016] The power allocation strategy is dynamically optimized and adjusted according to the execution feedback result, and inefficient charging piles are identified for power compensation.

[0017] By adopting the above technical solution, the power availability of charging piles and the charging urgency of vehicles are comprehensively considered, a charging pile-vehicle adaptation matrix is ​​constructed, and energy scheduling is performed based on the matrix. Through dynamic power allocation strategy and load migration strategy, the allocation of charging pile resources can be effectively optimized, so that the system can flexibly and efficiently respond to charging needs under different battery and charging environment conditions, ensuring the smooth progress of charging tasks; finally, the system dynamically optimizes according to the execution feedback results, identifies and compensates inefficient charging piles, and ensures that the charging pile energy management system can allocate resources efficiently and flexibly, thereby improving the energy utilization of charging piles and optimizing the user experience.

[0018] Optionally, the step of calculating the adaptation weight between each charging pile and the vehicle according to the charging pile power margin and the vehicle charging urgency includes:

[0019] Obtain the charging interface type and communication protocol type of each charging pile and vehicle and match them to obtain the interface matching status and communication protocol matching status;

[0020] Obtain the voltage matching status of each charging pile and vehicle;

[0021] Based on a preset compatibility score mapping table, determining a corresponding interface type compatibility factor according to the interface matching situation, determining a corresponding voltage matching compatibility factor according to the voltage matching situation, and determining a corresponding communication protocol compatibility factor according to the communication protocol matching situation;

[0022] Calculating a comprehensive compatibility factor between the charging pile and the vehicle based on the interface type compatibility factor, the voltage matching compatibility factor, and the communication protocol compatibility factor;

[0023] The adaptation weight between each charging pile and the vehicle is calculated based on the power margin of the charging pile, the urgency of vehicle charging and the comprehensive compatibility factor.

[0024] By adopting the above technical solution, the adaptation weight between each charging pile and the vehicle is comprehensively calculated according to the interface type, communication protocol and voltage matching between the charging pile and the vehicle. Therefore, based on the power margin and charging urgency, charging resources are preferentially allocated to charging piles and vehicles with high matching degrees, thereby achieving optimal allocation of charging resources, improving charging efficiency and ensuring an efficient and smooth charging process.

[0025] Optionally, the step of calculating a power allocation strategy based on the charging pile-vehicle adaptation matrix includes:

[0026] Converting the charging pile-vehicle adaptation matrix into a matching cost matrix;

[0027] Performing column reduction and row reduction based on the matching cost matrix to obtain an adjusted matching cost matrix;

[0028] Find the matching pair that minimizes the total matching cost in the adjusted matching cost matrix, determine the vehicle that matches each charging pile, and obtain the optimal matching result;

[0029] Based on the optimal matching result, the actual allocated power of each charging pile is determined to obtain a power allocation strategy.

[0030] By adopting the above technical solution, the optimal power allocation plan is calculated based on the adaptation matrix of the charging pile and the vehicle, the power margin and the charging urgency, ensuring efficient allocation of resources between the charging pile and the vehicle, and ensuring that vehicles with high urgency are preferentially allocated to charging piles with large power margins, thereby realizing efficient, safe and intelligent charging pile energy management.

[0031] Optionally, the step of calculating a safety limit value according to the real-time status data of each charging pile, and adjusting the actual allocated power of the power allocation strategy based on the safety limit value includes:

[0032] Perform data preprocessing on the real-time status data of each charging pile;

[0033] Calculate the over-limit derating coefficient of each charging pile based on the real-time status data after data preprocessing; the over-limit derating coefficient includes the temperature over-limit derating coefficient, the current over-limit derating coefficient and the voltage over-limit derating coefficient;

[0034] Calculate the safe power limit corresponding to each charging pile according to the over-limit derating factor;

[0035] Performing an over-limit status detection on each charging pile based on a preset over-limit threshold value to obtain an over-limit status detection result for each charging pile;

[0036] The power distribution of the charging pile in the over-limit state is adjusted according to the safe power limit to obtain an adjusted power distribution strategy.

[0037] By adopting the above technical solution, the real-time status of the charging pile is pre-processed and over-limit detection is performed, and the safe power limit is calculated based on the over-limit derating factor. The power allocation strategy is dynamically adjusted when the charging pile is over-limited to ensure that the charging pile will not be overloaded or overheated due to over-limit conditions such as temperature, current, and voltage, thereby effectively extending the equipment life, avoiding failures and improving the overall safety of the charging system.

[0038] Optionally, the charging pile energy management method further includes:

[0039] Recording the over-limit status detection result of each charging pile, and accumulating the number of over-limit times for each charging pile;

[0040] Freeze the energy allocation of charging piles that exceed the limit by a preset number of times within a preset time period;

[0041] Adjusting the charging pile-vehicle adaptation matrix according to the frozen charging pile, and updating the power allocation strategy based on the current load state of the frozen charging pile;

[0042] Sending maintenance reminder information to the corresponding maintenance terminal according to the frozen charging pile;

[0043] receiving maintenance completion feedback information from the maintenance terminal in real time;

[0044] In response to the maintenance completion feedback information, the energy distribution state of the frozen charging pile is restored and the charging pile participates in power distribution again.

[0045] By adopting this technical solution, combined with over-limit detection for charging piles, automated management of charging pile resource allocation is achieved. The system automatically freezes allocation permissions when a charging pile exceeds its limit, and ensures the smooth completion of charging tasks through real-time monitoring, dynamic adjustment of power allocation strategies, and adaptation matrix weights.

[0046] Optionally, the step of adjusting the charging pile-vehicle adaptation matrix according to the frozen charging pile and updating the power allocation strategy based on the current load state of the frozen charging pile includes:

[0047] Determine the charging pile freezing list based on the frozen charging piles;

[0048] Obtain the current load status of each frozen charging pile in the charging pile freezing list, and calculate the load requirements to be allocated for all frozen charging piles;

[0049] Determine the target charging pile for migration according to the load demand to be allocated, and obtain a load migration strategy;

[0050] Removing all frozen matching relationships of charging piles in the charging pile-vehicle adaptation matrix, and adjusting the charging pile-vehicle adaptation matrix based on the load migration strategy;

[0051] Recalculate based on the adjusted charging pile-vehicle adaptation matrix to obtain an updated power allocation strategy.

[0052] By adopting this technical solution, after freezing the charging piles, the current load is properly handled, ensuring that charging tasks are not affected. Furthermore, by dynamically adjusting the charging pile-vehicle adaptation matrix and power allocation strategy, efficient allocation of charging pile resources is ensured, maximizing charging pile utilization. This mechanism enhances the robustness and flexibility of charging stations, ensuring stable and efficient operation of the charging network.

[0053] In a second aspect, the present application provides a charging pile energy management system, which adopts the following technical solutions:

[0054] A charging pile energy management system, the energy management system comprising:

[0055] A charging demand processing module is used to receive vehicle charging demand information from multiple vehicle terminals and evaluate the corresponding vehicle charging urgency weights;

[0056] A communication verification processing module is used to obtain the real-time status data of each charging pile, verify the communication status of each charging pile, and review the real-time status data according to the verification result;

[0057] A power margin calculation module, configured to calculate the charging pile power margin of each charging pile based on the real-time status data after data review;

[0058] An adaptation matrix construction module is used to calculate the adaptation weight between each charging pile and the vehicle according to the charging pile power margin and the vehicle charging urgency, and construct a charging pile-vehicle adaptation matrix;

[0059] A power distribution module is used to calculate a power distribution strategy based on the charging pile-vehicle adaptation matrix and send it to each vehicle end;

[0060] A safety limit processing module, configured to calculate a safety limit based on the real-time status data of each charging pile, and adjust the actual allocated power of the power allocation strategy based on the safety limit;

[0061] a judgment module, configured to judge whether the actual allocated power of each charging pile meets the vehicle charging demand information of the corresponding vehicle according to the adjusted power allocation strategy; if not, output a first judgment result;

[0062] a load migration module, configured to calculate the amount of power to be migrated of the charging pile and generate a load migration strategy in response to the first judgment result;

[0063] An energy control module is configured to receive a vehicle connection completion signal from each charging pile, adjust the actual allocated power of each charging pile according to the adjusted power allocation strategy, and adjust the bus voltage through the energy storage device based on the load migration strategy to obtain corresponding execution feedback results;

[0064] A feedback optimization module is used to dynamically optimize and adjust the power allocation strategy according to the execution feedback results, and identify inefficient charging piles for power compensation.

[0065] Optionally, the charging pile energy management system further includes:

[0066] The over-limit recording module is used to record the over-limit status detection results of each charging pile and accumulate the number of over-limit times for each charging pile;

[0067] Energy distribution freezing module, used to freeze energy distribution of charging piles whose number of over-limit times reaches a preset number of thresholds within a preset time period;

[0068] A power allocation adjustment module, configured to adjust the charging pile-vehicle adaptation matrix according to the frozen charging pile, and update the power allocation strategy based on the current load state of the frozen charging pile;

[0069] A maintenance reminder module, configured to send maintenance reminder information to a corresponding maintenance terminal according to the frozen charging pile;

[0070] A maintenance feedback module is used to receive maintenance completion feedback information from the maintenance terminal in real time;

[0071] The energy distribution recovery module is used to restore the energy distribution state of the frozen charging pile and re-participate in power distribution in response to the maintenance completion feedback information.

[0072] In a third aspect, the present application provides a computer device that adopts the following technical solution:

[0073] A computer device comprises a memory, a processor and a computer program stored in the memory, wherein the processor executes the computer program to implement the steps of the method according to the first aspect.

[0074] In a fourth aspect, the present application provides a computer-readable storage medium, which adopts the following technical solution:

[0075] A computer-readable storage medium stores a computer program capable of being loaded by a processor and executing any one of the methods in the first aspect.

[0076] In summary, the present application includes at least one of the following beneficial technical effects: through the joint calculation of the charging pile power margin and the vehicle charging urgency, accurate power allocation and dynamic optimization are achieved to ensure efficient utilization of charging resources and stable operation of the system. Through communication status verification and data review, the reliability of charging pile data is improved, and the allocated power is adjusted based on the safety limit to avoid the risk of overload. If the charging pile power is insufficient, the system calculates the power to be migrated and generates a load migration strategy. With the help of energy storage equipment, the bus voltage is adjusted to achieve cross-pile power distribution to ensure the smooth progress of the charging task. In addition, the system performs dynamic optimization through execution feedback, compensates for inefficient charging piles, and improves the overall charging efficiency. This technical solution improves the intelligence level, load balancing capability and safety of the charging system. It is suitable for large-scale charging station management and helps the efficient operation of new energy infrastructure. BRIEF DESCRIPTION OF THE DRAWINGS

[0077] Figure 1 This is a first flow chart of a charging pile energy management method according to one embodiment of the present application.

[0078] Figure 2 This is a second flow chart of the charging pile energy management method according to one embodiment of the present application.

[0079] Figure 3 This is a third flow chart of the charging pile energy management method according to one embodiment of the present application.

[0080] Figure 4 This is a fourth flow chart of the charging pile energy management method according to one embodiment of the present application.

[0081] Figure 5This is a fifth flow chart of the charging pile energy management method according to one embodiment of the present application.

[0082] Figure 6 This is a sixth flow chart of the charging pile energy management method according to one embodiment of the present application. DETAILED DESCRIPTION

[0083] In order to make the purpose, technical solutions and advantages of this application more clear, the following Figure 1-6 It should be understood that the specific embodiments described herein are only used to explain the present application and are not intended to limit the present application.

[0084] The embodiment of the present application discloses a charging pile energy management method.

[0085] Reference Figure 1 , a charging pile energy management method, the energy management method comprising:

[0086] Step S101, receiving vehicle charging demand information from multiple vehicle terminals and evaluating corresponding vehicle charging urgency weights;

[0087] Among them, vehicle charging demand information includes: the current SOC (State of Charge) of the vehicle battery, that is, the current charging state of the battery, usually expressed as a percentage; the charging deadline, that is, the expected charging completion time set by the user; and the maximum allowable charging current, that is, the maximum charging current acceptable to each vehicle.

[0088] It's important to note that within a charging management system, the charging requirements of different vehicles can vary significantly. For example, some vehicles may have a low SOC and require rapid charging, while others may have a longer charging window. Therefore, before allocating energy, it's necessary to receive and assess vehicle charging requirements to improve the efficiency of charging resource allocation, ensure that high-demand vehicles receive priority charging, and reduce unnecessary waiting time.

[0089] In some embodiments, the charging urgency can be calculated based on a mathematical model by receiving real-time information from the vehicle, including the current battery SOC, the user-set charging deadline, the vehicle's maximum allowable charging current, etc. For example, the charging urgency depends on the vehicle's SOC (State of Charge) and the required charging time, specifically:

[0090] Urgency = (1-SOC) × e -Δt / τ ;

[0091] Among them, SOC is the remaining power ratio of the vehicle's current battery, Δt is the difference between the current time and the user-set expected charging completion time, and τ is the time decay factor obtained by training based on historical data.

[0092] For example, suppose there are three vehicles: Vehicle A: SOC 10%, requiring a full charge within 1 hour; Vehicle B: SOC 50%, requiring a full charge within 4 hours; Vehicle C: SOC 30%, requiring a full charge within 2 hours. According to the above urgency formula, Vehicle A has a higher urgency because its SOC is lower and its charging time is shorter, meaning its charging need is the most urgent.

[0093] Step S102: Acquire the real-time status data of each charging pile, verify the communication status of each charging pile, and review the real-time status data based on the verification result;

[0094] Among them, the real-time status data of the charging pile includes not only power data, charging pile interface temperature data and efficiency value, but also current data and voltage data. The accuracy of the data directly affects the decision-making of energy scheduling. Communication failure or data anomaly may lead to incorrect energy allocation. Therefore, the authenticity and integrity of the data need to be verified.

[0095] In one of the embodiments of the present application, a dual-channel redundant communication mechanism (such as CAN bus + 4G module) can be adopted to determine whether the charging pile is online through heartbeat detection, and the charging pile whose communication interruption exceeds the set threshold (such as 3 sampling cycles) is marked as an abnormal state; the power data is checked for boundaries, and if the power exceeds the rated value by ±15%, the data review mechanism is triggered; PTP (Precision Time Protocol) is used to align data timestamps to ensure synchronization of various data sources.

[0096] Specifically, the data review step can use sliding average filtering to process time series data such as temperature to reduce short-term noise interference, and ensure data consistency by cross-comparing power, current, voltage and other data to reduce misjudgments caused by data acquisition delays or sudden errors.

[0097] Step S103, calculating the charging pile power margin of each charging pile based on the real-time status data after data review;

[0098] In the embodiment of the present application, the power margin ΔP of the charging pile avail It refers to the remaining power that can be provided at present, which is affected by many factors, especially temperature and current load. Specifically, the calculation formula is:

[0099] ΔP avail =P rated ×(1-C temp )-P current ;

[0100] Among them, P rated is the rated power of the charging pile, that is, the maximum power that the charging pile can provide under ideal conditions; C temp P is the temperature derating coefficient, which indicates the power output discount of the charging pile due to excessive temperature. This coefficient can be determined by looking up the table. For example, when the charging pile temperature is 55°C, the derating is 10%; when the temperature is 60°C, the derating is 20%; P current The current load power of the charging pile, that is, the power currently being output by the charging pile.

[0101] It's important to note that power margin calculation allows for an accurate assessment of the power availability of each charging station under varying environmental conditions, preventing failure or overheating due to overload. By factoring in temperature, the safety of charging stations is ensured in actual operation, preventing overload in high-temperature conditions and extending their lifespan.

[0102] Step S104: Calculate the adaptation weight between each charging pile and the vehicle based on the charging pile power margin and the vehicle charging urgency, and construct a charging pile-vehicle adaptation matrix;

[0103] In some embodiments, the adaptation weight between each charging pile and the vehicle can be calculated based on the power margin of each charging pile and the charging urgency of each vehicle. The specific calculation formula is as follows:

[0104] Adaptation weight = vehicle charging urgency × charging pile power margin × comprehensive compatibility factor;

[0105] The comprehensive compatibility factor can be determined based on factors such as the interface type and voltage matching between the charging pile and the vehicle. For example, a charging pile that supports 800V high-voltage fast charging has a higher compatibility factor for vehicles on high-voltage platforms. The compatibility factor can be set to 1.2 for high-voltage vehicles, 0.8 for low-voltage vehicles, and 1 for vehicles with a complete voltage and protocol match.

[0106] It is understandable that by introducing a comprehensive compatibility factor, charging piles and vehicles can be matched more accurately, improving charging efficiency and safety.

[0107] Furthermore, the calculated adaptation weights can be used to construct a charging pile-vehicle adaptation matrix. The adaptation matrix is ​​the basis for determining how to allocate vehicles to various charging piles. Each element in the adaptation matrix represents the adaptation weight between a charging pile and a vehicle.

[0108] Specifically, the rows of the adaptation matrix M represent charging piles, the columns represent vehicles, and each element represents the adaptation weight between the charging pile and the vehicle, for example:

[0109]

[0110] Among them, the first element W(1, 1) in the first row represents the adaptation weight between charging pile 1 and vehicle 1, and the second element W(2, 2) in the second row represents the adaptation weight between charging pile 2 and vehicle 2.

[0111] It should be noted that the adaptation matrix M directly determines how vehicles are assigned to various charging piles. In subsequent steps, an optimization algorithm is used based on this matrix to calculate the optimal charging pile-vehicle matching solution. By comprehensively considering the power margin of the charging pile and the charging urgency of the vehicle, optimal charging resource allocation is ensured, avoiding the allocation of inefficient charging piles to high-urgency vehicles and ensuring efficient charging resource utilization. At the same time, the matching weights in the adaptation matrix can be adjusted in real time based on actual conditions (such as changes in vehicle charging urgency or charging pile power), dynamically optimizing energy management.

[0112] Step S105: Calculate the power allocation strategy based on the charging pile-vehicle adaptation matrix and send it to each vehicle terminal;

[0113] The power allocation strategy includes the charging station to which each vehicle should be assigned and the maximum charging power allocated to each charging station. Based on the constructed adaptation matrix, the optimal matching solution is solved to optimize the global charging power distribution. The goal is to maximize the system's matching weight, ensuring that high-urgency vehicles are matched with charging stations with higher power margins.

[0114] Specifically, the matching cost of each charging pile for different vehicles can be calculated based on the adaptation matrix weight, and the minimum weight match can be found through row and column reduction to ensure the optimal power allocation plan. The power allocation strategy is generated and pushed to the vehicle side. The vehicle side can then connect to the corresponding charging pile for charging according to the identification information.

[0115] It should be noted that when allocating power, the charging power should be reasonably allocated according to the power margin of the charging pile and the charging needs of the vehicle to ensure that the power of the charging pile does not exceed its maximum power output capacity, while trying to meet the charging needs of all vehicles.

[0116] Step S106, calculating a safety limit value based on the real-time status data of each charging pile, and adjusting the actual allocated power of the power allocation strategy based on the safety limit value;

[0117] During operation, charging piles must strictly adhere to safety limits to prevent equipment overload, overheating, or failures caused by abnormal parameters such as voltage and current. Therefore, the system needs to perform safety limit detection on the power allocation strategy. That is, before allocating power to the charging piles, it must ensure that the operating status of each charging pile does not exceed its safety limit.

[0118] In some embodiments, safety limits include charging pile interface temperature safety limits, power safety limits, current safety limits, and voltage safety limits. The system adjusts the power allocation strategy for each charging pile based on these safety limits. If a charging pile experiences temperature exceeding the limit, current overload, voltage anomaly, or power overload, power output needs to be adjusted to prevent damage to the equipment and maintain smooth system operation.

[0119] Step S107: Determine whether the actual allocated power of each charging pile meets the vehicle charging demand information of the corresponding vehicle based on the adjusted power allocation strategy; if not, jump to step S108; if so, continue to execute step S107 for the next charging pile;

[0120] Step S108, calculating the power to be transferred from the charging pile and generating a load transfer strategy;

[0121] Specifically, when judging whether the actual allocated power meets the vehicle charging needs, the current load power of the charging pile must also be considered. That is, the actual allocated power needs to be able to support both the current load power and the vehicle charging needs. If the power adjustment causes the power of some charging piles to be unable to meet the vehicle charging needs, the power to be migrated required by the charging piles is calculated, and the target migration object is selected from the charging piles with a larger power margin to generate a load migration strategy.

[0122] It should be noted that the goal of load shifting is to balance the power between charging piles to ensure that all vehicles can complete charging on time. For example, some charging piles can reduce their power output, and other charging piles will supplement this reduced power to ensure that vehicles with urgent needs can be charged.

[0123] For example, if the allocated power of charging pile 2 is insufficient to meet the needs of vehicle 2, the system can transfer part of the power from charging pile 3 to charging pile 2 to ensure that the charging needs of vehicle 2 are met.

[0124] Step S109: Receive a vehicle connection completion signal from each charging pile, adjust the actual allocated power of each charging pile according to the adjusted power allocation strategy, and adjust the bus voltage through the energy storage device based on the load migration strategy to obtain corresponding execution feedback results;

[0125] Among them, the power allocation strategy specifies the actual allocated power of each charging pile, and the load migration strategy determines how to migrate power between charging piles to ensure that charging demand is balanced.

[0126] Specifically, after the vehicle is connected to the charging pile, the charging pile will adjust the output power of each charging pile according to the power allocation strategy. During the load migration process, voltage regulation is required through energy storage devices. The energy storage device can balance the power migration across the charging piles by adjusting the bus voltage. For example, when a charging pile is overloaded, the energy storage device can transfer excess power to other charging piles by adjusting the bus voltage to balance the load; when a charging pile has insufficient power (for example, due to temperature limit derating), the energy storage device needs to release electricity and increase the bus voltage to support the charging pile load.

[0127] In addition, the status of each charging pile and energy storage device will be fed back to the central control system in real time. The execution feedback results include data such as the actual output power of the charging pile and the voltage regulation effect. The system can evaluate the effectiveness of the current scheduling strategy through the feedback results.

[0128] Step S110 dynamically optimizes and adjusts the power allocation strategy based on the execution feedback results, and identifies inefficient charging piles for power compensation. The execution feedback results provide the system with key information about the actual operating status of the charging piles. Based on this feedback, the system needs to dynamically optimize and adjust the power allocation strategy and identify inefficient charging piles for power compensation.

[0129] Specifically, based on feedback, the system can dynamically adjust charging pile power margins, charging urgency, and compatibility factors. For example, if the system detects that a charging pile is limiting its power output due to overheating, it may need to adjust the allocation of other charging piles based on its actual power needs, or increase supplemental power to that charging pile. Simultaneously, the weights in the adaptation matrix can be adjusted based on the real-time status of the charging piles and vehicles, for example, increasing the weight of inefficient charging piles to enable them to restore charging capacity more quickly. Furthermore, by monitoring the operating efficiency of each charging pile, the system can identify inefficient charging piles whose power output falls short of expectations. If the actual power is significantly lower than expected, it may be that the charging pile is operating inefficiently. Dynamic adjustments can be made to the resources of other charging piles to compensate for these shortcomings. For example, if the efficiency of a charging pile is below 80%, the power allocation to that pile can be increased to ensure that charging can be completed. However, it is important to note that the compensated power value must not exceed the charging pile's power safety limit.

[0130] In the above implementation, by comprehensively considering the power availability of the charging pile and the charging urgency of the vehicle, a charging pile-vehicle adaptation matrix is ​​constructed, and energy scheduling is performed based on the matrix. Through dynamic power allocation strategy and load migration strategy, the allocation of charging pile resources can be effectively optimized, so that the system can flexibly and efficiently respond to charging needs under different battery and charging environment conditions, and ensure the smooth progress of charging tasks; finally, the system dynamically optimizes according to the execution feedback results, identifies and compensates inefficient charging piles, and ensures that the charging pile energy management system can allocate resources efficiently and flexibly, thereby improving the energy utilization of the charging piles and optimizing the user experience.

[0131] Reference Figure 2 As an implementation of step S104, the step of calculating the adaptation weight between each charging pile and the vehicle according to the charging pile power margin and the vehicle charging urgency includes:

[0132] Step S201: Obtain and match the charging interface type and communication protocol type of each charging pile and vehicle to obtain interface matching status and communication protocol matching status;

[0133] Whether the interface type and communication protocol between the charging pile and the vehicle match directly determines whether they can communicate properly and charge. Since different electric vehicles and charging piles use different standard interfaces and protocols, interface and protocol matching are prerequisites for ensuring a smooth charging process. Specifically, interface types such as CCS (Combined Charging System), CHAdeMO, Type 1, and Type 2 determine whether the charging pile and vehicle can connect directly. For example, if the charging pile supports the CCS2 interface and the vehicle also supports CCS2, the interface match is successful and a match value of 1 is returned; if it does not, a lower match value is returned. Furthermore, communication protocols such as OCPP (Open Charging Protocol) and ISO15118 are responsible for data exchange and control information transmission between the charging pile and the vehicle. For example, if the charging pile supports the ISO 15118 protocol and the vehicle also supports it, the protocol match is successful and a match value of 1 is returned; if other protocols are supported, a match value of 0.8 or lower is returned.

[0134] Step S202: Obtain the voltage matching status of each charging pile and the vehicle;

[0135] Among them, the voltage matching between the charging pile and the vehicle is crucial for power transmission during the charging process. Improper voltage matching may lead to reduced charging efficiency or even damage the battery. Therefore, in the matching process between the charging pile and the vehicle, whether the voltage is adapted is an important factor. Specifically, charging piles usually support a specific voltage range (such as 400V and 800V), while different electric vehicles support different voltage platforms. If the voltage ranges of the charging pile and the vehicle are completely matched (such as both are 800V systems), the voltage matching factor is 1; if the voltage is not completely matched, such as the charging pile supports 800V, but the vehicle only supports 400V, the voltage matching factor can be set to 0.8 or lower, indicating that the match is not completely ideal.

[0136] Step S203: Based on a preset compatibility score mapping table, determine the corresponding interface type compatibility factor according to the interface matching situation, determine the corresponding voltage matching compatibility factor according to the voltage matching situation, and determine the corresponding communication protocol compatibility factor according to the communication protocol matching situation;

[0137] Among them, according to the interface type, communication protocol and voltage matching, a preset compatibility score mapping table is used to evaluate the compatibility of each charging pile and the vehicle. By comprehensively considering these three factors, a comprehensive compatibility factor can be calculated to describe the degree of matching between the charging pile and the vehicle. Specifically, according to the interface matching (such as CCS2 to CCS2), the compatibility factor is calculated through the mapping table. If it is fully matched, the compatibility factor is 1. If it does not match, it is reduced according to the standard mapping table. According to the voltage matching, the preset mapping table is used to calculate the compatibility factor. If it is fully matched, 1 is returned, and if it is partially matched, 0.8 or lower is returned. According to the communication protocol matching, the compatibility factor is calculated through the preset mapping table. If the charging pile and the vehicle use the same protocol, 1 is returned, otherwise a corresponding lower value is returned according to the specific situation.

[0138] Step S204: Calculate the comprehensive compatibility factor between the charging pile and the vehicle based on the interface type compatibility factor, the voltage matching compatibility factor, and the communication protocol compatibility factor;

[0139] The overall compatibility factor is calculated by comprehensively considering the interface, protocol, and voltage matching between the charging pile and the vehicle. This factor is used to quantify the degree of matching between the charging pile and the vehicle and is used in the subsequent adaptation weight calculation. Specifically, the interface type compatibility factor, voltage matching compatibility factor, and communication protocol compatibility factor are multiplied together to obtain the overall compatibility factor. If the interface, communication protocol, and voltage are all fully matched, the overall compatibility factor is 1. If any of these factors are mismatched, the overall compatibility factor will be reduced accordingly.

[0140] In step S205, the adaptation weight between each charging pile and the vehicle is calculated based on the charging pile power margin, the vehicle's charging urgency, and the comprehensive compatibility factor. The adaptation weight is a measure of the matching between the charging pile and the vehicle. By comprehensively considering the charging pile power margin, the vehicle's charging urgency, and the compatibility factor, the final adaptation weight is calculated and used to determine the allocation of charging resources. The specific calculation formula is: Adaptation Weight = Vehicle Charging Urgency × Charging Pile Power Margin × Comprehensive Compatibility Factor.

[0141] In the above embodiment, the adaptation weight between each charging pile and the vehicle is comprehensively calculated based on the interface type, communication protocol and voltage matching between the charging pile and the vehicle, so that charging resources are preferentially allocated to charging piles and vehicles with high matching degrees based on power margin and charging urgency, thereby achieving optimal allocation of charging resources, improving charging efficiency and ensuring an efficient and smooth charging process.

[0142] Reference Figure 3 As an implementation of step S105, the step of calculating the power allocation strategy based on the charging pile-vehicle adaptation matrix includes:

[0143] Step S301, converting the charging pile-vehicle adaptation matrix into a matching cost matrix; wherein, the adaptation matrix between the charging pile and the vehicle includes the adaptation weight between the charging pile and the vehicle, and converting the adaptation matrix into a matching cost matrix. In the matching cost matrix, the smaller the value, the better the matching effect, and the larger the adaptation weight, the lower the matching cost.

[0144] Specifically, the matching cost matrix C(j, i) is:

[0145]

[0146] In the above formula, M(j,i) is the adaptation weight in the adaptation matrix, M max and M min are the maximum and minimum weights in the adaptation matrix, respectively. This formula converts the weight into a standardized cost value, making it easier to find the matching solution with the minimum cost.

[0147] For example, it is assumed that the charging pile-vehicle adaptation matrix is:

[0148]

[0149] Among them, M max =0.9, M min =0.5, the converted matching cost matrix C is:

[0150]

[0151] In step S302, column reduction and row reduction are performed on the matching cost matrix to obtain an adjusted matching cost matrix. Row reduction involves finding the minimum value in each row of the matching cost matrix and subtracting it from each element in that row. Column reduction involves calculating the minimum value in each column of the matching cost matrix and subtracting it from each element in that column. This reduction step reduces computational complexity and ensures that the optimal match can be found more efficiently.

[0152] For example, for the matching cost matrix C:

[0153]

[0154] After column reduction and row reduction, it is adjusted to:

[0155]

[0156] Step S303 searches for matching pairs that minimize the total matching cost within the adjusted matching cost matrix, determines the vehicle that matches each charging station, and obtains the optimal matching result. Optimal matching is achieved by searching for zero elements or minimum cost elements within the adjusted matching cost matrix. The optimal matching goal is to minimize the total matching cost while allocating power between the charging station and the vehicle based on the matching relationship. By determining the matching relationship between each charging station and vehicle, each charging station is appropriately allocated based on the vehicle's urgency and power margin.

[0157] For example, based on the adjusted matching cost matrix above, the system may choose: charging pile 1 matches vehicle 1 (because its adaptation weight is the highest and the matching cost is the lowest), charging pile 2 matches vehicle 3, and charging pile 3 matches vehicle 2.

[0158] Step S304: Based on the optimal matching result, the actual allocated power for each charging pile is determined to obtain a power allocation strategy. The power allocation strategy considers the charging pile's power margin and the vehicle's charging needs, as well as the current load power, to ensure that the output power does not exceed the maximum power capacity of the charging pile and that the vehicle's charging needs are met to the greatest extent possible.

[0159] In the above implementation, the optimal power allocation scheme is calculated based on the adaptation matrix, power margin and charging urgency of the charging pile and the vehicle to ensure efficient allocation of resources between the charging pile and the vehicle, and to ensure that vehicles with high urgency are preferentially allocated to charging piles with large power margins. Dynamic adjustments are made based on the real-time status, thereby achieving efficient, safe and intelligent charging pile energy management.

[0160] Reference Figure 4As an implementation of step S106, the steps of calculating a safety limit value according to the real-time status data of each charging pile and adjusting the actual allocated power of the power allocation strategy based on the safety limit value include:

[0161] Step S401: Preprocess the real-time status data of each charging pile. Data preprocessing is the basis for ensuring the accuracy of subsequent analysis and decision-making. The real-time status data of the charging pile may contain noise, missing data, or inconsistencies. Therefore, it needs to be cleaned, verified, and standardized to ensure that all data meets the requirements of system analysis.

[0162] Step S402 calculates the over-limit derating factor for each charging pile based on the real-time status data after data preprocessing. These over-limit derating factors include temperature, current, and voltage. Specifically, these over-limit derating factors reflect the adjustment of the charging pile's available power under different operating conditions. These over-limit derating factors include how the charging pile's power output is reduced when temperature, current, and voltage exceed their limits. Calculating these derating factors ensures that the charging pile reduces its output under unsafe conditions, preventing damage to the equipment.

[0163] Among them, the temperature over-limit derating coefficient can be calculated based on the charging pile interface temperature T in the real-time status data. port,j When the temperature exceeds the preset over-limit threshold, the calculation is performed. When the temperature is too high, the power output of the charging pile needs to be reduced. For example, the temperature over-limit derating factor can be configured as:

[0164]

[0165] The current over-limit derating factor can be calculated based on the degree of current overload. For example, when the current exceeds 85% of the rated current, derating adjustment needs to begin. The current over-limit derating factor can be configured as:

[0166]

[0167] In the above formula, I phase,j is the current phase current of the charging pile, I rated,j is the rated current of the charging pile, and 0.85 is a preset current over-limit threshold, indicating that when the current exceeds 85% of the rated current, derating adjustment needs to be started. voltage,j Is based on the charging pile voltage V j The specific calculation formula for the power adjustment ratio when the grid rated voltage exceeds ±5% is:

[0168]

[0169] In the above formula, V nom is the rated voltage of the grid, Vj is the charging pile voltage.

[0170] Step S403, calculating the safety power limit corresponding to each charging pile according to the over-limit derating coefficient;

[0171] The safe power limit is the maximum available power of each charging pile under a specific over-limit condition. It ensures that the charging pile will not malfunction due to overload, overheating, or voltage fluctuations during operation. By calculating the safe power limit, the power output can be dynamically adjusted according to the over-limit derating factor. Specifically, if the temperature, current, or voltage exceeds the limit, the power output of the charging pile will be limited. The calculation formulas are:

[0172] If the temperature exceeds the limit, the safe power limit is: P limit,j =P rated,j ×(1-C temp,j );

[0173] If the current exceeds the limit, the safe power limit is: P limit,j =P rated,j ×(1-C current,j );

[0174] If the voltage exceeds the limit, the safe power limit is: P limit,j =P rated,j ×C voltage,j ;

[0175] In the above formula, P limit,j is the rated power of the charging pile, C temp,j 、C current,j and C voltage,j They are the temperature over-limit derating factor, current over-limit derating factor and voltage over-limit derating factor respectively.

[0176] Step S404: performing an over-limit state detection on each charging pile based on a preset over-limit threshold value to obtain an over-limit state detection result for each charging pile;

[0177] Step S405: Adjust the power allocation for charging piles that are in an over-limit state based on the safe power limit to obtain an adjusted power allocation strategy. Over-limit detection continuously monitors the real-time status of charging piles, and power adjustment is only performed when the limit is exceeded. The real-time status data of each charging pile is compared with preset over-limit thresholds (such as temperature, current, and voltage thresholds). When a charging pile is detected as over-limit, a derating factor is calculated based on the over-limit type (temperature, current, voltage), and the corresponding safe power limit is calculated.

[0178] The specific adjustment formula is:

[0179] P assign,j =min(Passign,j ,P limit,j );

[0180] In the above formula, P limit,j is the safe power limit, P assign,j The actual power allocated to the charging pile ensures that it does not exceed the safe power limit.

[0181] In the above implementation, the real-time status of the charging pile is pre-processed and over-limit detection is performed, and a safe power limit is calculated based on the over-limit derating factor. The power allocation strategy is dynamically adjusted when the charging pile is in an over-limit state to ensure that the charging pile will not be overloaded or overheated due to over-limit conditions such as temperature, current, and voltage, thereby effectively extending the life of the equipment, avoiding failures, and improving the overall safety of the charging system.

[0182] Reference Figure 5 As a further implementation of the charging pile energy management method, it also includes:

[0183] Step S501 records the over-limit detection results for each charging station and accumulates the number of over-limit events for each station. Over-limit conditions (e.g., temperature, current, or voltage) can cause abnormal operation of the equipment, even damaging the battery or affecting the power supply system. Therefore, the system needs to detect the over-limit state of each charging station and record the number of over-limit events to determine whether further action is needed.

[0184] In step S502, energy allocation is frozen for charging piles whose number of over-limit times reaches a preset threshold within a preset time period. Specifically, if the number of over-limit times exceeds the preset threshold within a set time window (such as 24 hours), it is determined to be an abnormal charging pile, the energy allocation authority of the charging pile is frozen, and a freeze mark is set to prevent subsequent power scheduling from allocating charging tasks to the charging pile. If it does not exceed the preset threshold (such as 3 times), it is only recorded and no freezing measures are taken.

[0185] Step S503: adjusting the charging pile-vehicle adaptation matrix according to the frozen charging pile, and updating the power allocation strategy based on the current load state of the frozen charging pile;

[0186] After freezing an abnormal charging pile, the system recalculates the pile-vehicle adaptation weights, removes the frozen pile, and transfers its current load to other piles. By calculating the power margin of the remaining unfrozen piles, it achieves a reasonable power distribution. It should be noted that if some charging piles are overloaded, the system may prioritize the energy storage system to provide power compensation to ensure load balancing.

[0187] Step S504: Send maintenance reminder information to the corresponding maintenance terminal according to the frozen charging pile;

[0188] To quickly repair frozen charging piles, the system needs to send a notification to the maintenance terminal, reminding operators to inspect and repair them. This maintenance reminder may include the charging pile number, location, type of limit violation (current, voltage, temperature, etc.), and the time and number of times the limit violation occurred.

[0189] Step S505, receiving maintenance completion feedback information from the maintenance terminal in real time; specifically, after the maintenance is completed, the system needs to receive maintenance feedback in real time and verify whether the charging pile is repaired successfully. If the maintenance is successful, continue the unfreezing process.

[0190] Step S506: In response to the maintenance completion feedback, the frozen charging pile's energy allocation state is restored and it re-participates in power distribution. After successful maintenance, the frozen state needs to be unfrozen, allowing the charging pile to re-participate in power distribution. The power margin and adaptation weight of the charging pile are recalculated, allowing the restored charging pile to re-participate in scheduling.

[0191] In this implementation, combined with charging pile overload detection, automated management of charging pile resource allocation is achieved. The system automatically freezes allocation permissions when a charging pile exceeds its limit, and ensures the smooth completion of charging tasks through real-time monitoring and dynamic adjustment of power allocation strategies and adaptive matrix weights.

[0192] Reference Figure 6 As an implementation of step S503, the steps of adjusting the charging pile-vehicle adaptation matrix according to the frozen charging pile and updating the power allocation strategy based on the current load state of the frozen charging pile include:

[0193] Step S601, determining a frozen charging pile list based on the frozen charging piles; wherein, when a charging pile is frozen by the system due to multiple over-limits, a frozen charging pile list needs to be generated for subsequent power allocation adjustment and adaptation matrix update. The frozen charging pile list contains the numbers of all frozen charging piles.

[0194] Step S602: Obtain the current load status of each frozen charging pile in the charging pile freezing list, and calculate the load requirements to be allocated for all frozen charging piles; wherein, the total load requirement to be allocated is calculated based on the current load status of each frozen charging pile, so as to perform load migration after freezing.

[0195] In step S603, the target charging station is determined based on the load demand to be allocated, and a load migration strategy is derived. The load of the frozen charging station must be migrated to an unfrozen charging station to ensure continued charging. The migration strategy considers the target charging station's power margin and current load to ensure load balancing. Specifically, charging stations with sufficient power margin are selected from the unfrozen charging stations as the migration target. The load migration strategy records how the load of each frozen charging station is migrated to the target charging station.

[0196] In step S604, all frozen charging piles are removed from the charging pile-vehicle adaptation matrix and the matrix is ​​adjusted based on the load migration strategy. Specifically, frozen charging piles can no longer provide charging services to vehicles. Therefore, the relevant rows and columns of these charging piles must be removed from the charging pile-vehicle adaptation matrix, so that all frozen charging piles no longer participate in subsequent power allocation. Simultaneously, the load required by the target charging pile is determined based on the load migration strategy, and the corresponding power margin is adjusted to facilitate the calculation of the corresponding adaptation weight.

[0197] In step S605, the power allocation strategy is recalculated based on the adjusted charging pile-vehicle adaptation matrix to obtain an updated power allocation strategy. The frozen charging piles are excluded from the power allocation, and the power margin of the remaining charging piles is recalculated to ensure that the vehicle's charging needs are reasonably met. By recalculating the power allocation strategy, the system can optimize resource utilization and avoid power waste.

[0198] In this implementation, after freezing the charging piles, the current load is properly handled to ensure that charging tasks are not affected. Dynamic adjustments to the charging pile-vehicle adaptation matrix and power allocation strategy ensure efficient allocation of charging pile resources and maximize charging pile utilization. This mechanism enhances the robustness and flexibility of charging stations, ensuring stable and efficient operation of the charging network.

[0199] The embodiment of the present application also discloses a charging pile energy management system.

[0200] A charging pile energy management system, the energy management system comprising:

[0201] The charging demand processing module is used to receive vehicle charging demand information from multiple vehicle terminals and evaluate the corresponding vehicle charging urgency weight; the communication verification processing module is used to obtain the real-time status data of each charging pile, verify the communication status of each charging pile, and review the real-time status data according to the verification result; the power margin calculation module is used to calculate the charging pile power margin of each charging pile based on the real-time status data after data review; the adaptation matrix construction module is used to calculate the adaptation weight between each charging pile and the vehicle according to the charging pile power margin and the vehicle charging urgency, and construct the charging pile-vehicle adaptation matrix; the power distribution module is used to calculate the power distribution strategy based on the charging pile-vehicle adaptation matrix and send it to each vehicle terminal; the safety limit processing module is used to calculate the power distribution strategy based on the real-time status data of each charging pile According to the calculated safety limit, the actual allocated power of the power allocation strategy is adjusted based on the safety limit; the judgment module is used to judge whether the actual allocated power of each charging pile meets the vehicle charging demand information of the corresponding vehicle according to the adjusted power allocation strategy; if not, the first judgment result is output; the load migration module is used to calculate the amount of power to be migrated of the charging pile in response to the first judgment result, and generate a load migration strategy; the energy control module is used to receive the vehicle connection completion signal from each charging pile, adjust the actual allocated power of each charging pile according to the adjusted power allocation strategy, and adjust the bus voltage through the energy storage device based on the load migration strategy to obtain the corresponding execution feedback result; the feedback optimization module is used to dynamically optimize and adjust the power allocation strategy according to the execution feedback result, and identify inefficient charging piles for power compensation.

[0202] In the above implementation, by comprehensively considering the power availability of charging piles and the charging urgency of vehicles, optimal scheduling and dynamic balance of charging resources are achieved, which significantly improves charging efficiency and system safety, reduces the risk of equipment overload, and enhances the stability and economic benefits of the entire charging network.

[0203] As a further implementation of the charging pile energy management system, it also includes:

[0204] An over-limit recording module is used to record the over-limit status detection results of each charging pile and accumulate the number of over-limit times for each charging pile; an energy distribution freezing module is used to freeze the energy distribution of a charging pile whose over-limit times reach a preset threshold within a preset time period; a power distribution adjustment module is used to adjust the charging pile-vehicle adaptation matrix according to the frozen charging pile, and update the power distribution strategy based on the current load status of the frozen charging pile; a maintenance reminder module is used to send maintenance reminder information to the corresponding maintenance terminal according to the frozen charging pile; a maintenance feedback module is used to receive maintenance completion feedback information from the maintenance terminal in real time; an energy distribution recovery module is used to respond to the maintenance completion feedback information, restore the energy distribution status of the frozen charging pile and re-participate in power distribution.

[0205] The charging pile energy management system of the embodiment of the present application can implement any of the above-mentioned charging pile energy management methods, and the specific working process of each module in the charging pile energy management system can refer to the corresponding process in the above-mentioned method embodiment.

[0206] In the several embodiments provided in this application, it should be understood that the provided methods and systems can be implemented in other ways. For example, the system embodiments described above are merely illustrative; for example, the division of a module is merely a logical functional division, and in actual implementation, other division methods may be used, such as combining or integrating multiple modules into another system, or ignoring or not implementing certain features.

[0207] The embodiment of the present application also discloses a computer device.

[0208] A computer device includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the above-mentioned charging pile energy management method is implemented.

[0209] The embodiment of the present application also discloses a computer-readable storage medium.

[0210] A computer-readable storage medium stores a computer program that can be loaded by a processor and executed by any one of the above-mentioned charging pile energy management methods.

[0211] Among them, computer-readable storage media can be any tangible medium that contains or stores a program that can be used by or in combination with an instruction execution system, apparatus or device; the program code contained on the computer-readable medium can be transmitted using any appropriate medium, including but not limited to wireless, wire, optical cable, RF, etc., or any suitable combination of the above.

[0212] It should be noted that, in the above embodiments, the description of each embodiment has different emphases. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0213] The above are all preferred embodiments of the present application and are not intended to limit the scope of protection of this application. Unless otherwise stated, any feature disclosed in this specification (including the abstract and drawings) may be replaced by other equivalent or similar features. In other words, unless otherwise stated, each feature is merely an example of a series of equivalent or similar features.

Claims

1. A charging pile energy management method, characterized in that: The energy management method comprises: Receive vehicle charging demand information from multiple vehicle terminals and evaluate the corresponding vehicle charging urgency weights; Acquire the real-time status data of each charging pile, verify the communication status of each charging pile, and review the real-time status data based on the verification results; Calculating the charging pile power margin of each charging pile based on the real-time status data after data review; Calculate the adaptation weight between each charging pile and the vehicle based on the charging pile power margin and the vehicle charging urgency, and construct a charging pile-vehicle adaptation matrix; Based on the charging pile-vehicle adaptation matrix, a power allocation strategy is calculated and sent to each vehicle terminal; Calculating a safety limit value according to the real-time status data of each charging pile, and adjusting the actual allocated power of the power allocation strategy based on the safety limit value; Determine whether the actual allocated power of each charging pile meets the vehicle charging demand information of the corresponding vehicle according to the adjusted power allocation strategy; if not, calculate the amount of power to be migrated from the charging pile and generate a load migration strategy; Receiving a vehicle connection completion signal from each charging pile, adjusting the actual allocated power of each charging pile according to the adjusted power allocation strategy, and adjusting the bus voltage through the energy storage device based on the load migration strategy to obtain corresponding execution feedback results; The power allocation strategy is dynamically optimized and adjusted according to the execution feedback result, and inefficient charging piles are identified for power compensation.

2. A charging pile energy management method according to claim 1, characterized in that: The step of calculating the adaptation weight between each charging pile and the vehicle according to the charging pile power margin and the vehicle charging urgency includes: Obtain the charging interface type and communication protocol type of each charging pile and vehicle and match them to obtain the interface matching status and communication protocol matching status; Obtain the voltage matching status of each charging pile and vehicle; Based on a preset compatibility score mapping table, determining a corresponding interface type compatibility factor according to the interface matching situation, determining a corresponding voltage matching compatibility factor according to the voltage matching situation, and determining a corresponding communication protocol compatibility factor according to the communication protocol matching situation; Calculating a comprehensive compatibility factor between the charging pile and the vehicle based on the interface type compatibility factor, the voltage matching compatibility factor, and the communication protocol compatibility factor; The adaptation weight between each charging pile and the vehicle is calculated based on the power margin of the charging pile, the urgency of vehicle charging and the comprehensive compatibility factor.

3. A charging pile energy management method according to claim 1, characterized in that: The steps of calculating the power allocation strategy based on the charging pile-vehicle adaptation matrix include: Converting the charging pile-vehicle adaptation matrix into a matching cost matrix; Performing column reduction and row reduction based on the matching cost matrix to obtain an adjusted matching cost matrix; Find the matching pair that minimizes the total matching cost in the adjusted matching cost matrix, determine the vehicle that matches each charging pile, and obtain the optimal matching result; Based on the optimal matching result, the actual allocated power of each charging pile is determined to obtain a power allocation strategy.

4. A charging pile energy management method according to claim 3, characterized in that: The steps of calculating a safety limit value according to the real-time status data of each charging pile and adjusting the actual allocated power of the power allocation strategy based on the safety limit value include: Perform data preprocessing on the real-time status data of each charging pile; Calculate the over-limit derating coefficient of each charging pile based on the real-time status data after data preprocessing; the over-limit derating coefficient includes the temperature over-limit derating coefficient, the current over-limit derating coefficient and the voltage over-limit derating coefficient; Calculate the safe power limit corresponding to each charging pile according to the over-limit derating factor; Performing an over-limit status detection on each charging pile based on a preset over-limit threshold value to obtain an over-limit status detection result for each charging pile; The power distribution of the charging pile in the over-limit state is adjusted according to the safety power limit to obtain an adjusted power distribution strategy.

5. A charging pile energy management method according to claim 4, characterized in that: The charging pile energy management method further includes: Recording the over-limit status detection result of each charging pile, and accumulating the number of over-limit times for each charging pile; Freeze the energy allocation of charging piles that exceed the limit by a preset number of times within a preset time period; Adjusting the charging pile-vehicle adaptation matrix according to the frozen charging pile, and updating the power allocation strategy based on the current load state of the frozen charging pile; Sending maintenance reminder information to the corresponding maintenance terminal according to the frozen charging pile; receiving maintenance completion feedback information from the maintenance terminal in real time; In response to the maintenance completion feedback information, the energy distribution state of the frozen charging pile is restored and the charging pile participates in power distribution again.

6. A charging pile energy management method according to claim 5, characterized in that: The steps of adjusting the charging pile-vehicle adaptation matrix according to the frozen charging pile and updating the power allocation strategy based on the current load state of the frozen charging pile include: Determine the charging pile freezing list based on the frozen charging piles; Obtain the current load status of each frozen charging pile in the charging pile freezing list, and calculate the load requirements to be allocated for all frozen charging piles; Determine the target charging pile for migration according to the load demand to be allocated, and obtain a load migration strategy; Removing all frozen matching relationships of charging piles in the charging pile-vehicle adaptation matrix, and adjusting the charging pile-vehicle adaptation matrix based on the load migration strategy; Recalculate based on the adjusted charging pile-vehicle adaptation matrix to obtain an updated power allocation strategy.

7. A charging pile energy management system, characterized in that: The energy management system includes: A charging demand processing module is used to receive vehicle charging demand information from multiple vehicle terminals and evaluate the corresponding vehicle charging urgency weights; A communication verification processing module is used to obtain the real-time status data of each charging pile, verify the communication status of each charging pile, and review the real-time status data according to the verification result; A power margin calculation module, configured to calculate the charging pile power margin of each charging pile based on the real-time status data after data review; An adaptation matrix construction module is used to calculate the adaptation weight between each charging pile and the vehicle according to the charging pile power margin and the vehicle charging urgency, and construct a charging pile-vehicle adaptation matrix; A power distribution module is used to calculate a power distribution strategy based on the charging pile-vehicle adaptation matrix and send it to each vehicle end; A safety limit processing module, configured to calculate a safety limit based on the real-time status data of each charging pile, and adjust the actual allocated power of the power allocation strategy based on the safety limit; a judgment module, configured to judge whether the actual allocated power of each charging pile meets the vehicle charging demand information of the corresponding vehicle according to the adjusted power allocation strategy; if not, output a first judgment result; a load migration module, configured to calculate the amount of power to be migrated of the charging pile and generate a load migration strategy in response to the first judgment result; An energy control module is configured to receive a vehicle connection completion signal from each charging pile, adjust the actual allocated power of each charging pile according to the adjusted power allocation strategy, and adjust the bus voltage through the energy storage device based on the load migration strategy to obtain corresponding execution feedback results; A feedback optimization module is used to dynamically optimize and adjust the power allocation strategy according to the execution feedback results, and identify inefficient charging piles for power compensation.

8. A charging pile energy management system according to claim 7, characterized in that: The charging pile energy management system also includes: The over-limit recording module is used to record the over-limit status detection results of each charging pile and accumulate the number of over-limit times for each charging pile; Energy distribution freezing module, used to freeze energy distribution of charging piles whose number of over-limit times reaches a preset number of thresholds within a preset time period; A power allocation adjustment module, configured to adjust the charging pile-vehicle adaptation matrix according to the frozen charging pile, and update the power allocation strategy based on the current load state of the frozen charging pile; A maintenance reminder module, configured to send maintenance reminder information to a corresponding maintenance terminal according to the frozen charging pile; A maintenance feedback module is used to receive maintenance completion feedback information from the maintenance terminal in real time; The energy distribution recovery module is used to restore the energy distribution state of the frozen charging pile and re-participate in power distribution in response to the maintenance completion feedback information.

9. A computer device, characterized in that: The method comprises a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the method according to any one of claims 1 to 6 when executing the program.

10. A computer-readable storage medium, characterized in that: A computer program is stored which can be loaded by a processor and execute the method according to any one of claims 1 to 6.

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