CN114818953A - Vehicle operation management method, device, equipment and medium - Google Patents
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Abstract
The invention discloses a vehicle operation management method, a device, equipment and a medium. The method comprises the following steps: acquiring power change data of each power change station in a preset historical time period; classifying the battery swapping data according to preset dimensionality, and calculating the battery swapping activity of each vehicle according to the classified battery swapping data; and determining a vehicle operation management strategy for the corresponding vehicle type according to the battery replacement activity of each vehicle. The technical scheme of the embodiment fills a technical gap of determining the vehicle operation strategy according to the battery replacement data of the battery replacement station, and realizes that a group of new reference indexes are provided for the formulation of the vehicle operation scheme according to the battery replacement data of the battery replacement station so as to formulate a more efficient and accurate vehicle operation scheme.
Description
Technical Field
The invention relates to the technical field of battery replacement station data analysis, in particular to a vehicle operation management method, device, equipment and medium.
Background
Trade the power station and be the place that provides the energy for the new forms of energy car to it is long longer when quick convenient mode has been solved to new forms of energy car and has been charged, fills the not enough scheduling problem of electric pile quantity. Most vehicles served by the battery replacement station are operation vehicles, such as taxis and network appointment vehicles. The battery replacement activity of the battery replacement station can be used as one of indexes of the operation evaluation of the battery replacement station, and the vehicle operation condition can be effectively reflected to a certain degree. However, at present, no scheme is provided for guiding the operation of the vehicle according to the battery replacement activity of the battery replacement station or the battery replacement activity of the vehicle.
Disclosure of Invention
The invention provides a vehicle service strategy determination method, a vehicle service strategy determination device, vehicle service strategy determination equipment and a vehicle service strategy determination medium, which are used for providing a group of new reference indexes for vehicle operation scheme formulation according to power change station power change data so as to formulate a more efficient and accurate vehicle operation scheme.
According to an aspect of the present invention, there is provided a vehicle service policy determination method, the method including:
acquiring power change data of each power change station in a preset historical time period;
classifying the battery swapping data according to preset dimensionality, and calculating the battery swapping activity of each vehicle according to the classified battery swapping data;
and determining a vehicle operation management strategy for the corresponding vehicle type according to the battery replacement activity of each vehicle.
Optionally, the battery swapping data includes:
the method comprises the following steps of replacing the power station address, the vehicle type of the battery replacing vehicle, the purpose of the battery replacing vehicle, the replacing time of the battery replacing vehicle and the running mileage of the battery replacing vehicle.
Optionally, the classifying the battery swapping data according to a preset dimension includes:
and (4) carrying out battery swapping data classification by taking the battery swapping station address, the battery swapping vehicle type and the battery swapping vehicle application as classification dimensions.
Optionally, the calculating the battery swapping activity of each vehicle type according to the sorted battery swapping data includes:
calculating the corresponding reference day running mileage of each vehicle type in the address range of each power conversion station under different purposes according to the running mileage of the vehicle of the same vehicle type and the same purpose in the address range of each power conversion station in a preset historical time period;
determining the benchmark daily electricity changing times of the corresponding vehicle type and the purpose in the address range of the electricity changing station according to the benchmark daily running mileage of the vehicle of each vehicle type and each purpose and the standard endurance mileage of the corresponding vehicle type;
and determining the daily battery replacement activity of each vehicle according to the single daily battery replacement times of each vehicle and the reference daily battery replacement times of the corresponding vehicle type and the vehicle with the application.
Optionally, the calculating, according to the running mileage of the vehicle of the same vehicle type and the same use in each swapping station address range within the preset historical time period, the corresponding reference daily running mileage of each vehicle type in each swapping station address range under different uses includes:
counting the monthly running total mileage of the vehicles with the same vehicle type and the same purpose in the address range of each power conversion station in the preset historical time period by taking a month as a unit;
according to the monthly running total mileage, the number of days corresponding to the monthly degree and the number of vehicles which correspond to the same vehicle type and have the same purpose, the average daily running mileage of each month in the preset historical time period is determined;
and determining the benchmark daily operating mileage according to the sum of the average daily operating mileage of each month within the preset historical time period and the number of months within the preset historical time period.
Optionally, the method further includes:
and calculating the single-vehicle battery changing activity degrees in different time granularities or different battery changing station address ranges according to the single-vehicle daily battery changing activity degrees.
Optionally, the determining a vehicle operation management strategy for the corresponding vehicle type according to the battery replacement activity of each vehicle includes:
matching corresponding power swapping settlement preferential schemes for the vehicles according to the power swapping activity of the vehicles; alternatively, the first and second electrodes may be,
and providing corresponding passenger flow information for each vehicle according to the power change activity of each vehicle.
According to another aspect of the present invention, there is provided a vehicle operation management apparatus including:
the battery swapping data acquisition module is used for acquiring battery swapping data of each battery swapping station in a preset historical time period;
the battery swapping activity degree calculation module is used for classifying the battery swapping data according to preset dimensionality and calculating the battery swapping activity degree of each vehicle type according to the classified battery swapping data;
and the operation management module is used for determining a vehicle operation management strategy for the corresponding vehicle type according to the battery replacement activity of each vehicle type.
Optionally, the battery swapping data includes:
the method comprises the following steps of replacing the power station address, the vehicle type of the battery replacing vehicle, the purpose of the battery replacing vehicle, the replacing time of the battery replacing vehicle and the running mileage of the battery replacing vehicle.
Optionally, the power conversion activity calculation module is specifically configured to:
and (4) carrying out battery swapping data classification by taking the battery swapping station address, the battery swapping vehicle type and the battery swapping vehicle application as classification dimensions.
Optionally, the power conversion activity calculation module is specifically configured to:
calculating the corresponding reference day running mileage of each vehicle type in the address range of each power conversion station under different purposes according to the running mileage of the vehicle of the same vehicle type and the same purpose in the address range of each power conversion station in a preset historical time period;
determining the benchmark daily electricity changing times of the corresponding vehicle type and the purpose in the address range of the electricity changing station according to the benchmark daily running mileage of the vehicle of each vehicle type and each purpose and the standard endurance mileage of the corresponding vehicle type;
and determining the daily battery replacement activity of each vehicle according to the single daily battery replacement times of each vehicle and the reference daily battery replacement times of the corresponding vehicle type and the vehicle with the application.
Optionally, the power conversion activity calculation module is specifically configured to:
counting the monthly running total mileage of the vehicles with the same vehicle type and the same purpose in the address range of each power conversion station in the preset historical time period by taking a month as a unit;
determining the average daily running mileage of each month in the preset historical time period according to the monthly running total mileage, the number of days corresponding to the month and the number of vehicles which correspond to the same vehicle type and have the same purpose and are switched with electricity;
and determining the benchmark daily operating mileage according to the sum of the average daily operating mileage of each month within the preset historical time period and the number of months within the preset historical time period.
Optionally, the power conversion activity calculation module may be further configured to:
and calculating the single-vehicle battery changing activity degrees in different time granularities or different battery changing station address ranges according to the single-vehicle daily battery changing activity degrees.
Optionally, the operation management module is specifically configured to:
matching corresponding power swapping settlement preferential schemes for the vehicles according to the power swapping activity of the vehicles; alternatively, the first and second liquid crystal display panels may be,
and providing corresponding passenger flow information for each vehicle according to the power change activity of each vehicle.
According to another aspect of the present invention, there is provided an electronic apparatus including:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,
the memory stores a computer program executable by the at least one processor, the computer program being executable by the at least one processor to enable the at least one processor to perform the vehicle operation management method according to any of the embodiments of the present invention.
According to another aspect of the present invention, there is provided a computer-readable storage medium storing computer instructions for causing a processor to implement the vehicle operation management method according to any one of the embodiments of the present invention when executed.
According to the technical scheme of the embodiment of the invention, the power change data of each power change station in the preset historical time period is acquired; classifying the battery swapping data according to preset dimensionality, and calculating the battery swapping activity of each vehicle according to the classified battery swapping data; and determining a vehicle operation management strategy for the corresponding vehicle type according to the battery replacement activity of each vehicle. The technical scheme of the embodiment fills a technical gap of determining the vehicle operation strategy according to the battery replacement data of the battery replacement station, and realizes that a group of new reference indexes are provided for the formulation of the vehicle operation scheme according to the battery replacement data of the battery replacement station so as to formulate a more efficient and accurate vehicle operation scheme.
It should be understood that the statements in this section do not necessarily identify key or critical features of the embodiments of the present invention, nor do they necessarily limit the scope of the invention. Other features of the present invention will become apparent from the following description.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a flowchart of a vehicle operation management method according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a vehicle operation management device according to a second embodiment of the invention;
fig. 3 is a schematic structural diagram of an electronic device implementing a vehicle operation management method provided by a third embodiment of the present invention.
Detailed Description
In order to make the technical solutions of the present invention better understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
Example one
Fig. 1 is a flowchart of a vehicle operation management method according to an embodiment of the present invention, where the present embodiment is applicable to a scenario where an operation condition of a battery swapping station is analyzed and an operating vehicle is managed according to battery swapping data of the battery swapping station, and the method may be executed by a vehicle operation management device, where the vehicle operation management device may be implemented in a form of hardware and/or software, and the vehicle operation management device may be configured in a computer device or a server.
As shown in fig. 1, the method for vehicle operation management includes:
and S110, acquiring the power swapping data of each power swapping station in a preset historical time period.
Specifically, the acquired power change station data may be data acquired by the power change station management cloud platform at each power change station covered and managed by the power change station management cloud platform. The battery replacement data can comprise data such as a battery replacement station address, a battery replacement vehicle type, a battery replacement vehicle use, a battery replacement time of the battery replacement vehicle, and a running mileage of the battery replacement vehicle. And further comprising derived data obtained by performing data statistics according to the data such as the battery replacement station address, the vehicle type of the battery replacement vehicle, the use of the battery replacement vehicle, the replacement time of the battery replacement vehicle, the running mileage of the battery replacement vehicle and the like.
The preset historical time period may set a reasonable data statistics range according to the data statistics requirement, and considering that there is enough data volume to perform statistics, the reliability of the result is higher, for example, half a year (6 months) may be used as the historical time period for performing data statistics. Of course, a period of 7 months or even longer can be selected as the historical period of data statistics.
And S120, classifying the battery swapping data according to a preset dimensionality, and calculating the battery swapping activity of each vehicle according to the classified battery swapping data.
Due to the fact that the battery standards of the new energy vehicles of all brands are different, the types of the battery changing stations and the depth of vehicle types are bound, and the dependence degrees of the vehicles with different purposes on the battery changing stations are different, for example, private vehicles, taxis and network appointment vehicles are different in operation mode, the cruising mileage of different vehicle types is different, and therefore the battery changing requirements are different, and accurate battery changing activity of operation type passenger vehicles can be obtained only by distinguishing the vehicle types and the purposes.
In this embodiment, the battery swapping data is first classified by using the battery swapping station address, the vehicle type of the battery swapping vehicle, and the usage of the battery swapping vehicle as the classification dimensions. And then, calculating the power conversion activity of each purpose of each vehicle type according to the classified power conversion data.
The calculation process of the power conversion activity degree is as follows:
firstly, calculating the corresponding benchmark daily running mileage of each vehicle type in each power conversion station address range under different purposes according to the running mileage of the vehicle of the same vehicle type and the same purpose in each power conversion station address range in a preset historical time period; then, determining the benchmark daily electricity changing times of the corresponding vehicle type and the application in the address range of the electricity changing station according to the vehicle benchmark daily running mileage of each vehicle type and the standard endurance mileage of the corresponding vehicle type; and finally, determining the daily battery replacement activity of each vehicle according to the single daily battery replacement times of each vehicle and the reference daily battery replacement times of the corresponding vehicle type and the vehicle with the application.
In a real-time mode, when calculating the running mileage of the same vehicle type in each power change station address range and calculating the reference day running mileage corresponding to each vehicle type in each power change station address range, power change data of six months or more are collected, and then the monthly running total mileage with the same use of the same vehicle type in each power change station address range in a preset historical time period is counted by taking a month as a unit. The power conversion station address can be in a city unit, that is, power conversion data of all power conversion stations in a city range are integrated. The monthly running total mileage of the same vehicle type with the same purpose in the address range of each power exchange station in the preset historical time period is counted by taking a month as a unit, namely the normal running mileage of the vehicles with the same purpose and the same vehicle type in the same city in a natural month.
And determining the average daily running mileage of each month within a preset historical time period of vehicles with the same usage and the same type in the same city within a natural month according to the monthly running total mileage, the number of days corresponding to the month and the number of vehicles which are subjected to battery replacement and correspond to the same type and have the same usage. Can be expressed by the formula:
the number of vehicles is the total number of vehicles of the same vehicle type and the same purpose in the corresponding month.
Further, the reference day running mileage is determined according to the sum of the average day running mileage of each month within a preset historical time period and the number of months within the preset historical time period. Can be expressed by the formula:
further, the reference daily battery replacement frequency corresponding to the vehicle type and the application in the battery replacement station address range can be represented as follows:
determining the daily battery replacement activity of each vehicle according to the daily battery replacement times of each vehicle and the reference daily battery replacement times of the corresponding vehicle type and the vehicle with the application, wherein the daily battery replacement activity of each vehicle can be expressed as follows:
wherein, the bicycleThe vehicle type and the usage of (2) are the same as those corresponding to the corresponding reference daily battery change number.
In some embodiments, the single-vehicle battery replacement activity within different time granularities or different battery replacement station address ranges can be calculated according to the daily single-vehicle battery replacement activity. For example, a bicycle month activity may be calculated, which may be expressed as:
the total operation type passenger vehicle battery replacement activity can be calculated from different address dimensions:
the platform dimension refers to the calculated monthly charging activity degrees corresponding to all vehicles in the area covered by the charging station management cloud platform.
And S130, determining a vehicle operation management strategy for the corresponding vehicle type according to the battery replacement activity of each vehicle.
The vehicle battery replacement activity degree is one of important indexes of operation analysis of a battery replacement station, is the comparison of the actual battery replacement times of the vehicle and the reference battery replacement times, and can reflect the operation condition of the operation type vehicle and the dependence condition of the vehicle battery replacement from the index. By analyzing the battery replacement activity of each vehicle, the operation strategy of each vehicle can be matched, for example, vehicles with low battery replacement activity can provide passenger flow guide service, the operation capacity of the vehicles is improved, the mileage point reward strategy is adopted, and the operation enthusiasm of the vehicles is improved. For vehicles with high activity, the efficient operation experience of the vehicles can be analyzed, whether the power consumption is fast due to driving habits can also be analyzed, and the healthy driving habit guiding service is provided. Therefore, the vehicle battery replacement activity can guide accurate vehicle operation.
In a specific example, corresponding power change settlement preferential schemes can be matched for each vehicle according to the power change activity of each vehicle, and vehicles with higher power change activity can enjoy relatively higher power change discount, so that the operation enthusiasm of each vehicle owner is stimulated. Or corresponding passenger flow information is provided for each vehicle according to the power change activity of each vehicle, and for a user with low power change activity, the user can be combined with the service vehicle operation platform to provide some passenger flow information so as to increase the power change activity of each vehicle.
According to the technical scheme of the embodiment, the power swapping data of each power swapping station in the preset historical time period is acquired; classifying the battery swapping data according to preset dimensionality, and calculating the battery swapping activity of each vehicle according to the classified battery swapping data; in addition, in the process of calculating the battery replacement activity, the evaluation of the vehicle activity from different dimensions, from cities to full platforms and from vehicle types to operation types can be carried out by considering different daily operation capacities of different urban operation passenger vehicles, different driving mileage of different vehicle types and different operation modes of operation vehicles with different purposes, so that a more accurate battery replacement activity calculation result can be obtained. And determining a vehicle operation management strategy for the corresponding vehicle type according to the battery replacement activity of each vehicle. The technical scheme of the embodiment fills a technical gap of determining the vehicle operation strategy according to the battery replacement data of the battery replacement station, and realizes that a group of new reference indexes are provided for the formulation of the vehicle operation scheme according to the battery replacement data of the battery replacement station so as to formulate a more efficient and accurate vehicle operation scheme.
Example two
Fig. 2 is a schematic structural diagram of a vehicle operation management device according to a second embodiment of the present invention. As shown in fig. 2, the apparatus includes: the system comprises a power swapping data acquisition module 210, a power swapping activity calculation module 220 and an operation management module 230.
The power swapping data acquiring module 210 is configured to acquire power swapping data of each power swapping station within a preset historical time period; the battery swapping activity calculation module 220 is configured to classify the battery swapping data according to a preset dimension, and calculate the battery swapping activity of each vehicle type according to the classified battery swapping data; and the operation management module 230 is configured to determine a vehicle operation management policy for the corresponding vehicle type according to the battery swapping activity of each vehicle type.
According to the technical scheme of the embodiment, the power swapping data of each power swapping station in the preset historical time period is acquired; classifying the battery swapping data according to a preset dimensionality, and calculating the battery swapping activity of each vehicle according to the classified battery swapping data; and determining a vehicle operation management strategy for the corresponding vehicle type according to the battery replacement activity of each vehicle. The technical scheme of the embodiment fills a technical gap of determining the vehicle operation strategy according to the battery replacement data of the battery replacement station, and realizes that a group of new reference indexes are provided for the formulation of the vehicle operation scheme according to the battery replacement data of the battery replacement station so as to formulate a more efficient and accurate vehicle operation scheme.
Optionally, the battery swapping data includes:
the method comprises the following steps of replacing the power station address, the vehicle type of the battery replacing vehicle, the purpose of the battery replacing vehicle, the replacing time of the battery replacing vehicle and the running mileage of the battery replacing vehicle.
Optionally, the power swapping activity calculation module 220 is specifically configured to:
and (4) carrying out battery swapping data classification by taking the battery swapping station address, the battery swapping vehicle type and the battery swapping vehicle application as classification dimensions.
Optionally, the power swapping activity calculation module 220 is specifically configured to:
calculating the corresponding reference day running mileage of each vehicle type in the address range of each power conversion station under different purposes according to the running mileage of the vehicle of the same vehicle type and the same purpose in the address range of each power conversion station in a preset historical time period;
determining the benchmark daily electricity changing times of the corresponding vehicle type and the purpose in the address range of the electricity changing station according to the benchmark daily running mileage of the vehicle of each vehicle type and each purpose and the standard endurance mileage of the corresponding vehicle type;
and determining the daily battery replacement activity of each vehicle according to the single daily battery replacement times of each vehicle and the reference daily battery replacement times of the corresponding vehicle type and the vehicle with the application.
Optionally, the power swapping activity calculation module 220 is specifically configured to:
counting the monthly running total mileage of the vehicles with the same vehicle type and the same purpose in the address range of each power conversion station in the preset historical time period by taking a month as a unit;
determining the average daily running mileage of each month in the preset historical time period according to the monthly running total mileage, the number of days corresponding to the month and the number of vehicles which correspond to the same vehicle type and have the same purpose and are switched with electricity;
and determining the benchmark daily operating mileage according to the sum of the average daily operating mileage of each month within the preset historical time period and the number of months within the preset historical time period.
Optionally, the power swapping activity calculation module 220 may be further configured to:
and calculating the single-vehicle battery changing activity degrees in different time granularities or different battery changing station address ranges according to the single-vehicle daily battery changing activity degrees.
Optionally, the operation management module 230 is specifically configured to:
matching corresponding power swapping settlement preferential schemes for the vehicles according to the power swapping activity of the vehicles; or providing corresponding passenger flow information for each vehicle according to the power change activity of each vehicle.
The vehicle operation management device provided by the embodiment of the invention can execute the vehicle operation management method provided by any embodiment of the invention, and has corresponding functional modules and beneficial effects of the execution method.
EXAMPLE III
FIG. 3 illustrates a schematic diagram of an electronic device 10 that may be used to implement an embodiment of the present invention. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. The electronic device may also represent various forms of mobile devices, such as personal digital assistants, cellular phones, smart phones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the inventions described and/or claimed herein.
As shown in fig. 3, the electronic device 10 includes at least one processor 11, and a memory communicatively connected to the at least one processor 11, such as a Read Only Memory (ROM)12, a Random Access Memory (RAM)13, and the like, wherein the memory stores a computer program executable by the at least one processor, and the processor 11 can perform various suitable actions and processes according to the computer program stored in the Read Only Memory (ROM)12 or the computer program loaded from a storage unit 18 into the Random Access Memory (RAM) 13. In the RAM 13, various programs and data necessary for the operation of the electronic apparatus 10 can also be stored. The processor 11, the ROM 12, and the RAM 13 are connected to each other via a bus 14. An input/output (I/O) interface 15 is also connected to bus 14.
A number of components in the electronic device 10 are connected to the I/O interface 15, including: an input unit 16 such as a keyboard, a mouse, or the like; an output unit 17 such as various types of displays, speakers, and the like; a storage unit 18 such as a magnetic disk, an optical disk, or the like; and a communication unit 19 such as a network card, modem, wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information/data with other devices via a computer network such as the internet and/or various telecommunication networks.
The processor 11 may be a variety of general and/or special purpose processing components having processing and computing capabilities. Some examples of processor 11 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various specialized Artificial Intelligence (AI) computing chips, various processors running machine learning model algorithms, a Digital Signal Processor (DSP), and any suitable processor, controller, microcontroller, or the like. The processor 11 performs the various methods and processes described above, such as the vehicle operation management method.
In some embodiments, the vehicle operation management method may be implemented as a computer program tangibly embodied in a computer-readable storage medium, such as storage unit 18. In some embodiments, part or all of the computer program may be loaded and/or installed onto the electronic device 10 via the ROM 12 and/or the communication unit 19. When the computer program is loaded into RAM 13 and executed by processor 11, one or more steps of the vehicle operation management method described above may be performed. Alternatively, in other embodiments, the processor 11 may be configured to perform the vehicle operation management method by any other suitable means (e.g., by means of firmware).
Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuitry, Field Programmable Gate Arrays (FPGAs), Application Specific Integrated Circuits (ASICs), Application Specific Standard Products (ASSPs), system on a chip (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs that are executable and/or interpretable on a programmable system including at least one programmable processor, which may be special or general purpose, receiving data and instructions from, and transmitting data and instructions to, a storage system, at least one input device, and at least one output device.
A computer program for implementing the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the computer programs, when executed by the processor, cause the functions/acts specified in the flowchart and/or block diagram block or blocks to be performed. A computer program can execute entirely on a machine, partly on a machine, as a stand-alone software package partly on a machine and partly on a remote machine or entirely on a remote machine or server.
In the context of the present invention, a computer-readable storage medium may be a tangible medium that can contain, or store a computer program for use by or in connection with an instruction execution system, apparatus, or device. A computer readable storage medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. Alternatively, the computer readable storage medium may be a machine readable signal medium. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
To provide for interaction with a user, the systems and techniques described here can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) by which a user can provide input to the electronic device. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic, speech, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a back-end component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such back-end, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), Wide Area Networks (WANs), blockchain networks, and the internet.
The computing system may include clients and servers. A client and server are generally remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server can be a cloud server, also called a cloud computing server or a cloud host, and is a host product in a cloud computing service system, so that the defects of high management difficulty and weak service expansibility in the traditional physical host and VPS service are overcome.
It should be understood that various forms of the flows shown above may be used, with steps reordered, added, or deleted. For example, the steps described in the present invention may be executed in parallel, sequentially, or in different orders, and are not limited herein as long as the desired results of the technical solution of the present invention can be achieved.
The above-described embodiments should not be construed as limiting the scope of the invention. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions may be made in accordance with design requirements and other factors. Any modification, equivalent replacement, and 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 vehicle operation management method, characterized by comprising:
acquiring power change data of each power change station in a preset historical time period;
classifying the battery swapping data according to preset dimensionality, and calculating the battery swapping activity of each vehicle according to the classified battery swapping data;
and determining a vehicle operation management strategy for the corresponding vehicle type according to the battery replacement activity of each vehicle.
2. The method of claim 1, wherein the swapping data comprises:
the method comprises the following steps of changing a power station address, changing a vehicle type of the changing vehicle, changing the use of the changing vehicle, changing the time of the changing vehicle and running mileage of the changing vehicle.
3. The method of claim 1 or 2, wherein the classifying the swapping data according to a preset dimension comprises:
and (4) carrying out battery swapping data classification by taking the battery swapping station address, the battery swapping vehicle type and the battery swapping vehicle application as classification dimensions.
4. The method of claim 3, wherein calculating the power swapping activity of each vehicle type according to the classified power swapping data comprises:
calculating the corresponding reference day running mileage of each vehicle type in the address range of each power conversion station under different purposes according to the running mileage of the vehicle of the same vehicle type and the same purpose in the address range of each power conversion station in a preset historical time period;
determining the benchmark daily electricity changing times of the corresponding vehicle type and the purpose in the address range of the electricity changing station according to the benchmark daily running mileage of the vehicle of each vehicle type and each purpose and the standard endurance mileage of the corresponding vehicle type;
and determining the daily battery replacement activity of each vehicle according to the single daily battery replacement times of each vehicle and the reference daily battery replacement times of the corresponding vehicle type and the vehicle with the application.
5. The method of claim 4, wherein the calculating the corresponding reference day running mileage of each vehicle type in each power conversion station address range under different purposes according to the vehicle running mileage of the same vehicle type and the same purpose in each power conversion station address range in the preset historical time period comprises:
counting the monthly running total mileage of the vehicles with the same vehicle type and the same purpose in the address range of each power conversion station in the preset historical time period by taking a month as a unit;
determining the average daily running mileage of each month in the preset historical time period according to the monthly running total mileage, the number of days corresponding to the month and the number of vehicles which correspond to the same vehicle type and have the same purpose and are switched with electricity;
and determining the benchmark daily operating mileage according to the sum of the average daily operating mileage of each month within the preset historical time period and the number of months within the preset historical time period.
6. The method of claim 4, further comprising:
and calculating the single-vehicle battery changing activity degrees in different time granularities or different battery changing station address ranges according to the single-vehicle daily battery changing activity degrees.
7. The method of claim 1, wherein determining a vehicle operation management strategy for a corresponding vehicle type according to the power conversion activity of each vehicle comprises:
matching corresponding power swapping settlement preferential schemes for the vehicles according to the power swapping activity of the vehicles; alternatively, the first and second electrodes may be,
and providing corresponding passenger flow information for each vehicle according to the power change activity of each vehicle.
8. A vehicle operation management apparatus, characterized by comprising:
the battery swapping data acquisition module is used for acquiring battery swapping data of each battery swapping station in a preset historical time period;
the battery swapping activity degree calculation module is used for classifying the battery swapping data according to preset dimensionality and calculating the battery swapping activity degree of each vehicle type according to the classified battery swapping data;
and the operation management module is used for determining a vehicle operation management strategy for the corresponding vehicle type according to the battery replacement activity of each vehicle type.
9. An electronic device, characterized in that the electronic device comprises:
at least one processor;
and a memory communicatively coupled to the at least one processor; wherein, the first and the second end of the pipe are connected with each other,
the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the vehicle operation management method of any one of claims 1-7.
10. A computer-readable storage medium storing computer instructions for causing a processor to implement the vehicle operations management method of any one of claims 1-7 when executed.
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| CN202210495075.6A CN114818953A (en) | 2022-05-07 | 2022-05-07 | Vehicle operation management method, device, equipment and medium |
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| CN202210495075.6A CN114818953A (en) | 2022-05-07 | 2022-05-07 | Vehicle operation management method, device, equipment and medium |
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