Vehicle charging control method and device, equipment and storage medium

Abstract

The invention discloses a vehicle charging control method and device, equipment and a storage medium, and the method comprises the steps: detecting whether a vehicle starts an intelligent travel function for reserving the future vehicle use time or not after a charging instruction is received; if yes, weather forecast data, including temperature forecast data, between the current time and the car reservation time is obtained; calculating a weighted temperature value according to the temperature forecast data, and obtaining a temperature deviation value in combination with the real-time battery cell temperature; and if the deviation value exceeds the preset range, the thermal management assembly is started preferentially in the electric charge trough period in the future time period, and charging is executed after the battery temperature is preprocessed to the optimal slow charging interval. According to the method, prospective judgment is carried out by introducing the vehicle reservation time and the weather forecast, and high-energy-consumption temperature regulation and control are transferred to a low-price electricity period to be executed, so that the total charging cost is effectively reduced, and the efficiency is improved. The method can be widely applied to the technical field of vehicles.

Description

Technical Field

[0001] This application relates to the field of vehicle technology, and in particular to a vehicle charging control method, device, equipment, and storage medium. Background Technology

[0002] Slow charging is a common and relatively battery-friendly way to recharge electric vehicles, and the process usually takes several hours or even longer. Unlike the intense internal heat generated by the large current during fast charging, the current during slow charging is lower, and the temperature rise inside the battery is relatively gradual.

[0003] In related technologies, the thermal management of electric vehicles during slow charging is similar to that of fast charging, generally involving monitoring the temperature of the battery cells for thermal management control. However, in practical applications, it has been found that this cell temperature-based response mode is ill-suited to addressing the cumulative effects of environmental heat during slow charging. Because slow charging takes a long time, the ambient temperature continuously and slowly heats or cools the battery pack. By the time the cell temperature sensor detects a temperature change exceeding a threshold, the battery pack has already absorbed or dissipated a significant amount of ambient heat, requiring temporary adjustments by the vehicle's thermal management system. This energy consumption ultimately comes from the power grid, resulting in additional electricity costs and significantly reducing the economic viability of slow charging.

[0004] In summary, the problems with the relevant technologies urgently need to be addressed. Summary of the Invention

[0005] The purpose of this application is to at least partially solve one of the technical problems existing in the related art.

[0006] Therefore, one objective of the embodiments of this application is to provide a vehicle charging control method, apparatus, device, and storage medium.

[0007] To achieve the above-mentioned technical objectives, the technical solutions adopted in the embodiments of this application include: On one hand, embodiments of this application provide a vehicle charging control method, the method comprising: In response to a charging command for a target vehicle, it detects whether the target vehicle has activated its smart mobility function; wherein the smart mobility function is used to reserve the use of the target vehicle at a first available time. When it is determined that the target vehicle has activated the intelligent travel function, the first weather forecast data between the current time point and the first time point is obtained; wherein, the first weather forecast data includes the first temperature forecast data; A first weighted temperature value is determined based on the first temperature forecast data, and a first temperature deviation value is determined based on the first weighted temperature value and the cell temperature of the target vehicle. Detect whether the first temperature deviation value is within a preset range; When it is determined that the first temperature deviation value is not within the preset range, the thermal management component of the target vehicle is activated during the electricity cost trough period between the current time node and the first time node. After adjusting the cell temperature of the target vehicle to within the slow charging adaptation temperature range, the target vehicle is charged.

[0008] In addition, the vehicle charging control method according to the above embodiments of this application may also have the following additional technical features: Furthermore, in one embodiment of this application, detecting whether the target vehicle has activated its smart mobility function in response to a charging command for the target vehicle includes: When the target vehicle is detected to be connected to a slow charging component, the charging command is triggered; Based on the charging command, it is detected whether the target vehicle has activated its smart mobility function.

[0009] Furthermore, in one embodiment of this application, determining the first weighted temperature value based on the first temperature forecast data includes: Divide the total time between the current time node and the first time node into several time periods, and determine the time length and temperature forecast sub-data for each time period; The sum of the products of the time length and the temperature forecast sub-data corresponding to each time period is calculated and divided by the total time between the current time node and the first time node to obtain the first weighted temperature value.

[0010] Furthermore, in one embodiment of this application, determining the first temperature deviation value based on the first weighted temperature value and the cell temperature of the target vehicle includes: Detect the solar radiation value and wind speed corresponding to the target vehicle; The correction parameters are determined based on the solar radiation value and the wind speed. The difference between the cell temperature of the target vehicle and the first weighted temperature value is calculated to obtain the first deviation value; The first temperature deviation value is determined based on the product of the correction parameter and the first deviation value.

[0011] Furthermore, in one embodiment of this application, the method further includes: When it is determined that the first temperature deviation value is within a preset range, the target vehicle is charged during the off-peak electricity period between the current time node and the first time node.

[0012] Furthermore, in one embodiment of this application, the method further includes: When it is determined that the target vehicle has not activated the intelligent mobility function, a second time point when slow charging is completed is determined based on the current battery level of the target vehicle; Obtain the second weather forecast data between the current time point and the first time point; wherein, the second weather forecast data includes the second temperature forecast data; A second weighted temperature value is determined based on the second temperature forecast data, and a second temperature deviation value is determined based on the second weighted temperature value and the cell temperature of the target vehicle. Detect whether the second temperature deviation value is within the preset range; When it is determined that the second temperature deviation value is not within the preset range, the thermal management component of the target vehicle is activated, and the battery cell temperature of the target vehicle is adjusted to the slow charging adaptation temperature range before charging the target vehicle.

[0013] Furthermore, in one embodiment of this application, the method further includes: Once it is determined that the second temperature deviation value is within the preset range, the target vehicle is directly charged.

[0014] On the other hand, embodiments of this application provide a vehicle charging control device, the device comprising: The detection unit is used to detect whether the target vehicle has activated its smart mobility function in response to a charging command for the target vehicle; wherein the smart mobility function is used to reserve the use of the target vehicle at a first time point. The acquisition unit is configured to acquire first weather forecast data between the current time point and the first time point when it is determined that the target vehicle has activated the intelligent travel function; wherein, the first weather forecast data includes first temperature forecast data; The processing unit is configured to determine a first weighted temperature value based on the first temperature forecast data, and to determine a first temperature deviation value based on the first weighted temperature value and the cell temperature of the target vehicle. The judgment unit is used to detect whether the first temperature deviation value is within a preset range; An execution unit is configured to, when it is determined that the first temperature deviation value is not within a preset range, activate the thermal management component of the target vehicle during the electricity cost trough period between the current time node and the first time node, adjust the cell temperature of the target vehicle to within the slow charging adaptation temperature range, and then charge the target vehicle.

[0015] On the other hand, embodiments of this application provide an electronic device, including: At least one processor; At least one memory for storing at least one program; When the at least one program is executed by the at least one processor, the at least one processor implements the vehicle charging control method described above.

[0016] On the other hand, embodiments of this application also provide a computer-readable storage medium storing a processor-executable program, which, when executed by a processor, is used to implement the aforementioned vehicle charging control method.

[0017] On the other hand, embodiments of this application also provide a computer program product, which includes a computer program stored in a computer-readable storage medium. The processor of a computer device reads the computer program from the computer-readable storage medium and executes the computer program, causing the computer device to perform the above-described vehicle charging control method.

[0018] The advantages and beneficial effects of this application will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of this application: This application discloses a vehicle charging control method, apparatus, device, and storage medium, aiming to improve the existing slow-charging thermal management system, which relies solely on real-time cell temperature response while ignoring the influence of ambient temperature, resulting in low energy efficiency and high cost. The method includes: upon receiving a charging command, detecting whether the vehicle has activated its intelligent mobility function for reserving future usage times; if activated, acquiring weather forecast data, including temperature forecast data, from the current time to the reserved usage time; calculating a weighted temperature value based on the temperature forecast data and combining it with the real-time cell temperature to obtain a temperature deviation value; if the deviation value exceeds a preset range, prioritizing the activation of the thermal management component during a future electricity price off-peak period to pre-process the battery temperature to the optimal slow-charging range before charging. This method, by incorporating reserved usage time and weather forecasts for forward-looking judgment and shifting high-energy-consumption temperature control to low-cost electricity periods, effectively reduces the total charging cost and improves efficiency. Attached Figure Description

[0019] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the following description is provided with accompanying drawings of the relevant technical solutions in the embodiments of this application or the prior art. It should be understood that the accompanying drawings described below are only for the purpose of clearly illustrating some embodiments of the technical solutions in this application. For those skilled in the art, other drawings can be obtained based on these drawings without any creative effort.

[0020] Figure 1 This is a schematic diagram illustrating the implementation environment of a vehicle charging control method provided in this application embodiment; Figure 2 This is a schematic flowchart of a vehicle charging control method provided in an embodiment of this application; Figure 3 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. Detailed Implementation

[0021] The present application will be further described below with reference to the accompanying drawings and specific embodiments. The described embodiments should not be considered as limitations on the present application, and all other embodiments obtained by those skilled in the art without inventive effort are within the scope of protection of the present application.

[0022] In the following description, references are made to “some embodiments,” which describe a subset of all possible embodiments. However, it is understood that “some embodiments” may be the same subset or different subsets of all possible embodiments and may be combined with each other without conflict.

[0023] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used herein is for the purpose of describing embodiments of this application only and is not intended to limit this application.

[0024] Slow charging is a common and relatively battery-friendly way to recharge electric vehicles, and the process usually takes several hours or even longer. Unlike the intense internal heat generated by the large current during fast charging, the current during slow charging is lower, and the temperature rise inside the battery is relatively gradual.

[0025] In related technologies, the thermal management of electric vehicles during slow charging is similar to that of fast charging, generally involving monitoring the temperature of the battery cells for thermal management control. However, in practical applications, it has been found that this cell temperature-based response mode is ill-suited to addressing the cumulative effects of environmental heat during slow charging. Because slow charging takes a long time, the ambient temperature continuously and slowly heats or cools the battery pack. By the time the cell temperature sensor detects a temperature change exceeding a threshold, the battery pack has already absorbed or dissipated a significant amount of ambient heat, requiring temporary adjustments by the vehicle's thermal management system. This energy consumption ultimately comes from the power grid, resulting in additional electricity costs and significantly reducing the economic viability of slow charging.

[0026] In view of this, this application provides a vehicle charging control method, device, equipment, and storage medium, aiming to improve the problem of low energy efficiency and high cost caused by existing slow-charging thermal management that relies solely on real-time cell temperature response while ignoring the influence of ambient temperature. The method includes: upon receiving a charging command, detecting whether the vehicle has activated its intelligent mobility function for reserving future usage times; if activated, acquiring weather forecast data from the current time to the reserved usage time, including temperature forecast data; calculating a weighted temperature value based on the temperature forecast data, and combining it with the real-time cell temperature to obtain a temperature deviation value; if the deviation value exceeds a preset range, prioritizing the activation of the thermal management component during the off-peak electricity price period in the future to pre-process the battery temperature to the optimal slow-charging range before charging. This method, by introducing the reserved usage time and weather forecast for forward-looking judgment and shifting high-energy-consumption temperature control to low-price electricity periods, effectively reduces the total charging cost and improves efficiency.

[0027] Please refer to Figure 1 , Figure 1 This diagram illustrates an implementation environment for a vehicle charging control method provided in this embodiment. In this environment, the main hardware and software components include a terminal device 110 and a backend server 120. The terminal device 110 and the backend server 120 are connected in a communication manner.

[0028] Specifically, the vehicle charging control method provided in this application embodiment can be executed independently on the terminal device 110 side, or based on data interaction between the terminal device 110 and the backend server 120. The terminal device 110 can be an in-vehicle terminal, such as the vehicle's central control unit; the backend server 120 can be an independent physical server, a server cluster or distributed system composed of multiple physical servers, or a cloud server that provides basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communication, middleware services, domain name services, security services, CDN (Content Delivery Network), and big data and artificial intelligence platforms.

[0029] The terminal device 110 and the backend server 120 can establish a communication connection via a wireless network or a wired network. This wireless or wired network uses standard communication technologies and / or protocols. The network can be the Internet or any other network, including but not limited to any combination of Local Area Network (LAN), Metropolitan Area Network (MAN), Wide Area Network (WAN), mobile, wired or wireless networks, private networks, or virtual private networks.

[0030] Of course, this is understandable. Figure 1 The implementation environment described in this application is only one of the optional application scenarios for the vehicle charging control method provided in this embodiment. The actual application is not fixed. Figure 1 The software and hardware environment shown.

[0031] Below, in conjunction with the aforementioned description of the implementation environment, a vehicle charging control method provided in the embodiments of this application will be introduced and explained.

[0032] Please refer to Figure 2 , Figure 2 This is a schematic diagram of a vehicle charging control method provided in an embodiment of this application. The vehicle charging control method includes, but is not limited to: Step 210: In response to a charging command for the target vehicle, detect whether the target vehicle has activated its smart mobility function; wherein, the smart mobility function is used to reserve the use of the target vehicle at a first time point; Step 220: When it is determined that the target vehicle has activated the intelligent travel function, obtain the first weather forecast data between the current time point and the first time point; wherein, the first weather forecast data includes the first temperature forecast data; Step 230: Determine a first weighted temperature value based on the first temperature forecast data, and determine a first temperature deviation value based on the first weighted temperature value and the cell temperature of the target vehicle; Step 240: Detect whether the first temperature deviation value is within a preset range; Step 250: When it is determined that the first temperature deviation value is not within the preset range, the thermal management component of the target vehicle is activated during the electricity cost trough period between the current time node and the first time node. After adjusting the cell temperature of the target vehicle to within the slow charging adaptation temperature range, the target vehicle is charged.

[0033] This application provides a vehicle charging control method that breaks away from the traditional slow charging thermal management model that relies solely on real-time cell temperature for passive response. It introduces a future ambient temperature prediction based on the user's travel plan and intelligently selects to pre-process the battery temperature during off-peak hours when electricity prices are lower. This achieves the dual goals of reducing total charging costs and improving charging efficiency. The implementation process of this method is described in detail below.

[0034] In this embodiment of the application, the vehicle performing the vehicle charging control method is referred to as the target vehicle. The target vehicle can be any electrified vehicle equipped with a rechargeable power battery pack and associated thermal management components (such as battery coolers, heaters, pumps, valves, etc.), such as a battery electric vehicle (BEV), a plug-in hybrid electric vehicle (PHEV), or a range-extended electric vehicle (EREV). This application does not limit its specific type.

[0035] For the target vehicle, step 210 is executed first. In response to the charging command, it is detected whether the target vehicle has activated the "intelligent mobility function." This function is preset by the user, and its content is to reserve a specific time node (i.e., the first time node) when the vehicle is needed in the future. In this embodiment, the triggering method of the charging command is not limited. For example, in some embodiments, when the user inserts a slow-charging component (such as a slow-charging gun) into the charging port of the target vehicle, the target vehicle will detect this physical connection event. This event will generate a signal, which will be interpreted by the vehicle's control system (such as VCU or BMS) as a valid "charging command," thereby waking up and starting the control process described in this application. In some embodiments, the charging command can also be implemented through remote network communication. When the target vehicle has already connected to the slow-charging component, the user can send a command to remotely start charging to the vehicle from any location via a mobile app. After receiving this command through its onboard communication module (such as a 4G / 5G module), the vehicle regards it as a "charging command" and responds immediately.

[0036] In this embodiment, the detection of the "intelligent travel function" activation status is essentially a query and confirmation by the vehicle control system (such as the vehicle control unit, VCU, or the gateway controller acting as its upper-level logic) of the user's preset command status. Activation of this function means that the user has set a specific future time point for vehicle use (i.e., the first time node) through an interactive interface and has actively selected this reservation function. When the system performs this detection task, it can access a specific, non-volatile storage area that stores the reservation travel plans and their on / off status set by the user through the central control human-machine interface (HMI), mobile terminal application (App), or cloud account.

[0037] For example, in some embodiments, upon receiving a charging command, the control logic immediately sends a query request to the module storing the reservation information (typically located in the vehicle controller or gateway). This module maintains a data structure called "Smart Mobility Plan," which contains at least two key fields: one is "Function Enabled / Disabled," indicating whether the user has ultimately confirmed and activated the reservation; the other is "Scheduled Time," which is the future usage time point set by the user (the first time node). By reading the value of the "Function Enabled" field, the system can directly determine whether the function is enabled. If the status is "Enabled" or "True," it is determined to be enabled; if it is "Disabled," "False," or no valid reservation plan is found, it is determined to be disabled.

[0038] In step 220, when it is determined that the target vehicle has activated the intelligent travel function, the system requests or obtains relevant weather forecast data from the meteorological service system based on the time interval between the current time node and the scheduled travel time node (the first time node). In this embodiment, this is referred to as the first weather forecast data. The crucial part of this data is the first temperature forecast data for this time period. It should be noted that in this embodiment, the system obtains a dynamically changing ambient temperature prediction value for a future period of time, rather than a single temperature value.

[0039] In step 230, a representative temperature reference value can be calculated based on the first temperature forecast data. Specifically, a first weighted temperature value is determined based on the first temperature forecast data. This weighting process can consider the weight of the impact of different time points on the battery's thermal state; for example, the closer the temperature is to the start of charging or the moment of travel, the greater its weight can be, thus calculating a weighted average value that better reflects the overall thermal load trend. Subsequently, this first weighted temperature value is compared with the current cell temperature of the target electric vehicle, which is collected in real time by sensors, to calculate a first temperature deviation value. This deviation value quantifies the difference between the current battery temperature and the expected future thermal environment requirements.

[0040] In step 240, it is detected whether the first temperature deviation value is within a preset reasonable range. This preset range represents a tolerable interval that does not require additional temperature intervention. If the first temperature deviation value is within this range, it indicates that the current battery temperature is well matched with the future ambient temperature conditions, and charging can proceed according to the normal procedure. Otherwise, step 250 can be executed.

[0041] Specifically, in step 250, thermal management is not initiated immediately. Instead, based on grid electricity price information, the system intelligently selects the lowest electricity price period within the entire time span between the current time point and the first time point. Then, during this selected low-price period, the system activates the target vehicle's thermal management components (such as a PTC heater or air conditioning compressor) to perform pre-treatment operations such as heating or cooling the battery pack, precisely adjusting the cell temperature to an optimal, efficient temperature range for slow charging (i.e., the slow charging adaptation temperature range). Only after the temperature pre-treatment is complete does the system begin charging the target vehicle. In this way, by shifting the high-energy-consuming thermal management process to a lower electricity price period and pre-setting the battery temperature to its optimal state before charging, the total cost of the entire charging process is significantly reduced, while also laying the foundation for subsequent charging efficiency optimization.

[0042] It is understood that this application provides a vehicle charging control method. Upon receiving a charging command, the method detects whether the vehicle has activated its intelligent mobility function for reserving future usage times. If activated, it acquires weather forecast data, including temperature forecast data, from the current time to the reserved usage time. A weighted temperature value is calculated based on the temperature forecast data, and a temperature deviation value is derived by combining it with the real-time battery cell temperature. If the deviation value exceeds a preset range, the thermal management component is activated during the off-peak electricity price period in the future to pre-process the battery temperature to the optimal range for slow charging before charging. This method, by introducing reserved usage time and weather forecasts for forward-looking judgment and shifting high-energy-consumption temperature control to periods of low electricity prices, effectively reduces the total charging cost and improves efficiency.

[0043] Specifically, in some embodiments, determining the first weighted temperature value based on the first temperature forecast data includes: Divide the total time between the current time node and the first time node into several time periods, and determine the time length and temperature forecast sub-data for each time period; The sum of the products of the time length and the temperature forecast sub-data corresponding to each time period is calculated and divided by the total time between the current time node and the first time node to obtain the first weighted temperature value.

[0044] In this embodiment, the purpose of calculating the first weighted temperature value is to integrate dynamically changing temperature predictions over a future period into a single, physically meaningful representative temperature value, so as to accurately reflect the comprehensive impact of the environment on the battery's thermal state throughout the entire time period. This considers not only the accuracy of the temperature forecast data but also the cumulative effect of the duration of different temperatures on the battery.

[0045] Specifically, when calculating the first weighted temperature value, the entire future time interval from the current moment to the scheduled car rental time (the first time node) can be divided into several consecutive time periods according to a certain granularity. This granularity can be an hour, half an hour, or other preset intervals. For each divided time period, the duration of that time period can be determined, and the temperature forecast sub-data corresponding to that time period (i.e., the predicted temperature value within that time period) can be extracted from the acquired first temperature forecast data.

[0046] Subsequently, a weighted calculation is performed based on the relevant data. The process involves multiplying the "duration length" of each time period by the corresponding "temperature forecast sub-data" to obtain a cumulative heat contribution value for that time period. Then, these products from all time periods are summed, and finally divided by the total duration of the entire future time interval. Mathematically, this calculation is equivalent to taking a weighted average of all predicted temperature values, with time length as the weight. The resulting weighted average is the first weighted temperature value. This first weighted temperature value reflects the impact of ambient temperature on the overall thermal load of the battery pack during a long slow charging process, providing a practical data basis for subsequently determining whether preheating or precooling is necessary.

[0047] Specifically, in some embodiments, determining the first temperature deviation value based on the first weighted temperature value and the cell temperature of the target vehicle includes: Detect the solar radiation value and wind speed corresponding to the target vehicle; The correction parameters are determined based on the solar radiation value and the wind speed. The difference between the cell temperature of the target vehicle and the first weighted temperature value is calculated to obtain the first deviation value; The first temperature deviation value is determined based on the product of the correction parameter and the first deviation value.

[0048] In this embodiment, environmental factors can be introduced to correct the initially calculated temperature difference, resulting in a more accurate temperature deviation value that more accurately reflects the required thermal management intensity of the battery. Specifically, environmental parameters of the target vehicle can be detected, including solar radiation and wind speed at the vehicle's location. It is easy to understand that solar radiation directly affects the heat absorption and heating rate of the vehicle's casing and battery pack, while wind speed significantly affects the heat dissipation efficiency of the vehicle's surface. These data can be obtained through the vehicle's built-in ambient light sensor, temperature sensor array (indirectly calculated), or through local refined weather forecasts acquired via a network connection.

[0049] After obtaining the solar radiation value and wind speed, the system determines a correction parameter based on a preset algorithm or lookup table. This correction parameter is a dimensionless coefficient with a value greater than or less than 1. For example, in environments with strong solar radiation and low wind speed, the heating effect of the environment on the battery is more significant. In this case, the correction parameter may be set to a value greater than 1 (e.g., 1.2) to amplify the thermal management requirements. Conversely, in cloudy environments with high wind speed, heat dissipation is better, and the correction parameter may be set to a value less than 1 (e.g., 0.8) to reduce the thermal management requirements. In some embodiments, corresponding thresholds and coefficients can be set for solar radiation value and wind speed, respectively. For example, solar radiation value corresponds to one threshold and correction coefficient L1, and wind speed corresponds to another threshold and correction coefficient L2. When the solar radiation value is greater than the corresponding threshold, the correction parameter will consider correction coefficient L1; similarly, when the wind speed is greater than the corresponding threshold, the correction parameter will consider correction coefficient L2. If both are greater than the threshold, the correction parameter can be calculated based on the product of correction coefficients L1 and L2.

[0050] In this embodiment, a basic deviation value can be calculated first, which is the simple arithmetic difference between the real-time collected target vehicle cell temperature and the previously calculated first weighted temperature value, denoted as the first deviation value. Then, the system multiplies the correction parameter by the first deviation value, and the product is the obtained first temperature deviation value.

[0051] For example, the first deviation value can be calculated by BTT1=BT1-TT1, where BT1 is the target vehicle cell temperature and TT1 is the first weighted temperature value. The first temperature deviation value can be calculated by BTT=BTT1*L1*L2 (when both solar radiation and wind speed are greater than the corresponding threshold).

[0052] Understandably, by introducing two key environmental factors, solar radiation and wind speed, the final first temperature deviation value is no longer a simple temperature difference, but a composite index that integrates future ambient temperature trends, current battery status, and immediate ambient heat exchange conditions. This provides a more accurate basis for decisions on whether to initiate thermal management and the intensity of management.

[0053] Specifically, in some embodiments, the method further includes: When it is determined that the first temperature deviation value is within a preset range, the target vehicle is charged during the off-peak electricity period between the current time node and the first time node.

[0054] In this embodiment, when the detected first temperature deviation value is within a preset reasonable range, it indicates that the current cell temperature of the battery is well matched with the weighted average ambient temperature during the future charging period, and the battery itself is in or very close to an ideal thermal state. In this case, actively activating the thermal management components for preheating or precooling not only fails to bring about a significant improvement in charging efficiency, but also generates unnecessary energy waste due to the operation of these high-energy-consuming components, which contradicts the original intention of this application to reduce the total cost.

[0055] In this scenario, to further maximize user economic benefits, the system does not immediately begin charging but continues to follow a scheduling strategy based on electricity costs. The system intelligently identifies the lowest electricity price period within the entire time window between the current time and the initial reservation time. Then, the system schedules the charging operation during this off-peak period. By shifting the charging process itself (where charging energy consumption becomes the primary energy consumption) to low-price periods, user charging costs can be significantly reduced even without thermal management preprocessing. This ensures that, under all circumstances, the proposed solution prioritizes utilizing off-peak electricity prices to minimize total charging costs.

[0056] Specifically, in some embodiments, the method further includes: When it is determined that the target vehicle has not activated the intelligent mobility function, a second time point when slow charging is completed is determined based on the current battery level of the target vehicle; Obtain the second weather forecast data between the current time point and the first time point; wherein, the second weather forecast data includes the second temperature forecast data; A second weighted temperature value is determined based on the second temperature forecast data, and a second temperature deviation value is determined based on the second weighted temperature value and the cell temperature of the target vehicle. Detect whether the second temperature deviation value is within the preset range; When it is determined that the second temperature deviation value is not within the preset range, the thermal management component of the target vehicle is activated, and the battery cell temperature of the target vehicle is adjusted to the slow charging adaptation temperature range before charging the target vehicle.

[0057] This application embodiment also provides a strategy for charging the target vehicle in a scenario where the intelligent mobility function is not enabled. In this case, to meet the user's needs as much as possible, the goal is to complete slow charging as quickly as possible, thereby improving energy efficiency and user experience.

[0058] Specifically, when the system detects that the target vehicle's smart mobility functions are not activated, it will construct a charging time window itself because there is no clear future time point as the predicted endpoint. This is done by estimating the approximate time required to complete charging based on the vehicle's current remaining battery power and the preset slow charging power, thus calculating a second expected time point for charging completion.

[0059] Based on this, the system acquires the second weather forecast data from the current time to this estimated second time point, which also includes temperature forecasts for that period (second temperature forecast data). Subsequently, the system uses the same weighted average algorithm as the main solution to calculate a second weighted temperature value based on the second temperature forecast data, representing the environmental thermal impact throughout the expected charging period. Next, the system calculates the difference between the current cell temperature and this second weighted temperature value, and corrects it using real-time environmental parameters such as solar radiation and wind speed to obtain a second temperature deviation value. Then, it determines whether this second temperature deviation value is within a preset reasonable range. If the deviation exceeds the range, it indicates that the ambient temperature may cause the battery to be in an unsuitable temperature state during the expected charging process, thus affecting charging efficiency or increasing energy consumption. Therefore, the system immediately activates the thermal management component to pre-adjust the battery temperature to the optimal slow-charging adaptation temperature range before starting charging. In this way, even when the user has not set a travel plan, this solution can perform proactive thermal management based on the predicted charging cycle, avoiding the entire charging process from occurring at an undesirable temperature, thereby achieving the effects of saving electricity costs and protecting the battery.

[0060] Conversely, if the second temperature deviation is determined to be within a preset reasonable range, activating energy-intensive thermal management components (such as PTC heaters or air conditioning compressors) for preheating or precooling would lead to energy waste. This not only fails to significantly improve charging efficiency but also immediately increases unnecessary energy consumption and charging costs. Therefore, the system executes the most economical and direct charging strategy: skipping any form of thermal management pretreatment and immediately starting to charge the target vehicle. This decision ensures that the charging process is completed with minimal system overhead and maximum energy efficiency, given that the battery and ambient temperature conditions are already well-matched, thus achieving the core goal of reducing overall energy consumption and costs.

[0061] This application embodiment also provides a vehicle charging control device, the device comprising: The detection unit is used to detect whether the target vehicle has activated its smart mobility function in response to a charging command for the target vehicle; wherein the smart mobility function is used to reserve the use of the target vehicle at a first time point. The acquisition unit is configured to acquire first weather forecast data between the current time point and the first time point when it is determined that the target vehicle has activated the intelligent travel function; wherein, the first weather forecast data includes first temperature forecast data; The processing unit is configured to determine a first weighted temperature value based on the first temperature forecast data, and to determine a first temperature deviation value based on the first weighted temperature value and the cell temperature of the target vehicle. The judgment unit is used to detect whether the first temperature deviation value is within a preset range; An execution unit is configured to, when it is determined that the first temperature deviation value is not within a preset range, activate the thermal management component of the target vehicle during the electricity cost trough period between the current time node and the first time node, adjust the cell temperature of the target vehicle to within the slow charging adaptation temperature range, and then charge the target vehicle.

[0062] Reference Figure 3 This application provides an electronic device, including: At least one processor 310; At least one memory 320 is used to store at least one program; When at least one program is executed by at least one processor 310, the at least one processor 310 implements the vehicle charging control method described above.

[0063] Similarly, the content of the above method embodiments is applicable to the embodiments of this electronic device. The specific functions implemented by the embodiments of this electronic device are the same as those of the above method embodiments, and the beneficial effects achieved are also the same as those achieved by the above method embodiments.

[0064] This application also provides a computer-readable storage medium storing a program executable by a processor 310, which, when executed by the processor 310, performs the aforementioned vehicle charging control method.

[0065] Similarly, the content of the above method embodiments is applicable to the present computer-readable storage medium embodiments. The specific functions implemented by the present computer-readable storage medium embodiments are the same as those of the above method embodiments, and the beneficial effects achieved are also the same as those achieved by the above method embodiments.

[0066] This application also provides a computer program product, which includes a computer program stored in a computer-readable storage medium. The processor of a computer device reads the computer program from the computer-readable storage medium and executes the computer program, causing the computer device to perform the above-described vehicle charging control method.

[0067] In some alternative embodiments, the functions / operations mentioned in the block diagrams may not occur in the order shown in the operation diagrams. For example, depending on the functions / operations involved, two consecutively shown blocks may actually be executed substantially simultaneously, or the blocks may sometimes be executed in reverse order. Furthermore, the embodiments presented and described in the flowcharts of this application are provided by way of example to provide a more comprehensive understanding of the technology. The disclosed methods are not limited to the operations and logic flows presented herein. Alternative embodiments are contemplated in which the order of various operations is changed and sub-operations described as part of a larger operation are executed independently.

[0068] Furthermore, although this application is described in the context of functional modules, it should be understood that, unless otherwise stated to the contrary, one or more of the functions and / or features may be integrated into a single physical device and / or software module, or one or more functions and / or features may be implemented in a separate physical device or software module. It is also understood that a detailed discussion of the actual implementation of each module is unnecessary for understanding this application. Rather, given the properties, functions, and internal relationships of the various functional modules in the apparatus disclosed herein, the actual implementation of the module will be understood within the scope of conventional technology for an engineer. Therefore, those skilled in the art can implement the application set forth in the claims using ordinary techniques without excessive experimentation. It is also understood that the specific concepts disclosed are merely illustrative and not intended to limit the scope of this application, which is determined by the full scope of the appended claims and their equivalents.

[0069] If a function is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0070] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (such as a computer-based system, a processor-including system, or other system that can fetch and execute instructions from, an instruction execution system, apparatus, or device). For the purposes of this specification, "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transmit programs for use by, or in conjunction with, an instruction execution system, apparatus, or device.

[0071] More specific examples (a non-exhaustive list) of computer-readable media include: electrical connections (electronic devices) having one or more wires, portable computer disk drives (magnetic devices), random access memory (RAM), read-only memory (ROM), erasable and editable read-only memory (EPROM or flash memory), fiber optic devices, and portable optical disc read-only memory (CDROM). Furthermore, computer-readable media can even be paper or other suitable media on which programs can be printed, because programs can be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, interpreting, or otherwise processing as necessary, and then stored in computer memory.

[0072] It should be understood that various parts of this application can be implemented using hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented using software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, it can be implemented using any one or a combination of the following techniques known in the art: discrete logic circuits having logic gates for implementing logical functions on data signals, application-specific integrated circuits (ASICs) having suitable combinational logic gates, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.

[0073] In the foregoing description of this specification, the references to terms such as "one embodiment," "another embodiment," or "some embodiments," etc., indicate that a specific feature, structure, material, or characteristic described in connection with an embodiment or example is included in at least one embodiment or example of this application. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples.

[0074] Although embodiments of this application have been shown and described, those skilled in the art will understand that various changes, modifications, substitutions and variations can be made to these embodiments without departing from the principles and spirit of this application, the scope of which is defined by the claims and their equivalents.

[0075] The above is a detailed description of the preferred embodiments of this application, but this application is not limited to the embodiments. Those skilled in the art can make various equivalent modifications or substitutions without departing from the spirit of this application, and these equivalent modifications or substitutions are all included within the scope defined by the claims of this application.

Claims

1. A vehicle charging control method characterized by, The method comprises: in response to a charging instruction for a target vehicle, detecting whether the target vehicle has started an intelligent travel function; wherein the intelligent travel function is used to reserve the target vehicle at a first time node; when it is determined that the target vehicle has started the intelligent travel function, obtaining first weather forecast data between a current time node and the first time node; wherein the first weather forecast data comprises first temperature forecast data; determining a first weighted temperature value according to the first temperature forecast data, and determining a first temperature deviation value according to the first weighted temperature value and a battery temperature of the target vehicle; detecting whether the first temperature deviation value is in a preset range; when it is determined that the first temperature deviation value is not in the preset range, starting a thermal management component of the target vehicle in a power charge valley time period between the current time node and the first time node, adjusting the battery temperature of the target vehicle to a slow charging adaptive temperature range, and then charging the target vehicle.

2. The vehicle charging control method according to claim 1, characterized by, The method comprises: when it is detected that the target vehicle accesses a slow charging component, triggering the charging instruction; according to the charging instruction, detecting whether the target vehicle has started the intelligent travel function.

3. The vehicle charging control method of claim 1, wherein The method comprises: dividing total time between the current time node and the first time node into a plurality of time periods, determining a time length and temperature forecast sub-data corresponding to each time period; calculating a sum of products of the time length and the temperature forecast sub-data corresponding to each time period, and dividing the sum by the total time between the current time node and the first time node to obtain the first weighted temperature value.

4. The vehicle charging control method according to claim 3, characterized by, The method comprises: detecting a solar radiation value and a wind speed corresponding to the target vehicle; determining a correction parameter according to the solar radiation value and the wind speed; calculating a difference value between the battery temperature of the target vehicle and the first weighted temperature value to obtain a first deviation value; determining the first temperature deviation value according to a product of the correction parameter and the first deviation value.

5. The vehicle charging control method of claim 1, wherein, The method further comprises: when it is determined that the first temperature deviation value is in the preset range, charging the target vehicle in the power charge valley time period between the current time node and the first time node.

6. The vehicle charging control method according to any one of claims 1 to 5, characterized by, The method further comprises: when it is determined that the target vehicle has not started the intelligent travel function, determining a second time node at which slow charging is completed according to a current power of the target vehicle; obtaining second weather forecast data between the current time node and the first time node; wherein the second weather forecast data comprises second temperature forecast data; determining a second weighted temperature value according to the second temperature forecast data, and determining a second temperature deviation value according to the second weighted temperature value and the battery temperature of the target vehicle; detecting whether the second temperature deviation value is in a preset range; When it is determined that the second temperature deviation value is not in the preset range, starting the thermal management component of the target vehicle, adjusting the cell temperature of the target vehicle to be within the slow charging adaptive temperature range, and then charging the target vehicle.

7. The vehicle charging control method according to claim 6, characterized by, The method further includes: When it is determined that the second temperature deviation value is in the preset range, directly charging the target vehicle.

8. A vehicle charging control device characterized by comprising: The device includes: A detection unit configured to, in response to a charging instruction for a target vehicle, detect whether the target vehicle has started an intelligent travel function; the intelligent travel function is configured to reserve the target vehicle at a first time node; A obtaining unit configured to, when it is determined that the target vehicle has started the intelligent travel function, obtain first weather forecast data between a current time node and the first time node; the first weather forecast data includes first temperature forecast data; A processing unit configured to determine a first weighted temperature value based on the first temperature forecast data, and determine a first temperature deviation value based on the first weighted temperature value and a cell temperature of the target vehicle; A judgment unit configured to detect whether the first temperature deviation value is in a preset range; An execution unit configured to, when it is determined that the first temperature deviation value is not in the preset range, start a thermal management component of the target vehicle during an electricity fee valley period between the current time node and the first time node, adjust the cell temperature of the target vehicle to be within a slow charging adaptive temperature range, and then charge the target vehicle.

9. An electronic device, comprising: comprise: at least one processor; at least one memory configured to store at least one program; When the at least one program is executed by the at least one processor, the at least one processor implements a vehicle charging control method as claimed in any one of claims 1-7.

10. A computer readable storage medium having stored therein a program which is executable by a processor, characterized in that, The program executable by the processor, when executed by the processor, is configured to implement a vehicle charging control method as claimed in any one of claims 1-7.

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