Intelligent ordered charging system for electric automobile

Abstract

The invention relates to the technical field of automobile charging, and discloses an electric automobile intelligent ordered charging system, which comprises a load regulation and control unit used for collecting charging data of each charging pile in real time, transmitting the charging data of all the charging piles to a power grid load regulation and control platform, receiving a power regulation instruction transmitted by the power grid load regulation and control platform, and sending the power regulation instruction to an electric automobile. The charging power of each charging pile is dynamically adjusted based on the power grid load, the available power of the charging pile and the demand power of the user; and the power grid load regulation and control platform is used for receiving the charging data of all the charging piles transmitted by the load regulation and control unit, comparing the load power calculated according to the charging data with the rated power of the transformer, matching a set power regulation strategy according to a comparison result, generating a power regulation instruction and transmitting the power regulation instruction to the load regulation and control unit. By reasonably arranging the charging time and the electric quantity of the electric vehicle, operation of the power grid is optimized, overlarge load or overlarge fluctuation of the power grid is avoided, and therefore the stability and the reliability of the power grid are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of electric vehicle charging, and particularly relates to an intelligent and orderly charging system for electric vehicles. Background Art

[0002] With the improvement of environmental awareness and the restrictions on traditional fuel vehicles, electric vehicles have gradually become the focus of attention. It is expected that new energy electric vehicles will experience explosive growth in the next few years. This means that more electric vehicles will be on the road and require charging facilities. According to the requirements of the "Engineering Technical Standard for Scattered Charging Facilities of Electric Vehicles" GB / T 51313-2018, newly built residential communities need to be equipped with 100% charging facilities or engineering construction and installation conditions. However, due to the long construction time of many old communities, the load capacity of the facilities required for electric charging was not considered, resulting in an increasingly serious charging problem as the number of electric vehicles increases year by year. Overall, the simultaneous charging of electric vehicles will increase the burden on the power system, which may lead to power grid outages or even overloads, affecting the reliability and stability of the power grid. At the same time, the popularization of charging piles has also caused sudden problems: some residents selfishly pull wires to connect to the base rooms, and the installation baseline levels are uneven and the construction is disorderly; clearly visible cable assemblies are connected to each other, lacking effective maintenance and management, and there are increasing potential safety hazards; the power facilities in the community are randomly occupied, affecting access fairness. These problems exacerbate the power grid load, leading to accelerated aging of the lines, low-voltage power outages, medium-voltage faults, and even accidents such as electric shock and explosion, seriously threatening the safety of residents' electricity use. Summary of the Invention

[0003] In view of the above deficiencies in the prior art, the present invention provides an intelligent and orderly charging system for electric vehicles.

[0004] To achieve the above invention objective, the technical solution adopted by the present invention is as follows:

[0005] An intelligent and orderly charging system for electric vehicles, comprising:

[0006] A load regulation unit, configured to collect the charging data of each charging pile in real time, transmit the charging data of all charging piles to the power grid load regulation platform, receive the power regulation instruction transmitted by the power grid load regulation platform, and dynamically adjust the charging power of each charging pile based on the power grid load, the available power of the charging pile, and the required power of the user;

[0007] A power grid load regulation platform, configured to receive the charging data of all charging piles transmitted by the load regulation unit, compare the load power calculated according to the charging data with the rated power of the transformer, match the set power regulation strategy according to the comparison result, generate a power regulation instruction, and transmit it to the load regulation unit.

[0008] Further, the charging data of the charging pile includes charging status, current, voltage, and power parameters.

[0009] Further, compare the load power calculated based on the charging data with the rated power of the transformer. The power adjustment strategy set according to the comparison result includes:

[0010] Calculate the ratio of the load power calculated based on the charging data to the rated power of the transformer, and match the set power adjustment strategy when the calculated ratio reaches the set ratio threshold.

[0011] Further, the power adjustment strategy set for matching includes:

[0012] Judge whether there is a pre-set power adjustment strategy; if so, generate a corresponding power adjustment instruction according to the pre-set power adjustment strategy; otherwise, proceed to the next step;

[0013] Judge whether it is the vehicle usage period; if so, preferentially reduce the charging power of the vehicles that arrived earlier; otherwise, evenly distribute the remaining load.

[0014] Further, generating a corresponding power adjustment instruction according to the pre-set power adjustment strategy includes:

[0015] When the pre-set power adjustment strategy is a power adjustment strategy based on the user's vehicle usage habits, by establishing a user vehicle usage habit model, predict the power consumption and charging demand of each user, expressed as:

[0016]

[0017] where, E i is the predicted power consumption of vehicle i, E max is the maximum predicted power consumption among all vehicles, P i is the charging power of vehicle i, P max is the maximum charging power;

[0018] Sort according to the power consumption of users, and preferentially reduce the charging power of vehicles with smaller power consumption.

[0019] Further, generating a corresponding power adjustment instruction according to the pre-set power adjustment strategy includes:

[0020] When the pre-set power adjustment strategy is a power adjustment strategy based on the user's vehicle usage time, according to the user's vehicle usage time prediction model, calculate the charging duration to meet the user's power consumption demand, expressed as:

[0021]

[0022] where, T charge,iis the estimated charging duration of vehicle i, T max is the charging duration of the vehicle with the longest charging duration among all vehicles, P i is the charging power of vehicle i, P max is the maximum charging power;

[0023] And sort by charging duration, and preferentially reduce the charging power of vehicles with longer durations.

[0024] Furthermore, generating the corresponding power adjustment instruction according to the pre-set power adjustment strategy includes:

[0025] When the pre-set power adjustment strategy is the power adjustment strategy based on the user's manual setting of priority charging, adjust the charging power according to the charging priority set manually by the user, expressed as:

[0026] P i = P max × P priority，i

[0027] where P i is the charging power of vehicle i, P max is the maximum charging power, P priiority,i is the charging priority.

[0028] Furthermore, preferentially reducing the charging power of vehicles that arrive earlier includes:

[0029] When the grid load is insufficient, distribute it evenly according to the remaining load of the grid, expressed as:

[0030]

[0031] where P i is the charging power of vehicle i, P total is the total remaining power, and N is the number of currently charging vehicles;

[0032] When the grid load is severely insufficient and cannot meet the equal distribution, preferentially reduce the charging power of the electric vehicles that arrive earlier, expressed as:

[0033] P i = P max -(T i - T min ) × δ

[0034] where P i is the charging power of vehicle i, P max is the maximum charging power, T i is the arrival time of vehicle i, T min is the earliest arrival time, and δ is the proportion of the reduction in the charging power of the vehicle.

[0035] Further, the average distribution of the remaining load includes:

[0036] When the grid load is within the safe range and the grid has sufficient power supply, the charging demands of all users are preferentially met, and the charging power of each vehicle is maximized, expressed as:

[0037] P i =P max , for all arriving vehicles, charge in the order of arrival

[0038] where P i is the charging power of vehicle i, and P max is the maximum charging power;

[0039] Further, the power regulation instructions include charging power adjustment instructions, preferential charging instructions, time-sharing charging instructions, and power cutting instructions.

[0040] The present invention has the following beneficial effects:

[0041] By reasonably arranging the charging time and power of electric vehicles, the present invention optimizes the operation of the power grid, avoids excessive burden or excessive fluctuations on the power grid, thereby improving the stability and reliability of the power grid. By guiding users to charge during periods of low electricity prices, the present invention reduces the charging cost, reduces conflicts between users, ensures that each user can charge conveniently, and improves the efficiency of the power system at the same time. Description of the Drawings

[0042] Figure 1 is a schematic structural diagram of an intelligent and orderly charging system for electric vehicles;

[0043] Figure 2 is a schematic flow diagram of an orderly charging strategy. Detailed Embodiments

[0044] The following describes the detailed embodiments of the present invention to facilitate those skilled in the art of the present technology to understand the present invention. However, it should be clear that the present invention is not limited to the scope of the detailed embodiments. For those of ordinary skill in the art of the present technology, as long as various changes are within the spirit and scope of the present invention defined and determined by the appended claims, these changes are obvious, and all inventions and creations using the concept of the present invention are within the scope of protection.

[0045] With the load control unit as the core, the present invention integrates the management and scheduling functions of charging piles, the power grid dispatching platform, and the operation platform, thereby realizing precise adjustment of the charging behavior of electric vehicles, optimizing the allocation of power resources, and ensuring that the stability of the power grid and the charging demands of electric vehicles are reasonably met.

[0046] Such as Figure 1As shown in the figure, an intelligent and orderly charging system for electric vehicles provided by an embodiment of the present invention includes:

[0047] A load regulation unit, configured to collect the charging data of each charging pile in real time, transmit the charging data of all charging piles to the grid load regulation platform, receive the power regulation instruction transmitted by the grid load regulation platform, and dynamically adjust the charging power of each charging pile based on the grid load, the available power of the charging pile, and the required power of the user;

[0048] A grid load regulation platform, configured to receive the charging data of all charging piles transmitted by the load regulation unit, compare the load power calculated according to the charging data with the rated power of the transformer, match the set power regulation strategy according to the comparison result, generate a power regulation instruction, and transmit it to the load regulation unit.

[0049] In this embodiment, the load regulation unit plays a connecting role in the whole system and mainly undertakes the following functions:

[0050] · Data collection and monitoring: The system collects data such as the charging status, current, voltage, and power of each charging pile in real time, summarizes them by substation area, and compares them with the load power of the transformer. The judgment criterion is to compare the load power of the substation area with the rated power of the transformer. A warning is issued when the load reaches more than 80%, adjustment measures are taken when it exceeds 90%, and emergency handling is triggered when it reaches 100%. According to the judgment result, the grid load regulation platform can adjust the charging power of the charging pile or perform load distribution, optimize the utilization of power resources, avoid transformer overload, and ensure the stable operation of the grid at the same time.

[0051] · Regulation execution strategy: According to the regulation strategy set by the system and the total available power, the load regulation unit performs real-time charging power regulation. Specifically, it dynamically adjusts the charging power of each charging pile according to the grid load, the available power of the charging pile, and the required power of the user to avoid overload and imbalance.

[0052] · Data transparent transmission and interaction: The operation data of the charging pile is uploaded to the grid load regulation platform through the collection unit. The grid load regulation platform can monitor the status of each charging pile in real time and send a power adjustment instruction to the load regulation module through the 104 or MQTT protocol. The load regulation unit communicates with the charging pile through PLC carrier wave, LoRa, or RS485. After receiving the instruction, the charging pile accurately controls the vehicle charging power by adjusting the duty cycle and feeds back the execution result to the grid load regulation platform to ensure efficient grid load management and dynamic adjustment of charging power.

[0053] In this embodiment, the role of the power grid load regulation platform is to reasonably allocate power dynamically according to the power grid load and the current power consumption of the substation area, ensuring that the charging process does not cause excessive pressure on the power grid. The interaction between the load regulation unit and the power grid load regulation platform includes:

[0054] · Dynamic power distribution: The dispatching platform obtains the total power load of each charging pile by real-time monitoring of the power grid load and the power demand of each substation area. The specific distribution method is as follows: First, calculate the difference between the load of the substation area transformer and the target load to draw a conclusion; then adjust the adjustment value and transmit it to the load control unit, and select a suitable strategy to send to the load control unit. The load control unit ensures that the power demand of each charging pile is within the power grid load capacity according to the specific conditions of each charging pile, thereby optimizing the load distribution and avoiding overload.

[0055] · Strategy selection: According to the power grid load situation, the power grid load regulation platform selects a suitable charging regulation strategy. When the power grid load is low, charging can be prioritized; when the load is high, time-sharing charging and power limit strategies are adopted; when the load approaches or exceeds the warning value, priority is given to charging important charging piles, and the power of other piles is controlled, and charging stop or power cut is carried out if necessary; when the power grid load fluctuates greatly, the power grid load regulation platform will dynamically adjust the power distribution to ensure the stable operation of the power grid. Through these strategies, the power grid load regulation platform can reasonably allocate power, avoid overload, and optimize the use of charging resources.

[0056] · Load regulation: The load regulation unit adjusts the actual charging power of each charging pile according to the power regulation and distribution instructions received from the power grid load regulation platform to meet the balance demand and the charging demand of electric vehicles.

[0057] In this embodiment, an intelligent and orderly charging system for electric vehicles further includes an operation platform. The interaction between the load regulation unit and the operation platform includes:

[0058] · User account management: The operation platform is responsible for managing user accounts, including the registration of charging piles, user recharge, querying power consumption, etc. The operation platform will receive the data transparently transmitted by the load regulation module to help the platform operators master the real-time status of each user's charging pile.

[0059] · Data analysis and reporting: The operation platform conducts data analysis on the collected charging data to generate statistical reports. These data not only help the platform understand the usage of charging piles, but also contribute to subsequent resource planning and optimization.

[0060] · User notification and feedback: The operation platform can also send notifications to users through the load unit, informing them of charging details, charging fees, charging time and other information, as well as any abnormal conditions that require users' attention.

[0061] The system architecture and data flow of an intelligent and orderly charging system for electric vehicles provided by an embodiment of the present invention include:

[0062] · Charging pile access and data collection: Each charging pile is connected to the load regulation unit through a communication protocol, and data such as the working status, power demand, current, and voltage of the charging pile are collected in real time.

[0063] · Data calculation and regulation: After receiving the real-time data of each charging pile, the load regulation unit calculates and regulates the charging power of each charging pile according to the current load of the power grid, available power, and set regulation strategies. For example, when the load is high, the load regulation unit can reduce the power output of some charging piles to balance the burden on the power grid.

[0064] · Data transparent transmission and interaction:

[0065] The load control unit transmits the data of the charging pile collected to the operation platform, and manages the user account and charging pile based on the operation platform.

[0066] After the load regulation unit triggers the charging power regulation, the adjusted data will be sent to the power grid load control platform. The power grid load control platform further adjusts the dispatching strategy according to the power grid load and actual situation, generates adjustment instructions and feedbacks them to the load control unit. The specific instructions include: 1) Adjust the charging pile power, limit the power or additional power of some charging piles according to the power grid load situation; 2) Priority charging index order, give priority to allocating power to key charging piles; 3) Time-sharing charging instruction, adjust the charging gain of the charging pile to a low-load gain; 4) Power cutting instruction, cut the power of high-load charging piles, or suspend charging in case of overload. Through these instructions, the power grid load control platform effectively controls the charging burden, and ensures the stability of the power grid and the balance of charging demand. Dispatching power and execution: The power grid load control platform decides how to adjust the charging power according to the power grid load situation and specific strategies, and gives it to the load regulation module. The load regulation unit adjusts the power output of the charging pile in real time according to the instructions of the power grid load control platform.

[0067] The goal of the orderly charging strategy adopted in this embodiment is to ensure that the charging needs of users are met without overloading the power grid load, reduce the charging cost, and at the same time optimize the allocation of power grid resources. Specifically, this strategy realizes the balance between demand and supply by dynamically adjusting the charging power according to multi-dimensional factors such as the power grid load situation, user needs, and driving habits. The specific strategy selection logic and application scenarios are as Figure 2 shown.

[0068] In this embodiment, the load power calculated based on the charging data is compared with the rated power of the transformer, and the matching set power adjustment strategy according to the comparison result includes:

[0069] Calculate the ratio of the load power calculated based on the charging data to the rated power of the transformer, and when the calculated ratio reaches the set ratio threshold, match the set power adjustment strategy.

[0070] Among them, the matching set power adjustment strategy includes:

[0071] Judge whether there is a pre-set power adjustment strategy; if so, generate a corresponding power adjustment instruction according to the pre-set power adjustment strategy; otherwise, proceed to the next step;

[0072] Judge whether it is during the vehicle usage period; if so, preferentially reduce the charging power of the vehicle that arrives earlier; otherwise, evenly distribute the remaining load.

[0073] In this embodiment, generating a corresponding power adjustment instruction according to the pre-set power adjustment strategy includes:

[0074] When the pre-set power adjustment strategy is a power adjustment strategy based on the user's vehicle usage habits, by establishing a user vehicle usage habit model, predict the power consumption and charging demand of each user, expressed as:

[0075]

[0076] Among them, E i is the predicted power consumption of vehicle i, E max is the maximum predicted power consumption among all vehicles, P i is the charging power of vehicle i, P max is the maximum charging power;

[0077] Sort according to the power consumption of the users, and preferentially reduce the charging power of the vehicles with smaller power consumption.

[0078] In this embodiment, according to the user's vehicle usage habits, predict their charging demand, and sort according to the power consumption. The vehicle with smaller power consumption is preferentially reduced in charging power; this embodiment is applicable when the grid load is the strongest. The grid adjusts according to the user's charging habits for personalization. For example, the charging power of vehicles that have not been used for a long time can be reduced to preferentially ensure the charging demand of vehicles with high usage frequency.

[0079] In this embodiment, generating a corresponding power adjustment instruction according to the pre-set power adjustment strategy includes:

[0080] When the pre-set power adjustment strategy is a power adjustment strategy based on the user's vehicle usage time, according to the user's vehicle usage time prediction model, calculate the charging duration to meet the user's power consumption demand, expressed as:

[0081]

[0082] Among them, T charge,i is the estimated charging duration of vehicle i, and T max is the charging duration of the vehicle with the longest charging duration among all vehicles. P i is the charging power of vehicle i, and P max is the maximum charging power;

[0083] And sort by charging duration, and preferentially reduce the charging power of vehicles with longer durations.

[0084] In this embodiment, according to the charging duration of each user, the charging power of the vehicle with a longer charging duration is preferentially reduced to ensure that the charging process is completed within the specified time. This embodiment is applicable to high-demand charging environments, such as high-usage vehicles like electric taxis or online car-hailing vehicles. In the case of different charging durations, by optimizing the charging power distribution, it ensures that all vehicles complete charging on time.

[0085] The corresponding power adjustment instruction generated by this embodiment according to the preset power adjustment strategy includes:

[0086] When the preset power adjustment strategy is a power adjustment strategy based on the user's manual setting of priority charging, the charging power is adjusted according to the charging priority set manually by the user to ensure that some users can charge preferentially during a specific period to meet personalized needs, which is expressed as:

[0087] P i = P max × P priority，i

[0088] Among them, P i is the charging power of vehicle i, P max is the maximum charging power, and P priiority,i is the charging priority.

[0089] In this embodiment, the user can select the charging priority through means such as a mobile phone APP, and the system adjusts the charging order according to the setting. This embodiment is applicable when the user has special charging needs. For example, users in urgent need of using a car (such as taxi drivers, online car-hailing drivers, families with travel plans) set the charging priority through the APP, and the system adjusts the charging order according to the user's needs to ensure that their charging needs are preferentially met.

[0090] This embodiment includes preferentially reducing the charging power of the vehicle that arrives earlier:

[0091] When the grid load is insufficient, the charging power of each user is balanced to prevent grid overload. The specific method is to evenly distribute the available power to each electric vehicle being charged, which is expressed as:

[0092]

[0093] Among them, P i is the charging power of vehicle i, P total is the total remaining power, and N is the number of vehicles currently charging;

[0094] This embodiment evenly distributes according to the remaining load of the power grid to ensure that all electric vehicles have sufficient power supply. This embodiment is applicable to the situation where the power grid load is within the safe range but not exceeding the load safety range, such as the charging peak during the day, when the number of charging piles is limited and the power supply is tight. At this time, the system needs to balance the burden to ensure that each vehicle can charge.

[0095] This embodiment reduces the charging power of the vehicles that arrive earlier first, including:

[0096] When the power grid load is severely insufficient and cannot meet the equal distribution, the charging power of the vehicles that arrive first is preferentially reduced to ensure the balance of the power grid load and avoid system overload, which is expressed as:

[0097] P i = P max -(T i - T min )×δ

[0098] Among them, P i is the charging power of vehicle i, P max is the maximum charging power, T i is the arrival time of vehicle i, T min is the earliest arrival time, and δ is the proportion of the reduction of the vehicle charging power.

[0099] This embodiment preferentially reduces the charging power of the electric vehicles that arrive earlier, so as to ensure that the later-arriving electric vehicles can also obtain charging services. This embodiment is applicable when the power grid burden is close to or exceeds the bearing capacity, such as in the case of extreme peak burden or abnormal power grid. The system needs to take measures to reduce the load and preferentially ensure the charging needs of all electric vehicles.

[0100] This embodiment evenly distributes the remaining load, including:

[0101] When the power grid load is within the safe range and the power grid has sufficient power supply, the charging needs of all users are preferentially met, and the charging power of each vehicle is maximized, which is expressed as:

[0102] P i = P max , for all arriving vehicles, charge in the order of arrival

[0103] Among them, P i is the charging power of vehicle i, Pmax is the maximum charging power;

[0104] In this embodiment, the principle of "first come, first served" is adopted, and the charging order is sorted according to the time when the vehicle arrives at the charging pile, so as to ensure that each vehicle can charge at the maximum power as much as possible. This embodiment is applicable to the situation where the power grid burden is low and the supply is tight, such as late at night or non-peak hours. When the charging pile is idle, the system can make full use of the power resources to ensure that each vehicle charges efficiently.

[0105] The advantages of the present invention are as follows:

[0106] 1. Optimize the power grid burden distribution and reduce the risk of power grid overload

[0107] · Effect: Through reasonable power scheduling and load distribution, it is ensured that the power grid will not be overloaded due to the charging of electric vehicles. Whether it is the principle of "first come, first served" when the load is insufficient or the "average distribution" strategy when the load is insufficient, the charging power can be adjusted according to the real-time power grid conditions to avoid the risk of power grid load being too large resulting in power outages or equipment damage.

[0108] · Long-term impact: Reduce the intermittent fluctuations of the power grid, which is beneficial to improving the stability and reliability of the power grid and reducing the failure rate of power grid facilities.

[0109] 2. Reduce electricity costs and improve user satisfaction

[0110] · Effect: Through the centralized scheduling strategy, users are guided to charge preferentially when the electricity price is low (such as at night during the low valley period), and at the same time, vehicles with lower charging requirements are given priority to charge, reducing the charging cost.

[0111] · Long-term impact: The reduction of charging costs can improve the charging experience of users, enhance the acceptance degree of users for the charging mode in the community, and promote the popularization of electric vehicles.

[0112] 3. Effectively improve the utilization rate of electric vehicle charging facilities

[0113] · Effect: By maximizing the avoidance of the idle or occupation of charging pile resources each time, and using flexible charging power distribution and priority strategies, the charging piles can reasonably allocate resources according to demand, reduce the queue waiting time, and improve the overall turnover rate of charging piles.

[0114] · Long-term impact: As the number of electric vehicles increases, the demand for charging piles will continue to grow. Efficient resource management helps to improve the overall service capacity of charging facilities, avoid building too many new charging piles, and save infrastructure investment.

[0115] 4. Reduce the impact of electric vehicles on the power grid

[0116] · Effect: By dynamically adjusting the charging power according to the load condition of the power grid, the charging behavior of electric vehicles can avoid the instantaneous impact on the power grid during centralized charging, especially during peak load and load - tense periods. This scheduling method can effectively smooth the power grid load and reduce the impact of the burden on the power grid.

[0117] · Long - term impact: Improve the carrying capacity of the power grid, reduce the need for power grid expansion, and thus reduce the investment pressure on infrastructure.

[0118] 5. Promote the development of green energy and smart grid

[0119] · Effect: By introducing the concepts of smart grid and green energy (such as using solar energy and energy storage devices) in community - level strategic charging, it is possible to appropriately increase the use of renewable energy for charging electric vehicles and reduce the dependence on traditional energy. This not only reduces the dependence on the power grid but also improves the utilization rate of renewable energy.

[0120] · Long - term impact: Contribute to the popularization of smart grid and green energy, enhance the environmental friendliness and sustainability of the power system, and make contributions to the development of a low - carbon economy.

[0121] 6. Enhance the fairness and transparency of the charging process

[0122] · Effect: By allocating power according to the actual needs and driving habits of users, considering priority charging duration, vehicle use, and power consumption, it ensures that each user can fairly enjoy the charging resources. In addition, allowing users to manually set the priority of charging to meet personalized needs, thus increasing transparency and the user's sense of control.

[0123] · Long - term impact: Enhance users' charging trust and satisfaction, reduce possible conflicts and dissatisfaction during the charging process, and promote the popularization and acceptance of community charging models.

[0124] 7. Reduce power waste and improve system efficiency

[0125] · Effect: By dynamically adjusting the charging power, it can adjust the charging process according to the actual power grid load burden, avoid waste or over - concentration of burden caused by large - scale charging during peak periods, and improve the utilization efficiency of power grid resources.

[0126] · Long - term impact: Improve the operating efficiency of the power grid, reduce power grid losses, save power resources, and reduce environmental pollution and carbon emissions.

[0127] 8. Improve the charging experience of electric vehicles

[0128] Effect: Through the implementation of the community charging strategy, users can not only enjoy the convenience brought by low-cost charging and flexible scheduling, but also avoid the anxiety and waiting caused by the shortage of charging piles. In particular, through the charging system, users can enjoy the efficient experience of "senseless charging" by replenishing excess.

[0129] Long-term impact: As the user charging experience improves, user satisfaction with electric vehicle charging services will increase significantly, further promoting the popularity of electric vehicles in the market.

[0130] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0131] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0132] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0133] The present invention uses specific embodiments to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only used to help understand the method of the present invention and its core idea. At the same time, for those skilled in the art, according to the idea of ​​the present invention, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as a limitation on the present invention.

[0134] Those of ordinary skill in the art will realize that the embodiments described herein are for helping the reader understand the principles of the present invention, and it should be understood that the scope of protection of the present invention is not limited to such specific statements and embodiments. Those of ordinary skill in the art can make various other specific deformations and combinations that do not depart from the essence of the present invention based on these technical revelations disclosed in the present invention, and these deformations and combinations are still within the scope of protection of the present invention.

Claims

1. An intelligent and orderly charging system for electric vehicles, characterized in that: include: The load control unit is used to collect the charging data of each charging pile in real time, transmit the charging data of all charging piles to the power grid load control platform, receive the power adjustment instructions transmitted by the power grid load control platform, and dynamically adjust the charging power of each charging pile based on the power grid load, the available power of the charging pile and the power required by the user; The power grid load control platform is used to receive the charging data of all charging piles transmitted by the load control unit, compare the load power calculated based on the charging data with the rated power of the transformer, match the set power regulation strategy according to the comparison result, generate power regulation instructions and transmit them to the load control unit.

2. The intelligent and orderly charging system for electric vehicles according to claim 1, characterized in that: The charging data of the charging pile includes charging status, current, voltage and power parameters.

3. The intelligent and orderly charging system for electric vehicles according to claim 1, characterized in that: The load power calculated based on the charging data is compared with the rated power of the transformer, and the power regulation strategy set according to the comparison result includes: The ratio of the load power calculated according to the charging data to the rated power of the transformer is calculated, and when the calculated ratio reaches a set ratio threshold, a matching set power regulation strategy is performed.

4. The intelligent and orderly charging system for electric vehicles according to claim 1, characterized in that: The power regulation strategies for matching settings include: Determine whether there is a preset power adjustment strategy; if so, generate a corresponding power adjustment instruction according to the preset power adjustment strategy; otherwise proceed to the next step; Determine whether it is in the vehicle use period; if so, reduce the charging power of vehicles that arrive earlier in priority; otherwise, distribute the remaining load evenly.

5. The intelligent and orderly charging system for electric vehicles according to claim 4, characterized in that: Generating corresponding power adjustment instructions according to the preset power adjustment strategy includes: When the preset power regulation strategy is a power regulation strategy based on the user's car usage habits, the power consumption and charging demand of each user are predicted by establishing a user's car usage habit model, which is expressed as: Among them, E i is the predicted power consumption of vehicle i, E max is the maximum predicted power consumption among all vehicles, P i is the charging power of vehicle i, P max is the maximum charging power; Sort users by their power consumption and prioritize reducing the charging power of vehicles with lower power consumption.

6. The intelligent and orderly charging system for electric vehicles according to claim 4, characterized in that: Generating corresponding power adjustment instructions according to the preset power adjustment strategy includes: When the preset power adjustment strategy is a power adjustment strategy based on the user's vehicle usage time, the charging time that meets the user's power consumption demand is calculated according to the user's vehicle usage time prediction model, which is expressed as: Among them, T charge,i is the estimated charging time of vehicle i, T max is the charging time of the vehicle with the longest charging time among all vehicles, P i is the charging power of vehicle i, P max is the maximum charging power; The vehicles are sorted by charging time, and the charging power is reduced first for vehicles with longer charging times.

7. The intelligent and orderly charging system for electric vehicles according to claim 4, characterized in that: Generating corresponding power adjustment instructions according to the preset power adjustment strategy includes: When the preset power adjustment strategy is a power adjustment strategy based on the priority charging manually set by the user, the charging power is adjusted according to the charging priority manually set by the user, which is expressed as: P i =P max ×P priority，i Among them, P i is the charging power of vehicle i, P max is the maximum charging power, P priority,i It is charging priority.

8. The intelligent and orderly charging system for electric vehicles according to claim 4, characterized in that: Prioritizing the reduction of charging power for vehicles that arrive earlier includes: When the grid load is insufficient, the remaining load of the grid is evenly distributed, which is expressed as: Among them, P i is the charging power of vehicle i, P total is the total remaining power, N is the number of vehicles currently charging; When the grid load is seriously insufficient and cannot meet the equal distribution requirement, the charging power of electric vehicles that arrive earlier is preferentially reduced, which can be expressed as: P i =P max -(T i -T min )×δ Among them, P i is the charging power of vehicle i, P max is the maximum charging power, T ii is the arrival time of vehicle i, T min is the earliest arrival time, and δ is the ratio of vehicle charging power reduction.

9. The intelligent and orderly charging system for electric vehicles according to claim 4, characterized in that: The remaining load is evenly distributed including: When the grid load is within a safe range and the grid has sufficient power supply, the charging needs of all users are given priority and the charging power of each vehicle is maximized, which is expressed as: P i =P max , for all arriving vehicles, charge them in the order of arrival Among them, P i is the charging power of vehicle i, P max is the maximum charging power.

10. The intelligent and orderly charging system for electric vehicles according to claim 1, characterized in that: Power regulation instructions include charging power adjustment instructions, priority charging instructions, time-sharing charging instructions and power cutting instructions.

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