CN115593265B - Method and device for predicting charging duration, computer equipment and storage medium - Google Patents
Method and device for predicting charging duration, computer equipment and storage medium Download PDFInfo
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- CN115593265B CN115593265B CN202211145373.9A CN202211145373A CN115593265B CN 115593265 B CN115593265 B CN 115593265B CN 202211145373 A CN202211145373 A CN 202211145373A CN 115593265 B CN115593265 B CN 115593265B
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L53/00—Methods of charging batteries, specially adapted for electric vehicles; Charging stations or on-board charging equipment therefor; Exchange of energy storage elements in electric vehicles
- B60L53/60—Monitoring or controlling charging stations
- B60L53/66—Data transfer between charging stations and vehicles
- B60L53/665—Methods related to measuring, billing or payment
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T10/00—Road transport of goods or passengers
- Y02T10/60—Other road transportation technologies with climate change mitigation effect
- Y02T10/70—Energy storage systems for electromobility, e.g. batteries
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T10/00—Road transport of goods or passengers
- Y02T10/60—Other road transportation technologies with climate change mitigation effect
- Y02T10/7072—Electromobility specific charging systems or methods for batteries, ultracapacitors, supercapacitors or double-layer capacitors
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T90/00—Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
- Y02T90/10—Technologies relating to charging of electric vehicles
- Y02T90/12—Electric charging stations
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- Charge And Discharge Circuits For Batteries Or The Like (AREA)
Abstract
The application discloses a method, a device, computer equipment and a storage medium for predicting charging duration. The method predicts the request by receiving the duration; the duration prediction request comprises the current electric quantity and the target electric quantity; determining a predicted charging duration based on a corresponding relation between the electric quantity and the charging duration, which are obtained in advance or in real time, and the duration prediction request; the corresponding relation comprises charging time periods required by the vehicle to be charged to different termination electric quantities under different initial electric quantities. The charging time length required by the vehicle to charge to different termination electric quantity under different initial electric quantity is accurately determined through the charging burial point data of the vehicle at different moments, and further the charging time length can be accurately predicted based on the time length prediction request.
Description
Technical Field
The present disclosure relates to the field of vehicle control technologies, and in particular, to a method and apparatus for predicting a charging duration, a computer device, and a storage medium.
Background
For new energy vehicles, charging is the primary way of energy replenishment. But in the charging process of the new energy vehicle, the vehicle and the charging pile are connected through wires only, and data cannot be transmitted mutually, so that the vehicle cannot acquire charging related data of the charging pile, and the charging duration cannot be analyzed, and further research and development of the new energy vehicle are hindered to some extent. Usually, research and development personnel carry out logic judgment through hardware equipment to decompose and accumulate the charging time length so as to acquire the charging time length of the vehicle, but the estimation method in the mode is single and has the problem of accuracy.
Disclosure of Invention
In view of the above problems, the present application proposes a method, an apparatus, a computer device, and a storage medium for predicting a charging duration, so as to implement accurate prediction of the charging duration of a vehicle in different electric quantity states.
In a first aspect, an embodiment of the present application provides a method for predicting a charging duration, where the method includes: receiving a duration prediction request; the duration prediction request comprises the current electric quantity and the target electric quantity; determining a predicted charging duration based on a corresponding relation between the electric quantity and the charging duration, which are obtained in advance or in real time, and the duration prediction request; the corresponding relation comprises charging time periods required by the vehicle to be charged to different termination electric quantities under different initial electric quantities.
In a second aspect, an embodiment of the present application provides a device for predicting a charging duration, where the device includes: the system comprises a request receiving module and a time length prediction module, wherein the request receiving module is used for receiving a time length prediction request; the duration prediction request comprises the current electric quantity and the target electric quantity; the duration prediction module is used for determining a predicted charging duration based on a corresponding relation between the electric quantity and the charging duration, which are obtained in advance or in real time, and the duration prediction request; the corresponding relation comprises charging time periods required by the vehicle to be charged to different termination electric quantities under different initial electric quantities.
In a third aspect, embodiments of the present application provide a computer device, including: one or more processors; a memory; one or more applications, wherein the one or more applications are stored in the memory and configured to be executed by the one or more processors, the one or more applications configured to perform the method of predicting a charge duration provided in the first aspect above.
In a fourth aspect, embodiments of the present application provide a computer readable storage medium having stored therein program code that is callable by a processor to perform the method of predicting a charge duration provided in the first aspect above.
According to the scheme, a duration prediction request is received; the duration prediction request comprises the current electric quantity and the target electric quantity; determining a predicted charging duration based on a corresponding relation between the electric quantity and the charging duration, which are obtained in advance or in real time, and the duration prediction request; the corresponding relation comprises charging time periods required by the vehicle to be charged to different termination electric quantities under different initial electric quantities. The charging time length required by the vehicle to charge to different termination electric quantity under different initial electric quantity is accurately determined through the charging burial point data of the vehicle at different moments, and further the charging time length can be accurately predicted based on the time length prediction request.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the description of the embodiments will be briefly introduced below, it being obvious that the drawings in the following description are only some embodiments of the present application, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 shows an application scenario diagram of a method for predicting charging duration according to an embodiment of the present application.
Fig. 2 is a flow chart of a method for predicting a charging duration according to an embodiment of the present application.
Fig. 3 is a flow chart illustrating a method for predicting a charging duration according to another embodiment of the present application.
Fig. 4 is a schematic flowchart of step S230 in another embodiment of the present application.
Fig. 5 shows a block diagram of a structure of a device for predicting a charging duration provided in an embodiment of the present application.
Fig. 6 shows a block diagram of a computer device according to an embodiment of the present application.
Fig. 7 shows a block diagram of a computer-readable storage medium according to an embodiment of the present application.
Detailed Description
In order to enable those skilled in the art to better understand the present application, the following description will make clear and complete descriptions of the technical solutions in the embodiments of the present application with reference to the accompanying drawings in the embodiments of the present application.
The inventor provides the prediction method, the device, the computer equipment and the storage medium for the charging duration, which are provided by the embodiment of the application, and the charging duration required by the vehicle to be charged to different termination electric quantity under different initial electric quantity is accurately determined through the charging buried point data of the vehicle at different moments, so that the charging duration can be accurately predicted based on the duration prediction request. The specific method for predicting the charging duration is described in detail in the following embodiments.
The following describes an application scenario of the method for predicting the charging duration provided in the embodiment of the present application.
Referring to fig. 1, the method for predicting charging duration provided in the embodiments of the present application is applied to a computer device 300, where the computer device 300 may be a server device such as a physical server or a cloud server, or may be a terminal device with a certain computing capability in a vehicle, and the computer device 300 may be connected to multiple vehicles 100 to obtain charging embedded point data of the multiple vehicles 100. Each vehicle 100 may pre-embed the charging embedded point data such as the charging state, the charging gun state, the current electric quantity, etc. at the current time, and each vehicle 100 may send the charging embedded point data to the computer device 300 once every fixed time period. After receiving the charging burial point data of the plurality of vehicles 100, the computer device 300 can analyze the charging burial point data, comprehensively judge the starting time and the ending time of each charging of the vehicles 100 based on the charging state and the charging gun state in the charging burial point data, and determine the charging data corresponding to each charging of each vehicle 100, thereby obtaining the corresponding relation of the charging time length for representing the charging of the vehicles 100 to different ending electric quantities under different starting electric quantities, and further realizing the effect of accurately predicting the charging time length of the vehicles 100 based on the time length prediction request.
The method for predicting the charging duration provided in the embodiment of the present application will be specifically described below with reference to the accompanying drawings.
Referring to fig. 2, fig. 2 is a schematic flow chart of a method for predicting a charging duration according to an embodiment of the present application, and the method for predicting a charging duration will be described in detail below with respect to the flow chart shown in fig. 2, where the method specifically includes the following steps:
step S110: receiving a duration prediction request; the duration prediction request includes a current power level and a target power level.
Step S120: determining a predicted charging duration based on a corresponding relation between the electric quantity and the charging duration, which are obtained in advance or in real time, and the duration prediction request; the corresponding relation comprises charging time periods required by the vehicle to be charged to different termination electric quantities under different initial electric quantities.
In the embodiment of the application, the computer device may obtain a corresponding relationship between the electric quantity and the charging duration, that is, a corresponding relationship between the charging duration required by the vehicle to charge from different initial electric quantities to different final electric quantities, and under the condition that the corresponding relationship between the electric quantity and the charging duration is known, the computer device may respond to the duration prediction request to obtain the current electric quantity and the target electric quantity carried in the duration prediction request, so as to predict the predicted charging duration required by the vehicle to charge from the current electric quantity to the target electric quantity. The corresponding relation between the electric quantity and the charging time length obtained by the computer equipment can be obtained in real time after the time length prediction request is received, or can be obtained in advance before the time length prediction request. It can be understood that the current electric quantity in the duration prediction request refers to the current electric quantity of the vehicle sending the duration prediction request, and the target electric quantity also refers to the target electric quantity required by the vehicle sending the duration prediction request to charge; the corresponding relation between the electric quantity and the charging time length obtained by the computer equipment is suitable for all vehicles of the same model under the general condition. Specifically, the correspondence relationship includes a plurality of charging combinations of different initial electric amounts and different final electric amounts, and a charging duration of the vehicle from the initial electric amount to the final electric amount in each charging combination. The computer device can find a charging combination matched with the current electric quantity carried by the duration prediction request and the target electric quantity in the corresponding relation, so as to obtain the predicted charging duration.
For example, the corresponding relationship may include a charging combination with an initial charge of 20% and an end charge of 80%, and the corresponding relationship also includes a charging duration corresponding to the charging combination, where it is assumed that the charging duration is 50 minutes, which indicates that it takes 50 minutes for the vehicle to charge from 20% to 80% of the charge.
In some embodiments, the initial electric quantity matched with the current electric quantity and the final electric quantity matched with the target electric quantity are searched in the corresponding relation, and the charging duration corresponding to the initial electric quantity and the final electric quantity is used as the predicted charging duration.
Specifically, the computer device responds to the duration prediction request, the current electric quantity carried in the duration prediction request can be matched with each initial electric quantity in the corresponding relation, the target electric quantity can be matched with each final electric quantity in the corresponding relation, the target initial electric quantity matched with the current electric quantity and the target final electric quantity matched with the target electric quantity can be obtained, and further the charging duration corresponding to the target initial electric quantity and the target final electric quantity is used as the predicted charging duration of the vehicle.
It can be understood that the initial electric quantity and the final electric quantity in the corresponding relationship cannot completely cover all electric quantity values possibly existing in the running process of the vehicle, that is, the initial electric quantity and the final electric quantity which are completely the same as the current electric quantity and the target electric quantity carried by the duration preset request may not exist in the corresponding relationship. Therefore, in some embodiments, when determining the predicted charging duration based on the correspondence, the computer device may reserve a matching error threshold of a certain size, so as to ensure that the current electric quantity and the target electric quantity of any size can both find the corresponding initial electric quantity and the corresponding termination electric quantity in the correspondence. For example, if the absolute value of the difference between the current electric quantity and the target initial electric quantity in the corresponding relationship is smaller than the first preset range, and meanwhile, the absolute value of the difference between the target electric quantity and the target final electric quantity in the corresponding relationship is smaller than the second preset range, the computer device may use the charging duration corresponding to the target initial electric quantity and the target final electric quantity as the predicted charging duration.
In some embodiments, the computer device may feedback the predicted charge duration after determining the predicted charge duration of the vehicle in response to the duration prediction request. In some embodiments, the computer device may feed back the predicted charging duration to the user terminal, or may display the predicted charging duration on a vehicle screen of the charging vehicle, and the specific feedback manner may not be limited herein.
In some embodiments, the obtaining the correspondence relationship includes: acquiring charging buried point data, wherein the charging buried point data comprise charging states of a plurality of vehicles at different moments, charging gun states and current electric quantity; and determining a corresponding relation based on the charging buried point data.
Specifically, the computer device may determine the correspondence of the amount of power to the charging duration by acquiring the charging burial point data in advance before responding to the duration expectation request. The computer equipment can determine corresponding parameters in each charging process of the vehicle, namely initial electric quantity, terminal electric quantity and charging duration corresponding to each charging of the vehicle based on a plurality of charging embedded point data corresponding to each vehicle, so that the computer equipment can obtain different related parameters in the multiple charging processes of the multiple vehicles based on different charging embedded point data of the multiple vehicles, and further can obtain the corresponding relation between the electric quantity and the charging duration based on a large number of related parameters corresponding to the charging processes.
The charging burial point data refer to parameters such as a charging state of the vehicle at a certain moment, a charging gun state, a current electric quantity and the like, wherein the charging state is used for representing that the battery pack of the vehicle is in a charging state or in a non-charging state currently, and in some embodiments, the charging state of the battery pack can be judged through the current in the battery pack; the charging gun state is used for representing whether the vehicle is connected with the charging gun at the current moment, and comprises a connection state and a disconnection state, and in some embodiments, whether the charging gun is in the connection state can be judged through the current magnitude of the connection part of the vehicle and the charging gun; the current electric quantity in the charging buried point data is used for representing the electric quantity of the battery pack of the vehicle at the current moment so as to assist the computer equipment in judging the charging process of the vehicle each time. It is understood that even if the charging gun is connected to the vehicle, the vehicle is not necessarily in the charged state at this time, and in some cases, the vehicle may determine whether to enter the charged state based on the charging operation of the user or the current remaining power. Therefore, when determining the corresponding parameters corresponding to each charging process of the vehicle, the computer device needs to consider not only the charging gun state of the vehicle but also the charging state of the vehicle, and therefore, the charging burial point data acquired by the computer device comprises the charging state and the charging gun state.
In some embodiments, after determining the correspondence based on the charging burial point data of the vehicle, the computer device may send the correspondence to all vehicle terminals, and each vehicle terminal may respond to different time length prediction requests of different users, and obtain a corresponding predicted charging duration based on the correspondence. In other embodiments, the computer device may further receive a duration prediction request sent by each vehicle terminal, determine a predicted charging duration of the vehicle based on a pre-obtained correspondence, and then feed back the predicted charging duration to the vehicle terminal. That is, the execution subject that determines the predicted charging time period corresponding to the vehicle may be a computer device, or may be a vehicle terminal device, which may not be limited herein.
In some embodiments, the charging point data may further include parameters such as a vehicle ID and a time stamp to assist the computer device in determining the attribution of the charging point data and the time of the charging point data acquisition.
In some embodiments, the charging embedded point data acquired by the computer device may be charging embedded point data of a plurality of vehicles of the same target vehicle type, so that the computer device may determine a corresponding relationship between the electric quantity of the vehicle of the target vehicle type and the charging duration based on the embedded point data of the target vehicle type. In other embodiments, the computer device may also obtain charging point data corresponding to vehicles of multiple different types, where the computer device may classify all the charging point data according to different types of vehicles, and determine a corresponding relationship corresponding to the vehicle of the target type based on the charging point data of all the vehicles of the same target type, that is, may obtain different corresponding relationships corresponding to multiple types of vehicles, respectively. It can be understood that the battery parameters and the charging efficiency corresponding to different vehicle types may be different, and the corresponding relationship between the electric quantity and the charging duration of the vehicle may be different, so that the computer device may classify all the charging burial points based on the vehicle types of the vehicle, and obtain the corresponding relationship of each vehicle type respectively.
In some embodiments, each vehicle may send its own charging point data at the current time to a corresponding computer device every 1 second, where the computer device may obtain charging point data of a plurality of vehicles at different times, so as to obtain a correspondence between an electric quantity of the vehicle and a charging duration based on the charging point data.
According to the method for predicting the charging duration, provided by the embodiment of the application, a duration prediction request is received; the duration prediction request comprises the current electric quantity and the target electric quantity; determining a predicted charging duration based on a corresponding relation between the electric quantity and the charging duration, which are obtained in advance or in real time, and the duration prediction request; the corresponding relation comprises charging time periods required by the vehicle to be charged to different termination electric quantities under different initial electric quantities. The charging time length required by the vehicle to charge to different termination electric quantity under different initial electric quantity is accurately determined through the charging burial point data of the vehicle at different moments, and further the charging time length can be accurately predicted based on the time length prediction request.
Referring to fig. 3, fig. 3 is a schematic flow chart of a method for predicting a charging duration according to another embodiment of the present application, and the method for predicting a charging duration will be described in detail below with respect to the flow chart shown in fig. 3, where the method specifically includes the following steps:
Step S210: and acquiring charging burial point data, wherein the charging burial point data comprises charging states of a plurality of vehicles at different moments, charging gun states and current electric quantity.
In this embodiment of the present application, step S210 may refer to the content of other embodiments, which is not described herein.
Step S220: and arranging all the charging burial points of each vehicle according to the time sequence.
In this embodiment of the present application, after a large amount of charging burial point data of a plurality of vehicles is acquired by a computer device, all the charging burial point data may be classified according to the vehicles, that is, all the charging burial point data corresponding to each vehicle is determined, and all the charging burial point data of each vehicle is further arranged according to a time sequence, so as to determine charging data of each charging of the vehicles. Specifically, each piece of charging embedded point data acquired by the computer equipment not only comprises the charging state, the charging gun state and the current electric quantity of the vehicle, but also can comprise ID data of the vehicle and a time stamp for acquiring the charging embedded point data by the computer equipment, so that the computer equipment can classify the charging embedded point data of a plurality of vehicles based on the ID of the vehicle, and can arrange all the charging embedded point data of each vehicle according to time sequence based on the time stamp corresponding to each charging embedded point data.
Step S230: and determining charging data of each vehicle in each charging based on the charging gun state and the charging state between adjacent charging burial points in the corresponding arrangement result of each vehicle, wherein the charging data comprises initial electric quantity, ending electric quantity and charging duration.
In this embodiment of the present application, after arranging all the charging burial points corresponding to each vehicle according to the time sequence, the computer device may determine, according to the adjacent charging burial points after arrangement, a starting power amount, a terminating power amount, and a charging duration required for charging from the starting power amount to the terminating power amount for each charging of the vehicle. That is, the computer device may determine the charging data corresponding to each charging action of the vehicle based on all the charging burial points of the same vehicle arranged in time sequence, and according to the change characteristics of the parameters such as the charging state, the charging gun state, and the current electric quantity between the adjacent burial points.
In some embodiments, as shown in fig. 4, the method of determining the charging data of each vehicle per charging in step S230 may be implemented by:
step S231: and determining the starting time, the starting electric quantity, the ending time and the ending electric quantity of each charging of each vehicle based on the charging gun state and the charging state between adjacent charging burial points in the corresponding arrangement result of each vehicle.
In the embodiment of the application, after all the charging burial point data of each vehicle are arranged according to the time sequence, the computer equipment can obtain the charging burial point data corresponding to each time of starting charging and ending charging of the vehicle based on the change relation of the charging state and the charging gun state between two adjacent charging burial points. For example, if the state of charge between two adjacent pieces of charging point data is changed from the state of charge to the uncharged state, the computer device may determine that the state of charge of the vehicle has changed once between the time points respectively corresponding to the two adjacent pieces of charging point data and is changed from the state of charge to the uncharged state, and thus the computer device may use the timestamp corresponding to the previous piece of charging point data in the two adjacent pieces of charging point data as the termination time of the vehicle primary charging data and the current electric quantity corresponding to the previous piece of charging point data as the termination electric quantity of the vehicle primary charging data. Thus, the computer device can determine the start time, the end time, the start power, and the end power of each charging of the vehicle based on the arrangement result of the all-charging-burial data of each vehicle by the time stamp.
In some embodiments, the method for determining the starting time, the starting electric quantity, the ending time and the ending electric quantity of each charging of each vehicle based on the state of the charging gun and the state of the charging between adjacent charging burial points in the arrangement result corresponding to each vehicle may further be determined by the following steps:
taking the charge buried point data of two adjacent times in the arrangement result corresponding to each vehicle as one group of data to obtain a plurality of groups of data corresponding to each vehicle; from a plurality of sets of data corresponding to each vehicle, determining first target set data of which the charging state and the charging gun state meet a first change condition, and determining second target set data of which the charging state and the charging gun state meet a second change condition; acquiring a moment corresponding to buried point data of the last charge in the first target group data as a starting moment of the first charge, and acquiring a current electric quantity corresponding to the buried point data of the last charge in the first target group data as a starting electric quantity of the first charge; and acquiring the moment corresponding to the buried point data of the previous charge in the second target group data as the termination moment of the primary charge, and the current electric quantity corresponding to the buried point data of the previous charge in the second target group data as the termination electric quantity of the primary charge.
In this embodiment of the present application, in order to facilitate determining the start time and the end time of each charging of the vehicle, the computer device may use, as a set of data, each two adjacent charging burial points after arranging all the charging burial points corresponding to each vehicle according to the time stamps. It should be noted that all two adjacent charging point data are taken as one set of data, that means, the same charging point data may be respectively located in two sets of data, for example, if the computer device obtains 100 pieces of charging point data of the target vehicle in total, 99 sets of data may be obtained after being arranged in time. After obtaining the plurality of sets of data corresponding to each vehicle, the computer device can determine all the first target set of data and the second target set of data in the plurality of sets of data based on the change relation of the charging states and the change relation of the charging gun states between two adjacent charging burial points in each set of data. The first target group data refers to a data group capable of representing that the vehicle starts to charge, and the second target group data refers to a data group capable of representing that the vehicle ends to charge.
Specifically, the computer device uses the first target group data as a data group for representing that the vehicle starts to charge, and the parameter change relation between two charging burial point data in the first target group data meets a first change condition, namely, the charging states of the two charging burial point data are converted from an uncharged state to a charging state, and meanwhile, the charging gun states corresponding to the charging burial point data at the later moment in the two charging burial point data are connected. All data sets satisfying the above-described variation conditions can be regarded as first target group data. Similarly, if the change relation between the charging state and the charging gun state in any data set satisfies the second change condition, the data set can be used as a second target data set for representing that the vehicle finishes charging. The second transformation condition may be that the charging states of two charging embedded point data in the data set are converted from the charging states to the uncharged states, and meanwhile, the charging gun states corresponding to the charging embedded point data at the previous moment in the two charging embedded point data are connected states.
It will be appreciated that if a set of data is determined to be the first target set of data, then the state of the charging gun corresponding to the charging burial point data at a later time in the set of data must be the connected state, so that the vehicle may be charged. However, the state of the charging gun of the charging embedded point data at the previous moment in the set of data may not be limited, that is, the state of the charging gun of the charging embedded point data at the previous moment may be a connection state, which indicates that the circuit connection between the vehicle and the charging pile has been established, but the vehicle has not yet started to be charged, and the charging state of the charging embedded point data at the next moment changes, so that the vehicle starts to be charged. Of course, the state of the charging gun of the charging embedded point data at the previous moment can also be in a disconnection state, which indicates that the circuit connection between the vehicle and the charging pile is not established at the moment, and the state of the charging gun and the charging state are simultaneously changed in the charging embedded point data at the next moment, so that the vehicle starts to charge. The charging gun state of the charging buried point data at the previous moment in the first target group data has negligible influence on the charging state data of the vehicle.
Similarly, if one set of data is determined as the second target set of data, the state of the charging gun corresponding to the charging embedded data at the previous time in the set of data must be the connection state, so that the vehicle can end charging between the times corresponding to the two charging embedded data. However, the state of the charging gun of the charging buried point data at the later time in the set of data may not be limited, that is, the state of the charging gun at the later time may be an off state, that is, the charging gun is disconnected from the circuit of the vehicle along with the end charging of the vehicle, and the state of the charging gun at the later time may also be a connection state, that is, the circuit connection between the vehicle and the charging pile is not disconnected along with the end charging of the vehicle. The charging gun state of the charging buried point data at the later time in the second target group data has a negligible effect on the charging state data of the vehicle.
In this embodiment of the present application, when determining all the first target group data representing that the vehicle starts to charge, the computer device may use, according to a determination criterion of the first target group data, a time corresponding to the last-time charging buried data in the first target group data as a starting time of the first charging, and use a current electric quantity corresponding to the last-time charging buried data as a starting electric quantity of the first charging. It can be understood that, if in the set of charging embedded point data, the charging state is converted from the uncharged state to the charged state, and the charging gun state of the charging embedded point data at the next moment is the connection state, the computer device may consider the set of data as the first target set of data representing that the vehicle starts to charge, and then the computer device may use the moment corresponding to the charging embedded point data at the next moment in the first target set of data as the starting moment of primary charging, and use the current electric quantity at the next moment as the starting electric quantity of primary charging. Thus, the computer device can acquire all data of the charging burial point data each time the vehicle starts charging.
In this embodiment of the present application, after determining all the second target group data characterizing that the vehicle finishes charging, the computer device may further use, according to a determination criterion of the second target group data, a time corresponding to the last-time charging buried point data in the second target group data as a termination time of the primary charging, and use the current electric quantity corresponding to the last time as a termination electric quantity of the primary charging. It can be understood that, if in the set of charging embedded point data, the charging state is converted from the charging state to the uncharged state, and the charging gun state at the previous moment is the connection state, the computer device may consider the set of data as second target set data representing that the vehicle finishes charging, and then the computer device may take the moment corresponding to the charging embedded point data at the previous moment in the second target set data as the termination moment of primary charging, and the current electric quantity at the previous moment as the termination electric quantity of primary charging. Thus, the computer device can acquire all data of the vehicle at the end of each charging in the charging buried point data.
Step S232: and determining the charging duration of each charging of each vehicle based on the starting time and the ending time of each charging of each vehicle.
In this embodiment of the present application, after determining the start time, the start power, the end time, and the end power of each charging of each vehicle, the computer device may associate the charge buried point data corresponding to the start time and the end time respectively, that is, the start time and the end time of the same charging process of the vehicle are associated with the charge buried point data corresponding to the end time respectively, so as to determine the charging duration required by the charging of the vehicle, and determine the start time, the end time, the start power, and the end power corresponding to the charging of the vehicle based on the associated charge buried point data, that is, determine the charging data of each charging of the vehicle.
In some embodiments, the computer device may arrange the starting time and the ending time of all charges of the same vehicle in time sequence, and associate the charging buried point data corresponding to any starting time with the charging buried point data corresponding to the next nearest ending time, so that the two associated charging buried point data may characterize a charging process of the vehicle.
Step S240: and acquiring a time interval between two adjacent charges of each vehicle.
In the embodiment of the application, after the computer equipment determines the charging data of the vehicle in each charging, the charging data of the vehicle can be processed through the interval duration between two adjacent charging, so that the processed charging data can be more in line with the real charging condition of the vehicle. Specifically, the computer device may obtain a duration interval between two adjacent charges for each vehicle to determine whether the two adjacent charges may be combined into a single charge point based on the duration interval. The time interval between two adjacent charges refers to the time interval between the ending time of the previous charge and the starting time of the next charge.
Step S250: and if the time interval is smaller than the preset time interval, merging the charging data of the adjacent two times of charging into the charging data of one time of charging.
In this embodiment of the present application, if the duration interval between two adjacent charges is smaller than the preset duration, the computer device may consider that the two adjacent charges are actually the same charge, but in the charging process of the vehicle, the connection may be disconnected for a short time due to poor circuit contact between the charging pile and the vehicle or other reasons, so that the vehicle has a time interval in the middle of one charge. The computer device may combine these two charges into one charge. Specifically, the starting electric quantity and the starting time of the charging data at the previous time before the combination may be used as the starting electric quantity and the starting time of the charging data after the combination, and the ending electric quantity and the ending time of the charging data at the next time before the combination may be used as the ending electric quantity and the ending time of the charging data after the combination.
Step S260: and determining a plurality of groups of charging data based on the initial electric quantity and the final electric quantity of each vehicle during each charging, wherein the plurality of groups of charging data correspond to different initial electric quantity and final electric quantity.
In this embodiment of the present application, the charging data of each charging of each vehicle may be different, that is, the starting power and the ending power of each charging may be different, for different vehicles, the charging data of each charging may also be different, when the computer device obtains the correspondence between the power and the charging duration based on these different charging data, all the charging data of all the vehicles may be classified first to obtain multiple sets of charging data, and the starting power and the ending power in each charging data in each set of charging data are the same, so as to determine the correspondence between the power and the charging duration based on the classified multiple sets of charging data.
In some embodiments, the computer device may classify all the charging data according to the initial power and the final power corresponding to each corresponding relation in the corresponding relation, that is, after determining the initial power and the final power corresponding to each corresponding relation in the corresponding relation, the computer device groups all the charging data based on the initial power and the final power in the corresponding relation, so as to determine the charging duration corresponding to each corresponding relation based on a plurality of charging durations in each group of grouped charging data. For example, the computer device may determine the initial power and the final power of each corresponding relation in the corresponding relation in advance, and assuming that the initial power and the final power of one corresponding relation are 20% and 80%, the computer device may search the charging data matched with the initial power and matched with the final power in all the charging data, and if the computer device may search 30 matched charging data, the computer device may use the 30 charging data as a set of charging data, and determine the predicted charging duration corresponding to the corresponding relation in the corresponding relation based on the charging durations respectively corresponding to the 30 charging data. It should be understood that the matched charging data is not necessarily the same as the initial electric quantity of the corresponding relationship, or the same as the final electric quantity of the corresponding relationship, or the electric quantity difference is within a preset range, and the matching definition may not be specifically limited herein.
Step S270: and obtaining the charging time length corresponding to each group of charging data based on the charging time length corresponding to each group of charging data.
In the embodiment of the present application, the charging duration corresponding to each set of charging data, that is, the predicted charging duration represented by each corresponding relation in the corresponding relations. In some embodiments, the computer device may take an average value of the charging durations corresponding to all the charging state data corresponding to the target table entry, as the size of the charging duration represented by the target table entry.
Step S280: and generating the corresponding relation based on the initial electric quantity, the termination electric quantity and the charging duration corresponding to each group of charging data.
In the embodiment of the application, after determining the predicted charging duration represented by each corresponding relation in the corresponding relation based on the charging duration corresponding to each group of charging data, the computer device can obtain the corresponding relation capable of representing the charging duration required for charging from different initial electric quantity to different termination electric quantity. As shown in the following table, it shows one possible correspondence between the amount of electricity and the charging duration:
| 0 | 5 | 10 | … | |
| 0 | 10 | 25 | ||
| 5 | 15 | |||
| 10 | ||||
| … |
the accuracy of the charging duration table is 5%, the column terms represent different initial electric quantity, and the horizontal terms represent different final electric quantity. It will be appreciated that the ending charge of the vehicle charge must be greater than the starting charge, so that half of the entries in the table above are blank entries. As shown in the table, if the vehicle is charged from the initial charge amount to the final charge amount of 10%, the required charging period is 15 minutes.
Step S290: responding to a duration prediction request, and determining a predicted charging duration based on a corresponding relation between the electric quantity and the charging duration, the current electric quantity carried by the duration prediction request and a target electric quantity, wherein the corresponding relation comprises charging durations required by the vehicle to be charged to different termination electric quantities under different initial electric quantities.
In the embodiment of the present application, step S290 may refer to the content of other embodiments, which is not described herein.
According to the method for predicting the charging time length, after the charging burial point data of the vehicles are obtained, all the charging burial point data of each vehicle are arranged according to the time sequence, and the starting time, the ending time and the charging time length of each charging of each vehicle are determined based on the charging gun states and the charging states between the adjacent charging burial point data, so that the corresponding relation between the electric quantity and the charging time length is determined; acquiring a time length interval between two adjacent charges of each vehicle, and if the time length interval is smaller than a preset time length, merging the charging data of the two adjacent charges into charging data of one charge; and determining a plurality of groups of charging data based on the initial electric quantity and the final electric quantity of each vehicle when each vehicle is charged, wherein the plurality of groups of charging data correspond to different initial electric quantity and final electric quantity, obtaining the charging time length corresponding to each group of charging data based on the charging time length corresponding to each group of charging data, generating the corresponding relation between the electric quantity and the charging time length based on the initial electric quantity, the final electric quantity and the charging time length corresponding to each group of charging data, and further determining the predicted charging time length based on the corresponding relation and the current electric quantity and the target electric quantity carried by the time length prediction request in response to the time length prediction request. Therefore, the charging time length required by the vehicle to be charged to different termination electric quantity under different initial electric quantity is accurately determined through the charging burial point data of the vehicle at different moments, and further the charging time length can be accurately predicted based on the time length prediction request.
Referring to fig. 5, which is a block diagram illustrating a structure of a charging duration prediction apparatus 200 according to an embodiment of the present application, the charging duration prediction apparatus 200 includes: the request receiving module 210 and the long-term prediction module 220. Wherein, the request receiving module 210 is configured to receive a duration prediction request; the duration prediction request comprises the current electric quantity and the target electric quantity; the duration prediction module 220 is configured to determine a predicted charging duration based on a correspondence between a pre-obtained or real-time electric quantity and a charging duration, and the duration prediction request; the corresponding relation comprises charging time periods required by the vehicle to be charged to different termination electric quantities under different initial electric quantities.
As a possible implementation manner, the prediction apparatus 200 of the charging duration further includes a data acquisition module and a relationship acquisition module. The data acquisition module is used for acquiring charging burial point data, wherein the charging burial point data comprises charging states of a plurality of vehicles at different moments, charging gun states and current electric quantity; and the relation acquisition module is used for determining the corresponding relation based on the charging buried point data.
As one possible implementation manner, the relationship acquisition module includes: a data arrangement unit, a data determination unit and a relationship determination unit. The data arrangement unit is used for arranging all the charging buried points of each vehicle according to the time sequence; the data determining unit is used for determining charging data of each vehicle in each charging based on the charging gun state and the charging state between adjacent charging burial points in the corresponding arrangement result of each vehicle, wherein the charging data comprises initial electric quantity, termination electric quantity and charging duration; the relationship determination unit is configured to determine the correspondence relationship based on charging data of each of the vehicles per charging.
As a possible implementation, the relationship determination unit is further configured for the data determination component and the time length determination component. The data determining component is used for determining the starting time, the starting electric quantity, the ending time and the ending electric quantity of each charging of each vehicle based on the state of a charging gun and the state of charging between adjacent charging burial points in the arrangement result corresponding to each vehicle; the duration determining component is used for determining the charging duration of each vehicle each time based on the starting time and the ending time of each vehicle each time.
As a possible implementation manner, the data determining component is further configured to use the charging buried data of two adjacent times in the arrangement result corresponding to each vehicle as a set of data, so as to obtain multiple sets of data corresponding to each vehicle; from a plurality of sets of data corresponding to each vehicle, determining first target set data of which the charging state and the charging gun state meet a first change condition, and determining second target set data of which the charging state and the charging gun state meet a second change condition; acquiring a moment corresponding to buried point data of the last charge in the first target group data as a starting moment of the first charge, and acquiring a current electric quantity corresponding to the buried point data of the last charge in the first target group data as a starting electric quantity of the first charge; and acquiring the moment corresponding to the buried point data of the previous charge in the second target group data as the termination moment of the primary charge, and the current electric quantity corresponding to the buried point data of the previous charge in the second target group data as the termination electric quantity of the primary charge.
As a possible implementation manner, the relationship acquisition module further includes an interval determination unit and a data merging unit. The interval determining unit is used for obtaining the time interval between two adjacent charges of each vehicle; and the data merging unit is used for merging the charge state data of the adjacent two charges into the charge data of one charge if the time interval is smaller than the preset time.
As one possible implementation manner, the relation determining unit is further configured to determine a plurality of sets of charging data, where the plurality of sets of charging data correspond to different initial power amounts and different final power amounts, based on the initial power amounts and the final power amounts of each vehicle when being charged; obtaining the charging time length corresponding to each group of charging data based on the charging time length corresponding to each group of charging data; and generating a corresponding relation based on the initial electric quantity, the termination electric quantity and the charging duration corresponding to each group of charging data.
As a possible implementation manner, the duration prediction module 220 is further configured to search for a starting power amount matched with the current power amount and a terminating power amount matched with the target power amount in the corresponding relationship, where the charging duration corresponding to the starting power amount and the terminating power amount is used as the predicted charging duration.
It will be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working process of the apparatus and modules described above may refer to the corresponding process in the foregoing method embodiment, which is not repeated herein.
In several embodiments provided herein, the coupling of the modules to each other may be electrical, mechanical, or other.
In addition, each functional module in each embodiment of the present application may be integrated into one processing module, or each module may exist alone physically, or two or more modules may be integrated into one module. The integrated modules may be implemented in hardware or in software functional modules.
In summary, according to the scheme provided by the application, a duration prediction request is received; the duration prediction request comprises the current electric quantity and the target electric quantity; determining a predicted charging duration based on a corresponding relation between the electric quantity and the charging duration, which are obtained in advance or in real time, and the duration prediction request; the corresponding relation comprises charging time periods required by the vehicle to be charged to different termination electric quantities under different initial electric quantities. The charging time length required by the vehicle to charge to different termination electric quantity under different initial electric quantity is accurately determined through the charging burial point data of the vehicle at different moments, and further the charging time length can be accurately predicted based on the time length prediction request.
Referring to fig. 6, a block diagram of a computer device 300 according to an embodiment of the present application is shown. The computer device 300 may be a physical server, a cloud server, or the like. The computer device 300 in this application may include one or more of the following components: a processor 310, a memory 320, and one or more application programs, wherein the one or more application programs may be stored in the memory 320 and configured to be executed by the one or more processors 310, the one or more program(s) configured to perform the method as described in the foregoing method embodiments.
Processor 310 may include one or more processing cores. The processor 310 utilizes various interfaces and lines to connect various portions of the overall computer device, perform various functions of the computer device and process data by executing or executing instructions, programs, code sets, or instruction sets stored in the memory 320, and invoking data stored in the memory 320. Alternatively, the processor 310 may be implemented in hardware in at least one of digital signal processing (Digital Signal Processing, DSP), field programmable gate array (Field-Programmable Gate Array, FPGA), programmable logic array (Programmable Logic Array, PLA). The processor 310 may integrate one or a combination of several of a central processing unit (Central Processing Unit, CPU), a graphics processor (Graphics Processing Unit, GPU), and a modem, etc. The CPU mainly processes an operating system, a user interface, an application program and the like; the GPU is used for being responsible for rendering and drawing of display content; the modem is used to handle wireless communications. It will be appreciated that the modem may not be integrated into the processor 310 and may be implemented solely by a single communication chip.
The Memory 320 may include a random access Memory (Random Access Memory, RAM) or a Read-Only Memory (Read-Only Memory). Memory 320 may be used to store instructions, programs, code sets, or instruction sets. The memory 320 may include a stored program area and a stored data area, wherein the stored program area may store instructions for implementing an operating system, instructions for implementing at least one function (such as a touch function, a sound playing function, an image playing function, etc.), instructions for implementing the various method embodiments described below, etc. The storage data area may also store data created by the computer device in use (e.g., phonebook, audio-video data, chat-record data), etc.
Referring to fig. 7, a block diagram of a computer readable storage medium according to an embodiment of the present application is shown. The computer readable medium 800 has stored therein program code which can be invoked by a processor to perform the methods described in the method embodiments described above.
The computer readable storage medium 800 may be an electronic memory such as a flash memory, an EEPROM (electrically erasable programmable read only memory), an EPROM, a hard disk, or a ROM. Optionally, the computer readable storage medium 800 comprises a non-volatile computer readable medium (non-transitory computer-readable storage medium). The computer readable storage medium 800 has storage space for program code 810 that performs any of the method steps described above. The program code can be read from or written to one or more computer program products. Program code 810 may be compressed, for example, in a suitable form.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present application, and are not limiting thereof; although the present application has been described in detail with reference to the foregoing embodiments, one of ordinary skill in the art will appreciate that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not drive the essence of the corresponding technical solutions to depart from the spirit and scope of the technical solutions of the embodiments of the present application.
Claims (7)
1. A method for predicting a charging duration, the method comprising:
receiving a duration prediction request; the duration prediction request comprises the current electric quantity and the target electric quantity;
determining a predicted charging duration based on a corresponding relation between the electric quantity and the charging duration, which are obtained in advance or in real time, and the duration prediction request; the corresponding relation comprises charging time periods required by the vehicle to be charged to different termination electric quantities under different initial electric quantities;
the corresponding relation obtaining process comprises the following steps:
acquiring charging buried point data, wherein the charging buried point data comprise charging states of a plurality of vehicles at different moments, charging gun states and current electric quantity;
Arranging all the charging burial points of each vehicle according to the time sequence;
taking the charge buried point data of two adjacent times in the arrangement result corresponding to each vehicle as one group of data to obtain a plurality of groups of data corresponding to each vehicle;
determining first target group data of which the charging state and the charging gun state meet a first change condition and second target group data of which the charging state and the charging gun state meet a second change condition from multiple groups of data corresponding to each vehicle;
acquiring a moment corresponding to the buried point data of the last charge in the first target group data as a starting moment of the first charge, and acquiring a current electric quantity corresponding to the buried point data of the last charge in the first target group data as a starting electric quantity of the first charge;
acquiring the moment corresponding to the previous charging buried point data in the second target group data as the termination moment of primary charging, and the current electric quantity corresponding to the previous charging buried point data in the second target group data as the termination electric quantity of primary charging;
determining the charging duration of each charging of each vehicle based on the starting time and the ending time of each charging of each vehicle;
And determining the corresponding relation based on the initial electric quantity, the final electric quantity and the charging duration of each vehicle.
2. The method of claim 1, wherein after the determining the charge duration of each of the vehicles based on the start time and the end time of each of the charges of the each vehicle, the method further comprises:
acquiring a time interval between two adjacent charges of each vehicle;
and if the time interval is smaller than the preset time interval, merging the charging data of the adjacent two times of charging into the charging data of one time of charging.
3. The method of claim 1, wherein the determining the correspondence based on the starting charge, the ending charge, and the charge duration for each of the vehicles comprises:
determining a plurality of groups of charging data based on the initial electric quantity and the final electric quantity of each vehicle during each charging, wherein the plurality of groups of charging data correspond to different initial electric quantity and different final electric quantity;
obtaining the charging time length corresponding to each group of charging data based on the charging time length corresponding to each group of charging data;
And generating the corresponding relation based on the initial electric quantity, the termination electric quantity and the charging duration corresponding to each group of charging data.
4. A method according to any one of claims 1-3, wherein determining the predicted charge duration based on the pre-or real-time acquired correspondence between the amount of power and the charge duration, the duration prediction request, comprises:
searching for an initial electric quantity matched with the current electric quantity and a final electric quantity matched with the target electric quantity in the corresponding relation, and taking the charging duration corresponding to the initial electric quantity and the final electric quantity as the predicted charging duration.
5. A prediction apparatus of a charging duration, the apparatus comprising:
the request receiving module is used for receiving the duration prediction request; the duration prediction request comprises the current electric quantity and the target electric quantity;
the duration prediction module is used for determining a predicted charging duration based on a corresponding relation between the electric quantity and the charging duration, which are obtained in advance or in real time, and the duration prediction request; the corresponding relation comprises charging time periods required by the vehicle to be charged to different termination electric quantities under different initial electric quantities;
the relation acquisition module is used for acquiring charging buried point data, wherein the charging buried point data comprise charging states of a plurality of vehicles at different moments, charging gun states and current electric quantity; arranging all the charging burial points of each vehicle according to the time sequence; taking the charge buried point data of two adjacent times in the arrangement result corresponding to each vehicle as one group of data to obtain a plurality of groups of data corresponding to each vehicle; determining first target group data of which the charging state and the charging gun state meet a first change condition and second target group data of which the charging state and the charging gun state meet a second change condition from multiple groups of data corresponding to each vehicle; acquiring a moment corresponding to the buried point data of the last charge in the first target group data as a starting moment of the first charge, and acquiring a current electric quantity corresponding to the buried point data of the last charge in the first target group data as a starting electric quantity of the first charge; acquiring the moment corresponding to the previous charging buried point data in the second target group data as the termination moment of primary charging, and the current electric quantity corresponding to the previous charging buried point data in the second target group data as the termination electric quantity of primary charging; determining the charging duration of each charging of each vehicle based on the starting time and the ending time of each charging of each vehicle; and determining the corresponding relation based on the initial electric quantity, the final electric quantity and the charging duration of each vehicle.
6. A computer device, the computer device comprising:
one or more processors;
a memory;
one or more applications, wherein the one or more applications are stored in the memory and configured to be executed by the one or more processors, the one or more applications configured to perform the method of any of claims 1-4.
7. A computer readable storage medium, characterized in that the computer readable storage medium has stored therein a program code, which is callable by a processor for executing the method according to any one of claims 1-4.
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