CN108229788B - Point distribution method and device for charging and replacing power station, storage medium and processor - Google Patents
Point distribution method and device for charging and replacing power station, storage medium and processor Download PDFInfo
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Abstract
The invention provides a point distribution method and device for a charging and replacing power station, a storage medium and a processor, wherein the method comprises the following steps: determining the traffic flow distribution condition of a preset city within a preset time period; drawing a traffic flow distribution grid graph of a preset city in a preset time period according to the traffic flow distribution condition; determining the distribution quantity of the electric automobile in a traffic flow distribution grid diagram; predicting the battery charging and replacing requirements of the electric automobile by using the electric quantity consumption rule of the electric automobile and the distribution quantity of the electric automobile; converting the traffic flow distribution grid graph into a charging and switching charge grid graph of the electric automobile according to the charging and switching demand of the electric automobile and the distribution quantity of the electric automobile; and determining the distribution point of the charging station in the preset city in the charging and charging grid diagram by using the determined load distance. According to the invention, the problem that the charging and replacing power station can not be distributed by a systematic distribution scheme in the prior art is solved, and the effect of distributing the charging and replacing power station according to the urban condition of the system is achieved.
Description
Technical Field
The invention relates to the field of communication, in particular to a point distribution method and device of a charging and replacing power station, a storage medium and a processor.
Background
With the rise of electric vehicles, the demand for charging and replacing batteries of electric vehicles is more and more urgent. In different cities, how to arrange charging and exchanging stations becomes an important project in the city. The distribution point of the charging and replacing power station directly influences the popularization and application of the new energy automobile and plays an important role in the development of cities. The existing charging and replacing power stations are generally arranged at the accessories of parking or a community, are small in number and cannot be adapted to the distribution points of the existing electric vehicles. There is no system stationing scheme to statione the charging and exchanging station.
In view of the above technical problems, no effective solution has been proposed in the related art.
Disclosure of Invention
The embodiment of the invention provides a point distribution method and device for a charging and replacing power station, a storage medium and a processor, which are used for at least solving the problem that no point distribution scheme of a system exists in the related art for carrying out point distribution on the charging and replacing power station.
According to an embodiment of the invention, a point distribution method for a charging and replacing power station is provided, which includes: determining the traffic flow distribution condition of a preset city within a preset time period; drawing a traffic flow distribution grid graph of the preset city in the preset time period according to the traffic flow distribution condition; determining the distribution quantity of the electric automobile in the traffic flow distribution grid diagram; predicting the battery charging and replacing requirements of the electric automobile by using the electric quantity consumption rule of the electric automobile and the distribution quantity of the electric automobile; converting the vehicle flow distribution grid graph into a charging and battery replacing grid graph of the electric automobile according to the charging and battery replacing requirements of the electric automobile and the distribution quantity of the electric automobile; and determining the distribution point of the charging and replacing power station in the preset city in the charging and replacing power grid diagram by using the determined load distance.
Optionally, determining, in the charging and charging battery grid map, the location of the charging and charging station in the predetermined city by using the determined load distance includes: determining market demands of charging and replacing power stations in the predetermined city; determining a planning area of the charging and replacing power station to be established in the charging and replacing charge grid diagram according to the market demand; determining the number of the charging and replacing stations to be established in the planning area; determining the number of distribution positions of the charging and replacing power stations to be established in the planning area; and under the condition that the number of the point distribution positions is smaller than or equal to the number of the point distribution positions, determining the point distribution of the charging and replacing station in the preset city according to the number of the charging and replacing stations to be established and the number of the point distribution positions of the charging and replacing stations to be established on the principle that the load distance is the minimum.
Optionally, the load distance is determined by: determining a load point of the charging and replacing power station; and obtaining the load distance by the product of the load size of the load point and the distance of the charging and replacing power station corresponding to the load point.
Optionally, after determining the load distance, the method further comprises: counting the total load distances of all charging and replacing power stations to be established in the preset city; and adjusting the distribution point of the charging and replacing power station according to the total load distance.
According to another embodiment of the present invention, there is provided a point distribution apparatus for a charging and replacing power station, including: the first determining module is used for determining the traffic flow distribution condition of a preset city in a preset time period; the drawing module is used for drawing a traffic flow distribution grid map of the preset city in the preset time period according to the traffic flow distribution condition; the second determination module is used for determining the distribution quantity of the electric automobile in the traffic flow distribution grid map; the prediction module is used for predicting the battery charging and replacing requirements of the electric automobile by using the electric quantity consumption rule of the electric automobile and the distribution quantity of the electric automobile; the conversion module is used for converting the vehicle flow distribution grid map into a charging and conversion charge grid map of the electric automobile according to the charging and conversion demand of the electric automobile and the distribution quantity of the electric automobile; a third determining module, configured to determine, in the charging and charging grid map, a point arrangement of the charging and charging station in the predetermined city by using the determined load distance.
Optionally, the third determining module includes: the first determination unit is used for determining the market demand of the charging and replacing power station in the preset city; a second determining unit, configured to determine, according to the market demand, a planning area of the charging and swapping station to be established in the charging and swapping charge grid map; a third determining unit, configured to determine, in the planning area, the number of the charging and swapping stations to be established; a fourth determination unit, configured to determine, in the planning area, the number of distribution positions of the charging and replacing station to be established; a fifth determining unit, configured to determine, on the basis of the principle that the load distance is minimum, a point arrangement of the charging and swapping station in the predetermined city according to the number of the charging and swapping stations to be established and the number of the point arrangement positions of the charging and swapping stations to be established, when the number of the point arrangement positions is smaller than or equal to the number of the point arrangement positions.
Optionally, the apparatus further includes a fourth determining module, configured to determine the load distance, where the fourth determining module includes: a sixth determining unit, configured to determine a load point of the charging and swapping station; and the processing unit is used for obtaining the load distance by the product of the load size of the load point and the distance of the charging and swapping station corresponding to the load point.
Optionally, the apparatus further comprises: the counting module is used for counting the total load distance of all charging and replacing power stations to be established in the preset city after the load distance is determined; and the adjusting module is used for adjusting the distribution point of the charging and replacing power station according to the total load distance.
According to yet another embodiment of the present invention, there is also provided a storage medium including a stored program, wherein the program performs any one of the above methods when executed.
According to yet another embodiment of the present invention, there is also provided a processor for executing a program, wherein the program executes to perform the method of any one of the above.
According to the invention, when the point distribution of the charging and replacing power station is carried out, the traffic flow distribution condition of the preset city can be determined within the preset time period; then, drawing a traffic flow distribution grid graph of a preset city in a preset time period according to the traffic flow distribution condition; determining the distribution quantity of the electric automobile in a traffic flow distribution grid diagram; predicting the battery charging and replacing requirements of the electric automobile by using the electric quantity consumption rule of the electric automobile and the distribution quantity of the electric automobile; converting the traffic flow distribution grid graph into a charging and switching charge grid graph of the electric automobile according to the charging and switching demand of the electric automobile and the distribution quantity of the electric automobile; and determining the distribution point of the charging station in the preset city in the charging and charging grid diagram by using the determined load distance. Therefore, the problem that the charging and exchanging station cannot be arranged by a systematic arrangement scheme in the prior art can be solved, and the effect of arranging the charging and exchanging station according to the urban condition of the system is achieved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the invention and together with the description serve to explain the invention without limiting the invention. In the drawings:
fig. 1 is a block diagram of a hardware structure of a mobile terminal of a point placement method for a charging and swapping station according to an embodiment of the present invention;
fig. 2 is a flowchart of a point placement method of a charging and swapping station according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of traffic flow grid statistical results in Beijing area at a certain moment;
fig. 4 is a block diagram of a point placement device of a charging and swapping station according to an embodiment of the present invention.
Detailed Description
The invention will be described in detail hereinafter with reference to the accompanying drawings in conjunction with embodiments. It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict.
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.
Example 1
The method provided by the first embodiment of the present application may be executed in a mobile terminal, a computer terminal, or a similar computing device. Taking the operation on the mobile terminal as an example, fig. 1 is a hardware structure block diagram of the mobile terminal of a point placement method of a charging and swapping station according to an embodiment of the present invention. As shown in fig. 1, the mobile terminal 10 may include one or more (only one shown in fig. 1) processors 102 (the processor 102 may include, but is not limited to, a processing device such as a microprocessor MCU or a programmable logic device FPGA), a memory 104 for storing data, and a transmitting device 106 for communication functions. It will be understood by those skilled in the art that the structure shown in fig. 1 is only an illustration and is not intended to limit the structure of the electronic device. For example, the mobile terminal 10 may also include more or fewer components than shown in FIG. 1, or have a different configuration than shown in FIG. 1.
The memory 104 may be configured to store software programs and modules of application software, such as program instructions/modules corresponding to the point placement method of the charging and replacing station in the embodiment of the present invention, and the processor 102 executes various functional applications and data processing by running the software programs and modules stored in the memory 104, so as to implement the method described above. The memory 104 may include high speed random access memory, and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some instances, the memory 104 may further include memory located remotely from the processor 102, which may be connected to the mobile terminal 10 via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The transmission device 106 is used for receiving or transmitting data via a network. Specific examples of the network described above may include a wireless network provided by a communication provider of the mobile terminal 10. In one example, the transmission device 106 includes a Network adapter (NIC) that can be connected to other Network devices through a base station to communicate with the internet. In one example, the transmission device 106 can be a Radio Frequency (RF) module, which is used to communicate with the internet in a wireless manner.
In this embodiment, a point distribution method for a charging and swapping station is provided, and fig. 2 is a flowchart of the point distribution method for the charging and swapping station according to the embodiment of the present invention, as shown in fig. 2, the flow includes the following steps:
step S202, determining traffic flow distribution conditions of a preset city within a preset time period;
step S204, drawing a traffic flow distribution grid map of the preset city in the preset time period according to the traffic flow distribution condition;
step S206, determining the distribution quantity of the electric automobile in the traffic flow distribution grid map;
step S208, predicting the battery charging and replacing requirement of the electric automobile by using the electric quantity consumption rule of the electric automobile and the distribution quantity of the electric automobile;
step S210, converting the vehicle flow distribution grid map into a charging and conversion charge grid map of the electric automobile according to the charging and conversion demand of the electric automobile and the distribution quantity of the electric automobile;
step S212, determining the distribution point of the charging station in the predetermined city in the charging and charging grid map by using the determined load distance.
In this embodiment, the preset time period may be a time period in a city where traffic flow is relatively large, such as a peak time period during commuting.
Through the steps, when the point distribution of the charging and replacing power station is carried out, the traffic flow distribution condition of the preset city can be determined in the preset time period; then, drawing a traffic flow distribution grid graph of a preset city in a preset time period according to the traffic flow distribution condition; determining the distribution quantity of the electric automobile in a traffic flow distribution grid diagram; predicting the battery charging and replacing requirements of the electric automobile by using the electric quantity consumption rule of the electric automobile and the distribution quantity of the electric automobile; converting the traffic flow distribution grid graph into a charging and switching charge grid graph of the electric automobile according to the charging and switching demand of the electric automobile and the distribution quantity of the electric automobile; and determining the distribution point of the charging station in the preset city in the charging and charging grid diagram by using the determined load distance. Therefore, the problem that the charging and exchanging station cannot be arranged by a systematic arrangement scheme in the prior art can be solved, and the effect of arranging the charging and exchanging station according to the urban condition of the system is achieved.
Alternatively, the execution subject of the above steps may be a terminal or the like, but is not limited thereto.
In an optional embodiment, determining, in the charging and charging grid map, an address of the charging and charging station in the predetermined city using the determined load distance includes: determining the market demand of the charging and replacing power station in the preset city; determining a planning area of the charging and replacing power station to be established in the charging and replacing charge grid diagram according to the market demand; determining the number of the charging and replacing stations to be established in the planning area; determining the number of distribution positions of the charging and replacing stations to be established in the planning area; and under the condition that the number of the point distribution positions is smaller than or equal to the number of the point distribution positions, determining the point distribution of the charging and replacing station in the preset city according to the number of the charging and replacing stations to be established and the number of the point distribution positions of the charging and replacing stations to be established on the principle that the load distance is the minimum. In this embodiment, the planning area is an area where the charging and swapping stations are preset, and the charging and swapping stations can be reasonably allocated according to the data volume of the distribution point position and the number of the charging and swapping stations.
In an alternative embodiment, the method comprises: the load distance is determined by: determining a load point of the charging and replacing power station; and obtaining the load distance by multiplying the load size of the load point and the distance of the charging and replacing power station corresponding to the load point. In the embodiment, the accuracy of point distribution is improved by calculating the load distance.
In an optional embodiment, after determining the load distance, the method further comprises: counting the total load distances of all charging and replacing power stations to be established in the preset city; and adjusting the distribution point of the charging and replacing power station according to the total load distance. In this embodiment, adjusting the point placement of the charging and replacing power station according to the total load distance increases the accuracy of the point placement scheme.
The present invention will be described in detail with reference to the following specific examples:
in this embodiment, a point arrangement scheme of charging piles (corresponding to the charging and exchanging stations described above) is preliminarily determined with a minimum total load distance as a target, mainly considering grid-type time-varying statistics of actual urban traffic flow as a known condition. The embodiment mainly comprises the following steps:
(1) fig. 3 is a schematic diagram of a traffic flow grid statistical result in the beijing area at a certain time, as shown in fig. 3, a grid is divided by longitude and latitude, the difference of color shades represents that traffic flows in the grid in the time period are different, and similar statistical data can be obtained for the traffic flow distribution condition in the next time period. On the premise that the grid precision is high enough, the urban traffic flow change situation can be described accurately through the grid.
(2) Establishing a charging load: on the basis of the urban traffic flow time-varying grid statistics shown in the step (1), the electric vehicle charging and battery-changing demand in the grid is predicted by investigating the statistical rule of electric vehicle electric quantity distribution, namely, the gridded traffic flow is converted into a gridded charging and battery-changing load.
(3) Charging pile distribution: after the grid distribution model of the electric vehicle battery charging and replacing requirements is established as described in the step (2), firstly, the number of the charging piles required in a planning area is estimated by combining the research on the market requirements of the urban battery charging and replacing facilities of the subject 1; secondly, combining the actual situation of the planning area to obtain the number of the positions of the to-be-selected distribution points; and finally, on the basis that the number of the distribution points to be selected is not exceeded, the charging pile distribution scheme is obtained preliminarily on the basis that the total load distance of the planning scheme is the minimum.
For any load point in the gridding, the product of the load size and the distance of the corresponding charging station is the load distance, and the load distances of all the load points are counted to obtain the total load distance of the point distribution scheme.
On the premise of the minimum load distance, the expression is as follows:
in the above formula: n is for filling electric pileTotal number of dots, NLIs the total number of load points, T is the statistical period, li,jA distance L of a load point j from a corresponding charging pile distribution position i at the moment t under the planning schemei,tThe magnitude of the load point i at time t.
Through the above description of the embodiments, those skilled in the art can clearly understand that the method according to the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but the former is a better implementation mode in many cases. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which is stored in a storage medium (e.g., ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal device (e.g., a mobile phone, a computer, a server, or a network device) to execute the method according to the embodiments of the present invention.
Example 2
In this embodiment, a point placement device for a charging and replacing power station is further provided, and the device is used to implement the foregoing embodiments and preferred embodiments, and the description of the device is omitted. As used below, the term "module" may be a combination of software and/or hardware that implements a predetermined function. Although the means described in the embodiments below are preferably implemented in software, an implementation in hardware, or a combination of software and hardware is also possible and contemplated.
Fig. 4 is a block diagram of a point arranging apparatus of a charging and swapping station according to an embodiment of the present invention, and as shown in fig. 4, the apparatus includes: a first determination module 402, a rendering module 404, a second determination module 406, a prediction module 408, a conversion module 410, and a third determination module 412, which are described in detail below:
a first determining module 402, configured to determine traffic flow distribution conditions of a predetermined city within a preset time period; a drawing module 404, connected to the first determining module 402, for drawing a traffic flow distribution grid map of the predetermined city within the preset time period according to the traffic flow distribution; a second determining module 406, connected to the drawing module 404, for determining the distribution quantity of the electric vehicle in the traffic flow distribution grid map; a prediction module 408, connected to the second determining module 406, for predicting a charging demand of the electric vehicle according to an electric power consumption rule of the electric vehicle and a distribution quantity of the electric vehicle; a conversion module 410, connected to the prediction module 408, for converting the traffic flow distribution grid map into a charging/switching charge grid map of the electric vehicle according to the charging/switching demand of the electric vehicle and the distribution quantity of the electric vehicle; a third determining module 412, connected to the converting module 410, for determining the distribution point of the charging station in the predetermined city in the charging grid map by using the determined load distance.
In an alternative embodiment, the third determining module 412 includes: the first determining unit is used for determining the market demand of the charging and replacing power station in the preset city; a second determining unit, configured to determine, according to the market demand, a planning area of the charging and replacing power station to be established in the charging and replacing charge grid map; a third determination unit configured to determine the number of the charging and replacing stations to be established in the planned area; a fourth determination unit configured to determine the number of distribution positions of the charging and replacing station to be established in the planned area; and a fifth determining unit, configured to determine, when the number of the point distribution positions is smaller than or equal to the number of the point distribution positions, a point distribution of the charging and swapping station in the predetermined city according to the number of the charging and swapping stations to be established and the number of the point distribution positions of the charging and swapping stations to be established on the basis of a principle that the load distance is the smallest.
In an optional embodiment, the apparatus further includes a fourth determining module, configured to determine the load distance, where the fourth determining module includes: a sixth determining unit, configured to determine a load point of the charging and swapping station; and a processing unit, configured to obtain the load distance by multiplying the load magnitude at the load point by the distance of the charging and swapping station corresponding to the load point.
In an optional embodiment, the apparatus further comprises: the counting module is used for counting the total load distance of all charging and replacing power stations to be established in the preset city after the load distance is determined; and the adjusting module is used for adjusting the distribution point of the charging and replacing power station according to the total load distance.
It should be noted that, the above modules may be implemented by software or hardware, and for the latter, the following may be implemented, but not limited to: the modules are all positioned in the same processor; alternatively, the modules are respectively located in different processors in any combination.
An embodiment of the present invention further provides a storage medium including a stored program, where the program executes any one of the methods described above.
Alternatively, in the present embodiment, the storage medium may be configured to store program codes for executing the above steps.
Optionally, in this embodiment, the storage medium may include, but is not limited to: various media capable of storing program codes, such as a usb disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic disk, or an optical disk.
Embodiments of the present invention also provide a processor configured to execute a program, where the program executes to perform any of the steps in the method.
Optionally, the specific examples in this embodiment may refer to the examples described in the above embodiments and optional implementation manners, and this embodiment is not described herein again.
It will be apparent to those skilled in the art that the modules or steps of the present invention described above may be implemented by a general purpose computing device, they may be centralized on a single computing device or distributed across a network of multiple computing devices, and alternatively, they may be implemented by program code executable by a computing device, such that they may be stored in a storage device and executed by a computing device, and in some cases, the steps shown or described may be performed in an order different than that described herein, or they may be separately fabricated into individual integrated circuit modules, or multiple ones of them may be fabricated into a single integrated circuit module. Thus, the present invention is not limited to any specific combination of hardware and software.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the principle of the present invention should be included in the protection scope of the present invention.
Claims (6)
1. A point distribution method for a charging and replacing power station is characterized by comprising the following steps:
determining the traffic flow distribution condition of a preset city within a preset time period;
drawing a traffic flow distribution grid graph of the preset city in the preset time period according to the traffic flow distribution condition;
determining the distribution quantity of the electric automobile in the traffic flow distribution grid diagram;
predicting the battery charging and replacing requirements of the electric automobile by using the electric quantity consumption rule of the electric automobile and the distribution quantity of the electric automobile;
converting the vehicle flow distribution grid graph into a charging and battery replacing grid graph of the electric automobile according to the charging and battery replacing requirements of the electric automobile and the distribution quantity of the electric automobile;
determining the distribution points of the charging and replacing power stations in the preset city in the charging and replacing power grid diagram by using the determined load distance;
wherein determining, in the charging and charging battery grid map, the location of the charging and charging station in the predetermined city by using the determined load distance comprises:
determining market demands of charging and replacing power stations in the predetermined city;
determining a planning area of the charging and replacing power station to be established in the charging and replacing charge grid diagram according to the market demand;
determining the number of the charging and replacing stations to be established in the planning area;
determining the number of distribution positions of the charging and replacing power stations to be established in the planning area;
under the condition that the number of the point distribution positions is smaller than or equal to the number of the point distribution positions, determining the point distribution of the charging and replacing station in the preset city according to the number of the charging and replacing stations to be established and the number of the point distribution positions of the charging and replacing stations to be established on the principle that the load distance is the minimum;
the load distance is determined by:
determining a load point of the charging and replacing power station;
and obtaining the load distance by the product of the load size of the load point and the distance of the charging and replacing power station corresponding to the load point.
2. The method of claim 1, wherein after determining the load distance, the method further comprises:
counting the total load distances of all charging and replacing power stations to be established in the preset city;
and adjusting the distribution point of the charging and replacing power station according to the total load distance.
3. A point distribution device of a charging and replacing station is characterized by comprising:
the first determining module is used for determining the traffic flow distribution condition of a preset city in a preset time period;
the drawing module is used for drawing a traffic flow distribution grid map of the preset city in the preset time period according to the traffic flow distribution condition;
the second determination module is used for determining the distribution quantity of the electric automobile in the traffic flow distribution grid map;
the prediction module is used for predicting the battery charging and replacing requirements of the electric automobile by using the electric quantity consumption rule of the electric automobile and the distribution quantity of the electric automobile;
the conversion module is used for converting the vehicle flow distribution grid map into a charging and conversion charge grid map of the electric automobile according to the charging and conversion demand of the electric automobile and the distribution quantity of the electric automobile;
a third determining module, configured to determine, in the charging and charging grid map, a point arrangement of the charging and charging station in the predetermined city by using the determined load distance;
wherein the third determining module comprises:
the first determination unit is used for determining the market demand of the charging and replacing power station in the preset city;
a second determining unit, configured to determine, according to the market demand, a planning area of the charging and swapping station to be established in the charging and swapping charge grid map;
a third determining unit, configured to determine, in the planning area, the number of the charging and swapping stations to be established;
a fourth determination unit, configured to determine, in the planning area, the number of distribution positions of the charging and replacing station to be established;
a fifth determining unit, configured to determine, on the basis of the principle that the load distance is minimum, a point arrangement of the charging and swapping station in the predetermined city according to the number of the charging and swapping stations to be established and the number of the point arrangement positions of the charging and swapping stations to be established, when the number of the point arrangement positions is smaller than or equal to the number of the point arrangement positions;
the apparatus further comprises a fourth determining module for determining the load distance, wherein the fourth determining module comprises:
a sixth determining unit, configured to determine a load point of the charging and swapping station;
and the processing unit is used for obtaining the load distance by the product of the load size of the load point and the distance of the charging and swapping station corresponding to the load point.
4. The apparatus of claim 3, further comprising:
the counting module is used for counting the total load distance of all charging and replacing power stations to be established in the preset city after the load distance is determined;
and the adjusting module is used for adjusting the distribution point of the charging and replacing power station according to the total load distance.
5. A storage medium, characterized in that the storage medium comprises a stored program, wherein the program when executed performs the method of claim 1 or 2.
6. A processor, characterized in that the processor is configured to run a program, wherein the program when running performs the method of claim 1 or 2.
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| CN102722767A (en) * | 2012-07-02 | 2012-10-10 | 山东鲁能智能技术有限公司 | Electromobile charging and exchanging power station stationing and planning system and method |
| CN102880921A (en) * | 2012-10-16 | 2013-01-16 | 山东电力集团公司电力科学研究院 | Method for optimizing site selection of electric vehicle charging stations |
| CN104866915A (en) * | 2015-05-05 | 2015-08-26 | 湖南大学 | Optimized planning method of electric vehicle charging station based on whole life cycle cost |
| CN105447602A (en) * | 2016-01-01 | 2016-03-30 | 三峡大学 | Electric automobile power charging and converting station optimization arrangement system |
| CN106355294A (en) * | 2016-09-26 | 2017-01-25 | 浙江工业大学 | Site selection and capacity determination method of electric vehicle (EV) charging station for large-scale complicated power distribution network |
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Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN102722767A (en) * | 2012-07-02 | 2012-10-10 | 山东鲁能智能技术有限公司 | Electromobile charging and exchanging power station stationing and planning system and method |
| CN102880921A (en) * | 2012-10-16 | 2013-01-16 | 山东电力集团公司电力科学研究院 | Method for optimizing site selection of electric vehicle charging stations |
| CN104866915A (en) * | 2015-05-05 | 2015-08-26 | 湖南大学 | Optimized planning method of electric vehicle charging station based on whole life cycle cost |
| CN105447602A (en) * | 2016-01-01 | 2016-03-30 | 三峡大学 | Electric automobile power charging and converting station optimization arrangement system |
| CN106355294A (en) * | 2016-09-26 | 2017-01-25 | 浙江工业大学 | Site selection and capacity determination method of electric vehicle (EV) charging station for large-scale complicated power distribution network |
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