New energy automobile charging management method, system, equipment and medium
Through intelligent charging planning and navigation, new energy vehicles can effectively manage charging during long-distance driving, solve the problems of uneven distribution of charging facilities and inconvenient reservations, and improve charging efficiency and user experience.
Patent Information
- Application Number
- CN202411710607.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-11-27
- Publication Date
- 2025-02-28
AI Technical Summary
New energy vehicles face uneven distribution of charging facilities, inconvenient charging appointments, and mismatch of driving paths and charging needs during long-distance driving, resulting in limited long-distance travel capabilities and user satisfaction.
By determining whether the vehicle can support driving to the preset destination, obtain the preset navigation route, calculate the theoretical location of the remaining energy, search and book the target charging equipment, plan the navigation route, and repeat the process until the vehicle can drive to the destination.
Ensure that the vehicle will not break down due to energy exhaustion during driving, improve charging efficiency, reduce charging waiting time, reduce driving burden, and improve user experience and satisfaction.
Smart Images

Figure CN119527092A_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the technical field of new energy vehicle charging management, and in particular to new energy vehicle charging management methods, systems, equipment and media. Background Art
[0002] As the world pays more and more attention to environmental protection and sustainable development, the popularity of new energy vehicles, as an important means to reduce carbon emissions and promote green travel, has increased year by year. New energy vehicles, especially electric vehicles, rely on electricity as a power source, so charging management has become a key link to ensure the normal operation of the vehicle and user experience. However, new energy vehicles currently face challenges such as uneven distribution of charging facilities, inconvenient charging reservations, and mismatch between driving routes and charging needs during long-distance driving. These problems seriously restrict the long-distance travel capabilities and user satisfaction of new energy vehicles. Summary of the invention
[0003] The main purpose of this application is to provide a new energy vehicle charging management method, system, equipment and medium, aiming to solve the technical problems faced by new energy vehicles in the prior art during long-distance driving, such as uneven distribution of charging facilities, inconvenient charging reservations, and mismatch between driving routes and charging needs.
[0004] To achieve the above objectives, in a first aspect, the present application provides a new energy vehicle charging management method, comprising:
[0005] According to the starting position and the preset destination of the vehicle, determining whether the vehicle can support driving to the preset destination by relying on the energy it carries;
[0006] If not, obtaining a preset navigation route for the vehicle from the starting location to the preset destination;
[0007] According to the preset navigation route, obtaining a theoretical position of the vehicle when the vehicle has a preset remaining energy;
[0008] According to the theoretical position, a target charging device within a preset range of the theoretical position is acquired, a charging reservation request is sent to the target charging device, and a target navigation route of the vehicle from the starting position to the target charging device is planned;
[0009] The location of the target charging device is used as a new starting location, and the above steps are repeated to sequentially acquire multiple target charging devices until the vehicle travels to a preset destination by carrying energy.
[0010] Optionally, the step of acquiring a target charging device within a preset range of the theoretical position according to the theoretical position, sending a charging reservation request to the target charging device, and planning a target navigation route for the vehicle from the starting position to the target charging device includes:
[0011] According to the theoretical position, obtaining at least one candidate charging device within a preset range of the theoretical position;
[0012] Obtaining a first distance score according to a first distance from the vehicle to each candidate charging device from the starting position;
[0013] Obtaining a second distance score according to a second distance from each candidate charging device to a preset destination;
[0014] estimating a time interval for the vehicle to reach the alternative charging device based on the first distance;
[0015] According to the time interval, predict the probability that the candidate charging device is in an idle state, and obtain an idle score;
[0016] Obtaining a device score according to the attributes of the candidate charging device;
[0017] The charging scores of the candidate charging devices are evaluated according to the first distance score, the second distance score, the idle score and the device score, and the candidate charging devices with charging scores greater than a preset threshold are marked as target charging devices.
[0018] Optionally, the step of predicting the probability that the candidate charging device is in an idle state according to the time interval and obtaining an idle score includes:
[0019] According to the time interval, obtaining online reservation information of the candidate charging equipment within the time interval and a preset time period before the time interval;
[0020] Obtaining on-site queuing information of an alternative charging device and other alternative charging devices in the same area associated with the alternative charging device;
[0021] Obtain historical queue information for the time interval;
[0022] According to the online reservation information, the on-site queuing information and the historical queuing information, the probability that the candidate charging equipment is in an idle state in the time interval is evaluated.
[0023] Optionally, the step of obtaining a device score according to the attributes of the candidate charging device includes:
[0024] According to the attribute of the candidate charging device, obtaining the charging type of the candidate charging device;
[0025] Obtaining a failure probability of the alternative charging device according to a historical maintenance record of the alternative charging device;
[0026] Acquire a safety index of the candidate charging device according to the real-time monitoring information of the candidate charging device;
[0027] A device score is obtained based on the charging type, failure probability, and safety index.
[0028] Optionally, the step of evaluating the charging scores of candidate charging devices according to the first distance score, the second distance score, the idle score and the device score, and marking the candidate charging devices with charging scores greater than a preset threshold as target charging devices, further includes:
[0029] Sort all target charging devices according to their charging scores from high to low to obtain a first sorting result;
[0030] The preset proportion of target charging devices is pushed to the user in sequence according to the first sorting result for confirmation.
[0031] Optionally, the step of acquiring a target charging device within a preset range of the theoretical position according to the theoretical position, sending a charging reservation request to the target charging device, and planning a target navigation route for the vehicle from the starting position to the target charging device includes:
[0032] According to the location information of the target charging device, obtaining a target navigation route of the vehicle from an initial location to the target charging device;
[0033] According to the target navigation route, obtaining whether there is a priority charging device on the target navigation route;
[0034] If not, sending a first reservation charging request to the target charging device, and planning a target navigation route for the vehicle from the starting position to the target charging device;
[0035] If so, a second reserved charging request is sent to the priority charging device, and a target navigation route for the vehicle from the starting position to the priority charging device is planned.
[0036] Optionally, the step of obtaining, according to the target navigation route, whether there is a priority charging device on the target navigation route includes:
[0037] The remaining energy of the vehicle when it reaches the location of the priority charging device is less than the target threshold, and the energy of the vehicle after charging is sufficient for the vehicle to travel from the location of the priority charging device to a preset destination or the next target charging device.
[0038] In a second aspect, the present application provides a new energy vehicle charging management system, comprising:
[0039] A determination module, configured to determine whether the vehicle can travel to the preset destination by relying on the energy it carries, based on the vehicle's starting position and the preset destination;
[0040] A preset navigation route acquisition module, which is configured to acquire a preset navigation route of the vehicle from a starting position to a preset destination if the vehicle cannot travel to the preset destination by relying on the carried energy;
[0041] A theoretical position acquisition module, configured to acquire a theoretical position of the vehicle when a preset energy is remaining according to the preset navigation route;
[0042] A charging request module is configured to obtain a target charging device within a preset range of the theoretical position according to the theoretical position, send a charging reservation request to the target charging device, and plan a target navigation route for the vehicle from the starting position to the target charging device;
[0043] The repeated charging module is configured to take the location of the target charging device as a new starting location, repeat the above steps, and sequentially obtain multiple target charging devices until the vehicle travels to a preset destination by carrying energy.
[0044] In a third aspect, the present application provides a computer device, comprising a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the above method.
[0045] In a fourth aspect, the present application provides a computer storage medium, wherein a computer program is stored on the computer-readable storage medium, and a processor executes the computer program to implement the method according to any one of claims 1-7.
[0046] Beneficial effects that this application can achieve:
[0047] The embodiments of the present application propose a new energy vehicle charging management method, system, device and medium, which determine in advance whether the energy carried by the vehicle can support its travel to the preset destination, and plan the charging route in time when it cannot support it, thereby ensuring that the vehicle will not break down due to energy exhaustion during driving; by obtaining a preset navigation route from the vehicle's starting position to the preset destination, it can select a target charging device within the preset range of the theoretical position, avoiding blindly searching for a charging station and wasting time and energy; ensuring that the vehicle can start charging immediately when it arrives at the charging station without waiting for an idle charging pile, thereby effectively reducing the charging waiting time and improving the charging efficiency, and through intelligent charging planning and navigation, the driver does not need to manually find and plan the charging route, which greatly reduces the driving burden and improves the user's driving experience and satisfaction. BRIEF DESCRIPTION OF THE DRAWINGS
[0048] Figure 1 This is a flow chart of the new energy vehicle charging management method according to an embodiment of the present application.
[0049] The realization of the purpose, functional features and advantages of this application will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION
[0050] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.
[0051] It should be noted that all directional indications in the embodiments of the present invention (such as up, down, left, right, front, back, etc.) are only used to explain the relative position relationship, movement status, etc. between the components under a certain specific posture (as shown in the accompanying drawings). If the specific posture changes, the directional indication will also change accordingly.
[0052] In the present invention, unless otherwise clearly specified and limited, the terms "connection", "fixation", etc. should be understood in a broad sense. For example, "fixation" can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium, it can be the internal connection of two elements or the interaction relationship between two elements, unless otherwise clearly defined. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.
[0053] In addition, if there are descriptions involving "first", "second", etc. in the embodiments of the present invention, the descriptions of "first", "second", etc. are only used for descriptive purposes and cannot be understood as indicating or implying their relative importance or implicitly indicating the number of technical features indicated. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features. In addition, the meaning of "and / or" appearing in the full text includes three parallel schemes. Taking "A and / or B" as an example, it includes scheme A, or scheme B, or a scheme that satisfies both A and B. In addition, the technical solutions between the various embodiments can be combined with each other, but it must be based on the ability of ordinary technicians in the field to implement. When the combination of technical solutions is contradictory or cannot be implemented, it should be deemed that such a combination of technical solutions does not exist and is not within the scope of protection required by the present invention.
[0054] Example 1
[0055] Reference Figure 1 The first embodiment of the present application provides a new energy vehicle charging management method, including the following steps:
[0056] S10. According to the starting position of the vehicle and the preset destination, it is determined whether the vehicle can travel to the preset destination by relying on the energy it carries.
[0057] Specifically, the vehicle's starting location, preset destination, and current energy level, such as battery power, are obtained. Based on the vehicle's energy consumption model, it is calculated whether the vehicle can support driving to the preset destination with the current energy level. If the energy level is sufficient, the vehicle is directly navigated to the destination; if not, the vehicle proceeds to the next step.
[0058] S20: If the vehicle cannot travel to the preset destination by relying on the energy it carries, a preset navigation route of the vehicle from the starting position to the preset destination is obtained.
[0059] Specifically, when the vehicle energy is insufficient to support the destination, the navigation system is used to obtain multiple possible routes from the starting location to the preset destination. According to factors such as road conditions, distance, time, etc., an optimal or suboptimal preset navigation route is selected.
[0060] S30. According to the preset navigation route, the theoretical position of the vehicle when the remaining preset energy is reached is obtained.
[0061] Specifically, based on the vehicle's energy consumption model and the preset navigation route, the theoretical position that the vehicle can reach when the remaining preset energy, such as the remaining power, reaches a certain threshold, is calculated. This theoretical position is the key node where the vehicle needs to find a charging device.
[0062] S40. According to the theoretical position, a target charging device within a preset range of the theoretical position is acquired, a charging reservation request is sent to the target charging device, and a target navigation route of the vehicle from the starting position to the target charging device is planned.
[0063] Specifically, search for available charging equipment near the theoretical location, taking into account factors such as the type, power, and current idle state of the charging equipment. Select the most suitable charging equipment as the target charging equipment and send a reservation charging request to it to ensure that the vehicle can be charged immediately when it arrives. Plan the optimal navigation route from the current location of the vehicle to the target charging equipment.
[0064] S50, taking the location of the target charging device as a new starting location, repeating the above steps, and sequentially acquiring multiple target charging devices until the vehicle travels to a preset destination by carrying energy.
[0065] Specifically, after the vehicle reaches the target charging device and charges, the starting position of the vehicle is updated to the position of the current charging device. Steps S10 to S40 are repeated until the vehicle can travel to the preset destination relying on the energy it carries. Throughout the process, the plan is constantly adjusted according to the actual energy consumption of the vehicle and the road conditions to ensure that the vehicle can reach the destination smoothly.
[0066] In this embodiment, through accurate energy assessment and charging equipment selection, the time and distance for vehicles to find charging equipment are reduced, and the charging efficiency is improved. It provides drivers with clear charging planning and navigation, reducing the anxiety caused by concerns about insufficient vehicle range. Automated charging management and navigation services eliminate the need for drivers to manually plan charging routes and make reservations for charging equipment, improving driving experience and satisfaction. It solves the charging problem of new energy vehicles during long-distance driving, enhances consumers' confidence and acceptance of new energy vehicles, and helps promote the popularization and development of new energy vehicles.
[0067] Example 2
[0068] Based on Example 1, this example provides a new energy vehicle charging management method, including the following steps:
[0069] S10. According to the starting position of the vehicle and the preset destination, it is determined whether the vehicle can travel to the preset destination by relying on the energy it carries.
[0070] S20: If the vehicle cannot travel to the preset destination by relying on the energy it carries, a preset navigation route of the vehicle from the starting position to the preset destination is obtained.
[0071] S30. According to the preset navigation route, the theoretical position of the vehicle when the remaining preset energy is reached is obtained.
[0072] S40. According to the theoretical position, a target charging device within a preset range of the theoretical position is acquired, a charging reservation request is sent to the target charging device, and a target navigation route of the vehicle from the starting position to the target charging device is planned.
[0073] Optionally, the step of acquiring a target charging device within a preset range of the theoretical position according to the theoretical position, sending a charging reservation request to the target charging device, and planning a target navigation route for the vehicle from the starting position to the target charging device includes:
[0074] S401. According to the theoretical position, obtain at least one candidate charging device within a preset range of the theoretical position.
[0075] Specifically, with the theoretical location as the center, a reasonable search radius is set as the preset range, such as a radius of 1 km, 2 km, 5 km, etc. Within this preset range, all available alternative charging devices are obtained through the charging device database, real-time charging station information API or vehicle networking platform. Considering factors such as the type of charging device (fast charging / slow charging), power, brand compatibility, etc., the qualified alternative charging devices are preliminarily screened.
[0076] S402: Obtain a first distance score according to a first distance from the vehicle to each candidate charging device from the starting position.
[0077] Specifically, a map service or navigation algorithm is used to calculate the actual distance from the starting position of the vehicle to each candidate charging device, that is, the first distance. A first distance score is assigned to each candidate charging device according to the distance, and the closer the distance, the higher the score.
[0078] S403: Obtain a second distance score according to a second distance from each candidate charging device to a preset destination.
[0079] Specifically, the distance from each candidate charging device to the preset destination, i.e., the second distance, is calculated using the same map service or navigation algorithm. A second distance score is assigned to each candidate charging device, and the closer the distance, the higher the score, so that the destination can be reached faster after charging.
[0080] S404: Estimate a time interval for the vehicle to reach the alternative charging device based on the first distance.
[0081] Specifically, the time interval for the vehicle to reach each candidate charging device from the starting location is estimated, taking into account factors such as road conditions, speed limits, and traffic lights. This time interval can be used to subsequently predict the idle state of the charging device.
[0082] S405: predict the probability that the candidate charging device is in an idle state according to the time interval, and obtain an idle score.
[0083] Specifically, the historical charging data, real-time charging station status information, and estimated arrival time intervals are analyzed to predict the probability that each candidate charging device will be idle when the vehicle arrives. Based on the prediction results, an idle score is assigned to each candidate charging device, and the higher the idle probability, the higher the score.
[0084] Specifically, optionally, the step of predicting the probability that the candidate charging device is in an idle state according to the time interval to obtain an idle score includes:
[0085] S4051. According to the time interval, obtain online reservation information of the candidate charging equipment within the time interval and a preset time period before the time interval.
[0086] Specifically, for each candidate charging device, based on the estimated vehicle arrival time interval, query the online reservation information within the time interval and the preset time period before the time interval, such as 30 minutes or 1 hour before the time interval. The online reservation information may include the reserved charging time period, the number of reserved vehicles, and the type of reserved vehicles, such as fast charging / slow charging.
[0087] S4052: Obtain on-site queuing information of the alternative charging device and other alternative charging devices in the same area that are associated with the alternative charging device.
[0088] Specifically, the on-site queueing situation of the alternative charging equipment and other alternative charging equipment associated with it in the same area is obtained in real time. The on-site queueing information may include the number of vehicles currently in the queue, the estimated charging time of the vehicles in the queue, whether there is an emergency charging demand, etc. This information can be obtained through the camera, sensor or vehicle networking platform at the charging station.
[0089] By comprehensively considering online reservations, on-site queues and historical queue information, the idle status of alternative charging equipment within a specific time period can be more accurately predicted, thereby improving the accuracy and reliability of the prediction.
[0090] S4053: Obtain historical queuing information for the time interval.
[0091] Specifically, the historical queue data of the candidate charging equipment in similar time periods in the past, such as the same week and the same time period, are analyzed. The historical queue information can help predict the busyness of the charging station in a specific time period.
[0092] S4054: Evaluate the probability that the candidate charging device is idle during the time interval based on the online reservation information, the on-site queuing information and the historical queuing information.
[0093] Specifically, the probability that the candidate charging equipment is idle within the estimated arrival time interval is evaluated by combining online reservation information, on-site queue information, and historical queue information, using statistical models, machine learning algorithms, or expert systems. Factors to be considered may include: the charging time distribution of reserved vehicles, the estimated charging time of vehicles in the on-site queue, and the trend of historical queue data. Based on the evaluation results, an idle score is assigned to each candidate charging equipment. The higher the idle probability, the higher the score.
[0094] Accurate idle state prediction helps select charging stations with a higher probability of idleness for reservation and navigation, thereby reducing the waiting time after the vehicle arrives at the charging station and improving charging efficiency. By predicting the idle state of charging stations, charging resources can be allocated more effectively, avoiding overload or idle charging stations, and improving the resource utilization of the overall charging network. Reducing waiting time and improving charging efficiency directly improves the user's driving experience and satisfaction, and enhances the user's confidence in the new energy vehicle charging service. Idle state prediction and score evaluation provide strong data support for the charging management system, which helps to achieve smarter and more efficient charging decisions and planning.
[0095] S406: Obtain a device score according to the attributes of the candidate charging device.
[0096] Specifically, a device score is assigned to each device by comprehensively considering factors such as charging power, charging interface type, user evaluation, brand reputation, etc. The device score reflects the quality of the charging device and the user experience.
[0097] Optionally, the step of obtaining a device score according to the attributes of the candidate charging device includes:
[0098] S4061. Obtain a charging type of the candidate charging device according to the attribute of the candidate charging device.
[0099] Specifically, query the attribute information of the candidate charging device to determine the charging type it supports, such as fast charging, slow charging, etc., and the corresponding charging power. Fast charging is usually suitable for situations where power replenishment is urgently needed, while slow charging is more suitable for long-term charging. The charging power directly affects the charging speed.
[0100] S4062: Obtain a failure probability of the candidate charging device according to the historical maintenance record of the candidate charging device.
[0101] Specifically, analyze the historical maintenance records of the candidate charging equipment, including maintenance frequency, maintenance reasons, maintenance time, etc. Based on the historical maintenance data, evaluate the failure probability of the candidate charging equipment. The lower the failure probability, the more reliable the equipment.
[0102] S4063: Obtain a safety index of the candidate charging device according to the real-time monitoring information of the candidate charging device.
[0103] Specifically, the operating status of the alternative charging equipment is monitored in real time, including key parameters such as voltage, current, and temperature. The environment of the charging equipment, the brightness of the light, and whether there are suspicious people wandering nearby are also monitored. Based on the monitoring data, the safety index of the alternative charging equipment is evaluated. The higher the safety index, the safer the equipment is during operation.
[0104] S4064. Obtain a device score according to the charging type, failure probability, and safety index.
[0105] Specifically, the equipment score of the alternative charging equipment is calculated by combining the charging type, failure probability and safety index, using weighted average or other appropriate algorithms. The charging type can be weighted according to the needs and preferences of the vehicle; the failure probability and safety index directly reflect the reliability and safety of the equipment, and have an important impact on the equipment score.
[0106] By considering the charging type, you can select charging equipment that matches the vehicle's charging needs, thereby improving charging efficiency. The evaluation of the probability of failure helps to select charging equipment with a lower failure rate, reducing charging interruptions or delays caused by equipment failure. Consideration of the safety index ensures that the selected charging equipment has a high level of safety during operation, reducing equipment safety and personal safety risks during the charging process.
[0107] S407: Evaluate charging scores of candidate charging devices according to the first distance score, the second distance score, the idle score, and the device score, and mark candidate charging devices with charging scores greater than a preset threshold as target charging devices.
[0108] Specifically, the charging score of each candidate charging device is evaluated using a weighted average or other suitable algorithm based on the first distance score, the second distance score, the idle score, and the device score. A preset threshold is set, and the candidate charging device with a charging score greater than the preset threshold is marked as a target charging device. If there are multiple target charging devices, they can be sorted according to the charging score, and the best one or more can be selected as the final target.
[0109] Optionally, the step of evaluating the charging scores of candidate charging devices according to the first distance score, the second distance score, the idle score and the device score, and marking the candidate charging devices with charging scores greater than a preset threshold as target charging devices, further includes:
[0110] S4071. Sort all target charging devices according to their charging scores from high to low to obtain a first sorting result.
[0111] Specifically, after calculating the charging scores of all candidate charging devices, these devices are sorted from high to low according to the charging scores. The charging score comprehensively considers the first distance score, the second distance score, the idle score and the device score, so the sorting result can fully reflect the advantages and disadvantages of the candidate charging devices.
[0112] S4072: Push the preset proportion of target charging devices in sequence according to the first sorting result to the user for confirmation.
[0113] Specifically, according to the sorting results, a preset proportion (such as the top three, top five or top 10%) of target charging devices are selected. These selected target charging devices and their related information, such as location, charging type, estimated arrival time, idle status, etc., are pushed to the user for confirmation. The user can choose the most suitable charging station from the pushed target charging devices according to their needs and preferences.
[0114] Optionally, the step of acquiring a target charging device within a preset range of the theoretical position according to the theoretical position, sending a charging reservation request to the target charging device, and planning a target navigation route for the vehicle from the starting position to the target charging device includes:
[0115] S411. Acquire a target navigation route of the vehicle from an initial position to the target charging device according to the position information of the target charging device.
[0116] Specifically, based on the location information of the target charging device, such as longitude and latitude coordinates, a navigation algorithm or map service is used to calculate the optimal or recommended navigation route for the vehicle from an initial location, such as a current parking location or a user-specified starting point, to the target charging device.
[0117] S412. According to the target navigation route, obtain whether there is a priority charging device on the target navigation route.
[0118] Optionally, the step of obtaining, according to the target navigation route, whether there is a priority charging device on the target navigation route includes:
[0119] S4121. The remaining energy of the vehicle when it reaches the location of the priority charging device is less than the target threshold, and the energy of the vehicle after charging is sufficient for the vehicle to travel from the location of the priority charging device to a preset destination or the next target charging device.
[0120] Specifically, based on the current energy status of the vehicle, such as the amount of electricity and fuel, and the energy consumed to reach the current location, the estimated remaining energy when the vehicle continues to travel to the location of the priority charging device is calculated. A target threshold is set, which indicates that the vehicle has less remaining energy when it travels to the priority charging device. If the remaining energy is higher than the target threshold, it means that the priority charging device is not needed at this time, and the energy replenished by using the priority charging device is small. If the remaining energy is less than the target threshold, it means that the vehicle needs to be charged to avoid energy depletion, and priority should be given to going to the priority charging device.
[0121] Assuming that the vehicle is charging at the preferred charging device, the expected amount of energy of the vehicle after charging is calculated based on the charging speed of the charging device and the charging demand of the vehicle. Determine whether the energy after charging is sufficient for the vehicle to travel from the location of the preferred charging device to the preset destination or the next target charging device at a normal or expected speed. If sufficient, the condition is met and the preferred charging device is deemed to exist and be feasible.
[0122] S413: If there is a priority charging device, send a first reservation charging request to the target charging device, and plan a target navigation route for the vehicle from the starting position to the target charging device.
[0123] Specifically, if there is a priority charging device on the target navigation route, a first reservation charging request is first sent to the target charging device. After receiving a response from the priority charging device, such as accepting or rejecting the reservation, a final navigation route for the vehicle from the starting position to the target charging device or the alternative charging device is planned according to the response result.
[0124] S414: If there is no priority charging device, send a second reservation charging request to the priority charging device, and plan a target navigation route for the vehicle from the starting position to the priority charging device.
[0125] Specifically, if there is no priority charging device on the target navigation route, then the second reservation charging request is directly sent to the initially selected target charging device. After receiving a response from the target charging device, the final navigation route of the vehicle from the starting position to the target charging device is planned.
[0126] By setting priority charging devices and sending reservation charging requests, charging resources can be used more effectively, waiting time can be reduced, and charging efficiency can be improved. Combining navigation routes and information about priority charging devices can provide users with more optimized and personalized charging route planning. Users do not need to search and compare charging station information on their own. The system can automatically recommend suitable charging stations and routes based on user preferences and actual conditions. By setting priority charging devices and the reservation mechanism, the utilization rate of different charging stations can be balanced to avoid overloading some charging stations while others are idle.
[0127] S50, taking the location of the target charging device as a new starting location, repeating the above steps, and sequentially acquiring multiple target charging devices until the vehicle travels to a preset destination by carrying energy.
[0128] Example 3
[0129] Based on Example 1, this embodiment provides a new energy vehicle charging management system, which is characterized by comprising:
[0130] A determination module, configured to determine whether the vehicle can travel to the preset destination by relying on the energy it carries, based on the vehicle's starting position and the preset destination;
[0131] A preset navigation route acquisition module, which is configured to acquire a preset navigation route of the vehicle from a starting position to a preset destination if the vehicle cannot travel to the preset destination by relying on the carried energy;
[0132] A theoretical position acquisition module, configured to acquire a theoretical position of the vehicle when a preset energy is remaining according to the preset navigation route;
[0133] A charging request module is configured to obtain a target charging device within a preset range of the theoretical position according to the theoretical position, send a charging reservation request to the target charging device, and plan a target navigation route for the vehicle from the starting position to the target charging device;
[0134] The repeated charging module is configured to take the location of the target charging device as a new starting location, repeat the above steps, and sequentially obtain multiple target charging devices until the vehicle travels to a preset destination by carrying energy.
[0135] Example 4
[0136] Based on the same inventive concept as the above-mentioned embodiment, this embodiment provides a computer device, which includes a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the above-mentioned method.
[0137] Example 5
[0138] Based on the same inventive concept as the aforementioned embodiment, this embodiment provides a computer-readable storage medium, on which a computer program is stored, and a processor executes the computer program to implement the aforementioned method.
[0139] The above are only preferred embodiments of the present application, and are not intended to limit the patent scope of the present application. Any equivalent structure or equivalent process transformation made using the contents of the present application specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present application.
Claims
1. A new energy vehicle charging management method, characterized in that: include: According to the starting position and the preset destination of the vehicle, determining whether the vehicle can support driving to the preset destination by relying on the energy it carries; If not, obtaining a preset navigation route for the vehicle from the starting location to the preset destination; According to the preset navigation route, obtaining a theoretical position of the vehicle when the vehicle has a preset remaining energy; According to the theoretical position, a target charging device within a preset range of the theoretical position is obtained, a charging reservation request is sent to the target charging device, and a target navigation route of the vehicle from the starting position to the target charging device is planned; The location of the target charging device is used as a new starting location, and the above steps are repeated to sequentially acquire multiple target charging devices until the vehicle travels to a preset destination by carrying energy.
2. The new energy vehicle charging management method according to claim 1, characterized in that: The step of acquiring a target charging device within a preset range of the theoretical position according to the theoretical position, sending a charging reservation request to the target charging device, and planning a target navigation route for the vehicle from the starting position to the target charging device includes: According to the theoretical position, obtaining at least one candidate charging device within a preset range of the theoretical position; Obtaining a first distance score according to a first distance from the vehicle to each candidate charging device from the starting position; Obtaining a second distance score according to a second distance from each candidate charging device to a preset destination; estimating a time interval for the vehicle to reach the alternative charging device based on the first distance; According to the time interval, predict the probability that the candidate charging device is in an idle state, and obtain an idle score; Obtaining a device score according to the attributes of the candidate charging device; The charging scores of the candidate charging devices are evaluated according to the first distance score, the second distance score, the idle score and the device score, and the candidate charging devices with charging scores greater than a preset threshold are marked as target charging devices.
3. The new energy vehicle charging management method according to claim 2, characterized in that: The step of predicting the probability that the candidate charging device is in an idle state according to the time interval and obtaining an idle score includes: According to the time interval, obtaining online reservation information of the candidate charging equipment within the time interval and a preset time period before the time interval; Obtaining on-site queuing information of an alternative charging device and other alternative charging devices in the same area associated with the alternative charging device; Obtain historical queue information for the time interval; According to the online reservation information, the on-site queuing information and the historical queuing information, the probability that the candidate charging equipment is in an idle state in the time interval is evaluated.
4. The new energy vehicle charging management method according to claim 2, characterized in that: The step of obtaining a device score according to the attributes of the candidate charging device comprises: According to the attribute of the candidate charging device, obtaining the charging type of the candidate charging device; Obtaining a failure probability of the alternative charging device according to a historical maintenance record of the alternative charging device; Acquire a safety index of the candidate charging device according to the real-time monitoring information of the candidate charging device; A device score is obtained based on the charging type, failure probability, and safety index.
5. The new energy vehicle charging management method according to claim 2, characterized in that: The step of evaluating the charging scores of the candidate charging devices according to the first distance score, the second distance score, the idle score and the device score, and marking the candidate charging devices with charging scores greater than a preset threshold as target charging devices, further includes: Sort all target charging devices according to their charging scores from high to low to obtain a first sorting result; The preset proportion of target charging devices is pushed to the user in sequence according to the first sorting result for confirmation.
6. The new energy vehicle charging management method according to claim 1, characterized in that: The step of acquiring a target charging device within a preset range of the theoretical position according to the theoretical position, sending a charging reservation request to the target charging device, and planning a target navigation route for the vehicle from the starting position to the target charging device includes: According to the location information of the target charging device, obtaining a target navigation route of the vehicle from an initial location to the target charging device; According to the target navigation route, obtaining whether there is a priority charging device on the target navigation route; If not, sending a first reservation charging request to the target charging device, and planning a target navigation route for the vehicle from the starting position to the target charging device; If so, a second reserved charging request is sent to the priority charging device, and a target navigation route for the vehicle from the starting position to the priority charging device is planned.
7. The new energy vehicle charging management method according to claim 6, characterized in that: The step of obtaining, according to the target navigation route, whether there is a priority charging device on the target navigation route comprises: The remaining energy of the vehicle when it reaches the location of the priority charging device is less than the target threshold, and the energy of the vehicle after charging is sufficient for the vehicle to travel from the location of the priority charging device to a preset destination or the next target charging device.
8. A new energy vehicle charging management system, characterized in that: include: A determination module, configured to determine whether the vehicle can travel to the preset destination by relying on the energy it carries, based on the vehicle's starting position and the preset destination; A preset navigation route acquisition module, which is configured to acquire a preset navigation route of the vehicle from a starting position to a preset destination if the vehicle cannot travel to the preset destination by relying on the carried energy; A theoretical position acquisition module, configured to acquire a theoretical position of the vehicle when a preset energy is remaining according to the preset navigation route; A charging request module is configured to obtain a target charging device within a preset range of the theoretical position according to the theoretical position, send a charging reservation request to the target charging device, and plan a target navigation route for the vehicle from the starting position to the target charging device; The repeated charging module is configured to take the location of the target charging device as a new starting location, repeat the above steps, and sequentially obtain multiple target charging devices until the vehicle travels to a preset destination by carrying energy.
9. A computer device, characterized in that: The computer device comprises a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the method according to any one of claims 1 to 7.
10. A computer storage medium, characterized in that: The computer-readable storage medium stores a computer program, and the processor executes the computer program to implement the method according to any one of claims 1 to 7.