Vehicle electricity selling method, electronic device and program product

Abstract

The invention provides a vehicle electricity selling method, electronic equipment and a program product. The vehicle is equipped with a power battery, and the method comprises the following steps: obtaining electricity sale quantity related information of current electricity sale, the electricity sale related information comprising the current electricity quantity of the power battery and expected travel related information of the vehicle; the expected travel related information comprises expected vehicle information, expected road information and / or expected weather information corresponding to a travel plan of the vehicle after the current electricity sale is completed; calling an intelligent electricity selling model to predict the current available electricity quantity based on the electricity selling quantity related information, wherein the difference between the current electricity quantity and the current available electricity quantity is not less than the electricity quantity required by the trip of the trip plan; and triggering the power battery to output electric energy to the power receiving equipment, wherein the output actual electricity sale quantity is not greater than the current electricity sale quantity.

Description

Technical Field

[0001] The present application relates to the field of vehicles, and in particular to a method for selling electricity from a vehicle to an external party, an electronic device, and a program product. Background Art

[0002] The transition to electrification has become a core path for carbon reduction in the transportation sector. With the accelerated development of vehicle-grid interaction technology standards and the large-scale deployment of intelligent charging and discharging facilities, new energy vehicles are now able to transmit power back to the public grid or energy storage devices.

[0003] Electricity-selling vehicles typically need to ensure that the remaining power after selling electricity is sufficient for future travel. In related technologies, users of these vehicles typically estimate their travel power needs and, based on their current power consumption, estimate the amount of electricity they can sell. However, users often struggle to accurately predict future electricity consumption in future travel scenarios, so their self-estimated electricity sales are often conservative. This results in a significant amount of distributed energy storage potential remaining unactivated, limiting the widespread application of vehicle-based reverse power transmission technology and urgently requiring improvement. Summary of the Invention

[0004] In view of this, the present application provides a method, electronic equipment and program product for selling electricity from a vehicle to the outside. By introducing a new intelligent electricity sales model, the available electricity volume is accurately predicted based on multi-dimensional data related to electricity sales, thereby avoiding the problem of a large amount of energy storage potential not being effectively released due to users' overly conservative estimates of the amount of electricity required for travel.

[0005] Specifically, this application is implemented through the following technical solutions: According to a first aspect of the present application, a method for selling electricity from a vehicle is provided, wherein the vehicle is equipped with a power battery, and the method comprises: Obtaining information related to the amount of electricity sold for this electricity sale, the information related to electricity sales including the current amount of electricity of the power battery and information related to the expected travel of the vehicle, the information related to the expected travel including expected vehicle information, expected road information, and / or expected weather information corresponding to the vehicle's travel plan after the completion of this electricity sale; Invoking a smart electricity sales model to predict the current saleable electricity based on the electricity sales related information, wherein the difference between the current electricity and the current saleable electricity is not less than the electricity required for the travel plan; The power battery is triggered to output electric energy to the powered device, wherein the actual sold power amount output is not greater than the currently sold power amount.

[0006] According to a second aspect of the present application, an electronic device is provided, including: a processor, a memory for storing instructions executable by the processor, and a variety of sensors; The processor implements the method described in the first aspect above by running the executable instructions.

[0007] According to a third aspect of the present application, a computer program product is provided, comprising a computer program and / or instructions, wherein the computer program and / or instructions, when executed by a processor, implement the steps of the method according to the first aspect.

[0008] The technical solution provided by this application may at least have the following beneficial effects: Through the above embodiments, this solution first obtains electricity sales related information in multiple dimensions, then calls the intelligent electricity sales model to predict the current saleable electricity based on the above information, and finally triggers the power battery to output electricity no more than the current saleable electricity to the powered device.

[0009] It is understandable that the intelligent electricity sales model described in this solution has powerful multi-dimensional data analysis and reasoning capabilities. Therefore, it is possible to conduct detailed and comprehensive analysis of electricity sales information based on multiple dimensions such as vehicle information, expected road information, and / or expected weather information, thereby predicting a relatively more accurate amount of electricity required for travel, and then obtaining a more accurate estimate of the current amount of electricity available for sale based on the current amount of electricity and the predicted amount of electricity required for travel. Obviously, compared to related technologies in which users estimate the current amount of electricity available for sale based on their personal experience, this solution can use the powerful reasoning capabilities of the intelligent electricity sales model to predict a more accurate amount of electricity available for sale, avoid users' overly conservative estimates, help activate the distributed energy storage potential of electricity sales vehicles, and thus accelerate the promotion and application of vehicle reverse transmission technology. BRIEF DESCRIPTION OF THE DRAWINGS

[0010] Figure 1 This is a schematic diagram of the architecture of a power sales management system shown in an embodiment of the present application.

[0011] Figure 2 The figure is a flowchart showing a method for selling electricity from a vehicle to an external party according to an exemplary embodiment.

[0012] Figure 3 The figure is a diagram showing the operating principle of an intelligent electricity vending model according to an exemplary embodiment.

[0013] Figure 4 It is a schematic structural diagram of an electronic device shown in an exemplary embodiment.

[0014] Figure 5 The figure is a block diagram showing a device for selling electricity from a vehicle to an external party according to an exemplary embodiment. DETAILED DESCRIPTION

[0015] Exemplary embodiments will be described in detail herein, with examples illustrated in the accompanying drawings. In the following description, when referring to the drawings, identical numerals in different figures represent identical or similar elements, unless otherwise indicated. The embodiments described in the following exemplary embodiments are not intended to represent all embodiments consistent with the present application. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present application, as detailed in the appended claims.

[0016] It should be noted that in other embodiments, the steps of the corresponding method are not necessarily performed in the order shown and described in this application. In some other embodiments, the method may include more or fewer steps than those described in this application. In addition, a single step described in this application may be broken down into multiple steps for description in other embodiments; and multiple steps described in this application may be combined into a single step for description in other embodiments.

[0017] The transition to electrification has become a core path for carbon reduction in the transportation sector. With the accelerated development of vehicle-grid interaction technology standards and the large-scale deployment of intelligent charging and discharging facilities, new energy vehicles are now able to transmit power back to the public grid or energy storage devices.

[0018] Electricity-selling vehicles usually need to ensure that the remaining power after selling electricity is sufficient for future travel needs. In related technologies, users of electricity-selling vehicles usually estimate the amount of electricity required for travel and estimate the amount of electricity that can be sold to the outside based on the current power. However, it is often difficult for users to accurately predict the power consumption in future travel scenarios (such as traffic congestion fluctuations on commuting routes, differences in wind resistance and road friction coefficient caused by weather changes, and dynamic parameters such as the vehicle's own tire pressure and battery health, all of which directly affect the reliability of power planning). Therefore, the power sales estimated by users themselves are often relatively conservative, resulting in a large amount of distributed energy storage potential not being activated, which limits the promotion and application of vehicle reverse transmission technology and urgently needs to be improved.

[0019] In response to the technical problems existing in the related technologies, this application proposes a new electricity sales management method based on an intelligent electricity sales model, which is described in detail below with reference to the accompanying drawings and related embodiments.

[0020] The intelligent electricity sales model described in this application can be built based on any form of neural network framework and trained in a supervised, semi-supervised or unsupervised manner. Taking supervised training as an example, sample data corresponding to the electricity sales case can be obtained in advance. Any sample data contains information related to the sample electricity sales collected before the vehicle sells electricity and its corresponding saleable electricity. Through the above training, the obtained intelligent electricity sales model can use the information related to electricity sales to more accurately predict the amount of electricity required for the vehicle's travel and accurately output the amount of electricity available for sale this time.

[0021] In one embodiment, the smart electricity vending model can be trained using a Large Language Model (LLM) to predict the current sellable electricity amount based on textual information / data. Alternatively, given that electricity sales information may include multiple types of information, the smart electricity vending model can also be trained using any type of Large Multimodal Model (LSM), which can recognize and process multimodal data such as visual, textual, and audio data, to ensure that the smart electricity vending model can output accurate inference results based on multimodal data.

[0022] For example, a Vision-Language Model (VLM) can be used. This multimodal AI model combines computer vision (CV) and natural language processing (NLP) capabilities. It can simultaneously understand and process images (or videos) and text, establishing connections between the two to enable more complex tasks. A smart electricity vending model implemented using the VLM can more accurately identify the current scene type from multiple dimensions based on multimodal sensor data and output a weighted value that matches that type (i.e., consistent with the current driving environment).

[0023] The vehicles for selling electricity described in this application may be pickup trucks, sedans, SUVs (Sport Utility Vehicles), RVs, trucks, and the like in terms of their functional form; and may be new energy vehicles (such as hybrid vehicles or pure electric vehicles). This invention does not limit the specific form of the vehicles. Regardless of the vehicle's form, it must be equipped with a power battery, i.e., it must utilize the stored electrical energy of the power battery as at least a partial source of power. The electricity sales solution described in this application involves controlling the discharge of the power battery, thereby transmitting the stored electrical energy to the receiving device and generating revenue.

[0024] The present application does not limit the type and capacity of the power battery. For example, the type may be a conventional lithium-ion battery (such as a lithium iron phosphate battery, a ternary lithium battery, etc.), or a nickel-metal hydride battery, a sodium-ion battery, or a solid-state battery.

[0025] In addition, the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with the relevant laws, regulations and standards of relevant countries and regions, and provide corresponding operation entrances for users to choose to authorize or refuse.

[0026] Figure 1 This is a schematic diagram of the hardware architecture of a power sales management system shown in an embodiment of the present application. Figure 1 As shown, from a hardware perspective, the system may include only vehicles (such as at least some of vehicles 13-15), or may include both vehicles and servers (such as server 11 and / or server 12). From a software perspective, the electricity sales management system may include an electricity sales management module and an intelligent electricity sales model.

[0027] Taking vehicle 13 as an example, if the electricity vending management system only includes vehicle 13, the electricity vending management module and the intelligent electricity vending model are both deployed locally in vehicle 13, such as in the domain controller of vehicle 13. It can be understood that the electricity vending management system in this case is an on-board system, and the system can even run offline. If the electricity vending management system includes both vehicle 13 and server 11, at least one of the electricity vending management module and the intelligent electricity vending model can be deployed in server 11, while the remaining models / modules can be deployed locally in vehicle 13, which will not be repeated here.

[0028] The vehicle 13 can establish an electrical connection with the powered device through the necessary hardware. The hardware may include only a connecting cable or both a connecting cable and a discharge station. The discharge station is an electrical device that supports discharge from the vehicle to the powered device. The discharge station may only support discharge from the vehicle to the powered device. Alternatively, it may support both charging the powered device from the vehicle (of course, in this case, the "powered device" is actually used to discharge from the vehicle, i.e., the device is a discharge device) and discharging from the vehicle to the powered device. In this case, the discharge station is actually a "charging and discharging station" and will not be further described.

[0029] In one embodiment, the server 11 may also run a server-side program, thereby implementing the server as a power vending server at the software level. The aforementioned power vending management module is a functional module included in this server. The power vending server can be used to monitor and manage power vending-related equipment, generate charging / sales orders, generate charging / sales records, and settle power vending revenue. Furthermore, the power vending management system may also include a terminal device used by associated users of the vehicle (e.g., the owner and / or passengers such as the driver). This terminal device can run a client program, thereby implementing the terminal device as a power vending client at the software level. The power vending client can be used to report vehicle / battery-related information, driving records, and other information to the power vending server, connect to the vehicle and exchange data with it, or display relevant information such as power vending progress and revenue records to customers. Of course, the power vending client can also run locally on the vehicle (e.g., as a remote plug-in for the vehicle system or as an after-installed app), which will not be further described. It is understood that the power vending server and power vending client can constitute a power vending service platform.

[0030] Exemplarily, the terminal device used by the associated user of the vehicle may be a mobile phone, a PC (Personal Computer), a tablet device, a laptop computer, a PDA (Personal Digital Assistants), a wearable device (such as smart glasses, smart watches, etc.), a VR (Virtual Reality) device, an AR (Augmented Reality) device, etc., and one or more embodiments of this specification are not limited to this.

[0031] For different electricity sales scenarios, the power receiving device described in this application can have various forms, such as grid equipment, energy storage equipment and / or other vehicles. For example, the vehicle 13 to be sold electricity can reverse discharge to the grid equipment; the vehicle 14 to be sold electricity can reverse discharge to the energy storage equipment; the vehicle 15 to be sold electricity can charge the vehicle 16 to be charged (similar to the reverse charging between two mobile phones). Of course, in the vehicle to be sold electricity, multiple discharge interfaces can be configured for the power battery. In this case, the vehicle can be connected to multiple power receiving devices and discharge to these devices at the same time; or, if the power battery is only configured with one discharge interface, it can also be connected to one power receiving device through the discharge interface or to multiple power receiving devices through the discharge interface and the extension interface. No further details will be given.

[0032] If the electricity vending management system includes a server, for example, the electricity vending management module and the intelligent electricity vending model can both be deployed on server 11 (in which case the system may not include server 12). In this case, the electricity vending management module can obtain information related to electricity sales and call the intelligent electricity vending model deployed on server 11 to predict the current available electricity. Alternatively, the electricity vending management module can be deployed on server 11 and the intelligent electricity vending model on server 12 (e.g., if the model is managed by a third-party model hosting platform). In this case, the electricity vending management module can obtain information related to electricity sales and call the intelligent electricity vending model across platforms to predict the current available electricity. The electricity vending management module can then instruct the power battery to output the corresponding amount of electricity to the powered device based on the model's prediction results, thereby enabling external electricity sales.

[0033] Among them, any of the servers 11 and 12 can be a physical server containing an independent host, or a virtual server hosted by a host cluster, a cloud server, etc. In addition, the embodiments of the present application do not limit the number, type, or specific interaction method of the server with the vehicle. As for the network 10 for interaction between the vehicle and the server, the specific type of wireless network can be selected to achieve communication based on the communication method supported by the corresponding device, and this application does not limit this.

[0034] Figure 2 This is a flow chart of a method for selling electricity to external parties shown in an embodiment of the present application. This method is applied to the electricity sales management system, and specifically can be applied to the electricity sales management module therein. Figure 2 As shown, the method includes the following steps 202 to 206.

[0035] Step 202, obtaining information related to the electricity sales volume of this electricity sale, wherein the information related to electricity sales includes the current power level of the power battery and the expected travel information of the vehicle, wherein the expected travel information includes the expected vehicle information, expected road information and / or expected weather information corresponding to the travel plan of the vehicle after the completion of this electricity sale.

[0036] The electricity sales-related information is information related to factors affecting the current saleable electricity. This information is used by the intelligent electricity sales model in subsequent steps to predict the current saleable electricity. Specifically, it includes the current power battery charge (i.e., information representing the battery's stored charge before the current electricity sales) and the vehicle's expected trip-related information. The expected trip-related information is used by the intelligent electricity sales model to predict the vehicle's required trip power after the current electricity sales are completed. The difference between the current power charge and the current saleable electricity should be no less than the required trip power.

[0037] In one embodiment, the current power level can be collected by the vehicle and automatically reported to a power sales management module running locally in the vehicle or on a server, such as periodically or each time the vehicle completes a journey (wherein, the vehicle can determine that the journey has ended when the vehicle shifts from D to P). Alternatively, the vehicle can collect the current power level and send it to an electronic device used by a user associated with the vehicle. The user can then operate the electronic device (e.g., via the aforementioned power sales client) to report the information to the power sales management module running on the server.

[0038] The current electricity sales for the vehicle described in this application are conducted while the vehicle is idle (parked). For example, if the driver of the vehicle commutes between home and work on weekdays, the vehicle can be parked after returning home from get off work on weekdays to charge the vehicle (nighttime is typically when electricity prices are low, resulting in low charging costs). The vehicle can then be sold after arriving at work on weekdays and parking the vehicle (daytime is typically when electricity prices are high, resulting in high electricity sales revenue). This fully utilizes the energy storage capacity of the power battery and maximizes profits. For another example, the expected travel-related information can be predicted based on the vehicle's travel plan. For example, if the vehicle's driver or other associated user has a travel plan after the current electricity sales (e.g., driving home after get off work or going on a trip the next day), the electricity sales management module can first receive the travel plan reported by the associated user of the vehicle and then determine the corresponding expected travel-related information based on the travel plan. This approach, in which the associated user reports the travel plan, ensures the accuracy of the subsequent expected travel-related information. In other words, the travel-related information determined in this manner accurately reflects the vehicle's electricity demand after the current electricity sales are completed.

[0039] For another example, since users' vehicle usage frequency and driving habits usually have a certain degree of inertia and periodicity (such as driving from home to work every day on weekdays, or usually driving for travel on weekends), the vehicle's travel plan after the current electricity sale is completed can also be predicted based on the vehicle's historical travel records, and then the corresponding expected travel-related information can be determined based on the travel plan. The historical travel records may include user / vehicle profiles constructed based on relevant parameters such as historical travel data (such as travel time, route, mileage), real-time location (GPS), battery health (SOH), and electricity price curves (time-of-use electricity prices, dynamic electricity prices). This method can predict the user's travel plan and corresponding expected travel-related information as accurately as possible based on the vehicle's historical travel records when the user does not have a clear travel plan, thereby improving the feasibility and accuracy of subsequent model predictions.

[0040] In the aforementioned embodiment, when determining information related to the expected trip based on the travel plan reported or predicted by the associated user, the travel trajectory and travel time period of the vehicle after the completion of the current electricity sale can be determined based on the travel plan. The travel trajectory (i.e., path) can be planned based on the starting and ending points of the travel plan and the travel time period. Of course, the travel trajectory can be planned by the electricity sales management module itself, or it can be planned by calling the path planning service associated with the electricity sales management system (such as the navigation service embedded in the map service, etc.), which will not be repeated here. The travel time period can include the departure time and arrival time, which can be specified or predicted by the associated user.

[0041] The electricity sales management module can then obtain the expected road information corresponding to the travel trajectory and / or the expected weather information corresponding to the travel trajectory and travel time period. The obtained expected road information and / or expected weather information is used as the expected travel-related information. The expected road information may include road type (urban road, rural road, highway, elevated road, etc.), road pavement quality, number of intersections / traffic lights, road congestion level, and / or road slope. The expected weather information may also include weather type (sunny, rain / snow / fog, etc.), driving severity (light rain, moderate rain, heavy rain, torrential rain, etc.), wind speed / direction (used to determine the vehicle's drag coefficient), etc., which will not be further described.

[0042] It is understandable that if the vehicle does indeed travel according to the travel plan after the end of this electricity sales, the expected road information and the expected weather information will have a certain impact on the vehicle's power consumption. Therefore, this solution determines the above information as expected travel-related information, which helps the subsequent intelligent electricity sales model to relatively accurately predict the amount of electricity required for the trip based on this information.

[0043] Step 204 : Calling the intelligent electricity sales model to predict the current saleable electricity based on the electricity sales related information, wherein the difference between the current electricity and the current saleable electricity is not less than the electricity required for the travel plan.

[0044] After obtaining the aforementioned information related to electricity sales, the intelligent electricity sales model can be called to predict the current available electricity sales amount based on this information. For example, if the intelligent electricity sales model and the electricity sales management module are deployed on the same device (e.g., both are deployed on a server in the cloud), the electricity sales management module can directly input this information into the model. If the intelligent electricity sales model and the electricity sales management module are deployed on different devices, such as the intelligent electricity sales model is deployed on a server and the electricity sales management module is deployed locally in the vehicle, the vehicle can upload the information related to electricity sales to the server so that the intelligent electricity sales model can perform inference based on this information. The server can provide a callable interface for the locally deployed intelligent electricity sales model, in which case the vehicle can call the model through this interface and upload the information related to electricity sales.

[0045] In the case where the smart electricity sales model adopts a large model such as LLM or VLM, the electricity sales management module can construct a prompt word (Prompt) based on the above-mentioned electricity sales information, and then input the prompt word into the smart electricity sales model to trigger the model's memory reasoning and output the corresponding current saleable electricity amount. For example, the prompt word can be "The vehicle can sell electricity to the outside. The current power of the vehicle is X1. The travel plan of the vehicle after selling electricity is X2. To ensure smooth travel according to the travel plan after selling electricity, what is the maximum amount of electricity that the vehicle can export to the outside this time?" Of course, the prompt word can also be flexibly constructed according to the actual scenario or the specific content of the electricity sales information, and the embodiments of the present application are not limited to this.

[0046] Given that the external sales of power batteries involve the discharge characteristics of the batteries themselves, the dynamic equations and corresponding constraints of the power batteries can be specified for the smart power sales model to ensure that the smart power sales model can strictly comply with the above constraints during the reasoning process based on the information related to the power sales volume, thereby ensuring that the reasoning process and the power battery power sales process meet the above characteristics.

[0047] The dynamic equation can be:

[0048] x t Refers to the discharge or charge amount of the power battery in time period t (i.e. the duration of this electricity sales). represents the discharge amount in period t (i.e. the amount of electricity sold to the outside, positive value), Represents the charging amount in time period t (i.e., the amount of electricity input from the charging pile, a negative value); For the charging efficiency of power batteries, is the discharge efficiency of the power battery, and both are usually in the range of [0.8,0.95].

[0049] The constraint conditions may include one or more of the following boundary constraint conditions, power constraint conditions, demand constraint conditions and redundancy constraint conditions, which are described below respectively.

[0050] In one embodiment, boundary constraints for the current saleable power quantity can be specified for the smart power vending model, ensuring that the difference between the current power quantity and the current saleable power quantity (output by the smart power vending model) is no less than the minimum state of charge (SOC) of the power battery and no greater than the maximum capacity of the power battery. The SOC (State of Charge) refers to the available state of charge remaining in a battery, typically expressed as a percentage, while the minimum SOC refers to the lowest SOC value a battery can reach under normal use or specific operating conditions. (If the remaining charge in the battery is less than this value, irreversible damage to the battery structure may occur, shortening the battery life.) The difference between the current power quantity and the current saleable power quantity (i.e., the difference between the two) is the maximum power quantity that can be exported by the local power vending system after reserving the required power for the trip (required for the planned trip after the current power vending is completed). This power quantity is greater than the minimum SOC of the power battery, ensuring that the current power vending will not damage the power battery. Furthermore, this power quantity is less than the maximum capacity of the power battery, which is consistent with the actual battery conditions.

[0051] It can be seen that through the above boundary constraints, the power battery can be controlled to output electric energy to the powered device according to the current saleable power, and the remaining battery power St in time period t will meet the following conditions: Smin≤ St ≤ Smax Wherein, the Smax is the maximum capacity of the power battery (such as 18.99kWh, 100kWh, 140kWh, etc.); the Smin is the minimum SOC of the power battery (such as 20% or 10% of Smax, etc.).

[0052] In one embodiment, power constraints for the power battery may also be specified for the smart electricity sales model so that the power output power of the power battery output by the smart electricity sales model is no greater than the maximum discharge power of the power battery. The maximum discharge power of a power battery refers to the maximum power value that the battery can safely release in a short period of time. It reflects the battery's ability to output energy instantaneously and is one of the important indicators for measuring power battery performance. During the external discharge process of a power battery, if the discharge power is too large, it may cause the battery or circuit components to heat up rapidly, posing a major safety hazard. To address this issue, this solution limits the power output power of the power battery during the external electricity sales process to below its maximum discharge power (inclusive) by specifying power constraints. This ensures that the output power of the power battery during the electricity sales process always remains within safety limits, thereby avoiding safety hazards caused by rapid heating and improving the safety of this electricity sales process.

[0053] Similarly, given that power batteries also need to be charged and the concept of a maximum charging power (such as 2C or even 5C) exists in the charging process, power constraints can also be specified for the power batteries so that the electrical energy input power of the power batteries during the charging process is no greater than the maximum charging power of the power batteries.

[0054] For example, it can be specified that during the charging or discharging (sale of electricity to the outside) process of the power battery, x t The following power constraints are met:

[0055] in, is the maximum charging power of the power battery, is the maximum discharge power of the power battery.

[0056] As can be seen from step 204 above, the current saleable electricity output by the smart electricity vending model must ensure that the difference between the current electricity consumption and the current saleable electricity consumption is no less than the electricity required for the planned trip. This effect can be achieved and guaranteed by the smart electricity vending model's own reasoning logic. Alternatively, to further ensure that the current saleable electricity output by the model can indeed achieve this effect, mandatory demand constraints can also be specified for the smart electricity vending model.

[0057] In one embodiment, a demand constraint condition for the amount of electricity required for the trip can be specified for the smart electricity vending model, so that the difference between the current amount of electricity and the currently available electricity output by the smart electricity vending model is not less than the required amount of electricity for the trip. As previously mentioned, the starting point of this solution is to accurately predict the required amount of electricity for the trip through the smart electricity vending model and to relatively accurately determine the currently available electricity based on the current amount of electricity and the required amount of electricity for the trip. Through the above-mentioned demand constraint condition, the relative relationship between the currently available electricity, the current amount of electricity, and the required amount of electricity for the trip can be directly and forcibly specified to the smart electricity vending model, effectively ensuring that the currently available electricity output by the smart electricity vending model can meet the above-mentioned conditions.

[0058] In one embodiment, redundancy constraints may also be specified for the smart electricity vending model, such as specifying a redundancy multiple for the current saleable electricity quantity, so that the difference between the current electricity quantity and the current saleable electricity quantity output by the smart electricity vending model is equal to the product of the required electricity quantity for the trip and the redundancy multiple, where the redundancy multiple is greater than 1. This approach forces a certain margin for the current saleable electricity quantity by using a redundancy multiple greater than 1, thereby avoiding the inability to meet travel plans due to inaccurate predictions of the required electricity quantity for the trip. This solution effectively sets a higher priority for the vehicle's travel needs after the current electricity sale is completed, thereby exchanging a small amount of electricity sales revenue for a smooth trip after the electricity sale is completed, and avoiding the impact of electricity sales on user vehicle use.

[0059] It is understandable that the larger the redundancy multiple, the greater the aforementioned margin, but this may result in a smaller amount of electricity available for sale, which in turn leads to a smaller amount of electricity sales revenue; and vice versa. Therefore, the redundancy multiple should be flexibly set based on actual conditions such as the regularity of the user's car use needs (the more regular the user's car use, the more accurate the prediction of the amount of electricity required for travel), the priority set by the user for electricity sales revenue and car use needs, and the expected revenue of this electricity sale (such as calculating the expected revenue based on the electricity price during the time period of this electricity sale). For example, the multiple can be set to 1.2 or 1.3, etc., and this embodiment of the present application is not limited to this.

[0060] As mentioned above, the vehicle's expected travel-related information includes the expected vehicle information, expected road information and / or expected weather information corresponding to the vehicle's travel plan after the completion of this electricity sale. This information will affect the amount of electricity required for travel predicted by the intelligent electricity sales model, and thus have a certain impact on the amount of electricity that can be sold this time when the current electricity is known.

[0061] In this regard, in order to enable the associated users of the vehicle to be informed of the above information and / or power levels, thereby improving their perception of the implementation process of this solution, these contents can also be output to the users (such as display or voice broadcast). Taking display as an example, when the vehicle is equipped with a display device such as a central control screen, an instrument screen and / or a HUD (Head-up-Display), at least one of the above display devices can be triggered to display the above content; or, when the terminal device used by the associated user is connected to the vehicle or a cloud server, the power sales management module can also trigger the terminal device to display the above content. The information displayed can be expected travel-related information such as expected vehicle information, expected road information and / or expected weather information, and the power level displayed can be the power required for the trip and / or the current saleable power level predicted by the intelligent power sales model.

[0062] Given that this electricity sales process is actually an energy transaction between the vehicle and the powered device, the electricity sales management module can generate a corresponding electricity sales order or electricity sales record. This record can include basic information about the vehicle, time, location, electricity price, actual electricity sales volume, and parameters such as voltage / current / power during the transmission process. The electricity sales order or electricity sales record can also be displayed on the aforementioned display device and / or charging device, which will not be further described.

[0063] As mentioned above, the travel plan can be reported by the associated user of the vehicle or predicted based on the historical travel records of the vehicle. However, the user may report an error or the predicted travel plan may not meet the user's actual vehicle needs. In this regard, the user can adjust the displayed content (such as the expected travel-related information of the travel plan, the amount of electricity required for the trip predicted by the intelligent electricity sales model and / or the amount of electricity that can be sold this time). For example, the passengers on the vehicle can perform a first adjustment action on the content displayed by the display device, and the vehicle can initiate a corresponding content adjustment instruction to the electricity sales management module in response to the action; or the associated user can perform a second adjustment action on the content displayed by the terminal device, and the terminal device can initiate a corresponding content adjustment instruction to the electricity sales management module in response to the action. Among them, the above-mentioned first or second adjustment behavior can be implemented by making touch actions (such as performing touch operations on the central control screen or mobile phone) or issuing control voice (such as talking to the smart assistant of the car computer or mobile phone). The above-mentioned behavior can be used to delete certain content or modify the value of certain content (such as changing the destination from A to B, changing the saleable electricity from 15kWh to 12kWh, etc.), which will not be repeated here.

[0064] Furthermore, upon receiving the content adjustment instruction, the electricity sales management module can re-determine the adjusted amount of electricity available for sale this time in accordance with the instruction. For example, if the user adjusts the expected travel-related information such as the expected vehicle information, expected road information and / or expected weather information (such as adjusting the destination, travel time, route, number of passengers, etc. of the travel plan), the electricity sales management module can re-call the intelligent electricity sales model to predict the new amount of electricity required for the trip and the amount of electricity available for sale this time based on the adjusted information; if the user adjusts the amount of electricity required for the trip, the electricity sales management module can call the intelligent electricity sales model to predict the new amount of electricity available for sale this time based on the adjusted amount of electricity required for the trip; if the user directly adjusts the amount of electricity available for sale this time, the adjusted amount of electricity available for sale this time can be directly determined without calling the model again, and no further details will be given.

[0065] Through the above method, when the current saleable electricity volume predicted and output by the intelligent electricity sales model does not meet the user's actual vehicle usage needs, the user can appropriately adjust the expected travel-related information according to the actual situation, or directly adjust the electricity required for the trip and / or the current saleable electricity volume, to ensure that the electricity sales management module can subsequently trigger the power battery to transmit electricity to the powered equipment according to the adjusted current saleable electricity volume.

[0066] Step 206 : triggering the power battery to output electric energy to the powered device, wherein the actual sold power amount output is not greater than the currently sold power amount.

[0067] If the power sales management module is deployed locally in the vehicle, it can directly control the power battery to output power to the powered device, or directly instruct the power battery controller to control the battery to output power to the powered device. If the power sales management module is deployed in an electronic device separate from the vehicle (such as a cloud server or a terminal device used by the aforementioned associated user), the module can send a power sales instruction to the vehicle through the electronic device, instructing the vehicle to trigger the power battery to output power to the powered device.

[0068] Of course, before triggering the powered device to output power, it may be necessary to first detect whether the vehicle's power battery and the powered device have successfully established the necessary electrical connection (including the electrical connection for power transmission and the communication connection for transmitting interactive signals). When the electrical connection is confirmed to be established, the power battery is triggered to output power. During the power transmission process, parameters such as voltage, current, and power can also be monitored in real time and adjusted to achieve safe and efficient transmission, which will not be elaborated here.

[0069] Through the above embodiments, this solution first obtains electricity sales related information in multiple dimensions, then calls the intelligent electricity sales model to predict the current saleable electricity based on the above information, and finally triggers the power battery to output electricity no more than the current saleable electricity to the powered device.

[0070] It is understandable that the intelligent electricity sales model described in this solution has powerful multi-dimensional data analysis and reasoning capabilities. Therefore, it is possible to conduct detailed and comprehensive analysis of electricity sales information based on multiple dimensions such as vehicle information, expected road information, and / or expected weather information, thereby predicting a relatively more accurate amount of electricity required for travel, and then obtaining a more accurate estimate of the current amount of electricity available for sale based on the current amount of electricity and the predicted amount of electricity required for travel. Obviously, compared to related technologies in which users estimate the current amount of electricity available for sale based on their personal experience, this solution can use the powerful reasoning capabilities of the intelligent electricity sales model to predict a more accurate amount of electricity available for sale, avoid users' overly conservative estimates, help activate the distributed energy storage potential of electricity sales vehicles, and thus accelerate the promotion and application of vehicle reverse transmission technology.

[0071] In one embodiment, the power sales management module may also determine the available power sales time period based on the expected travel-related information and obtain the electricity price information within the available power sales time period; then, the intelligent power sales model is called to generate a discharge strategy within the available power sales time period based at least on the electricity price information and the current available power quantity, wherein the goal of the discharge strategy includes maximizing the economic benefit of the current power sales. Accordingly, the power sales management module may further trigger the power battery to output power to the powered device according to the discharge strategy. The economic benefit of this power sales is λ t *x t (where x t >0: electricity sales / discharge, xt <0 when purchasing electricity / charging). In order to maximize economic benefits, the following objective function can be specified for the smart electricity sales model:

[0072] Among them, T is the time period for electricity sales, λ t is the electricity price in period t, x t is the charge / discharge amount during time period t.

[0073] The available electricity time period is the time period during which electricity can be sold for actual output. For example, if a user commutes by car on a weekday, and arrives at work at 9:00 a.m., parks, connects to the discharge pile, and leaves, and then disconnects the vehicle from the discharge pile and leaves at 5:00 p.m., the available electricity time period is the eight hours from 9:00 a.m. to 5:00 p.m. The above-mentioned electricity price information is used to represent the electricity price during the available electricity time period. For example, it can be a fluctuating electricity price (peak or off-peak), a fixed electricity price, or a fixed price quoted by the related party of the receiving device for the current available electricity quantity or the duration of the available electricity time period, which will not be detailed here.

[0074] This solution can flexibly formulate a discharge strategy based on the electricity price information within the electricity sale period. For example, when the current saleable electricity output by the smart electricity sales model is 15kWh, the discharge power at different times within the electricity sale period can be adjusted according to the electricity price information, so that the power battery outputs less (or even zero) electricity during low electricity price periods (such as 9:00-12:00 and 14:00-17:00 within the above-mentioned electricity sale period), and outputs more (or even all of the current saleable electricity) electricity during high electricity price periods (such as 12:00-14:00 within the above-mentioned electricity sale period). The total electricity sales within the electricity sale period is equal to 15kWh, thereby maximizing the economic benefits within the electricity sale period, that is, maximizing the electricity sales revenue.

[0075] The power sales management module may also obtain transmission loss information for the power transmission path between the power battery and the power receiving device, such as the type / protocol of the discharge pile, the length, material, diameter, and / or temperature of the transmission line. This information may be used to calculate or predict the degree of transmission loss for the power transmission path, such as the calorific value, the power transmission conversion rate (i.e., the ratio between the power actually received by the power receiving device and the power actually output by the power battery), etc. Based on this, when the intelligent power sales model is called to generate a discharge strategy for the power sale period, the intelligent power sales model may be called to generate the discharge strategy for the power sale period based on the electricity price information, the current saleable power quantity, and the transmission loss information.

[0076] This approach allows the transmission loss of the transmission path to be incorporated into the smart electricity vending model. This allows the model to comprehensively consider the electricity price information, the current saleable amount of electricity, and the transmission loss information when generating a discharge strategy, thereby generating a discharge strategy more in line with actual conditions. For example, in cases where the wire diameter is thin and the temperature is high, the discharge strategy can be set to a relatively low discharge power or a relatively high discharge voltage (to reduce current) to reduce heat generation and avoid safety accidents such as spontaneous combustion. This will not be further elaborated.

[0077] In another embodiment, since more charge and discharge times generally result in greater power battery loss and shorter remaining life, the battery loss cost (or battery degradation cost) of this electricity sale can also be evaluated when measuring the revenue from this electricity sale. For example, if the battery loss cost is:

[0078] Where α is the influence coefficient of unit discharge on battery life (yuan / kWh); DoDt is the depth of discharge (Depth of Discharge) in time period t, and S t Change related.

[0079] At this point, in order to minimize battery loss, the following objective function can be specified for the smart electricity vending model:

[0080] In another embodiment, in addition to considering the aforementioned economic benefits, battery loss can also be introduced as a negative benefit (i.e., considering the value impact of this electricity sale on the entire life cycle of the power battery). That is, the aforementioned economic benefits and battery loss are comprehensively considered, in order to maximize the economic benefits while minimizing the battery loss as much as possible, thereby maximizing the overall benefits of this electricity sale.

[0081] For example, the power sales management module can also obtain the battery loss information of the power battery and call the intelligent power sales model to generate a discharge strategy for this power sales based at least on the battery loss information and the current sellable power amount. The goal of the discharge strategy includes minimizing the battery loss for this power sales. Accordingly, the power sales management module can further trigger the power battery to output power to the powered device according to the discharge strategy. For example, based on the aforementioned objective functions of maximizing economic benefits and minimizing battery loss, the following comprehensive objective function can be specified for the intelligent power sales model:

[0082] As can be seen from the aforementioned embodiments, this solution can generate corresponding discharge strategies in a variety of ways. Regardless of the discharge strategy adopted for discharge, in the process of the power battery outputting electric energy to the power receiving device, the power-related information of the power battery and / or the power receiving device can be obtained, and the power transmission parameters of the power battery can be adjusted according to the information. Among them, the power-related information may include the amount of electricity sold, current power, current temperature, heating rate and / or transmission loss, etc., and the transmission parameters may include the voltage, current, power and other parameters of the transmission path between the power battery and the power receiving device, which will not be repeated. In this way, the power transmission parameters of the power battery can be adjusted in real time according to the power-related information in the transmission process, thereby realizing flexible and adaptive adjustment of the transmission parameters, which helps to achieve efficient and safe electricity sales.

[0083] During the process of transmitting electricity to the power receiving device in the aforementioned manner, the amount of electricity can be counted in real time, so that after the transmission is completed, the economic benefits of this time can be calculated based on the actual amount of electricity sold and the electricity price. Among them, the actual amount of electricity sold used to calculate the economic benefits of this time can be counted by the power sales management module itself, or by the power receiving device itself, or it can be determined based on the statistical results of both, which will not be repeated here. For example, taking the charging and discharging of power batteries based on the public power grid as an example, the economic benefits of this electricity sale = (the peak electricity price of this electricity sale - the valley electricity price of the previous charge) * the actual electricity sales of this electricity sale.

[0084] In addition, after determining the current economic benefits of this electricity sale, the pre-associated settlement platform can also be triggered to distribute the benefits to the associated users of the vehicle, such as fund transfers, coupons / discount coupons / points, etc., which will not be described in detail. It is understood that the current economic benefits should be positively correlated with the actual amount of electricity sold in this sale.

[0085] This concludes the basic introduction to the electricity sales process based on the smart electricity sales model. In fact, the smart electricity sales model described in the embodiments of this application, in addition to being used to predict the amount of electricity available for sale before selling electricity, can also have other functions for vehicles, which will be explained below in conjunction with the embodiments.

[0086] In one embodiment, after the vehicle completes its electricity sales, real-time information on the charging status of the charging device can be obtained. The charging device can be a pre-set specific charging device, such as a charging device the vehicle frequently visits or the closest charging device to the vehicle's parking location; or it can be a charging device determined based on the vehicle's actual travel plan (after the electricity sales are completed), such as a charging device along the current navigation route or the closest charging device to the destination. The charging status information can include the charging device's real-time electricity price, the number of idle devices, parking fee standards, estimated queue length / number of people, and estimated charging time / completion time. Based on this, the intelligent electricity sales model can be invoked to generate a charging strategy for the vehicle based at least on the travel plan and the charging status information, and recommend the charging strategy to the vehicle and / or its associated users.

[0087] For example, in the case where the user drives out after the completion of this electricity sale, if the user carries out this trip according to the aforementioned travel plan, then given that the remaining current of the power battery after the completion of this electricity sale is likely to meet the power demand of this travel plan, that is, the vehicle is likely to be able to drive smoothly to the destination, the energy charging equipment located near the destination can be determined based on the location information of the destination, and the corresponding energy charging strategy for the equipment can be generated; or, if the user does not follow the aforementioned travel plan, but temporarily travels according to the latest planned route, then in order to ensure that the current remaining power can support the vehicle to successfully complete this trip, the optimal energy charging equipment passed by this trip can be comprehensively determined based on the travel trajectory, congestion conditions, real-time information of the energy charging equipment, etc., and the corresponding energy charging strategy for the equipment can be generated.

[0088] Afterwards, the power sales management module can recommend the above-mentioned energy replenishment strategy to the passengers on the vehicle (such as the driver and / or co-pilot, etc.) (such as displaying it on the vehicle screen, or pushing it to the terminal device used by the passengers on the vehicle, etc.), and if the user confirms and agrees to the energy replenishment, it will automatically navigate to the above-mentioned energy replenishment device and start energy replenishment according to the above-mentioned energy replenishment strategy; of course, if the passengers on the vehicle do not confirm, the energy replenishment can be temporarily abandoned and the vehicle can continue driving along the current route; or the passengers on the vehicle can be notified again, etc.

[0089] The energy replenishment device described in the aforementioned embodiments may be a charging station, in which case the present solution supports vehicle energy replenishment by charging the power battery (charging a depleted power battery); and / or the energy replenishment device may be a battery swap station, in which case the present solution supports vehicle energy replenishment by replacing the power battery (replacing a depleted old power battery with a fully / nearly fully charged new power battery). Of course, in addition to being replaceable, the power battery installed in the vehicle may also be rechargeable, allowing the vehicle to be charged and replenished at either a charging station or a battery swap station, thereby fully meeting the needs of different users and modes, and the embodiments of the present application are not limited to this.

[0090] After the vehicle completes the electricity sales, it can travel. For example, it can travel according to the aforementioned travel plan, or it can travel according to other plans (such as unplanned temporary travel), which will not be described in detail. Given that a portion of the electricity has been exported during the current electricity sales process, the actual remaining power of the power battery may be difficult to meet the power required for this actual trip. To this end, a certain range optimization strategy can be adopted during the actual trip to enable the vehicle to use the current remaining power to travel as long as possible, reduce the possibility that the vehicle will run out of power before the end of the trip, and alleviate the user's range anxiety.

[0091] For example, during an actual trip, the electricity sales management module can obtain real-time travel-related information about the vehicle, including current vehicle information, current road information, and current weather information. The intelligent electricity sales model can then be invoked to generate a range optimization strategy for the vehicle based on the real-time travel-related information and instruct the vehicle to drive according to the range optimization strategy. This real-time travel-related information can impact the vehicle's range in various ways. Current vehicle information can include tire pressure (generally, lower tire pressure results in greater friction and power consumption), vehicle weight (number of passengers, luggage weight, etc.; generally, heavier vehicles consume more power), and driving mode (autonomous driving mode or manual driving mode; autonomous driving mode generally allows for more precise throttle adjustment, smoother acceleration and deceleration, and lower power consumption). Current road information can include driving route, congestion, road conditions, and slope. Real-time weather information can include weather type and wind speed / direction (generally, higher wind speeds when driving against a headwind result in greater power consumption, while the opposite is true when driving with a tailwind). Based on the above real-time travel-related information, the intelligent electricity sales model can extract low-dimensional / high-dimensional features related to vehicle range from multiple dimensions, and based on this generate a relatively more efficient and practical range optimization strategy to extend the vehicle's range as much as possible.

[0092] Among them, the vehicle can be instructed to drive according to the range optimization strategy in at least one of the following ways. For example, when the range optimization strategy includes a real-time path, the driver of the vehicle can be instructed to drive the vehicle according to the real-time path, or the vehicle can be controlled to drive according to the real-time path. At this time, the range optimization strategy can optimize the real-time path of the vehicle, and plan and adjust in real time to obtain a real-time path that contains as few high-energy-consuming sections as possible (such as headwind sections, uphill sections, congested sections, red light sections, etc.). Based on this, when the vehicle is in manual driving mode, the driver can be instructed to manually drive the vehicle according to the path; and when the vehicle is in assisted driving mode, the power sales management module can automatically control the vehicle to drive according to the real-time path to assist the driver in driving the vehicle.

[0093] For another example, if the range optimization strategy includes lateral and longitudinal control instructions, the vehicle can be controlled according to the lateral and longitudinal control instructions. The driver's own driving habits may consume a lot of energy, such as a preference for sudden acceleration and braking. In response to such driving habits, the power sales management module can assist the driver in making lateral and longitudinal control instructions to control the vehicle to execute driving actions such as acceleration / deceleration, turning, lane changing, and light downhill throttle (which may activate the kinetic energy recovery function to charge the power battery), thereby achieving a more gentle, soft, and smooth driving experience and extending the range as much as possible.

[0094] For example, while driving, a vehicle may activate high-power-consuming features such as air conditioning, audio, ambient lighting, seat ventilation / massage, fragrance, HUD, and variable suspension. These features will quickly consume the remaining power of the power battery, severely shortening the cruising range, and even preventing the vehicle from completing the intended journey. To address this, the intelligent power vending model can generate a cruising range optimization strategy that includes management instructions for high-power-consuming functions. At this time, the power vending management module can shut down these high-power-consuming functions or control them to operate in low-power mode according to these instructions, thereby conserving as much remaining power as possible and extending the cruising range while ensuring the normal operation of the vehicle's basic driving functions. In addition, priorities can be pre-set for the above-mentioned multiple high-power consumption functions. The priority can be set according to the level of operating power (for example, the higher the operating power, the lower the priority of the function), or it can be set according to the degree of interference with the normal driving of the vehicle after the loss of the function (for example, the priority of air conditioning is higher than that of audio, and the priority of HUD is higher than that of fragrance, etc.). In this way, the various functions can be adjusted (that is, turned off or adjusted to low power consumption mode) in order from low to high priority based on the urgency of the remaining power, so as to minimize the adverse effects of the above adjustments on users while improving the cruising range.

[0095] In particular, if the battery life optimization strategy includes instructions for managing high-power-consuming functions, directly disabling high-power-consuming functions or adjusting them to low-power mode (which may result in limited functionality or poor performance after adjustment) may affect user experience, for example, users may mistakenly believe that the function is malfunctioning. In this regard, certain means can be used to inform users.

[0096] For example, on the one hand, a high-power-consuming function of the vehicle can be turned off or controlled to operate in a low-power mode, and on the other hand, a control prompt message for the high-power-consuming function can be output to the occupants of the vehicle to remind the user that the high-power-consuming function has been turned off or the mode has been adjusted. For example, a prompt tone "The current battery is low, and the music has been stopped for you to save power" can be played after turning off the audio; or, after turning down the volume of the audio, a prompt text such as "The current battery is low, and the volume has been lowered for you to save power" can be displayed on the aforementioned display device. In this way, high-power-consuming functions can be forcibly turned off or adjusted to save power, and the turning off or adjustment action can be promptly notified to the occupants of the vehicle to improve their awareness of the vehicle status.

[0097] For another example, a control query message for the high-power-consuming function may be sent to the vehicle occupants. Upon receiving a control confirmation command from the occupants, the high-power-consuming function may be disabled or controlled to operate in a low-power mode. For example, a prompt message may be played stating "Battery is currently low. Do you want to turn off the HUD to save power?", and the HUD function may be disabled after the user confirms with a voice message such as "Off," "Confirm," or "OK." Alternatively, a pop-up window may be displayed on the display device stating "Battery is currently low. Do you want to adjust the HUD to brief mode to save power?" along with corresponding control buttons (such as "Confirm" and "Cancel"). Upon detecting that the "Confirm" button is triggered, the HUD mode may be switched from detailed to simplified mode. In this manner, full consent from vehicle occupants can be obtained before disabling or adjusting high-power-consuming functions, thereby maximizing the user experience.

[0098] Of course, if the user does not agree to turn off or adjust high-power-consuming functions, he or she can also determine the energy replenishment strategy as soon as possible through the aforementioned method and recommend it to the passengers on the vehicle so that the vehicle can be recharged as soon as possible to ensure the smooth completion of the trip.

[0099] In addition, the above two methods of dealing with high-power consumption functions (i.e., the first method: directly turning off or adjusting the function and notifying the user, and the second method: turning off or adjusting the function after obtaining the user's consent) have different degrees of impact on users. Therefore, in order to further improve the user's car experience and the intelligence of the vehicle, priorities can also be set for the vehicle's various high-power consumption functions according to the degree of impact of the functions on driving safety and / or riding experience (such as HUD and seat massage that have a greater impact on driving safety have a higher priority, and air conditioning that has a greater impact on riding experience has a higher priority; ambient lights and fragrances that have less impact on driving safety and riding experience have a lower priority, etc.), and the second method is preferably used to handle higher priority functions, while the first method is preferably used to handle lower priority functions.

[0100] Figure 3 FIG. 1 is a diagram showing the operating principle of an intelligent electricity vending model according to an exemplary embodiment. Figure 3 As shown in the figure, the intelligent electricity sales model in the electricity sales management system inputs data of multiple dimensions, and the output is strategies related to vehicle electricity sales, energy replenishment, and driving.

[0101] In one embodiment, the intelligent electricity sales model can be used to accurately predict the current saleable electricity volume before local electricity sales. For example, based on inputs of multi-dimensional information related to expected travel (such as user behavior, battery status, future road conditions, and weather data), the model can use its powerful data analysis and reasoning capabilities to predict the required electricity volume for a trip. It then calculates and outputs the current saleable electricity volume based on the current electricity consumption and generates an optimal discharge strategy.

[0102] The intelligent electricity sales model can set the dual goals of maximizing economic benefits and minimizing battery loss (i.e., maximizing battery life) when generating discharge strategies. It dynamically calculates the matching relationship between real-time electricity prices and user vehicle usage needs, predicts battery loss costs based on parameters such as battery depth of discharge (DoD) and number of cycles, and automatically generates a charge-discharge strategy that maximizes economic benefits while minimizing battery loss. This approach is based on the following logic: A significant increase in battery charge and discharge cycles simply to maximize electricity sales revenue cannot be justified, as this will severely impact the battery lifespan of the vehicle, resulting in a loss for the user. A comprehensive assessment can be made based on multi-dimensional data such as power consumption, electricity prices, and number of cycles, with certain restrictions and protections implemented.

[0103] In one embodiment, the intelligent electricity sales model can be used to develop precise charging strategies for vehicles (at any time before or after the current electricity sales session begins). For example, it can combine the user's travel calendar with the grid's real-time load forecast to dynamically recommend optimal charging windows (such as prioritizing charging during nighttime hours with lower prices). It can also simultaneously provide information on nearby charging stations, including real-time electricity prices, queue times, site fees, and estimated charging times. This generates an optimal charging strategy, achieving a dual-goal balance of "maximizing discharge revenue and optimizing charging costs."

[0104] In one embodiment, the intelligent electricity sales model can be used to develop precise range optimization strategies for the vehicle (either during the driving process before or after the current electricity sales). For example, based on information such as vehicle status, real-time road conditions, and weather data, the model can dynamically adjust subsequent trip routes in real time (preferring low-energy routes and avoiding steep slopes and congested roads), adaptively disable non-essential high-energy-consuming functions, and adaptively adjust driving strategies based on traffic conditions (such as reducing sudden acceleration and braking), thereby reducing driving energy consumption and extending driving range.

[0105] In addition, during driving, the vehicle's power consumption can be adaptively adjusted through the intelligent power sales model based on factors such as the road, vehicle, and environment. For example, under normal circumstances, the remaining power can reach the destination, but based on the road environment (such as climbing, congestion, etc.) and weather conditions (strong winds and reverse driving, etc.) in the future travel time period, unnecessary high-power consumption functions can be turned off in advance in the previous time section, so that the vehicle can travel in low-power mode in the previous section of the route, store energy in advance (actually reducing energy consumption), and use the stored electricity for high-energy consumption sections in subsequent time periods, ensuring normal driving on high-energy consumption sections as much as possible. This solution is similar to a long-distance runner, who can plan and reasonably adjust physical energy consumption and pace in different sections according to his own functions to ensure the best performance throughout the entire journey. The intelligent power sales model of this application usually has a brain-like logic mechanism, which can achieve full-course planning capabilities similar to those of long-distance runners.

[0106] The following combination Figure 1 The operation process of the electricity sales management system is exemplified by using three specific scenarios as examples.

[0107] [Example 1] The grid equipment can charge the power battery in the vehicle 13 through the discharge pile, or receive the power output of the power battery (in this case, the battery is discharged). After the driver of the vehicle 13 parks, he can use a cable to connect to the discharge pile.

[0108] The vehicle system of the vehicle 13 or the terminal device used by the driver (such as a mobile phone, Figure 1A power sales client (such as an app, mini-program, or HTML5 page) can be run on the power sales client (not shown). The driver can submit a power sales request (including vehicle and battery information) to the power sales service through the power sales client. After manual or automatic review and approval by the power sales service, the power sales service can instruct vehicle 13 to discharge the power back to the power grid equipment through the discharge pile, so that the power grid equipment can transmit the released power to other power-consuming devices connected to the power grid (such as appliances, other vehicles, or energy storage devices).

[0109] Among them, the smart electricity sales model deployed at the electricity sales service end or locally in the vehicle can obtain information related to the expected travel in the aforementioned way and predict the amount of electricity that can be collected this time, and then trigger the power battery to transmit electricity to the power grid.

[0110] The solution of Example 1 is applicable to the current scenario where public charging piles, home charging piles, etc. sell electricity to the power grid.

[0111] [Example 2] The energy storage device can charge the power battery in the vehicle 14 through the discharge pile, or receive the power output of the power battery (the battery is discharged at this time). The specific process is similar to that of Example 1 and will not be repeated here.

[0112] Among them, the energy storage device can be implemented based on electrical energy storage, such as battery energy storage system, supercapacitor or superconducting magnetic energy storage, etc.; it can also be implemented based on mechanical energy storage, such as pumped storage, compressed air energy storage, flywheel energy storage, etc.; it can also be implemented based on thermal energy storage, such as sensible heat storage, latent heat storage, thermochemical energy storage, etc., as well as gravity energy storage, etc. The embodiments of this application are not limited to this.

[0113] The solution in Example 2 is applicable to scenarios where electricity is sold to energy storage devices such as home charging piles and dedicated charging piles in parks.

[0114] [Example 3] Vehicle 15 can charge other vehicles (such as vehicle 16), that is, vehicle 15 can transfer the electrical energy in its own power battery to the power battery of vehicle 16 for storage, thereby realizing vehicle energy replenishment (similar to reverse charging between two mobile phones).

[0115] For example, vehicle 16, which has stopped driving due to a low battery, can initiate an electricity purchase order to a cloud-based electricity sales service through an electricity sales client running on the vehicle computer or terminal device. The order includes information such as vehicle 16's status, location, battery type, required power, and bid price. The electricity sales service then publishes the order on the electricity purchase platform. After viewing the order, the co-driver of vehicle 15 (or other passengers on the vehicle) can accept the order online (of course, the co-driver can select the appropriate order from multiple orders on the platform, or the platform can automatically match and push the appropriate order to vehicle 15 based on parameters such as vehicle location, battery type, remaining power / required power, etc., and the matching process requires invoking an intelligent electricity sales model to predict the current available power). The service then drives alongside vehicle 16 and connects the two vehicles using a cable, thereby establishing an electrical connection between the power batteries of the two vehicles.

[0116] The occupants of vehicle 15 can then control vehicle 15 to charge vehicle 16, and the charge level is recorded during the charging process. After charging is complete (which may be interrupted by a person drawing a gun or by a natural disconnection after the order is completed), the occupants of vehicle 15 and vehicle 16 confirm their orders. The electricity sales platform then automatically settles the revenue for the co-driver of vehicle 15 based on the actual amount of electricity sold (of course, the occupants of vehicle 16 can pay the relevant fees in advance before this).

[0117] It should be noted that the embodiment of the present application does not restrict the current charge of the power battery in vehicle 16 before charging. For example, the battery may have the minimum SOC remaining, or a relatively large amount of charge may remain. In fact, this solution does not restrict the relative size of the current charge of the power battery in vehicle 15 and the current charge of the power battery in vehicle 16. In addition to the situation where the battery is low and cannot be driven and requires temporary charging, vehicle 16 can also initiate the above-mentioned power purchase order when it has a relatively large amount of charge remaining (even more than the current charge of the power battery in vehicle 15) and be charged by vehicle 15 (because vehicle 15 may be close to its destination, while vehicle 16 may still be far away from its destination). This will not be further explained.

[0118] The solution of embodiment 3 is applicable to scenarios where electricity is temporarily sold to vehicles, such as road rescue and emergency charging.

[0119] See Figure 4 , Figure 4This is a hardware structure diagram of an electronic device shown in an exemplary embodiment. At the hardware level, the device includes a processor 402, an internal bus 404, a network interface 406, a memory 408, and a non-volatile memory 410, and of course may also include hardware required for other services. One or more embodiments of the present application can be implemented based on software, such as the processor 402 reading the corresponding computer program from the non-volatile memory 410 into the memory 408 and then running it. Of course, in addition to software implementation, one or more embodiments of the present application do not exclude other implementation methods, such as logic devices or a combination of software and hardware, etc., that is, the execution subject of the following processing flow is not limited to each logic unit, but can also be hardware or logic devices.

[0120] See Figure 5 , Figure 5 This is a block diagram of a device for selling electricity from a vehicle to an external party, as shown in an exemplary embodiment. The device for selling electricity from a vehicle to an external party can be applied to Figure 4 The electronic device shown in the figure is used to implement the technical solution of the present application. The vehicle is equipped with a power battery, and the device includes: An information acquisition unit 501 is configured to acquire information related to the amount of electricity sold for this electricity sale, wherein the information related to electricity sales includes the current amount of electricity of the power battery and information related to the expected travel of the vehicle, wherein the expected travel information includes expected vehicle information, expected road information, and / or expected weather information corresponding to the vehicle's travel plan after the completion of this electricity sale; The model calling unit 502 is configured to call the smart electricity sales model to predict the current saleable electricity based on the electricity sales related information, wherein the difference between the current electricity and the current saleable electricity is not less than the electricity required for the travel plan; The power output unit 503 is used to trigger the power battery to output power to the powered device, wherein the actual power sales amount output is not greater than the current saleable power amount.

[0121] Optionally, the information acquisition unit 501 is specifically configured to: Receive a travel plan reported by an associated user of the vehicle, or predict the travel plan of the vehicle based on the historical travel record of the vehicle; and determine corresponding expected travel-related information based on the travel plan.

[0122] Optionally, the information acquisition unit 501 is specifically configured to: Determine the travel trajectory and travel time period of the vehicle after the completion of this electricity sale based on the travel plan; and obtain expected road information corresponding to the travel trajectory, and / or obtain expected weather information corresponding to the travel trajectory and the travel time period.

[0123] Optionally, it also includes a display unit for triggering the display device equipped on the vehicle or the terminal device used by the associated user to display at least one of the following contents: the expected travel-related information corresponding to the travel plan, the amount of electricity required for the travel plan, and the amount of electricity that can be sold this time.

[0124] Optionally, the system further includes an adjustment unit configured to, upon receiving a content adjustment instruction issued for the displayed content, re-determine the adjusted current saleable electricity amount according to the content adjustment instruction; The content adjustment instruction is initiated by the vehicle in response to a vehicle occupant performing a first adjustment action on the content displayed by the display device, or is initiated by the terminal device in response to the associated user performing a second adjustment action on the content displayed by the terminal device.

[0125] Optionally, the system further includes a revenue maximization unit configured to determine a time period during which electricity can be sold based on the expected travel-related information and obtain electricity price information within the time period during which electricity can be sold; and to call the intelligent electricity sales model to generate a discharge strategy within the time period during which electricity can be sold based at least on the electricity price information and the current amount of electricity available for sale, wherein the goal of the discharge strategy includes maximizing the revenue from the current electricity sales. The power output unit 503 is specifically configured to trigger the power battery to output power to the powered device according to the discharge strategy.

[0126] Optionally, a power transmission loss unit is further included, configured to obtain power transmission loss information of a power transmission path between the power battery and the power receiving device; The profit maximization unit is specifically used to: call the smart electricity sales model to generate a discharge strategy within the electricity sales time period based on the electricity price information, the current saleable electricity quantity and the transmission loss information.

[0127] Optionally, the system further includes a loss minimization unit configured to obtain battery loss information of the power battery and invoke the intelligent power selling model to generate a discharge strategy for the current power selling based at least on the battery loss information and the current sellable power quantity, wherein the discharge strategy aims to minimize the battery loss for the current power selling; The power output unit 503 is specifically configured to trigger the power battery to output power to the powered device according to the discharge strategy.

[0128] Optionally, the system further includes a constraint condition specifying unit configured to: Specifying boundary constraints for the current saleable power quantity to the smart power vending model, so that the difference between the current power quantity and the current saleable power quantity output by the smart power vending model is not less than the minimum state of charge (SOC) of the power battery and not greater than the maximum capacity of the power battery; Specifying a power constraint condition for the power battery to the smart electricity vending model so that the power output power of the power battery output by the smart electricity vending model is not greater than the maximum discharge power of the power battery; Specifying a demand constraint condition for the amount of electricity required for the trip to the smart electricity vending model so that the difference between the current amount of electricity and the currently salable amount of electricity output by the smart electricity vending model is not less than the amount of electricity required for the trip; The smart electricity vending model is assigned a redundancy multiple for the current saleable electricity amount so that the difference between the current electricity amount and the current saleable electricity amount output by the smart electricity vending model is equal to the product of the electricity required for the trip and the redundancy multiple, and the redundancy multiple is greater than 1.

[0129] Optionally, it further includes a power transmission parameter adjustment unit, which is used to: During the process of the power battery outputting electric energy to the powered device, electric energy related information of the power battery and / or the powered device is obtained, and power transmission parameters of the power battery are adjusted according to the electric energy related information.

[0130] Optionally, it also includes an energy replenishment unit for: After the vehicle completes selling electricity, the energy charging status information of the energy charging device is obtained in real time; The smart electricity vending model is called to generate an energy replenishment strategy for the vehicle based at least on the travel plan and the energy replenishment status information, and the energy replenishment strategy is recommended to the vehicle and / or an associated user of the vehicle.

[0131] Optionally, the energy replenishment equipment includes a charging pile and / or a battery swap station.

[0132] Optionally, it also includes a battery life optimization unit for: During the actual travel of the vehicle after the completion of the electricity sale, real-time travel-related information of the vehicle is obtained, the real-time travel-related information including current vehicle information, current road information and current weather information of the vehicle; The intelligent electricity vending model is called to generate a range optimization strategy for the vehicle based on the real-time travel-related information, and the vehicle is instructed to travel according to the range optimization strategy.

[0133] Optionally, the battery life optimization unit is specifically used for at least one of the following: In a case where the range optimization strategy includes a real-time path, instructing the driver of the vehicle to drive the vehicle according to the real-time path, or controlling the vehicle to travel according to the real-time path; When the cruising range optimization strategy includes lateral and longitudinal control instructions, controlling the vehicle to travel according to the lateral and longitudinal control instructions; In a case where the range optimization strategy includes a high-power-consuming function management instruction, the high-power-consuming function of the vehicle is turned off or controlled to operate in a low-power consumption mode according to the high-power-consuming function management instruction.

[0134] Optionally, when the battery life optimization strategy includes a high power consumption function management instruction, the battery life optimization unit is specifically configured to: shutting down the high-power-consuming function of the vehicle or controlling the high-power-consuming function to operate in a low-power consumption mode according to the high-power-consuming function management instruction, and outputting a control prompt message for the high-power-consuming function to the occupants of the vehicle; or Output a control inquiry message for the high-power consumption function to the vehicle's passengers, and after receiving a control confirmation instruction fed back by the vehicle's passengers, turn off the vehicle's high-power consumption function or control the high-power consumption function to operate in a low-power consumption mode.

[0135] Optionally, the powered device includes at least one of the following: power grid equipment, energy storage equipment, and other vehicles.

[0136] The implementation process of the functions and effects of each unit in the device is specifically described in the implementation process of the corresponding steps in the method, which will not be repeated here.

[0137] Accordingly, the present invention also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the method for selling electricity from a vehicle to an external party as described in any of the above embodiments.

[0138] Accordingly, the present application also provides a computer program product, including a computer program / instruction, which, when executed by a processor, implements the steps of the method for selling electricity from a vehicle to an external party as described in any of the above embodiments.

[0139] For the device embodiments, since they basically correspond to the method embodiments, the relevant parts can be referred to the partial description of the method embodiments. The device embodiments described above are only schematic, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the present application scheme. A person of ordinary skill in the art can understand and implement it without paying any creative work.

[0140] The systems, devices, modules, or units described in the embodiments may be implemented by computer chips or entities, or by products having certain functions. A typical implementation device is a computer, which may be in the form of a personal computer, laptop computer, cellular phone, camera phone, smartphone, personal digital assistant, media player, navigation device, email device, game console, tablet computer, wearable device, or any combination of these devices.

[0141] In a typical configuration, a computer includes one or more processors (CPUs), input / output interfaces, network interfaces, and memory.

[0142] Memory may include non-permanent storage in a computer-readable medium, random access memory (RAM) and / or non-volatile memory in the form of read-only memory (ROM) or flash RAM. Memory is an example of a computer-readable medium.

[0143] Computer-readable media includes both permanent and non-permanent, removable and non-removable media that can be implemented using any method or technology to store information. Information can be computer-readable instructions, data structures, program modules, or other data. Examples of computer storage media include, but are not limited to, phase-change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technologies, compact disc read-only memory (CD-ROM), digital versatile disc (DVD) or other optical storage, magnetic cassettes, magnetic disk storage, quantum memory, graphene-based storage media or other magnetic storage devices, or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer-readable media does not include transitory computer-readable media such as modulated data signals and carrier waves.

[0144] It should also be noted that the terms "comprises," "includes," or any other variations thereof are intended to encompass non-exclusive inclusion, such that a process, method, commodity, or apparatus that includes a series of elements includes not only those elements but also other elements not explicitly listed, or includes elements inherent to such process, method, commodity, or apparatus. In the absence of further limitations, an element defined by the phrase "comprises a ..." does not exclude the presence of other identical elements in the process, method, commodity, or apparatus that includes the element.

[0145] The foregoing description is for specific embodiments of the present application. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recited in the claims may be performed in an order different from that described in the embodiments and still achieve the desired results. Furthermore, the processes depicted in the accompanying drawings do not necessarily require the specific order shown or the sequential order to achieve the desired results. In certain embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0146] The terms used in one or more embodiments of the present application are for the purpose of describing specific embodiments only and are not intended to limit one or more embodiments of the present application. The singular forms "a", "the" and "the" used in one or more embodiments of the present application and the appended claims are also intended to include plural forms unless the context clearly indicates otherwise. It should also be understood that the term "and / or" used herein refers to and includes any or all possible combinations of one or more associated listed items.

[0147] It should be understood that although the terms first, second, third, etc. may be used to describe various information in one or more embodiments of the present application, such information should not be limited to these terms. These terms are only used to distinguish information of the same type from each other. For example, without departing from the scope of one or more embodiments of the present application, the first information may also be referred to as the second information, and similarly, the second information may also be referred to as the first information. Depending on the context, the word "if" as used herein may be interpreted as "at the time of" or "when" or "in response to determining".

[0148] The above description is merely a preferred embodiment of one or more embodiments of the present application and is not intended to limit one or more embodiments of the present application. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of one or more embodiments of the present application shall be included in the scope of protection of one or more embodiments of the present application.

[0149] The user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with the relevant laws, regulations and standards of relevant countries and regions, and provide corresponding operation entrances for users to choose to authorize or refuse.

Claims

1. A method for selling electricity from a vehicle, characterized in that: The vehicle is equipped with a power battery, and the method includes: Obtaining information related to the amount of electricity sold for this electricity sale, the information related to electricity sales including the current amount of electricity of the power battery and information related to the expected travel of the vehicle, the information related to the expected travel including expected vehicle information, expected road information, and / or expected weather information corresponding to the vehicle's travel plan after the completion of this electricity sale; Invoking a smart electricity sales model to predict the current saleable electricity based on the electricity sales related information, wherein the difference between the current electricity and the current saleable electricity is not less than the electricity required for the travel plan; The power battery is triggered to output electric energy to the powered device, wherein the actual sold power amount output is not greater than the currently sold power amount.

2. The method according to claim 1, characterized in that The obtaining of the expected travel related information of the vehicle includes: Receive a travel plan reported by an associated user of the vehicle, or predict the travel plan of the vehicle based on the historical travel record of the vehicle; and determine corresponding expected travel-related information based on the travel plan.

3. The method according to claim 2, characterized in that Determining the corresponding expected travel related information based on the travel plan includes: Determine the travel trajectory and travel time period of the vehicle after the completion of this electricity sale based on the travel plan; and obtain expected road information corresponding to the travel trajectory, and / or obtain expected weather information corresponding to the travel trajectory and the travel time period.

4. The method according to claim 2 or 3, characterized in that Also includes: The display device installed on the vehicle or the terminal device used by the associated user is triggered to display at least one of the following contents: the expected travel-related information corresponding to the travel plan, the amount of electricity required for the travel plan, and the amount of electricity that can be sold this time.

5. The method according to claim 4, characterized in that Also includes: Upon receiving a content adjustment instruction issued for the displayed content, re-determining the adjusted current saleable electricity quantity according to the content adjustment instruction; The content adjustment instruction is initiated by the vehicle in response to a vehicle occupant performing a first adjustment action on the content displayed by the display device, or is initiated by the terminal device in response to the associated user performing a second adjustment action on the content displayed by the terminal device.

6. The method according to claim 1, characterized in that The method further includes: determining a time period during which electricity can be sold based on the expected travel-related information, and obtaining electricity price information within the time period during which electricity can be sold; calling the intelligent electricity sales model to generate a discharge strategy within the time period during which electricity can be sold based at least on the electricity price information and the current saleable electricity quantity, wherein the discharge strategy aims to maximize the revenue from the current electricity sales; The triggering the power battery to output electric energy to the powered device includes: triggering the power battery to output electric energy to the powered device according to the discharge strategy.

7. The method according to claim 6, characterized in that Also includes: acquiring, for a power transmission path between the power battery and the power receiving device, power transmission loss information of the power transmission path; The calling of the smart electricity selling model to generate a discharge strategy within the electricity selling time period based at least on the electricity price information and the current saleable electricity quantity includes: calling the smart electricity selling model to generate a discharge strategy within the electricity selling time period based on the electricity price information, the current saleable electricity quantity and the transmission loss information.

8. The method according to claim 1, 6 or 7, characterized in that Also includes: Obtaining battery loss information of the power battery, and calling the intelligent power selling model to generate a discharge strategy for the current power selling based at least on the battery loss information and the current sellable power quantity, wherein the discharge strategy aims to minimize the battery loss for the current power selling; The triggering the power battery to output electric energy to the powered device includes: triggering the power battery to output electric energy to the powered device according to the discharge strategy.

9. The method according to claim 1, characterized in that Also includes at least one of the following: Specifying boundary constraints for the current saleable power quantity to the smart power vending model, so that the difference between the current power quantity and the current saleable power quantity output by the smart power vending model is not less than the minimum state of charge (SOC) of the power battery and not greater than the maximum capacity of the power battery; Specifying a power constraint condition for the power battery to the smart electricity vending model so that the power output power of the power battery output by the smart electricity vending model is not greater than the maximum discharge power of the power battery; Specifying a demand constraint condition for the amount of electricity required for the trip to the smart electricity vending model so that the difference between the current amount of electricity and the currently salable amount of electricity output by the smart electricity vending model is not less than the amount of electricity required for the trip; The smart electricity vending model is assigned a redundancy multiple for the current saleable electricity amount so that the difference between the current electricity amount and the current saleable electricity amount output by the smart electricity vending model is equal to the product of the electricity required for the trip and the redundancy multiple, and the redundancy multiple is greater than 1.

10. The method according to claim 1, characterized in that Also includes: During the process of the power battery outputting electric energy to the powered device, electric energy related information of the power battery and / or the powered device is obtained, and power transmission parameters of the power battery are adjusted according to the electric energy related information.

11. The method according to claim 1, wherein Also includes: After the vehicle completes selling electricity, the energy charging status information of the energy charging device is obtained in real time; The smart electricity vending model is called to generate an energy replenishment strategy for the vehicle based at least on the travel plan and the energy replenishment status information, and the energy replenishment strategy is recommended to the vehicle and / or an associated user of the vehicle.

12. The method according to claim 11, characterized in that The energy replenishment equipment includes charging piles and / or battery swap stations.

13. The method according to claim 1, wherein Also includes: During the actual travel of the vehicle after the completion of the electricity sale, real-time travel-related information of the vehicle is obtained, the real-time travel-related information including current vehicle information, current road information and current weather information of the vehicle; The intelligent electricity vending model is called to generate a range optimization strategy for the vehicle based on the real-time travel-related information, and the vehicle is instructed to travel according to the range optimization strategy.

14. The method according to claim 13, characterized in that The instructing the vehicle to travel according to the range optimization strategy includes at least one of the following: In a case where the range optimization strategy includes a real-time path, instructing the driver of the vehicle to drive the vehicle according to the real-time path, or controlling the vehicle to travel according to the real-time path; When the cruising range optimization strategy includes lateral and longitudinal control instructions, controlling the vehicle to travel according to the lateral and longitudinal control instructions; In a case where the range optimization strategy includes a high-power-consuming function management instruction, the high-power-consuming function of the vehicle is turned off or controlled to operate in a low-power consumption mode according to the high-power-consuming function management instruction.

15. The method according to claim 14, characterized in that In a case where the range optimization strategy includes a high-power-consuming function management instruction, shutting down the high-power-consuming function of the vehicle or controlling the high-power-consuming function to operate in a low-power consumption mode according to the high-power-consuming function management instruction includes: shutting down the high-power-consuming function of the vehicle or controlling the high-power-consuming function to operate in a low-power consumption mode according to the high-power-consuming function management instruction, and outputting a control prompt message for the high-power-consuming function to the occupants of the vehicle; or Output a control inquiry message for the high-power consumption function to the vehicle's passengers, and after receiving a control confirmation instruction fed back by the vehicle's passengers, turn off the vehicle's high-power consumption function or control the high-power consumption function to operate in a low-power consumption mode.

16. The method according to claim 1, wherein The powered equipment includes at least one of the following: power grid equipment, energy storage equipment, and other vehicles.

17. An electronic device comprising: a processor, a memory for storing instructions executable by the processor, and a variety of sensors; The processor implements the method according to any one of claims 1 to 16 by running the executable instructions.

18. A computer program product comprising a computer program and / or instructions, characterized in that When the computer program and / or instructions are executed by a processor, the steps of the method according to any one of claims 1 to 16 are implemented.

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