An intelligent charging method and device and storage medium

Abstract

The application discloses a kind of intelligent charging method, device and storage medium, according to the schedule of user, select unused car time period, vehicle automatically travels to charging equipment and carries out charging, user does not need to wait, save user time and it is convenient to travel.The method of the application comprises: obtaining the schedule information of user and the initial electric quantity of target electric vehicle, whether it needs to be charged according to the schedule information and the initial electric quantity of target electric vehicle;If it needs to be charged, the first charging time node is determined according to the schedule information, the relevant information of charging equipment in the preset range of target electric vehicle is obtained according to the position information of target electric vehicle before the first charging time node, the electric quantity after charging is calculated according to the relevant information, and the charging equipment with the highest electric quantity after charging is determined as the target charging equipment;Automatic driving mode is started at the first charging time node, and travels to target charging equipment for charging.

Description

TECHNICAL FIELD

[0001] Embodiments of the present application relate to the field of intelligent charging, in particular to an intelligent charging method, device and storage medium. BACKGROUND

[0002] A self-driving car, also known as an unmanned car, a computer-driven car, or a wheeled mobile robot, is an intelligent vehicle that realizes unmanned driving through a computer system. With the popularity of self-driving cars, self-driving cars can be used as taxis or public transportation. When a passenger uses a self-driving car, the passenger inputs a destination, and the self-driving car generates a driving route based on the current location and the destination, and drives according to the generated driving route.

[0003] With more and more self-driving cars, electric self-driving cars using power sources have entered people's lives, and charging of electric self-driving cars with autonomous driving functions has become a pressing problem. Because of the limited charging equipment and long charging time, users can only drive the vehicle to the charging equipment to wait, which is time-consuming and troublesome, wastes the user's time, and is inconvenient for travel. SUMMARY

[0004] The present application provides an intelligent charging method, device and storage medium. According to the user's travel arrangement, the unused vehicle time period is selected, and the vehicle automatically drives to the charging equipment for charging. The user does not need to wait, which saves the user's time and is convenient for travel.

[0005] The first aspect of the present application provides an intelligent charging method, comprising:

[0006] obtaining travel arrangement information of a user and a starting power of a target electric vehicle, the travel arrangement information including a vehicle use time period, an unused vehicle time period, and travel location information of the user;

[0007] determining whether charging is needed according to the travel arrangement information and the starting power of the target electric vehicle;

[0008] if charging is needed, determining a first charging time node according to the unused vehicle time period;

[0009] obtaining related information of charging equipment within a preset range of the target electric vehicle before the first charging time node according to location information of the target electric vehicle, the related information including charging mode, location information, and expected waiting time of the charging equipment, the charging mode being slow charging or fast charging according to different charging time;

[0010] calculating a post-charging power according to the related information, the post-charging power being a sum of a current power and a charging power, and the post-charging power being obtained by removing power consumed by charging and returning;

[0011] determining the charging device with the highest power after charging as a target charging device;

[0012] starting an autonomous driving mode at a first charging time node and driving to the target charging device for charging.

[0013] Optionally, whether charging is needed is determined according to the trip arrangement information and the initial power of the target electric vehicle, including:

[0014] calculating a distance to be traveled by the target electric vehicle according to the trip location information;

[0015] calculating the power needed according to the distance;

[0016] determining whether charging is needed according to the power and the initial power of the target electric vehicle.

[0017] Optionally, if charging is needed, a first charging time node is determined according to the trip arrangement information, including:

[0018] if charging is needed, a set of unused vehicle time periods greater than a preset time length is determined according to the trip arrangement information;

[0019] determining a set of charging time nodes starting from the unused vehicle time periods;

[0020] determining the earliest time node in the set of charging time nodes as the first charging time node.

[0021] Optionally, before the first charging time node, relevant information of charging devices within a preset range of the target electric vehicle is obtained according to the position of the target electric vehicle, including:

[0022] obtaining actual trip information of the target electric vehicle before the first charging time node;

[0023] determining whether the actual trip information of the target electric vehicle is similar to the trip arrangement information, where similar means that the actual position of the target electric vehicle is within a preset distance from the position in the trip arrangement information, and the target electric vehicle still needs to be charged near the first charging time node;

[0024] if similar, relevant information of charging devices within a preset range of the target electric vehicle is obtained.

[0025] Optionally, determining whether the actual position of the target electric vehicle is similar to the position in the trip arrangement information further includes:

[0026] if not similar, updating the first charging time node according to the actual trip information of the user;

[0027] According to the updated first charging time node target electric vehicle location, the relevant information of the charging device within the preset range of the target electric vehicle is obtained.

[0028] Optionally, the charging power after charging is calculated according to the relevant information, including:

[0029] The time length and the consumed power required for charging and returning are calculated according to the location information of the charging device and the location information of the target electric vehicle.

[0030] The actual charging time length is calculated according to the time length required for charging and returning, the expected waiting time length, and the unused vehicle time period.

[0031] The charging power is calculated according to the actual charging time length and the charging method.

[0032] The charging power after charging is calculated according to the current power, the charging power, and the consumed power.

[0033] Optionally, the automatic driving mode is started at the first charging time node, and after driving to the target charging device for charging, it further includes:

[0034] If the charging is still needed to continue after the charging is completed at the first charging time node, the time node closest to the first charging time node in the charging time node set is taken as the second charging time node.

[0035] The charging device with the highest charging power after charging is found at the second charging time node to continue charging.

[0036] The second aspect of the present application provides an intelligent charging device, including:

[0037] The first acquisition unit is configured to acquire the user's travel schedule information, and the travel schedule information includes the user's vehicle use time period, the unused vehicle time period, and the travel location information.

[0038] The judgment unit is configured to determine whether charging is needed according to the initial power of the target electric vehicle and the travel schedule information.

[0039] Optionally, the judgment unit includes:

[0040] The first calculation module is configured to calculate the distance to be traveled by the target electric vehicle according to the travel location information.

[0041] The second calculation module is configured to calculate the required power according to the distance.

[0042] The judgment module is configured to determine whether charging is needed according to the power and the initial power of the target electric vehicle.

[0043] The first determining unit is configured to determine a first charging time node according to the travel schedule information if charging is needed, and the first charging time node is followed by an unused vehicle time period;

[0044] Optionally, the first determining unit comprises:

[0045] The first determining module is configured to determine a set of unused vehicle time periods greater than a preset time length according to the travel schedule information if charging is needed.

[0046] The second determining module is configured to determine a set of charging time nodes starting from the time node of the unused vehicle time period.

[0047] The third determining module is configured to determine the earliest time node in the set of charging time nodes as the first charging time node.

[0048] The second obtaining unit is configured to obtain relevant information of charging devices within a preset range of the target electric vehicle according to the position information of the target electric vehicle before the first charging time node, the relevant information including charging modes, position information, and expected waiting time length of the charging devices, and the charging mode refers to slow charging or fast charging according to different charging time lengths.

[0049] Optionally, the second obtaining unit comprises:

[0050] The first obtaining module is configured to obtain actual travel information of the target electric vehicle before the first charging time node.

[0051] The judging module is configured to judge whether the actual travel information of the target electric vehicle is similar to the travel schedule information, and the similarity refers to that the actual position of the target electric vehicle deviates from the position in the travel schedule information within a preset distance, and the target electric vehicle still needs to be charged near the first charging time node.

[0052] The second obtaining module is configured to obtain the relevant information of the charging devices within the preset range of the target electric vehicle if the actual travel information is similar to the travel schedule information.

[0053] The updating module is configured to update the first charging time node according to the actual travel information of the user if the actual travel information is not similar to the travel schedule information.

[0054] The third obtaining module is configured to obtain the relevant information of the charging devices within the preset range of the target electric vehicle according to the position of the target electric vehicle after the updated first charging time node.

[0055] The calculating unit is configured to calculate the electric quantity after charging according to the relevant information, the electric quantity after charging being the sum of the current electric quantity and the charging electric quantity, and the electric quantity obtained after removing the consumed electric quantity for charging and returning.

[0056] Optionally, the calculating unit comprises:

[0057] The first calculation module is configured to calculate the time length and the consumed power required for the charging round trip according to the position information of the charging device and the position information of the target electric vehicle;

[0058] The second calculation module is configured to calculate the actual charging time length according to the time length required for the charging round trip, the expected waiting time length and the unused vehicle time period;

[0059] The third calculation module is configured to calculate the charging power according to the actual charging time length and the charging mode;

[0060] The fourth calculation module is configured to calculate the post-charging power according to the current power, the charging power and the consumed power.

[0061] The second determination unit is configured to determine the charging device with the highest post-charging power as the target charging device;

[0062] The charging unit is configured to start the autonomous driving mode at the first charging time node and drive to the target charging device for charging.

[0063] Optionally, the apparatus further comprises:

[0064] The third determination unit is configured to, if the charging still needs to be continued after the charging is completed at the first charging time node, take the time node closest to the first charging time node in the set of charging time nodes as the second charging time node.

[0065] The searching unit is configured to search for the charging device with the highest post-charging power at the second charging time node to continue charging.

[0066] The third aspect of the present application provides a computer readable storage medium, and the computer readable storage medium has a program saved thereon. When the program is executed on a computer, the program executes the intelligent charging method of the first aspect and any optional aspect of the first aspect.

[0067] From the above technical solutions, it can be seen that the embodiments of the present application have the following advantages:

[0068] Firstly, the user's schedule information and the starting power of the target electric vehicle are acquired, the schedule information including the user's vehicle use time period, non-vehicle use time period and travel location information; whether charging is needed is determined according to the schedule information and the starting power of the target electric vehicle; if charging is needed, the first charging time node is determined according to the non-vehicle use time period; before the first charging time node, the related information of the charging device within the preset range of the target electric vehicle is acquired according to the location information of the target electric vehicle, the related information including the charging mode, location information, expected waiting time of the charging device and other information, the charging mode being slow charging or fast charging according to different charging time; then the power after charging is calculated according to the related information, the power after charging being the sum of the current power and the charging power, the power obtained after removing the power consumed by the charging round trip; the charging device with the highest power after charging is determined as the target charging device; finally, the automatic driving mode is started at the first charging time node, and the target charging device is driven to charge.

[0069] In the present application, according to the user's schedule, the non-vehicle use time period is selected, the vehicle automatically drives to the charging device for charging, the user does not need to wait, the user's time is saved and the travel is convenient. BRIEF DESCRIPTION OF DRAWINGS

[0070] Figure 1 An embodiment schematic diagram of the intelligent charging method of the present application;

[0071] Figure 2-1 Figure 2-2 Another embodiment schematic diagram of the intelligent charging method of the present application;

[0072] Figure 3 An embodiment schematic diagram of the intelligent charging device of the present application;

[0073] Figure 4 Another embodiment schematic diagram of the intelligent charging device of the present application. DETAILED DESCRIPTION

[0074] In the following description, specific details are set forth such as particular system architectures, techniques etc. in order to provide a thorough understanding of the embodiments of the present application. However, persons skilled in the art should understand that the present application can also be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, apparatuses, circuits and methods are omitted so as not to obscure the description of the present application with unnecessary details.

[0075] ​It should be understood that the term "include" as used in the specification and in the following claims denotes the presence of the described features, integers, steps, operations, elements, and / or components, but does not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and / or groups thereof.

[0076] It should also be understood that the term "and / or" as used in the specification and in the following claims indicates any combination of one or more of the associated listed items and all possible combinations thereof.

[0077] As used in the specification and in the following claims, the term "if" can be interpreted as meaning "when" or "once" or "in response to a determination" or "in response to detecting" depending on the context. Similarly, the phrase "if it is determined" or "if [a described condition or event] is detected" can be interpreted as meaning "once it is determined" or "in response to a determination" or "upon detecting [a described condition or event]" or "in response to detecting [a described condition or event]" depending on the context.

[0078] In addition, in the description of the application and in the following claims, the terms "first", "second", "third", etc. are only used to distinguish descriptions, and cannot be understood as indicating or implying relative importance.

[0079] Reference in the specification to "one embodiment" or "some embodiments" means that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one embodiment of the application. Thus, the appearances of the phrases "in one embodiment", "in some embodiments", "in other embodiments", "in additional embodiments", and so on, in various places in the specification are not necessarily all referring to the same embodiment, unless otherwise specifically stated. The terms "comprise", "comprises", "comprising", "include", "includes", "including", and their variants, mean "including but not limited to", unless otherwise specifically stated.

[0080] In the prior art, due to the limited charging equipment and long charging time, users can only drive the vehicle to the charging equipment to wait, the charging time is long and the charging process is troublesome, which wastes the user's time and is inconvenient for travel.

[0081] Please refer to Figure 1 The embodiments of the application provide an embodiment of an intelligent charging method, which comprises:

[0082] 101, obtaining the travel schedule information of the user and the initial power of the target electric vehicle, the travel schedule information containing the vehicle use time period, the non-vehicle use time period and the travel location information of the user;

[0083] The travel schedule information refers to the user's travel schedule in the next period of time, including the departure place, the stopover place, the destination, and the corresponding departure time, the stopover time, the arrival time, etc. The user's actual travel and the travel schedule information have no big change in the absence of special circumstances. The initial electric quantity refers to all the electric quantity information of the target electric vehicle with automatic driving function at the departure place according to the travel schedule information.

[0084] For example, the travel schedule of user A on a certain day is to drive from home to A place from 8:00 to 8:30 am, work at A place from 8:30 to 12:00, drive from A place to B place from 12:00 to 12:30, have lunch at B place from 12:30 to 13:00, drive from B place to C place for business from 13:00 to 19:00. The initial electric quantity of the target electric vehicle at 8:00 am is 30%, and the cruising range of the vehicle driving at an economic speed of 50 km / h is 500 km. It should be noted that the examples in the embodiments of the present application are all based on the premise that the target electric vehicle drives at an economic speed of 50 km / h. In the actual vehicle driving process, the actual situation should be analyzed and calculated.

[0085] 102. Determine whether charging is needed according to the initial electric quantity of the target electric vehicle and the travel schedule information;

[0086] When the initial electric quantity of the target electric vehicle can meet the driving requirements in the travel schedule information, charging can be performed after the travel is completed. When the initial electric quantity of the target electric vehicle cannot meet the driving requirements in the travel schedule information, charging needs to be performed during the travel. For example, user A in step 101, 30% of the electric quantity can only drive for 3 hours, which cannot meet the driving requirements in the travel schedule information, so charging needs to be performed during the travel.

[0087] 103. If charging is needed, determine a first charging time node according to the non-vehicle-use time period;

[0088] When charging needs to be performed during the travel, the first non-vehicle-use time period with a longer time in the travel schedule information is taken as the first charging time node. For example, user A in step 101, the vehicle can be charged when it is not used from 8:30 to 12:00 at A place.

[0089] 104. Obtain the relevant information of the charging device within the preset range of the target electric vehicle according to the location information of the target electric vehicle before the first charging time node, the relevant information including the charging mode, the location information, the expected waiting time, etc. of the charging device, and the charging mode refers to slow charging or fast charging according to different charging time.

[0090] The size of the preset range is determined according to the distribution position of the charging device. When there are more charging devices distributed near the position of the target electric vehicle at the first charging time node, the preset range can be set smaller to save the power consumed during charging. When there are fewer charging devices distributed near the position of the target electric vehicle at the first charging time node, the size of the preset range can only be increased to obtain more suitable charging devices. At the first charging time node, some charging devices can be in use and need to be queued, and some charging devices can only support slow charging due to adaptability and other reasons. Therefore, the charging mode, position information, and expected waiting time of the charging device need to be considered comprehensively. For example, there are 5 idle charging locations within 3 kilometers, and the charging devices include fast charging and slow charging modes. Therefore, the preset range can be set to within 3 kilometers of the vehicle.

[0091] 105. Calculate the post-charging power based on the related information. The post-charging power is the sum of the current power and the charging power, minus the power consumed during the charging round trip;

[0092] To obtain the best charging effect within a limited time, the charging device with the highest post-charging power is selected for charging. To obtain the highest post-charging power, the vehicle needs to select the charging device with the shortest charging time, the closest location, and the shortest expected waiting time at the first charging time node. When the three conditions cannot be met simultaneously, the charging power is reduced by the consumed power, and the maximum value is taken. There is power consumption during the journey from the user's drop-off location to the charging location and from the charging location to the drop-off location after charging is completed. The charging time is also reduced during the round trip. The current power minus the power consumed from the drop-off location to the charging location is the charging starting power, and the power for driving to the drop-off location after charging is the post-charging power.

[0093] For example, user A in step 101 can use the charging time for 3.5 hours from 8:30 to 12:00 when working at location A. The first charging scheme is to charge at the drop-off point with a slow charging device without waiting, and the power consumed during the charging round trip can be ignored. The current power is 25% at 8:30, and the chargeable power per hour is 10%. Therefore, the highest post-charging power is 60%. The second charging scheme is to charge with a fast charging device, wait for half an hour, and consume 5% power during the charging round trip. The chargeable power per hour is 50%, and the highest post-charging power is 97.5%. Obviously, the post-charging power of the second scheme is higher.

[0094] 106. Determine the charging device with the highest post-charging power as the target charging device;

[0095] 107. Start the autonomous driving mode at the first charging time node and drive to the target charging device for charging.

[0096] The target electric vehicle has an automatic driving function, and when the user does not use the vehicle, the user can directly handle his own affairs, the vehicle automatically travels to a target charging device for charging, and the user does not need to spend time in the charging process.

[0097] In the embodiment, first, travel schedule information of a user and initial power of a target electric vehicle are acquired, the travel schedule information includes a vehicle use time period, a non-vehicle use time period and travel location information of the user; whether charging is needed is determined according to the travel schedule information and the initial power of the target electric vehicle; if charging is needed, a first charging time node is determined according to the non-vehicle use time period; before the first charging time node, relevant information of charging devices within a preset range of the target electric vehicle is acquired according to location information of the target electric vehicle, the relevant information includes charging modes, location information, expected waiting time length and other information of the charging devices, the charging modes are slow charging or fast charging divided according to different charging time lengths; then, post-charging power is calculated according to the relevant information, the post-charging power is the sum of current power and charging power, and the power obtained after removing power consumed by charging and returning; a charging device with the highest post-charging power is determined as a target charging device; finally, an automatic driving mode is started at the first charging time node, and the target charging device is traveled to for charging.

[0098] In the application, according to the travel schedule of the user, the non-vehicle use time period is selected, the vehicle automatically travels to the charging device for charging, the user does not need to wait, the user's time is saved, and travel is facilitated.

[0099] Please refer to Figure 2-1 , Figure 2-2 Another embodiment of the intelligent charging method is provided in the embodiment, which includes the following steps.

[0100] 201, travel schedule information of a user and initial power of a target electric vehicle are acquired, the travel schedule information includes a vehicle use time period, a non-vehicle use time period and travel location information of the user;

[0101] The step 201 in the embodiment is similar to the step 101 in the foregoing embodiment, and details are not repeated here.

[0102] 202, a travel distance of the target electric vehicle is calculated according to the travel location information;

[0103] 203, power needed is calculated according to the travel distance;

[0104] 204, whether charging is needed is determined according to the power and the initial power of the target electric vehicle;

[0105] When the target electric vehicle needs to travel according to the trip location information, and there are multiple routes between two locations, the average of the shortest three routes is selected to calculate the distance, so as to ensure the accuracy of the judgment. For example, there are three shortest routes between A and B, the first route is 198 kilometers, the second route is 201 kilometers, and the third route is 201 kilometers. The average of the shortest three routes is 200 kilometers, which is used to calculate the distance.

[0106] 205、If charging is needed, a set of unused vehicle time periods longer than a preset time length is determined according to the trip arrangement information;

[0107] 206、The time node at which the set of unused vehicle time periods starts is determined as a set of charging time nodes;

[0108] 207、The earliest time node in the set of charging time nodes is selected as a first charging time node;

[0109] When charging is needed during the trip, the unused vehicle time period may be short. In this case, the short charging time of the vehicle has a bad effect on the service life of the battery. It is not economical to charge, and even the electric quantity consumed during the round trip is more than the electric quantity obtained by charging. Therefore, the unused vehicle time period reaching the preset time length is selected for charging. The preset time length is determined according to the charging method, the battery model, etc. Generally, it is not less than one hour. If the charging is urgently needed, the preset time length can be appropriately shortened.

[0110] 208、Actual trip information is obtained before the first charging time node;

[0111] 209、It is judged whether the actual trip information is similar to the trip arrangement information. The similarity means that the actual position of the target electric vehicle deviates from the position in the trip arrangement information within a preset distance, and the target electric vehicle still needs to be charged near the first charging time node;

[0112] 210、If similar, the related information of the charging equipment within a preset range of the target electric vehicle is obtained;

[0113] 211、If not similar, the first charging time node is updated according to the actual trip information of the user;

[0114] 212、According to the position of the target electric vehicle at the updated first charging time node, the related information of the charging equipment within a preset range of the target electric vehicle is obtained;

[0115] In most cases, the actual travel information of the user during the use of the vehicle will deviate from the travel arrangement information. When the deviation is within an allowable range, that is, the actual position of the target electric vehicle deviates from the position in the travel arrangement information within a preset distance, and the target electric vehicle still needs to be charged near the first charging time node, the charging can be slightly adjusted before and after the first time node and continue to be charged. The preset distance is determined according to the length of the route, for example, if the route is long, the allowable deviation can be set to 3-5 kilometers, and if the route is a few kilometers, the deviation can be set to 1 kilometer. If the deviation exceeds the allowable range, the route and the power consumption need to be calculated according to the new travel of the user, and the charging time and location need to be found again.

[0116] 213. Calculate the time length and consumed power required for charging round trip according to the position information of the charging device and the position information of the target electric vehicle;

[0117] 214. Calculate the actual charging time length according to the time length required for charging round trip, the predicted waiting time length, and the unused vehicle time period;

[0118] 215. Calculate the charging power according to the actual charging time length and the charging mode;

[0119] 216. Calculate the post-charging power according to the current power, the charging power, and the consumed power;

[0120] The actual charging time length is not greater than the unused vehicle time period. In the calculation of the post-charging power, the two cannot be directly equated. The post-charging power is also not greater than the current power plus the charging power. The consumed power during the charging round trip needs to be considered in the calculation of the actual charging time length.

[0121] 217. Determine the charging device with the highest post-charging power as the target charging device;

[0122] 218. Start the automatic driving mode at the first charging time node and travel to the target charging device for charging.

[0123] Steps 217 and 218 in the embodiment are similar to steps 106 and 107 in the foregoing embodiment, which will not be described here.

[0124] 219. If the charging still needs to continue after the completion of the charging at the first charging time node, the time node closest to the first charging time node in the charging time node set is taken as the second charging time node;

[0125] 220. Find the charging device with the highest post-charging power at the second charging time node to continue charging.

[0126] If the remaining power of the vehicle is still not enough for the entire power consumption after charging at the first charging time node, the second charging time node is searched for charging, and the closest refers to the closest after the vehicle power consumption to a certain amount, such as a long unused vehicle time period after the vehicle power consumption is 5%, but there is no need to charge at this time.

[0127] In this embodiment, first, the user's travel schedule information is obtained, the distance to be traveled by the target electric vehicle is calculated according to the travel location information, the required power is calculated according to the distance, and it is judged whether charging is needed according to the power and the starting power of the target electric vehicle. If charging is needed, a set of unused vehicle time periods greater than the preset time length is determined according to the travel schedule information, the time node at which the unused vehicle time period starts is determined as a set of charging time nodes, the earliest time node in the set of charging time nodes is taken as the first charging time node, the actual travel information is obtained before the first charging time node, and it is judged whether the actual travel information is similar to the travel schedule information. The similar refers to the deviation between the actual position of the target electric vehicle and the position in the travel schedule information being within the preset distance, and the target electric vehicle still needs to be charged near the first charging time node. If it is similar, the relevant information of the charging equipment within the preset range of the target electric vehicle is obtained, and if it is not similar, the first charging time node is updated according to the actual travel information of the user. According to the position of the target electric vehicle after the first charging time node is updated, the relevant information of the charging equipment within the preset range of the target electric vehicle is obtained, the time length and the consumed power required for charging and returning are calculated according to the position information of the charging equipment and the position information of the target electric vehicle, the actual charging time length is calculated according to the time length required for charging and returning, the waiting time length and the unused vehicle time period, the charging power is calculated according to the actual charging time length and the charging mode, the power after charging is calculated according to the current power, the charging power and the consumed power, the charging equipment with the highest power after charging is determined as the target charging equipment, and finally the automatic driving mode is started at the first charging time node and travels to the target charging equipment for charging. If the charging is still needed after the first charging time node is completed, the time node closest to the first charging time node in the set of charging time nodes is taken as the second charging time node, and the charging equipment with the highest power after charging is searched for charging at the second charging time node.

[0128] In this application, according to the user's travel schedule, the unused vehicle time period is selected, the vehicle automatically travels to the charging equipment for charging, the user does not need to wait, the user's time is saved, and the travel is convenient.

[0129] Please refer to Figure 3 , the application provides an embodiment of an intelligent charging device, which comprises:

[0130] The first obtaining unit 301 is configured to obtain schedule information of a user, wherein the schedule information comprises a vehicle use time period, a non-vehicle use time period and schedule location information of the user.

[0131] The judging unit 302 is configured to determine whether charging is needed according to the initial power of the target electric vehicle and the schedule information.

[0132] The first determining unit 303 is configured to determine a first charging time node according to the schedule information if charging is needed, wherein the first charging time node is after the non-vehicle use time period.

[0133] The second obtaining unit 304 is configured to obtain related information of charging devices within a preset range of the target electric vehicle according to the location information of the target electric vehicle before the first charging time node, wherein the related information comprises charging modes, location information and expected waiting time of the charging devices, and the charging modes are divided into slow charging or fast charging according to different charging time.

[0134] The calculating unit 305 is configured to calculate a post-charging power according to the related information, wherein the post-charging power is the sum of the current power and the charging power, and is obtained by removing the power consumed by the charging and the return.

[0135] The second determining unit 306 is configured to determine the charging device with the highest post-charging power as a target charging device.

[0136] The charging unit 307 is configured to start an automatic driving mode at the first charging time node and drive to the target charging device for charging.

[0137] In the embodiment, first, the schedule information of the user and the initial power of the target electric vehicle are obtained, wherein the schedule information comprises the vehicle use time period, the non-vehicle use time period and the schedule location information of the user; then, it is determined whether charging is needed according to the schedule information and the initial power of the target electric vehicle; if charging is needed, the first charging time node is determined according to the non-vehicle use time period; before the first charging time node, the related information of the charging devices within a preset range of the target electric vehicle is obtained according to the location information of the target electric vehicle, wherein the related information comprises the charging modes, the location information and the expected waiting time of the charging devices, and the charging modes are divided into slow charging or fast charging according to different charging time; then, the post-charging power is calculated according to the related information, wherein the post-charging power is the sum of the current power and the charging power, and is obtained by removing the power consumed by the charging and the return; the charging device with the highest post-charging power is determined as the target charging device; finally, the automatic driving mode is started at the first charging time node and the target charging device is driven to for charging.

[0138] In the application, according to the schedule of the user, the unused time period is selected, the vehicle automatically travels to the charging device for charging, the user does not need to wait, the user's time is saved and the travel is convenient.

[0139] Please refer to Figure 4 The application provides another embodiment of the intelligent charging device, which comprises:

[0140] The first acquisition unit 401 is configured to acquire schedule information of a user, wherein the schedule information comprises a vehicle use time period, an unused vehicle time period and schedule location information of the user.

[0141] The judging unit 402 is configured to judge whether charging is needed according to the initial power of the target electric vehicle and the schedule information.

[0142] Optionally, the judging unit 402 comprises:

[0143] The first calculation module 4021 is configured to calculate a distance to be traveled by the target electric vehicle according to the schedule location information.

[0144] The second calculation module 4022 is configured to calculate the power needed according to the distance.

[0145] The judging module 4023 is configured to judge whether charging is needed according to the power and the initial power of the target electric vehicle.

[0146] The first determination unit 403 is configured to determine a first charging time node according to the schedule information if charging is needed, wherein the first charging time node is after the unused vehicle time period.

[0147] Optionally, the first determination unit 403 comprises:

[0148] The first determination module 4031 is configured to determine a set of unused vehicle time periods greater than a preset time length according to the schedule information if charging is needed.

[0149] The second determination module 4032 is configured to determine a set of charging time nodes as the time node at which the unused vehicle time period starts.

[0150] The third determination module 4033 is configured to determine the earliest time node in the set of charging time nodes as the first charging time node.

[0151] The second acquisition unit 404 is configured to acquire relevant information of charging devices within a preset range of the target electric vehicle according to the location information of the target electric vehicle before the first charging time node, wherein the relevant information comprises charging modes, location information, expected waiting time length and other information of the charging devices, and the charging modes are divided according to different charging time lengths and comprise slow charging and fast charging.

[0152] Optionally, the second obtaining unit 404 comprises:

[0153] The first obtaining module 4041 is configured to obtain actual travel information of the target electric vehicle before the first charging time node.

[0154] The judging module 4042 is configured to judge whether the actual travel information of the target electric vehicle is similar to the travel arrangement information, the similarity indicating that a position of the target electric vehicle and a position in the travel arrangement information deviate within a preset distance, and the target electric vehicle still needs to be charged near the first charging time node.

[0155] The second obtaining module 4043 is configured to obtain related information of charging devices within a preset range of the target electric vehicle if the actual travel information of the target electric vehicle is similar to the travel arrangement information.

[0156] The updating module 4044 is configured to update the first charging time node according to the actual travel information of the user if the actual travel information of the target electric vehicle is not similar to the travel arrangement information.

[0157] The third obtaining module 4045 is configured to obtain related information of charging devices within a preset range of the target electric vehicle according to a position of the target electric vehicle at the updated first charging time node.

[0158] The calculating unit 405 is configured to calculate a post-charging electric quantity according to the related information, the post-charging electric quantity being an electric quantity obtained by removing consumed electric quantity from a sum of a current electric quantity and a charging electric quantity.

[0159] Optionally, the calculating unit 405 comprises:

[0160] The first calculating module 4051 is configured to calculate a time length and consumed electric quantity required for charging round trip according to position information of the charging device and position information of the target electric vehicle.

[0161] The second calculating module 4052 is configured to calculate an actual charging time length according to the time length required for charging round trip, an expected waiting time length and an unused vehicle time period.

[0162] The third calculating module 4053 is configured to calculate the charging electric quantity according to the actual charging time length and a charging mode.

[0163] The fourth calculating module 4054 is configured to calculate the post-charging electric quantity according to the current electric quantity, the charging electric quantity and the consumed electric quantity.

[0164] The second determining unit 406 is configured to determine a charging device with the highest post-charging electric quantity as a target charging device.

[0165] The charging unit 407 is configured to start an automatic driving mode at the first charging time node, and drive to the target charging device to charge.

[0166] Optionally, the apparatus further comprises:

[0167] The third determining unit 408 is configured to, if the charging needs to continue after the charging is completed at the first charging time node, take a time node closest to the first charging time node in the charging time node set as a second charging time node.

[0168] The searching unit 409 is configured to search for a charging device with the highest post-charging power at the second charging time node to continue charging.

[0169] In the embodiment, first, the travel schedule information of the user is acquired, the distance to be traveled by the target electric vehicle is calculated according to the travel location information, the power required is calculated according to the distance, and it is judged whether the charging needs to be performed according to the power and the initial power of the target electric vehicle. If the charging needs to be performed, the unused vehicle time period set greater than the preset time length is determined according to the travel schedule information, the time node at which the unused vehicle time period starts is determined as the charging time node set, the earliest time node in the charging time node set is taken as the first charging time node, the actual travel information is acquired before the first charging time node, and it is judged whether the actual travel information is similar to the travel schedule information. The similarity refers to that the actual location of the target electric vehicle is within the preset distance from the location in the travel schedule information, and the target electric vehicle still needs to be charged near the first charging time node. If the actual travel information is similar to the travel schedule information, the related information of the charging device within the preset range of the target electric vehicle is acquired. If the actual travel information is not similar to the travel schedule information, the first charging time node is updated according to the actual travel information of the user. The related information of the charging device within the preset range of the target electric vehicle is acquired according to the location information of the charging device and the location information of the target electric vehicle. The time length and the consumed power required for charging and returning are calculated according to the location information of the charging device and the location information of the target electric vehicle. The actual charging time length is calculated according to the time length required for charging and returning, the predicted waiting time length and the unused vehicle time period. The charging power is calculated according to the actual charging time length and the charging mode. The post-charging power is calculated according to the current power, the charging power and the consumed power. The charging device with the highest post-charging power is determined as the target charging device. Finally, the automatic driving mode is started at the first charging time node, and the target charging device is traveled to for charging. If the charging needs to continue after the charging is completed at the first charging time node, the time node closest to the first charging time node in the charging time node set is taken as the second charging time node. The charging device with the highest post-charging power is searched for to continue charging at the second charging time node.

[0170] In the application, the unused vehicle time period is selected according to the travel schedule of the user, the vehicle automatically travels to the charging device for charging, the user does not need to wait, the time of the user is saved, and the travel of the user is facilitated.

[0171] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the foregoing method embodiments, which will not be repeated here.

[0172] In several embodiments provided in the present application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic, for example, the division of the units is only a logical function division, and actual implementation can have another division manner, for example, a plurality of units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the coupling or direct coupling or communication connection between the units shown or discussed can be indirect coupling or communication connection through some interface, device or unit, and can be electrical, mechanical or other forms.

[0173] The units described as separate components can or can not be physically separated, and the components shown as units can or can not be physical units, that is, they can be located in one place, or can be distributed on a plurality of network units. Part or all of the units can be selected according to actual needs to achieve the purpose of the embodiment scheme.

[0174] In addition, each functional unit in each embodiment of the present application can be integrated in one processing unit, or each unit can be physically present separately, or two or more units can be integrated in one unit. The integrated unit can be realized in the form of hardware or in the form of a software functional unit.

[0175] The integrated unit, if realized in the form of a software functional unit and sold or used as an independent product, can be stored in a computer readable storage medium. Based on this understanding, the technical solutions of the present application essentially or the part that contributes to the prior art or the whole or part of the technical solutions can be embodied in the form of a software product. The computer software product is stored in a storage medium, including a plurality of instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the method described in each embodiment of the present application. The foregoing storage medium includes: a U disk, a mobile hard disk, a read-only memory (ROM, read-only memory), a random access memory (RAM, random access memory), a magnetic disk or an optical disk, and various program code storage media.

Claims

1. A method for intelligent charging, characterized in that, include: The system obtains the user's trip information and the initial battery level of the target electric vehicle. The trip information includes the user's vehicle usage time, non-vehicle usage time, and trip location information. Determine whether charging is required based on the trip schedule information and the initial battery level of the target electric vehicle; If charging is required, the first charging time node is determined based on the period of inactivity. Before the first charging time node, based on the location information of the target electric vehicle, relevant information of the charging equipment within a preset range of the target electric vehicle is obtained. The relevant information includes the charging method, location information, and estimated waiting time of the charging equipment. The charging method refers to slow charging or fast charging, which are divided according to different charging times. The amount of electricity after charging is calculated based on the relevant information. The amount of electricity after charging is the sum of the current amount of electricity and the amount of electricity to be charged, minus the amount of electricity consumed during the round trip for charging. The target charging device is the one that generates the highest amount of electricity after charging. At the first charging time point, the autonomous driving mode is activated, and the vehicle drives to the target charging device for charging. Before the first charging time point, based on the location of the target electric vehicle, obtain relevant information about the charging equipment within a preset range of the target electric vehicle, including: Obtain actual trip information before the first charging time point; The system determines whether the actual trip information is similar to the trip arrangement information. Similarity means that the actual location of the target electric vehicle deviates from the location in the trip arrangement information by a preset distance, and the target electric vehicle still needs to be charged near the first charging time node. If similar, then obtain relevant information about charging devices within a preset range of the target electric vehicle.

2. The method according to claim 1, characterized in that, Determining whether charging is needed based on the trip schedule information and the initial battery level of the target electric vehicle includes: The distance the target electric vehicle needs to travel is calculated based on the travel location information; Calculate the required electricity based on the distance traveled; Whether charging is required is determined based on the stated battery level and the initial battery level of the target electric vehicle.

3. The method according to claim 1, characterized in that, If charging is required, the first charging time node is determined based on the aforementioned trip schedule information, including: If charging is required, a set of unused time periods longer than a preset duration is determined based on the unused time periods. The starting point of the period when the vehicle is not in use is determined as the set of charging time points; The earliest time node in the set of charging time nodes is taken as the first charging time node.

4. The method according to claim 1, characterized in that, Determining whether the actual location of the target electric vehicle is similar to the location in the trip planning information also includes: If they are not similar, the first charging time point will be updated based on the user's actual travel information; Based on the location of the target electric vehicle at the updated first charging time node, relevant information about the charging equipment within a preset range of the target electric vehicle is obtained.

5. The method according to any one of claims 1 to 4, characterized in that, Calculate the remaining charge based on the aforementioned information, including: The time required for a round trip to charge and the amount of electricity consumed are calculated based on the location information of the charging equipment and the location information of the target electric vehicle. The actual charging time is calculated based on the time required for the round trip to charging, the estimated waiting time, and the period of inactivity. The charging capacity is calculated based on the actual charging time and the charging method. The remaining power after charging is calculated based on the current power level, the charging power level, and the power consumed.

6. The method according to any one of claims 1 to 4, characterized in that, After activating autonomous driving mode at the first charging time point and driving to the target charging device for charging, the process further includes: If charging is still required after the first charging time node is completed, then the time node in the set of charging time nodes that is closest to the first charging time node is taken as the second charging time node. At the second charging time point, find the charging device with the highest remaining charge after charging and continue charging.

7. An intelligent charging device, characterized in that, include: The first acquisition unit is used to acquire the user's travel arrangement information, which includes the user's vehicle usage time period, non-vehicle usage time period and travel location information. The judgment unit is used to determine whether charging is required based on the initial battery level of the target electric vehicle and the trip arrangement information; The first determining unit is used to determine a first charging time node based on the period of non-use if charging is required. The second acquisition unit is used to acquire relevant information of the charging equipment within a preset range of the target electric vehicle based on the location information of the target electric vehicle before the first charging time node. The relevant information includes the charging method, location information, and estimated waiting time of the charging equipment. The charging method refers to slow charging or fast charging, which are divided according to different charging times. The second acquisition unit includes: The first acquisition module is used to acquire the actual travel information of the target electric vehicle before the first charging time node; The judgment module is used to determine whether the actual travel information of the target electric vehicle is similar to the travel schedule information. Similarity means that the deviation between the actual position of the target electric vehicle and the position in the travel schedule information is within a preset distance, and the target electric vehicle still needs to be charged near the first charging time node. The second acquisition module is used to acquire relevant information about charging devices within a preset range of the target electric vehicle if similarity is found. The calculation unit is used to calculate the charge after charging based on the relevant information. The charge after charging is the sum of the current charge and the charge, minus the charge consumed during the round trip. The second determining unit is used to determine the charging device with the highest charge after charging as the target charging device. The charging unit is used to activate the autonomous driving mode at the first charging time point and drive to the target charging device for charging.

8. The apparatus according to claim 7, characterized in that, The judgment unit includes: The first calculation module is used to calculate the distance that the target electric vehicle needs to travel based on the travel location information; The second calculation module is used to calculate the required electricity based on the distance traveled; The judgment module is used to determine whether charging is required based on the battery level and the initial battery level of the target electric vehicle.

9. A computer-readable storage medium having a program stored thereon, the program performing the intelligent charging method as described in any one of claims 1 to 6 when executed on a computer.

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