CN115042654A - Ranking charging method and device of charging station, storage medium and terminal - Google Patents
Ranking charging method and device of charging station, storage medium and terminal Download PDFInfo
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- CN115042654A CN115042654A CN202210517232.9A CN202210517232A CN115042654A CN 115042654 A CN115042654 A CN 115042654A CN 202210517232 A CN202210517232 A CN 202210517232A CN 115042654 A CN115042654 A CN 115042654A
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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
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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
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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
- B60L53/62—Monitoring or controlling charging stations in response to charging parameters, e.g. current, voltage or electrical charge
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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
- B60L2240/00—Control parameters of input or output; Target parameters
- B60L2240/70—Interactions with external data bases, e.g. traffic centres
- B60L2240/72—Charging station selection relying on external data
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- Charge And Discharge Circuits For Batteries Or The Like (AREA)
- Electric Propulsion And Braking For Vehicles (AREA)
Abstract
The invention discloses a ranking charging method and device of a charging station, a storage medium and a terminal, relates to the technical field of charging trolleys, and mainly aims to solve the problem of low charging efficiency of the existing charging trolleys. The method mainly comprises the following steps: determining at least one target charging station matched with a target vehicle to be charged from each charging station, and acquiring historical electricity skipping times and charging configuration information of the target charging stations; generating ranking information based on the trolley running information of the target vehicle, the historical electricity skipping times and the charging configuration information; and outputting the ranking information, and indicating the target vehicle to charge according to the selected target charging station corresponding to the ranking information.
Description
Technical Field
The invention relates to the technical field of charging trolleys, in particular to a ranking charging method and device of a charging station, a storage medium and a terminal.
Background
With the increasing popularity of charging electric cars, the demand for charging stations is also increasing. In order to facilitate the car owner to quickly select a charging station for charging the electric car, the charging station nearby is displayed through researching and developing an applicable application program so as to be selected by the car owner.
At present, when a charging station nearby is displayed based on an application program APP, the charging station nearby can be scored and sorted, for example, scoring is performed according to factors such as distance, adaptive brand and price, so that an owner can select the charging station. However, since the scoring and sorting manner is single, even a charging station with a higher score may have a power-skip condition (sudden and frequent interruption of charging after the charging is started), and frequent power-skip may cause hardware wear of the charging interface, thereby greatly reducing the charging efficiency and the charging effectiveness.
Disclosure of Invention
In view of this, the present invention provides a method and an apparatus for rank charging of a charging station, a storage medium, and a terminal, and mainly aims to solve the problem of low charging efficiency of the existing charging electric vehicle.
According to an aspect of the present invention, there is provided a rank charging method of a charging station, including:
determining at least one target charging station matched with a target vehicle to be charged from each charging station, and acquiring historical electricity skipping times and charging configuration information of the target charging station;
generating ranking information based on the trolley running information of the target vehicle, the historical electricity skipping times and the charging configuration information;
and outputting the ranking information, and indicating the target vehicle to charge according to the selected target charging station corresponding to the ranking information.
Further, the generating ranking information based on the trolley running information of the target vehicle and the historical number of power jumps and the charging configuration information comprises:
predicting a trip electricity probability value in a preset time interval based on the historical trip electricity times, and determining a matching probability value between the trolley bus running information and the charging configuration information, wherein the trolley bus running information comprises at least one of a charging frequency current voltage range, trolley bus electricity quantity demand information, trolley bus equipment information and trolley bus loss information;
and counting the charging ranking sequence of the target charging station according to the electricity hopping probability value and the matching probability value, and determining the ranking information of the target charging station based on the position information of the target vehicle and the charging ranking sequence.
Further, the predicting the value of the electricity skipping probability in a preset time interval based on the historical electricity skipping times comprises:
if the historical electricity skipping times are larger than or equal to a preset electricity skipping threshold value, configuring a first electricity skipping probability value as a predicted electricity skipping probability value;
and if the calendar electricity-skipping times are smaller than a preset electricity-skipping threshold value, predicting and calculating a second electricity-skipping probability value in a preset time interval based on an electricity-skipping algorithm, wherein the second electricity-skipping probability value is smaller than the first electricity-skipping probability value.
Further, after determining a matching probability value between the trolley operation information and the charging configuration information, the method further includes:
determining a charging relation with the target charging station according to the positioning information bound to the target vehicle and a historical charging record;
and if the charging relation is a resident charging relation, increasing and adjusting the matching probability value according to a preset matching threshold value.
Further, the determining at least one target charging station matched with the target vehicle to be charged from the charging stations comprises:
acquiring first positioning information of each charging station and second positioning information of a target vehicle;
adjusting a position difference between the first positioning information and the second positioning information based on a historical trip time range of each of the charging stations;
and determining the charging station with the position difference smaller than a preset distance threshold value as a target charging station.
Further, the adjusting the position difference between the first positioning information and the second positioning information based on the historical trip time range of each of the charging stations comprises:
calculating the position distance between the first positioning information and the second positioning information, and determining whether the charging time of the target vehicle matches a historical power-skipping time range according to the running speed of the target vehicle and the position distance;
and if the historical power-jumping time range is matched, performing extension adjustment on the position distance, and determining the position distance after the extension adjustment as a position difference.
Further, the instructing the target vehicle to charge according to the target charging station corresponding to the selected ranking information includes:
and after a target charging station selected based on the ranking information is determined, calling navigation information matched with the target charging station and the target vehicle, and sending the navigation information to a vehicle terminal so as to indicate the target vehicle to charge to the target charging station according to the navigation information.
According to another aspect of the present invention, there is provided a rank charging device of a charging station, comprising:
the system comprises an acquisition module, a charging module and a charging module, wherein the acquisition module is used for determining at least one target charging station matched with a target vehicle to be charged from each charging station, and acquiring historical electricity jumping times and charging configuration information of the target charging station;
the generation module is used for generating ranking information based on the trolley running information of the target vehicle, the historical electricity skipping times and the charging configuration information;
and the indicating module is used for outputting the ranking information and indicating the target vehicle to charge according to the selected target charging station corresponding to the ranking information.
Further, the generating module includes:
the first determining unit is used for predicting a trip electricity probability value in a preset time interval based on the historical trip electricity times and determining a matching probability value between the trolley bus running information and the charging configuration information, wherein the trolley bus running information comprises at least one of a charging frequency current voltage range, trolley bus electric quantity demand information, trolley bus equipment information and trolley bus loss information;
and the calculating unit is used for counting the charging ranking sequence of the target charging station according to the electricity hopping probability value and the matching probability value and determining the ranking information of the target charging station based on the position information of the target vehicle and the charging ranking sequence.
Further, the determining unit is specifically configured to configure the first trip electricity probability value as a predicted trip electricity probability value if the historical trip electricity frequency is greater than or equal to a preset trip electricity threshold; and if the calendar electricity-skipping times are smaller than a preset electricity-skipping threshold value, predicting and calculating a second electricity-skipping probability value in a preset time interval based on an electricity-skipping algorithm, wherein the second electricity-skipping probability value is smaller than the first electricity-skipping probability value.
Further, the generating module further comprises:
the second determining unit is used for determining a charging relation with the target charging station according to the positioning information bound to the target vehicle and the historical charging record;
and the adjusting unit is used for increasing and adjusting the matching probability value according to a preset matching threshold if the charging relation is a resident charging relation.
Further, the obtaining module comprises:
the acquisition unit is used for acquiring first positioning information of each charging station and second positioning information of the target vehicle;
a third determination unit configured to adjust a position difference between the first positioning information and the second positioning information based on a historical trip time range of each of the charging stations;
a fourth determination unit, configured to determine the charging station with the position difference smaller than a preset distance threshold as a target charging station.
Further, the indicating module is specifically configured to, after determining a target charging station selected based on the ranking information, retrieve navigation information matched with the target charging station and the target vehicle, and send the navigation information to a vehicle terminal, so that the target vehicle is indicated to the target charging station for charging according to the navigation information.
According to still another aspect of the present invention, there is provided a storage medium having at least one executable instruction stored therein, the executable instruction causing a processor to perform operations corresponding to the above-described method for charging a rank of a charging station.
According to still another aspect of the present invention, there is provided a terminal including: the system comprises a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface complete mutual communication through the communication bus;
the memory is used for storing at least one executable instruction, and the executable instruction enables the processor to execute the operation corresponding to the ranking charging method of the charging station.
By means of the technical scheme, the technical scheme provided by the embodiment of the invention at least has the following advantages:
compared with the prior art, the invention provides a ranking charging method and device of charging stations, a storage medium and a terminal, wherein in the embodiment of the invention, at least one target charging station matched with a target vehicle to be charged is determined from each charging station, and the historical electricity skipping times and charging configuration information of the target charging station are obtained; generating ranking information based on the trolley running information of the target vehicle, the historical electricity skipping times and the charging configuration information; the ranking information is output, the target vehicle is indicated to be charged according to the target charging station corresponding to the ranking information, the purpose of selecting the charging station for charging based on the ranking of the charging station is achieved, the occurrence of the electricity jumping situation in the charging process is greatly reduced, the charging safety of the electric car is ensured, the damage probability of electric car equipment is reduced, and the charging efficiency and the charging effectiveness of the charging electric car are greatly improved.
The foregoing description is only an overview of the technical solutions of the present invention, and the embodiments of the present invention are described below in order to make the technical means of the present invention more clearly understood and to make the above and other objects, features, and advantages of the present invention more clearly understandable.
Drawings
Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the invention. Also, like reference numerals are used to refer to like parts throughout the drawings. In the drawings:
fig. 1 is a flowchart illustrating a method for charging a charging station according to a rank according to an embodiment of the present invention;
fig. 2 is a flowchart illustrating a ranking charging method for another charging station according to an embodiment of the present invention;
fig. 3 is a flowchart illustrating a ranking charging method for a charging station according to another embodiment of the present invention;
fig. 4 is a block diagram illustrating a position-arranging charging device of a charging station according to an embodiment of the present invention;
fig. 5 is a schematic structural diagram of a terminal according to an embodiment of the present invention.
Detailed Description
Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
When nearby charging stations are displayed based on the application APP, scoring and sequencing can be conducted on the nearby charging stations, and scoring is conducted according to factors such as distance, adaptive brands and prices so that an owner can select the nearby charging stations. However, since the scoring and sorting manner is single, even a charging station with a higher score may have a power-skip condition (charging is suddenly and frequently interrupted after charging starts), and frequent power-skip may cause hardware wear of a charging interface, thereby greatly reducing charging efficiency and charging effectiveness, an embodiment of the present invention provides a ranking charging method for a charging station, as shown in fig. 1, the method includes:
101. at least one target charging station matched with a target vehicle to be charged is determined from the charging stations, and historical electricity skipping times and charging configuration information of the target charging station are obtained.
In the embodiment of the invention, the current execution end is used as a (cloud) server, so that different charging station information suitable for charging the charging vehicles can be stored and retrieved, and data interaction is carried out on the current execution end and the vehicles to be charged, so that a charging station display selection service is provided for users. The current execution end determines target vehicles to be charged, and the target vehicles to be charged may be one or multiple ones, that is, a user may request a charging station ranking from the current execution end through a client connected to each vehicle to be charged, so that the current execution end first determines at least one target charging station matched with the target vehicle requesting the charging station ranking from each charging station. Meanwhile, after the current execution end determines a target charging station, historical jumping-electricity times and charging configuration information of the target charging station are obtained, wherein the historical jumping-electricity times are jumping-electricity times of the charging station in a historical time period, the charging configuration information is information such as charging range of a vehicle-mounted charger of a charging vehicle to which the charging station is applied, electricity frequency, voltage, current, remaining electricity quantity, charger model and the like, and each charging station updates the information to the current execution end after finishing one-time charging or one-time jumping-electricity, so that the current execution end updates the historical jumping-electricity times and the charging configuration information in real time.
It should be noted that, in the embodiment of the present invention, one charging station is a charging device unit, and a plurality of charging stations may form a charging area to be disposed in each living or affiliated area. Meanwhile, because the factors of electricity skipping are more, such as the damage of hardware equipment of the charging station, the damage of hardware of a vehicle, the power of the charging station larger than the power of a circuit, the power of a charger of the vehicle larger than the power of the charging station and the like, in order to accurately analyze the charging condition of the charging station, the current execution end can acquire electricity skipping information of the charging station in real time and can directly receive abnormal alarm information fed back after electricity skipping of the charging station so as to count the historical electricity skipping times, and the embodiment of the invention is not particularly limited.
102. And generating ranking information based on the trolley running information of the target vehicle, the historical electricity skipping times and the charging configuration information.
In the embodiment of the invention, the ranking information is used for representing the sequence of ranking the target vehicles suitable for charging the charging stations, and comprises the ranking results of the target charging stations generated by calculation based on the trolley bus running information, the historical electricity skipping times and the charging configuration information of the target trolley bus, so as to be output to a user for selection. The charging frequency current voltage range is the range of the electric frequency, the current and the voltage which can be charged by the target vehicle, the electric quantity demand information is the electric quantity which is expected to be charged by the target vehicle from the charging station, the electric equipment information comprises the charger model of the target vehicle, the power of the vehicle-mounted charger, the circuit power and the like, and the electric loss information is used for representing the vehicle loss contents such as the service duration of the target vehicle, the length of a running kilometer, the charging times of the vehicle-mounted charger and the like.
It should be noted that, since all target charging stations are determined by the user as alternative charging stations, and the target charging stations may be in one charging area or in different charging areas, for whether the target charging station is charging other vehicles, the embodiment of the present invention is not limited specifically, and only the ranking information is generated according to the trolley operation information of the target vehicle, the historical trip times of all target charging stations, and the charging configuration information, so that the user selects the charging station expected to be charged based on the ranking information.
103. And outputting the ranking information, and indicating the target vehicle to charge according to the selected target charging station corresponding to the ranking information.
In the embodiment of the invention, the current execution end can be a server for performing data interaction with the client, so after the ranking information is generated, the ranking information is output by the client for charging ranking based on the request, so that the user can select the client conveniently. And when the user selects the corresponding target charging station expected to be charged based on the ranking information, indicating the target vehicle to charge according to the target charging station. At this time, if the client completes the data connection with the vehicle-mounted controller in the target vehicle, the information of the target charging station may be directly sent to the vehicle-mounted controller, and if the client does not complete the data connection with the vehicle-mounted controller in the target vehicle, the user may drive the target vehicle to the target charging station based on the instruction of the client.
In another embodiment of the present invention, for further explanation and limitation, as shown in fig. 2, the step of generating ranking information based on the trolley running information of the target vehicle and the historical number of power trips and the charging configuration information includes:
201. predicting a trip electricity probability value in a preset time interval based on the historical trip electricity times, and determining a matching probability value between the trolley bus running information and the charging configuration information;
202. and counting the charging ranking sequence of the target charging station according to the electricity hopping probability value and the matching probability value, and determining the ranking information of the target charging station based on the position information of the target vehicle and the charging ranking sequence.
In order to accurately generate ranking information for a user to select based on the ranking information, the ranking information is generated based on the electric car running information, the historical electricity skipping times and the charging configuration information of a target vehicle, specifically, the electricity skipping probability value in a preset time interval is predicted based on the historical electricity skipping times, and the matching probability value between the electric car running information and the charging configuration information is determined. The power-jumping probability value is the probability of expected power-jumping of the charging station in a preset interval time, namely, direct prediction is performed based on historical power-jumping times, at this time, the historical power-jumping times can be predicted through a trained machine learning algorithm, the machine learning algorithm is not specifically limited, prediction can also be performed based on the power-jumping prediction algorithm, if the historical time interval is a month, a power-jumping prediction formula is q ═ m/(a + f), m is the historical power-jumping times, and f is the number of days in which power-jumping occurs in a month, so as to calculate the power-jumping probability value.
Meanwhile, the trolley-bus running information comprises at least one item of charging frequency current voltage range, trolley-bus electric quantity demand information, trolley-bus equipment information and trolley-bus loss information, the charging configuration information is the charging range of a vehicle-mounted charger of a charging vehicle suitable for the charging station and information such as electric frequency, voltage, current, remaining electric quantity, charger model and the like, and the matching probability value is calculated based on the charging configuration information of the charging station, namely the matching probability value is calculatedThe matching probability value is used for representing the matching degree of the charging effect between the charging station and the vehicle, and can be directly matched one by one according to the running information and the charging configuration information of the electric car, so that the matching probability is calculated in a weighting mode, for example, the electric frequency range a and the voltage range b in the running information of the electric car, the current demand information is C, the charger model d, the charging times of the vehicle-mounted charger are 50 times, the charging configuration information is the model d of the charging vehicle charger, the electric frequency range a and the voltage range b, the residual electric quantity C (C is greater than C), the charging times of the vehicle-mounted charger are less than 100 times, comparison is carried out one by one, and then the weight weighting mode is adopted
i is the number of matching items, and y corresponding to the matching items i And z is the number of all matched terms, and if all matched terms are all matched, the q is finally obtained to be 1.
It should be noted that after the power hopping probability values and the matching probability values of all the target charging stations are determined, the charging ranking orders of all the target charging stations are calculated, at this time, the larger the power hopping probability value is, the smaller the matching probability value is, and the later the charging ranking order is, a specific statistical method may determine the ranking orders based on a ratio of the power hopping probability value to the matching probability value, the larger the ratio is, that is, the larger the ranking order is, and the embodiment of the present invention is not particularly limited. Meanwhile, in order to facilitate the target vehicle to travel to the charging station for charging, the ranking information of the target charging station is determined based on the position information of the target vehicle and the charging ranking sequence, that is, on the basis of the ranking information, the ranking information can be generated by carrying the distance between the target vehicle and each target charging station, for example, the ranking information includes the ranking sequence and the distance between the target vehicle and each target charging station.
In another embodiment of the present invention, for further explanation and limitation, the step of predicting the value of the trip power probability within the preset time interval based on the historical number of trip power times includes:
if the historical electricity skipping times are larger than or equal to a preset electricity skipping threshold value, configuring a first electricity skipping probability value as a predicted electricity skipping probability value;
and if the calendar electricity-skipping times are smaller than a preset electricity-skipping threshold value, predicting and calculating a second electricity-skipping probability value in a preset time interval based on an electricity-skipping algorithm, wherein the second electricity-skipping probability value is smaller than the first electricity-skipping probability value.
In the embodiment of the invention, in order to ensure that the charging station can be charged safely and reduce the occurrence of the electricity skipping situation, the preset electricity skipping threshold value is configured in advance, and can be 10 times, 20 times and the like, so that when the historical electricity skipping times are greater than or equal to the preset electricity skipping threshold value, the target charging station is determined to be unsuitable to be used as the charging station to be charged, and at the moment, the first electricity skipping probability value is directly configured to be the predicted electricity skipping probability value, and is a preset numerical value with higher probability, so that the ranking order behind the ranking is calculated based on the higher electricity skipping probability value. Meanwhile, if the past electricity skipping frequency is smaller than the preset electricity skipping threshold, the historical electricity skipping frequency is within the normal electricity skipping range, therefore, a second electricity skipping probability value in a preset time interval can be predicted based on the electricity skipping algorithm, at the moment, the second electricity skipping probability value is obtained through calculation, and the preset time interval is preferably 1 day, so that the current day electricity skipping probability value is predicted. In this case, since the first trip probability value is used to calculate the ranking order further backward, and the second trip probability value is used to calculate the probability value expected to occur on the same day, the second trip probability value is smaller than the first trip probability value in configuration and calculation.
In another embodiment of the present invention, for further explanation and limitation, after the step of determining a matching probability value between the trolley operation information and the charging configuration information, the method further comprises:
determining a charging relation with the target charging station according to the positioning information bound to the target vehicle and the historical charging record;
and if the charging relation is a resident charging relation, increasing and adjusting the matching probability value according to a preset matching threshold value.
In the embodiment of the invention, in order to facilitate the user to frequently use the ranking information to select the charging station, the charging relation with the target charging station is determined according to the positioning information bound to the target vehicle so as to determine whether the charging station is matched as a common user. The charging relationship includes a resident charging relationship and an extraordinary charging relationship, the resident charging relationship is that the target vehicle is frequently charged in the target charging station within a fixed distance range, and at this time, the determination can be performed based on the positioning information and the historical charging record, for example, the distance between the positioning information bound to the vehicle and the charging station conforms to the resident distance range, and the charging times in the historical charging record conform to the resident charging times, so that the resident charging relationship is determined. If the charging relationship is a resident charging relationship, it indicates that the target vehicle is more easily matched with the target charging station, and therefore, the ranking order of the target charging station is advanced by increasing the matching probability value, that is, the adjustment matching probability value is increased according to the preset matching threshold value, and the preset matching probability threshold value plays a role in increasing the adjustment matching probability value, and can be configured to be 0.1, 0.2, and the like, and the embodiment of the invention is not particularly limited.
In another embodiment of the present invention, for further explanation and limitation, as shown in fig. 3, the step of determining at least one target charging station matching the target vehicle to be charged from among the charging stations includes:
301. acquiring first positioning information of each charging station and second positioning information of a target vehicle;
302. adjusting a position difference between the first positioning information and the second positioning information based on a historical trip time range of each of the charging stations;
303. and determining the charging station with the position difference smaller than a preset distance threshold value as a target charging station.
In order to determine a target charging station matched with a target vehicle from a plurality of charging stations so as to improve the effectiveness of generating ranking information of the charging stations, first positioning information of each charging station and second positioning information of the target vehicle are obtained, and a position difference is determined. The current execution end can acquire the first positioning information and the second positioning information based on a Global Positioning System (GPS), and adjust the position difference between the first positioning information and the second positioning information based on the historical power-jumping time range of each charging station, if the position difference is smaller than a preset distance threshold value, the corresponding charging position is more suitable to be selected as a target charging station for a user, and therefore the charging station with the position difference smaller than the preset distance threshold value is determined as the target charging station.
In another embodiment of the present invention, for further explanation and limitation, the step of adjusting the position difference between the first positioning information and the second positioning information based on the historical time-to-trip range of each of the charging stations comprises:
calculating the position distance between the first positioning information and the second positioning information, and determining whether the charging time of the target vehicle matches a historical power-skipping time range according to the running speed of the target vehicle and the position distance;
and if the historical power-jumping time range is matched, performing extension adjustment on the position distance, and determining the position distance after the extension adjustment as a position difference.
In order to accurately calculate the position difference between the first positioning information and the second positioning information to select a suitable target charging station, specifically, the position distance between the first positioning information and the second positioning information is calculated, that is, the position distance difference is directly determined, and meanwhile, whether the charging time expected to reach the target vehicle matches the historical electricity skipping time range is calculated according to the running speed and the position distance of the target vehicle, at this time, the running speed may be an average running speed. The historical power-jumping time range is a daily time range stored in the current execution end and used for recording the occurrence of power jumping of the charging station, for example, a statistical daily time range of all power-jumping time points occurring in one month from 10 am to 4 pm is defined, so that whether the charging time obtained by dividing the position distance by the operation speed matches the time range is determined. And if the historical power-jumping time range is matched, prolonging the adjustment position distance, and determining the adjusted position distance as a position difference so as to avoid the time period of the power-jumping situation. The length of the extended position distance may be obtained by multiplying the last time point of the historical trip time range by the operating speed, or may be configured in advance, which is not specifically limited in the embodiment of the present invention.
In another embodiment of the present invention, for further explanation and limitation, the step of instructing the target vehicle to charge according to the target charging station corresponding to the selected ranking information includes: and after a target charging station selected based on the ranking information is determined, calling navigation information matched with the target charging station and the target vehicle, and sending the navigation information to a vehicle terminal so as to indicate the target vehicle to charge to the target charging station according to the navigation information.
In order to facilitate a user to drive and charge according to a selected charging station, after the user selects a target charging station based on ranking information, a current execution end retrieves navigation information matched with the selected target charging station and a target vehicle, and sends the navigation information to a vehicle terminal, at this time, the vehicle terminal can be a client or a vehicle-mounted control end, and the embodiment of the invention is not particularly limited, so that the user drives the target vehicle to the target charging station to charge according to the navigation information.
It should be noted that the vehicle in the embodiment of the present invention is an electric vehicle, including but not limited to an intelligent electric vehicle capable of implementing an automatic driving function and an electric vehicle operated by a human driver, so that a user selects a charging station based on the ranking information generated by the current execution end and then automatically or manually drives the electric vehicle to charge the electric vehicle.
Compared with the prior art, the embodiment of the invention provides a ranking charging method of charging stations, and the method comprises the steps of determining at least one target charging station matched with a target vehicle to be charged from each charging station, and acquiring historical electricity skipping times and charging configuration information of the target charging station; generating ranking information based on the trolley running information of the target vehicle, the historical electricity skipping times and the charging configuration information; the ranking information is output, the target vehicle is indicated to be charged according to the selected target charging station corresponding to the ranking information, the purpose of selecting the charging station to charge based on the charging station ranking is achieved, the occurrence of the electricity skipping situation in the charging process is greatly reduced, the charging safety of the electric car is ensured, the damage probability of electric car equipment is reduced, and the charging efficiency and the charging effectiveness of the electric car are greatly improved.
Further, as an implementation of the method shown in fig. 1, an embodiment of the present invention provides a ranking charging device for a charging station, as shown in fig. 4, the device includes:
the acquiring module 41 is configured to determine at least one target charging station matched with a target vehicle to be charged from the charging stations, and acquire historical electricity skipping times and charging configuration information of the target charging station;
a generating module 42, configured to generate ranking information based on the trolley running information of the target vehicle, the historical electricity skipping times, and the charging configuration information;
and the indicating module 43 is configured to output the ranking information, and indicate the target vehicle to charge according to the target charging station corresponding to the selected ranking information.
Further, the generating module includes:
the first determining unit is used for predicting a trip electricity probability value in a preset time interval based on the historical trip electricity times and determining a matching probability value between the trolley bus running information and the charging configuration information, wherein the trolley bus running information comprises at least one of a charging frequency current voltage range, trolley bus electric quantity demand information, trolley bus equipment information and trolley bus loss information;
and the calculating unit is used for counting the charging ranking sequence of the target charging station according to the electricity hopping probability value and the matching probability value and determining the ranking information of the target charging station based on the position information of the target vehicle and the charging ranking sequence.
Further, the determining unit is specifically configured to configure the first trip electricity probability value as a predicted trip electricity probability value if the historical trip electricity frequency is greater than or equal to a preset trip electricity threshold; and if the calendar electricity-skipping times are smaller than a preset electricity-skipping threshold value, predicting and calculating a second electricity-skipping probability value in a preset time interval based on an electricity-skipping algorithm, wherein the second electricity-skipping probability value is smaller than the first electricity-skipping probability value.
Further, the generating module further comprises:
the second determining unit is used for determining a charging relation with the target charging station according to the positioning information bound to the target vehicle and the historical charging record;
and the adjusting unit is used for increasing and adjusting the matching probability value according to a preset matching threshold if the charging relation is a resident charging relation.
Further, the obtaining module comprises:
the acquisition unit is used for acquiring first positioning information of each charging station and second positioning information of the target vehicle;
a third determination unit configured to adjust a position difference between the first positioning information and the second positioning information based on a historical trip time range of each of the charging stations;
a fourth determination unit, configured to determine the charging station with the position difference smaller than a preset distance threshold as a target charging station.
Further, the indicating module is specifically configured to, after determining a target charging station selected based on the ranking information, retrieve navigation information matched with the target charging station and the target vehicle, and send the navigation information to a vehicle terminal, so that the target vehicle is indicated to the target charging station for charging according to the navigation information.
Compared with the prior art, the invention embodiment provides a ranking charging device of charging stations, and the ranking charging device comprises at least one target charging station which is matched with a target vehicle to be charged and is determined from each charging station, and historical electricity skipping times and charging configuration information of the target charging station are obtained; generating ranking information based on the trolley running information of the target vehicle, the historical electricity skipping times and the charging configuration information; the ranking information is output, the target vehicle is indicated to be charged according to the selected target charging station corresponding to the ranking information, the purpose of selecting the charging station to charge based on the charging station ranking is achieved, the occurrence of the electricity skipping situation in the charging process is greatly reduced, the charging safety of the electric car is ensured, the damage probability of electric car equipment is reduced, and the charging efficiency and the charging effectiveness of the electric car are greatly improved.
According to an embodiment of the present invention, there is provided a storage medium storing at least one executable instruction, where the computer executable instruction is capable of executing the method of ranking charging stations in any of the above method embodiments.
Fig. 5 is a schematic structural diagram of a terminal according to an embodiment of the present invention, where the specific embodiment of the present invention does not limit a specific implementation of the terminal.
As shown in fig. 5, the terminal may include: a processor (processor)502, a Communications Interface 504, a memory 506, and a communication bus 508.
Wherein: the processor 502, communication interface 504, and memory 506 communicate with one another via a communication bus 508.
A communication interface 504 for communicating with network elements of other devices, such as clients or other servers.
The processor 502 is configured to execute the program 510, and may specifically execute the relevant steps in the above-described ranking charging method embodiment of the charging station.
In particular, program 510 may include program code that includes computer operating instructions.
The processor 502 may be a central processing unit CPU, or an Application Specific Integrated Circuit (ASIC), or one or more Integrated circuits configured to implement an embodiment of the present invention. The terminal comprises one or more processors, which can be the same type of processor, such as one or more CPUs; or may be different types of processors such as one or more CPUs and one or more ASICs.
And a memory 506 for storing a program 510. The memory 506 may comprise high-speed RAM memory, and may also include non-volatile memory (non-volatile memory), such as at least one disk memory.
The program 510 may specifically be used to cause the processor 502 to perform the following operations:
determining at least one target charging station matched with a target vehicle to be charged from each charging station, and acquiring historical electricity skipping times and charging configuration information of the target charging stations;
generating ranking information based on the trolley running information of the target vehicle, the historical electricity skipping times and the charging configuration information;
and outputting the ranking information, and indicating the target vehicle to charge according to the target charging station corresponding to the selected ranking information.
It will be apparent to those skilled in the art that the modules or steps of the present invention described above may be implemented by a general purpose computing device, they may be centralized on a single computing device or distributed across a network of multiple computing devices, and alternatively, they may be implemented by program code executable by a computing device, such that they may be stored in a storage device and executed by a computing device, and in some cases, the steps shown or described may be performed in an order different than that described herein, or they may be separately fabricated into individual integrated circuit modules, or multiple ones of them may be fabricated into a single integrated circuit module. Thus, the present invention is not limited to any specific combination of hardware and software.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. A method for ranking charging stations, comprising:
determining at least one target charging station matched with a target vehicle to be charged from each charging station, and acquiring historical electricity skipping times and charging configuration information of the target charging station;
generating ranking information based on the trolley running information of the target vehicle, the historical electricity skipping times and the charging configuration information;
and outputting the ranking information, and indicating the target vehicle to charge according to the target charging station corresponding to the selected ranking information.
2. The method of claim 1, wherein generating ranking information based on the target vehicle's tram operation information and the historical number of power trips, the charging configuration information comprises:
predicting a trip electricity probability value in a preset time interval based on the historical trip electricity times, and determining a matching probability value between the trolley bus running information and the charging configuration information, wherein the trolley bus running information comprises at least one of a charging frequency current voltage range, trolley bus electricity quantity demand information, trolley bus equipment information and trolley bus loss information;
and counting the charging ranking sequence of the target charging station according to the electricity hopping probability value and the matching probability value, and determining the ranking information of the target charging station based on the position information of the target vehicle and the charging ranking sequence.
3. The method of claim 2, wherein predicting a trip probability value over a preset time interval based on the historical number of trip times comprises:
if the historical electricity hopping times are larger than or equal to a preset electricity hopping threshold, configuring a first electricity hopping probability value as a predicted electricity hopping probability value;
and if the calendar electricity-skipping times are smaller than a preset electricity-skipping threshold value, predicting and calculating a second electricity-skipping probability value in a preset time interval based on an electricity-skipping algorithm, wherein the second electricity-skipping probability value is smaller than the first electricity-skipping probability value.
4. The method of claim 2, wherein after determining the matching probability value between the tram operation information and the charging configuration information, the method further comprises:
determining a charging relation with the target charging station according to the positioning information bound to the target vehicle and the historical charging record;
and if the charging relation is a resident charging relation, increasing and adjusting the matching probability value according to a preset matching threshold value.
5. The method of claim 1, wherein the determining at least one target charging station from among the charging stations that matches the target vehicle to be charged comprises:
acquiring first positioning information of each charging station and second positioning information of a target vehicle;
adjusting a position difference between the first positioning information and the second positioning information based on a historical trip time range of each of the charging stations;
and determining the charging station with the position difference smaller than a preset distance threshold value as a target charging station.
6. The method of claim 5, wherein the adjusting the position difference between the first positioning information and the second positioning information based on the historical power hop time range of each of the charging stations comprises:
calculating the position distance between the first positioning information and the second positioning information, and determining whether the charging time of the target vehicle matches a historical power-skipping time range according to the running speed of the target vehicle and the position distance;
and if the historical power-jumping time range is matched, performing extension adjustment on the position distance, and determining the position distance after the extension adjustment as a position difference.
7. The method according to any one of claims 1-6, wherein the instructing the target vehicle to charge according to selecting the target charging station corresponding to the ranking information comprises:
and after a target charging station selected based on the ranking information is determined, calling navigation information matched with the target charging station and the target vehicle, and sending the navigation information to a vehicle terminal so as to indicate the target vehicle to charge to the target charging station according to the navigation information.
8. A ranked charging device for a charging station, comprising:
the system comprises an acquisition module, a charging configuration module and a charging management module, wherein the acquisition module is used for determining at least one target charging station matched with a target vehicle to be charged from each charging station, and acquiring historical electricity skipping times and charging configuration information of the target charging station;
the generation module is used for generating ranking information based on the trolley running information of the target vehicle, the historical electricity skipping times and the charging configuration information;
and the indicating module is used for outputting the ranking information and indicating the target vehicle to charge according to the selected target charging station corresponding to the ranking information.
9. A storage medium having stored therein at least one executable instruction that causes a processor to perform operations corresponding to the method of rank charging of a charging station according to any of claims 1-7.
10. A terminal, comprising: the system comprises a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface complete mutual communication through the communication bus;
the memory is used for storing at least one executable instruction, and the executable instruction causes the processor to execute the operation corresponding to the ranking charging method of the charging station according to any one of claims 1-7.
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| CN116862209A (en) * | 2023-09-05 | 2023-10-10 | 深圳市金威源科技股份有限公司 | New energy automobile charging facility management method and system |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN116862209A (en) * | 2023-09-05 | 2023-10-10 | 深圳市金威源科技股份有限公司 | New energy automobile charging facility management method and system |
| CN116862209B (en) * | 2023-09-05 | 2023-12-01 | 深圳市金威源科技股份有限公司 | New energy automobile charging facility management method and system |
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