Intelligent charging planning method and apparatus for vehicle, and electronic device, medium and vehicle

Abstract

An intelligent charging planning method and apparatus for a vehicle, and an electronic device, a medium and a vehicle. The method comprises: acquiring vehicle state-of-charge information, a current vehicle position and a vehicle navigation planning route (S101); acquiring charging station preference information, and on the basis of the current vehicle position, the vehicle navigation planning route and the charging station preference information, searching for a plurality of target charging stations along the vehicle navigation planning route and sorting the target charging stations by distance, so as to obtain a corresponding charging station list (S102); in response to a point selection operation on the target charging stations, determining target charging stations, which are selected by means of point selection, as waypoints, and marking the waypoints (S103); and acquiring charging station state information of the target charging stations in the charging station list, and generating an intelligent charging planning route in combination with the vehicle state-of-charge information, the current vehicle position, the vehicle navigation planning route and the waypoints (S104).

Description

Vehicle intelligent charging planning methods, devices, electronic equipment, media and vehicles Technical Field

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

[0002] Long-distance driving of new energy vehicles often presents range anxiety, which is typically addressed by planning charging stops along the way. However, current charging planning technologies are relatively rigid and cannot be adapted to the vehicle's actual operating conditions in real time. Furthermore, the availability of charging and battery swapping services is still limited, with charging stations being unevenly distributed and in limited numbers. Charging itself also takes time, and waiting in line for charging stations can further waste time and energy. All of these factors contribute to charging anxiety for users driving electric vehicles. In addition, the lack of real-time information synchronization makes it difficult for owners to make timely changes to their charging plans, resulting in inadequate charging planning.

[0003] Summary of the Invention

[0004] To address at least one of the technical problems existing in the aforementioned related technologies, embodiments of this application propose a vehicle intelligent charging planning method, device, electronic device, medium, and vehicle, which can realize intelligent charging planning, meet users' charging needs, and solve users' charging anxiety.

[0005] On the one hand, embodiments of this application propose a vehicle intelligent charging planning method, the method comprising the following steps:

[0006] Obtain vehicle battery status information, vehicle current location, and vehicle navigation planned route;

[0007] Obtain charging station preference information; based on the vehicle's current location, the vehicle's navigation route, and the charging station preference information, search for multiple target charging stations along the vehicle's navigation route and sort them by distance to obtain a corresponding charging station list.

[0008] In response to the marking operation of the target charging station, each of the target charging stations selected by the marking is determined as a waypoint and each waypoint is marked.

[0009] Obtain the charging station status information of each target charging station in the charging station list, and combine it with the vehicle battery status information, the vehicle's current location, the vehicle's navigation planned route, and each waypoint to generate an intelligent charging planning route.

[0010] In some embodiments, the method further includes:

[0011] Add waypoints to a number of selected target reference points along the vehicle navigation planning route, and mark each of the target reference points as a waypoint;

[0012] Determine the path points to be deleted from the path points and delete them.

[0013] In some embodiments, the charging station status information of the target charging station includes at least the charging station location, charging station type, usage status of each charging pile in the charging station, and charging capacity of each charging pile in the charging station.

[0014] In some embodiments, the step of obtaining the charging station status information of each target charging station in the charging station list, and generating a smart charging planning route by combining the vehicle battery status information, the vehicle's current location, the vehicle's navigation planning route, and each waypoint specifically includes:

[0015] The vehicle navigation route is updated based on each of the waypoints, the current location of the vehicle, and the selected destination in the vehicle navigation route.

[0016] Based on the vehicle's battery status information, the vehicle's current location, and the updated vehicle navigation route, determine whether the vehicle can reach the destination.

[0017] When it is determined that the vehicle can reach the destination, the charging station status information of each destination target charging station is obtained. Based on the charging station status information of each destination target charging station, the optimal charging station is selected from the destination target charging stations. Based on the charging station status information of the optimal charging station and the vehicle navigation planning route, a first charging planning route corresponding to the optimal charging station is generated. The destination target charging stations are each of the target charging stations in the area near the destination.

[0018] When it is determined that the vehicle cannot reach the destination, several preferred charging stations are determined from the route points based on the vehicle's battery status information and the charging station status information corresponding to each route point. Based on the vehicle's current location and the charging station status information of each preferred charging station, a second charging planning route corresponding to each preferred charging station is generated.

[0019] In some embodiments, the step of determining whether the vehicle can reach the destination based on the vehicle battery status information and the updated vehicle navigation route specifically includes:

[0020] Based on the vehicle's current location and the updated vehicle navigation route, the distance the vehicle needs to travel is determined.

[0021] Based on the vehicle's battery status information, determine the vehicle's remaining driving range.

[0022] When the vehicle's remaining battery range is greater than the vehicle's remaining driving distance and the distance difference is greater than a given threshold, it is determined that the vehicle can reach the destination; otherwise, it is determined that the vehicle cannot reach the destination.

[0023] In some embodiments, the step of obtaining charging station status information of each destination charging station when it is determined that the vehicle can reach the destination, selecting the optimal charging station from the destination charging stations based on the charging station status information of each destination charging station, and generating a first charging planning route corresponding to the optimal charging station based on the charging station status information of the optimal charging station and the vehicle navigation planning route, specifically includes:

[0024] Obtain the location of the destination, and determine each destination target charging station within a given distance range based on the location of the destination;

[0025] Based on the charging station status information of each destination target charging station, the optimal charging station is selected from the destination target charging stations through automatic system evaluation or user selection. Based on the charging station status information of the optimal charging station and the vehicle navigation planning route, a charging route is planned to generate the first charging planning route.

[0026] In some embodiments, the method further includes:

[0027] When the vehicle's battery status information shows that the vehicle's battery level is less than a given battery threshold, a battery warning is issued. Based on the vehicle's current location and the charging station status information of each target charging station, the nearest target charging station is determined from multiple target charging stations. Based on the vehicle's current location and the location of the nearest target charging station, a charging route is generated.

[0028] In some embodiments, the method further includes:

[0029] When the number of newly added waypoints exceeds the given threshold, the route refresh mechanism is triggered. Based on the intelligent charging plan route and the newly added waypoints, the route is updated to obtain the updated intelligent charging plan route.

[0030] On the other hand, embodiments of this application propose a vehicle intelligent charging planning device, the device comprising:

[0031] The first module is used to obtain vehicle battery status information, vehicle current location, and vehicle navigation planned route;

[0032] The second module is used to obtain charging station preference information. Based on the current location of the vehicle, the vehicle navigation planned route and the charging station preference information, it searches for multiple target charging stations along the vehicle navigation planned route and sorts them by distance to obtain a corresponding charging station list.

[0033] The third module is used to respond to the marking operation of the target charging station, determine each of the target charging stations selected by marking as a waypoint and mark each of the waypoints;

[0034] The fourth module is used to obtain the charging station status information of each target charging station in the charging station list, and generate an intelligent charging planning route by combining the vehicle's battery status information, the vehicle's current location, the vehicle's navigation planning route, and each waypoint.

[0035] On the other hand, embodiments of this application propose an electronic device, which includes a memory and a processor. The memory stores a computer program, and the processor executes the computer program to implement the aforementioned intelligent vehicle charging planning method.

[0036] On the other hand, embodiments of this application propose a computer-readable storage medium storing a computer program that, when executed by a processor, implements the aforementioned intelligent vehicle charging planning method.

[0037] In another aspect, embodiments of this application propose a vehicle that includes the vehicle intelligent charging planning device or the electronic device described above.

[0038] This application provides a vehicle intelligent charging planning method, device, electronic device, medium, and vehicle. It obtains a charging station list containing multiple target charging stations by acquiring charging station preference information, the vehicle's current location, and the vehicle's navigation planning route. The target charging stations are marked, waypoints are determined, and an intelligent planned route is generated by combining the waypoints, vehicle battery status information, vehicle's current location, the vehicle's navigation planning route, and the charging station list. This application can combine real-time vehicle usage conditions such as battery status and user-defined charging preferences to plan charging routes, achieving intelligent charging planning, improving the rationality of charging planning, meeting user charging needs, and effectively solving users' charging anxiety. Attached Figure Description

[0039] Figure 1 is a flowchart of a vehicle intelligent charging planning method provided in an embodiment of this application;

[0040] Figure 2 is a schematic diagram of searching for target charging stations along the way in an embodiment of this application;

[0041] Figure 3 is a schematic diagram of the charging station list in an embodiment of this application;

[0042] Figure 4 is a flowchart of step S104 in an embodiment of this application;

[0043] Figure 5 is a flowchart of step S202 in an embodiment of this application;

[0044] Figure 6 is a flowchart of step S203 in an embodiment of this application;

[0045] Figure 7 is a schematic diagram of generating the first charging route in an embodiment of this application;

[0046] Figure 8 is another flowchart of a vehicle intelligent charging planning method provided in an embodiment of this application;

[0047] Figure 9 is a structural schematic diagram of a vehicle intelligent charging planning device provided in an embodiment of this application;

[0048] Figure 10 is a schematic diagram of the hardware structure of an electronic device provided in an embodiment of this application. Detailed Implementation

[0049] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.

[0050] It should be noted that although functional modules are divided in the device schematic diagram and a logical order is shown in the flowchart, in some cases, the steps shown or described may be performed in a different order than the module division in the device or the order in the flowchart. The terms "first," "second," etc., in the specification, claims, and the aforementioned drawings are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence.

[0051] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used herein is for the purpose of describing embodiments of this application only and is not intended to limit this application.

[0052] Long-distance driving of new energy vehicles often presents range anxiety, which is typically addressed by planning charging stops along the way. However, current charging planning technologies are relatively rigid and cannot be adapted to the vehicle's actual operating conditions in real time. Furthermore, the availability of charging and battery swapping services is still limited, with charging stations being unevenly distributed and in limited numbers. Charging itself also takes time, and waiting in line for charging stations can further waste time and energy. All of these factors contribute to charging anxiety for users driving electric vehicles. In addition, the lack of real-time information synchronization makes it difficult for owners to make timely changes to their charging plans, resulting in inadequate charging planning.

[0053] Based on this, embodiments of this application propose a vehicle intelligent charging planning method, device, electronic device, medium, and vehicle, which can realize intelligent charging planning, meet users' charging needs, and solve users' charging anxiety. This method can cover various charging planning scenarios, such as before navigation, during navigation route calculation, after navigation starts, and low battery charging, comprehensively meeting users' charging needs and solving charging anxiety under different charging planning scenarios.

[0054] Referring to Figure 1, which is an optional flowchart of a vehicle intelligent charging planning method provided in an embodiment of this application, the method may include, but is not limited to, steps S101 to S104:

[0055] Step S101: Obtain vehicle battery status information, vehicle current location, and vehicle navigation planned route;

[0056] Step S102: Obtain charging station preference information. Based on the vehicle's current location, the vehicle's navigation route, and the charging station preference information, search for multiple target charging stations along the vehicle's navigation route and sort them by distance to obtain the corresponding charging station list.

[0057] Step S103: In response to the marking operation of the target charging station, each target charging station selected by marking is determined as a waypoint and each waypoint is marked.

[0058] Step S104: Obtain the charging station status information of each target charging station in the charging station list, and generate an intelligent charging planning route by combining the vehicle's battery status information, the vehicle's current location, the vehicle's navigation planning route, and each waypoint.

[0059] In step S102 of some embodiments, the user enters charging station preference information into the vehicle system, including charging station type preference, charging station power preference and charging station usage status preference, such as the charging pile idle rate being greater than 70% and the charging pile voltage being greater than X volts. The specific value of X can be set by the user according to their actual needs.

[0060] By acquiring charging station preference information and combining it with the vehicle's current location and the vehicle's navigation route, the system searches for charging stations along the route. Optionally, it searches for several target charging stations within a radius of Y kilometers along the vehicle's navigation route that match the charging station preferences, centered on the vehicle's current location. Based on the vehicle's current location and the locations of each target charging station, it calculates the real-time distance between each target charging station and the vehicle's current location, sorts the target charging stations according to the real-time distance, and generates a charging station list. In the charging station list, various labels can be added to the target charging stations, such as: the charging station with the shortest current arrival time or the charging station with the closest current distance. The value of Y can be set according to actual application needs and is not limited here.

[0061] For example, referring to Figure 2, with the vehicle's current location G as the center, several target charging stations within a 3-kilometer radius along the vehicle's navigation planning route that meet the charging station preferences are searched. Target charging stations A to E are obtained through the search. After sorting by distance, a charging station list {target charging station E, target charging station A, target charging station B, target charging station C, and target charging station D} is obtained. Target charging station E is the closest target charging station, and so on.

[0062] Referring to Figure 3, which is an optional schematic diagram of the charging station list in an embodiment of this application, the list includes target charging station E, target charging station A, target charging station B, target charging station C, and target charging station D arranged in sequence. Target charging station E is labeled as the nearest charging station, and target charging station A is labeled as the charging station with the shortest arrival time. Each target charging station A has a corresponding charging station icon. When a user clicks on the corresponding charging station icon of each target charging station in the charging station list, they can view the usage status information of each target charging station.

[0063] In step S103 of some embodiments, a waypoint addition function is provided. Users can perform a marking operation on each target charging station, determine each target charging station selected by marking as a waypoint, and mark each waypoint. This allows the vehicle navigation route to be intelligently planned based on the waypoints, generating a corresponding intelligent charging route and solving the user's charging anxiety problem.

[0064] In step S104 of some embodiments, the charging station status information of the target charging station may include, but is not limited to, the location of the charging station, the type of the charging station, the usage status of each charging pile in the charging station, and the charging capacity of each charging pile in the charging station. For example, the usage status of the charging pile includes whether the charging pile has malfunctioned, the online / offline status of the charging pile, and whether the charging pile is idle or in use. The charging capacity of the charging pile includes information such as the charging voltage and maximum power of the charging pile.

[0065] In some embodiments, referring to FIG4, which is an optional flowchart of step S104 in an embodiment of the present application, step S104 may include, but is not limited to, steps S201 to S204:

[0066] Step S201: Update the vehicle navigation route based on each waypoint, the vehicle's current location, and the selected destination in the vehicle navigation route.

[0067] Step S202: Based on the vehicle's battery status information, the vehicle's current location, and the updated vehicle navigation route, determine whether the vehicle can reach its destination.

[0068] Step S203: When it is determined that the vehicle can reach the destination, obtain the charging station status information of each destination target charging station, select the optimal charging station from each destination target charging station based on the charging station status information of each destination target charging station, and generate the first charging planning route corresponding to the optimal charging station based on the charging station status information of the optimal charging station and the vehicle navigation planning route. Here, the destination target charging station is each target charging station in the area near the destination.

[0069] Step S204: When it is determined that the vehicle cannot reach the final destination, based on the vehicle's battery status information and the charging station status information corresponding to each route point, several preferred charging stations are determined from each route point. Based on the vehicle's current location and the charging station status information of each preferred charging station, a second charging planning route corresponding to each preferred charging station is generated.

[0070] In step S202 of some embodiments, the vehicle's battery status information, current location, and updated navigation route are combined to determine whether the vehicle can reach its destination. This avoids situations where the vehicle cannot reach its destination due to changes in battery level or other reasons, and also cannot find a charging station in time to charge, thus preventing charging anxiety.

[0071] In step S204 of some embodiments, when it is determined that the vehicle cannot reach the final destination based on the updated vehicle navigation route at the current battery level, the system automatically evaluates and ranks the target charging stations set as waypoints according to their charging station status information to obtain a charging station evaluation list. Based on a preset ranking threshold, each target charging station ranked within the ranking threshold in the charging station evaluation list is determined as a preferred charging station.

[0072] In some embodiments, referring to FIG5, which is an optional flowchart of step S202 in an embodiment of the present application, step S202 may include, but is not limited to, steps S301 to S303:

[0073] Step S301: Determine the distance the vehicle needs to travel based on the vehicle's current location and the updated vehicle navigation route.

[0074] Step S302: Determine the vehicle's remaining driving range based on the vehicle's battery status information;

[0075] Step S303: When the vehicle's remaining battery range is greater than the vehicle's remaining driving distance and the distance difference is greater than a given threshold, it is determined that the vehicle can reach the destination; otherwise, it is determined that the vehicle cannot reach the destination.

[0076] In steps S301 to S303 of some embodiments, the vehicle's remaining driving range is determined based on the vehicle's battery status information. The judgment is made based on the vehicle's remaining driving distance and the vehicle's remaining driving range. When it is determined that the vehicle cannot reach the destination, an unreachable warning is issued, and the user is prompted to update the intelligent charging route planning. The prompt message is in the form of: "The original destination is at risk of being unreachable due to the current battery level. The best charging route has been planned for you. Do you want to update?"

[0077] In some embodiments, referring to FIG6, which is an optional flowchart of step S203 in an embodiment of the present application, step S203 may include, but is not limited to, steps S401 to S402:

[0078] Step S401: Obtain the location of the destination; based on the location of the destination, determine each destination target charging station within a given distance range.

[0079] Step S402: Based on the charging station status information of each destination target charging station, the optimal charging station is selected from each destination target charging station through automatic system evaluation or user selection. Based on the charging station status information of the optimal charging station and combined with the vehicle navigation planning route, a charging route is planned to generate the first charging planning route.

[0080] In steps S401 to S402 of some embodiments, when it is determined that the vehicle is at its current battery level, it can reach the destination based on the updated vehicle navigation planning route. The remaining battery level after reaching the destination is calculated, the remaining battery mileage is determined based on the remaining battery level, and the remaining battery mileage is used as a distance threshold. Within the distance threshold, a target charging station near the destination is selected as the new destination, and the first charging planning route is generated as described above.

[0081] For example, assuming the distance threshold is set to 5km, when it is determined that the vehicle can reach the destination, all target charging stations within 5km of the destination are selected and identified as the destination target charging stations. Based on the charging station status information of each destination target charging station, the optimal charging station is selected from the destination target charging stations through automatic system evaluation or user selection. Then, the charging route is planned by combining the location information of the optimal charging station with the vehicle navigation planning route, and the first charging planning route is generated.

[0082] Referring to Figure 7, which is an optional schematic diagram of generating the first charging planning route in an embodiment of this application, route 1 is the vehicle navigation planning route, O is the current position of the vehicle, and L is the destination. Assuming that the above distance threshold is 3km, the destination target charging stations F to J are filtered within this distance threshold. Through automatic evaluation by the system or user selection, the destination target charging station H is determined as the optimal charging station. Based on the location information of the optimal charging station, the charging route is planned to generate route 2, which is the above-mentioned first charging planning route.

[0083] In some embodiments, referring to FIG8, which is another optional flowchart of a vehicle intelligent charging planning method provided in this application embodiment, the above-mentioned vehicle intelligent charging planning method may further include steps S501 to S504:

[0084] Step S501: Add waypoints to several selected target reference points along the vehicle navigation planning route, and mark each target reference point as a waypoint.

[0085] Step S502: Determine the path points to be deleted from the path points and delete them.

[0086] Step S503: When the vehicle power status information shows that the vehicle power is less than the given power threshold, a power warning prompt is issued. Based on the vehicle's current location and the charging station status information of each target charging station, the nearest target charging station is determined from multiple target charging stations. Based on the vehicle's current location and the location of the nearest target charging station, a charging planning route is generated.

[0087] Step S504: When the number of newly added waypoints exceeds the given addition threshold, the route refresh mechanism is triggered. The route is updated based on the smart charging planned route and the newly added waypoints to obtain the updated smart charging planned route.

[0088] In steps S501 and S502 of some embodiments, other landmarks or buildings (such as the aforementioned target references) displayed on the vehicle navigation map along the planned route can be added as waypoints, and a waypoint deletion function is provided, allowing users to delete the corresponding waypoints according to their own needs.

[0089] In step S503 of some embodiments, when the vehicle power status information shows that the vehicle power is less than a given power threshold, a low power warning is issued, and the nearest target charging station that meets the charging conditions is selected as the nearest target charging station. Then, a charging route is generated based on the nearest target charging station and the vehicle's current location.

[0090] Optionally, the battery threshold can be set to 20%. When the vehicle battery status information shows that the vehicle battery level is less than 20% of the total capacity, a charging route is generated.

[0091] In step S504 of some embodiments, when the number of newly added waypoints exceeds a given addition threshold, the route is automatically updated, and the route is planned in real time according to the user's waypoint selection, so that the user can pass through as many waypoints as possible on the current vehicle navigation planned route. For example, the addition threshold can be set to 10, and its specific value can be set according to actual needs, which is not limited here.

[0092] Referring to Figure 9, which is an optional structural schematic diagram of a vehicle intelligent charging planning device provided in an embodiment of this application, the device can implement the above-described vehicle intelligent charging planning method, and the device may include, but is not limited to, the following:

[0093] The first module is used to obtain vehicle battery status information, vehicle current location, and vehicle navigation planned route;

[0094] The second module is used to obtain charging station preference information. Based on the vehicle's current location, the vehicle's navigation route, and the charging station preference information, it searches for multiple target charging stations along the vehicle's navigation route and sorts them by distance to obtain a corresponding list of charging stations.

[0095] The third module is used to respond to the marking operation of the target charging station, to determine each target charging station selected by marking as a waypoint and to mark each waypoint;

[0096] The fourth module is used to obtain the charging station status information of each target charging station in the charging station list, and combine it with the vehicle's battery status information, the vehicle's current location, the vehicle's navigation planned route, and each waypoint to generate an intelligent charging planning route.

[0097] The specific implementation method of the vehicle intelligent charging planning device is basically the same as the specific implementation method of the above-mentioned vehicle intelligent charging planning method, and will not be described again here.

[0098] This application also provides an electronic device, which includes a memory and a processor. The memory stores a computer program, and the processor executes the computer program to implement the above-described intelligent vehicle charging planning method. This electronic device can be any intelligent terminal, including a tablet computer, an in-vehicle computer, or similar device.

[0099] Please refer to Figure 10, which illustrates the hardware structure of an electronic device according to another embodiment. The electronic device includes:

[0100] The processor 901 can be implemented using a general-purpose CPU (Central Processing Unit), microprocessor, application-specific integrated circuit (ASIC), or one or more integrated circuits, and is used to execute relevant programs to implement the technical solutions provided in the embodiments of this application.

[0101] The memory 902 can be implemented as a read-only memory (ROM), a static storage device, a dynamic storage device, or a random access memory (RAM). The memory 902 can store the operating system and other application programs. When the technical solutions provided in the embodiments of this specification are implemented through software or firmware, the relevant program code is stored in the memory 902 and is called and executed by the processor 901 using the vehicle intelligent charging planning method of the embodiments of this application.

[0102] The input / output interface 903 is used to implement information input and output;

[0103] The communication interface 904 is used to enable communication and interaction between this device and other devices. Communication can be achieved through wired means (such as USB, Ethernet cable, etc.) or wireless means (such as mobile network, WIFI, Bluetooth, etc.).

[0104] Bus 905 transmits information between various components of the device (e.g., processor 901, memory 902, input / output interface 903, and communication interface 904);

[0105] The processor 901, memory 902, input / output interface 903, and communication interface 904 are connected to each other within the device via bus 905.

[0106] This application also provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the above-described intelligent vehicle charging planning method.

[0107] Memory, as a non-transitory computer-readable storage medium, can be used to store non-transitory software programs and non-transitory computer-executable programs. Furthermore, memory may include high-speed random access memory, and may also include non-transitory memory, such as at least one disk storage device, flash memory device, or other non-transitory solid-state storage device. In some embodiments, memory may optionally include memory remotely located relative to the processor, and these remote memories can be connected to the processor via a network. Examples of such networks include, but are not limited to, the Internet, intranets, local area networks, mobile communication networks, and combinations thereof.

[0108] This application also provides a vehicle, which includes an electric drive assembly of the aforementioned vehicle intelligent charging planning device or electronic device. Specifically, the vehicle can be a private car, such as a sedan, SUV, MPV, or pickup truck. The vehicle can also be a commercial vehicle, such as a van, bus, small truck, or large trailer. The vehicle can be a gasoline-powered vehicle or a new energy vehicle. When the vehicle is a new energy vehicle, it can be a hybrid vehicle or a pure electric vehicle.

[0109] This application provides a vehicle intelligent charging planning method, device, electronic device, medium, and vehicle. It obtains charging station preference information, the vehicle's current location, and the vehicle's navigation planning route to acquire a charging station list containing multiple target charging stations. The target charging stations are marked, waypoints are determined, and an intelligent planning route is generated by combining the waypoints, vehicle battery status information, vehicle's current location, the vehicle's navigation planning route, and the charging station list. This application can combine real-time vehicle usage conditions such as battery status and user-defined charging preferences to plan charging routes, achieving intelligent charging planning, improving the rationality of charging planning, meeting user charging needs, and effectively solving users' charging anxiety.

[0110] The embodiments described in this application are for the purpose of more clearly illustrating the technical solutions of the embodiments of this application, and do not constitute a limitation on the technical solutions provided by the embodiments of this application. As those skilled in the art will know, with the evolution of technology and the emergence of new application scenarios, the technical solutions provided by the embodiments of this application are also applicable to similar technical problems.

[0111] Those skilled in the art will understand that the technical solutions shown in the figures do not constitute a limitation on the embodiments of this application, and may include more or fewer steps than shown, or combine certain steps, or different steps.

[0112] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs.

[0113] Those skilled in the art will understand that all or some of the steps in the methods disclosed above, as well as the functional modules / units in the systems and devices, can be implemented as software, firmware, hardware, or suitable combinations thereof.

[0114] The terms “first,” “second,” “third,” “fourth,” etc. (if present) in the specification and accompanying drawings of this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of this application described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms “comprising” and “having,” and any variations thereof, are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0115] It should be understood that in this application, "at least one (item)" means one or more, and "more than" means two or more. "And / or" is used to describe the relationship between related objects, indicating that three relationships can exist. For example, "A and / or B" can represent three cases: only A exists, only B exists, and both A and B exist simultaneously, where A and B can be singular or plural. The character " / " generally indicates that the preceding and following related objects are in an "or" relationship. "At least one (item) of the following" or similar expressions refer to any combination of these items, including any combination of single or plural items. For example, at least one (item) of a, b, or c can represent: a, b, c, "a and b", "a and c", "b and c", or "a and b and c", where a, b, and c can be single or multiple.

[0116] In the several embodiments provided in this application, it should be understood that the disclosed apparatus and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of the units described above is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection between devices or units through some interfaces, and may be electrical, mechanical, or other forms.

[0117] The units described above as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0118] Furthermore, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0119] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes multiple instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of the various embodiments of this application. The aforementioned storage medium includes various media capable of storing programs, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0120] The preferred embodiments of the present application have been described above with reference to the accompanying drawings, but this does not limit the scope of the claims of the present application. Any modifications, equivalent substitutions, and improvements made by those skilled in the art without departing from the scope and substance of the embodiments of the present application shall be within the scope of the claims of the present application.

Claims

1. A vehicle intelligent charging planning method, characterized in that, The method includes the following steps: Obtain vehicle battery status information, vehicle current location, and vehicle navigation planned route; Obtain charging station preference information; based on the vehicle's current location, the vehicle's navigation route, and the charging station preference information, search for multiple target charging stations along the vehicle's navigation route and sort them by distance to obtain a corresponding charging station list. In response to the marking operation of the target charging station, each of the target charging stations selected by the marking is determined as a waypoint and each waypoint is marked. Obtain the charging station status information of each target charging station in the charging station list, and combine it with the vehicle battery status information, the vehicle's current location, the vehicle's navigation planned route, and each waypoint to generate an intelligent charging planning route.

2. The intelligent vehicle charging planning method according to claim 1, characterized in that, The method further includes: Add waypoints to a number of selected target reference points along the vehicle navigation planning route, and mark each of the target reference points as a waypoint; Determine the path points to be deleted from the path points and delete them.

3. The intelligent vehicle charging planning method according to claim 1, characterized in that, The charging station status information of the target charging station includes at least the location of the charging station, the type of the charging station, the usage status of each charging pile in the charging station, and the charging capacity of each charging pile in the charging station.

4. The intelligent vehicle charging planning method according to claim 1, characterized in that, The step of obtaining the charging station status information of each target charging station in the charging station list, and combining it with the vehicle's battery status information, the vehicle's current location, the vehicle's navigation planned route, and each waypoint to generate a smart charging planned route specifically includes: The vehicle navigation route is updated based on each of the waypoints, the current location of the vehicle, and the selected destination in the vehicle navigation route. Based on the vehicle's battery status information, the vehicle's current location, and the updated vehicle navigation route, determine whether the vehicle can reach the destination. When it is determined that the vehicle can reach the destination, the charging station status information of each destination target charging station is obtained. Based on the charging station status information of each destination target charging station, the optimal charging station is selected from the destination target charging stations. Based on the charging station status information of the optimal charging station and the vehicle navigation planning route, a first charging planning route corresponding to the optimal charging station is generated. The destination target charging stations are each of the target charging stations in the area near the destination. When it is determined that the vehicle cannot reach the destination, several preferred charging stations are determined from the route points based on the vehicle's battery status information and the charging station status information corresponding to each route point. Based on the vehicle's current location and the charging station status information of each preferred charging station, a second charging planning route corresponding to each preferred charging station is generated.

5. The intelligent vehicle charging planning method according to claim 4, characterized in that, The step of determining whether the vehicle can reach the destination based on the vehicle's battery status information and the updated vehicle navigation route specifically includes: Based on the vehicle's current location and the updated vehicle navigation route, the distance the vehicle needs to travel is determined. Based on the vehicle's battery status information, determine the vehicle's remaining driving range. When the vehicle's remaining battery range is greater than the vehicle's remaining driving distance and the distance difference is greater than a given threshold, it is determined that the vehicle can reach the destination; otherwise, it is determined that the vehicle cannot reach the destination.

6. The intelligent vehicle charging planning method according to claim 4, characterized in that, The step of obtaining the charging station status information of each destination charging station when it is determined that the vehicle can reach the destination, selecting the optimal charging station from among the destination charging stations based on the charging station status information of each destination charging station, and generating the first charging planning route corresponding to the optimal charging station based on the charging station status information of the optimal charging station and the vehicle navigation planning route, specifically includes: Obtain the location of the destination, and determine each destination target charging station within a given distance range based on the location of the destination; Based on the charging station status information of each destination target charging station, the optimal charging station is selected from the destination target charging stations through automatic system evaluation or user selection. Based on the charging station status information of the optimal charging station and the vehicle navigation planning route, a charging route is planned to generate the first charging planning route.

7. The intelligent vehicle charging planning method according to claim 1, characterized in that, The method further includes: When the vehicle's battery status information shows that the vehicle's battery level is less than a given battery threshold, a battery warning is issued. Based on the vehicle's current location and the charging station status information of each target charging station, the nearest target charging station is determined from multiple target charging stations. Based on the vehicle's current location and the location of the nearest target charging station, a charging route is generated.

8. The intelligent vehicle charging planning method according to claim 1, characterized in that, The method further includes: When the number of newly added waypoints exceeds the given threshold, the route refresh mechanism is triggered. Based on the intelligent charging plan route and the newly added waypoints, the route is updated to obtain the updated intelligent charging plan route.

9. A vehicle intelligent charging planning device, characterized in that, The device includes: The first module is used to obtain vehicle battery status information, vehicle current location, and vehicle navigation planned route; The second module is used to obtain charging station preference information. Based on the current location of the vehicle, the vehicle navigation planned route and the charging station preference information, it searches for multiple target charging stations along the vehicle navigation planned route and sorts them by distance to obtain a corresponding charging station list. The third module is used to determine the selected target charging stations in response to the marking operation. Identify and mark the waypoints; The fourth module is used to obtain the charging station status information of each target charging station in the charging station list, and generate an intelligent charging planning route by combining the vehicle's battery status information, the vehicle's current location, the vehicle's navigation planning route, and each waypoint.

10. An electronic device, characterized in that, The electronic device includes a memory and a processor. The memory stores a computer program, and the processor executes the computer program to implement the vehicle intelligent charging planning method according to any one of claims 1 to 8.

11. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by the processor, it implements the vehicle intelligent charging planning method according to any one of claims 1 to 8.

12. A vehicle, characterized in that, The vehicle includes the vehicle intelligent charging planning device as described in claim 9 or the electronic device as described in claim 10.

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