Charging pile energy management method, system, equipment and medium

Abstract

The invention relates to a charging pile energy management method, system and device and a medium, and belongs to the technical field of charging pile energy management, and the energy management method comprises the steps: receiving a vehicle charging demand, calculating the charging urgency degree, obtaining the real-time state of a charging pile, calculating the power margin, and constructing a charging pile-vehicle adaptation matrix; and then, the system calculates a power distribution strategy and sends the strategy to the vehicle end to ensure reasonable matching of charging resources. The system calculates the safety limit value in real time and adjusts the actual distribution power to ensure the safe operation of the charging pile. And if the power of a certain charging pile is insufficient, calculating a to-be-migrated power amount and generating a load migration strategy, and adjusting the bus voltage by utilizing the energy storage equipment to carry out cross-pile power migration. After charging is started, the system monitors and executes feedback, dynamically optimizes a power distribution strategy, and identifies a low-efficiency charging pile for power compensation. The charging pile resource allocation can be optimized, the overall charging efficiency is improved, and the user experience is improved.

Description

Technical Field

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

[0002] With the increasing global attention to environmental protection and sustainable development, electric vehicles (EVs), as representatives of green transportation, have gained more and more favor from consumers. Especially in reducing carbon emissions, alleviating energy crises, and promoting energy transformation, electric vehicles play an important role in future transportation. According to the report of the International Energy Agency (IEA), the number of electric vehicles continues to grow globally, and electric vehicles have become an important part of the global energy transformation.

[0003] However, the widespread application of electric vehicles has brought a large demand for charging pile infrastructure. As a bridge between electric vehicles and the power grid, the construction and management of charging piles have become increasingly important. To support the increasing charging demand of electric vehicles, the construction of charging piles not only needs to focus on the expansion of quantity but also must pay attention to the energy management efficiency of charging piles and the operation safety of the system. With the increase in the number of electric vehicle charging piles, how to reasonably allocate and schedule charging pile resources, especially how to dynamically manage the energy distribution of charging piles, has become an urgent problem to be solved in the current technical field.

[0004] Currently, most charging pile management systems rely on static power distribution strategies, usually using simple polling or distribution methods based on fixed time windows. This distribution method does not fully consider the differentiated needs between charging piles and vehicles. Especially in the case of unbalanced charging demands, 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 demands of some vehicles not to be met in time, reducing energy utilization efficiency and user experience. Summary of the Invention

[0005] To optimize the energy utilization efficiency of charging piles and user experience, this application provides a charging pile energy management method, system, device, and medium.

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

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

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

[0009] Obtain the real-time status data of each charging pile, verify the communication status of each charging pile, and perform data review on the real-time status data according to the verification result;

[0010] Calculate the charging pile power margin of each charging pile according to the real-time status data after data review;

[0011] 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;

[0012] Based on the charging pile-vehicle adaptation matrix, calculate the power distribution strategy and send it to each vehicle terminal;

[0013] Calculate the safety limit according to the real-time status data of each charging pile, and adjust the actual allocated power of the power distribution strategy based on the safety limit;

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

[0015] Receive the vehicle connection completion signal from each charging pile, adjust the actual allocated power of each charging pile according to the adjusted power distribution strategy, and perform bus voltage regulation through the energy storage device based on the load migration strategy to obtain the corresponding execution feedback result;

[0016] Dynamically optimize and adjust the power distribution strategy according to the execution feedback result, and identify inefficient charging piles for power compensation.

[0017] By adopting the above technical solutions, comprehensively considering the power availability of the charging pile and the vehicle charging urgency, constructing a charging pile-vehicle adaptation matrix, and performing energy scheduling based on this matrix, through the dynamic power distribution strategy and the load migration strategy, it is possible to effectively optimize the allocation of charging pile resources, enable the system to flexibly and efficiently respond to the charging demands under different battery and charging environment conditions, and ensure the smooth progress of the charging task; finally, the system performs dynamic optimization according to the execution feedback result, identifies and compensates inefficient charging piles, ensures that the charging pile energy management system can efficiently and flexibly allocate resources, improves the energy utilization rate of the charging pile while 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 between each charging pile and the vehicle and perform matching to obtain the interface matching situation and the communication protocol matching situation;

[0020] Obtain the voltage matching situation between each charging pile and the vehicle;

[0021] 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;

[0022] Calculate the comprehensive compatibility factor between the charging pile and the vehicle according to the interface type compatibility factor, voltage matching compatibility factor, and communication protocol compatibility factor;

[0023] Calculate the adaptation weight between each charging pile and the vehicle according to the power margin of the charging pile, the charging urgency of the vehicle, and the comprehensive compatibility factor.

[0024] By adopting the above technical solution, according to the interface type, communication protocol, and voltage matching situation between the charging pile and the vehicle, comprehensively calculate the adaptation weight between each charging pile and the vehicle, so as to preferentially allocate charging resources to the charging pile and vehicle with high matching degree on the basis of the power margin and charging urgency, thereby realizing the optimal allocation of charging resources, improving the charging efficiency, and ensuring an efficient and stable charging process.

[0025] Optionally, the steps of calculating the power distribution strategy based on the charging pile-vehicle adaptation matrix include:

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

[0027] Based on the matching cost matrix, perform column reduction and row reduction respectively to obtain an adjusted matching cost matrix;

[0028] Find the matching pairs with the minimum total matching cost in the adjusted matching cost matrix, determine the vehicle matched by each charging pile, and obtain the optimal matching result;

[0029] Based on the optimal matching result, determine the actual allocated power of each charging pile to obtain the power distribution strategy.

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

[0031] Optionally, the step of calculating the safety limit value according to the real-time status data of each charging pile and adjusting the actual allocated power of the power distribution 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 overlimit derating coefficient of each charging pile according to the real-time status data after data preprocessing; the overlimit derating coefficient includes the temperature overlimit derating coefficient, the current overlimit derating coefficient, and the voltage overlimit derating coefficient;

[0034] Calculate the safety power limit value corresponding to each charging pile according to the overlimit derating coefficient;

[0035] Perform overlimit status detection on each charging pile respectively based on a preset overlimit threshold to obtain the overlimit status detection result of each charging pile;

[0036] Adjust the power distribution of the charging piles with overlimit status according to the safety power limit value to obtain an adjusted power distribution strategy.

[0037] By adopting the above technical solution, preprocess the real-time status of the charging pile and perform overlimit detection, calculate the safety power limit value according to the overlimit derating coefficient, and dynamically adjust the power distribution strategy under the overlimit status of the charging pile to ensure that the charging pile will not be overloaded or overheated due to overlimit 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] Record the overlimit status detection results of each charging pile and accumulate the overlimit times of each charging pile;

[0040] Freeze the energy distribution of the charging piles whose overlimit times reach the preset number threshold within the preset time period;

[0041] Adjust the charging pile-vehicle adaptation matrix according to the frozen charging piles, and update the power distribution strategy based on the current load status of the frozen charging piles;

[0042] Send a maintenance prompt message to the corresponding maintenance terminal according to the frozen charging pile;

[0043] Receive the maintenance completion feedback information of the maintenance terminal in real time;

[0044] In response to the maintenance completion feedback information, restore the energy distribution status of the frozen charging piles and let them participate in power distribution again.

[0045] By adopting the above technical solutions and combining with the detection of the over-limit state of charging piles, the automatic management of charging pile resource allocation is realized. The system can automatically freeze the allocation permission when the charging pile is over-limit, and ensure the smooth completion of the charging task by real-time monitoring, dynamically adjusting the power allocation strategy and adapting matrix weights.

[0046] Optionally, the steps of adjusting the charging pile-vehicle adaptation matrix according to the frozen charging piles and updating the power allocation strategy based on the current load status of the frozen charging piles include:

[0047] Determine a charging pile freezing list according to 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 demand to be allocated for all frozen charging piles;

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

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

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

[0052] By adopting the above technical solutions, the current load is properly handled after freezing the charging piles to ensure that the charging task is not affected, and the efficient allocation of charging pile resources is guaranteed by dynamically adjusting the charging pile-vehicle adaptation matrix and power allocation strategy, realizing the maximization of the utilization rate of charging piles. This mechanism enhances the robustness and flexibility of the charging station, ensuring the stable and efficient operation of the charging network.

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

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

[0055] A charging demand processing module, configured to receive vehicle charging demand information from multiple vehicle terminals and evaluate the corresponding vehicle charging urgency weight;

[0056] A communication verification processing module, configured to obtain real-time status data of each charging pile, verify the communication status of each charging pile, and perform data review on 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 according to the real-time status data after data review;

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

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

[0060] A safety limit processing module, which is used to calculate a safety limit according to the real-time status data of each charging pile, and adjust the actual distributed power of the power distribution strategy based on the safety limit;

[0061] A judgment module, which is used to respectively judge whether the actual distributed power of each charging pile meets the vehicle charging demand information of the corresponding vehicle according to the adjusted power distribution strategy; if not, output a first judgment result;

[0062] A load transfer module, which is used to respond to the first judgment result, calculate the power amount to be transferred of the charging pile, and generate a load transfer strategy;

[0063] An energy control module, which is used to receive the vehicle connection completion signal from each charging pile, adjust the actual distributed power of each charging pile according to the adjusted power distribution strategy, and perform bus voltage regulation through an energy storage device based on the load transfer strategy to obtain a corresponding execution feedback result;

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

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

[0066] An overlimit record module, which is used to record the overlimit status detection results of each charging pile and accumulate the overlimit times of each charging pile;

[0067] An energy distribution freezing module, which is used to freeze the energy distribution of the charging piles whose overlimit times reach a preset number threshold within a preset time period;

[0068] A power distribution adjustment module, which is used to adjust the charging pile-vehicle adaptation matrix according to the frozen charging piles, and update the power distribution strategy based on the current load status of the frozen charging piles;

[0069] A maintenance prompt module, which is used to send a maintenance prompt message to the corresponding maintenance terminal according to the frozen charging piles;

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

[0071] An energy distribution restoration module, configured to respond to the maintenance completion feedback information, restore the energy distribution status of the frozen charging piles, and re-participate in power distribution.

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

[0073] A computer device includes a memory, a processor, and a computer program stored on the memory. The processor executes the computer program to implement the steps of the method described in the first aspect.

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

[0075] A computer-readable storage medium stores a computer program that can be loaded and executed by a processor to implement 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 power margin of the charging pile and the charging urgency of the vehicle, accurate power distribution and dynamic optimization are achieved, ensuring the efficient use of charging resources and the stable operation of the system. Through communication status verification and data review, the reliability of the charging pile data is improved, and the distributed power is adjusted based on safety limits to avoid overload risks. If the power of the charging pile is insufficient, the system calculates the power to be migrated and generates a load migration strategy, and uses the energy storage device to adjust the bus voltage to achieve cross-pile power distribution, ensuring 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 intelligent level, load balancing ability, and safety of the charging system, is applicable to large-scale charging station management, and helps the efficient operation of new energy infrastructure. Description of the Drawings

[0077] Figure 1 is the first flowchart of the charging pile energy management method according to an embodiment of the present application.

[0078] Figure 2 is the second flowchart of the charging pile energy management method according to an embodiment of the present application.

[0079] Figure 3 is the third flowchart of the charging pile energy management method according to an embodiment of the present application.

[0080] Figure 4 is the fourth flowchart of the charging pile energy management method according to an embodiment of the present application.

[0081] Figure 5It is the fifth process schematic diagram of the charging pile energy management method according to an embodiment of the present application.

[0082] Figure 6 It is the sixth process schematic diagram of the charging pile energy management method according to an embodiment of the present application. Detailed implementation manners

[0083] In order to make the purpose, technical solutions and advantages of the present application clearer, the following further describes the present application in detail with reference to the accompanying Figures 1-6 drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

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

[0085] Referring to Figure 1 , a charging pile energy management method, the energy management method includes:

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

[0087] Among them, the 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; the maximum allowable charging current, that is, the maximum charging current acceptable for each vehicle.

[0088] It should be noted that in the charging management system, the charging demands of different vehicles may vary greatly. For example, some vehicles have a low current SOC and need to be charged quickly, while other vehicles may have a longer charging time window. Therefore, before allocating energy, it is necessary to receive and evaluate the charging demands of vehicles to improve the allocation efficiency of charging resources, ensure that high-urgency vehicles are charged first, and reduce unnecessary charging 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 terminal, including the current battery SOC, the charging deadline set by the user, the maximum allowable charging current of the vehicle, etc. For example, the charging urgency (Urgency) depends on the SOC (State of Charge, battery power) of the vehicle 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 expected charging completion time set by the user, and τ is the time decay factor obtained through training based on historical data.

[0092] For example, assume there are three vehicles. Vehicle A: SOC is 10%, and it needs to be fully charged within 1 hour; Vehicle B: SOC is 50%, and it needs to be fully charged within 4 hours; Vehicle C: SOC is 30%, and it needs to be fully charged within 2 hours. According to the above urgency formula, the urgency of Vehicle A will be higher because its SOC is lower and the charging time is shorter, indicating that its charging demand is the most urgent.

[0093] Step S102: Obtain the real-time status data of each charging pile, verify the communication status of each charging pile, and perform data review on the real-time status data according to the verification results;

[0094] Among them, the real-time status data of the charging pile not only includes power data, charging pile interface temperature data, and efficiency values, but also includes current data and voltage data. The accuracy of the data directly affects the decision-making of energy scheduling. Communication failures or data anomalies may lead to incorrect energy allocation. Therefore, it is necessary to verify the authenticity and integrity of the data.

[0095] In one embodiment of the present application, a dual-channel redundant communication mechanism (such as CAN bus + 4G module) can be adopted. Determine whether the charging pile is online through heartbeat detection, and mark the charging pile with a communication interruption exceeding the set threshold (such as 3 sampling periods) as an abnormal state; perform boundary checking on the power data. If the power exceeds the rated value by ±15%, trigger the data review mechanism; use PTP (Precision Time Protocol) to align the data timestamps to ensure the synchronization of each data source.

[0096] Specifically, the data review step can adopt a moving average filter to process time series data such as temperature to reduce short-term noise interference. Ensure the self-consistency of the data by cross-comparing data such as power, current, and voltage, and reduce misjudgments caused by data acquisition delays or sudden errors.

[0097] Step S103: Calculate the charging pile power margin of each charging pile according to 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 refers to the remaining power that can be provided currently, which is affected by multiple factors, especially temperature and the 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 is the temperature derating coefficient, which represents the discount of the power output of the charging pile due to excessive temperature. This coefficient can be determined by the look-up table method. For example, when the temperature of the charging pile is 55°C, the derating is 10%; when the temperature is 60°C, the derating is 20%; P current is the current load power of the charging pile, that is, the power that the charging pile is currently outputting.

[0101] It should be noted that the power margin calculation enables the accurate assessment of the power availability of each charging pile under different environmental conditions, avoiding the failures or overheating caused by the overloading operation of the charging pile. By introducing the temperature influence factor, the safety of the charging pile during actual operation is ensured, preventing the equipment from overloading under high-temperature conditions and extending the equipment life.

[0102] Step S104, according to the power margin of the charging pile and the charging urgency of the vehicle, calculate the adaptation weight between each charging pile and the vehicle, 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 according to 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] Among them, the comprehensive compatibility factor can be determined according to factors such as the interface type between the charging pile and the vehicle and voltage matching. For example, a charging pile supporting 800V high-voltage fast charging has a higher compatibility factor for vehicles with a high-voltage platform. The compatibility factor for high-voltage models can be set to 1.2, for low-voltage models can be set to 0.8, and for models with completely matched voltage and protocol can be set to 1.

[0106] It can be understood that by introducing the comprehensive compatibility factor, the charging pile and the vehicle can be more accurately matched, improving the charging efficiency and safety.

[0107] Furthermore, through the calculated adaptation weight, a charging pile-vehicle adaptation matrix can be constructed. The adaptation matrix is the basis for determining how to allocate vehicles to each charging pile. Each element in the adaptation matrix represents the adaptation weight between a certain charging pile and a certain vehicle.

[0108] Specifically, the rows of the adaptation matrix M represent the charging piles, the columns represent the 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 to allocate vehicles to each charging pile. In the subsequent steps, based on this matrix, an optimization algorithm is used to calculate the optimal charging pile-vehicle matching scheme. By comprehensively considering the power margin of the charging pile and the charging urgency of the vehicle, the optimal allocation of charging resources is ensured, avoiding the allocation of inefficient charging piles to high-urgency vehicles and ensuring the efficient utilization of charging resources. At the same time, according to the actual situation (such as changes in the charging urgency of vehicles or changes in the power of charging piles), the matching weights in the adaptation matrix can be adjusted in real time to dynamically optimize energy management.

[0112] Step S105: Based on the charging pile-vehicle adaptation matrix, calculate the power distribution strategy and send it to each vehicle terminal;

[0113] Among them, the power distribution strategy includes the charging pile to which each vehicle should be allocated and the maximum charging power allocated to each charging pile. By solving the optimal matching scheme based on the constructed adaptation matrix, the global charging power distribution is optimized, with the goal of maximizing the matching weight of the system and ensuring the matching of high-urgency vehicles with charging piles having a higher power margin.

[0114] Specifically, the matching cost of each charging pile for different vehicles can be calculated based on the weights of the adaptation matrix. By row and column reduction, the minimum weight matching is found to ensure the optimal power distribution scheme, generate the power distribution strategy and push it to the vehicle terminal, and the vehicle terminal can then perform a charging connection with the corresponding charging pile according to the identification information.

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

[0116] Step S106: Calculate the safety limit based on the real-time status data of each charging pile, and adjust the actual allocated power of the power distribution strategy based on the safety limit;

[0117] Among them, during the operation of the charging pile, it is necessary to strictly follow the safety limits to prevent equipment overload, overheating, or failures caused by abnormal parameters such as voltage and current. Therefore, the system needs to perform a safety limit detection on the power distribution strategy, that is, before the power distribution of the charging pile, ensure that the working state of each charging pile does not exceed its safety limit.

[0118] In some embodiments, the safety limits include the safety limit of the charging pile interface temperature, the power safety limit, the current safety limit, the voltage safety limit, and so on. The system adjusts the power distribution strategy for each charging pile based on the safety limits. If problems such as over-temperature of the charging pile, over-current, abnormal voltage, or over-power occur in the charging pile, the power output needs to be adjusted to prevent equipment damage and maintain the stable operation of the system.

[0119] Step S107, respectively 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 distribution strategy; if not, jump to step S108; if so, continue to execute step S107 for the next charging pile;

[0120] Step S108, calculate the power amount to be migrated of the charging pile and generate a load migration strategy;

[0121] Specifically, when judging whether the actual allocated power meets the vehicle charging demand, the current load power of the charging pile also needs to be considered, that is, the actual allocated power needs to be able to support the current load power and the vehicle charging demand at the same time. If the power adjustment causes the power of some charging piles to not meet the vehicle charging demand, calculate the power to be migrated required by the charging pile, and select the target migration object 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 migration is to balance the power between the charging piles to ensure that all vehicles can complete charging on time. For example, some charging piles can reduce the power output, and other charging piles will supplement the reduced power to ensure that vehicles with emergency needs can be charged.

[0123] Exemplarily, if the allocated power of charging pile 2 is not enough to meet the demand of vehicle 2, the system can migrate some power from charging pile 3 to charging pile 2 to ensure that the charging demand of vehicle 2 is met.

[0124] Step S109, receive the vehicle connection completed signal from each charging pile, adjust the actual allocated power of each charging pile according to the adjusted power distribution strategy, and adjust the bus voltage through the energy storage device based on the load migration strategy to obtain the corresponding execution feedback result;

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

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

[0127] In addition, the status of each charging pile and energy storage device is 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 based on the feedback results.

[0128] Step S110: Dynamically optimize and adjust the power distribution strategy according to the execution feedback results, and identify inefficient charging piles for power compensation. Among them, the execution feedback results provide key information about the actual operating status of the charging piles. Based on these feedbacks, the system needs to dynamically optimize and adjust the power distribution strategy and identify inefficient charging piles for power compensation.

[0129] Specifically, according to the feedback results, the system can dynamically adjust the power margin, charging urgency, compatibility factor, etc. of the charging piles. For example, when the system finds that a certain charging pile limits its power output due to overheating, it may be necessary to adjust the distribution plan of other charging piles according to its actual power demand, or increase the supplementary power to this charging pile. At the same time, the weights of the adaptation matrix can be adjusted according to the real-time status of the charging piles and vehicles. For example, the weight of inefficient charging piles can be increased to enable them to resume the charging ability as soon as possible. In addition, by monitoring the operating efficiency of each charging pile, the system can identify those inefficient charging piles whose power output fails to meet the expectations. If the actual power is far lower than expected, it may be that the charging pile is working inefficiently. The deficiencies of these charging piles can be compensated by dynamically adjusting the resources of other charging piles. Exemplarily, if the efficiency of a certain charging pile is lower than 80%, the power distribution to this charging pile can be increased to ensure that the charging task can be completed. However, it should be noted that the compensated power value shall not exceed the power safety limit of the charging pile.

[0130] In the above embodiments, by comprehensively considering the power availability of charging piles and the charging urgency of vehicles, a charging pile-vehicle adaptation matrix is constructed, and based on this matrix, energy scheduling is performed. Through dynamic power distribution strategies and load migration strategies, the allocation of charging pile resources can be effectively optimized, enabling the system to flexibly and efficiently respond to charging demands under different battery and charging environment conditions, ensuring the smooth progress of charging tasks. Finally, the system performs dynamic optimization based on the execution feedback results, identifies and compensates for inefficient charging piles, ensuring that the charging pile energy management system can efficiently and flexibly allocate resources, improving the energy utilization rate of charging piles while optimizing the user experience.

[0131] Referring to Figure 2 , as an embodiment of step S104, the steps of calculating the adaptation weight between each charging pile and vehicle according to the power margin of the charging pile and the charging urgency of the vehicle include:

[0132] Step S201, obtain the charging interface type and communication protocol type of each charging pile and vehicle and perform matching to obtain the interface matching situation and communication protocol matching situation;

[0133] Among them, whether the interface type and communication protocol between the charging pile and the vehicle are matched directly determines whether they can communicate normally and charge. Since different electric vehicles and charging piles adopt different standard interfaces and protocols, interface matching and protocol matching are the prerequisites for ensuring the smooth progress of the charging process. Specifically, interface types such as CCS (Combined Charging System), CHAdeMO, Type1, Type2, etc. Different interface types determine whether the charging pile and the vehicle can be directly connected; for example, if the charging pile supports the CCS2 interface and the vehicle also supports CCS2, the interface matching is successful and a matching value of 1 is returned; if not, a lower matching value is returned. In addition, communication protocols such as OCPP (Open Charge Protocol), ISO15118, etc. 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 this protocol, the protocol matching is successful and a matching value of 1 is returned; if it supports other protocols, 0.8 or lower is returned.

[0134] Step S202, obtain the voltage matching situation between each charging pile and 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 and even damage to the battery. Therefore, during the matching process between the charging pile and the vehicle, whether the voltage is suitable is an important factor. Specifically, the charging pile usually supports 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 being 800V systems), the voltage matching factor is taken as 1; if the voltage is not completely matched, for example, 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 this match is not completely ideal.

[0136] Step S203: Based on the 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 situation, use the preset compatibility score mapping table to evaluate the compatibility between each charging pile and the vehicle. By comprehensively considering these three aspects of factors, a comprehensive compatibility factor can be calculated to describe the matching degree between the charging pile and the vehicle. Specifically, according to the interface matching situation (such as CCS2 to CCS2), calculate the compatibility factor through the mapping table. If it is completely matched, the compatibility factor is 1; if it is not matched, it is reduced according to the standard mapping table. According to the voltage matching situation, use the preset mapping table to calculate the compatibility factor. If it is completely matched, return 1; if it is partially matched, return 0.8 or lower. According to the communication protocol matching situation, calculate the compatibility factor through the preset mapping table. If the charging pile and the vehicle use the same protocol, return 1; otherwise, return the corresponding lower value according to the specific situation.

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

[0139] Among them, comprehensively considering the interface, protocol, and voltage matching situation between the charging pile and the vehicle, calculate an overall comprehensive compatibility factor, which is used to quantify the matching degree between the charging pile and the vehicle and is used for subsequent adaptation weight calculation. Specifically, multiply the interface type compatibility factor, voltage matching compatibility factor, and communication protocol compatibility factor to obtain the comprehensive compatibility factor; if the interface, communication protocol, and voltage are all completely matched, the comprehensive compatibility factor is 1; if one of them is not matched, the comprehensive compatibility factor will be reduced accordingly.

[0140] Step S205: Calculate the adaptation weight between each charging pile and vehicle based on the power margin of the charging pile, the urgency of vehicle charging, and the comprehensive compatibility factor. The adaptation weight is a matching metric between the charging pile and the vehicle. By comprehensively considering the power margin of the charging pile, the urgency of vehicle charging, and the compatibility factor, the final adaptation weight is calculated to determine the allocation of charging resources. The specific calculation formula is: Adaptation weight = Urgency of vehicle charging × Power margin of charging pile × Comprehensive compatibility factor.

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

[0142] Referring to Figure 3 , as an embodiment of step S105, the steps of calculating the power distribution strategy based on the charging pile-vehicle adaptation matrix include:

[0143] Step S301: Convert the charging pile-vehicle adaptation matrix into a matching cost matrix. The adaptation matrix between the charging pile and the vehicle contains the adaptation weights between the charging pile and the vehicle. Convert this 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 smaller 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, and M max and M min are the maximum and minimum weights in the adaptation matrix respectively. This formula converts the weight into a normalized cost value, which is convenient for solving the matching scheme with the minimum cost.

[0147] Exemplarily, assume that there is a charging pile-vehicle adaptation matrix as follows:

[0148]

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

[0150]

[0151] Step S302: Based on the matching cost matrix, perform column reduction and row reduction respectively to obtain an adjusted matching cost matrix. Among them, row reduction means finding the minimum value in each row of the matching cost matrix and subtracting this minimum value from each element in that row. Column reduction means calculating the minimum value in each column of the matching cost matrix and subtracting this minimum value from each element in that column. The reduction steps reduce the computational complexity and ensure that the optimal match can be found more efficiently.

[0152] Exemplarily, for the matching cost matrix C:

[0153]

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

[0155]

[0156] Step S303: In the adjusted matching cost matrix, find the matching pairs that minimize the total matching cost, determine the vehicle matched to each charging pile, and obtain the optimal matching result. Among them, in the adjusted matching cost matrix, the optimal match is performed by finding zero elements or minimum cost elements. The optimal matching goal is to ensure the minimization of the total matching cost, and at the same time, allocate the power between the charging pile and the vehicle according to the matching relationship. By determining the matching relationship between each charging pile and the vehicle, it is ensured that each charging pile can be reasonably allocated according to the urgency and power margin of the vehicle.

[0157] Exemplarily, according to the above-adjusted matching cost matrix, the system may select: charging pile 1 is matched with vehicle 1 (because its adaptation weight is the highest and the matching cost is the smallest), charging pile 2 is matched with vehicle 3, and charging pile 3 is matched with vehicle 2.

[0158] Step S304: Based on the optimal matching result, determine the actual allocated power of each charging pile to obtain a power allocation strategy. Among them, according to the optimal matching result, determine the actual allocated power of each charging pile. The power allocation needs to consider the power margin of the charging pile and the charging demand of the vehicle, and also consider the current load power to ensure that the output power does not exceed the maximum power capacity of the charging pile and try to meet the charging demand of the vehicle.

[0159] In the above embodiment, according to the adaptation matrix, power margin and charging urgency between the charging pile and the vehicle, calculate the optimal power allocation scheme to ensure the efficient allocation of resources between the charging pile and the vehicle, ensure that the vehicle with high urgency is preferentially allocated to the charging pile with a large power margin, and perform dynamic adjustment in combination with the real-time state, so as to achieve efficient, safe and intelligent charging pile energy management.

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

[0161] Step S401, perform data preprocessing on the real-time status data of each charging pile; among them, 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 is necessary to clean, verify and standardize to ensure that all data meets the requirements of system analysis.

[0162] Step S402, calculate the overlimit derating coefficient of each charging pile according to the real-time status data after data preprocessing; among them, the overlimit derating coefficient includes the temperature overlimit derating coefficient, the current overlimit derating coefficient and the voltage overlimit derating coefficient; specifically, the overlimit derating coefficient reflects the available power adjustment of the charging pile under different operating conditions. When the overlimit derating coefficient includes temperature, current and voltage overlimits, how the power output of the charging pile is reduced is calculated. Calculating these derating coefficients can ensure that the charging pile reduces output under unsafe conditions and prevent equipment damage.

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

[0164]

[0165] Among them, the current overlimit derating coefficient can be calculated according to the degree of current overload. For example, when the current exceeds 85% of the rated current, derating adjustment needs to start. The current overlimit derating coefficient 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 overlimit threshold, indicating that when the current exceeds 85% of the rated current, derating adjustment needs to start. Among them, the voltage overlimit derating coefficient C voltage,j is the power adjustment ratio based on when the voltage V j of the charging pile exceeds the ±5% range of the grid rated voltage. The specific calculation formula 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: Calculate the safety power limit value corresponding to each charging pile according to the overlimit derating coefficient;

[0171] Among them, the safety power limit value is the maximum available power of each charging pile under a specific overlimit state, which ensures that the charging pile will not malfunction due to overload, overheating or voltage fluctuation during operation. By calculating the safety power limit value, the power output can be dynamically adjusted according to the overlimit derating coefficient. Specifically, if the temperature, current or voltage exceeds the limit, the power output of the charging pile will be restricted, and the calculation formulas are as follows:

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

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

[0174] If the voltage exceeds the limit, the safety power limit value 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, and C temp,j , C current,j and C voltage,j are the temperature overlimit derating coefficient, current overlimit derating coefficient and voltage overlimit derating coefficient respectively.

[0176] Step S404: Based on the preset overlimit threshold, perform overlimit state detection on each charging pile respectively to obtain the overlimit state detection result of each charging pile;

[0177] Step S405: Adjust the power distribution of the charging piles with overlimit states according to the safety power limit value to obtain the adjusted power distribution strategy. Among them, the overlimit state detection is a continuous monitoring of the real-time state of the charging pile, and power adjustment will only be performed when there is an overlimit. Compare the real-time state data of each charging pile with the preset overlimit thresholds (such as temperature threshold, current threshold and voltage threshold). When it is detected that the state of a certain charging pile exceeds the limit, calculate the derating coefficient according to the overlimit type (temperature, current, voltage), and calculate the corresponding safety power limit value.

[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 safety power limit value, and P assign,j is the actual allocated power of the charging pile, ensuring that it does not exceed the safety power limit value.

[0181] In the above implementation, the real-time status of the charging pile is preprocessed and overlimit detected, and the safety power limit value is calculated according to the overlimit derating coefficient. The power distribution strategy is dynamically adjusted under the overlimit state of the charging pile to ensure that the charging pile will not be overloaded or overheated due to overlimit conditions such as temperature, current, and voltage, thereby effectively extending the equipment life, avoiding failures, and improving the overall safety of the charging system.

[0182] Referring to Figure 5 , as a further implementation of the charging pile energy management method, it further includes:

[0183] Step S501, record the overlimit state detection results of each charging pile, and accumulate the overlimit times of each charging pile; among them, the overlimit state of the charging pile (such as overlimit of temperature, current, voltage, etc.) may cause abnormal operation of the equipment, even damage the battery or affect the power supply system. Therefore, the system needs to detect the overlimit state of each charging pile and record its overlimit times to determine whether further measures need to be taken.

[0184] Step S502, freeze the energy distribution of the charging piles whose overlimit times reach the preset number threshold within the preset time period; specifically, if the overlimit times exceed the preset number threshold within the set time window (such as within 24 hours), it is determined as an abnormal charging pile, freeze the energy distribution permission of this charging pile, and set a freeze mark to prevent subsequent power scheduling from assigning charging tasks to this charging pile; if it does not exceed the preset threshold (such as 3 times), only record it and do not take freezing measures.

[0185] Step S503, adjust the charging pile-vehicle adaptation matrix according to the frozen charging piles, and update the power distribution strategy based on the current load status of the frozen charging piles;

[0186] Among them, after freezing the abnormal charging piles, recalculate the charging pile-vehicle adaptation weights, remove the frozen charging piles, and transfer the current load of this charging pile to other charging piles. By calculating the power margin of the remaining unfrozen charging piles, reasonable power distribution is achieved. It should be noted that if some charging piles are overloaded, the system can preferentially select the energy storage system to provide power compensation to ensure load balance.

[0187] Step S504, send a maintenance prompt message to the corresponding maintenance terminal according to the frozen charging piles;

[0188] In order to repair the frozen charging pile as soon as possible, the system needs to send a notification to the maintenance terminal to remind the operation and maintenance personnel to check and repair it. The maintenance reminder information may include the charging pile number, location, over-limit type (current, voltage, temperature, etc.), time and number of times the over-limit 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 information, the energy allocation state of the frozen charging pile is restored and the charging pile re-participates in power allocation. After the maintenance is successful, the frozen state needs to be released to allow the charging pile to re-participate in power allocation, and the power margin and adaptation weight of the charging pile are recalculated so that the restored charging pile can re-participate in scheduling.

[0191] In the above implementation, combined with the detection of the over-limit state of the charging pile, the automatic management of the charging pile resource allocation is realized. The system can automatically freeze the allocation authority when the charging pile exceeds the limit, and ensure the smooth completion of the charging task through real-time monitoring, dynamic adjustment of the power allocation strategy and adaptation matrix weight.

[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, and the frozen charging pile list contains all frozen charging pile numbers.

[0194] Step S602, obtaining the current load status of each frozen charging pile in the charging pile freezing list, and calculating the load requirements to be allocated of all frozen charging piles; wherein, according to the current load status of each frozen charging pile, the total load requirement to be allocated is calculated to perform load migration after freezing.

[0195] Step S603: Determine the target charging pile for migration according to the load demand to be allocated, and obtain the load migration strategy. Among them, the load of the frozen charging pile must be migrated to the unfrozen charging pile to ensure the continuous progress of the charging task. The migration strategy needs to consider the power margin and the current load situation of the target charging pile to ensure load balance. Specifically, charging piles with sufficient power margin can be selected from the unfrozen charging piles as the target charging piles for migration. The load migration strategy is used to record how the load of each frozen charging pile is migrated to the target charging pile.

[0196] Step S604: Remove the matching relationships of all frozen charging piles in the charging pile-vehicle adaptation matrix, and adjust the charging pile-vehicle adaptation matrix based on the load migration strategy. Specifically, the frozen charging piles can no longer provide charging services for 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 the subsequent power distribution. At the same time, determine the load amount that the target charging pile for migration needs to receive according to the load migration strategy, so as to adjust the corresponding power margin for calculating the corresponding adaptation weight.

[0197] Step S605: Recalculate according to the adjusted charging pile-vehicle adaptation matrix to obtain the updated power distribution strategy. Among them, the frozen charging piles are excluded from the power distribution, and at the same time, the power margins of the remaining charging piles are recalculated to ensure that the charging needs of the vehicles are reasonably met. By recalculating the power distribution strategy, the system can optimize resource utilization and avoid power waste.

[0198] In the above embodiments, the current load is properly handled after the charging pile is frozen to ensure that the charging task is not affected. By dynamically adjusting the charging pile-vehicle adaptation matrix and the power distribution strategy, the efficient allocation of charging pile resources is ensured, and the maximization of the utilization rate of the charging piles is achieved. This mechanism enhances the robustness and flexibility of the charging station, ensuring the 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 includes:

[0201] A charging demand processing module, configured to receive vehicle charging demand information from multiple vehicle terminals and evaluate the corresponding vehicle charging urgency weights; a communication verification processing module, configured to obtain the real-time status data of each charging pile and verify the communication status of each charging pile, and perform data review on the real-time status data according to the verification results; a power margin calculation module, configured to calculate the charging pile power margin of each charging pile according to the real-time status data after data review; an adaptation matrix construction module, configured to calculate the adaptation weights 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, configured to calculate a power distribution strategy based on the charging pile-vehicle adaptation matrix and send it to each vehicle terminal; a safety limit processing module, configured to calculate a safety limit according to the real-time status data of each charging pile, and adjust the actual allocated power of the power distribution strategy based on the safety limit; a judgment module, configured to respectively 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 distribution strategy; if not, output a first judgment result; a load migration module, configured to calculate the power amount to be migrated of the charging pile and generate a load migration strategy in response to the first judgment result; an energy control module, configured 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 distribution strategy, and perform bus voltage regulation through an energy storage device based on the load migration strategy to obtain a corresponding execution feedback result; a feedback optimization module, configured to perform dynamic optimization adjustment on the power distribution strategy according to the execution feedback result, and identify inefficient charging piles for power compensation.

[0202] In the above embodiments, by comprehensively considering the power availability of the charging piles and the charging urgency of the vehicles, the optimal scheduling and dynamic balance of the charging resources are realized, the charging efficiency and system safety are significantly improved, the risk of equipment overload is reduced, and the stability and economic benefits of the entire charging network are enhanced.

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

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

[0205] The charging pile energy management system according to the embodiments of the present application can implement any one of the above charging pile energy management methods, and the specific working processes of each module in the charging pile energy management system can refer to the corresponding processes in the above method embodiments.

[0206] In several embodiments provided by the present 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 only illustrative; for example, the division of a certain module is only a logical function division, and there may be other division methods in actual implementation. For example, multiple modules can be combined or integrated into another system, or some features can be ignored or not executed.

[0207] The embodiments of the present application also disclose a computer device.

[0208] The computer device includes a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the computer program, it implements the charging pile energy management method as described above.

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

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

[0211] Among them, the computer-readable storage medium can be any tangible medium that contains or stores a program, and the program 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 by any suitable medium, including but not limited to wireless, wire, optical fiber, RF, etc., or any suitable combination of the above.

[0212] It should be noted that in the above embodiments, the descriptions of the various embodiments have their own emphases. For the parts not detailed in a certain embodiment, reference may be made to the relevant descriptions of other embodiments.

[0213] The above are all preferred embodiments of the present application. The protection scope of the present application is not limited thereby. Any feature disclosed in this specification (including the abstract and drawings), unless specifically described, can be replaced by other equivalent or similar-purpose alternative features. That is, unless specifically described, each feature is only 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 according to the verification result; Calculate the charging pile power margin of each charging pile according to the real-time status data after data review; According to the power margin of the charging pile and the charging urgency of the vehicle, the adaptation weight between each charging pile and the vehicle is calculated to 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; According to the adjusted power allocation strategy, it is determined whether the actual allocated power of each charging pile meets the vehicle charging demand information of the corresponding vehicle; if not, the amount of power to be migrated of the charging pile is calculated, and a load migration strategy is generated; 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 a corresponding execution feedback result; 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, 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; Calculate the comprehensive compatibility factor between the charging pile and the vehicle according to 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: Based on the charging pile-vehicle adaptation matrix, the step of calculating the power allocation strategy includes: 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 according to the real-time status data after data preprocessing; the over-limit derating coefficient includes the over-limit derating coefficient of temperature, the over-limit derating coefficient of current and the over-limit derating coefficient of voltage; Calculate the safety power limit corresponding to each charging pile according to the over-limit derating coefficient; 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; The power allocation of the charging pile in the over-limit state is adjusted according to the safety power limit to obtain an adjusted power allocation strategy.

5. A charging pile energy management method according to claim 4, characterized in that: The charging pile energy management method also includes: Record the over-limit state detection result of each charging pile, and accumulate the number of over-limit times of each charging pile; Freeze the energy distribution of charging piles that have exceeded 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 a 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 a charging pile freezing list according to 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 according to 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 comprises: A charging demand processing module, used to receive vehicle charging demand information from multiple vehicle terminals and evaluate the corresponding vehicle charging urgency weights; A communication verification processing module, used to obtain the real-time status data of each charging pile, verify the communication status of each charging pile, and perform data review on the real-time status data according to the verification result; A power margin calculation module, used to calculate the charging pile power margin of each charging pile according to 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 power margin of the charging pile and the charging urgency of the vehicle, and construct a charging pile-vehicle adaptation matrix; A power allocation module, used to calculate a power allocation strategy based on the charging pile-vehicle adaptation matrix and send it to each vehicle end; A safety limit processing module, used to calculate a safety limit according to 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, 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, output a first judgment result; A load migration module, configured 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; An energy control module is used 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 a corresponding execution feedback result; A 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.

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 result of each charging pile and accumulate the number of over-limit times of each charging pile; An energy distribution freezing module is used to freeze the energy distribution of charging piles whose number of over-limit times reaches a preset number threshold within a preset time period; A power allocation adjustment module, used 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, used for sending maintenance reminder information to a corresponding maintenance terminal according to the frozen charging pile; A maintenance feedback module, used for receiving maintenance completion feedback information from the maintenance terminal in real time; The energy distribution recovery module is used to respond to the maintenance completion feedback information, restore the energy distribution state of the frozen charging pile and re-participate in power distribution.

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 when the processor executes the program, the method according to any one of claims 1 to 6 is implemented.

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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