CN114692927A - Battery replacement station recommendation method and system, electronic device and storage medium - Google Patents
Battery replacement station recommendation method and system, electronic device and storage medium Download PDFInfo
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Abstract
The invention discloses a recommendation method and device for a power swapping station, electronic equipment and a storage medium. The method comprises the following steps: acquiring a candidate battery swapping station matched with a battery swapping vehicle; respectively pre-estimating the pre-estimated operation information of each candidate battery replacing station when the battery replacing vehicle reaches each candidate battery replacing station from the current position; and recommending the battery replacement station to a driving user of the battery replacement vehicle according to the estimated operation information. The method and the device can estimate the estimated operation information of the selected power change station when the vehicle reaches the candidate power change station, provide power change station recommendation based on the estimated operation information for the user, and do not need the user to pre-judge the situation after the vehicle reaches the candidate power change station, so that misjudgment is easily avoided, and the accuracy of power change station recommendation is improved.
Description
Technical Field
The invention belongs to the field of power station swapping navigation, and particularly relates to a power station swapping recommendation method, a system, electronic equipment and a storage medium.
Background
In order to provide better experience for the battery swapping users, some battery swapping station navigation software can recommend the battery swapping stations to the users, so that the purpose of guiding the battery swapping users to select the battery swapping stations is achieved. At present, the recommended swapping stations are all given based on the current operation conditions of the swapping stations, such as the current available battery number, the current queuing number, and the like, for example, the user is guided to the swapping station with the largest current available battery number or the smallest current queuing number.
However, in practical applications, it can be found that since it takes time for a user to reach the swapping station, the situation of the swapping station after the user arrives at the swapping station is likely to be inconsistent with the situation when a recommendation is given. Therefore, if the user selects the optimal recommended power exchanging station completely according to the result recommended by the navigation software, the situation that the available battery of the power exchanging station is 0 after the user arrives at the power exchanging station and the power exchanging station needs to queue up may occur, and the power exchanging requirement of the user still cannot be met quickly. In order to avoid such a situation, the user needs to pre-judge the situation after the user arrives at the power exchanging station by himself to select the optimal power exchanging station, but the pre-judgment of the user is usually performed by combining with the experience of the user, and misjudgment is easy to occur.
Disclosure of Invention
The invention aims to solve the technical problem of overcoming the defect that misjudgment is easily caused by the fact that the situation after the user arrives at the power change station needs to be pre-judged by the user himself because the power change station recommendation in the prior art is usually given based on the current operation situation of the power change station and is not consistent with the situation after the user actually arrives at the power change station, and provides a power change station recommendation method, a device, electronic equipment and a storage medium.
The invention solves the technical problems through the following technical scheme:
the invention provides a recommendation method for a power swapping station, which comprises the following steps:
acquiring a candidate battery swapping station matched with a battery swapping vehicle;
respectively pre-estimating the pre-estimated operation information of each candidate battery replacing station when the battery replacing vehicle reaches each candidate battery replacing station from the current position;
and recommending the battery replacement station to a driving user of the battery replacement vehicle according to the estimated operation information.
The method can estimate the estimated operation information of the selected power change station when the vehicle reaches the candidate power change station, provides power change station recommendation based on the estimated operation information for the user, and does not need the user to pre-judge the situation after the vehicle reaches the candidate power change station, so that misjudgment is easily avoided, and the accuracy of power change station recommendation is improved.
Preferably, the obtaining of the candidate battery replacement station matched with the battery replacement vehicle includes:
acquiring a real-time positioning position, a vehicle type and a real-time residual electric quantity of the battery replacement vehicle;
screening the battery replacement stations matched with the real-time positioning positions and the vehicle types;
and screening candidate power change stations located within the endurance mileage of the power change vehicle from the power change stations according to the real-time residual electric quantity.
Through the steps, the candidate battery replacement stations which are matched with the real-time positioning position and the vehicle type of the battery replacement vehicle and are located within the endurance mileage of the battery replacement vehicle can be screened, so that when the battery replacement stations are recommended for the driving user based on the screened battery replacement stations, the battery replacement stations recommended for the driving user can be guaranteed to be the battery replacement stations which can reach the battery replacement stations and can have replaceable batteries, and the battery replacement requirement of the battery replacement user is met.
Preferably, the screening out the candidate power swapping stations located within the endurance mileage of the power swapping vehicle from the power swapping stations according to the real-time remaining electric quantity includes:
for each swapping station, performing the following steps:
determining a driving route and a driving mileage of the battery replacing vehicle from a current position to the battery replacing station;
calculating a congestion coefficient of the battery replacement vehicle from the current position to the battery replacement station according to the running route and the running mileage;
according to the rated electric quantity, the electricity mileage, the real-time residual electric quantity and the congestion coefficient of the electricity swapping vehicle, estimating the endurance mileage of the electricity swapping vehicle to the electricity swapping station according to the driving route;
and when the endurance mileage reaches the driving mileage, selecting the power change station as a candidate power change station.
The steps give a specific mode of predicting the endurance mileage, the possible congestion condition under the actual driving scene is considered, the accuracy of the endurance mileage prediction is improved, and then the candidate power change stations within the endurance mileage of the power change vehicle can be more accurately screened out.
Preferably, the calculation formula of the congestion coefficient is as follows:
wherein a represents the congestion coefficient, D represents the driving mileage, i represents the number of traffic congestion states corresponding to each road section in the driving route, and T represents the traffic congestion state numberiIndicating a congestion status coefficient, SiRepresents a correspondence TiThe length of the road segment.
In the embodiment, a specific calculation formula of the congestion coefficient is given, and different traffic congestion conditions of different road sections are specifically considered, so that the accuracy and the reliability of the congestion coefficient are improved.
Preferably, the pre-estimated operation information includes a predicted available battery number when the battery swapping vehicle reaches the candidate battery swapping stations, and the pre-estimated operation information of each candidate battery swapping station when the battery swapping vehicle reaches each candidate battery swapping station from the current position respectively comprises:
performing the following steps for each of the candidate power change stations:
estimating the running time of the battery replacing vehicle reaching the candidate battery replacing station;
acquiring the current real-time available battery number of the candidate power change station and the newly added fully charged battery number of the candidate power change station in the running time;
determining the total available battery number when the battery swapping vehicle reaches the candidate battery swapping station according to the real-time available battery number and the newly increased fully charged battery number;
acquiring the estimated battery replacement times of the candidate battery replacement station in the running time;
and determining the predicted available battery number according to the total available battery number and the predicted battery replacement times.
In the technical scheme, the estimated operation information of the candidate power exchanging station is reflected at least through the predicted available battery number when the power exchanging vehicle reaches the candidate power exchanging station, so that when the power exchanging station is recommended based on the estimated operation information of the candidate power exchanging station, the recommended power exchanging user can be considered to go to a station with relatively more batteries based on the predicted available battery number, and the power exchanging requirement of the power exchanging user can be met rapidly.
Preferably, the estimating of the time for the battery replacement vehicle to reach the candidate battery replacement station includes:
acquiring a driving route from the battery replacement vehicle to the candidate battery replacement station;
determining the total travel distance of the travel route, and the road section length and the congestion state coefficient of each congestion state on the travel route;
and determining the running time of the battery replacement vehicle to the candidate battery replacement station according to the total running distance, the road section length of each congestion state on the running route and the congestion state coefficient.
The steps give a specific mode of predicting the running time of the battery replacing vehicle reaching the candidate battery replacing station, the possible congestion condition in the actual driving scene is considered, the accuracy of prediction in the running time is improved, and then the predicted available battery number of the battery replacing vehicle reaching the candidate battery replacing station can be predicted more accurately.
Preferably, the acquiring the estimated battery replacement times of the candidate battery replacement station in the running time includes:
acquiring the current queuing number of the candidate battery swapping stations and historical synchronization reference battery swapping times from the current moment to the arrival of the battery swapping vehicle;
and selecting the larger one of the current queuing number and the historical contemporaneous reference power changing times as the estimated power changing times of the candidate power changing station in the running time.
The current queuing number of the candidate power exchange stations and the historical contemporaneous reference power exchange times from the current moment to the arrival of the power exchange vehicle are comprehensively considered when the estimated power exchange times are determined, so that the accuracy of the estimated power exchange times is improved, and the predicted available battery number when the power exchange vehicle arrives at the candidate power exchange stations can be estimated more accurately.
Preferably, recommending a battery replacement station to a driving user of the battery replacement vehicle according to the estimated operation information includes:
and recommending the power change station with the predicted available battery number larger than zero to a driving user of the power change vehicle.
Through the steps, the method guides the user to preferentially select the candidate power changing station with the predicted available battery number larger than 0 through the power changing station recommendation list, and helps the user to complete power changing quickly.
The invention also provides a recommendation system of the power swapping station, which comprises the following steps:
the battery replacement station acquisition module is used for acquiring candidate battery replacement stations matched with the battery replacement vehicle;
the operation estimation module is used for respectively estimating the estimated operation information of each candidate battery replacing station when the battery replacing vehicle reaches each candidate battery replacing station from the current position;
and the battery replacement station recommendation module is used for recommending a battery replacement station to a driving user of the battery replacement vehicle according to the estimated operation information.
Preferably, the power swapping station obtaining module is configured to:
acquiring a real-time positioning position, a vehicle type and real-time residual electric quantity of a battery replacement vehicle;
screening the battery replacement stations matched with the real-time positioning positions and the vehicle types;
and screening candidate power change stations located within the endurance mileage of the power change vehicle from the power change stations according to the real-time residual electric quantity.
Preferably, the screening out the candidate power swapping stations located within the endurance mileage of the power swapping vehicle from the power swapping stations according to the real-time remaining electric quantity includes:
the following functions are realized for each swapping station:
determining a driving route and a driving mileage of the battery replacing vehicle from a current position to the battery replacing station;
calculating a congestion coefficient of the battery replacement vehicle from the current position to the battery replacement station according to the running route and the running mileage;
according to the rated electric quantity, the electricity mileage, the real-time residual electric quantity and the congestion coefficient of the electricity swapping vehicle, estimating the endurance mileage of the electricity swapping vehicle to the electricity swapping station according to the driving route;
and when the endurance mileage reaches the driving mileage, selecting the power change station as a candidate power change station.
Preferably, the congestion coefficient is calculated as follows:
wherein a represents a congestion coefficient, D represents the driving mileage, i represents the number of traffic congestion states corresponding to each road section in the driving route, and T represents the traffic congestion stateiRepresenting the congestion status coefficient, SiRepresents a correspondence TiThe length of the road segment.
Preferably, the predicted operation information includes a predicted available battery number when the battery replacement vehicle reaches the candidate battery replacement station, and the operation prediction module is configured to:
implementing the following functions for each of the candidate charging stations:
estimating the running time of the battery replacement vehicle reaching the candidate battery replacement station;
acquiring the current real-time available battery number of the candidate power change station and the newly added fully charged battery number of the candidate power change station in the running time;
determining the total available battery number when the battery swapping vehicle reaches the candidate battery swapping station according to the real-time available battery number and the newly added fully charged battery number;
acquiring the estimated battery replacement times of the candidate battery replacement station in the running time;
and determining the predicted available battery number according to the total available battery number and the predicted battery replacement times.
Preferably, the estimating of the time for the battery replacement vehicle to reach the candidate battery replacement station includes:
acquiring a driving route from the battery replacement vehicle to the candidate battery replacement station;
determining the total travel distance of the travel route, and the road section length and the congestion state coefficient of each congestion state on the travel route;
and determining the running time of the battery replacement vehicle to the candidate battery replacement station according to the total running distance, the road section length of each congestion state on the running route and the congestion state coefficient.
Preferably, the acquiring the estimated battery replacement times of the candidate battery replacement station in the running time includes:
acquiring the current queuing number of the candidate battery swapping stations and historical synchronization reference battery swapping times from the current moment to the arrival of the battery swapping vehicle;
selecting the larger one of the current queuing number and the historical synchronization reference battery replacement frequency as the estimated battery replacement frequency of the candidate battery replacement station in the running time.
Preferably, the power swapping station recommendation module is configured to:
and recommending the power change station with the predicted available battery number larger than zero to a driving user of the power change vehicle.
The invention also provides an electronic device, which comprises a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the processor executes the computer program to realize the power station swapping recommendation method.
The present invention also provides a computer readable storage medium having stored thereon a computer program which, when being executed by a processor, carries out the steps of the swapping station recommendation method as described above.
On the basis of the common knowledge in the field, the above preferred conditions can be combined randomly to obtain the preferred embodiments of the invention.
The positive progress effects of the invention are as follows: the method and the device can estimate the estimated operation information of the selected power change station when the vehicle reaches the candidate power change station, provide power change station recommendation based on the estimated operation information for the user, and do not need the user to pre-judge the situation after the vehicle reaches the candidate power change station, so that misjudgment is easily avoided, and the accuracy of power change station recommendation is improved.
Drawings
Fig. 1 is a flowchart of a power swapping station recommendation method according to embodiment 1 of the present invention;
FIG. 2 is a flowchart of step 11 of example 1 of the present invention;
FIG. 3 is a flowchart of step 12 of example 1 of the present invention;
fig. 4 is a schematic block diagram of a power swapping station recommendation system according to embodiment 2 of the present invention;
fig. 5 is a schematic structural diagram of an electronic device according to embodiment 3 of the present invention.
Detailed Description
The invention is further illustrated by the following examples, which are not intended to limit the invention thereto.
Example 1
Fig. 1 shows a recommendation method for a power swapping station according to this embodiment. Which comprises the following steps:
step 11: and acquiring a candidate battery replacement station matched with the battery replacement vehicle.
Step 12: and respectively estimating estimated operation information of each candidate power exchanging station when the power exchanging vehicle reaches each candidate power exchanging station from the current position.
Step 13: and recommending the battery replacement station to a driving user of the battery replacement vehicle according to the estimated operation information.
The method can estimate the estimated operation information of the selected power change station when the vehicle reaches the candidate power change station, provides power change station recommendation based on the estimated operation information for the user, and does not need the user to pre-judge the situation after the vehicle reaches the candidate power change station, so that misjudgment is easily avoided, and the accuracy of power change station recommendation is improved.
In an implementation manner, step 11 may specifically include, as shown in fig. 2:
step 111: and acquiring the real-time positioning position, the vehicle type and the real-time residual electric quantity of the battery replacement vehicle.
Step 112: and screening the battery replacement stations matched with the real-time positioning positions and the types of the vehicles.
Step 113: and screening candidate power change stations within the endurance mileage of the power change vehicle from the power change stations according to the real-time residual electric quantity.
In step 111, the real-time positioning position of the battery replacement vehicle may be obtained by an on-board GPS or other positioning device, or may be obtained by a GPS or other positioning module of the driving user terminal. The vehicle type may be acquired by driving a vehicle type registered in the user terminal. The real-time remaining power can be acquired from a Battery Management System (BMS) of the battery replacement vehicle.
In step 112, the power exchanging station matched with the real-time positioning position may include a power exchanging station located within a preset distance threshold from the real-time positioning position; the battery swapping station matched with the vehicle type can comprise a battery swapping station supporting the battery swapping service for the battery swapping vehicle of the vehicle type.
Through the steps, the candidate battery replacement stations which are matched with the real-time positioning position and the vehicle type of the battery replacement vehicle and are located within the endurance mileage of the battery replacement vehicle can be screened, so that when the battery replacement stations are recommended for the driving user based on the screened battery replacement stations, the battery replacement stations recommended for the driving user can be guaranteed to be the battery replacement stations which can reach the battery replacement stations and can have replaceable batteries, and the battery replacement requirement of the battery replacement user is met.
In one implementation, step 112 may further include: and screening candidate power changing stations which are located within the endurance mileage of the power changing vehicle and are in a business state when the power changing vehicle reaches the power changing station from the power changing station according to the real-time residual electric quantity and the operation state of the power changing station when the power changing vehicle reaches the power changing station. Wherein the operation state comprises an operating state and a suspended operation state. The operation state of the power swapping station can be determined according to the operation time of the power swapping station. When the battery replacement vehicle arrives, the battery replacement station is in an operating state and is screened as a candidate battery replacement station. Therefore, the situation that the battery replacement cannot be carried out when the battery replacement user arrives at the battery replacement station and the battery replacement station is suspended for business can be avoided.
Further, step 113 may include:
the following steps are performed for each power swapping station:
determining a driving route and a driving mileage from the current position of the battery replacement vehicle to the battery replacement station;
calculating a congestion coefficient of the battery replacing vehicle from the current position to the battery replacing station according to the driving route and the driving mileage;
estimating the driving mileage of the swapping vehicle to the swapping station according to the running route according to the rated electric quantity, the power-degree mileage, the real-time remaining electric quantity and the congestion coefficient of the swapping vehicle;
and when the endurance mileage reaches the driving mileage, selecting the power change station as a candidate power change station.
The steps give a specific mode of predicting the endurance mileage, the possible congestion condition under the actual driving scene is considered, the accuracy of the endurance mileage prediction is improved, and then the candidate power change stations within the endurance mileage of the power change vehicle can be more accurately screened out.
Further, the calculation formula of the congestion coefficient is as follows:
wherein a represents a congestion coefficient, D represents a driving mileage, i represents the number of traffic congestion states corresponding to each road section in a driving route, and T representsiThe congestion status coefficient (unknown 1.0/clear 1.0/slow running 1.5/congestion 2.1/heavy congestion 2.5) is expressed, and SiRepresents a correspondence TiThe length of the road segment.
One possible calculation formula of the endurance mileage is as follows: endurance mileage is (real-time remaining capacity, rated capacity/a) degree electric mileage/100. Of course, the calculation formula of the driving mileage is not limited to this, and the real-time remaining power amount and the electric mileage may be further corrected or calculated by the calculation formula after introducing the error amount, or the error amount may be further corrected or introduced based on the calculation result.
In the embodiment, a specific calculation formula of the congestion coefficient is provided, and different traffic congestion conditions of different road sections are specifically considered, so that the accuracy and the reliability of the congestion coefficient are improved. In an implementable manner, the electricity-degree mileage is the mileage of the battery replacement vehicle when the battery pack consumes a unit electric quantity (1 degree electricity), and can be determined according to the mileage of the battery replacement vehicle and the accumulated consumed electric quantity of the battery pack within a certain period of time. The power conversion vehicles of different vehicle types have different power mileage.
In a practical manner, the predicted operation information includes a predicted available battery number when the swap vehicle arrives at the candidate swap station, and step 12 may specifically include:
the following steps are performed for each candidate power station, as shown in fig. 3:
step 121: estimating the running time of the battery replacing vehicle reaching the candidate battery replacing station;
step 122: acquiring the current real-time available battery number of the candidate power change station and the newly increased fully charged battery number of the candidate power change station during running;
step 123: determining the total available battery number when the battery replacement vehicle reaches the candidate battery replacement station according to the real-time available battery number and the newly added fully charged battery number;
step 124: acquiring estimated battery replacement times of the candidate battery replacement station during driving;
step 125: and determining the predicted available battery number according to the total available battery number and the predicted battery replacement frequency.
In the method, the estimated operation information of the candidate power exchanging station is reflected at least through the predicted available battery number when the power exchanging vehicle reaches the candidate power exchanging station, so that when the power exchanging station is recommended based on the estimated operation information of the candidate power exchanging station, the recommended power exchanging user can be considered to go to a station with relatively more batteries based on the predicted available battery number, and the power exchanging requirement of the power exchanging user can be met rapidly.
Further, step 121 may include:
acquiring a driving route from a battery replacement vehicle to a candidate battery replacement station;
determining the total travel distance of a travel route, and the road section length and the congestion state coefficient of each congestion state on the travel route;
and determining the running time from the battery replacement vehicle to the candidate battery replacement station according to the total running distance, the road section length of each congestion state on the running route and the congestion state coefficient.
One possible calculation formula for driving is:
in the formula, v represents the running speed of the battery replacement vehicle in the unblocked state.
The steps give a specific mode of predicting the running time of the battery replacing vehicle reaching the candidate battery replacing station, the possible congestion condition in the actual driving scene is considered, the accuracy of prediction in the running time is improved, and then the predicted available battery number of the battery replacing vehicle reaching the candidate battery replacing station can be predicted more accurately.
In step 122, the number of the real-time available batteries and the number of the newly added fully charged batteries may be obtained by a battery charging management system of the candidate power station. The number of newly added fully charged batteries may be equal to the number of batteries when the remaining charging time is less than the running time among the currently uncharged batteries of the candidate power station or equal to a correction value based on the value.
In step 123, a possible calculation formula of the total available battery count is the total available battery count, which is the real-time available battery count + the newly charged battery count, or a correction value based on the calculation value.
Further, step 124 may include:
acquiring the current queuing number of candidate battery swapping stations and historical synchronization reference battery swapping times from the current moment to the arrival of the battery swapping vehicle;
and selecting the larger one of the current queuing number and the historical contemporaneous reference power changing times as the estimated power changing times of the candidate power changing station in the running time.
In step 125, one possible calculation formula for predicting the number of available batteries is: the predicted available battery number is the total available battery number-the predicted number of battery replacements, or is a correction value based on the calculated value.
The current queuing number of the candidate power exchange stations and the historical contemporaneous reference power exchange times from the current moment to the arrival of the power exchange vehicle are comprehensively considered when the estimated power exchange times are determined, so that the accuracy of the estimated power exchange times is improved, and the predicted available battery number when the power exchange vehicle arrives at the candidate power exchange stations can be estimated more accurately.
Further, step 13 may include:
and recommending the power change station with the predicted available battery number larger than zero to a driving user of the power change vehicle.
The candidate power changing stations with the predicted available battery number larger than 0 can be ranked from low to high according to power changing consumption duration to generate a first power changing station recommendation list, and the power changing stations are recommended to a driving user of the power changing vehicle according to the first power changing station recommendation list. After a first power swapping station recommendation list is generated according to the power swapping consumption duration in a low-to-high sequence, the following steps can be executed:
sorting candidate power changing stations with the predicted available battery number less than or equal to 0 according to power changing consumption time from low to high to generate a second power changing station recommendation list;
splicing the second power changing station recommendation list to the first power changing station recommendation list to obtain a power changing station recommendation list;
and recommending the battery swapping station to a driving user of the battery swapping vehicle according to the battery swapping station recommendation list.
Through the steps, the method guides the user to preferentially select the candidate power exchanging station with the predicted available battery number larger than 0 and the shortest power exchanging consumption time through the power exchanging station recommendation list, and helps the user to complete power exchanging quickly.
In an implementable manner, when the power swapping station is recommended to a driving user of the power swapping vehicle according to the estimated operation information, power swapping station information of the recommended power swapping station can be output. The power station swapping information includes, but is not limited to, at least one of a predicted available battery number, a predicted number of queues, and a predicted queuing time.
Example 2
Fig. 4 shows a recommendation system of a swapping station according to the embodiment. It comprises the following steps: the system comprises a power change station acquisition module 21, an operation estimation module 22 and a power change station recommendation module 23. The swapping station obtaining module 21 is configured to obtain a candidate swapping station matched with a swapping vehicle. The operation estimation module 22 is configured to estimate estimated operation information of each candidate power exchanging station when the battery swapping vehicle reaches each candidate power exchanging station from the current position. The power swapping station recommending module 23 is configured to recommend a power swapping station to a driving user of the power swapping vehicle according to the estimated operation information.
In an implementation manner, the swapping station obtaining module 21 is configured to:
acquiring a real-time positioning position, a vehicle type and real-time residual electric quantity of a battery replacement vehicle;
screening a power change station matched with both the real-time positioning position and the vehicle type;
and screening candidate power change stations within the endurance mileage of the power change vehicle from the power change stations according to the real-time residual electric quantity.
In an implementable manner, a candidate power swapping station within the endurance mileage of the power swapping vehicle is screened out from the power swapping stations according to the real-time remaining power, including:
the following functions are realized for each power swapping station:
determining a driving route and a driving mileage of the battery replacing vehicle from the current position to the battery replacing station;
calculating a congestion coefficient of the battery replacing vehicle from the current position to the battery replacing station according to the driving route and the driving mileage;
according to the rated electric quantity, the electricity mileage, the real-time remaining electric quantity and the congestion coefficient of the battery replacing vehicle, estimating the endurance mileage of the battery replacing vehicle to the battery replacing station according to the driving route;
and when the endurance mileage reaches the driving mileage, selecting the power change station as a candidate power change station.
In one possible implementation, the congestion coefficient is calculated as follows:
wherein a represents a congestion coefficient, D represents a driving mileage, i represents the number of traffic congestion states corresponding to each road section in a driving route, and T representsiIndicating a congestion status coefficient, SiRepresents a correspondence TiThe length of the road segment.
In an implementation manner, the predicted operation information includes a predicted available battery number when the battery replacement vehicle arrives at the candidate battery replacement station, and the operation prediction module 22 is configured to:
the following functions are realized for each candidate power conversion station:
estimating the running time of the replacement vehicle reaching the candidate replacement station;
acquiring the current real-time available battery number of the candidate power change station and the newly increased fully charged battery number of the candidate power change station during running;
determining the total available battery number when the battery replacement vehicle reaches the candidate battery replacement station according to the real-time available battery number and the newly added fully charged battery number;
acquiring estimated battery replacement times of the candidate battery replacement station during driving;
and determining the predicted available battery number according to the total available battery number and the predicted battery replacement frequency.
In one practicable mode, the estimating of the arrival of the battery replacement vehicle at the battery replacement candidate station includes:
acquiring a driving route from a battery replacement vehicle to a candidate battery replacement station;
determining the total travel distance of a travel route, and the road section length and the congestion state coefficient of each congestion state on the travel route;
and determining the running time from the battery replacement vehicle to the candidate battery replacement station according to the total running distance, the road section length of each congestion state on the running route and the congestion state coefficient.
In one practical manner, obtaining an estimated swapping frequency of a swapping station candidate during traveling includes:
acquiring the current queuing number of candidate battery swapping stations and historical synchronous reference battery swapping times from the current moment to the arrival of the battery swapping vehicles;
and selecting the larger one of the current queuing number and the historical contemporaneous reference power changing times as the estimated power changing times of the candidate power changing station in the running time.
In an implementation manner, the power swapping station recommendation module 23 is configured to:
and recommending the power change station with the predicted available battery number larger than zero to a driving user of the power change vehicle.
The system of the embodiment can estimate the estimated operation information of the selected power change station when the vehicle reaches the candidate power change station, provides power change station recommendation based on the estimated operation information for the user, and does not need the user to pre-judge the situation after the vehicle reaches the candidate power change station, so that misjudgment is easily avoided, and the accuracy of power change station recommendation is improved.
Example 3
The embodiment of the present invention further provides an electronic device, which may be represented in a form of a computing device (for example, may be a server device), and includes a memory, a processor, and a computer program stored in the memory and executable on the processor, where when the processor executes the computer program, any one of the power swapping station recommendation methods in embodiment 1 of the present invention may be implemented.
Fig. 5 shows a schematic diagram of a hardware structure of the present embodiment, and as shown in fig. 5, the electronic device 9 specifically includes:
at least one processor 91, at least one memory 92, and a bus 93 for connecting the various system components (including the processor 91 and the memory 92), wherein:
the bus 93 includes a data bus, an address bus, and a control bus.
The processor 91 executes various functional applications and data processing, such as any one of the power station replacement recommendation methods in embodiment 1 of the present invention, by executing the computer program stored in the memory 92.
The electronic device 9 may further communicate with one or more external devices 94, such as a keyboard, pointing device, etc. Such communication may be through an input/output (I/O) interface 95. Also, the electronic device 9 may communicate with one or more networks (e.g., a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network, such as the Internet) via the network adapter 96. The network adapter 96 communicates with the other modules of the electronic device 9 via the bus 93. It should be understood that although not shown in the figures, other hardware and/or software modules may be used in conjunction with the electronic device 9, including but not limited to: microcode, device drivers, redundant processors, external disk drive arrays, RAID (disk array) systems, tape drives, and data backup storage systems, etc.
It should be noted that although in the above detailed description several units/modules or sub-units/modules of the electronic device are mentioned, such a division is merely exemplary and not mandatory. Indeed, the features and functionality of two or more of the units/modules described above may be embodied in one unit/module, according to embodiments of the application. Conversely, the features and functions of one unit/module described above may be further divided into embodiments by a plurality of units/modules.
Example 6
The embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the steps of any power swapping station recommendation method in embodiment 1 of the present invention.
More specific examples, among others, that the readable storage medium may employ may include, but are not limited to: a portable disk, a hard disk, random access memory, read only memory, erasable programmable read only memory, optical storage device, magnetic storage device, or any suitable combination of the foregoing.
In a possible implementation manner, the present invention may also be implemented in a form of a program product, which includes program code, and when the program product runs on a terminal device, the program code is configured to enable the terminal device to execute steps of implementing any power swapping recommendation method in embodiment 1 of the present invention.
Where program code for carrying out the invention is written in any combination of one or more programming languages, the program code may be executed entirely on the user device, partly on the user device, as a stand-alone software package, partly on the user device and partly on a remote device or entirely on the remote device.
While specific embodiments of the invention have been described above, it will be appreciated by those skilled in the art that this is by way of example only, and that the scope of the invention is defined by the appended claims. Various changes and modifications to these embodiments may be made by those skilled in the art without departing from the spirit and scope of the invention, and these changes and modifications are within the scope of the invention.
Claims (11)
1. A power station swapping recommendation method is characterized by comprising the following steps:
acquiring a candidate battery swapping station matched with a battery swapping vehicle;
respectively pre-estimating the pre-estimated operation information of each candidate battery replacing station when the battery replacing vehicle reaches each candidate battery replacing station from the current position;
and recommending the battery replacement station to a driving user of the battery replacement vehicle according to the estimated operation information.
2. The swapping station recommendation method of claim 1, wherein the obtaining of the candidate swapping station matched with the swapping vehicle comprises:
acquiring a real-time positioning position, a vehicle type and real-time residual electric quantity of a battery replacement vehicle;
screening the battery replacement stations matched with the real-time positioning positions and the vehicle types;
and screening candidate power change stations located within the endurance mileage of the power change vehicle from the power change stations according to the real-time residual electric quantity.
3. The method for recommending a swapping station as claimed in claim 2, wherein the step of screening out candidate swapping stations within the range of the swapping vehicle from the swapping station according to the real-time remaining power comprises:
for each swapping station, performing the following steps:
determining a driving route and a driving mileage of the battery replacing vehicle from a current position to the battery replacing station;
calculating a congestion coefficient of the battery replacement vehicle from the current position to the battery replacement station according to the running route and the running mileage;
according to the rated electric quantity, the electricity mileage, the real-time residual electric quantity and the congestion coefficient of the electricity swapping vehicle, estimating the endurance mileage of the electricity swapping vehicle to the electricity swapping station according to the driving route;
when the cruising mileage reaches the driving mileage, selecting the swapping station as a candidate swapping station.
4. The power swapping station recommendation method of claim 3, wherein the congestion coefficient is calculated by the following formula:
wherein a represents the congestion coefficient, D represents the driving mileage, i represents the number of traffic congestion states corresponding to each road section in the driving route, and T representsiRepresenting the congestion status coefficient, SiRepresents a correspondence TiThe length of the road segment.
5. The power swapping station recommendation method of claim 1, wherein the pre-estimated operation information comprises a predicted available battery number when the power swapping vehicle reaches the candidate power swapping stations, and the pre-estimated operation information of each candidate power swapping station when the power swapping vehicle reaches each candidate power swapping station from a current position comprises:
performing the following steps for each of the candidate power change stations:
estimating the running time of the battery replacing vehicle reaching the candidate battery replacing station;
acquiring the current real-time available battery number of the candidate power change station and the newly added fully charged battery number of the candidate power change station in the running time;
determining the total available battery number when the battery swapping vehicle reaches the candidate battery swapping station according to the real-time available battery number and the newly added fully charged battery number;
acquiring the estimated battery replacement times of the candidate battery replacement station in the running time;
and determining the predicted available battery number according to the total available battery number and the predicted battery replacement times.
6. The swapping station recommendation method of claim 5, wherein the predicting when the swapping vehicle reaches the candidate swapping station for driving comprises:
acquiring a driving route from the battery replacement vehicle to the candidate battery replacement station;
determining the total travel distance of the travel route, and the road section length and the congestion state coefficient of each congestion state on the travel route;
and determining the running time of the battery replacement vehicle to the candidate battery replacement station according to the total running distance, the road section length of each congestion state on the running route and the congestion state coefficient.
7. The method for recommending a swapping station as claimed in claim 5, wherein the obtaining the estimated number of times of swapping of the candidate swapping station in the driving time comprises:
acquiring the current queuing number of the candidate battery swapping stations and historical synchronization reference battery swapping times from the current moment to the arrival of the battery swapping vehicle;
and selecting the larger one of the current queuing number and the historical contemporaneous reference power changing times as the estimated power changing times of the candidate power changing station in the running time.
8. The swapping station recommendation method of claim 5, wherein the recommending a swapping station to a driving user of the swapping vehicle according to the pre-estimated operation information comprises:
and recommending the power change station with the predicted available battery number larger than zero to a driving user of the power change vehicle.
9. A recommendation system for a power swapping station, comprising:
the battery replacement station acquisition module is used for acquiring candidate battery replacement stations matched with the battery replacement vehicle;
the operation estimation module is used for respectively estimating the estimated operation information of each candidate battery replacing station when the battery replacing vehicle reaches each candidate battery replacing station from the current position;
and the battery replacement station recommendation module is used for recommending a battery replacement station to a driving user of the battery replacement vehicle according to the estimated operation information.
10. An electronic device comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein the processor implements the power swapping station recommendation method of any of claims 1 to 8 when executing the computer program.
11. A computer-readable storage medium, on which a computer program is stored, wherein the computer program, when being executed by a processor, implements the steps of the power swapping station recommendation method according to any one of claims 1 to 8.
Priority Applications (4)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011623642.9A CN114692927A (en) | 2020-12-31 | 2020-12-31 | Battery replacement station recommendation method and system, electronic device and storage medium |
| PCT/CN2021/142992 WO2022143880A1 (en) | 2020-12-31 | 2021-12-30 | Recommendation method and system for battery swapping station, electronic device and storage medium |
| JP2023540149A JP2024502428A (en) | 2020-12-31 | 2021-12-30 | Recommended methods, systems, electronic devices and storage media for battery exchange stations |
| EP21914611.5A EP4273768A1 (en) | 2020-12-31 | 2021-12-30 | Recommendation method and system for battery swapping station, electronic device and storage medium |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202011623642.9A CN114692927A (en) | 2020-12-31 | 2020-12-31 | Battery replacement station recommendation method and system, electronic device and storage medium |
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN115284965A (en) * | 2022-09-29 | 2022-11-04 | 西华大学 | Battery replacement station preselection method of battery replacement type commercial vehicle based on combination optimization method |
| CN115359646A (en) * | 2022-08-18 | 2022-11-18 | 网电楚创智慧能源湖北有限公司 | Battery replacement vehicle scheduling method and system based on vehicle-mounted terminal |
| CN116208664A (en) * | 2023-02-02 | 2023-06-02 | 北京云能互联科技有限公司 | Information pushing method and system |
| CN116865387A (en) * | 2023-07-04 | 2023-10-10 | 泰安鸿瑞信息科技有限公司 | Sharable intelligent power conversion resource management platform based on Internet of things |
| CN117035285A (en) * | 2023-07-25 | 2023-11-10 | 上海智租物联科技有限公司 | Method for guiding user to change power based on real-time recommendation mode on big data line |
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2020
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115359646A (en) * | 2022-08-18 | 2022-11-18 | 网电楚创智慧能源湖北有限公司 | Battery replacement vehicle scheduling method and system based on vehicle-mounted terminal |
| CN115359646B (en) * | 2022-08-18 | 2024-06-14 | 网电楚创智慧能源湖北有限公司 | Vehicle-mounted terminal-based vehicle replacement scheduling method and system |
| CN115284965A (en) * | 2022-09-29 | 2022-11-04 | 西华大学 | Battery replacement station preselection method of battery replacement type commercial vehicle based on combination optimization method |
| CN115284965B (en) * | 2022-09-29 | 2022-12-13 | 西华大学 | Battery replacement station preselection method of battery replacement type commercial vehicle based on combination optimization method |
| CN116208664A (en) * | 2023-02-02 | 2023-06-02 | 北京云能互联科技有限公司 | Information pushing method and system |
| CN116208664B (en) * | 2023-02-02 | 2023-12-08 | 北京云能互联科技有限公司 | Information pushing method |
| CN116865387A (en) * | 2023-07-04 | 2023-10-10 | 泰安鸿瑞信息科技有限公司 | Sharable intelligent power conversion resource management platform based on Internet of things |
| CN116865387B (en) * | 2023-07-04 | 2024-01-23 | 泰安鸿瑞信息科技有限公司 | Sharable intelligent power conversion resource management platform based on Internet of things |
| CN117035285A (en) * | 2023-07-25 | 2023-11-10 | 上海智租物联科技有限公司 | Method for guiding user to change power based on real-time recommendation mode on big data line |
| CN117035285B (en) * | 2023-07-25 | 2024-04-12 | 上海智租物联科技有限公司 | Method for guiding user to change power based on real-time recommendation mode on big data line |
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