Charging control method and device, vehicle, computer-readable storage medium, and computer program

Abstract

The charging control method for a vehicle having an electric function includes the steps of: reading vehicle usage habit data of a user within a predetermined time period, the usage habit data including a charging time point of each charging of the vehicle and a mileage of each driving within the predetermined time period; detecting a current remaining amount of power of the vehicle at a current time; determining a predicted amount of power demand of the vehicle based on the usage habit data; and determining whether the vehicle needs to be charged based on the predicted amount of power demand and the current remaining amount of power. A charging control device (100), a vehicle, and a computer readable storage medium are further provided.

Description

[Technical Field]

[0001] This application claims priority to a Chinese patent application bearing application number 202111410225.0 and entitled "Charging control method and device, vehicle, and computer-readable storage medium" filed with the State Intellectual Property Office of the People's Republic of China on November 24, 2021, the entire contents of which are incorporated herein by reference.

[0002] The present invention relates to the technical field of vehicles, and in particular to a charging control method and device, a vehicle, and a computer-readable storage medium. [Background technology]

[0003] A conventional scheduled charging method charges a vehicle battery according to a scheduled time set by the user. Typically, the scheduled time is an off-peak period of power demand. Before the scheduled time arrives, the vehicle and charging equipment are in a sleep state. When the scheduled time arrives, the vehicle and charging equipment are woken up and begin charging. Generally, the battery continues to charge until it is fully charged, and the charging end SOC state is 100%.

[0004] Although this type of reservation charging method achieves off-peak charging, it only takes into account the power load and electricity costs of the local power grid, and does not consider the battery's energy status or the customer's actual vehicle usage demand to determine whether the battery needs to be charged.If the battery needs to be charged, it does not determine the battery's charging end SOC state, which means the battery remains in a high-power state for a long time, further affecting the battery's service life, etc. Summary of the Invention [Problem to be solved by the invention]

[0005] In order to solve the above technical problems, the present application provides a vehicle charging control method, a charging control device, a vehicle, and a computer-readable storage medium, which determine a predicted amount of power demand based on data on a user's vehicle usage habits, and determine whether charging is necessary by comparing the predicted amount of power demand with the current remaining amount of power.If charging is not necessary, charging that would put the vehicle into a high power state can be avoided.By avoiding the vehicle from entering a high power state, the service life of the battery can be extended, and if charging is necessary, the vehicle can be charged in a timely manner. [Means for solving the problem]

[0006] A charging control method for a vehicle having an electric function according to a first aspect of the present application includes the steps of reading vehicle usage habit data of a user within a predetermined time period, the usage habit data including the charging time of each charge of the vehicle and the mileage of each charge within the predetermined time period; detecting the current remaining amount of energy of the vehicle at the current time; determining a predicted amount of energy demand of the vehicle based on the usage habit data; and determining whether the vehicle needs to be charged based on the predicted amount of energy demand and the current remaining amount of energy.

[0007] Preferably, the step of determining a predicted amount of power demand of the vehicle based on the usage habit data includes: The method includes the steps of: acquiring a cruising range N of the vehicle in a fully charged state; determining the next charging time after the current time and a total mileage M within a period from the current time to the next charging time based on the usage habit data, wherein the total mileage M is the sum of all mileages within a period from the current time to the next charging time; and determining a predicted energy demand SOC1 based on the total mileage M and the cruising range N, wherein SOC1=M / N*100%.

[0008] Preferably, the step of determining whether the vehicle needs to be charged based on the predicted amount of power demand and the current amount of power remaining includes: If the predicted amount of power demand is greater than the current amount of power remaining, determining that the vehicle needs to be charged.

[0009] Preferably, the charging control method further includes the step of controlling the vehicle so as to charge the vehicle up to a target amount of power that is equal to or greater than the predicted amount of power demand.

[0010] Preferably, the step of controlling the vehicle to charge up to a target amount of power includes the step of controlling the vehicle to charge up to a target amount of power equal to the predicted amount of power demand when the predicted amount of power demand is greater than a first predetermined amount of power, and the step of controlling the vehicle to charge up to a target amount of power equal to the first predetermined amount of power when the predicted amount of power demand is equal to or less than the first predetermined amount of power.

[0011] Preferably, the step of controlling the vehicle to charge up to a target amount of power includes a step of controlling the vehicle to charge up to a target amount of power equal to the sum of the predicted amount of demanded power and the second predetermined amount of power when the sum of the predicted amount of demanded power and the second predetermined amount of power is equal to or greater than the first predetermined amount of power, and a step of controlling the vehicle to charge up to a target amount of power equal to the first predetermined amount of power when the sum of the predicted amount of demanded power and the second predetermined amount of power is smaller than the first predetermined amount of power.

[0012] Preferably, the step of determining whether the vehicle needs to be charged based on the predicted amount of demanded energy and the current amount of remaining energy includes a step of determining that charging is necessary and controlling the vehicle to be charged to a target amount of energy equal to the third predetermined amount of energy when the predicted amount of demanded energy is less than or equal to the current amount of remaining energy and the current amount of remaining energy is less than a third predetermined amount of energy, and a step of determining that charging is not necessary when the predicted amount of demanded energy is less than or equal to the current amount of remaining energy and the current amount of remaining energy is greater than or equal to the third predetermined amount of energy.

[0013] Preferably, the usage habit data further includes the time point of each trip within the specified time period, and the method further includes, when it is determined that the vehicle needs to be charged, the steps of determining the next trip start time after the current time based on the time point of each trip, determining the interval between the current time and the next trip start time as a first charging time, and determining a charging current based on the first charging time and the difference between the target energy amount and the current remaining energy amount.

[0014] Preferably, the step of determining a charging current based on the first charging time and the difference between the target amount of energy and the current remaining amount of energy includes the step of determining the charging current based on the first charging time and the difference between the predicted amount of energy demand and the current remaining amount of energy when the target amount of energy is equal to the predicted amount of energy demand.

[0015] Preferably, the usage habit data further includes the time point of each trip within the specified time period, and the method further includes, when it is determined that the vehicle needs to be charged, the steps of determining the next trip start time after the current time based on the time point of each trip, determining the interval between the current time and the next trip start time as a first charging time, and determining a charging current based on the first charging time and the difference between the target energy amount and the current remaining energy amount.

[0016] Preferably, the step of determining the charging current based on the first charging time and the difference between the target amount of power and the current remaining amount of power includes the steps of: when the target amount of power is equal to the sum of the predicted demand amount of power and the second predetermined amount of power, determining the charging current based on the first charging time and the difference between the target amount of power and the current remaining amount of power, wherein the difference between the target amount of power and the current remaining amount of power is the sum of the predicted demand amount of power and the second predetermined amount of power minus the current remaining amount of power; and when the target amount of power is equal to the first predetermined amount of power, determining the charging current based on the first charging time and the difference between the first predetermined amount of power and the current remaining amount of power.

[0017] Preferably, the usage habit data further includes the time point of each trip within the specified time period, and the method further includes, when it is determined that the vehicle needs to be charged, the steps of determining the next trip start time after the current time based on the time point of each trip; determining a second charging time that is shorter than the interval time between the current time and the next trip start time based on a specified charging rate and the difference between the target energy amount and the current remaining energy amount; and determining a charging start time based on the second charging time, wherein the interval time between the charging start time and the next trip start time is the second charging time.

[0018] Preferably, the step of determining a second charging time based on the predetermined charging rate and the difference between the target amount of energy and the current remaining amount of energy includes the step of determining the second charging time based on the predetermined charging rate and the predicted amount of energy demand when the target amount of energy is equal to the predicted amount of energy demand.

[0019] Preferably, the usage habit data further includes the time point of each trip within the specified time period, and the method further includes, when it is determined that the vehicle needs to be charged, the steps of determining the next trip start time after the current time based on the time point of each trip; determining a second charging time that is shorter than the interval time between the current time and the next trip start time based on a specified charging rate and the difference between the target energy amount and the current remaining energy amount; and determining a charging start time based on the second charging time, wherein the interval time between the charging start time and the next trip start time is the second charging time.

[0020] Preferably, the step of determining a second charging time based on the predetermined charging rate and the difference between the target amount of power and the current remaining amount of power includes the steps of: determining the second charging time based on the predetermined charging rate and the sum of the predicted amount of power demand and the second predetermined amount of power when the target amount of power is equal to the sum of the predicted amount of power demand and the second predetermined amount of power; and determining the second charging time based on the predetermined charging rate and the first predetermined amount of power when the target amount of power is equal to the first predetermined amount of power.

[0021] Preferably, the step of determining whether the vehicle needs to be charged based on the predicted amount of demanded energy and the current amount of remaining energy includes the step of determining that charging is not necessary if the predicted amount of demanded energy is equal to or less than the current amount of remaining energy.

[0022] A vehicle charging control device according to a second aspect of the present application includes a reading module, a detection module, and a processing module, wherein the reading module reads a user's vehicle usage habit data within a predetermined period of time, the usage habit data including the charging time of each charge of the vehicle and the mileage of each charge within the predetermined period of time, the detection module detects the current remaining amount of energy of the vehicle at the current time, and the processing module determines the amount of energy demanded by the vehicle based on the usage habit data, and determines whether the vehicle needs to be charged based on the amount of energy demanded and the current remaining amount of energy.

[0023] A vehicle according to a third aspect of the present application includes a battery and the above-described charge control device.

[0024] A computer-readable storage medium according to a fourth aspect of the present application stores a computer program that, when called and executed by a processor, realizes the charging control method described above. [Effects of the Invention]

[0025] The vehicle charging control method, charging control device, vehicle, and computer-readable storage medium of the present application determine the user's vehicle usage demand by obtaining the user's vehicle usage habit data, determine the predicted amount of power demand based on the vehicle usage demand, and determine whether the vehicle needs to be charged by comparing the predicted amount of power demand with the current remaining amount of power.On the one hand, if the vehicle does not need to be charged, charging the vehicle to a high power state can be avoided, and by preventing the vehicle from entering a high power state, the service life of the battery can be extended.On the other hand, if the electric vehicle needs to be charged, it can be charged in a timely manner. [Brief explanation of the drawings]

[0026] In order to more clearly explain the technical means of the present application, the drawings necessary for the embodiments will be briefly described below. Obviously, the drawings described below are only some embodiments of the present application, and those skilled in the art can obtain other drawings based on these drawings without any creative work.

[0027] [Figure 1] 2 is a flowchart of a vehicle charging control method according to an embodiment of the present application. [Figure 2] 1. FIG. 4 is a sub-flowchart of step S103 in FIG. [Figure 3] 1 is a block diagram of a charging control device according to an embodiment of the present invention; [Figure 4] 1 is a block diagram of a vehicle according to an embodiment of the present invention; DETAILED DESCRIPTION OF THE INVENTION

[0028] Hereinafter, the technical means in the embodiments of the present application will be clearly and completely described with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, but not all of the embodiments, and all other embodiments that can be obtained by those skilled in the art based on the embodiments of the present application without any creative work fall within the scope of protection of the present application.

[0029] In the description of this application, the terms "first," "second," "third," etc. are used to distinguish between different objects and not to describe a particular order, and should not be understood as limitations on the application.

[0030] In the description of this application, unless otherwise clearly specified or limited, the term "connected" should be understood in a broad sense, and may mean, for example, fixedly connected, detachably connected, integrally connected, directly connected, indirectly connected via an intermediate medium, or the interiors of two components communicating with each other. Those skilled in the art can understand the specific meaning of the above term in this application according to specific circumstances.

[0031] 1 is a flowchart of a charging control method for a vehicle having an electric power function according to an embodiment of the present invention. As shown in FIG. 1, the charging control method includes the following steps S101 to S104.

[0032] In step S101, the user's vehicle usage habit data within a predetermined time period is read, and the usage habit data includes the charging time point of each charging of the vehicle and the mileage of each driving of the vehicle within the predetermined time period.

[0033] In step S102, the current remaining power amount of the vehicle at the current time is detected.

[0034] In step S103, the predicted amount of power demand of the vehicle is determined based on the usage habit data.

[0035] In step S104, it is determined whether or not the vehicle needs to be charged based on the predicted amount of power demand and the current amount of remaining power.

[0036] A vehicle charging control method according to an embodiment of the present application determines a user's vehicle usage demand by obtaining data on the user's vehicle usage habits, determines the predicted energy demand based on the vehicle usage demand, and determines whether the vehicle needs to be charged by comparing the predicted energy demand with the current remaining energy. On the one hand, if the vehicle does not need to be charged, charging the vehicle to a high power state can be avoided, and preventing the vehicle from entering a high power state can extend the service life of the battery. On the other hand, if the electric vehicle needs to be charged, it can be charged in a timely manner.

[0037] The predetermined time period may be one day, one week, one month, etc. For example, the predetermined time period may be one week, and the usage habit data includes the charging time of each charging, the mileage of each driving, and the driving time of each driving from Monday to Sunday. The longer the predetermined time period, the more general the usage habit data.

[0038] It should be noted that the above usage habit data represents the user's charging and vehicle usage habits within a specified time period. Since the charging and vehicle usage habits of most users are both predictable and versatile, the usage habit data within a specified time period represents the user's past charging and vehicle usage habits, and unless there are special circumstances, the above usage habit data can predict the user's future charging and vehicle usage habits.

[0039] 2 is a sub-flowchart of step S103 in FIG. 1 according to an embodiment of the present application. As shown in FIG. 2, in some embodiments, determining a predicted energy demand of the vehicle based on the usage habit data includes the following steps S1031 to S1033.

[0040] In step S1031, the cruising distance N of the vehicle in a fully charged state is acquired.

[0041] In step S1032, based on the usage habit data, the next charging time after the current time and the total mileage M within the period from the current time to the next charging time are determined, and the total mileage M is the sum of all mileages within the period from the current time to the next charging time.

[0042] In step S1033, a predicted amount of power demand SOC1 is determined based on the total travel distance M and the cruising distance N, where SOC1=M / N*100%.

[0043] The current time may be after the end time of the previous trip and before the start time of the next trip.

[0044] The cruising distance N may be a distance that the vehicle can travel when it is fully charged and traveling at its maximum speed.

[0045] In some embodiments, the fully charged state refers to the maximum usable power of the vehicle's battery, which is determined based on the maximum storable power of the battery and a predetermined fixed power amount, and is the difference between the maximum storable power amount and the predetermined fixed power amount. For example, if the maximum storable power amount is 100% and the predetermined fixed power amount is 10%, the maximum usable power amount is 90%. The value of the predetermined fixed power amount can be set to another value according to actual demand. The predetermined fixed power amount is an unusable power amount, i.e., when the battery's power amount is consumed to equal the predetermined fixed power amount, the battery will no longer supply power to the vehicle. Setting the predetermined fixed power amount can prevent the battery from being completely depleted and thereby extend the battery's service life.

[0046] Furthermore, the next charging time after the current time can be determined based on the charging time for each charge within the specified time in the usage habit data, and the number of times the vehicle has been driven and the distance traveled for each drive within the period from the current time to the next charging time can be determined based on the distance traveled for each drive within the specified time in the usage habit data, and further, the total distance traveled M for the period from the current time to the next charging time can be determined. For example, if it is determined that a total of n drives have been made within the period from the current time to the next charging time based on the distance traveled for each drive within the specified time, and the distance traveled for the first drive is M1, the distance traveled for the second drive is M2, ..., and the distance traveled for the nth drive is Mn, then the total distance traveled M = M1 + M2 + ... + Mn.

[0047] The vehicle charging control method according to the embodiment of the present application obtains the user's usage habit data to determine the total distance traveled within the time from the user's current time to the next charging time, and determines the predicted amount of power demand based on the total distance traveled. This makes it possible to very quickly and easily calculate the power consumption of the vehicle and obtain the predicted amount of power demand. Furthermore, since the maximum power consumption during vehicle use is the length of the traveled distance, determining the predicted amount of power demand based on the total traveled distance takes into account the actual usage process of the vehicle by the user.

[0048] In some embodiments, the step of determining whether charging is required based on the predicted amount of demanded energy and the current amount of remaining energy includes the step of determining that the vehicle needs to be charged if the predicted amount of demanded energy is greater than the current amount of remaining energy, and controlling the vehicle to charge to a target amount of energy, the target amount of energy being equal to or greater than the predicted amount of demanded energy so as to meet vehicle usage demand from the current time to the next charging time.

[0049] A vehicle charging control method according to an embodiment of the present application obtains the user's usage habit data to determine vehicle usage demand within a period from the user's current time to the next charging time, and determines the predicted energy demand based on the vehicle usage demand. If the predicted energy demand is greater than the current remaining energy, it determines that the vehicle needs to be charged, and charges the vehicle based on the predicted energy demand. This not only ensures that the energy supply of the vehicle meets the user's vehicle usage demand before the next charging time, but also prevents the vehicle from being overcharged to a high power state, effectively reducing the time the battery spends in a high power state and extending the service life of the battery.

[0050] In some embodiments, the step of controlling the vehicle to charge to a target amount of power includes, if the predicted amount of demanded power is greater than a first predetermined amount of power, controlling the vehicle to charge to the target amount of power equal to the predicted amount of demanded power, and if the predicted amount of demanded power is equal to or less than the first predetermined amount of power, controlling the vehicle to charge to the target amount of power equal to the first predetermined amount of power.

[0051] The first predetermined amount of power can be set according to actual demand, for example, set to 30%. When the vehicle needs to be charged, the vehicle is controlled to be charged to the target amount of power that is equal to or greater than the first predetermined amount of power, so that the vehicle has enough power for the battery self-discharge process when parked, thereby preventing the battery from being over-discharged and shortening its service life.

[0052] In some other embodiments, the step of controlling the vehicle to charge to the target amount of power includes a step of controlling the vehicle to charge to the target amount of power equal to the sum of the predicted demand amount of power and the second predetermined amount of power, when the sum of the predicted demand amount of power and the second predetermined amount of power is equal to or greater than the first predetermined amount of power, and a step of controlling the vehicle to charge to the target amount of power equal to the first predetermined amount of power, when the sum of the predicted demand amount of power and the second predetermined amount of power smaller than the first predetermined amount of power is smaller than the first predetermined amount of power.

[0053] The second predetermined amount of power can be set according to actual demand, for example, set to 10%. When the vehicle needs to be charged, the vehicle is controlled to be charged to the target amount of power that is equal to or greater than the sum of the predicted demand amount of power and the second predetermined amount of power. This allows the target amount of power of the vehicle to meet the user's vehicle use demand, and the second predetermined amount of power is stored in the vehicle as a backup, preventing the user from temporarily increasing the driving distance and making the vehicle unusable due to insufficient power. The second predetermined amount of power may also be a correction compensation amount for the amount of power charged to the vehicle. Since there may be a deviation between the amount of power charged to the vehicle during charging and a set value, the second predetermined amount of power may be set to 10%. vehicle By controlling the charging time to be shorter than the predicted demand amount of power, the deviation of the charging amount of power during charging can be compensated for, and the target amount of power can be made larger than at least the predicted demand amount of power, thereby satisfying the user's vehicle usage demand.

[0054] In some embodiments, the step of determining whether charging is required based on the predicted amount of demanded energy and the current amount of remaining energy includes the steps of determining that charging is required and controlling the vehicle to charge to the target amount of energy equal to the third predetermined amount of energy when the predicted amount of demanded energy is less than or equal to the current amount of remaining energy and the current amount of remaining energy is less than a third predetermined amount of energy, and determining that the vehicle does not need to be charged when the predicted amount of demanded energy is less than or equal to the current amount of remaining energy and the current amount of remaining energy is greater than or equal to the third predetermined amount of energy.

[0055] When the predicted demand energy is equal to or less than the current remaining energy amount and the current remaining energy amount is smaller than the third predetermined energy amount, the vehicle is controlled to be charged to a target energy amount equal to the third predetermined energy amount, so that when the vehicle is parked, there is sufficient energy for the battery self-discharge process, thereby preventing the battery from being over-discharged and shortening its service life. The third predetermined energy amount can be set according to actual demand, for example, to 30%.

[0056] If the predicted energy demand is less than or equal to the current remaining energy and the current remaining energy is greater than or equal to the third predetermined energy, it is determined that the vehicle does not need to be charged, and the current remaining energy of the vehicle not only meets the user's vehicle use needs, but also has enough energy for the battery's self-discharge process when the vehicle is parked, preventing the battery from being over-discharged and shortening its service life. Also, by comparing the predicted energy demand and the current remaining energy, it is determined that the current remaining energy can meet the user's vehicle use needs, and therefore it is determined that the vehicle does not need to be charged, preventing the vehicle from being unnecessarily charged, causing the battery to enter a high-power state and shortening its service life.

[0057] In another embodiment, if the predicted power demand is equal to or less than the current remaining power, it can be determined that the vehicle does not need to be charged, since the current remaining power of the vehicle can already meet the user's vehicle usage needs, eliminating the need to charge the vehicle and avoiding unnecessary charging of the vehicle, which would cause the battery to enter a high-power state and shorten its service life.

[0058] In some embodiments, the usage habit data further includes a start time of each trip within the predetermined time period, and when it is determined that the vehicle needs to be charged, the charging control method further includes: determining a next trip start time after the current time based on the driving habit data; determining an interval between the current time and the next trip start time as a first charging time; and determining a charging current based on the first charging time and a difference between the target power amount and the current remaining power amount. On the premise of ensuring that the vehicle is charged to the target power amount of the vehicle within the first charging time, the vehicle is charged with as small a charging current as possible to extend the service life of the vehicle's battery.

[0059] In some embodiments, when the target power amount is equal to the predicted power demand amount, the charging current is determined based on the first charging time and the difference between the predicted power demand amount and the current remaining power amount, that is, the vehicle is charged with as small a charging current as possible on the premise that the vehicle is charged until the target power amount of the vehicle is equal to the predicted power demand amount within the first charging time, thereby extending the service life of the vehicle battery.

[0060] In some other embodiments, when the target amount of power is equal to the sum of the predicted demand amount of power and the second predetermined amount of power, the charging current is determined based on the first charging time and the difference between the target amount of power and the current remaining amount of power, and the difference between the target amount of power and the current remaining amount of power is the sum of the predicted demand amount of power and the second predetermined amount of power minus the current remaining amount of power. That is, on the premise that the vehicle is charged until the target amount of power of the vehicle is equal to the sum of the predicted demand amount of power and the second predetermined amount of power within the first charging time, the vehicle is charged with as small a charging current as possible, thereby extending the service life of the vehicle's battery.

[0061] In some other embodiments, when the target power amount is equal to the first predetermined power amount, the charging current is determined based on the first charging time and the difference between the first predetermined power amount and the current remaining power amount, that is, the vehicle is charged with as small a charging current as possible on the premise that the vehicle is charged until the target power amount of the vehicle is equal to the first predetermined power amount within the first charging time, thereby extending the service life of the vehicle battery.

[0062] The charging control method according to an embodiment of the present application determines the next driving start time based on the driving time of each driving within the predetermined time, determines the interval between the current time and the next driving start time as a first charging time, and charges the vehicle with as small a charging current as possible within the first charging time, thereby extending the service life of the vehicle battery. Furthermore, by determining the next driving start time, the time during which the vehicle can be charged, i.e., the first charging time, can be accurately determined, so that the vehicle can be charged to the target power amount within the first charging time, thereby satisfying the user's vehicle usage needs.

[0063] In some embodiments, the usage habit data further includes a driving start time for each driving within the specified time period, and the charging control method further includes, when it is determined that the vehicle needs to be charged, a step of determining a next driving start time after the current time based on the driving habit data; a step of determining a second charging time that is shorter than the interval time between the current time and the next driving start time based on a specified charging rate and a difference between the target energy amount and the current remaining energy amount; and a step of determining a charging start time based on the second charging time, wherein the interval time between the charging start time and the next driving start time is the second charging time.

[0064] The predetermined charging rate can be set based on the user's usage habits, charging needs, or default rate parameters of the vehicle. The second charging time is determined based on the predetermined charging rate and the difference between the target power amount and the current remaining power amount. If the second charging time is shorter than the interval between the current time and the next driving start time, the selected charging start time is set as close as possible to the next driving start time so that the interval between the charging start time and the next driving start time is equal to the second charging time, and charging of the vehicle can be delayed as long as possible, thereby minimizing the time the vehicle's battery is in a high-power state and extending the battery's service life. Therefore, the charging control method according to the embodiment of the present application intelligently determines the charging start time, shortening the time the battery is in a high-power state and extending the battery's service life.

[0065] In some embodiments, when the target power amount is equal to the predicted power demand amount, the second charging time is determined based on the predetermined charging rate and the predicted power demand amount, for example, the predetermined charging rate is 10% / h, the predicted power demand amount is 50%, and the second charging time is 5 h.

[0066] In some other embodiments, when the target amount of power is equal to the sum of the predicted demand amount of power and the second predetermined amount of power, the second charging time is determined based on the predetermined charging rate and the sum of the predicted demand amount of power and the second predetermined amount of power.

[0067] In some other embodiments, when the target amount of power is equal to the first predetermined amount of power, the second charging time is determined based on the predetermined charging rate and the first predetermined amount of power.

[0068] As described above, the vehicle charging control method according to the embodiment of the present application obtains the user's usage habit data to determine the total mileage of the user within the period from the current time to the next charging time, determines the predicted energy demand based on the total mileage, and determines whether the vehicle needs to be charged by comparing the predicted energy demand with the current remaining energy. On the one hand, if the vehicle does not need to be charged, charging the vehicle to a high power state can be avoided, and by avoiding the vehicle from entering a high power state, the service life of the battery can be extended. On the other hand, if the electric vehicle needs to be charged, it can be charged in a timely manner, and the vehicle is charged based on the predicted energy demand, so that the amount of energy of the vehicle not only meets the user's vehicle usage demand before the next charging time, but also prevents the vehicle from being overcharged to a high power state, effectively reducing the time the battery spends in a high power state and extending the service life of the battery.

[0069] FIG. 3 is a block diagram of a vehicle charging control device 100 according to an embodiment of the present application. The charging control method according to any of the above-described embodiments can be applied to the charging control device 100. As shown in FIG. 3, the charging control device 100 includes a reading module 10, a detection module 20, and a processing module 30. The reading module 10 reads a user's vehicle usage habit data within a predetermined time period, and the usage habit data includes the charging time of each charging of the vehicle and the mileage of each charging within the predetermined time period. The detection module 20 detects the current remaining energy of the vehicle at the current time. The processing module 30 determines a predicted energy demand of the vehicle based on the usage habit data, and determines whether the vehicle needs to be charged based on the predicted energy demand and the current remaining energy.

[0070] The vehicle control device 100 according to the embodiment of the present application determines the user's vehicle usage demand by obtaining the user's vehicle usage habit data, and determines the predicted power demand based on the vehicle usage demand, and determines whether the vehicle needs to be charged by comparing the predicted power demand with the current remaining power. On the one hand, if the vehicle does not need to be charged, charging the vehicle to a high power state can be avoided, and by preventing the vehicle from entering a high power state, the service life of the battery can be extended. On the other hand, if the electric vehicle needs to be charged, it can be charged in a timely manner.

[0071] In some embodiments, the charging control device 100 further includes a storage module (not shown), which stores the user's vehicle usage habit data for the predetermined time period, the usage habit data including the charging time of each charging of the vehicle, the mileage of each driving, and the driving time of each driving. The predetermined time period may be one day, one week, one month, etc. For example, the storage module stores the user's usage habit data for the most recent week, including the charging time of each charging of the vehicle, the mileage of each driving, and the driving time of each driving of each day from Monday to Sunday. The longer the predetermined time period, the more general the usage habit data.

[0072] It should be noted that the above usage habit data represents the user's charging and vehicle usage habits within a specified time period. Since the charging and vehicle usage habits of most users are both predictable and versatile, the usage habit data within a specified time period represents the user's past charging and vehicle usage habits, and unless there are special circumstances, the above usage habit data can predict the user's future charging and vehicle usage habits.

[0073] In some embodiments, the reading module 10 reads the user's vehicle usage habit data for a predetermined period of time stored in the storage module and transmits the usage habit data to the processing module 30. Upon receiving the usage habit data, the processing module 30 determines a predicted energy demand for the vehicle based on the usage habit data, and determines whether the vehicle needs to be charged based on the predicted energy demand and the current remaining energy. Upon receiving the usage habit data, the processing module 30 performs statistics and analysis on the usage habit data to determine the next charging time after the current time and the total mileage M within the period from the current time to the next charging time, where the total mileage M is the sum of all mileages within the period from the current time to the next charging time.

[0074] In some embodiments, the processing module 30 further obtains a cruising range N of the vehicle when fully charged, and determines a predicted energy demand SOC1 based on the total mileage M and the cruising range N, where SOC1=M / N*100%, and in some embodiments, the cruising range N may be a distance that the vehicle can travel when traveling at its maximum speed.

[0075] The reading module 10 and the processing module 30 may be processing chips such as a processor, a one-chip microcomputer, a controller, etc., and the reading module 10 and the processing module 30 may be separate processing chips or an integrated processing chip. The detection module 20 may be a voltage detector that acquires the voltage of a battery and can obtain the corresponding amount of power based on the mapping relationship between a predetermined voltage and the amount of power, or the detection module 20 may be integrated into the same processing chip as the reading module 10 and the processing module 30. The storage module may be a memory such as a solid state disk or an SD card.

[0076] The vehicle charging control method according to the embodiment of the present application obtains the user's usage habit data to determine the total distance traveled within the time from the user's current time to the next charging time, and determines the predicted amount of power demand based on the total distance traveled. This makes it possible to very quickly and easily calculate the power consumption of the vehicle and obtain the predicted amount of power demand. Furthermore, since the maximum power consumption during vehicle use is the length of the traveled distance, determining the predicted amount of power demand based on the total traveled distance takes into account the actual usage process of the vehicle by the user.

[0077] In some embodiments, the processing module 30 determining a predicted amount of power demand of the vehicle based on the usage habit data and determining whether the vehicle needs to be charged based on the predicted amount of power demand and the current remaining amount of power includes the processing module 30 determining that the vehicle needs to be charged if the predicted amount of power demand is greater than the current remaining amount of power, and controlling the vehicle to be charged to a target amount of power equal to or greater than the predicted amount of power demand.

[0078] The processing module 30 compares the magnitude of the predicted energy demand with the current remaining energy, and if the predicted energy demand is greater than the current remaining energy, determines that charging is necessary and controls the vehicle to be charged to a target energy amount equal to or greater than the predicted energy demand.

[0079] In some embodiments, the processing module 30 controls the vehicle to be charged to a target amount of power equal to the predicted amount of power demand when the predicted amount of power demand is greater than the current amount of remaining power and greater than the first predetermined amount of power, and controls the vehicle to be charged to the target amount of power equal to the first predetermined amount of power when the predicted amount of power demand is greater than the current amount of remaining power and less than or equal to the first predetermined amount of power.

[0080] When the vehicle needs to be charged, the processing module 30 controls the vehicle to be charged to the target power amount that is equal to or greater than the first predetermined power amount, so that when the vehicle is parked, there is enough power available for the battery's self-discharge process, thereby preventing the battery from being over-discharged and shortening its service life.

[0081] In some other embodiments, the processing module 30 further controls the vehicle to be charged to the target amount of power equal to the sum of the predicted amount of power demand and the second predetermined amount of power when the predicted amount of power demand is greater than the current remaining amount of power and the sum of the predicted amount of power demand and a second predetermined amount of power is greater than or equal to a first predetermined amount of power, and controls the vehicle to be charged to the target amount of power equal to the first predetermined amount of power when the predicted amount of power demand is greater than the current remaining amount of power and the sum of the predicted amount of power demand and a second predetermined amount of power smaller than the first predetermined amount of power is smaller than the first predetermined amount of power.

[0082] The second predetermined amount of power can be set according to actual demand, for example, to 10%. When the vehicle needs to be charged, the processing module 30 controls the vehicle to charge to the target amount of power equal to or greater than the sum of the predicted demand amount of power and the second predetermined amount of power. This allows the target amount of power of the vehicle to meet the user's vehicle usage demand, and the second predetermined amount of power is stored in the vehicle as a backup, preventing the user from temporarily increasing the mileage and making the vehicle unusable due to insufficient power. The second predetermined amount of power can also be used as a correction compensation amount for the amount of power charged to the vehicle. Since there may be a deviation between the amount of power charged to the vehicle during charging and a set value, controlling the vehicle to charge to the target amount of power equal to or greater than the sum of the predicted demand amount of power and the second predetermined amount of power compensates for the deviation in the amount of charging power during charging, making the target amount of power at least greater than the predicted demand amount of power, thereby meeting the user's vehicle usage demand.

[0083] In some embodiments, the processing module 30 determining whether the vehicle needs to be charged based on the predicted amount of demanded energy and the current amount of remaining energy further includes the processing module 30 determining that charging is necessary if the predicted amount of demanded energy is less than or equal to the current amount of remaining energy and the current amount of remaining energy is less than a third predetermined amount of energy, and controlling the vehicle to charge to a target amount of energy equal to the third predetermined amount of energy, and determining that charging is not necessary if the predicted amount of demanded energy is less than or equal to the current amount of remaining energy and the current amount of remaining energy is greater than or equal to the third predetermined amount of energy.

[0084] The processing module 30 further compares the current remaining power amount with the third predetermined power amount.

[0085] If the predicted demand energy is equal to or less than the current remaining energy and the current remaining energy is less than the third predetermined energy, the processing module 30 controls the vehicle to charge the target energy, which is equal to the third predetermined energy, so that the vehicle has enough energy for the self-discharge process of the battery when parked, thereby preventing the battery from being over-discharged and shortening its service life. In some embodiments, the third predetermined energy can be set according to actual demand, for example, 30%.

[0086] If the predicted energy demand is less than or equal to the current remaining energy and the current remaining energy is greater than or equal to the third predetermined energy, the processing module 30 determines that the vehicle does not need to be charged, and that the vehicle's current remaining energy not only meets the user's vehicle usage needs, but also has enough energy for the battery's self-discharge process when the vehicle is parked, preventing the battery from being over-discharged and shortening its service life. Furthermore, by comparing the predicted energy demand and the current remaining energy, it can be determined that the current remaining energy can meet the user's vehicle usage needs, and thus determines that the vehicle does not need to be charged, and avoids unnecessary charging of the vehicle, which would cause the battery to enter a high-power state and shorten its service life.

[0087] In another embodiment, the processing module 30 further determines that the vehicle does not need to be charged if the predicted power demand is equal to or less than the current remaining power, since the current remaining power of the vehicle can already meet the user's vehicle usage demand, eliminating the need to charge the vehicle and avoiding unnecessary charging of the vehicle, which would cause the battery to enter a high-power state and shorten its service life.

[0088] In some embodiments, if the processing module 30 determines that the vehicle needs to be charged, it further determines the next trip start time after the current time based on the trip time of each trip, determines the interval time between the current time and the next trip start time as a first charging time, and determines a charging current based on the first charging time and the predicted demand energy.

[0089] The reading module 10 reads the driving time points of each driving within the predetermined time stored in the storage module and transmits them to the processing module 30. Upon receiving the driving time points of each driving within the predetermined time, the processing module 30 statistically analyzes the driving time points of each driving within the predetermined time to determine the start time of the next driving after the current time, determines the interval between the current time and the start time of the next driving as a first charging time, and determines a charging current based on the first charging time and the predicted power demand. The processing module 30 controls the vehicle to be charged with as small a charging current as possible, on the premise that the vehicle is charged until the target power amount becomes equal to or greater than the predicted power demand within the first charging time, thereby extending the service life of the vehicle's battery.

[0090] In some other embodiments, when the processing module 30 determines that the vehicle needs to be charged, it further determines the next driving start time after the current time based on the driving time of each driving, determines a second charging time that is shorter than the interval time between the current time and the next driving start time based on a predetermined charging rate and the predicted energy demand, and determines a charging start time based on the second charging time, where the interval time between the charging start time and the next driving start time is the second charging time.

[0091] The second charging time is determined based on the predetermined charging rate and the predicted power demand, and if the second charging time is shorter than the interval between the current time and the next driving start time, the selected charging start time is set as close as possible to the next driving start time so that the interval between the charging start time and the next driving start time is equal to the second charging time and charging of the vehicle can be delayed as long as possible, thereby minimizing the time the vehicle's battery is in a high-power state and extending the battery's service life. Therefore, the charging control method according to the embodiment of the present application intelligently determines the charging start time, shortening the time the battery is in a high-power state and extending the battery's service life.

[0092] In some embodiments, the charging control device 100 may be provided in the vehicle, and the charging control device 100 further includes a communication module and a control switch (not shown), where the communication module communicates with a power supply equipment that charges the vehicle, and the control switch is connected between a battery of the vehicle and a charging port of the vehicle. After the power supply equipment is connected to the charging port of the vehicle, the control switch turns on the connection between the battery and the power supply equipment when in an on state, and turns off the connection between the battery and the power supply equipment when in an off state. The power supply equipment may be a charging pile, etc.

[0093] If it is determined that the vehicle needs to be charged, the processing module 30 sends a charging command to the communication module to charge the vehicle up to the target amount of power, controls the control switch to switch from an off state to an on state to turn on the battery and the power supply equipment, the communication module sends the charging command to the power supply equipment, and the power supply equipment charges the vehicle based on the charging command, and the vehicle is charged up to the target amount of power.

[0094] If it is determined that the vehicle does not need to be charged, the processing module 30 controls the control switch to remain in an off state, thereby keeping the battery and the power supply equipment off and preventing the power supply equipment from charging the battery.

[0095] The power supply equipment may be a DC charging pile or an AC charging pile, the communication module may communicate with the power supply equipment via a CAN (Controller Area Network) bus, and the control switch may be a DC contactor or an AC contactor.

[0096] The reading module 10, the detection module 20, and the processing module 30 may be a processor or controller (e.g., a central processing unit (CPU), a general-purpose processor, a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field programmable gate array (FPGA) or other programmable logic device, a transistor logic device, a hardware component, or any combination thereof. The various exemplary logic blocks, modules, and circuits described in connection with the present disclosure may be implemented or performed by the processor. The processor may also be a combination of one or more microprocessors, a combination of a DSP and a microprocessor, or the like, that implements computing functions. The communication module may be a transceiver, a transceiver circuit, a radio frequency chip, a communication interface, or the like, and the storage module may be a memory.

[0097] The method and functional operations performed by the charging control device 100 of the present application may be performed after the charging port of the vehicle is connected to the power supply equipment.

[0098] Fig. 4 shows a vehicle 200 according to an embodiment of the present application. As shown in Fig. 4, the vehicle 200 includes a battery 150, a charging port 160, and the charging control device 100 according to any of the above-described embodiments.

[0099] The battery 150 is connected to the charge control device 100, which controls the charging process of the battery 150. The charge port 160 is connected to the charge control device 100. The charge port 160 is connected to the power supply equipment so that the power supply equipment can charge the battery 150 via the charge port 160.

[0100] The vehicle 200 according to the embodiment of the present application may be a vehicle equipped with a power battery, such as a pure electric vehicle, a hybrid vehicle, etc. If the vehicle 200 is a hybrid vehicle, the total mileage M corresponds to the portion of the hybrid vehicle that is driven by the power of the battery 150. The vehicle 200 may be a pure electric vehicle, a pure electric truck, a hybrid electric vehicle, a hybrid electric truck, etc.

[0101] A computer-readable storage medium according to an embodiment of the present application stores a computer program that, when called and executed by a processor, implements the charging control method according to any one of the above-described embodiments.

[0102] Those skilled in the art will understand that all or part of the steps in the various methods in the above embodiments may be completed by instructing relevant hardware by a program, and the program may be stored in a computer-readable memory, which may include a flash memory, a read-only memory, a random access memory, a magnetic disk, an optical disk, etc.

[0103] Although the above-described embodiments of the methods are expressed as a combination of a series of operations for ease of explanation, those skilled in the art should know that the present application is not limited to the order of operations described, and that some steps may be performed in other orders or simultaneously based on the present application. Next, those skilled in the art should know that the embodiments described in the specification are all preferred embodiments, and that the related operations and modules are not necessarily essential to the present application.

[0104] In the above embodiments, emphasis is placed on the description of each embodiment, and for parts that are not explained in detail in one embodiment, please refer to the description of the relevant parts in other embodiments.

[0105] It should be noted that the above is an embodiment of the present application, and that those skilled in the art may make some improvements and modifications without departing from the principles of the present application, and these improvements and modifications are also deemed to fall within the scope of protection of the present application. [Explanation of symbols]

[0106] 100 Charging control device 10 Read Module 20 Detection Module 30 Processing Module 150 batteries 160 charging port 200 vehicles

Claims

1. A charging control method for a vehicle having an electric function, comprising: A step of reading vehicle usage habit data of a user within a predetermined time period, the usage habit data including a charging time point of each charging of the vehicle and a mileage of each driving of the vehicle within the predetermined time period (S101); Detecting the current remaining energy of the vehicle at the current time (S102); determining a predicted energy demand of the vehicle based on the usage habit data (S103); and determining whether the vehicle needs to be charged based on the predicted amount of power demand and the current amount of power remaining (S104). determining a predicted energy demand for the vehicle based on the usage habit data, A step of acquiring a cruising distance N of the vehicle in a fully charged state (S1031); a step of determining a next charging time after the current time and a total mileage M within a period from the current time to the next charging time based on the usage habit data, the total mileage M being the sum of all mileages within a period from the current time to the next charging time (S1032); and determining a predicted amount of power demand SOC1 based on the total traveling distance M and the cruising range N, where SOC1 = M / N * 100% (S1033).

2. A charging control method for a vehicle having an electric function, comprising: A step of reading vehicle usage habit data of a user within a predetermined time period, the usage habit data including a charging time point of each charging of the vehicle and a mileage of each driving of the vehicle within the predetermined time period (S101); Detecting the current remaining energy of the vehicle at the current time (S102); determining a predicted energy demand of the vehicle based on the usage habit data (S103); and determining whether the vehicle needs to be charged based on the predicted amount of power demand and the current amount of power remaining (S104). The step of determining whether the vehicle needs to be charged based on the predicted amount of power demand and the current amount of power remaining includes: determining that the vehicle needs to be charged if the predicted amount of power demand is greater than the current amount of power remaining; The charge control method includes: The method further includes controlling the vehicle so as to charge the vehicle up to a target amount of power that is equal to or greater than the predicted amount of power demand, The step of controlling the vehicle to charge up to a target power amount includes: When the predicted amount of power demand is greater than a first predetermined amount of power, controlling the vehicle so as to charge the vehicle up to a target amount of power equal to the predicted amount of power demand; and when the predicted amount of demanded energy is equal to or less than the first predetermined amount of energy, controlling the vehicle to be charged up to a target amount of energy equal to the first predetermined amount of energy.

3. The step of controlling the vehicle to charge up to a target power amount includes: When the sum of the predicted amount of demanded energy and a second predetermined amount of energy is equal to or greater than the first predetermined amount of energy, controlling the vehicle so as to charge the vehicle up to a target amount of energy equal to the sum of the predicted amount of demanded energy and the second predetermined amount of energy; 3. The method for controlling charging of a vehicle according to claim 2, further comprising: when a sum of the predicted demand amount of energy and a second predetermined amount of energy is smaller than the first predetermined amount of energy, controlling the vehicle so as to charge the vehicle up to a target amount of energy equal to the first predetermined amount of energy.

4. A charging control method for a vehicle having an electric function, comprising: A step of reading vehicle usage habit data of a user within a predetermined time period, the usage habit data including a charging time point of each charging of the vehicle and a mileage of each driving of the vehicle within the predetermined time period (S101); Detecting the current remaining energy of the vehicle at the current time (S102); determining a predicted energy demand of the vehicle based on the usage habit data (S103); and determining whether the vehicle needs to be charged based on the predicted amount of power demand and the current amount of power remaining (S104). The step of determining whether the vehicle needs to be charged based on the predicted amount of power demand and the current amount of power remaining includes: determining that charging is necessary when the predicted amount of demanded energy is equal to or less than the current remaining energy amount and the current remaining energy amount is smaller than a third predetermined amount of energy, and controlling the vehicle to be charged to a target amount of energy equal to the third predetermined amount of energy; and determining that charging is not necessary when the predicted amount of demanded energy is equal to or less than the current remaining energy amount and the current remaining energy amount is equal to or greater than the third predetermined amount of energy.

5. The step of determining whether the vehicle needs to be charged based on the predicted amount of power demand and the current amount of remaining power comprises: determining that the vehicle needs to be charged if the predicted amount of power demand is greater than the current amount of power remaining; The charge control method includes: The method further includes controlling the vehicle so as to charge the vehicle up to a target amount of power that is equal to or greater than the predicted amount of power demand, The usage habit data further includes a time point of each run within the predetermined time period, and the method further comprises: If it is determined that the vehicle needs to be charged, determining a next trip start time after the current time based on the trip time of each trip; determining an interval time between a current time and the next running start time as a first charging time; 2. The method for controlling charging of a vehicle according to claim 1, further comprising: determining a charging current based on the first charging time and a difference between the target amount of electric energy and the current remaining amount of electric energy.

6. The step of determining a charging current based on the first charging time and the difference between the target amount of energy and the current remaining amount of energy includes:

6. The vehicle charging control method according to claim 5, further comprising: when the target amount of power is equal to the predicted amount of power demand, determining the charging current based on the first charging time and a difference between the predicted amount of power demand and the current remaining amount of power.

7. The usage habit data further includes a time point of each run within the predetermined time period, and the method further comprises: If it is determined that the vehicle needs to be charged, determining a next trip start time after the current time based on the trip time of each trip; determining an interval time between a current time and the next running start time as a first charging time; 4. The method for controlling charging of a vehicle according to claim 3, further comprising the step of determining a charging current based on the first charging time and a difference between the target amount of electric energy and the current remaining amount of electric energy.

8. The step of determining a charging current based on the first charging time and the difference between the target amount of energy and the current remaining amount of energy includes: When the target amount of power is equal to the sum of the predicted demand amount of power and the second predetermined amount of power, determining the charging current based on the first charging time and a difference between the target amount of power and the current remaining amount of power, wherein the difference between the target amount of power and the current remaining amount of power is the sum of the predicted demand amount of power and the second predetermined amount of power minus the current remaining amount of power; 8. The method for controlling charging of a vehicle according to claim 7, further comprising: when the target amount of power is equal to the first predetermined amount of power, determining the charging current based on the first charging time and a difference between the first predetermined amount of power and the current remaining amount of power.

9. The step of determining whether the vehicle needs to be charged based on the predicted amount of power demand and the current amount of remaining power comprises: determining that the vehicle needs to be charged if the predicted amount of power demand is greater than the current amount of power remaining; The charge control method includes: The method further includes controlling the vehicle so as to charge the vehicle up to a target amount of power that is equal to or greater than the predicted amount of power demand, The usage habit data further includes a time point of each run within the predetermined time period, and the method further comprises: If it is determined that the vehicle needs to be charged, determining a next trip start time after the current time based on the trip time of each trip; determining a second charging time that is shorter than the interval between the current time and the next running start time based on a predetermined charging rate and the difference between the target power amount and the current remaining power amount; 2. The vehicle charging control method according to claim 1, further comprising: a step of determining a charging start time based on the second charging time, wherein the second charging time is an interval between the charging start time and the next driving start time.

10. The step of determining a second charging time based on the predetermined charging rate and the difference between the target amount of power and the current remaining amount of power includes:

10. The method for controlling charging of a vehicle according to claim 9, further comprising: determining the second charging time based on the predetermined charging rate and the predicted amount of power demand when the target amount of power is equal to the predicted amount of power demand.

11. The usage habit data further includes a time point of each run within the predetermined time period, and the method further comprises: If it is determined that the vehicle needs to be charged, determining a next trip start time after the current time based on the trip time of each trip; determining a second charging time that is shorter than the interval between the current time and the next running start time based on a predetermined charging rate and the difference between the target power amount and the current remaining power amount; 4. The vehicle charging control method according to claim 3, further comprising: a step of determining a charging start time based on the second charging time, wherein the second charging time is an interval between the charging start time and the next driving start time.

12. The step of determining a second charging time based on the predetermined charging rate and the difference between the target amount of power and the current remaining amount of power includes: When the target amount of power is equal to the sum of the predicted amount of power demand and the second predetermined amount of power, determining the second charging time based on the predetermined charging rate and the sum of the predicted amount of power demand and the second predetermined amount of power; 12. The method for controlling charging of a vehicle according to claim 11, further comprising: when the target amount of power is equal to the first predetermined amount of power, determining the second charging time based on the predetermined charging rate and the first predetermined amount of power.

13. The step of determining whether the vehicle needs to be charged based on the predicted amount of power demand and the current amount of power remaining includes:

2. The method for controlling charging of a vehicle according to claim 1, further comprising the step of determining that charging is not necessary when the predicted amount of power demand is equal to or less than the current remaining amount of power.

14. A vehicle charging control device (100) including a reading module (10), a detection module (20), and a processing module (30), The reading module (10) reads the user's vehicle usage habit data within a predetermined time period, the usage habit data including the charging time point of each charging of the vehicle and the mileage of each driving of the vehicle within the predetermined time period; A detection module (20) detects the current remaining energy amount of the vehicle at a current time; a processing module (30) acquiring a cruising distance N of the vehicle in a fully charged state, determining a next charging time after the current time and a total mileage M within a period from the current time to the next charging time based on the usage habit data, the total mileage M being the sum of all mileages within a period from the current time to the next charging time, determining a predicted energy demand SOC1 based on the total mileage M and the cruising distance N, where SOC1=M / N*100%, and determining whether the vehicle needs to be charged based on the predicted energy demand and the current remaining energy. A vehicle charging control device (100).

15. A vehicle (200) comprising a battery (150) and a charge control device (100) according to claim 14.

16. A computer-readable storage medium storing a computer program that, when called and executed by a processor, implements the charge control method according to any one of claims 1 to 13.

17. A computer program that, when executed by a processor, implements the charge control method according to any one of claims 1 to 13.

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