Method and device for planning vehicle energy complementing route

Abstract

The embodiment of the invention relates to the technical field of electric vehicles, and discloses a planning method and device for a vehicle energy complementing route, and the method comprises the steps: calculating a first mileage required by a vehicle to reach a destination and a second mileage that the vehicle can run when a triggering condition of energy complementing route planning is satisfied; if the first mileage is greater than the second mileage, determining a first energy supplement mode of the vehicle according to first energy data of the vehicle; and generating a first energy complementing route according to the first energy complementing mode, the vehicle data, the road information and the user preference data. By applying the technical scheme of the invention, the energy complementing mode better meeting the requirements of the user can be recommended for the dual-energy vehicle type user, and the corresponding energy complementing route is generated, so that the planning flexibility of the energy complementing route is improved, and the planned energy complementing route better meets the requirements of the user.

Description

Technical Field

[0001] Embodiments of the present invention relate to the technical field of electric vehicles, and in particular to a method, device, equipment and computer-readable storage medium for planning a vehicle energy replenishment route. Background Art

[0002] Currently, REEV (Range Extended Electric Vehicle) extended-range electric vehicles have two energy options: charging and refueling, and generally have a longer range. But at the same time, the refueling scenarios and strategies of REEV vehicles on the driving route are relatively complex. Especially on long-distance driving routes, you can choose charging stations or refueling stations at different distances, and also consider the driver's free time for daily tasks such as eating or resting on the driving route.

[0003] The existing energy replenishment route planning methods cannot provide users with travel energy replenishment selection functions. When traveling long distances, users need to make their own decisions on whether to charge or refuel. In addition, different users have different preferences for long-distance travel energy replenishment. Some users prefer the energy replenishment method with the best overall cost-effectiveness, some users prefer the energy replenishment method with the shortest time, and some users prefer the energy replenishment method that can be carried out while dining and charging at the same time. Therefore, the existing energy replenishment route planning methods cannot plan energy replenishment routes in combination with user preferences and schedule task time. The planning flexibility of energy replenishment routes is poor, and the planned energy replenishment routes cannot meet the travel needs of users. Summary of the invention

[0004] In view of the above problems, the embodiments of the present invention provide a vehicle energy replenishment route planning method, device, equipment and computer-readable storage medium, which are used to solve the problems existing in the prior art that the vehicle energy replenishment route cannot be provided with a travel energy replenishment selection function for users, the flexibility of planning energy replenishment routes is poor, and the planned energy replenishment routes cannot meet the travel needs of users.

[0005] According to one aspect of an embodiment of the present invention, a method for planning a vehicle energy replenishment route is provided, the method comprising:

[0006] When a trigger condition for energy replenishment route planning is met, calculating a first mileage required for the vehicle to reach a destination and a second mileage that the vehicle can travel;

[0007] If the first mileage is greater than the second mileage, determining a first energy replenishment method for the vehicle according to the first energy data of the vehicle;

[0008] A first energy replenishment route is generated according to the first energy replenishment method, vehicle data, road information and user preference data.

[0009] Specifically, unlike the prior art which cannot provide users with the function of selecting travel energy replenishment, the intelligent power replenishment planning and decision-making mechanism of the dual-energy vehicle of the present invention combines the current driving route and the energy data of the vehicle to determine the optimal power replenishment method of the dual-energy vehicle, and can recommend a power replenishment method that better meets the needs of the dual-energy vehicle users, thereby improving the planning ability of the vehicle power replenishment route. At the same time, the present invention flexibly adjusts the vehicle power replenishment route in combination with the user preference data, thereby improving the flexibility of the power replenishment route planning, so that the planned power replenishment route is more in line with the needs of the user.

[0010] In an optional manner, determining a first energy replenishment mode of the vehicle according to the first energy data of the vehicle includes:

[0011] Determining information of a plurality of energy replenishment sites that the vehicle can reach based on the first energy data of the vehicle;

[0012] A first energy replenishment mode for the vehicle is determined according to information of the plurality of energy replenishment sites.

[0013] Specifically, the present invention takes into account the information of the energy replenishment stations that the vehicle can reach based on the vehicle's energy data, makes a decision on whether the vehicle needs to refuel or charge based on the information of the energy replenishment stations, determines the optimal energy replenishment method for dual-energy vehicles, and can recommend energy replenishment methods that better meet user needs to users of dual-energy vehicles, thereby improving the vehicle's energy replenishment route planning capabilities.

[0014] In an optional manner, before determining the first energy replenishment mode of the vehicle according to the information of the plurality of energy replenishment sites, the method further includes:

[0015] Determining whether there is a preset preference in the user preference data;

[0016] If there is a preset preference in the user preference data, determining a first energy replenishment method for the vehicle according to the preset preference;

[0017] If there is no preset preference in the user preference data, a first energy replenishment method for the vehicle is determined according to information of a plurality of energy replenishment sites.

[0018] Specifically, in the process of determining the first energy replenishment method, the present invention prioritizes determining the vehicle's energy replenishment method based on the preset preferences set by the user when the user has set a preset preference, and can recommend an energy replenishment method that better meets the user's needs to users of dual-energy vehicles, thereby improving the vehicle's energy replenishment route planning capabilities.

[0019] In an optional manner, determining the first energy replenishment mode of the vehicle according to information of the plurality of energy replenishment sites includes:

[0020] According to the first energy data and the location information of the vehicle, at least one refueling station and at least one charging station are selected from the plurality of energy replenishment stations;

[0021] The optimal energy replenishment mode of the vehicle is determined according to the distance information and energy replenishment information of the gas station and the distance information and energy replenishment information of the charging station, and the optimal energy replenishment mode is used as the first energy replenishment mode of the vehicle.

[0022] Furthermore, the present invention determines an optimal charging method among the two charging methods of refueling and charging according to the distance information and charging information of each gas station and the distance information and charging information of each charging station in the information of the charging stations that the vehicle can reach, and can recommend an energy charging method that is more in line with the user's preferences or actual needs to the users of dual-energy vehicles, thereby improving the vehicle's charging route planning capability.

[0023] In an optional manner, calculating a first mileage required for the vehicle to reach a destination and a second mileage that the vehicle can travel includes:

[0024] Taking the current position of the vehicle as a starting point and according to the current driving route, the first mileage is calculated; and the second mileage is calculated according to the current electric energy and fuel energy of the vehicle;

[0025] Alternatively, taking the position of the charging station corresponding to the current charging route of the vehicle as the starting point, the first mileage is calculated according to the current driving route; based on the current charging route of the vehicle, predicted energy data of the vehicle after charging at the charging station corresponding to the current charging route is predicted; and the second mileage is calculated based on the predicted energy data.

[0026] Specifically, the present invention compares the mileage required to reach the destination along the current driving route at the current location with the mileage provided by the vehicle's current electric energy and fuel energy, and promptly determines whether the vehicle's current electric energy and fuel energy can support the vehicle to travel to the destination, and then determines whether the vehicle needs to be recharged during the current driving route, thereby improving the vehicle's recharge route planning capability.

[0027] Different from the prior art which can only plan the next recharging route after recharging, the present invention determines the optimal recharging method and planned route of the next recharging route according to the driving route after recharging and the energy data after recharging, and can calculate all recharging routes and recharging methods in a long-distance driving route at one time, so that the planned recharging route better meets the needs of users.

[0028] Among them, the present invention timely determines whether the electric energy and fuel energy after the vehicle is recharged can support the vehicle to travel to the destination in the remaining driving route by comparing the mileage required to reach the destination along the remaining driving route at the location after recharging, and the preset recharging data, that is, the mileage provided by the energy after the vehicle is recharged, and then determines whether the vehicle needs to be recharged in the remaining driving route, until the vehicle can support the vehicle to travel to the destination in the remaining driving route after the last recharging. The present invention determines the nodes that need to be recharged in the long-distance driving route in this way, and then plans all the recharging routes and recharging methods in the long-distance driving route in turn, improving the flexibility of recharging route planning.

[0029] In an optional manner, before determining the first energy replenishment mode of the vehicle according to the first energy data of the vehicle, the method further includes:

[0030] Determine whether there is a preset schedule task in the schedule information data;

[0031] When there is a preset schedule task in the schedule information data, the second energy replenishment mode of the vehicle is determined based on the charging station information of the location of the preset schedule task;

[0032] A second energy replenishment route is generated according to the second energy replenishment method, vehicle data, road information and user preference data.

[0033] Specifically, before determining the first energy replenishment method, the present invention preferentially determines the vehicle's energy replenishment method based on the schedule information data set by the user, and can recommend an energy replenishment method that better meets the user's needs to users of dual-energy vehicles, thereby improving the vehicle's energy replenishment route planning capabilities.

[0034] In an optional manner, generating a first energy replenishment route according to the first energy replenishment method, vehicle data, road information and user preference data includes:

[0035] Generate a first energy replenishment route according to the first energy replenishment method, vehicle data, road information and the user preference data in combination with a preset recommendation model;

[0036] The recommendation model is obtained by training an initial recommendation model based on user feedback data and execution feedback data; the initial recommendation model is integrated from several learning models.

[0037] Specifically, the present invention utilizes a recommendation model to calculate a recharging route. Meanwhile, the recommendation module utilizes user feedback data and execution feedback data to perform reinforcement learning iterations, wherein the execution feedback data is the user's actual travel data, which continuously optimizes the recommendation mechanism of the recommendation model and improves the planning accuracy of the vehicle recharging route.

[0038] In an optional manner, the triggering condition for satisfying the energy replenishment route planning includes:

[0039] When receiving a charging route planning instruction issued by a user, determining whether a triggering condition for charging route planning is met;

[0040] Alternatively, when any one of the charging station information, schedule information data, the vehicle data, the road information and the user preference data corresponding to the current charging route of the vehicle undergoes a preset change, it is determined that the triggering condition for charging route planning is met.

[0041] Specifically, the present invention performs charging route planning when the user issues a charging route planning instruction; when any one of the charging station information, the schedule information data, the vehicle data, the road information and the user preference data undergoes a preset change, the charging route is automatically recalculated and the user is reminded, thereby realizing dynamic adjustment of the charging route, thereby improving the vehicle charging route planning capability.

[0042] In an optional manner, the manner of triggering the preset change of the energy replenishment site information includes: the user modifies the energy replenishment site corresponding to the current energy replenishment route in the preset module;

[0043] The manner of triggering the preset change of the schedule information data includes: the user modifies the schedule information data in the preset module;

[0044] The preset module is used to determine and display the task content of each schedule task in the schedule information and the charging site information on the charging route according to the schedule information and the charging route, so that the user can manage the schedule information data or the charging site information.

[0045] Specifically, the present invention supports users to manually modify schedule information data or charging station information through a preset module. If the schedule information data or charging station information is modified, it triggers a preset change in the corresponding data. The present invention will recalculate the charging route based on the changed data and remind the user to achieve dynamic adjustment of the charging route, so that the adjusted charging route is more in line with user needs, thereby improving the planning ability of the vehicle charging route.

[0046] According to another aspect of an embodiment of the present invention, there is provided a vehicle energy replenishment route planning device, comprising: a mileage calculation module, an energy replenishment mode selection module and a route planning module;

[0047] The mileage calculation module is used to calculate the first mileage required for the vehicle to reach the destination and the second mileage that the vehicle can travel when it is determined that the triggering condition of the energy replenishment route planning is met;

[0048] The energy replenishment mode selection module is used for determining a first energy replenishment mode of the vehicle according to the first energy data of the vehicle if the first mileage is greater than the second mileage;

[0049] The route planning module is used to generate a first energy replenishment route according to the first energy replenishment method, vehicle data, road information and the user preference data.

[0050] According to another aspect of an embodiment of the present invention, a vehicle energy replenishment route planning device is provided, comprising: a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface communicate with each other via the communication bus; the memory is used to store at least one executable instruction, and the executable instruction enables the processor to perform the operation of any one of the methods described above.

[0051] According to another aspect of an embodiment of the present invention, a computer-readable storage medium is provided, wherein at least one executable instruction is stored in the storage medium, and the executable instruction enables a vehicle energy replenishment route planning device / apparatus to perform the operation of a vehicle energy replenishment route planning method as described in any one of the above.

[0052] The embodiment of the present invention determines the optimal energy replenishment method for dual-energy vehicles in combination with the current driving route and the vehicle's energy data, and can recommend energy replenishment methods that better meet the user's needs for dual-energy vehicle users; flexibly adjust the vehicle's energy replenishment route in combination with user preference data, and sequentially plan all energy replenishment routes and energy replenishment methods in the entire driving route to achieve the planning of multiple energy replenishment methods and routes for long-distance routes. At the same time, when any one of the energy replenishment site information, the schedule information data, the vehicle data, the road information, and the user preference data undergoes a preset change, the embodiment of the present invention dynamically adjusts the energy replenishment method and energy replenishment route planning, thereby improving the flexibility of energy replenishment route planning, so that the planned energy replenishment route better meets the user's needs.

[0053] The above description is only an overview of the technical solution of the embodiment of the present invention. In order to more clearly understand the technical means of the embodiment of the present invention, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the embodiment of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0054] The accompanying drawings are only used to illustrate the embodiments and are not to be considered as limiting the present invention. In addition, the same reference symbols are used to represent the same components throughout the accompanying drawings. In the accompanying drawings:

[0055] Figure 1 A schematic flow chart of a first embodiment of a vehicle energy replenishment route planning method provided by the present invention is shown;

[0056] Figure 2 A schematic diagram showing a first route of the vehicle energy replenishment route planning method provided by the present invention;

[0057] Figure 3 A schematic diagram showing a second route of the vehicle energy replenishment route planning method provided by the present invention;

[0058] Figure 4 A schematic diagram of a process of generating an energy replenishment route in a vehicle energy replenishment route planning method provided by the present invention is shown;

[0059] Figure 5 A schematic diagram showing a task icon of a vehicle energy replenishment route planning method provided by the present invention;

[0060] Figure 6 A schematic diagram showing a flow chart of determining a first energy replenishment mode for a vehicle in a vehicle energy replenishment route planning method provided by the present invention;

[0061] Figure 7 A schematic diagram showing a flow chart of a recommended model training of a vehicle energy replenishment route planning method provided by the present invention;

[0062] Figure 8 The business logic block diagram of the vehicle energy replenishment route planning method provided by the present invention is shown;

[0063] Fig. 9 A schematic structural diagram of a first embodiment of a vehicle energy replenishment route planning device provided by the present invention is shown;

[0064] Fig.10 A schematic structural diagram of an embodiment of a vehicle energy replenishment route planning device provided by the present invention is shown. DETAILED DESCRIPTION

[0065] Exemplary embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present invention are shown in the drawings, it should be understood that the present invention can be implemented in various forms and should not be limited to the embodiments set forth herein.

[0066] Figure 1 The flowchart of the first embodiment of the vehicle charging route planning method of the present invention is shown, and the method is executed by the vehicle charging route planning device. Figure 1 As shown, the method comprises the following steps:

[0067] Step 110: When the triggering condition of the energy replenishment route planning is met, a first mileage required for the vehicle to reach the destination and a second mileage that the vehicle can travel are calculated.

[0068] In some embodiments of the present invention, calculating a first mileage required for the vehicle to reach a destination and a second mileage that the vehicle can travel comprises:

[0069] Taking the current position of the vehicle as a starting point and according to the current driving route, the first mileage is calculated; and the second mileage is calculated according to the current electric energy and fuel energy of the vehicle;

[0070] Alternatively, taking the position of the charging station corresponding to the current charging route of the vehicle as the starting point, the first mileage is calculated according to the current driving route; based on the current charging route of the vehicle, predicted energy data of the vehicle after charging at the charging station corresponding to the current charging route is predicted; and the second mileage is calculated based on the predicted energy data.

[0071] Specifically, predicting the predicted energy data of the vehicle after recharging at the recharging station corresponding to the current recharging route includes:

[0072] The energy data and the preset energy replenishment data when the vehicle arrives at the energy replenishment site corresponding to the current energy replenishment route are calculated to obtain the predicted energy data after the vehicle is replenished at the energy replenishment site corresponding to the current energy replenishment route.

[0073] Preferably, the preset energy replenishment data is determined based on the charging time and charging power of the vehicle at the last charging station, or based on the number of liters of fuel the vehicle consumed at the last gas station.

[0074] For details, please refer to Figure 2 When the triggering condition of the energy replenishment route planning is met, if the number of energy replenishment routes currently planned by the planning device is zero, the planning device takes the current position X of the vehicle as the starting point and calculates the first mileage required for the vehicle to reach the destination Y according to the current driving route; the planning device calculates the second mileage that the vehicle can travel using the current electric energy and fuel energy according to the current electric energy and fuel energy of the vehicle.

[0075] If the first mileage is greater than the second mileage, the planning device uses the vehicle's current electric energy and fuel energy as the first energy data to determine the vehicle's energy replenishment method; and determines the location of the energy replenishment site A based on the energy replenishment method, vehicle data, road information and user preference data, and generates a energy replenishment route from the current location X to the energy replenishment site A.

[0076] Please refer to Figure 3, when the triggering condition of the charging route planning is met, if the number of charging routes currently planned by the planning device is not zero, that is, the planning device has planned at least one charging route, then the planning device takes the location of the charging station B corresponding to the current charging route as the starting point, and calculates the first mileage required for the vehicle to reach the destination Y according to the current driving route. Among them, the charging station B corresponding to the current charging route is the last charging station in the current charging route. The planning device predicts the predicted energy data of the vehicle after the charging at the charging station B corresponding to the current charging route according to the current charging route of the vehicle; and calculates the second mileage according to the predicted energy data.

[0077] If the first mileage is greater than the second mileage, the planning device uses the predicted energy data of the vehicle after recharging at recharging station B as the first energy data to determine the vehicle's recharging method; and determines the location of the next recharging station C based on the recharging method, vehicle data, road information and user preference data, and generates a recharging route from recharging station B to recharging station C.

[0078] If the first mileage is greater than the second mileage, the next refueling route will not be planned.

[0079] For example, please refer to Figure 4 ,The planning device calculates the first mileage required to reach the destination from the current location / position after recharging, based on the current / remaining driving route, schedule information data, energy consumption, estimated vehicle speed, and other information.

[0080] The planning device calculates the second mileage that the vehicle can provide based on the current electric energy and fuel energy of the vehicle, or the second energy data after recharging; and subtracts the second mileage from the first mileage to obtain the mileage required for recharging.

[0081] If the mileage required for recharging is greater than zero, the planning device determines the first recharging method of the vehicle based on the vehicle's first energy data, schedule information data and user preference data; generates a first recharging route based on the first recharging method, vehicle data, road information and user preference data; after generating the first recharging route, the planning device calculates the second energy data after recharging based on the generated first recharging route, and returns to the calculation process of the first mileage.

[0082] If the mileage required for refueling is not greater than zero, the planning device ends the process.

[0083] Specifically, different from the prior art method that the next recharging route can only be planned after recharging, after generating any recharging route, the planning device of the present invention takes the location of the recharging station corresponding to the current recharging route of the vehicle as the starting point, and recalculates the first mileage according to the current driving route; the planning device predicts the energy data and preset recharging data when the vehicle arrives at the location of the recharging station corresponding to the current recharging route according to the current recharging route of the vehicle, and recalculates the second mileage to obtain the mileage required for recharging. Then, the present invention determines whether the vehicle needs to be recharged in the remaining driving route by the mileage required for recharging, until the vehicle can support the vehicle to travel to the destination in the remaining driving route after the last recharging. In this way, the present invention can determine the nodes that need to be recharged in the long-distance driving route, and then plan all the recharging routes and recharging methods in the long-distance driving route in sequence, thereby improving the flexibility of recharging route planning. The present invention does not require the user to issue multiple instructions, and can plan all the recharging routes and recharging methods for the entire long-distance driving route for the vehicle user at one time, thereby improving the planning ability of the vehicle recharging route.

[0084] In some embodiments of the present invention, the triggering condition for satisfying energy replenishment route planning includes:

[0085] When receiving a charging route planning instruction issued by a user, determining whether a triggering condition for charging route planning is met;

[0086] Alternatively, when any one of the charging station information, schedule information data, the vehicle data, the road information and the user preference data corresponding to the current charging route of the vehicle undergoes a preset change, it is determined that the triggering condition for charging route planning is met.

[0087] Exemplarily, preset changes in charging station information include but are not limited to: changes in charging stations, changes in the idleness of charging stations, or changes in the queue situation at gas stations; preset changes in vehicle data include but are not limited to: the power consumption of the entire vehicle exceeds the expected power value for a continuous preset period of time; preset changes in road information include but are not limited to: changes in the driving route due to road conditions and other factors, changes in the driving route due to manual adjustment of the route by the user, changes in the parking situation in the service area corresponding to the schedule information data, the user's previous trip ended early or the user's previous trip was delayed; methods for triggering preset changes in user preference data include: the user manually setting the preference options on the planning device.

[0088] Specifically, the planning device obtains the user input schedule tasks and corresponding time periods to obtain schedule information data. Schedule tasks include but are not limited to: meals and rest. For example, the schedule information data is: the first meal time period (eg 12:00-14:00), the first meal duration (eg 60 minutes); the first rest time period (eg 20:00-24:00), the first rest duration (eg 120 minutes).

[0089] Preferably, the planning device provides options of user preference data on the route selection panel for the user to select the user preference data. The options of user preference data include but are not limited to: "intelligent recommendation", "shortest time", "lowest cost", "most convenient", "most comfortable", "refuel only" and "charge only". The default initial option value of the user preference data is "intelligent recommendation", and the user can switch between different options on the route selection panel.

[0090] In some embodiments of the present invention, when any one of the energy replenishment station information corresponding to the current energy replenishment route of the vehicle, the schedule information data, the vehicle data, the road information and the user preference data changes by a preset manner, it includes:

[0091] The method of triggering the preset change of the energy replenishment site information includes: the user modifies the energy replenishment site corresponding to the current energy replenishment route in the preset module;

[0092] The manner of triggering the preset change of the schedule information data includes: the user modifies the schedule information data in the preset module;

[0093] The preset module is used to determine and display the task content of each schedule task in the schedule information and the charging site information on the charging route according to the schedule information and the charging route, so that the user can manage the schedule information data or the charging site information.

[0094] Specifically, the planning device obtains the recharging route based on the schedule information data and calculations, and obtains the restaurant data, hotel data, gas station data, and charging station data on the driving route that meet the schedule task and the recharging task. Preferably, the planning device provides several task icons on the user interface, please refer to Figure 3 , from left to right are charging station icons, gas station icons, restaurant icons and rest icons. After the user clicks the corresponding icon, the planning device will display the corresponding restaurant data, hotel data, gas station data or charging station data.

[0095] Preferably, the planning device generates corresponding task details cards according to the schedule tasks and the energy replenishment tasks, so that the user can manage the schedule tasks and the energy replenishment tasks on the task details cards. The user can change the meal period, meal duration, rest period, rest duration, energy replenishment method or energy replenishment site by deleting tasks, adding tasks or modifying tasks.

[0096] Specifically, the user changes the schedule information data or charging station information in the task details card, triggering a preset change in the corresponding data. The planning device will recalculate the charging route based on the changed data and remind the user, thereby realizing dynamic adjustment of the charging route, making the adjusted charging route more in line with user needs, thereby improving the vehicle charging route planning capabilities.

[0097] Step 120: If the first mileage is greater than the second mileage, determining a first energy replenishment method for the vehicle according to the first energy data of the vehicle.

[0098] In some embodiments of the present invention, determining a first energy replenishment method of the vehicle according to the first energy data of the vehicle includes:

[0099] Determining information of a plurality of energy replenishment sites that the vehicle can reach based on the first energy data of the vehicle;

[0100] A first energy replenishment mode for the vehicle is determined according to information of the plurality of energy replenishment sites.

[0101] In some embodiments of the present invention, before determining the first energy replenishment mode of the vehicle according to the information of the plurality of energy replenishment sites, the method further includes:

[0102] Determining whether there is a preset preference in the user preference data;

[0103] If there is a preset preference in the user preference data, determining a first energy replenishment method for the vehicle according to the preset preference;

[0104] If there is no preset preference in the user preference data, a first energy replenishment method for the vehicle is determined according to information of a plurality of energy replenishment sites.

[0105] Exemplarily, when the planning device determines that there is a charging site among several charging sites that the vehicle can reach, and the option of the user preference data selected by the user is "charging only" or "lowest cost", the planning device determines that the first charging method of the vehicle is charging.

[0106] In some embodiments of the present invention, determining the first energy replenishment mode of the vehicle according to information of the plurality of energy replenishment sites includes:

[0107] According to the first energy data and the location information of the vehicle, at least one refueling station and at least one charging station are selected from the plurality of energy replenishment stations;

[0108] The optimal energy replenishment mode of the vehicle is determined according to the distance information and energy replenishment information of the gas station and the distance information and energy replenishment information of the charging station, and the optimal energy replenishment mode is used as the first energy replenishment mode of the vehicle.

[0109] Specifically, the planning device determines the optimal energy replenishment method for the vehicle based on the distance information, refueling time and refueling cost of the gas station, and the distance information, charging time and charging cost of the charging station, and uses the optimal energy replenishment method as the first energy replenishment method for the vehicle.

[0110] Further, if among the several energy replenishment stations there are only gas stations but no charging stations, the planning device determines that the first energy replenishment method of the vehicle is refueling; if among the several energy replenishment stations there are only charging stations but no gas stations, the planning device determines that the first energy replenishment method of the vehicle is charging.

[0111] In some embodiments of the present invention, before determining the first energy replenishment method of the vehicle according to the first energy data of the vehicle, the method further includes:

[0112] Determine whether there is a preset schedule task in the schedule information data;

[0113] When there is a preset schedule task in the schedule information data, the second energy replenishment mode of the vehicle is determined based on the charging station information of the location of the preset schedule task;

[0114] A second energy replenishment route is generated according to the second energy replenishment method, vehicle data, road information and user preference data.

[0115] Exemplarily, the preset schedule task is a schedule task for dining or resting. When a schedule task for dining or resting exists in the schedule information data, assuming that the dining or resting location is in a service area, the planning device determines whether there is a charging station in the service area; if there is a charging station in the service area and the charging station has vacant charging piles, the planning device determines that the first energy replenishment method for the vehicle is charging.

[0116] In some embodiments of the present invention, when there is no preset schedule task in the schedule information data, the first energy replenishment method of the vehicle is determined according to the first energy data of the vehicle.

[0117] For example, please refer to Figure 6 , the planning device determines whether there is a schedule task for dining or resting in the schedule information data.

[0118] When there is a schedule task for dining or resting in the schedule information data, assuming that the dining or resting place is in a service area, the planning device determines whether there is a charging station in the service area; if there is a charging station in the service area and the charging station has vacant charging piles, the planning device determines that the first energy replenishment method of the vehicle is charging.

[0119] When there is no meal or rest schedule task in the schedule information data, the planning device estimates the SOC data of the vehicle when it arrives at each charging station.

[0120] If the SOC data of the vehicle when it arrives at the next charging station is greater than 20%, or the SOC data of the vehicle when it arrives at the next charging station is not greater than 20% and the remaining energy of the vehicle does not support reaching the location of the next charging station, the planning device determines whether the option of the user preference data selected by the user is "charge only" or "cost least". Among them, the distance between the next charging station and the current location is less than the distance between the next charging station and the current location, and the next charging station includes two charging methods: charging and refueling.

[0121] If the option of the user preference data selected by the user is "charging only" or "lowest cost", it means that the user is more inclined to give priority to the charging energy replenishment method, and the planning device determines that the first energy replenishment method of the vehicle is charging.

[0122] If the option of the user preference data selected by the user is not "charging only" or "lowest cost", indicating that the user has no tendency to give priority to the charging replenishment method, the planning device determines the distance information and replenishment information of at least one gas station and the distance information and replenishment information of at least one charging station according to the first energy data and location information of the vehicle;

[0123] Based on the distance information, refueling time and refueling cost of the gas station, and the distance information, charging time and charging cost of the charging station, the planning device determines the optimal energy replenishment method for the vehicle and uses the optimal energy replenishment method as the first energy replenishment method for the vehicle.

[0124] If the SOC data of the vehicle when it arrives at the next refueling station is not greater than 20% and the remaining energy of the vehicle supports reaching the location of the next refueling station, the planning device determines that the vehicle does not need to be refueled temporarily.

[0125] Specifically, the present invention determines whether the user has idle time such as dining or resting when the vehicle is not needed through the schedule information data set by the user. Compared with the refueling method, the charging method takes a longer time. The present invention combines the idle time and the corresponding charging station information to determine the vehicle's charging method so as to match the user's idle time as much as possible.

[0126] If there is no idle time such as meals or rest when the vehicle is not needed, then based on the energy replenishment preference data, it is determined whether the user has a tendency to give priority to charging. If the user is more inclined to give priority to charging, the planning device determines that the first energy replenishment method of the vehicle is charging. If the user does not have a tendency to give priority to charging, then based on the distance information and energy replenishment information of the gas station and the charging station, an optimal energy replenishment method is determined between the two energy replenishment methods of refueling and charging.

[0127] The present invention combines schedule information data, charging preferences and the vehicle's remaining power to make decisions on the vehicle's optimal charging method, and can recommend energy charging methods that are more in line with user preferences or actual needs for dual-energy vehicle users, thereby improving the vehicle's charging route planning capabilities.

[0128] Step 130: Generate a first energy replenishment route according to the first energy replenishment method, vehicle data, road information and user preference data.

[0129] In some embodiments of the present invention, generating a first energy replenishment route according to the first energy replenishment method, vehicle data, road information and user preference data includes:

[0130] Generate a first energy replenishment route according to the first energy replenishment method, vehicle data, road information and the user preference data in combination with a preset recommendation model;

[0131] The recommendation model is obtained by training an initial recommendation model based on user feedback data and execution feedback data; the initial recommendation model is integrated from several learning models.

[0132] For example, please refer to Figure 7 , the variable data that the recommendation model needs to make decisions on is loaded as the model input data State, including: navigation information, road information, driving information, energy information and other information. Among them, navigation information includes: driving route, slope and historical congestion; road information includes: estimated vehicle speed for each road section, information about charging stations along the way and information about gas stations along the way; driving information includes: driving mode, energy recovery mode and number of passengers on the vehicle; energy information includes: remaining battery energy, energy consumption in the last 100 kilometers and power of vehicle-mounted equipment; other information includes: duration of meal periods and duration of rest periods.

[0133] The present invention imports the input data State and user feedback data into the reinforcement learning database Replay Buffer. The user feedback data is obtained through multi-mode sensing technology and vehicle control method, and the user feedback data includes feedback data of the owner and feedback data of the passenger.

[0134] The present invention combines the three learning models Model1, Mldel2 and Model3 as the initial recommendation model. Preferably, the regression tree model, XGBoost model and fully connected neural network model are selected and combined as the initial recommendation model. The planning device imports the input model data State into the initial recommendation model, obtains the prediction results of the three learning models for integrated learning, obtains the recommended decision, and then automatically generates and executes the energy replenishment route to obtain the execution feedback data.

[0135] The planning device imports the execution feedback data into the reinforcement learning system. At the same time, the planning device imports the model input data State and the data of the reinforcement learning database Replay Buffer into the reinforcement learning system.

[0136] The reinforcement learning system performs online deduction of the online Q-Learning algorithm based on the input model data State, and performs offline training of the offline reinforcement learning algorithm (Batch-Constained Q Leaming) based on the data of the reinforcement learning database Replay Buffer, with the goal of maximizing the environmental reward and continuously optimizing the algorithm. The reinforcement learning system tunes the parameters of the initial recommendation model based on the ReplayMemory mechanism and execution feedback data to obtain the recommendation model.

[0137] Specifically, the present invention utilizes a recommendation model to calculate a recharging route. Meanwhile, the recommendation module utilizes user feedback data and execution feedback data to perform reinforcement learning iterations, wherein the execution feedback data is the user's actual travel data, which continuously optimizes the recommendation mechanism of the recommendation model and improves the planning accuracy of the vehicle recharging route.

[0138] To better illustrate the embodiments of the present invention, please refer to Figure 8 The business logic of the vehicle energy replenishment route planning method is: high-precision route estimation, intelligent analysis of energy replenishment planning, and real-time adjustment of strategies.

[0139] In the high-precision route estimation stage, the planning device collects full-scene data, calculates the vehicle energy consumption using the navigation energy consumption algorithm, and calculates the current charging time required for the vehicle using the charging time algorithm. The planning device generates several high-precision charging routes based on the collected full-scene data, calculated vehicle energy consumption and charging time.

[0140] Full-scenario data includes: vehicle data and non-vehicle data. Vehicle data includes: remaining battery power, energy consumption in the last 100 kilometers, vehicle load, number of passengers, driving modes such as sports or energy saving, energy recovery mode, and power of on-board equipment such as air conditioning. Non-vehicle data includes: navigation route, slope, temperature, congestion history, charging station location, charging station availability, charging station charges, gas station location, gas station queues, and schedules such as meals and rest.

[0141] In the intelligent analysis stage of energy replenishment planning, according to the user's selected user preference data options, a recharging route that meets the user's preferences is recommended from the generated several high-precision recharging routes. For example, if the user selects the "intelligent recommendation" option, the intelligent recommendation strategy is used to comprehensively consider the meal, rest, waiting time, recharging cost, etc. to recommend the optimal recharging route. If the user selects the "shortest time" option, the planning device selects the recharging route with the shortest total time to meet the user's schedule. If the user selects the "lowest cost" preference option, the planning device selects the route with the least total cost to meet the user's schedule. If the user selects the "most convenient" option, the planning device selects the route with the least number of user stops and the least detours to meet the user's schedule. If the user selects the "most comfortable" option, the planning device selects a service area with good ratings and complete service facilities as much as possible to meet the user's schedule.

[0142] During the real-time strategy adjustment phase, the planning device updates the algorithm in real time based on changes in remaining power and congestion conditions, so as to re-plan and recommend recharging routes. Changes that trigger algorithm updates also include: updated road conditions, updated user schedules, changes in vehicle power consumption, idle charging stations, gas station queues, parking at service areas, early end of the user's previous trip, or delays in the user's previous trip, and user route adjustments.

[0143] An embodiment of the present invention provides a method for planning a vehicle recharging route. The embodiment of the present invention combines the current driving route, schedule information data and user preference data to determine the optimal recharging method for a dual-energy vehicle, and can recommend an energy recharging method that better meets the user's needs to the dual-energy vehicle user; the embodiment of the present invention combines the user's schedule information data and user preference data to flexibly adjust the vehicle recharging route, and sequentially plans all recharging routes and recharging methods in the entire driving route, so as to realize the planning of multiple recharging methods and routes for long-distance routes. At the same time, when any one of the recharging site information, the schedule information data, the vehicle data, the road information and the user preference data undergoes a preset change, the embodiment of the present invention dynamically adjusts the recharging method and the recharging route planning, thereby improving the flexibility of recharging route planning, so that the planned recharging route better meets the user's needs.

[0144] Fig. 9FIG. 1 is a schematic diagram showing the structure of a first embodiment of a vehicle energy replenishment route planning device according to the present invention. Figure 7 As shown, the device 700 includes: a mileage calculation module 710, a charging mode selection module 720 and a route planning module 730;

[0145] The mileage calculation module 710 is used to calculate the first mileage required for the vehicle to reach the destination and the second mileage that the vehicle can travel when it is determined that the triggering condition of the energy replenishment route planning is met;

[0146] The energy replenishment mode selection module 720 is used to determine a first energy replenishment mode of the vehicle according to the first energy data of the vehicle if the first mileage is greater than the second mileage;

[0147] The route planning module 730 is used to generate a first energy replenishment route according to the first energy replenishment method, vehicle data, road information and the user preference data.

[0148] In an optional manner, the triggering condition for satisfying the energy replenishment route planning includes:

[0149] When receiving a charging route planning instruction issued by a user, determining whether a triggering condition for charging route planning is met;

[0150] Alternatively, when any one of the charging station information, schedule information data, the vehicle data, the road information and the user preference data corresponding to the current charging route of the vehicle undergoes a preset change, it is determined that the triggering condition for charging route planning is met.

[0151] In an optional manner, when any one of the energy replenishment station information corresponding to the current energy replenishment route of the vehicle, the schedule information data, the vehicle data, the road information and the user preference data changes by a preset manner, it includes:

[0152] The method of triggering the preset change of the energy replenishment site information includes: the user modifies the energy replenishment site corresponding to the current energy replenishment route in the preset module;

[0153] The manner of triggering the preset change of the schedule information data includes: the user modifies the schedule information data in the preset module;

[0154] The preset module is used to determine and display the task content of each schedule task in the schedule information and the charging site information on the charging route according to the schedule information and the charging route, so that the user can manage the schedule information data or the charging site information.

[0155] In an optional manner, the mileage calculation module 710 includes: a first calculation unit and a second calculation unit;

[0156] The first calculation unit is used to calculate the first mileage based on the current driving route and the current electric energy and fuel energy of the vehicle;

[0157] The second calculation unit is used to calculate the first mileage based on the current driving route, taking the location of the charging station corresponding to the current charging route of the vehicle as the starting point, predict the second energy data of the vehicle after charging at the charging station corresponding to the current charging route according to the current charging route of the vehicle, and calculate the second mileage based on the second energy data.

[0158] In an optional manner, the energy replenishment mode selection module 720 includes: a first selection unit, a second selection unit and a third selection unit;

[0159] The first selection unit is used to determine whether there is a preset schedule task in the schedule information data before determining the first energy replenishment mode of the vehicle according to the first energy data of the vehicle;

[0160] When there is a preset schedule task in the schedule information data, the second energy replenishment mode of the vehicle is determined based on the charging station information of the location of the preset schedule task;

[0161] A second energy replenishment route is generated according to the second energy replenishment method, vehicle data, road information and user preference data.

[0162] The second selection unit is used to determine information of a plurality of energy replenishment sites that the vehicle can reach according to the first energy data of the vehicle;

[0163] A first energy replenishment mode for the vehicle is determined according to information of the plurality of energy replenishment sites.

[0164] The third selection unit is used to determine whether there is a preset preference in the user preference data before determining the first energy replenishment mode of the vehicle according to the information of the plurality of energy replenishment sites;

[0165] If there is a preset preference in the user preference data, determining a first energy replenishment method for the vehicle according to the preset preference;

[0166] If there is no preset preference in the user preference data, a first energy replenishment method for the vehicle is determined according to information of a plurality of energy replenishment sites.

[0167] Wherein, determining the first energy replenishment mode of the vehicle according to the information of the plurality of energy replenishment sites includes:

[0168] According to the first energy data and the location information of the vehicle, at least one refueling station and at least one charging station are selected from the plurality of energy replenishment stations;

[0169] The optimal energy replenishment mode of the vehicle is determined according to the distance information and energy replenishment information of the gas station and the distance information and energy replenishment information of the charging station, and the optimal energy replenishment mode is used as the first energy replenishment mode of the vehicle.

[0170] In an optional manner, the route planning module 730 includes: a route planning unit;

[0171] The route planning unit is used to generate a first energy replenishment route according to the first energy replenishment method, vehicle data, road information and user preference data in combination with a preset recommendation model;

[0172] The recommendation model is obtained by training an initial recommendation model based on user feedback data and execution feedback data; the initial recommendation model is integrated from several learning models.

[0173] An embodiment of the present invention provides a vehicle recharging route planning device, wherein the mileage calculation module and the recharging method selection module determine the optimal recharging method for dual-energy vehicles in combination with the current driving route and the vehicle's energy data, and can recommend an energy recharging method that better meets the user's needs to the dual-energy vehicle user; the route planning module flexibly adjusts the vehicle recharging route in combination with the user's user preference data, and sequentially plans all recharging routes and recharging methods in the entire driving route, so as to realize the planning of multiple recharging methods and routes for long-distance routes. At the same time, when any one of the recharging site information, the schedule information data, the vehicle data, the road information, and the user preference data undergoes a preset change, the route planning module dynamically adjusts the recharging method and the recharging route planning, thereby improving the flexibility of the recharging route planning, so that the planned recharging route better meets the user's needs.

[0174] Fig.10 The schematic diagram of the structure of an embodiment of the vehicle energy replenishment route planning device of the present invention is shown. The specific embodiment of the present invention does not limit the specific implementation of the vehicle energy replenishment route planning device.

[0175] like Fig.10 As shown, the vehicle energy replenishment route planning device may include: a processor (processor) 802, a communication interface (Communications Interface) 804, a memory (memory) 806, and a communication bus 808.

[0176] The processor 802, the communication interface 804, and the memory 806 communicate with each other via a communication bus 808. The communication interface 804 is used to communicate with other devices such as a client or other server network elements. The processor 802 is used to execute a program 810, which can specifically execute the relevant steps in the above-mentioned embodiment of the method for planning a vehicle energy replenishment route.

[0177] Specifically, the program 810 may include program code including computer executable instructions.

[0178] The processor 802 may be a central processing unit (CPU), or an application-specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiment of the present invention. The one or more processors included in the vehicle energy replenishment route planning device may be processors of the same type, such as one or more CPUs; or may be processors of different types, such as one or more CPUs and one or more ASICs.

[0179] The memory 806 is used to store the program 810. The memory 806 may include a high-speed RAM memory, and may also include a non-volatile memory (non-volatile memory), such as at least one disk memory.

[0180] Program 810 may be specifically called by processor 802 to enable the vehicle recharging route planning device to perform the following operations:

[0181] When a trigger condition for energy replenishment route planning is met, calculating a first mileage required for the vehicle to reach a destination and a second mileage that the vehicle can travel;

[0182] If the first mileage is greater than the second mileage, determining a first energy replenishment method for the vehicle according to the first energy data of the vehicle;

[0183] A first energy replenishment route is generated according to the first energy replenishment method, vehicle data, road information and user preference data.

[0184] In an optional manner, determining a first energy replenishment mode of the vehicle according to the first energy data of the vehicle includes:

[0185] Determining information of a plurality of energy replenishment sites that the vehicle can reach based on the first energy data of the vehicle;

[0186] A first energy replenishment mode for the vehicle is determined according to information of the plurality of energy replenishment sites.

[0187] In an optional manner, before determining the first energy replenishment mode of the vehicle according to the information of the plurality of energy replenishment sites, the method further includes:

[0188] Determining whether there is a preset preference in the user preference data;

[0189] If there is a preset preference in the user preference data, determining a first energy replenishment method for the vehicle according to the preset preference;

[0190] If there is no preset preference in the user preference data, a first energy replenishment method for the vehicle is determined according to information of a plurality of energy replenishment sites.

[0191] In an optional manner, determining the first energy replenishment mode of the vehicle according to information of the plurality of energy replenishment sites includes:

[0192] According to the first energy data and the location information of the vehicle, at least one refueling station and at least one charging station are selected from the plurality of energy replenishment stations;

[0193] The optimal energy replenishment mode of the vehicle is determined according to the distance information and energy replenishment information of the gas station and the distance information and energy replenishment information of the charging station, and the optimal energy replenishment mode is used as the first energy replenishment mode of the vehicle.

[0194] In an optional manner, calculating a first mileage required for the vehicle to reach a destination and a second mileage that the vehicle can travel includes:

[0195] Taking the current position of the vehicle as a starting point and according to the current driving route, the first mileage is calculated; and the second mileage is calculated according to the current electric energy and fuel energy of the vehicle;

[0196] Alternatively, taking the position of the charging station corresponding to the current charging route of the vehicle as the starting point, the first mileage is calculated according to the current driving route; based on the current charging route of the vehicle, predicted energy data of the vehicle after charging at the charging station corresponding to the current charging route is predicted; and the second mileage is calculated based on the predicted energy data.

[0197] In an optional manner, before determining the first energy replenishment mode of the vehicle according to the first energy data of the vehicle, the method further includes:

[0198] Determine whether there is a preset schedule task in the schedule information data;

[0199] When there is a preset schedule task in the schedule information data, the second energy replenishment mode of the vehicle is determined based on the charging station information of the location of the preset schedule task;

[0200] A second energy replenishment route is generated according to the second energy replenishment method, vehicle data, road information and user preference data.

[0201] In an optional manner, generating a first energy replenishment route according to the first energy replenishment method, vehicle data, road information and user preference data includes:

[0202] Generate a first energy replenishment route according to the first energy replenishment method, vehicle data, road information and user preference data, combined with a preset recommendation model;

[0203] The recommendation model is obtained by training an initial recommendation model based on user feedback data and execution feedback data; the initial recommendation model is integrated from several learning models.

[0204] In an optional manner, the triggering condition for satisfying the energy replenishment route planning includes:

[0205] When receiving a charging route planning instruction issued by a user, determining whether a triggering condition for charging route planning is met;

[0206] Alternatively, when any one of the charging station information, schedule information data, the vehicle data, the road information and the user preference data corresponding to the current charging route of the vehicle undergoes a preset change, it is determined that the triggering condition for charging route planning is met.

[0207] The method of triggering the preset change of the energy replenishment site information includes: the user modifies the energy replenishment site corresponding to the current energy replenishment route in the preset module;

[0208] The manner of triggering the preset change of the schedule information data includes: the user modifies the schedule information data in the preset module;

[0209] The preset module is used to determine and display the task content of each schedule task in the schedule information and the charging site information on the charging route according to the schedule information and the charging route, so that the user can manage the schedule information data or the charging site information.

[0210] An embodiment of the present invention provides a vehicle recharging route planning device, which combines the current driving route and the vehicle's energy data to determine the optimal recharging method for dual-energy vehicles, and can recommend an energy recharging method that better meets the user's needs for dual-energy vehicle users; the device flexibly adjusts the vehicle recharging route in combination with the user's user preference data, and sequentially plans all recharging routes and recharging methods in the entire driving route, so as to achieve the planning of multiple recharging methods and routes for long-distance routes. At the same time, when any one of the recharging site information, the schedule information data, the vehicle data, the road information, and the user preference data undergoes a preset change, the device dynamically adjusts the recharging method and recharging route planning, thereby improving the flexibility of recharging route planning, so that the planned recharging route better meets the user's needs.

[0211] An embodiment of the present invention provides a computer-readable storage medium, which stores at least one executable instruction. When the executable instruction is executed on a vehicle energy replenishment route planning device / apparatus, the vehicle energy replenishment route planning device / apparatus executes the vehicle energy replenishment route planning method in any of the above method embodiments.

[0212] A computer-readable storage medium provided by an embodiment of the present invention stores at least one executable instruction, wherein the executable instruction enables a vehicle charging route planning device / apparatus to determine the optimal charging method for a dual-energy vehicle in combination with the current driving route, schedule information data, and user preference data, and to recommend an energy charging method that better meets the user's needs to a dual-energy vehicle user; the planning device / apparatus flexibly adjusts the vehicle charging route in combination with the user's schedule information data and user preference data, and sequentially plans all charging routes and charging methods in the entire driving route, so as to realize the planning of multiple charging methods and routes for long-distance routes. At the same time, when any one of the charging site information, the schedule information data, the vehicle data, the road information, and the user preference data undergoes a preset change, the planning device / apparatus dynamically adjusts the charging method and the charging route planning, thereby improving the flexibility of the charging route planning, so that the planned charging route better meets the user's needs.

[0213] The algorithms or displays provided herein are not inherently related to any particular computer, virtual system or other device. In addition, the embodiments of the present invention are not directed to any particular programming language.

[0214] In the description provided herein, a large number of specific details are described. However, it is understood that embodiments of the present invention can be practiced without these specific details. Similarly, in order to simplify the present invention and help understand one or more of the various inventive aspects, in the above description of exemplary embodiments of the present invention, the various features of the embodiments of the present invention are sometimes grouped together into a single embodiment, figure, or description thereof. Wherein, the claims that follow the specific embodiment are hereby expressly incorporated into the specific embodiment, wherein each claim itself is a separate embodiment of the present invention.

[0215] Those skilled in the art will appreciate that the modules in the devices in the embodiments may be adaptively changed and arranged in one or more devices different from the embodiments. The modules or units or components in the embodiments may be combined into one module or unit or component, and further may be divided into a plurality of submodules or subunits or subcomponents. Except that at least some of such features and / or processes or units are mutually exclusive.

[0216] It should be noted that the above embodiments illustrate the present invention rather than limit it, and that those skilled in the art may devise alternative embodiments without departing from the scope of the appended claims. In the claims, any reference symbol between brackets shall not be construed as a limitation on the claims. The word "comprising" does not exclude the presence of elements or steps not listed in the claims. The word "one" or "an" preceding an element does not exclude the presence of a plurality of such elements. The present invention may be implemented by means of hardware comprising a number of different elements and by means of a suitably programmed computer. In a unit claim enumerating a number of devices, several of these devices may be embodied by the same hardware item. The use of the words first, second, and third, etc. does not indicate any order. These words may be interpreted as names. The steps in the above embodiments, unless otherwise specified, should not be understood as limitations on the order of execution.

Claims

1. A method for planning a vehicle energy replenishment route, characterized in that: The method comprises: When a trigger condition for energy replenishment route planning is met, calculating a first mileage required for the vehicle to reach a destination and a second mileage that the vehicle can travel; If the first mileage is greater than the second mileage, determining a first energy replenishment method for the vehicle according to the first energy data of the vehicle; A first energy replenishment route is generated according to the first energy replenishment method, vehicle data, road information and user preference data.

2. The vehicle energy replenishment route planning method according to claim 1, characterized in that: Determining a first energy replenishment method for the vehicle according to the first energy data of the vehicle includes: Determining information of a plurality of energy replenishment sites that the vehicle can reach based on the first energy data of the vehicle; A first energy replenishment mode for the vehicle is determined according to information of the plurality of energy replenishment sites.

3. The vehicle energy replenishment route planning method according to claim 2, characterized in that: Before determining the first energy replenishment mode of the vehicle according to the information of the plurality of energy replenishment sites, the method further includes: Determining whether there is a preset preference in the user preference data; If there is a preset preference in the user preference data, determining a first energy replenishment method for the vehicle according to the preset preference; If there is no preset preference in the user preference data, a first energy replenishment method for the vehicle is determined according to information of a plurality of energy replenishment sites.

4. The vehicle energy replenishment route planning method according to claim 2, characterized in that: The determining, based on the information of the plurality of energy replenishment sites, a first energy replenishment mode of the vehicle includes: According to the first energy data and the location information of the vehicle, at least one refueling station and at least one charging station are selected from the plurality of energy replenishment stations; The optimal energy replenishment mode of the vehicle is determined according to the distance information and energy replenishment information of the gas station and the distance information and energy replenishment information of the charging station, and the optimal energy replenishment mode is used as the first energy replenishment mode of the vehicle.

5. The vehicle energy replenishment route planning method according to any one of claims 1 to 4, characterized in that: Calculating a first mileage required for the vehicle to reach a destination and a second mileage that the vehicle can travel, including: Taking the current position of the vehicle as a starting point and according to the current driving route, the first mileage is calculated; and the second mileage is calculated according to the current electric energy and fuel energy of the vehicle; Alternatively, taking the position of the charging station corresponding to the current charging route of the vehicle as the starting point, the first mileage is calculated according to the current driving route; based on the current charging route of the vehicle, predicted energy data of the vehicle after charging at the charging station corresponding to the current charging route is predicted; and the second mileage is calculated based on the predicted energy data.

6. The vehicle energy replenishment route planning method according to any one of claims 1 to 4, characterized in that: Before determining the first energy replenishment method of the vehicle according to the first energy data of the vehicle, the method further includes: Determine whether there is a preset schedule task in the schedule information data; When there is a preset schedule task in the schedule information data, the second energy replenishment mode of the vehicle is determined based on the charging station information of the location of the preset schedule task; A second energy replenishment route is generated according to the second energy replenishment method, vehicle data, road information and user preference data.

7. The vehicle energy replenishment route planning method according to claim 1, characterized in that: Generating a first energy replenishment route according to the first energy replenishment method, vehicle data, road information and user preference data, including: Generate a first energy replenishment route according to the first energy replenishment method, vehicle data, road information and user preference data, combined with a preset recommendation model; The recommendation model is obtained by training an initial recommendation model based on user feedback data and execution feedback data; the initial recommendation model is integrated from several learning models.

8. The vehicle energy replenishment route planning method according to claim 1, characterized in that: The triggering conditions for satisfying the energy replenishment route planning include: When receiving a charging route planning instruction issued by a user, determining whether a triggering condition for charging route planning is met; Alternatively, when any one of the charging station information, schedule information data, the vehicle data, the road information and the user preference data corresponding to the current charging route of the vehicle undergoes a preset change, it is determined that the triggering condition for charging route planning is met.

9. The vehicle energy replenishment route planning method according to claim 8, characterized in that: The method of triggering the preset change of the energy replenishment site information includes: the user modifies the energy replenishment site corresponding to the current energy replenishment route in the preset module; The manner of triggering the preset change of the schedule information data includes: the user modifies the schedule information data in the preset module; The preset module is used to determine and display the task content of each schedule task in the schedule information and the charging site information on the charging route according to the schedule information and the charging route, so that the user can manage the schedule information data or the charging site information.

10. A vehicle energy replenishment route planning device, characterized in that: The device comprises: a mileage calculation module, an energy replenishment mode selection module and a route planning module; The mileage calculation module is used to calculate the first mileage required for the vehicle to reach the destination and the second mileage that the vehicle can travel when it is determined that the triggering condition of the energy replenishment route planning is met; The energy replenishment mode selection module is used for determining a first energy replenishment mode of the vehicle according to the first energy data of the vehicle if the first mileage is greater than the second mileage; The route planning module is used to generate a first energy replenishment route according to the first energy replenishment method, vehicle data, road information and the user preference data.

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