Vehicle energy consumption optimization display method and hybrid vehicle

Abstract

The invention discloses a vehicle energy consumption optimization display method and a hybrid vehicle, relates to the technical field of vehicles, and is used for improving the user experience when a user uses an energy consumption management function. The vehicle energy consumption optimization display method comprises the step of outputting energy consumption management information under the condition that a vehicle is in a navigation mode and an energy consumption management function is in an enabled state.

Description

Technical Field

[0001] The present application relates to the field of vehicle technology, and in particular to a method for demonstrating vehicle energy consumption optimization and a hybrid vehicle. Background Art

[0002] With the energy crisis and environmental issues becoming increasingly severe, energy conservation and emission reduction have become a key development direction for the automotive industry. Hybrid electric vehicles, as energy-efficient and environmentally friendly transportation options, have become a key product in the automotive industry's response to the call for energy conservation and emission reduction, demonstrating tremendous potential in this area. However, to fully realize this potential, optimizing hybrid vehicle energy consumption management is crucial.

[0003] The user experience of energy management in vehicles using existing technologies is generally poor. This poor experience isn't caused by a single factor, but rather the result of multiple issues intertwined throughout every aspect of the vehicle experience. In particular, the intelligence of the energy management system can significantly impact the overall user experience. Summary of the Invention

[0004] The present application provides a method for displaying vehicle energy consumption optimization and a hybrid vehicle, which are used to enhance the user experience of the energy consumption management function.

[0005] To achieve the above objectives, this application adopts the following technical solutions:

[0006] In a first aspect, an embodiment of the present application provides a method for displaying vehicle energy consumption optimization, including: outputting energy consumption management information when the vehicle is in navigation mode and the energy consumption management function is enabled.

[0007] The method for displaying vehicle energy consumption optimization provided in the embodiment of the present application outputs energy consumption management information when the vehicle is in navigation mode and the energy consumption management function is enabled. It is understandable that when the vehicle is in navigation mode, the navigation can provide the vehicle with a target route to be traveled, so that the energy consumption management function can optimize the vehicle's energy consumption based on the target route, thereby achieving the purpose of improving the vehicle's energy consumption efficiency. Furthermore, at the same time, the real-time display of energy consumption optimization information allows users to intuitively understand the system's working status and energy-saving effects, which not only enhances the user's trust in the intelligent system, but also improves the overall user experience, thereby helping to improve the user's satisfaction, trust and user experience with the energy consumption management function.

[0008] In some embodiments, the energy consumption management function is used to determine the power mode adopted by the vehicle when traveling on each target section of the navigation route based on artificial intelligence technology.

[0009] In some embodiments, the energy consumption management information includes an energy consumption management identifier, and outputting the energy consumption management information includes: displaying the energy consumption management identifier along the navigation path in the vehicle's navigation interface.

[0010] In some embodiments, the navigation interface also includes a vehicle position mark; the energy consumption management mark is set in the area below the vehicle position mark, and the distance from the vehicle position mark is less than or equal to a preset distance.

[0011] In some embodiments, the method further includes: displaying lane-level navigation and / or autonomous driving navigation in the navigation interface, or hiding the energy consumption management logo when the scale of the map in the navigation interface is less than a preset scale threshold.

[0012] In some embodiments, the energy consumption management information includes energy consumption optimization information, and outputting the energy consumption management information includes: in response to the end of vehicle navigation, outputting energy consumption optimization information, the energy consumption optimization information is used to characterize the actual energy consumption information of the vehicle traveling the navigation route, and the difference between the estimated energy consumption information of the vehicle traveling the navigation route without enabling the energy consumption management function.

[0013] In some embodiments, the energy consumption optimization information includes at least one of the following: fuel quantity optimization information, power quantity optimization information, and comprehensive optimization information; the comprehensive optimization information is determined based on the fuel quantity optimization information and the equivalent fuel quantity information corresponding to the power quantity optimization information, and is used to characterize the vehicle's fuel optimization status.

[0014] In some embodiments, outputting energy consumption optimization information includes at least one of the following: displaying the energy consumption optimization information on the navigation end interface; displaying the energy consumption optimization information on the trip record interface; broadcasting the energy consumption optimization information in voice form; and outputting the energy consumption optimization information to the terminal device.

[0015] In some embodiments, the method further includes: determining that the vehicle navigation ends when the distance between the vehicle and the destination is less than or equal to a preset distance; or, determining that the vehicle navigation ends in response to receiving a touch operation on a function control to exit navigation; or, determining that the vehicle navigation ends in response to receiving a voice command to end navigation.

[0016] In some embodiments, the energy consumption management information includes real-time energy consumption optimization information; outputting the energy consumption management information includes: displaying real-time energy consumption optimization information during vehicle driving, the real-time energy consumption optimization information is used to characterize the difference between the actual energy consumption information of the vehicle when traveling from the initial location to the current location with the energy consumption management function enabled, and the estimated energy consumption information of the vehicle when traveling from the initial location to the current location without enabling the energy function.

[0017] In some embodiments, the method also includes: displaying candidate routes on a navigation planning interface, and estimated energy consumption optimization information corresponding to the candidate routes; or, displaying candidate routes on a navigation planning interface, and first estimated energy consumption information and / or second estimated energy consumption information corresponding to the candidate routes; wherein the first estimated energy consumption information is used to characterize the estimated energy consumption information of the vehicle traveling the candidate route with the energy consumption management function enabled, and the second estimated energy consumption information is used to characterize the estimated energy consumption information of the vehicle traveling the candidate route without enabling the energy function; the estimated energy consumption optimization information is used to characterize the gap between the first estimated energy consumption information and the second estimated energy consumption information.

[0018] In some embodiments, the method further includes: in response to the vehicle enabling an energy consumption management function, obtaining characteristic information of a target section in a target route; and based on the characteristic information of the target section in the target route, controlling the vehicle to travel on the target section in a power mode that matches the target section in a plurality of power modes.

[0019] In some embodiments, based on characteristic information of a target section in a target route, a vehicle is controlled to travel on the target section in a power mode that matches the target section among multiple power modes, including: inputting the characteristic information of the target section into a power mode determination model based on artificial intelligence, and obtaining a power mode that matches the target section output by the power mode determination model; and controlling the vehicle to travel on the target section in a power mode that matches the target section among multiple power modes.

[0020] In some embodiments, based on characteristic information of a target section in a target route, a vehicle is controlled to travel on the target section in a power mode that matches the target section among multiple power modes, including: obtaining user driving habit information and / or vehicle driving status information; based on the characteristic information of the target section and the user driving habit information and / or vehicle driving status information, controlling the vehicle to travel on the target section in a power mode that matches the target section among multiple power modes.

[0021] In some embodiments, based on characteristic information of the target road section and user driving habit information and / or vehicle driving status information, the vehicle is controlled to travel on the target road section in a power mode that matches the target road section among multiple power modes, including: inputting the characteristic information of the target road section and user driving habit information and / or vehicle driving status information into a power mode determination model based on artificial intelligence, and obtaining the power mode that matches the target road section output by the power mode determination model; the vehicle driving status information includes at least one of the following: the real-time remaining power of the vehicle, the real-time remaining fuel of the vehicle; and controlling the vehicle to travel on the target road section in a power mode that matches the target road section among multiple power modes.

[0022] In some embodiments, the multiple power modes include at least a pure electric mode and a hybrid mode.

[0023] In some embodiments, the characteristic information of the target road segment includes at least one of the following: road segment type, estimated travel time, estimated travel speed, road segment length, traffic light characteristics, and congestion characteristics.

[0024] In some embodiments, the target road segment in the target route is determined by: obtaining characteristic information of multiple initial road segments corresponding to the target route; the initial road segment is the road segment between two adjacent intersections in the target route; based on preset merging rules, the multiple initial road segments are merged according to the characteristic information of the multiple initial road segments to obtain one or more target road segments.

[0025] In some embodiments, the preset merging rules include one or more of the following: using the signal light feature to characterize the initial road segment with the signal light to determine it as the target road segment; merging adjacent initial road segments whose estimated speed difference is less than a preset speed threshold; merging the initial road segment whose road segment length is less than a preset length threshold into the longest initial road segment among the adjacent road segments.

[0026] In some embodiments, the estimated travel speed of the target road segment is determined based on the average estimated travel speed of the initial road segment corresponding to the target road segment.

[0027] In some embodiments, when the characteristic information of the target road section includes congestion characteristics, the estimated travel speed of the target road section is determined in the following manner: the initial travel speed corresponding to the target road section is determined based on the average estimated travel speed of the initial road section corresponding to the target road section; the initial travel speed is corrected based on the congestion characteristics corresponding to the target road section to obtain the estimated travel speed of the target road section.

[0028] In some embodiments, the method further includes: receiving an instruction to enable the energy consumption management function; and enabling the energy consumption management function in response to the instruction to enable.

[0029] In some embodiments, receiving an instruction to turn on the energy consumption management function includes: receiving a trigger operation on the management control of the energy consumption management function; wherein the management control of the energy consumption management function is located on the center console of the vehicle; or the management control of the energy consumption management function is located in the interface of the map application; or, receiving a voice instruction to turn on the energy consumption management function; or, receiving an instruction to turn on the energy consumption management function sent by a remote device.

[0030] In some embodiments, the method also includes: in response to the user opening a map application, displaying a pop-up window prompting the energy management function on the map interface; wherein, when the energy management function is enabled, the pop-up window prompts that the energy management function is in use; or, when the energy management function is disabled, the pop-up window prompts the user whether to enable the energy management function.

[0031] In some embodiments, the pop-up priority of the energy consumption management pop-up window is higher than the pop-up priority of other pop-up windows, and other pop-up windows include one or more of the following: commuting card, low oil pop-up window, low battery pop-up window, and continue navigation card.

[0032] In some embodiments, the method also includes: closing the energy consumption management pop-up window when preset conditions are met; the preset conditions include one or more of the following: the display time of the energy consumption management pop-up window is greater than or equal to the preset time; the number of times the energy consumption management pop-up window is displayed is greater than or equal to the preset number of times; receiving an instruction to close the energy consumption management pop-up window.

[0033] In some embodiments, the method further includes: in response to the vehicle switching the power mode based on the energy consumption management function, outputting prompt information for prompting the switching of the power mode.

[0034] In some embodiments, the method further includes: when the energy consumption management function is not enabled in the vehicle, if it is determined that the navigation route of the vehicle meets the usage requirements of the energy consumption management function, outputting a prompt message for enabling the energy consumption management function or enabling the energy consumption management function.

[0035] In some embodiments, the requirements for using the energy consumption management function include at least one of the following: the navigation route includes a first type of target section and a second type of target section; the first type of target section is a target section with an estimated passing speed lower than a first preset speed, and the second type of target section is a target section with an estimated passing speed higher than a second preset speed; the length of the navigation route is higher than a preset length threshold; the vehicle supports the energy consumption management function.

[0036] In a second aspect, an embodiment of the present application provides an electronic device, comprising a processor and a memory, wherein the processor is connected to the memory, and the memory stores computer instructions. When the computer instructions are executed on the electronic device, the electronic device executes the method provided by the above-mentioned first aspect and its possible implementation, or the method provided by the second aspect and its possible implementation.

[0037] In a third aspect, an embodiment of the present application provides a computer-readable storage medium, which stores computer-executable instructions. When the computer-executable instructions are run on a computer, the computer executes the method provided by the first aspect and its possible implementation methods.

[0038] In a fourth aspect, an embodiment of the present application provides a hybrid vehicle, comprising the electronic device provided in the second aspect, or the computer-readable storage medium provided in the third aspect.

[0039] In a fifth aspect, an embodiment of the present application provides a computer program product, which includes instructions. When the instructions are executed on a computer, the computer executes the method provided in the first aspect and its possible implementation methods.

[0040] The technical effects brought about by any implementation method of the second to fifth aspects mentioned above can refer to the technical effects brought about by the first aspect, and will not be repeated here. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0042] Figure 1 A schematic structural diagram of a hybrid vehicle provided in an embodiment of the present application;

[0043] Figure 2 A method flow for displaying a vehicle energy consumption optimization method provided in an embodiment of the present application Figure 1 ;

[0044] Figure 3 A schematic diagram of an energy consumption management identifier for an energy consumption management function provided in an embodiment of the present application;

[0045] Figure 4 A schematic diagram of an energy consumption management identifier for another energy consumption management function provided in an embodiment of the present application;

[0046] Figure 5 A schematic diagram of outputting energy consumption optimization information provided in an embodiment of the present application;

[0047] Figure 6 A schematic diagram of another embodiment of the present application providing output energy consumption optimization information;

[0048] Figure 7 A method flow for displaying a vehicle energy consumption optimization method provided in an embodiment of the present application Figure 2 ;

[0049] Figure 8 A method flow for displaying a vehicle energy consumption optimization method provided in an embodiment of the present application Figure 3 ;

[0050] Figure 9 A schematic diagram of an energy consumption management pop-up window provided in an embodiment of the present application;

[0051] Figure 10A schematic diagram of another energy consumption management pop-up window provided in an embodiment of the present application;

[0052] Figure 11 A schematic diagram of the structure of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0053] The following will be combined with the accompanying drawings to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the embodiments described are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments provided in this application, all other embodiments obtained by ordinary technicians in this field are within the scope of protection of this application.

[0054] In the embodiments of the present application, the terms "center", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", etc., indicating the orientation or position relationship, are based on the orientation or position relationship shown in the accompanying drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as limiting the present invention.

[0055] In the embodiments of this application, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the features. In the description of the embodiments of this disclosure, unless otherwise specified, "plurality" means two or more.

[0056] In the embodiments of the present application, the terms "comprises," "comprising," or any other variations thereof are intended to encompass non-exclusive inclusion, such that a process, method, article, or apparatus comprising a series of elements includes not only those elements but also other elements not explicitly listed, or elements inherent to such process, method, article, or apparatus. In the absence of further limitations, an element defined by the phrase "comprising a ..." does not preclude the presence of other identical elements in the process, method, article, or apparatus comprising the element.

[0057] “A and / or B” includes the following three combinations: A only, B only, and a combination of A and B.

[0058] With the energy crisis and environmental issues becoming increasingly severe, energy conservation and emission reduction have become a key development direction for the automotive industry. Hybrid electric vehicles, as energy-efficient and environmentally friendly transportation options, have become a key product in the automotive industry's response to the call for energy conservation and emission reduction, demonstrating tremendous potential in this area. However, to fully realize this potential, optimizing hybrid vehicle energy consumption management is crucial.

[0059] The user experience of energy management in vehicles using existing technologies is generally poor. This poor experience isn't caused by a single factor, but rather the result of multiple issues intertwined throughout every aspect of the vehicle experience. In particular, the intelligence of the energy management system can significantly impact the overall user experience.

[0060] Specifically, even when the vehicle's energy management function is enabled, most users still struggle to intuitively and specifically understand how much energy this feature has saved them. This is primarily because the energy management system often operates in the background, quietly optimizing the vehicle's energy distribution and efficiency. While users may only experience smoother and more comfortable driving, they struggle to directly quantify the energy savings resulting from this performance improvement.

[0061] Therefore, for many users, although they enjoy the benefits brought by the energy management function, they lack a clear understanding of how and to what extent this function saves energy, resulting in a poor user experience.

[0062] Based on this, an embodiment of the present application provides a method for displaying vehicle energy consumption optimization, which outputs energy consumption management information when the vehicle is in navigation mode and the energy consumption management function is enabled. It is understandable that when the vehicle is in navigation mode, the navigation can provide the vehicle with a target route to be traveled, so that the energy consumption management function can optimize the vehicle's energy consumption based on the target route, thereby achieving the purpose of improving the vehicle's energy consumption efficiency. Furthermore, at the same time, the real-time display of energy consumption optimization information allows users to intuitively understand the system's working status and energy-saving effects, which not only enhances the user's trust in the intelligent system, but also improves the overall user experience, thereby helping to improve the user's satisfaction, trust and user experience with the energy consumption management function.

[0063] It should be noted that the vehicle energy consumption optimization method provided in the embodiments of the present application is applicable to hybrid vehicles with an energy consumption management function (Power Energy Management, PEM). The energy consumption management function is used to determine the power mode adopted by the vehicle when traveling on each target section of the target route based on artificial intelligence technology, so that the vehicle can automatically switch between different power modes (such as hybrid mode and pure electric mode). It should be noted that in some embodiments, the energy consumption management function can also be referred to as AI energy consumption management.

[0064] Figure 1 FIG. 1 is a schematic diagram of the structure of a hybrid vehicle provided in an embodiment of the present application. Figure 1 As shown, the hybrid vehicle may include: a vehicle control unit (VCU) 11 and a central control host 12. Figure 1 As shown, data transmission and interaction can be performed between the VCU 11 and the central control host 12 via Controller Area Network (CAN) communication.

[0065] In some embodiments, as Figure 1 As shown, a power mode determination model (also referred to as a PEM working model) is provided in the VCU 11, which is used to implement the energy consumption management function of the vehicle, that is, to determine the power mode matching the target road section.

[0066] In some embodiments, as Figure 1 As shown, the central control host 12 may be installed with an operating system and a map (Application, APP) to facilitate human-computer interaction with the user. Figure 1 As shown, data transmission and interaction can be performed between the operating system and the map APP through the Application Programming Interface (API).

[0067] Among them, the operating system supports PEM function setting, human-machine interface (HMI) function and message forwarding function.

[0068] It should be understood that the PEM function setting is used to configure content related to the PEM function, such as the activation status of the PEM function, the display timing of the energy consumption management pop-up window, etc., and the embodiments of the present application do not limit this.

[0069] The HMI function uses a graphical interface to intuitively present complex information such as vehicle status, system settings, and navigation information to users, reducing their cognitive burden. Users can interact with the HMI interface through touch screens and voice input, achieving fast and accurate operation.

[0070] The message forwarding function is used to realize data communication between VCU11 and map APP.

[0071] In some embodiments, as Figure 1 As shown, the map APP is equipped with a PEM working module and an HMI function.

[0072] The PEM module determines the power mode to be used by the vehicle on a target section of the target route based on the target route. The HMI function displays one or more pieces of information, such as the target route, power mode, and energy optimization data, to the user through a graphical interface.

[0073] In some embodiments, as Figure 1 As shown, the map APP can also include: a map data preprocessing module, a road segmentation module, a voice broadcast module, a service recommendation module and a data burial module.

[0074] Among them, the map data preprocessing module is mainly responsible for map data cleaning, format conversion, coordinate system conversion and other preprocessing tasks.

[0075] The road segmentation module can decompose complex road networks into multiple independent target segments, each of which contains specific attribute information such as length, direction, number of lanes and speed limit.

[0076] The voice broadcast module allows the map app to convey navigation information, road condition reminders, etc. to users through voice.

[0077] The service recommendation module is used to recommend nearby restaurants, hotels, gas stations and other service facilities to users based on information such as their geographic location, historical behavior and preferences.

[0078] The data embedding module implants codes at specific locations in the map app to monitor and capture user behavior or specific events, and reports the relevant data to the data server.

[0079] In some embodiments, as Figure 1 As shown, the central control host 12 may store vehicle / map data for use with the operating system and map APP.

[0080] It should be understood that Figure 1The hybrid vehicle shown does not constitute a limitation. In actual application, various modules in the hybrid vehicle can be selected according to needs. For example, the hybrid vehicle can also include an energy recovery module, a driving mode selection module, etc.

[0081] Specifically, the vehicle energy consumption optimization demonstration method provided in the embodiments of this application can be applied to the central control unit or vehicle controller of the hybrid vehicle at the hardware level, or to the map app or operating system at the software level. This embodiment of the application does not limit this. For ease of description, the following description uses the map app as an example.

[0082] See also Figure 2 The embodiment of the present application provides a method for displaying vehicle energy consumption optimization, including:

[0083] S101 : When a vehicle is in a navigation mode and an energy consumption management function is enabled, output energy consumption management information.

[0084] It should be understood that when the vehicle is in navigation mode, it can provide the vehicle with the target route to be traveled, thus providing the basic basis for the use of the energy management function. When the vehicle is in non-navigation mode, the map app cannot know the route the vehicle is about to travel, which means that there is no need to save energy through the energy management function. Therefore, in order to facilitate users to know the energy consumption saved by the vehicle while traveling the target route, energy optimization information is output when the vehicle is in navigation mode and the energy management function is enabled.

[0085] The vehicle energy consumption optimization display method provided in the embodiment of the present application displays energy consumption optimization information in real time, allowing users to intuitively understand the system working status and energy-saving effects, which not only enhances the user's trust in the intelligent system, but also improves the overall usage experience, thereby helping to improve the user's satisfaction, trust and usage experience with the energy consumption management function.

[0086] In some embodiments, the energy management function is used to determine the power mode to be used by the vehicle when traveling on each target section of the navigation route based on artificial intelligence (AI) technology. Therefore, in some embodiments, the energy management function can also be referred to as AI energy management.

[0087] As a feasible implementation, the vehicle's power modes can include hybrid mode and pure electric mode. The energy consumption management function is used to intelligently select the most appropriate power mode for the vehicle in hybrid mode or pure electric mode based on the characteristics of each target section of the vehicle's route, thereby maximizing energy utilization and optimizing driving efficiency.

[0088] For example, when the vehicle faces high-energy consumption scenarios (such as high-speed cruising, frequent start-stop, and uphill target sections) or the battery power is low, the energy consumption management function can automatically switch the vehicle's power mode to hybrid mode, using the combined action of the engine and electric motor to provide power to ensure the vehicle's endurance and performance.

[0089] As another example, in low-energy consumption scenarios such as low-speed driving, urban congestion, and downhill energy recovery, the energy consumption management function can automatically switch the vehicle's power mode to pure electric mode to reduce fuel consumption and emissions while extending the battery life.

[0090] The embodiments of the present application do not limit the method of enabling the energy management function. For example, the user can enable the energy management function by triggering the energy management identifier corresponding to the energy management function, outputting a voice command to enable the energy management function, etc.

[0091] In some embodiments, in order to facilitate the user to determine whether the energy consumption management function has been turned on during navigation, the energy consumption management indicator can be displayed in the vehicle's navigation interface. In other words, the energy consumption management information includes the energy consumption management indicator

[0092] As a feasible implementation method, outputting energy consumption management information includes: displaying an energy consumption management logo along the navigation path in the vehicle's navigation interface.

[0093] Understandably, the energy management indicator provides users with intuitive visual feedback, allowing them to instantly identify whether the energy management feature is enabled. This immediate feedback mechanism helps reduce user confusion and operational errors, improving the user experience. Furthermore, when users see the energy management indicator illuminated, they are more confident that they have successfully enabled the energy management feature, which helps encourage them to actively participate in energy conservation and emission reduction efforts.

[0094] As a feasible implementation method, the navigation interface also includes a vehicle position mark; the energy consumption management mark is set in the area below the vehicle position mark, and the distance from the vehicle position mark is less than or equal to a preset distance.

[0095] Since the vehicle position mark is used to represent the status of the vehicle, the vehicle is usually facing the upper area. In order to avoid the energy consumption management logo affecting the user's query of the vehicle status, the energy consumption management logo can be set in the area below the vehicle position mark.

[0096] Furthermore, by setting the distance between the energy management indicator and the vehicle location marker to be less than or equal to a preset distance, the energy management indicator and the vehicle location marker are closely integrated, further strengthening the user's functional reminder. When the user sees the vehicle location marker, they will naturally notice the energy management indicator below, making it easier for them to remember and pay attention to the status of the energy management function. This design helps to enhance user awareness and participation in energy-saving driving.

[0097] Furthermore, the proximity of the energy management icon and the vehicle's location marker allows users to easily view both elements simultaneously when viewing the navigation interface. This design allows users to quickly access required information without having to shift their gaze extensively across the interface, contributing to improved driving safety.

[0098] For example, see Figure 3 , Figure 3 The arrow shown in the figure is the vehicle position mark, the direction of the arrow is the navigation path of the vehicle, and the "AI" below the vehicle position mark is the energy consumption management logo of the energy consumption management function. When the energy consumption management function is enabled, the energy consumption management logo can be set to the first color (such as green). When the energy consumption management function is not enabled, the energy consumption management logo can be set to the second color (such as gray) or the energy consumption management logo can be not displayed.

[0099] It should be noted that the energy consumption management flag can be set at the lower level of other flags, such as Figure 4 As shown, to help users understand the vehicle's direction, a direction indicator "North" can be added to the vehicle's position mark. When the rear of the vehicle is facing north (i.e., the word "North" is below the vehicle's position mark), the direction indicator can be displayed above the energy management indicator to prevent it from covering the direction indicator.

[0100] As a feasible implementation method, the energy consumption management logo is hidden when the navigation interface is used to display lane-level navigation and / or autonomous driving navigation, or when the scale of the map in the navigation interface is smaller than a preset scale threshold.

[0101] Understandably, lane-level navigation and autonomous driving navigation typically require users to focus more closely on the current driving environment and navigation instructions. In these advanced navigation modes, the interface elements need to be more streamlined to avoid distracting the user. Therefore, when the navigation interface is used to display lane-level navigation and / or autonomous driving navigation, the energy management indicator can be hidden to reduce distractions on the navigation interface, allowing users to focus more on the navigation information, thereby improving driving safety.

[0102] When the map scale is smaller than the preset scale threshold, the information displayed on the interface becomes more macroscopic, and users may be more focused on the overall route and geographic location. In this case, the energy management icon may not be the most important information for the user. Hiding these icons can make the interface more concise and improve the user experience when viewing the macro map.

[0103] In some embodiments, in order to allow the user to intuitively see how much energy consumption is saved by the energy consumption management function during driving, the energy consumption management information may also include energy consumption optimization information.

[0104] As a feasible implementation method, the outputting of energy consumption management information includes: outputting energy consumption optimization information in response to the completion of vehicle navigation.

[0105] The energy consumption optimization information is used to represent the difference between the actual energy consumption information of the vehicle traveling along the navigation route and the estimated energy consumption information of the vehicle traveling along the navigation route without enabling the energy consumption management function.

[0106] Energy optimization information is a metric used to quantify the energy savings achieved when the vehicle's energy management function is enabled. The vehicle's operating states differ when the energy management function is enabled and disabled, resulting in different energy consumption information for the same target route.

[0107] Actual energy consumption refers to the amount of energy consumed by a vehicle traveling along a target route with the energy management function enabled. This information is typically obtained in real time through the vehicle's energy consumption monitoring system and reflects the vehicle's energy efficiency under actual conditions. Estimated energy consumption refers to the estimated energy consumption of a vehicle traveling the same route without the energy management function enabled. This information is typically estimated based on factors such as the vehicle's historical power mode, historical energy consumption data, route characteristics, and driving habits.

[0108] After obtaining the actual energy consumption information and the estimated energy consumption information, the energy consumption optimization information of the vehicle traveling on the target route can be determined. The energy consumption optimization information can provide users with an intuitive quantitative indicator of energy-saving effects, allowing users to more clearly understand the actual effects of the energy consumption management function.

[0109] In some embodiments, since the energy source of a hybrid vehicle is not limited to a single energy type, it can utilize both electricity and fuel as power sources.

[0110] In order to more intuitively obtain the savings of each energy source, as a feasible implementation method, the energy consumption optimization information may include: oil optimization information or power optimization information.

[0111] It should be understood that fuel optimization information primarily focuses on fuel consumption and its optimization effect, which can be represented by the difference between the vehicle's actual fuel consumption during driving with the energy management function enabled and the estimated fuel consumption without the function enabled. Power optimization information focuses on electrical energy utilization and its optimization effect, which can be represented by the difference between the vehicle's actual battery power consumption during driving with the energy management function enabled and the estimated power consumption without the function enabled.

[0112] Fuel and electricity differ in energy density, conversion efficiency, and price, making it difficult to directly compare their energy consumption. Therefore, as another feasible implementation method, energy consumption optimization information can include: comprehensive optimization information.

[0113] Among them, the comprehensive optimization information is determined based on the oil quantity optimization information and the equivalent oil quantity information corresponding to the power optimization information, and is used to characterize the vehicle's fuel optimization status.

[0114] In other words, the power optimization information is converted into equivalent fuel consumption information. This concept of equivalent fuel consumption allows users to compare electricity and fuel consumption on the same scale, making it easier to understand energy-saving effects. Energy optimization information is then determined based on the equivalent fuel consumption information and fuel optimization information, allowing for a comprehensive assessment of the vehicle's energy efficiency, reflecting the vehicle's overall fuel optimization status.

[0115] As another feasible implementation method, the energy consumption optimization information may include: fuel quantity optimization information, power quantity optimization information and comprehensive optimization information.

[0116] Fuel and power optimization information provides refined management of fuel and electricity, respectively, helping users or managers more accurately understand vehicle consumption across different energy sources. Comprehensive optimization information combines fuel and power optimization to provide a comprehensive view of energy consumption, enabling users to more intuitively assess overall energy savings.

[0117] For example, see Figure 5 At the end of navigation, energy consumption optimization information can be output through the navigation end interface. In order to facilitate users to understand the energy consumption situation, the navigation end page may include a prompt "AI energy consumption management reduces energy consumption for you:", and may also include specific energy consumption optimization information "0.08kw / h+0.05L=0.07L", where 0.08kw / h represents the amount of electricity saved, that is, "power saving" information; 0.05L represents the amount of oil saved, that is, "fuel saving" information; 0.07L represents comprehensive optimization information, that is, the "equivalent fuel consumption" saved. It should be understood that, if Figure 5 As shown, the navigation end interface can also display the vehicle's driving performance during this navigation, such as Figure 5 The driving mileage shown is "18.6 kilometers" and the driving time is "31 minutes." This embodiment of the application does not limit the specific design of the navigation end page.

[0118] It should be noted that the embodiment of the present application does not limit the method of outputting energy consumption optimization information. In actual application, it can be determined according to the user's usage needs and usage habits.

[0119] As an implementation method, the method of outputting the energy consumption optimization information is specifically: displaying the energy consumption optimization information on the navigation end interface.

[0120] After the navigation is completed, the vehicle will output a navigation end interface through a display, etc., and display the energy consumption optimization information on the navigation end interface. This allows the user to immediately see the energy consumption optimization information on the interface after completing the navigation.

[0121] As an implementation method, the method of outputting the energy consumption optimization information is specifically: displaying the energy consumption optimization information on the travel record interface.

[0122] In order to facilitate the recording of historical energy consumption optimization information, the energy consumption optimization information corresponding to each navigation can be stored. When the user checks the travel record interface, the corresponding energy consumption optimization information can be viewed synchronously, so that the user can compare and analyze the historical energy saving of the vehicle.

[0123] As an implementation method, the method of outputting the energy consumption optimization information is specifically: broadcasting the energy consumption optimization information in the form of voice.

[0124] After the vehicle completes navigation, it can output energy consumption optimization information in the form of voice broadcast, so that the driver or user can understand the energy consumption optimization information without having to look at the screen.

[0125] As an implementation method, the method of outputting the energy consumption optimization information is specifically: outputting the energy consumption optimization information to a target terminal device.

[0126] It should be understood that the target terminal device can be a pre-set user terminal device, such as a mobile phone, tablet or other smart device. In this way, the energy consumption optimization information can be synchronized to the target terminal device, which is convenient for the user to view and analyze at any time.

[0127] Furthermore, as a feasible implementation method, when outputting energy consumption optimization information, average travel energy consumption in historical information can be combined to generate an energy consumption ranking. Specifically, after each trip, the average travel energy consumption of the vehicle is determined. This average travel energy consumption is then compared with the historical average travel energy consumption to determine an energy consumption ranking. This allows users to quickly identify driving records with high or low energy consumption, thereby providing immediate energy consumption feedback.

[0128] In practical applications, the appropriate output method can be selected according to the specific needs and scenarios of the user. In addition, it is also possible to consider combining multiple output methods to provide users with a more comprehensive and convenient information acquisition experience. This embodiment of the present application does not limit this.

[0129] For example, for long-distance travelers, energy consumption optimization information can be displayed on the navigation end interface; for users who need to track and analyze energy consumption over a long period of time, energy consumption optimization information can be displayed on the trip record interface; for users who are driving, energy consumption optimization information can be obtained through voice broadcast; for users who want to view energy consumption on different devices, energy consumption optimization information can be output to the target terminal device.

[0130] It should be noted that the embodiments of the present application do not limit the method for determining the end of navigation. In actual application, the method can be determined based on the actual application scenario. In some embodiments, when the vehicle is traveling along the route planned by the navigation system, the distance to the destination is less than or equal to the preset distance (such as when the remaining distance to the destination is less than 40 meters), indicating that the vehicle has successfully arrived at the destination, the navigation system will automatically end and no further guidance will be provided.

[0131] Therefore, as a feasible implementation method, the method for demonstrating vehicle energy consumption optimization also includes: determining that vehicle navigation ends when the distance between the vehicle and the destination is less than or equal to a preset distance.

[0132] That is, the triggering condition for the end of vehicle navigation may include: the distance between the vehicle and the destination is less than or equal to the preset distance.

[0133] It should be understood that the preset distance is pre-set and can be determined according to needs during actual application. For example, when the distance between the vehicle and the destination is less than or equal to 40 meters, it can be considered that the vehicle has successfully arrived at the destination and the vehicle navigation ends.

[0134] In other embodiments, if the navigation system displays an incorrect direction or calculates an incorrect route, the user may need to proactively exit the navigation system and re-enter the correct route to avoid going the wrong way. This is typically accomplished through a touch screen, physical buttons, or voice commands. For example, the user may click the "Close" or "Exit" button on the navigation interface, or speak a command such as "Close Navigation."

[0135] Therefore, as another feasible implementation method, the method for displaying vehicle energy consumption optimization also includes: determining that the vehicle navigation ends in response to receiving a touch operation on a function control to exit navigation; or determining that the vehicle navigation ends in response to receiving a voice command to end navigation.

[0136] That is, the triggering condition for the end of vehicle navigation may include: a display control for exiting navigation is triggered, or a voice instruction for ending navigation is received.

[0137] In the navigation interface, there is usually a clear "End Navigation", "Exit Navigation" or similar function control designed to exit navigation. When the user clicks this function control, the navigation system will recognize this action and stop providing route guidance, thus ending the navigation.

[0138] Alternatively, users can use voice commands to operate the navigation system, including starting navigation, adjusting routes, and ending navigation. When users say commands such as "End navigation" or "Stop navigation," the system recognizes and executes the corresponding action, ending the navigation. This method eliminates the need for users to manually operate the screen or buttons, making it more convenient and safer, especially while driving.

[0139] In some embodiments, the map navigation function in the vehicle is controlled by a navigation system that is independent of the vehicle control. Therefore, when implementing the vehicle energy consumption optimization display method provided in the present application, certain data interaction is required between the vehicle controller and the navigation system.

[0140] For example, when receiving the instruction to start navigation, the navigation system needs to send a start navigation flag to the vehicle controller; at this time, the vehicle controller begins to calculate the energy data saved by the energy consumption management function during this driving process; until the navigation system sends the end navigation information to the vehicle controller, the vehicle controller determines the energy consumption optimization information and sends it to the navigation system for display.

[0141] It should be understood that for ease of description, the following embodiments no longer reflect the data interaction relationship between the navigation system and the vehicle controller. However, those skilled in the art should understand that in actual application, certain message sending and receiving operations are required between the navigation system and the vehicle controller to implement the operations in the following embodiments.

[0142] In some embodiments, in order to facilitate users to determine the energy consumption optimization status of the vehicle in real time while the vehicle is driving, real-time energy consumption optimization information can be displayed while the vehicle is driving.

[0143] Specifically, as a feasible implementation method, the energy consumption management information includes real-time energy consumption optimization information. Outputting the energy consumption management information includes: displaying the real-time energy consumption optimization information during vehicle driving, where the real-time energy consumption optimization information is used to represent the difference between the actual energy consumption information of the vehicle traveling from the initial location to the current location with the energy consumption management function enabled and the estimated energy consumption information of the vehicle traveling from the initial location to the current location without the energy management function enabled.

[0144] It can be understood that real-time energy consumption optimization information can intuitively display the energy consumption optimization status of the vehicle from the initial location to the current location, which may include fuel consumption optimization status, electricity consumption optimization status, etc., so that the driver can understand the impact of energy consumption management functions on energy consumption in real time, thereby improving the user experience.

[0145] In some embodiments, when performing vehicle navigation, there are usually multiple candidate routes from the departure point to the destination. In order to facilitate the user's route selection, the energy consumption information corresponding to each candidate route can be estimated during route planning so that the driver can choose a route with the highest energy utilization efficiency.

[0146] As a feasible implementation method, the method further includes: displaying candidate routes, and first estimated energy consumption information and / or second estimated energy consumption information corresponding to the candidate routes on a navigation planning interface.

[0147] Among them, the first estimated energy consumption information is used to represent the estimated energy consumption information of the vehicle traveling the candidate route when the energy consumption management function is enabled, and the second estimated energy consumption information is used to represent the estimated energy consumption information of the vehicle traveling the candidate route when the energy function is not enabled.

[0148] For each candidate route, based on map data (such as road type, slope, curvature, etc.) and real-time traffic information (such as congestion, speed limit, etc.), the energy consumption estimation model is used to calculate the estimated energy consumption of the vehicle when the energy consumption management function is enabled to obtain the first estimated energy consumption information.

[0149] Furthermore, for each candidate route, energy consumption is estimated based on the map data and real-time traffic information, but without using the parameters of the energy consumption management function, and second estimated energy consumption information is output when the energy consumption management function is not enabled.

[0150] For each candidate route, estimated energy consumption information is output both when the energy management function is enabled and when it is not. The first and second estimated energy consumption information can be presented in a table, chart, or text format for intuitive comparison. This allows users to compare the energy consumption differences between different routes with and without the energy management function enabled, thereby selecting routes and driving strategies with lower energy consumption and greater economic efficiency.

[0151] It should be understood that as an implementation method, the candidate route with the lowest energy consumption can be set as the preferred route, and then the display method of the preferred route can be set differently from that of other candidate routes, such as using different colors to display the preferred route and other candidate routes, or adding a "recommended" energy consumption management logo in the selection control of the preferred route, so that users can pay more attention to the preferred route.

[0152] As another feasible implementation method, before the vehicle navigation ends, the method further includes: displaying candidate routes and estimated energy consumption optimization information corresponding to the candidate routes on the navigation planning interface.

[0153] The estimated energy consumption optimization information represents the difference between the first and second estimated energy consumption information. Specifically, the estimated energy consumption optimization information is calculated by calculating the difference between the first and second estimated energy consumption information. The estimated energy consumption optimization information for each candidate route is then presented to the user in a chart, table, or text format. This allows the user to select the route with the best energy optimization results based on the estimated energy consumption optimization information.

[0154] As can be seen, estimating and outputting energy consumption information for each candidate route during route planning helps drivers make more informed decisions based on this information, choosing the most energy-efficient route. This choice not only directly reduces energy consumption and driving costs, but also indirectly promotes environmental protection and reduces carbon emissions, ultimately achieving the goals of energy conservation, emission reduction, and green travel.

[0155] In some embodiments, to facilitate users to obtain energy consumption optimization information immediately after the trip, the energy consumption optimization information can be displayed on the navigation end interface. However, the navigation end interface is usually displayed immediately after the navigation ends, and the energy consumption optimization information may require a certain calculation process.

[0156] Therefore, in order to improve the user's viewing experience, as a feasible implementation method, displaying energy consumption optimization information on the navigation end interface includes: determining the energy consumption optimization information; when the energy consumption optimization information is not determined, outputting a first prompt information and / or a loading mark on the navigation end interface, the first prompt information is used to prompt the user that the energy consumption optimization information is being calculated; when the energy consumption optimization information is determined, updating the prompt information to the energy consumption optimization information.

[0157] After navigation ends, the energy consumption optimization information is not displayed immediately. Instead, an asynchronous calculation process is started. After the calculation is completed, the results are displayed to the user through some means (such as a pop-up window or notification bar message).

[0158] For example, see Figure 6 , when the energy consumption optimization information is not determined, the energy consumption optimization information below can be displayed in a loading state, and the first line of prompt information can be displayed as "AI energy consumption management is calculating...". When the energy consumption optimization information is read, Figure 5 As shown, the navigation end interface can be updated based on the energy consumption optimization information.

[0159] As a feasible implementation method, when the comprehensive fuel consumption savings (equivalent fuel consumption) represented by the comprehensive optimization information is lower than a preset threshold (such as 0.01L), only the comprehensive optimization information can be displayed, and the power optimization information or fuel optimization information will no longer be displayed.

[0160] Understandably, when equivalent fuel consumption is below a preset threshold, which is the data users care about most and is clearly shown to be very low (e.g., <0.01L), only comprehensive optimization information can be displayed without additional battery optimization information or fuel optimization information, reducing redundant information on the interface and enabling users to access key data more quickly.

[0161] In some embodiments, hybrid vehicle energy management relies heavily on pre-set energy management strategies. These strategies are typically pre-set during the vehicle design phase based on specific driving conditions and vehicle performance parameters. While these pre-set strategies can guide vehicle energy management to a certain extent, they often lack the ability to dynamically adapt to real-time driving conditions.

[0162] As a possible implementation, see Figure 7 The method for displaying vehicle energy consumption optimization provided in the embodiment of the present application further includes:

[0163] S201 : In response to the vehicle enabling an energy consumption management function, obtaining characteristic information of a target section in a target route.

[0164] The target route refers to a specific route from the starting point to the end point planned for the vehicle to achieve a specific goal or task. It may include multiple target sections that the vehicle needs to travel, and each target section has corresponding feature information.

[0165] As a feasible implementation method, the target route is determined based on the vehicle's map navigation function.

[0166] It is understood that when navigating, users need to enter their destination address on the navigation system's interface or tell the navigation system where they want to go through voice commands. The navigation system will then automatically calculate multiple possible driving routes based on the entered destination address, current traffic conditions, road restrictions (such as one-way streets and no-entry zones), and user preferences (such as shortest time, shortest distance, and avoiding congestion). The navigation system will then display these routes on the interface and provide information such as the estimated arrival time and distance for each route. Users can select the appropriate route based on their needs to obtain their desired route.

[0167] As a feasible implementation method, the road segment between two intersections in the target route (initial segment) can be used as a target segment.

[0168] After planning a route, the navigation module divides the route into several links, each of which represents a specific road section. This division helps the navigation system perform more accurate route calculation and guidance.

[0169] As another feasible implementation method, in order to improve energy efficiency and simplify the overall route, the above initial sections can be merged according to certain rules to obtain the target section. The specific merging method can be referred to the following embodiment, and this application will not repeat it here.

[0170] After determining the target section in the target route, characteristic information of the target section can be obtained.

[0171] As a feasible implementation method, the characteristic information of the target road section includes at least one of the following: road section type, estimated travel time, estimated travel speed, road section length, traffic light characteristics, and congestion characteristics.

[0172] It should be understood that the estimated travel time can be determined by the navigation system based on the road conditions or historical travel time of the road section; the road section type, road section length and traffic light characteristics can be determined by the physical characteristics of the road section in the navigation system, and the road section type can be: expressway, urban road, rural road, etc.; the estimated travel speed can be determined based on the estimated travel time and road section length corresponding to the road section; the congestion characteristics can be determined based on real-time road condition information.

[0173] It should be noted that the characteristic information of the target road section can be obtained through an intelligent transportation system. The intelligent transportation system can determine the characteristic information of the target road section based on real-time traffic flow and traffic light information, so that the map APP can optimize the driving route and speed based on the characteristic information of the target road section.

[0174] S202 : Based on characteristic information of a target road section in a target route, control the vehicle to travel on the target road section in a power mode that matches the target road section among multiple power modes.

[0175] It should be understood that the vehicle's various power modes include at least pure electric mode and hybrid mode. Hybrid mode can be further divided into series mode and parallel mode. In pure electric mode, the vehicle relies primarily on power provided by the battery pack to drive the electric motor, thereby achieving a zero-emission and low-noise driving experience. Hybrid mode combines the advantages of the internal combustion engine and the electric motor, intelligently switching the power source according to driving conditions to achieve more efficient energy utilization and longer driving range.

[0176] In actual application, the specific classification of the vehicle's power mode can be determined according to demand, and the embodiments of the present application do not limit this. For ease of explanation, the following embodiments are described using multiple power modes of a vehicle including a pure electric mode and a hybrid mode as examples.

[0177] As a feasible implementation method, the power mode matching the target road section can be determined by using an artificial intelligence-based power mode determination model. Figure 8 , S202 can be specifically implemented as follows:

[0178] S301: Input characteristic information of a target road section into a power mode determination model based on artificial intelligence, and obtain a power mode matching the target road section output by the power mode determination model.

[0179] It should be understood that the embodiments of the present application do not limit the model architecture of the power mode determination model based on artificial intelligence. The power mode determination model can adopt a model architecture such as a decision tree, random forest, support vector machine or neural network.

[0180] After obtaining the characteristic information of the target road section, it can be processed through filtering, normalization, and other methods to remove noise and outliers in the data and ensure that different features have similar weights in the model. This information is then input into the power mode determination model, which calculates and outputs the power mode that matches the target road section based on the input characteristic information.

[0181] S302: Control the vehicle to travel on the target road section in a power mode that matches the target road section among the multiple power modes.

[0182] After obtaining the power mode matching the target road section, the vehicle can be controlled to travel on the target road section in the power mode matching the target road section among multiple power modes.

[0183] As can be seen, in this implementation, the power mode matching the target road segment is determined based on its characteristic information. By analyzing the target road segment's characteristic information (such as road conditions, traffic flow, and road type), the appropriate power mode can be accurately matched. Accurately matching power modes helps reduce unnecessary energy consumption and emissions. Selecting pure electric mode under appropriate road conditions can significantly reduce fuel consumption and CO2 emissions, contributing to environmental protection.

[0184] As another feasible implementation method, the power mode matching the target road section can be determined by combining the user's driving habit information and / or the vehicle's driving status information. Specifically, S202 can be implemented as follows:

[0185] S401. Obtain user driving habit information and / or vehicle driving status information.

[0186] It should be understood that, as an implementation method, the user's driving habit information may include: average vehicle speed, preferred vehicle speed, lane occupation habit, distance keeping habit or reaction time, etc.

[0187] Among them, the average speed reflects the average speed of the driver over a period of time. The preferred speed is the speed that the driver prefers, which is usually related to the type of road. For example, the speed preference may be different on expressways, highways or urban roads. The lane position that the driver habitually occupies (left, middle or right) can reflect his driving style and judgment of road conditions. The distance maintained by the driver can reflect his grasp of the safe distance and his ability to predict road conditions. The driver's reaction time refers to the time from perception to action in an emergency situation. This is an important indicator for evaluating driving habits and safety.

[0188] It should be understood that many smartphone applications, such as navigation software and car-related apps, have the function of recording and analyzing users' driving habits. These applications collect users' driving data (such as mileage, driving speed, number of sudden accelerations and braking, etc.) to analyze the user's driving style and behavioral habits, thereby obtaining driving habit information.

[0189] Alternatively, modern cars are often equipped with onboard intelligent devices, such as the ECU (Electronic Control Unit) and On-Board Device (OBD) boxes. These devices monitor the vehicle's driving status in real time and record the driver's driving behavior. By analyzing this data, information about the user's driving habits can be obtained.

[0190] As an implementation manner, the vehicle driving status information includes at least one of the following: the real-time remaining power of the vehicle, the real-time remaining fuel of the vehicle, and the engine temperature.

[0191] It should be understood that the vehicle driving status information can be obtained through sensors installed in the vehicle, and this application does not limit the method of obtaining the vehicle driving status information.

[0192] S402 : Based on the characteristic information of the target road section and the user's driving habit information and / or the vehicle driving state information, control the vehicle to travel on the target road section in a power mode that matches the target road section among the multiple power modes.

[0193] Understandably, different road and traffic conditions may require different vehicle power modes. For example, on congested urban roads, pure electric mode can more effectively reduce fuel consumption and emissions; on highways or roads requiring frequent acceleration, hybrid mode may better meet power performance requirements. Furthermore, road type, width, number of lanes, and geometric characteristics such as slope and curvature also influence the choice of power mode. For example, on steeply sloped roads, hybrid mode may provide stronger power support, while on flat urban roads, pure electric mode may be more appropriate. Therefore, the power mode that matches the target road section can be determined based on its characteristic information.

[0194] The user's driving preferences and habits significantly influence the choice of power mode. For example, a user who prefers fast acceleration and powerful power may prefer hybrid mode, while a user who prioritizes energy conservation and economy may prefer pure electric mode. Therefore, the power mode that matches the target road section can be determined based on the user's driving habits.

[0195] The vehicle's performance and state also influence the power mode selection. For example, when the vehicle has sufficient charge and a short driving range, pure electric mode can be selected to reduce fuel consumption. However, when the battery is low or the driving range is long, hybrid mode may better ensure range and power performance. Therefore, the power mode that matches the target road section can be determined based on the vehicle's driving state information.

[0196] As an implementation method, S402 may be specifically implemented as follows:

[0197] S4021. Input characteristic information of the target road section and user driving habit information and / or vehicle driving status information into a power mode determination model based on artificial intelligence, and obtain a power mode matching the target road section output by the power mode determination model.

[0198] The target road section feature information, user driving habit information and vehicle driving status information collected in real time are input into the model, so that the model can perform inference based on the input data. The inference process may involve multiple steps such as feature extraction, data normalization, model calculation, etc., and then output the power mode that matches the target road section.

[0199] S4022. Control the vehicle to travel on the target road section in a power mode that matches the target road section among the multiple power modes.

[0200] After obtaining the power mode matching the target road section, the vehicle can be controlled to travel on the target road section in the power mode matching the target road section among multiple power modes.

[0201] As can be seen, this implementation combines the characteristic information of the target road section (such as road conditions, traffic flow, road type, etc.), the user's driving habits (such as driving preferences, average speed, acceleration habits, etc.), and the vehicle's driving status (such as speed, remaining battery power, engine status, etc.) to more comprehensively assess the power demand under the current driving environment. Moreover, based on real-time road conditions and user driving habits, the vehicle can dynamically adjust the power mode to ensure that the most suitable power output is provided in different road sections and driving scenarios. Through continuous technological iteration and optimization, vehicles can gradually achieve more intelligent and efficient driving assistance and autonomous driving functions.

[0202] As can be seen from the above S201-S202, the method for demonstrating vehicle energy consumption optimization provided by the embodiment of the present application, when the energy consumption management function is enabled in the vehicle, first obtains the characteristic information of the target section in the target route, and then controls the vehicle to travel on the target section in a power mode that matches the target section among multiple power modes based on the characteristic information of the target section. That is, the power mode of the vehicle is dynamically adjusted based on the characteristic information of the target section so that the characteristics of the target section match the power mode of the vehicle. In this way, the vehicle can continue to use the matching power mode to move on the target route, which helps to reduce unnecessary energy waste, can more effectively optimize the energy consumption of the vehicle, improve the energy consumption efficiency of the vehicle, and thus enhance the user experience.

[0203] The following are several specific examples to illustrate how to determine the power mode corresponding to the target road section:

[0204] In some embodiments, the characteristic information of the target road segment includes an estimated speed of a vehicle traveling on the target road segment. Each target road segment in the target route can then be categorized based on the estimated speed. Target road segments with an estimated speed lower than or equal to a preset speed threshold are classified as a first type of target road segment; target road segments with an estimated speed higher than the preset speed threshold are classified as a second type of target road segment.

[0205] It should be understood that the preset speed threshold is predetermined and can be determined according to needs during actual application. The embodiments of the present application do not limit this.

[0206] On the first type of target road, due to the lower speeds, pure electric mode can more efficiently utilize battery energy, reduce emissions, and provide a smooth driving experience. On the second type of target road, due to the higher speeds, hybrid mode can provide stronger power output, ensuring that the vehicle can respond quickly to driving needs while maintaining a certain degree of energy efficiency.

[0207] As another feasible implementation, different speed thresholds can be set for pure electric mode and hybrid mode. When determining the power mode corresponding to each target road segment, the power mode corresponding to the previous target road segment and the estimated speed of the current target road segment can be used.

[0208] Specifically, when the power mode corresponding to the previous target section is the pure electric mode, if the estimated passing speed of the current target section exceeds the speed threshold corresponding to the pure electric mode, the power mode of the current target section is determined to be the hybrid mode.

[0209] When the power mode corresponding to the previous target section is the hybrid mode, if the estimated passing speed of the current target section is lower than the speed threshold corresponding to the hybrid mode, the power mode of the current target section is determined to be the pure electric mode.

[0210] Exemplarily, the speed threshold corresponding to the pure electric mode (pure electric mode) can be set to 80km / h. The speed threshold corresponding to the hybrid mode (hybrid mode) can be 90km / h. In the case that the power mode corresponding to the previous target section of the current target section is the pure electric mode, if the estimated travel speed of the current target section reaches 80km / h, it can be determined that the power mode corresponding to the current target section is the hybrid mode. In the case that the power mode corresponding to the previous target section of the current target section is the hybrid mode, if the estimated travel speed of the current target section is lower than 90km / h, it can be determined that the power mode corresponding to the current target section is the pure electric mode.

[0211] In some embodiments, since a target road section with a traffic light needs to be restricted by the traffic light during driving, the power mode corresponding to the target road section can be determined based on the traffic light feature in the feature information of the target road section.

[0212] As a feasible implementation method, for a target road section characterized by a traffic light as having a traffic light, the target road section is divided into a first sub-target road section and a second sub-target road section. The vehicle is controlled to operate in hybrid mode on the first sub-target road section, and in pure electric mode on the second sub-target road section.

[0213] The two sub-target sections are closely connected in position. The end point of the first sub-target section is the starting point of the second sub-target section, and the end point of the second sub-target section is the location of the traffic light.

[0214] It should be understood that when dividing the target road segment into a continuous first sub-target road segment and a second sub-target road segment, the division can be based on the length of the target road segment. For example, as one implementation, the division can be based on a preset ratio and road segment length. As another implementation, a target road segment of a preset length near a traffic light can be used as the second sub-target road segment, and the first target road segment can be determined based on the target road segment and the second sub-target road segment.

[0215] When the vehicle reaches the first sub-target section, the control system switches to hybrid mode. Hybrid mode combines the advantages of an internal combustion engine and an electric motor, providing sufficient power while maintaining a certain level of energy efficiency. On the first sub-target section, since the traffic light is still some distance away, the vehicle needs to maintain a certain speed and power, making hybrid mode a suitable choice.

[0216] When the vehicle transitions from the first to the second sub-target section, the control system adjusts the vehicle's power mode again, this time switching to pure electric mode. Pure electric mode is generally more energy-efficient, environmentally friendly, and quieter. On the second sub-target section, as the vehicle approaches traffic lights and may need to slow down or stop, switching to pure electric mode allows for more efficient use of battery energy while reducing emissions and noise.

[0217] It can be seen that in this embodiment, the power output of the vehicle is flexibly adjusted according to the traffic light conditions in the target road section, thereby improving the driving efficiency and environmental protection performance as much as possible while ensuring safety.

[0218] In some embodiments, the pure electric range of a hybrid vehicle is typically between 50 and 200 km. In scenarios where the target road section is long, using only a single power mode may not be sufficient. Therefore, the power mode used by the vehicle can be determined based on the length of the target road section.

[0219] Specifically, as a feasible implementation method, when the characteristic information of the target section includes the section length corresponding to the target section, for the target section whose section length is greater than a preset length threshold, the power mode adopted by the vehicle can be determined based on the real-time power information of the vehicle.

[0220] When a road section is long, the vehicle needs to travel continuously for a long time, so the power mode selection needs to balance energy efficiency and driving performance. The power information reflects the vehicle's current available energy reserves, so the power mode used by the vehicle can be determined based on the vehicle's real-time power information.

[0221] It should be noted that when determining the power mode adopted by the vehicle based on the vehicle's real-time power information, it is also necessary to consider the timing of the dual-mode (DM) system's forced power generation (State of Charge, SOC), the user-set power conservation status, and the navigation estimated power consumption.

[0222] DM forced power generation SOC timing refers to when the vehicle's state of charge falls below a preset threshold, at which point the DM system automatically starts the engine to generate electricity to replenish the battery. This threshold is typically set based on the vehicle's powertrain design and energy efficiency optimization. Considering DM forced power generation SOC timing helps prevent the vehicle from entering a performance-limiting mode due to low battery, ensuring stable and continuous power output.

[0223] The user-defined SOC setting allows users to specify a desired minimum state of charge in the vehicle settings based on their needs and preferences. Once the SOC is set, the vehicle's powertrain will strive to maintain the battery charge above this level to meet the user's specific needs, such as retaining sufficient charge for subsequent all-electric driving or emergency response.

[0224] The current navigation estimated SOC (Soc Estimated Current) uses an algorithm to predict the amount of energy required to complete the navigation task, based on factors such as the vehicle's current state, navigation route, and road conditions. This prediction is crucial for power mode adjustments, helping the system plan power delivery strategies in advance to ensure the vehicle successfully completes the navigation task without interruptions due to insufficient power.

[0225] As an implementation manner, when the battery level of the vehicle is lower than a first preset battery level threshold, the power mode of the vehicle is determined to be a hybrid mode.

[0226] When the vehicle's real-time battery level is low, the secondary power (hybrid) mode should be prioritized to extend the range. By reducing power output and eliminating unnecessary energy consumption, the vehicle can more efficiently utilize the remaining power and ensure a smooth arrival at the destination.

[0227] Moreover, in some hybrid vehicles, when the vehicle's power mode is hybrid mode, the battery can also be charged during driving. This method not only reduces energy loss during braking, but also effectively increases the battery power and reduces vehicle energy consumption.

[0228] As another implementation, when the battery level of the vehicle is higher than a second preset battery level threshold, the power mode of the vehicle is determined to be a pure electric mode.

[0229] When the vehicle's real-time battery level is high, the more powerful pure electric mode can be selected to meet the needs of long-term high-speed driving. This option ensures that the vehicle has sufficient power reserve and can respond quickly when rapid acceleration or overtaking is required.

[0230] It should be noted that the above embodiments do not limit the vehicle energy consumption optimization method. In actual application, other control parameters can be combined for control, such as determining the vehicle power mode based on the estimated traffic speed and traffic light characteristics corresponding to the target road section, or determining the vehicle power mode based on real-time environmental factors such as weather and road conditions. The embodiments of this application do not impose specific limitations on this.

[0231] In some embodiments, in order to avoid an excessive number of road segments in the target route and simplify the overall route, the initial road segments in the above embodiments may be merged according to certain rules.

[0232] Specifically, as an implementation method, each target section in the target route is determined by:

[0233] S11. Obtain feature information of multiple initial road sections corresponding to the target route.

[0234] It should be understood that the initial section is the section between two adjacent intersections in the target route; the navigation system will break down the target route (such as "from Building A to Park B") into multiple initial sections (such as "Building A → Intersection 1" and "Intersection 1 → Intersection 2"), each of which corresponds to a set of latitude and longitude coordinate ranges, which serves as the geographical reference for subsequent path planning.

[0235] S12. Based on a preset merging rule, the multiple initial road sections are merged according to their feature information to obtain one or more target road sections.

[0236] It's understandable that merging adjacent or consecutive target sections can reduce ineffective idling between target sections, thereby reducing fuel and electricity consumption. Furthermore, merging target sections makes it easier to set reasonable driving speed ranges, avoiding the extra energy consumption caused by frequent acceleration and deceleration.

[0237] As an implementation method, the preset merging rules include one or more of the following: using traffic light features to characterize the initial road section with traffic lights to determine it as the target road section; merging adjacent initial road sections whose estimated travel speed difference is less than a preset speed threshold; merging initial road sections whose road section length is less than a preset length threshold into the longest initial road section among the adjacent target road sections.

[0238] It is understandable that target road sections with traffic lights are often particularly important in traffic flow, as traffic lights affect vehicle speed and travel time. Therefore, target road sections with traffic lights can be directly determined as target road sections to facilitate the vehicle to determine its corresponding power mode.

[0239] If the difference in estimated speeds is less than a preset speed threshold, it means that these target segments have similar characteristics in traffic flow. Merging them together can more accurately reflect the overall traffic situation. Therefore, adjacent initial segments with a difference in estimated speeds less than the preset speed threshold are merged. This means that adjacent target segments with similar travel speeds are merged into a larger target segment. This reduces the number of target segments and simplifies traffic management and analysis.

[0240] For example, assume there are two adjacent target road segments. Target road segment A has an estimated speed of 60 km / h, while target road segment B has an estimated speed of 58 km / h. The preset speed threshold is 5 km / h. Since the difference between the estimated speeds of target road segments A and B is less than the preset speed threshold, the two target road segments can be merged into a larger target road segment.

[0241] Initial road segments whose lengths are lower than a preset length threshold are merged into the longest initial road segment among adjacent target road segments to reduce the number of target road segments that are too short, avoid the complexity of traffic management caused by over-fine division of target road segments, and maintain the continuity of target road segments, which is conducive to the smooth operation of traffic flow.

[0242] For example, assume there are three adjacent target segments: target segment C is 300 meters long, target segment D is 100 meters long, and target segment E is 500 meters long, while the preset length threshold is 200 meters. Since target segment D is shorter than the preset length threshold, target segment D can be merged into the adjacent longest target segment E to form a longer target segment.

[0243] In some embodiments, the characteristic information of the target road segment is determined based on the characteristic information of the initial road segment corresponding to the target road segment. Specifically, the length of the target road segment may be the sum of the lengths of the initial road segments corresponding to the target road segment; and the estimated travel time of the target road segment may be the sum of the estimated travel times of the initial road segments corresponding to the target road segment.

[0244] As a feasible implementation method, the estimated travel speed of the target section is determined based on the section length and estimated travel time of the target section.

[0245] Since this method combines the two factors of road section length and estimated travel time, it can more accurately reflect the traffic conditions of the target road section.

[0246] As another feasible implementation manner, the estimated travel speed of the target road segment is determined based on the average estimated travel speed of the initial road segment corresponding to the target road segment.

[0247] It is understandable that this method only requires calculating the average estimated speed of the initial road section, so the calculation process is relatively simple.

[0248] As a feasible implementation method, since the energy management function focuses on more efficient energy utilization and reduced energy consumption and emissions, to save computational effort and reduce the amount of data transmitted, after obtaining the estimated speed for the target road section, a corresponding calibrated speed can be determined based on the speed range corresponding to the estimated speed. The energy management function then switches power modes based on this calibrated speed.

[0249] For example, as an implementation method, the average travel time can be revalued using a precision of 10 km / h and rounded off. For example, if v = 32 km / h, it is revalued to v = 30 km / h. In other words, the estimated travel speed within the range [25 km / h, 34 km / h) is converted to 30 km / h.

[0250] In some embodiments, when the target road section is congested, the estimated travel speed of the target road section also needs to take the congestion condition of the target road section into consideration.

[0251] As a feasible implementation method, when the characteristic information of the target section includes congestion characteristics, the estimated travel speed of the target section is determined in the following way: the initial travel speed corresponding to the target section is determined based on the average estimated travel speed of the initial section corresponding to the target section; the initial travel speed is corrected based on the congestion characteristics corresponding to the target section to obtain the estimated travel speed of the target section.

[0252] It should be understood that the method for determining the initial travel speed corresponding to the target road section can refer to the above embodiment, and this application will not go into details here.

[0253] After the initial traffic speed is obtained, the initial traffic speed can be corrected based on the congestion characteristics corresponding to the target road section to obtain the estimated traffic speed of the target road section.

[0254] As a feasible implementation method, the congestion value of the congestion feature corresponding to the target road section is negatively correlated with the estimated travel speed of the target road section.

[0255] The congestion value is a comprehensive indicator that measures the degree of congestion on a target road segment. It is typically calculated based on the relationship between traffic volume and average speed. A higher congestion value indicates greater congestion on the target road segment. The congestion value is negatively correlated with the estimated speed of the target road segment.

[0256] That is, as the congestion value increases, the estimated speed decreases. When congestion occurs on the target road segment, the distance between vehicles decreases, the driving speed slows down, and the estimated speed decreases.

[0257] On the contrary, when the congestion level of the target road section is reduced (the congestion value decreases), the distance between vehicles will increase and the driving speed will increase, so the estimated speed will increase. At the same time, the congestion value will decrease accordingly.

[0258] For example, if the current congestion value of the target road section is above 350, the estimated speed is set to 40% of the initial speed. At the same time, to avoid errors in the estimation, if the estimated speed is still greater than 30 km / h after the re-assignment, it is directly assigned to 30 km / h.

[0259] If the current congestion value of the target road section is (300,350], the estimated speed is set to 60% of the initial speed. At the same time, to avoid errors in the estimation, if the estimated speed is still > 40 km / h after the re-assignment, it is directly assigned to 40 km / h.

[0260] If the current congestion value of the target road section is [200,300], the estimated speed is set to 80% of the initial speed. At the same time, to avoid errors in the estimation, if the estimated speed is still greater than 50 km / h after the re-assignment, it is directly assigned to 50 km / h.

[0261] If the current congestion value of the target road section is within 200, it is considered to be unobstructed and the initial traffic speed is directly used as the estimated traffic speed.

[0262] In some embodiments, during vehicle travel, characteristic information of the current target road section may be recorded using Table 1, thereby facilitating determination of the vehicle's power mode based on the characteristic information of the current target road section.

[0263] Table 1

[0264]

[0265] When the characteristic information of the target section does not change, the map APP can send the characteristic information of each target section to the VCU in turn, and determine the power mode corresponding to the target section through the PEM working model in the VCU.

[0266] Furthermore, when the map app starts navigation in any way, it needs to send a message indicating the start of navigation to the VCU, so that the VCU can start determining the vehicle power mode based on the target road segment feature information. When the map app ends navigation in any way, it needs to send a message indicating the end of navigation to the VCU.

[0267] It's important to note that when map segment data changes, such as when switching navigation routes or when a segment changes due to changes in congestion information, the map app needs to send a message to the VCU instructing it to update the navigation. Furthermore, the map app needs to send the changed data to the VCU. This data may include: the total number of target segments obtained based on the planned route and pre-processing calculations and merging; the current segment after merging; and the remaining mileage for this navigation session. This allows the VCU to re-determine the power mode corresponding to the target segment based on the updated data.

[0268] As an implementation method, when there are too many target sections in the target route, the target section information may be sent in sections. In this case, an additional message indicating navigation update may be sent to the VCU between two sendings of target section information.

[0269] For example, since the number of target road sections can be 15, but the current periodic message definition allows a maximum of 10 segment data to be sent at a time, in order to distinguish whether the road segment data changes because the number of segments exceeds 10 or because the route has been recalculated, the VCU road segment data can be notified to update when the route has been recalculated.

[0270] As an implementation method, if the map APP exits abnormally, after the service is restarted, it is also necessary to send an additional message indicating that the navigation update is required to the VCU.

[0271] In some embodiments, the vehicle supports an energy management function, but the user can determine whether to enable the function based on their own needs. As a feasible implementation method, the vehicle energy consumption optimization display method provided in the embodiment of the present application further includes: receiving an activation instruction for the energy management function; and activating the energy management function in response to the activation instruction.

[0272] It should be understood that the embodiments of the present application do not limit the specific manner of triggering the energy management function activation instruction. For example, as a feasible implementation, receiving the energy management function activation instruction includes: receiving a triggering operation on a management control for the energy management function; or receiving a voice instruction to activate the energy management function; or receiving an instruction to activate the energy management function sent by a remote device.

[0273] That is, the triggering conditions for the energy management function activation instruction include any one of the following: the management control of the energy management function is triggered; a voice instruction for activating the energy management function is received; or an instruction for activating the energy management function is received from a remote device.

[0274] The vehicle's central control screen or instrument panel is usually equipped with a dedicated display control (such as a button, switch or menu item) to control the energy consumption management function on and off. When the user sees this control and actively clicks or touches it, the system will respond and enable the function.

[0275] With the continuous development of intelligent voice technology, more and more vehicles are beginning to support voice control functions. Users only need to say a preset voice command (such as "turn on energy consumption management"), and the vehicle's built-in voice recognition system will recognize and interpret the command, and then automatically enable energy consumption management function.

[0276] For vehicles equipped with smart connectivity, users can also control vehicle functions by sending commands via mobile apps, smartwatches, and other remote devices. For example, a user can use a mobile app to enable energy management before entering a congested road section or a long-distance trip.

[0277] It should be understood that the embodiments of this application do not restrict the location of the energy management function's management controls. For example, as one implementation, the energy management function's management controls are located on the vehicle's center console; alternatively, the energy management function's management controls are located within a map application's interface. As another implementation, the energy management function's management controls are located in one or more of the following locations: a map interface, a vehicle's center console, or a target terminal device; the map interface includes a navigation interface and / or a map display interface.

[0278] The energy management function's display controls can be placed on the map interface, the vehicle's center console, or the target terminal device. Furthermore, the map interface, as a possible location for display controls, is further subdivided into navigation interfaces and / or map display interfaces. These interfaces can be used to display geographic location and related information, and are therefore also suitable for displaying information related to the energy management function.

[0279] It should be understood that in order to avoid repeated clicks, the display control of the energy consumption management function can be set to not be triggered again within a preset time period after being triggered for the first time, so as to prevent repeated clicks.

[0280] For example, see Figure 9 An energy management button can be set in the lower left corner of the map display interface. The energy management button can have two states (such as colored icon and gray icon), and the icon text can be "Energy Consumption" or "AI". When the icon is in the first state, clicking the button will switch to the second state and display a prompt message to remind the user that the energy management function settings have been modified.

[0281] In some embodiments, corresponding to enabling the energy management function, users may also turn off the energy management function in certain circumstances. For example, when users expect to drive for a long time in an environment with limited power (such as remote areas or long-distance travel), they may choose to turn off the energy management function to ensure that the vehicle has enough power to deal with possible emergencies.

[0282] Based on this, as a feasible implementation method, the vehicle energy consumption optimization display method provided in the embodiment of the present application also includes: receiving a shutdown instruction for the energy consumption management function; and shutting down the energy consumption management function in response to the shutdown instruction.

[0283] Among them, as an implementation method, receiving an instruction to shut down the energy consumption management function includes: receiving a trigger operation of the management control of the energy consumption management function; or, receiving a voice instruction to shut down the energy consumption management function; or, receiving an instruction to shut down the energy consumption management function sent by a remote device.

[0284] It should be understood that the process of managing the energy consumption management function can refer to the above-mentioned process of enabling the energy consumption management function, and this application will not go into details here.

[0285] In some embodiments, since the energy consumption management function usually needs to be used in conjunction with a map APP, in order to prompt the user to enable the energy consumption management function, a prompt may be given when the user opens the map interface.

[0286] Therefore, as a feasible implementation method, the vehicle energy consumption optimization display method provided in the embodiment of the present application also includes: in response to the user opening the map application, displaying a prompt pop-up window of the energy consumption management function on the map interface.

[0287] Among them, when the energy consumption management function is in the enabled state, the prompt pop-up window is used to prompt that the energy consumption management function is in use; or, when the energy consumption management function is in the disabled state, the prompt pop-up window is used to prompt the user whether to enable the energy consumption management function.

[0288] It should be understood that opening the map application can be by entering the map homepage through the energy consumption management logo corresponding to the map, or by directly entering the navigation interface or other map interface using other methods (such as voice commands). The embodiment of this application does not limit the method of opening the map application.

[0289] The method provided in this embodiment prompts the user when the user opens the map application because users are often planning their trips or navigating at this time and have a high demand for vehicle status information. The energy consumption management pop-up window at this time can directly meet the user's current needs, improving information utilization and user attention.

[0290] It should be understood that if the user frequently opens the map application, prompt pop-ups will appear frequently, resulting in a poor user experience. Therefore, as a feasible implementation method, a prompt pop-up window for the energy consumption management function can be displayed when the map application is opened for the first time during the vehicle's current power-on cycle.

[0291] By limiting the prompt pop-up to appear only when the map application is opened for the first time, repeated prompts when the user frequently enters the map application are effectively avoided, reducing user interruptions and unnecessary operations, and improving the user's overall experience of the vehicle system.

[0292] As an implementation method, when the energy consumption management function is in a disabled state, the energy consumption management pop-up window includes a management control of the energy consumption management function, which is used to prompt the user whether to enable the energy consumption management function.

[0293] The energy management feature is in the disabled state, meaning it's not currently active or in use. Therefore, an energy management pop-up window displays information or requests user input. In this scenario, it prompts the user to enable energy management. It also displays the energy management control so the user can quickly enable it.

[0294] For example, see Figure 9 When the energy management function is disabled, you can Figure 9 The pop-up window shown prompts the user to "turn on AI energy management to continuously save energy for you", which means that the user is prompted to click the turn on button to enable the energy management function.

[0295] As another feasible implementation method, when the energy consumption management function is enabled, an energy consumption management pop-up window is used to remind the user that energy saving is in progress.

[0296] For example, see Figure 10 When the energy management function is disabled, you can Figure 10 The pop-up window shown reminds the user that "AI energy consumption management continuously saves energy for you", which means that energy saving is in progress.

[0297] As a feasible implementation method, the method for displaying vehicle energy consumption optimization also includes: closing the energy consumption management pop-up window when preset conditions are met; the preset conditions include one or more of the following: the display time of the energy consumption management pop-up window is greater than or equal to the preset time; the number of displays of the energy consumption management pop-up window is greater than or equal to the preset number of times; receiving an instruction to close the energy consumption management pop-up window.

[0298] That is, as an implementation method, if the pop-up window is displayed for more than a preset time limit (e.g., 5 seconds, 10 seconds, etc.), the pop-up window will be automatically closed to prevent the pop-up window from occupying the user interface for a long time and affecting the user experience.

[0299] As an implementation, if the pop-up window is displayed to the user a preset limit of times (e.g., 3 times, 5 times, etc.), the pop-up window is automatically closed to avoid excessively disturbing the user if the user does not respond to the pop-up window multiple times.

[0300] As an implementation method, if the system receives an instruction to close the pop-up window (for example, an instruction sent through a programming interface, or an instruction triggered by the user performing an operation to close the pop-up window), the pop-up window is closed immediately, so that the user can close the pop-up window at any time according to his or her wishes.

[0301] As a feasible implementation method, the energy consumption management pop-up window has a higher pop-up priority than other pop-up windows. Other pop-ups include one or more of the following: commuting card, low fuel pop-up window, low battery pop-up window, and continue navigation card.

[0302] When the Energy Management pop-up window and other pop-ups need to be displayed simultaneously, the system will determine which pop-up window should be displayed first based on pre-set priority rules. Due to the importance of energy conservation, and to ensure that users receive key energy-saving information or suggestions in a timely manner, the Energy Management pop-up window is given priority over other pop-ups. This means that when the Energy Management pop-up window and other pop-ups need to be displayed simultaneously, the Energy Management pop-up window will be displayed first, while the other pop-ups may be temporarily hidden or delayed.

[0303] It is understandable that in practical applications, such priority setting can help improve users' energy-saving awareness and behavior, thereby having a positive impact on the environment.

[0304] In some embodiments, a user who is driving a vehicle for the first time may not understand the energy consumption management function and may not know what it does. Therefore, in order to improve the user experience, a function guide control for the energy consumption management function may be set on the map interface (such as in the energy consumption management pop-up window). When the control is triggered, an introduction to the energy consumption management function may be output to the user via text / graphics / voice broadcast, so that the user can quickly understand the energy consumption management function.

[0305] In some cases, the vehicle's route may be changed during navigation. For example, if the user changes the destination or adds a waypoint via voice, or sends the route / destination to the central control map via another device or application, the navigation route may be updated. In this case, the updated navigation route may be different from the original route.

[0306] As a feasible implementation method, if the navigation route changes, the energy consumption optimization information before the current node can be stored, and the energy consumption management function can be restarted based on the updated navigation route until the navigation is completed. All energy consumption optimization information of the vehicle during the current driving process can be output. This allows users to intuitively understand the energy conservation of the vehicle during the current driving process.

[0307] In some embodiments, since the vehicle switches power modes smoothly without noticeable acceleration, deceleration, or noise changes, it is difficult for the user to notice the mode switch, which may affect the user's driving experience and the use of the vehicle.

[0308] As a feasible implementation method, the vehicle energy consumption optimization display method provided in the embodiment of the present application also includes: in response to the vehicle switching the power mode based on the energy consumption management function, outputting prompt information for prompting the power mode to switch.

[0309] It should be understood that the output method of the prompt information indicating that the power mode has switched can be voice broadcast and / or text reminder. The voice broadcast and / or text reminder can instantly convey the switching information of the vehicle power mode to the driver, so that the driver can quickly understand the current operating status of the vehicle, thereby ensuring the user's driving experience and the use effect of the vehicle.

[0310] In some embodiments, the user may not enable the energy management function during navigation, which could provide the vehicle with a more energy-efficient driving strategy based on the characteristic information of the navigation route and the target road section. Failure to enable this function will result in energy waste.

[0311] As a feasible implementation method, when the energy consumption management function is not enabled, if it is determined that the navigation route of the vehicle meets the usage requirements of the energy consumption management function, a prompt message for enabling the energy consumption management function is output or the energy consumption management function is enabled.

[0312] By prompting users to enable energy management, vehicles can manage energy more intelligently, thereby improving energy efficiency. Furthermore, prompting users to enable energy management and demonstrating the energy-saving effects of this feature can enhance user awareness and satisfaction with the vehicle's intelligent features.

[0313] As a feasible implementation method, the requirements for using the energy consumption management function include at least one of the following: the navigation route includes a first type of target section and a second type of target section; the length of the navigation route is higher than a preset length threshold; the vehicle supports the energy consumption management function.

[0314] The first type of target road section is a target road section with an estimated passing speed lower than a first preset speed, and the second type of target road section is a target road section with an estimated passing speed higher than a second preset speed.

[0315] It should be understood that the first type of target road section refers to a target road section where the estimated traffic speed is lower than the first preset speed. These target road sections may include urban congestion target sections, low-speed driving areas, or complex traffic intersections. On these first type of target road sections, the vehicle may require frequent starts and stops, necessitating the use of pure electric mode. This not only reduces energy consumption and emissions, but also reduces wear on the fuel system and extends vehicle life.

[0316] Type II target sections are those with estimated traffic speeds exceeding the second preset speed. These sections may include highways, expressways, or unobstructed rural roads. Vehicles travel at higher speeds on these sections, requiring continuous and stable power output. For these type II sections, hybrid mode can be used. This ensures sufficient power at high speeds while reducing fuel consumption and improving energy efficiency.

[0317] As can be seen, when the navigation route includes both Type 1 and Type 2 target sections, the vehicle needs to switch to different power modes to optimize energy consumption and performance. In this case, prompting the user to enable the energy management function is very necessary, as it can help the driver better manage and optimize the vehicle's energy use, thereby achieving the goal of saving energy and reducing emissions.

[0318] Long distances can significantly increase a vehicle's energy consumption. Enabling the energy management feature intelligently adjusts the vehicle's power output, speed control, and other relevant parameters to reduce overall energy consumption. Therefore, if the navigation route exceeds a preset length threshold, the user will be prompted to enable energy management.

[0319] One of the core goals of the energy management function is to reduce vehicle energy consumption. By optimizing power modes and improving energy efficiency, this function helps reduce fuel consumption or electricity usage, thereby lowering driving costs. Therefore, if the vehicle supports energy management, the user can be prompted to enable it to reduce energy consumption and improve the user experience.

[0320] The embodiment of the present application can, according to the above method, exemplarily divide the functional modules of the display device or electronic device for optimizing vehicle energy consumption. For example, the display device or electronic device for optimizing vehicle energy consumption may include various functional modules corresponding to the various functional divisions, or two or more functions may be integrated into one processing module. The above-mentioned integrated modules can be implemented in the form of hardware or in the form of software functional modules. It should be noted that the division of modules in the embodiment of the present application is schematic and is only a logical functional division. There may be other division methods in actual implementation.

[0321] An embodiment of the present application provides a display device for optimizing vehicle energy consumption, comprising an output module configured to output energy consumption management information when the vehicle is in navigation mode and an energy consumption management function is enabled.

[0322] In some embodiments, the energy consumption management function is used to determine the power mode adopted by the vehicle when traveling on each target section of the navigation route based on artificial intelligence technology.

[0323] In some embodiments, the energy consumption management information includes an energy consumption management identifier, and the output module is specifically used to: display the energy consumption management identifier along the navigation path in the vehicle navigation interface.

[0324] In some embodiments, the navigation interface also includes a vehicle position mark; the energy consumption management mark is set in the area below the vehicle position mark, and the distance from the vehicle position mark is less than or equal to a preset distance.

[0325] In some embodiments, the output module is further used to: display lane-level navigation and / or autonomous driving navigation on the navigation interface, or hide the energy consumption management logo when the scale of the map in the navigation interface is less than a preset scale threshold.

[0326] In some embodiments, the energy consumption management information includes energy consumption optimization information, and the output module is specifically used to: output energy consumption optimization information in response to the end of vehicle navigation, and the energy consumption optimization information is used to characterize the actual energy consumption information of the vehicle's navigation route, and the difference between the estimated energy consumption information of the vehicle's navigation route when the energy consumption management function is not enabled.

[0327] In some embodiments, the energy consumption optimization information includes at least one of the following: fuel quantity optimization information, power quantity optimization information, and comprehensive optimization information; the comprehensive optimization information is determined based on the fuel quantity optimization information and the equivalent fuel quantity information corresponding to the power quantity optimization information, and is used to characterize the vehicle's fuel optimization status.

[0328] In some embodiments, the output module is specifically used to perform at least one of the following operations: displaying energy consumption optimization information on the navigation end interface; displaying energy consumption optimization information on the trip record interface; broadcasting energy consumption optimization information in voice form; and outputting energy consumption optimization information to the terminal device.

[0329] In some embodiments, the vehicle energy consumption optimization display device further includes: a determination module for determining that the vehicle navigation ends when the distance between the vehicle and the destination is less than or equal to a preset distance; or, in response to receiving a touch operation on a function control to exit navigation, determining that the vehicle navigation ends; or, in response to receiving a voice command to end navigation, determining that the vehicle navigation ends.

[0330] In some embodiments, the energy consumption management information includes real-time energy consumption optimization information; the output module is specifically used to: display real-time energy consumption optimization information during vehicle driving, and the real-time energy consumption optimization information is used to represent the difference between the actual energy consumption information of the vehicle when traveling from the initial location to the current location when the energy consumption management function is enabled, and the estimated energy consumption information of the vehicle when traveling from the initial location to the current location when the energy function is not enabled.

[0331] In some embodiments, the output module is also used to: display the candidate routes and the estimated energy consumption optimization information corresponding to the candidate routes on the navigation planning interface; or, display the candidate routes and the first estimated energy consumption information and / or the second estimated energy consumption information corresponding to the candidate routes on the navigation planning interface; wherein the first estimated energy consumption information is used to represent the estimated energy consumption information of the vehicle traveling the candidate route with the energy consumption management function enabled, and the second estimated energy consumption information is used to represent the estimated energy consumption information of the vehicle traveling the candidate route without enabling the energy function; the estimated energy consumption optimization information is used to represent the gap between the first estimated energy consumption information and the second estimated energy consumption information.

[0332] In some embodiments, the vehicle energy consumption optimization display device further includes: an acquisition module for acquiring characteristic information of a target section in a target route in response to the vehicle enabling an energy consumption management function; and a control module for controlling the vehicle to travel on the target section in a power mode that matches the target section in a plurality of power modes based on the characteristic information of the target section in the target route.

[0333] In some embodiments, the control module is specifically used to: input characteristic information of the target road section into a power mode determination model based on artificial intelligence, and obtain a power mode matching the target road section output by the power mode determination model; and control the vehicle to travel on the target road section in a power mode matching the target road section among multiple power modes.

[0334] In some embodiments, the control module is specifically used to: obtain user driving habit information and / or vehicle driving status information; and control the vehicle to travel on the target road section in a power mode that matches the target road section among multiple power modes based on characteristic information of the target road section and user driving habit information and / or vehicle driving status information.

[0335] In some embodiments, the control module is specifically used to: input characteristic information of the target road section and user driving habit information and / or vehicle driving status information into a power mode determination model based on artificial intelligence, and obtain a power mode matching the target road section output by the power mode determination model; the vehicle driving status information includes at least one of the following: the real-time remaining power of the vehicle, the real-time remaining fuel of the vehicle; and control the vehicle to travel on the target road section in a power mode matching the target road section among multiple power modes.

[0336] In some embodiments, the multiple power modes include at least a pure electric mode and a hybrid mode.

[0337] In some embodiments, the characteristic information of the target road segment includes at least one of the following: road segment type, estimated travel time, estimated travel speed, road segment length, traffic light characteristics, and congestion characteristics.

[0338] In some embodiments, the target road segment in the target route is determined by: obtaining characteristic information of multiple initial road segments corresponding to the target route; the initial road segment is the road segment between two adjacent intersections in the target route; based on preset merging rules, the multiple initial road segments are merged according to the characteristic information of the multiple initial road segments to obtain one or more target road segments.

[0339] In some embodiments, the preset merging rules include one or more of the following: using the signal light feature to characterize the initial road segment with the signal light to determine it as the target road segment; merging adjacent initial road segments whose estimated speed difference is less than a preset speed threshold; merging the initial road segment whose road segment length is less than a preset length threshold into the longest initial road segment among the adjacent road segments.

[0340] In some embodiments, the estimated travel speed of the target road segment is determined based on the average estimated travel speed of the initial road segment corresponding to the target road segment.

[0341] In some embodiments, when the characteristic information of the target road section includes congestion characteristics, the estimated travel speed of the target road section is determined in the following manner: the initial travel speed corresponding to the target road section is determined based on the average estimated travel speed of the initial road section corresponding to the target road section; the initial travel speed is corrected based on the congestion characteristics corresponding to the target road section to obtain the estimated travel speed of the target road section.

[0342] In some embodiments, the vehicle energy consumption optimization display device further includes: a receiving module for receiving an activation instruction for an energy consumption management function; and an activation module for activating the energy consumption management function in response to the activation instruction.

[0343] In some embodiments, the receiving module is specifically used to receive a triggering operation on the management control of the energy consumption management function; wherein, the management control of the energy consumption management function is located on the center console of the vehicle; or the management control of the energy consumption management function is located in the interface of the map application; or, receive a voice command to turn on the energy consumption management function; or, receive an instruction to turn on the energy consumption management function sent by a remote device.

[0344] In some embodiments, the vehicle energy consumption optimization display device also includes: a display module for displaying a pop-up window prompting the energy consumption management function on the map interface in response to the user opening the map application; wherein, when the energy consumption management function is in an enabled state, the pop-up window prompts that the energy consumption management function is in use; or, when the energy consumption management function is in a disabled state, the pop-up window prompts the user whether to enable the energy consumption management function.

[0345] In some embodiments, the pop-up priority of the energy consumption management pop-up window is higher than the pop-up priority of other pop-up windows, and other pop-up windows include one or more of the following: commuting card, low oil pop-up window, low battery pop-up window, and continue navigation card.

[0346] In some embodiments, the display device for vehicle energy consumption optimization also includes: a closing module, which is used to close the energy consumption management pop-up window when preset conditions are met; the preset conditions include one or more of the following: the display time of the energy consumption management pop-up window is greater than or equal to the preset time; the number of displays of the energy consumption management pop-up window is greater than or equal to the preset number; and receiving an instruction to close the energy consumption management pop-up window.

[0347] In some embodiments, the output module is further used to: in response to the vehicle switching the power mode based on the energy consumption management function, output prompt information for prompting the power mode to switch.

[0348] In some embodiments, the output module is also used to: when the energy consumption management function is not enabled in the vehicle, if it is determined that the navigation route of the vehicle meets the usage requirements of the energy consumption management function, output a prompt message for enabling the energy consumption management function or enable the energy consumption management function.

[0349] In some embodiments, the requirements for using the energy consumption management function include at least one of the following: the navigation route includes a first type of target section and a second type of target section; the first type of target section is a target section with an estimated passing speed lower than a first preset speed, and the second type of target section is a target section with an estimated passing speed higher than a second preset speed; the length of the navigation route is higher than a preset length threshold; the vehicle supports the energy consumption management function.

[0350] Figure 11 This is a schematic diagram of the structure of an electronic device provided in an embodiment of the present application. Figure 11 As shown, the electronic device 130 includes but is not limited to: a processor 1301 and a memory 1302 .

[0351] The memory 1302 is configured to store executable instructions of the processor 1301. It is understood that the processor 1301 is configured to execute instructions to implement the vehicle interior noise reduction method in the above embodiment.

[0352] The processor 1301 is the control center of the electronic device. It uses various interfaces and routes to connect the various parts of the entire electronic device. By running or executing software programs and / or modules stored in the memory 1302 and calling data stored in the memory 1302, it performs various functions of the electronic device and processes data, thereby controlling the electronic device as a whole. The processor 1301 may include one or more processing modules. Optionally, the processor 1301 may integrate an application processor and a modem processor, wherein the application processor mainly processes the operating system, user interface, and application programs, and the modem processor mainly processes wireless communications. It is understandable that the above-mentioned modem processor may not be integrated into the processor 1301.

[0353] Memory 1302 can be used to store software programs and various data. Memory 1302 may primarily include a program storage area and a data storage area. The program storage area may store an operating system and application programs required by at least one functional module (e.g., an acquisition unit, a determination module, a processing unit, etc.). Furthermore, memory 1302 may include high-speed random access memory and non-volatile memory, such as at least one disk storage device, a flash memory device, or other volatile solid-state storage device.

[0354] The present application also provides a hybrid vehicle, comprising the above-mentioned electronic device, vehicle energy consumption optimization device or vehicle energy consumption optimization display device.

[0355] In some embodiments, the present application also provides a computer program product, which includes a computer program. When the computer program is executed by a device, the device executes any of the methods described above.

[0356] In this way, the computer program in the computer program product can be customized according to the specific needs and operating conditions of the device, realizing a personalized control method and improving the adaptability and flexibility of the device control.

[0357] In addition, the computer program product can be executed on different devices or systems to achieve cross-platform applicability, provide a unified control method for different types of devices, and improve the integration and interoperability of the system.

[0358] Although the present application has been described with reference to specific features and embodiments thereof, it is apparent that various modifications and combinations may be made thereto without departing from the spirit and scope of the present application. Accordingly, this specification and the drawings are merely illustrative of the present application as defined by the appended claims and are deemed to cover any and all modifications, variations, combinations or equivalents within the scope of the present application. Obviously, those skilled in the art may make various modifications and variations to the present application without departing from the spirit and scope of the present application. Thus, the present application is intended to include such modifications and variations as fall within the scope of the claims of the present application and their equivalents.

[0359] The above are merely specific embodiments of the present invention, but the scope of protection of the present invention is not limited thereto. Any modifications or substitutions that can be easily conceived by a person skilled in the art within the technical scope disclosed in the present invention should be included within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be based on the scope of protection of the claims.

Claims

1. A method for displaying vehicle energy consumption optimization, characterized in that: include: Outputs energy management information when the vehicle is in navigation mode and the energy management function is enabled.

2. The method according to claim 1, characterized in that The energy consumption management function is used to determine the power mode adopted by the vehicle when traveling on each target section of the navigation route based on artificial intelligence technology.

3. The method according to claim 1, characterized in that The energy consumption management information includes an energy consumption management identifier, and the output energy consumption management information includes: In the navigation interface of the vehicle, the energy consumption management identifier is displayed along the navigation route.

4. The method according to claim 3, characterized in that The navigation interface also includes a vehicle position mark; the energy consumption management mark is set in the area below the vehicle position mark, and the distance from the vehicle position mark is less than or equal to a preset distance.

5. The method according to claim 3, characterized in that The method further comprises: When lane-level navigation and / or autonomous driving navigation is displayed on the navigation interface, or when the scale of the map in the navigation interface is smaller than a preset scale threshold, the energy consumption management indicator is hidden.

6. The method according to claim 1, characterized in that The energy consumption management information includes energy consumption optimization information, and the output energy consumption management information includes: In response to the completion of navigation of the vehicle, the energy consumption optimization information is output, and the energy consumption optimization information is used to characterize the difference between the actual energy consumption information of the vehicle traveling the navigation route and the estimated energy consumption information of the vehicle traveling the navigation route without enabling the energy consumption management function.

7. The method according to claim 6, characterized in that The energy consumption optimization information includes at least one of the following: fuel optimization information, power optimization information, and comprehensive optimization information; The comprehensive optimization information is determined based on the fuel quantity optimization information and the equivalent fuel quantity information corresponding to the power quantity optimization information, and is used to characterize the fuel optimization status of the vehicle.

8. The method according to claim 6, characterized in that The outputting of the energy consumption optimization information includes at least one of the following: Displaying the energy consumption optimization information on the navigation end interface; Displaying the energy consumption optimization information on the trip record interface; broadcasting the energy consumption optimization information in voice form; The energy consumption optimization information is output to a terminal device.

9. The method according to claim 6, characterized in that The method further comprises: When the distance between the vehicle and the destination is less than or equal to a preset distance, determining that the vehicle navigation is terminated; or In response to receiving a touch operation on a function control for exiting navigation, determining that the vehicle navigation is terminated; or, In response to receiving a voice instruction to end navigation, it is determined that the vehicle navigation is ended.

10. The method according to claim 1, characterized in that The energy consumption management information includes real-time energy consumption optimization information; The output energy consumption management information includes: During the driving process of the vehicle, real-time energy consumption optimization information is displayed. The real-time energy consumption optimization information is used to represent the difference between the actual energy consumption information of the vehicle when traveling from the initial location to the current location when the energy consumption management function is enabled, and the estimated energy consumption information of the vehicle when traveling from the initial location to the current location when the energy function is not enabled.

11. The method according to claim 1, wherein The method further comprises: Displaying candidate routes and estimated energy consumption optimization information corresponding to the candidate routes on the navigation planning interface; or, Displaying the candidate route and the first estimated energy consumption information and / or the second estimated energy consumption information corresponding to the candidate route on the navigation planning interface; Among them, the first estimated energy consumption information is used to represent the estimated energy consumption information of the vehicle traveling the candidate route when the energy consumption management function is enabled, and the second estimated energy consumption information is used to represent the estimated energy consumption information of the vehicle traveling the candidate route when the energy function is not enabled; the estimated energy consumption optimization information is used to represent the gap between the first estimated energy consumption information and the second estimated energy consumption information.

12. The method according to claim 1, characterized in that The method further comprises: In response to the vehicle enabling the energy consumption management function, obtaining characteristic information of a target road section in a target route; Based on the characteristic information of the target section in the target route, the vehicle is controlled to travel on the target section in a power mode that matches the target section among multiple power modes.

13. The method according to claim 12, characterized in that The controlling the vehicle to travel on the target section in a power mode matching the target section among multiple power modes based on the characteristic information of the target section in the target route includes: Inputting the characteristic information of the target road section into a power mode determination model based on artificial intelligence to obtain a power mode matching the target road section output by the power mode determination model; The vehicle is controlled to travel on the target road section in a power mode that matches the target road section among multiple power modes.

14. The method according to claim 12, characterized in that The controlling the vehicle to travel on the target section in a power mode matching the target section among multiple power modes based on the characteristic information of the target section in the target route includes: Obtaining user driving habit information and / or vehicle driving status information; Based on the characteristic information of the target road section and the user's driving habit information and / or the vehicle driving state information, the vehicle is controlled to travel on the target road section in a power mode that matches the target road section among multiple power modes.

15. The method according to claim 14, characterized in that The controlling the vehicle to travel on the target road section in a power mode matching the target road section among multiple power modes based on the characteristic information of the target road section and the user's driving habit information and / or the vehicle driving state information includes: Inputting the characteristic information of the target road section and the user's driving habit information and / or the vehicle driving state information into a power mode determination model based on artificial intelligence, thereby obtaining a power mode matching the target road section output by the power mode determination model; the vehicle driving state information includes at least one of the following: the real-time remaining power of the vehicle and the real-time remaining fuel of the vehicle; The vehicle is controlled to travel on the target road section in a power mode that matches the target road section among multiple power modes.

16. The method according to any one of claims 12 to 15, characterized in that: The multiple power modes include at least a pure electric mode and a hybrid mode.

17. The method according to any one of claims 12 to 15, characterized in that: The characteristic information of the target road section includes at least one of the following: road section type, estimated travel time, estimated travel speed, road section length, traffic light characteristics, and congestion characteristics.

18. The method according to any one of claims 12 to 15, characterized in that: The target section in the target route is determined in the following manner: Acquire characteristic information of a plurality of initial road sections corresponding to the target route; the initial road section is a road section between two adjacent intersections in the target route; Based on a preset merging rule, the multiple initial road sections are merged according to the feature information of the multiple initial road sections to obtain one or more target road sections.

19. The method according to claim 18, characterized in that The preset merging rules include one or more of the following: Using the signal light feature to characterize an initial road section having a signal light, determining the initial road section as the target road section; Merge adjacent initial road segments whose difference in estimated speed is less than a preset speed threshold; The initial road segments whose lengths are lower than a preset length threshold are merged into the longest initial road segment among the adjacent road segments.

20. The method according to claim 18, wherein The estimated travel speed of the target road section is determined based on the average estimated travel speed of the initial road section corresponding to the target road section.

21. The method according to claim 20, characterized in that When the characteristic information of the target road section includes congestion characteristics, the estimated travel speed of the target road section is determined by: Determining an initial travel speed corresponding to the target road section based on an average estimated travel speed of the initial road section corresponding to the target road section; The initial travel speed is corrected based on the congestion characteristics corresponding to the target road section to obtain an estimated travel speed of the target road section.

22. The method according to any one of claims 1 to 15, characterized in that The method further comprises: receiving an instruction to start the energy consumption management function; In response to the activation instruction, the energy consumption management function is activated.

23. The method according to claim 22, characterized in that The receiving an instruction to enable the energy consumption management function includes: Receiving a triggering operation for a management control of the energy consumption management function; wherein the management control of the energy consumption management function is located on the center console of the vehicle; or the management control of the energy consumption management function is located in the interface of a map application; or, Receiving a voice command to start the energy consumption management function; or An instruction to enable the energy consumption management function is received from a remote device.

24. The method according to any one of claims 1 to 15, characterized in that The method further comprises: In response to the user opening the map application, a pop-up window prompting the energy consumption management function is displayed on the map interface; wherein, when the energy consumption management function is in an enabled state, the pop-up window prompts that the energy consumption management function is in use; or, when the energy consumption management function is in a disabled state, the pop-up window prompts the user whether to enable the energy consumption management function.

25. The method according to claim 24, characterized in that The pop-up priority of the energy consumption management pop-up window is higher than the pop-up priority of other pop-up windows, and the other pop-up windows include one or more of the following: commuting card, low oil pop-up window, low battery pop-up window, and continue navigation card.

26. The method according to claim 24, characterized in that The method further comprises: If a preset condition is met, the energy consumption management pop-up window is closed; the preset condition includes one or more of the following: The display time of the energy consumption management pop-up window is greater than or equal to the preset time; The energy consumption management pop-up window is displayed more than or equal to a preset number of times; An instruction to close the energy consumption management pop-up window is received.

27. The method according to any one of claims 1 to 15, characterized in that The method further comprises: In response to the vehicle switching the power mode based on the energy consumption management function, prompt information for prompting the power mode to be switched is output.

28. The method according to any one of claims 1 to 15, characterized in that The method further comprises: In a case where the energy consumption management function is not enabled for the vehicle, if it is determined that the navigation route of the vehicle meets the usage requirements of the energy consumption management function, a prompt message for enabling the energy consumption management function is output or the energy consumption management function is enabled.

29. The method according to claim 28, characterized in that The requirements for using the energy consumption management function include at least one of the following: The navigation route includes a first type of target road segment and a second type of target road segment; the first type of target road segment is a target road segment with an estimated passing speed lower than a first preset speed, and the second type of target road segment is a target road segment with an estimated passing speed higher than a second preset speed; The length of the navigation route is greater than a preset length threshold; The vehicle supports the energy consumption management function.

30. An electronic device, characterized in that: The electronic device comprises a processor and a memory, wherein the processor is connected to the memory, and the memory stores computer instructions. When the computer instructions are executed on the electronic device, the electronic device executes the method according to any one of claims 1 to 29.

31. A computer-readable storage medium, characterized in that The computer-readable storage medium stores computer-executable instructions, and when the computer-executable instructions are executed on a computer, the computer is caused to execute the method according to any one of claims 1 to 29.

32. A hybrid vehicle, characterized in that: Including the electronic device according to claim 30, or the computer-readable storage medium according to claim 31.

33. A computer program product comprising instructions, characterized in that: When the instructions are executed on a computer, the computer performs the method according to any one of claims 1 to 29.

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