Control method for charging pile, control method for vehicle, charging pile and vehicle

Abstract

The invention provides a control method for a charging pile. The control method comprises the following steps that S1, at least one real-time monitoring parameter related to the charging process of a vehicle charged at the charging pile is obtained; s2, detecting a charging power limiting event according to the at least one real-time monitoring parameter, wherein the charging power limiting event indicates that the maximum charging power of the vehicle is actively limited to be lower than the rated output power of the charging pile by the vehicle end; and S3, under the condition that the charging power limiting event is detected, adaptive measures are taken for the charging process of the vehicle. The invention further provides a control method for the vehicle, a charging pile, the vehicle, a server and a computer program product. According to the invention, the behavior that the vehicle end actively limits the charging power is accurately identified and effectively dealt with, the problem that the turnover rate of the charging pile is reduced due to the deliberate prolonging of the charging time is avoided, and the overall operation efficiency of the charging pile is remarkably improved.

Description

Technical Field

[0001] The present application relates to a control method for a charging pile. The present application also relates to a control method for a vehicle, a charging pile, a vehicle, a server and a computer program product. Background Art

[0002] With the popularity of electric vehicles, users' demands for the charging process are becoming increasingly diverse, and many vehicles support personalized charging settings, such as actively limiting the maximum charging power. At present, some high-power charging piles have begun to implement an overtime occupancy fee policy, that is, if the vehicle does not leave the charging area in time after being fully charged, an additional fee must be paid. However, in order to avoid overtime fees, some users choose to artificially reduce the maximum charging power to extend the charging time. Although this behavior meets the user's parking needs, it leads to a decrease in the turnover rate and utilization efficiency of the charging piles, which has a negative impact on the operation of the charging piles.

[0003] At present, the technical means for detecting and responding to vehicles actively limiting charging power from the perspective of charging piles are still imperfect, resulting in deficiencies in the control of charging piles. Summary of the invention

[0004] The purpose of the present application is to provide a control method for a charging pile, a control method for a vehicle, a charging pile, a vehicle, a server and a computer program product to at least solve some of the problems in the prior art.

[0005] According to a first aspect of the present application, a control method for a charging pile is provided, the control method comprising the following steps:

[0006] Step S1, obtaining at least one real-time monitoring parameter related to a charging process of a vehicle charging at a charging pile;

[0007] Step S2, detecting a charging power limiting event according to the at least one real-time monitoring parameter, wherein the charging power limiting event indicates that the vehicle's maximum charging power is actively limited by the vehicle end to be lower than the rated output power of the charging pile; and

[0008] Step S3: When the charging power limitation event is detected, implementing adaptation measures for the charging process of the vehicle.

[0009] This application particularly includes the following technical concepts: This application avoids the problem of decreased charging pile turnover rate due to deliberate extension of charging time by accurately identifying and effectively responding to the behavior of the vehicle side actively limiting charging power, thereby significantly improving the overall operational efficiency of the charging pile. At the same time, this method can optimize the allocation of charging resources, reduce the waiting time of other vehicles in queues, and thus improve the user experience. In general, this application gives the charging pile the ability to actively monitor the charging power limitation behavior from the station side, effectively making up for the shortcomings of the existing technology in charging pile monitoring, and providing strong technical support for the intelligent development of charging infrastructure.

[0010] In an exemplary embodiment, the real-time monitoring parameter includes the actual output power of the charging pile, and step S2 includes: comparing the actual output power with the rated output power, and determining that a charging power limitation event has been detected when at least one of the following conditions is met: the actual output power is smaller than the rated output power by a predetermined degree, and the predetermined degree is particularly set to exceed the power drop caused by conventional power grid fluctuations; and / or the actual output power is less than the rated output power for a duration that exceeds a predetermined duration.

[0011] Therefore, by comparing and analyzing the actual output power with the rated output power, and combining the judgment conditions of power reduction and duration, the vehicle's active power limitation behavior can be distinguished from conventional grid fluctuations, thereby improving the accuracy and reliability of charging power limitation event detection.

[0012] In an exemplary embodiment, the real-time monitoring parameters include the actual output power of the charging pile, the actual charging current curve and / or the actual charging voltage curve of the charging pile, and the step S2 also includes: obtaining historical charging data of the vehicle and / or vehicles of the same model, the historical charging data including the historical actual charging power, historical charging current curve and / or historical charging voltage curve measured under the same charging environment conditions; and, comparing the real-time monitoring parameters with the historical charging data, and detecting charging power limitation events based on the deviation between the real-time monitoring parameters and the historical charging data.

[0013] Therefore, by comparing real-time data with historical charging data, it is possible to identify whether the vehicle's current charging behavior is significantly different from the previous conventional charging mode, thereby determining whether the vehicle has temporarily and actively limited the charging power. By considering the group data of the same model, it can more comprehensively reflect the charging characteristics of the model under different environmental conditions, effectively avoiding misjudgments caused by too little historical sample data for individual vehicles, and improving the accuracy of the judgment.

[0014] In an exemplary embodiment, the control method further includes the following steps: checking whether the charging pile end implements an output power limiting operation, wherein the charging power limiting event is detected in step S2 only when the charging pile end does not implement any output power limiting operation.

[0015] In this way, the interference caused by the power limiting operation at the charging pile end to the judgment is effectively eliminated, and the misjudgment rate is reduced.

[0016] In an exemplary embodiment, the control method further comprises the following step: checking whether there are any grid power limiting measures, wherein the detection of the charging power limiting event in step S2 is allowed only when no grid power limiting measures are detected.

[0017] This can prevent the output power reduction caused by power restriction in the power grid from being misjudged as an active restriction behavior of the vehicle.

[0018] In an exemplary embodiment, the control method further includes the following steps: detecting whether the operating state of the charging pile itself is normal, wherein the charging power limitation event is detected in step S2 only when the operating state of the charging pile is normal.

[0019] In this way, misjudgment caused by charging pile failure or abnormal status can be avoided, thereby improving the credibility of vehicle-side charging behavior assessment.

[0020] In an exemplary embodiment, in step S1, the real-time monitoring parameter is obtained by measuring the sensor of the charging pile, and / or the real-time monitoring parameter is received through communication interaction with the vehicle.

[0021] Therefore, using the sensors of the charging pile to directly measure relevant parameters can ensure the real-time and accuracy of the data and reduce dependence on external devices. By communicating with the vehicle to receive parameters, more detailed information on the vehicle side can be obtained, thereby better understanding the vehicle configuration requirements.

[0022] In an exemplary embodiment, in step S3, the adaptation measures include adjusting the billing strategy of the charging pile based on the charging power limitation event, and in particular adjusting the billing strategy of the charging pile through at least one of the following items: charging additional occupancy fees: charging an overtime occupancy fee for the extended charging time caused by the charging power limitation event; adjusting the billing mode: adjusting the mode of charging by electricity to a mode of charging by charging time; adjusting the billing gear: selecting the corresponding billing gear for billing according to the degree of power limitation reflected by the charging power limitation event, the greater the power limitation degree, the higher the rate corresponding to the billing gear; and / or, superimposed charges: calculating the rate superposition coefficient according to the degree of power limitation reflected by the charging power limitation event, and multiplying it by the original tariff.

[0023] Therefore, on the one hand, the problem of reduced operating efficiency and profit income of charging piles due to the vehicle side actively extending the charging time is avoided; on the other hand, this billing model is more fair and reasonable, and can effectively encourage users to reasonably adjust the charging settings and reduce unnecessary power restrictions, thereby achieving a dual improvement in the operating efficiency of the charging pile and user experience.

[0024] In an exemplary embodiment, in step S3, the adaptation measure further includes: sending a prompt message about the detected charging power limitation event to a mobile terminal of a user of the vehicle, wherein the prompt message includes at least one of the following:

[0025] ● Require vehicle users to remove restrictions on maximum charging power;

[0026] Notify the user of the vehicle of the adjustment in the charging policy caused by the charging power limit event; and

[0027] / or

[0028] Provide operational guidance for removing the maximum charging power limit;

[0029] In step S3, the adaptation measure also includes: if the user removes the restriction on the maximum charging power within a specified time, the adjustment of the billing strategy is not implemented.

[0030] Therefore, this method gives users full right to know and choose, avoids unnecessary billing adjustments as much as possible, and enhances users' freedom of control over the charging process. This not only optimizes the operational efficiency of charging piles, but also significantly improves user experience.

[0031] According to a second aspect of the present application, a control method for a vehicle is provided, the control method comprising the following steps:

[0032] Step S100, obtaining relevant information of adaptation measures that have been implemented or to be implemented by the charging pile for the charging process of the vehicle, wherein the adaptation measures are implemented according to the control method described in the first aspect of the present application;

[0033] Step S200: Execute at least one response operation based on the relevant information of the adaptation measure.

[0034] This application also includes the following technical concepts: by effectively coordinating the control scheme on the vehicle side with the charging pile, users can flexibly adjust the charging plan according to actual conditions, reduce the extended charging time and additional costs caused by unnecessary vehicle-side power limitations, thereby achieving intelligent interaction and collaborative optimization between the vehicle and the charging pile.

[0035] In an exemplary embodiment, the at least one response operation includes: automatically removing the limitation on the maximum charging power of the vehicle, and / or, outputting through the vehicle computer and / or sending a request to the user's mobile terminal to suggest to the user to remove the limitation on the maximum charging power.

[0036] This provides the possibility of removing the limitation on the maximum charging power, thereby avoiding user dissatisfaction caused by additional charges.

[0037] In an exemplary embodiment, the at least one response operation also includes: outputting vehicle configuration options through the vehicle computer and / or the user's mobile terminal, and adjusting the degree of limitation of the vehicle's maximum charging power according to the vehicle configuration options selected by the user, and the vehicle configuration options include at least one of the following: providing estimated charging amounts corresponding to different estimated charging times; and / or providing estimated charging amounts corresponding to different power limitation degrees.

[0038] As a result, users can flexibly choose charging plans based on their own needs and acceptable charging levels, achieve personalized charging, optimize charging costs and time, and significantly improve user experience.

[0039] According to a third aspect of the present application, a charging pile is provided, wherein the charging pile comprises a processor and a memory, the memory stores computer program instructions, and when the computer program instructions are executed by the processor, the processor is capable of executing the control method described in the first aspect of the present application.

[0040] According to a fourth aspect of the present application, a vehicle is provided, wherein the vehicle includes a processor and a memory, the memory stores computer program instructions, and when the computer program instructions are executed by the processor, the processor is capable of executing the control method described in the second aspect of the present application.

[0041] According to the fifth aspect of the present application, a server is provided, wherein the server includes a processor and a memory, the memory stores computer program instructions, and when the computer program instructions are executed by the processor, the processor is capable of executing the control method described in the first and / or second aspect of the present application.

[0042] According to a sixth aspect of the present application, a computer program product comprises computer program instructions, wherein the computer program instructions, when executed by a processor, enable the processor to execute the control method according to the first and / or second aspect of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] The present invention will be described in more detail below with reference to the accompanying drawings, so that the principles, features and advantages of the present invention can be better understood. The accompanying drawings include:

[0044] Figure 1 A schematic diagram showing a vehicle charging system architecture according to an exemplary embodiment of the present application is shown;

[0045] Figure 2 A flow chart of a control method for a charging pile according to an exemplary embodiment of the present application is shown;

[0046] Figure 3 A flow chart of a control method for a charging pile according to another exemplary embodiment of the present application is shown;

[0047] Figure 4 A flow chart showing a control method for a vehicle according to an exemplary embodiment of the present application is shown;

[0048] Figure 5A and Figure 5B A schematic diagram showing the execution of response operations through the vehicle computer interface. DETAILED DESCRIPTION

[0049] In order to make the technical problems, technical solutions and beneficial technical effects to be solved by the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and multiple exemplary embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application, rather than to limit the scope of protection of the present application.

[0050] Figure 1 A schematic diagram of a charging system architecture 1 for a vehicle 2 according to an exemplary embodiment of the present application is shown.

[0051] exist Figure 1 In the architecture 1 shown, the vehicle 2 is electrically connected to the charging pile 3 via a charging interface and a cable 7 to realize the charging function. In this context, the vehicle 2 can be a pure electric vehicle (BEV), a hybrid electric vehicle (HEV), a plug-in hybrid electric vehicle (PHEV), an extended-range electric vehicle (EREV) or a fuel cell electric vehicle (FCEV). The user of the vehicle can adjust the charging behavior through the vehicle system or the mobile terminal 6. The adjustment content includes not only the expected charge amount of the vehicle 2, the SOC range to be charged and / or the expected charging time, but also covers the limitation of the maximum charging power of the vehicle 2 (such as whether to implement the limitation and the expected degree of limitation).

[0052] The charging pile 3 can be any type of non-vehicle charging pile, including fast charging piles and slow charging piles, and is particularly related to commercial charging piles, such as charging piles 3 in public parking lots, highway service areas, shopping centers, residential areas and other places. Each charging pile 3 can be equipped with an independent charging control device 30, which has a processor 31 and a memory 32, or multiple charging piles 3 can also be managed by the charging station in a unified manner, thereby sharing the processor 31 and the memory 32. The memory 32 stores computer program instructions, which can be stored in a computer-readable storage medium, such as a hard disk, a memory, a flash memory card, etc. The processor 31 can be a central processing unit or other general-purpose processor. When these instructions are executed by the processor, the charging pile 3 can realize a variety of functions, such as the selection and adjustment of the billing strategy, the wireless communication function, the real-time monitoring and feedback of the charging status, etc. In addition, the processor 31 can also be configured to perform conventional control operations such as activation and deactivation of the charging pile 3 and / or the charging station, dynamic adjustment of the charging power, user authentication and authority management, and interaction with the power grid.

[0053] The charging pile 3 may also include various types of sensors 33, such as current sensors, voltage sensors, temperature sensors, power sensors, etc. These sensors 33 are configured to measure real-time monitoring parameters related to the charging process (such as charging current, charging voltage, actual output power, ambient temperature and / or coupler temperature, etc.) during the charging of the vehicle 2, and transmit the current values ​​to the processor 31 of the charging pile 3. The processor 31 can detect the charging power limitation event caused by the vehicle end based on these real-time monitoring parameters, and trigger adaptation measures when necessary.

[0054] The charging pile 3 may also be equipped with a communication interface 34 for communicating with the vehicle 2. With the communication interface 34, the charging pile 3 can achieve communication through the PLC connection integrated in the charging cable, or can be connected to the vehicle 2 or the server 5 through wireless methods such as Wi-Fi, 4G / 5G network, etc. Thus, the charging pile 3 can transmit the billing strategy corresponding to different power limit levels to the vehicle 2, send a request to release the charging power limit, and receive the historical charging data of the vehicle 2 and the charging plan selection information input by the user.

[0055] Accordingly, the vehicle 2 may also include a charging control device 20, which has a processor 21 and a memory 22, in which computer program instructions are stored, and these instructions may be stored in a computer-readable storage medium, such as a hard disk, a memory, a flash memory card, etc. The processor 21 may be a central processing unit or other general-purpose processor. When the computer program instructions are executed by the processor 21, the processor 21 is capable of executing a control method for the vehicle 2. As an example, the processor 21 may be configured to automatically adjust the charging control operation of the vehicle 2, or to notify the user of specific content. The purpose is to make the user aware of the consequences of the charging power limitation behavior as much as possible, reduce user losses, and provide more humane and personalized charging options.

[0056] The vehicle 2 may also be equipped with a communication interface 24, through which the vehicle 2 can be connected to the charging pile 3 and the server 5 in a wired or wireless manner, and can also be connected to the user's mobile terminal 6 (such as a smart phone, tablet computer, wearable device, laptop computer, etc.) through a variety of communication methods (such as Wi-Fi, 4G / 5G network, near field communication, WLAN, Bluetooth, ZigBee, etc.). In this way, relevant information about vehicle configuration options or charging pile adaptation measures can be output to the user, and the user can remotely adjust the charging configuration of the vehicle 2 through a mobile application (App).

[0057] Vehicle 2 can be equipped with a variety of sensors 23 for measuring real-time monitoring parameters related to the charging process. If the configuration or permission of vehicle 2 allows, these measurement results can be transmitted to charging pile 3 through communication interface 24. However, if the configuration or permission of vehicle 2 does not allow, vehicle 2 will not actively provide charging power limit information to charging pile 3. At this time, charging pile 3 can only rely on its own measurement means to identify the power limit behavior of the vehicle end.

[0058] exist Figure 1 In the figure, the server 5 can be a server of a vehicle manufacturer, a server of a charging pile operator (charging station background), or both. The server 5 can also be equipped with a control device 50, which has a processor 51 and a memory 52, and the memory 52 stores computer program instructions. When these instructions are executed by the processor 51, the processor 51 is able to execute the control method of the charging pile 3 and / or the vehicle 2. For example, the processor 51 can remotely generate adaptation measures and transmit them to the charging pile 3 for application in this charging service. In addition, the processor 51 can also generate a response operation for the vehicle 2 and transmit it to the vehicle 2 to adjust the charging configuration of the vehicle 2.

[0059] Figure 2 FIG. 1 is a flow chart of a control method for a charging pile according to an exemplary embodiment of the present application. The method comprises steps S1, S2 and S3, and can be used, for example, to Figure 1The charging pile and / or server shown are executed.

[0060] In step S1 , at least one real-time monitoring parameter related to a charging process of a vehicle being charged at a charging pile is acquired.

[0061] Real-time monitoring parameters can be directly measured by the sensors of the charging pile, including charging current, voltage, output power and ambient temperature, etc. They can also be obtained by processing the sensor data (such as accumulation, averaging, filtering, etc.). Alternatively, they can also be obtained through communication interaction with the vehicle, such as receiving battery status information and charging demand information from the vehicle's battery management system (BMS). This information may contain configuration information about charging power limits, and the charging pile can use this information to assist in determining whether the vehicle has limited the maximum charging power.

[0062] For example, when the charging gun of the charging pile is connected to the charging interface of the vehicle and charging is started, the charging pile will automatically start the collection of real-time monitoring parameters. This collection can be continuous, periodic, or triggered according to preset conditions.

[0063] In step S2, a charging power limiting event is detected according to at least one real-time monitoring parameter, wherein the charging power limiting event indicates that the maximum charging power of the vehicle is actively limited by the vehicle end to be lower than the rated output power of the charging pile.

[0064] "The maximum charging power is actively limited by the vehicle" means that the vehicle actively reduces its maximum charging power through its own battery management system (BMS) or other control units according to user settings, battery status and / or safety policies. For example, users can manually set the charging power through the vehicle interface or mobile terminal to meet personalized needs for charging speed or duration; or the vehicle may automatically limit the maximum charging power based on factors such as protecting battery life, optimizing charging efficiency, and adapting to environmental conditions (such as too high or too low temperature). This charging power limitation behavior is made by the vehicle based on internal logic or user settings.

[0065] In one embodiment, the charging power limitation event can be detected by comparing the actual output power of the charging pile with the rated output power. For example, when the actual output power is lower than the rated output power by a predetermined degree (for example, lower than 20% or 30% of the rated output power), and / or when the actual output power is lower than the rated output power for a duration exceeding a predetermined duration (for example, longer than 10 minutes or 15 minutes), the detection of the charging power limitation event can be confirmed. In particular, the predetermined degree of power drop is set to be higher than the power drop caused by conventional power grid fluctuations (usually less than 20%), and the predetermined duration of low power is set to be longer than the short-term fluctuation duration caused by conventional power grid fluctuations (usually shorter than 10 minutes), thereby ensuring the accuracy of the detection results. For example, when the actual output power is lower than 20% of the rated output power and lasts for more than 10 minutes, the detection of the charging power limitation event is confirmed. This can effectively eliminate the situation where the temporary output power is too low due to unstable grid voltage.

[0066] In one embodiment, the charging power limitation event can be detected by comparing the real-time monitoring parameters of the charging pile with the historical charging data of the vehicle. Specifically, the charging records of the vehicle user can be accessed to retrieve the historical charging data of the vehicle and / or vehicles of the same model under the same charging environment conditions (such as ambient temperature, initial SOC, SOC range to be charged, and battery health status). This includes, for example, historical actual charging power, historical charging current curves, and / or historical charging voltage curves. Subsequently, the real-time monitoring parameters are compared and analyzed with these historical charging data. If there is a predetermined deviation between the real-time monitoring parameters and the historical data, it can be determined that a charging power limitation event has been detected.

[0067] The above deviation can be quantified as follows:

[0068] Changes in the shape of the voltage or current curve (such as entering the constant voltage phase early);

[0069] The integral of the difference between the actual output power and the historical maximum allowable power exceeds the threshold;

[0070] Changes in charge rate (e.g., lower charge rate at low temperatures).

[0071] The real-time monitoring parameters can be compared with the average state of the historical data (representing typical charging behavior) or the highest curve in the historical data (representing the maximum possible value). If the real-time monitoring parameters deviate from these historical reference curves, indicating that the current charging characteristics are limited, it can be determined that a charging power limitation event has been detected. For example, if the real-time charging curve enters the constant voltage stage earlier than the historical curve and the charging current drops earlier, or the real-time current curve drops earlier and more than the historical curve, this may indicate that the vehicle actively limits the maximum charging power. In order to quantify this deviation, a variety of algorithms and statistical methods can be used, such as calculating the average difference between the two curves, the degree of dispersion, or analyzing the scaling and offset of time series data.

[0072] In one embodiment, the actual output power can be compared with the rated output power in real time to preliminarily determine whether the vehicle has limited the maximum charging power, and then the credibility of this judgment result can be further verified in combination with historical charging data. For example, only when the historical charging data also shows that the current charging power is significantly lower than the historical normal level or the maximum level, is it confirmed that a charging power limitation event has been detected. In addition, a comprehensive comparison and analysis can also be performed directly from multiple angles (including power, charging current curve, and charging voltage curve, etc.) based on the historical charging data. The final conclusion is only drawn when all relevant parameters consistently indicate that the vehicle has limited the maximum charging power.

[0073] In one embodiment, if it is found in step S2 that the vehicle side actively limits the maximum charging power, but the charging power after limitation is still higher than or equal to the rated output power of the charging pile, it is not considered that a charging power limitation event is detected.

[0074] In step S3 , when a charging power limitation event is detected, adaptation measures are implemented for the charging process of the vehicle.

[0075] In one embodiment, the adaptation measure may include adjusting the charging pile's charging strategy based on the charging power limit event. For example, the charging pile's charging strategy may be adjusted by at least one of the following:

[0076] ·Additional occupancy fee: For the extension of charging time caused by charging power limitation events, an overtime occupancy fee is charged. For example, based on the SOC range to be charged, the theoretical charging time t1 when the user does not limit the maximum charging power, and the actual charging time t2 after limiting the maximum charging power are calculated. On the basis of the original charging standard, an overtime occupancy fee is added for the extended portion of the charging time Δt=t2-t1. The charging standard for the overtime occupancy fee can be dynamically adjusted according to the usage and time period of the charging pile.

[0077] Adjust the billing mode: adjust the billing mode based on the amount of electricity (charged degrees or SOC range to be charged) to the charging time (such as minutes or hours). In addition, a combined billing mode of electricity and time can also be adopted, for example, charging by electricity first, and then charging according to the actual charging time.

[0078] Adjust the billing level: According to the degree of power limitation reflected by the charging power limitation event, select the corresponding billing level for billing. The greater the power limitation, the higher the rate corresponding to the billing level. For example, the billing levels can be divided into the following levels:

[0079] -Unlimited: The vehicle has no maximum charging power limit and is charged according to normal charging standards.

[0080] - Mild restriction: The vehicle's maximum charging power is limited to 30% and the rate is increased by 10%.

[0081] - Moderate restriction: The vehicle is limited to a maximum charging power between 30%-50% and the rate is increased by 20%.

[0082] - Severe restriction: The vehicle is restricted to a maximum charging power of more than 50%, and the rate is increased by 30%.

[0083] · Superimposed charges: Calculate the rate superimposed coefficient based on the degree of power limitation reflected by the charging power limitation event and multiply it by the original rate. For example, the original charging rate of a vehicle is 1.5 yuan per kWh. If the vehicle limits the maximum charging power to 40%, the rate superimposed coefficient is 1.2. Therefore, the adjusted rate is 1.5 yuan per kWh × 1.2 = 1.8 yuan.

[0084] In one embodiment, the adaptation measure may further include sending a prompt message about the detected charging power limitation event to the vehicle computer and / or the mobile terminal of the vehicle user. The prompt message includes at least one of the following:

[0085] Notify the vehicle user of the adjustment in the charging policy that has been or will be caused by the charging power limit event. For example, the prompt message may display "Because the vehicle is currently limited to the maximum charging power, the charging time is extended and the charging fee will increase from [X] to [Y] yuan. If the power limit is lifted, the additional fee can be avoided";

[0086] Require vehicle users to remove restrictions on maximum charging power;

[0087] Provide guidance on how to remove the maximum charging power limit. For example, provide specific steps (guide the user to click Menu > Settings > Adjust Power to a Higher Value).

[0088] In one embodiment, the adaptation measure may also include directly sending a control instruction to the vehicle to release the maximum charging power limit. The control instruction may trigger the vehicle to automatically perform the power limit release operation, or perform this operation after the user confirms.

[0089] In one embodiment, the adaptation measures may also include: if the user removes the limit on the maximum charging power within the specified time, the adjustment of the billing strategy will not be implemented. For example, if the user removes the power limit through the vehicle's mobile application or vehicle system during the charging process, the charging pile will maintain the original charging standard. However, if the user removes the limit, but the vehicle has been charged at the limited power for a period of time before the limit is removed, the charging pile can make partial billing strategy adjustments for the timeout caused by the power limit.

[0090] Figure 3 FIG. 2 shows a flow chart of a control method for a charging pile according to another exemplary embodiment of the present application. Figure 3 In the embodiment shown, Figure 2 The method shown further comprises an additional step S2' before step S2.

[0091] In the additional step S2', at least one pre-check step is performed to check whether there are interference factors for the detection of the charging power limitation event. If there are no such interference factors, step S2 is allowed to be executed, or it is allowed to conclude in step S2 that a charging power limitation event has been detected. On the contrary, if there are interference factors, for example, step S2 is not continued, but a return to step S1 is made.

[0092] In one embodiment, it can be checked in the additional step S2' whether the output power limiting operation is implemented by the charging pile end. Only when the charging pile end does not implement any output power limiting operation, it is determined that there is no interference factor. For example, modern intelligent charging piles can dynamically adjust the charging power according to the real-time status of the power grid. During specific periods such as nighttime, a large number of electric vehicles are charged together, which will cause the load of the power grid to increase sharply. At this time, the charging pile system will automatically reduce the output power to reduce the burden on the power grid. In addition, to prevent the internal circuit of the charging pile from overloading, the system will dynamically allocate power according to the current load situation. When multiple charging piles are working at the same time, the system uses dynamic load balancing technology to reasonably allocate the output power of each charging pile to ensure that the total power does not exceed the allowable range of the power grid. These situations are all behaviors of limiting power at the charging pile end. Therefore, in the additional step S2', self-checks can be performed on these behaviors. Once found, it is confirmed that there are interference factors, thereby avoiding misjudgment of charging power limiting events at the vehicle end.

[0093] In one embodiment, it is possible to check in the additional step S2' whether there are any power-limiting measures on the power grid. Only when no power-limiting measures on the power grid are detected, it is determined that there are no interference factors. Power-limiting measures on the power grid refer to power restrictions or power reduction measures that are proactively implemented by the power grid operator or management system on certain areas, users or equipment in order to ensure the safe and stable operation of the power grid, optimize the allocation of power resources or cope with the peak load of the power grid under specific circumstances. Such measures are usually implemented through dispatch instructions, smart grid management systems or demand response mechanisms to reduce the output power of equipment, suspend the operation of some power-consuming equipment or adjust the user's power consumption plan. In the additional step S2', the power-limiting measures on the power grid can be judged by interaction with the power grid operator, configuration inspection of charging piles, collection of power grid load data, etc. Once found, the existence of interference factors is confirmed.

[0094] In one embodiment, it is possible to check in additional step S2' whether the operating state of the charging pile itself is normal, and only when the operating state of the charging pile is normal, it is determined that there is no interference factor. For example, the charging pile itself or its background has a fault diagnosis function, which can determine whether the current state is idle, abnormal (faulty) or normal. If the charging pile itself is in an abnormal state, further collected parameters may lead to misjudgment. Therefore, before actually judging the power limit, the charging pile itself can be self-diagnosed to eliminate interference factors.

[0095] According to actual needs, one or more of the above-mentioned interference factor check operations can be performed successively or simultaneously in the additional step S2'. For example, you can first check whether the output power limitation operation is implemented at the charging pile end, and then check whether there are power grid power limitation measures, or perform these two checks at the same time. In addition, you can also check whether the operating status of the charging pile itself is normal. The execution order and combination of these inspection operations can be flexibly adjusted according to the specific scenario to ensure that all possible interference factors are eliminated as much as possible before executing step S2, so as to improve the accuracy and reliability of charging power limitation event detection.

[0096] It should be noted that although the additional step S2' is Figure 3 In the figure, it is shown as being executed before step S2, but in fact, step S2' may also be executed in parallel with step S2, or before step S1.

[0097] Figure 4 FIG. 1 is a flow chart of a control method for a vehicle according to an exemplary embodiment of the present application. The method includes steps S100 and S200, and can be performed by means of Figure 1 The vehicle and / or server execution shown.

[0098] In step S100, relevant information about the adaptation measures that have been implemented or to be implemented by the charging pile for the charging process of the vehicle is obtained. These adaptation measures are based on Figure 2 or Figure 3 The control method is implemented.

[0099] The relevant information of the adaptation measures can be obtained through the communication connection between the vehicle and the charging pile, for example, the vehicle can actively query the charging pile or retrieve it from the backend server of the charging pile. If there is an adaptation measure, the vehicle can further request detailed information. In addition, the charging pile can also send relevant information to the vehicle when it detects a charging power limit event on the vehicle side, without the need for the vehicle to actively request it.

[0100] The relevant information of the adaptation measures may include: adjustment schemes of charging strategies corresponding to multiple power limit levels, power limit release requests or vehicle control instructions, etc. The specific content and form of the adaptation measures have been combined with the above. Figure 2 It has been introduced in detail and will not be repeated here.

[0101] In step S200, at least one response operation is performed based on the relevant information of the adaptation measure.

[0102] In one embodiment, the relevant information of the adaptation measures involves a request or instruction for lifting the charging power limit issued by the charging pile. At this time, the response operation may include: automatically lifting the maximum charging power limit of the vehicle, or outputting a prompt through the vehicle computer and / or sending a request to the user's mobile terminal to suggest the user to lift the maximum charging power limit. The response operation may also include: automatically lifting the maximum charging power limit after obtaining user confirmation.

[0103] In another embodiment, the relevant information of the adaptation measure involves the adjustment content of the billing strategy. In this case, the response operation may include: sending specific content about the adjustment of the billing strategy to the user through the vehicle system and / or the user's mobile terminal. Such content may include, but is not limited to: notification of increase in overtime occupancy fee, change in billing mode, adjustment of billing gear, superimposed charging, and information such as the amount of charge corresponding to different power limitation levels.

[0104] In another embodiment, the relevant information of the adaptation measure involves the adjustment content of the billing strategy, and the response operation may also include: outputting the vehicle configuration options through the vehicle computer and / or the user's mobile terminal, and adjusting the degree of limitation of the maximum charging power of the vehicle according to the vehicle configuration options selected by the user. The vehicle configuration options may include, for example: the estimated charging amount corresponding to different estimated charging times; and / or the estimated charging amount corresponding to different power limitation degrees.

[0105] In another embodiment, the relevant information of the adaptation measure relates to the adjustment content of the billing strategy, and the response operation may also include: generating user preference settings based on the vehicle configuration options selected by the user multiple times (for example, by analyzing the user's historical behavior patterns). The user preference settings include, for example, the degree of charging restriction associated with the user's identity, charging location, and charging period. When the user parks the vehicle at a charging station at a specific location during a specific period of time, the system will automatically apply the user preference settings without the user having to repeatedly select the vehicle configuration options.

[0106] For example, the system can generate personalized user preference settings by analyzing the user's charging habits at different time periods (such as weekdays and weekends) and different charging locations (such as charging piles near shopping malls and near homes). If the user goes to charge near a shopping mall on weekends, the system will automatically recommend a charging mode with "longer occupancy time but higher charges" to meet the user's parking needs; when charging near home, the system will recommend a "fast and economical" charging mode to help users save time and money. The system will automatically adjust the vehicle's maximum charging power limit based on these habits to meet the user's personalized needs.

[0107] In addition, user preferences can also provide customized charging power limit recommendations based on the charging piles and parking space availability at the charging location. For example, in popular locations where parking spaces are scarce, the system will automatically recommend a higher charging power limit to meet the user's parking needs by appropriately extending the charging time; while in locations with ample parking spaces, the system will automatically recommend a lower charging power limit to improve charging efficiency and reduce parking time. In this way, the system can provide more flexible and personalized services based on the user's actual needs and charging environment.

[0108] Figure 5A and Figure 5B A schematic diagram showing the execution of response operations through the vehicle computer interface.

[0109] exist Figure 5A In the car interface shown, a pop-up dialog box will display a prompt message: "It is recommended to lift the limit on the maximum charging power of the vehicle, otherwise the charging fee will increase." This prompt message can be triggered by the vehicle according to the charging pile's billing strategy adjustment, or it can be triggered directly by the charging pile. There are two buttons "Yes" and "No" below the dialog box for users to choose, and the vehicle will automatically adjust the charging power setting according to the user's choice. For example, if the user selects "Yes", the vehicle will automatically lift the limit on the maximum charging power, thereby avoiding the high occupancy fee caused by power restrictions.

[0110] It should be pointed out that although Figure 5A The prompt message is displayed in the form of a car interface, but the prompt message can also be displayed through the user's mobile terminal.

[0111] exist Figure 5B The vehicle configuration options corresponding to different charging amount levels are shown in the vehicle interface shown. In this example, three levels are provided, each corresponding to a different degree of power restriction and estimated charging time.

[0112] Specifically, the first level corresponds to a charge of 10 yuan, a power limit of 30%, and an estimated charging time of 20 minutes. The second level corresponds to a charge of 12 yuan, a power limit of 40%, and an estimated charging time of 40 minutes. The third level corresponds to a charge of 15 yuan, a power limit of 50%, and an estimated charging time of 60 minutes. As the charge amount increases, the power limit gradually increases, and the estimated charging time is also extended accordingly. This grading method allows users to intuitively understand the charging standards corresponding to different charging times.

[0113] In the car interface, a sliding switch is also provided, so users can flexibly choose the appropriate charging plan according to their needs. For example, if the user needs to park the vehicle for a long time, he can choose a higher charging level; if the user wants to complete the charging quickly, he can choose a lower charging level. Figure 5B In the illustrated embodiment, the user has selected a first level of vehicle configuration options, such as by sliding a switch.

[0114] In addition, in order to further simplify user operations, the interface can only display the charge amount and estimated charging time, while hiding the display of the power limit. The system will automatically calculate and set the most appropriate charging power limit based on the charge amount or estimated charging time selected by the user. In this way, users do not need to manually adjust the charging power, and the operation process is more concise, efficient and user-friendly.

[0115] It should be understood that the methods of various embodiments of the present application can be implemented by computer programs / software. These software can be loaded into the working memory of the processor and used to execute the methods according to various embodiments of the present application when running.

[0116] It should be understood that the same or similar parts between the various embodiments in this specification can be referenced to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the device embodiment, since its control logic basically corresponds to the method embodiment, the description is relatively brief, and the relevant parts can refer to the partial description of the method embodiment.

[0117] According to another embodiment of the present application, a computer program product having computer program instructions is provided, wherein the computer program instructions are configured to execute the method according to each embodiment of the present application when the computer program product is run on a computer or stored on a computer-readable storage medium (such as a CD-ROM). The machine-readable storage medium is, for example, an optical storage medium or a solid-state medium supplied together with other hardware or as part of other hardware.

[0118] Although the specific embodiments of the present application are described in detail herein, they are provided for the purpose of explanation only and should not be considered to limit the scope of the present application. Various substitutions, changes and modifications may be conceived without departing from the spirit and scope of the present application.

Claims

1. A control method for a charging pile (3), the control method comprising the following steps: Step S1, obtaining at least one real-time monitoring parameter related to a charging process of a vehicle (2) being charged at a charging pile (3); Step S2, detecting a charging power limiting event according to the at least one real-time monitoring parameter, wherein the charging power limiting event indicates that the maximum charging power of the vehicle (2) is actively limited by the vehicle end to be lower than the rated output power of the charging pile (3); as well as Step S3, when the charging power limitation event is detected, implementing adaptation measures for the charging process of the vehicle (2).

2. The control method according to claim 1, wherein: The real-time monitoring parameter includes the actual output power of the charging pile (3), and the step S2 includes: comparing the actual output power with the rated output power, and determining that a charging power limit event is detected when at least one of the following conditions is met: The actual output power is smaller than the rated output power by a predetermined degree, wherein the predetermined degree is particularly set to exceed the power reduction caused by conventional power grid fluctuations; and / or The actual output power is less than the rated output power for a duration exceeding a predetermined duration.

3. The control method according to claim 1 or 2, wherein: The real-time monitoring parameters include the actual output power of the charging pile (3), the actual charging current curve and / or the actual charging voltage curve of the charging pile (3), and step S2 further includes: Acquiring historical charging data of the vehicle (2) and / or vehicles of the same model, the historical charging data comprising historical actual charging power, historical charging current curve and / or historical charging voltage curve measured under the same charging environment conditions; and The real-time monitoring parameters are compared with the historical charging data, and the charging power limit event is detected based on the deviation between the real-time monitoring parameters and the historical charging data.

4. The control method according to any one of claims 1 to 3, wherein: The control method further comprises the following steps: checking whether the charging pile end has implemented an output power limiting operation, wherein the charging power limiting event is detected in step S2 only when the charging pile end has not implemented any output power limiting operation.

5. The control method according to any one of claims 1 to 4, wherein: The control method further comprises the following step: checking whether there are any grid power limiting measures, wherein the detection of the charging power limiting event in step S2 is allowed only when no grid power limiting measures are detected.

6. The control method according to any one of claims 1 to 5, wherein: The control method further comprises the following steps: detecting whether the operating state of the charging pile (3) itself is normal, wherein the charging power limiting event is detected in step S2 only when the operating state of the charging pile (3) is normal.

7. The control method according to any one of claims 1 to 6, wherein: In step S1, the real-time monitoring parameters are obtained through sensor measurements of the charging pile (3), and / or the real-time monitoring parameters are received through communication interaction with the vehicle (2).

8. The control method according to any one of claims 1 to 7, wherein: In step S3, the adaptation measure comprises adjusting the charging strategy of the charging pile (3) based on the charging power limitation event, in particular adjusting the charging strategy of the charging pile (3) by at least one of the following: Additional occupancy fee: If the charging time is extended due to charging power limitation events, an overtime occupancy fee will be charged; Adjust the billing mode: adjust the billing mode based on electricity consumption to the billing mode based on charging time; Adjust the billing gear: select the corresponding billing gear for billing according to the power limitation degree reflected by the charging power limitation event, the greater the power limitation degree, the higher the rate corresponding to the billing gear; and / or Superimposed charges: Calculate the rate superimposed factor based on the degree of power limitation reflected by the charging power limitation event and multiply it by the original tariff.

9. The control method according to any one of claims 1 to 8, wherein: In step S3, the adaptation measure further comprises: sending a prompt message about the detected charging power limitation event to a mobile terminal (6) of a user of the vehicle (2), wherein the prompt message comprises at least one of the following: ● Request the user of vehicle (2) to remove the restriction on the maximum charging power; Notify the user of the vehicle (2) of the adjustment of the charging policy caused by the charging power limitation event; and / or Provide operational guidance for removing the maximum charging power limit; In step S3, the adaptation measure also includes: if the user removes the restriction on the maximum charging power within a specified time, the adjustment of the billing strategy is not implemented.

10. A control method for a vehicle (2), the control method comprising the following steps: Step S100, obtaining relevant information of adaptation measures that have been implemented or to be implemented by the charging pile (3) for the charging process of the vehicle (2), wherein the adaptation measures are implemented according to the control method described in any one of claims 1 to 9; Step S200: Execute at least one response operation based on the relevant information of the adaptation measure.

11. The control method according to claim 10, wherein: The at least one response operation comprises: Automatically remove the limitation on the maximum charging power of the vehicle (2), and / or The vehicle computer outputs and / or sends a request to the user's mobile terminal (6) to suggest that the user remove the restriction on the maximum charging power.

12. The control method according to claim 10 or 11, wherein: The at least one response operation further includes: outputting a vehicle configuration option through the vehicle computer and / or the user's mobile terminal (6), and adjusting the degree of limitation of the maximum charging power of the vehicle (2) according to the vehicle configuration option selected by the user, wherein the vehicle configuration option includes at least one of the following: Providing estimated charging amounts corresponding to different estimated charging times; and / or Provides estimated charge amounts corresponding to different levels of power limitation.

13. A charging pile (3), wherein: The charging pile (3) comprises a processor (31) and a memory (32), wherein the memory (32) stores computer program instructions, and when the computer program instructions are executed by the processor (31), the processor (31) is capable of executing the control method according to any one of claims 1 to 9.

14. A vehicle (2) wherein: The vehicle (2) comprises a processor (21) and a memory (22), wherein the memory (22) stores computer program instructions, and when the computer program instructions are executed by the processor (21), the processor (21) is capable of executing the control method according to any one of claims 10 to 12.

15. A server (5), wherein: The server (5) comprises a processor (51) and a memory (52), wherein the memory (52) stores computer program instructions, and when the computer program instructions are executed by the processor (51), the processor (51) is capable of executing the control method according to any one of claims 1 to 12.

16. A computer program product comprising computer program instructions, wherein: The computer program instructions, when executed by a processor, enable the processor to perform a control method according to any one of claims 1 to 12.

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