CN106295898A - A kind of method that charging pile is set - Google Patents

A kind of method that charging pile is set Download PDF

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CN106295898A
CN106295898A CN201610673658.8A CN201610673658A CN106295898A CN 106295898 A CN106295898 A CN 106295898A CN 201610673658 A CN201610673658 A CN 201610673658A CN 106295898 A CN106295898 A CN 106295898A
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charging
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determining
charging pile
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何若虚
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Combined With Kazuma New Energy Investment Co
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Abstract

The invention discloses a kind of method that charging pile is set, comprise the following steps: according to the corresponding relation of default charging pile type Yu setting area, determine the charging pile installation corresponding with described region to be placed;Described charging pile is divided into quick charge stake, at a slow speed charging pile and normal charge stake;Obtain the information of vehicle flowrate in this region to be placed;Determine the charge requirement of the electric automobile in described region to be placed according to described information of vehicle flowrate, and determine the charging pile quantity in region to be placed according to described charge requirement;Monitor the use frequency of the charging pile of described setting, and according to the open and close of charging pile described in the use FREQUENCY CONTROL of described charging pile.Use the present invention, make the charging pile quantity of setting closer to service condition.

Description

Method for setting charging pile
Technical Field
The invention relates to the technical field of charging piles, in particular to a method for setting a charging pile.
Background
At present, the non-vehicular electric pile that fills of vast majority of current electric automobile at home and abroad all distinguishes two kinds of different grade types of charging slowly for the low power of solitary interchange and the high-power quick charge of direct current: for the alternating current low-power slow charging type, the requirement of the electric automobile can be met only by long-time charging due to low output power; in the dc high-power fast-charging type, the output power is larger than the ac slow-charging type, and therefore, the charging is relatively fast but the charging is relatively expensive. The type of stake of charging is not set up according to specific region and user's demand to the setting of filling electric pile at present, but if fill electric pile just all to set up quick charging stake fast, if fill electric pile just all to set up slow charging stake slowly, so this has just caused the problem that the demand that can not satisfy the user is just the big waste energy of power consumption.
Disclosure of Invention
The invention aims to provide a method for setting a charging pile, which saves energy and meets the requirements of users.
In order to solve the problems in the prior art, the invention provides a method for setting a charging pile, which comprises the following steps:
determining the type of a charging pile corresponding to the area to be set according to the corresponding relation between the preset type of the charging pile and the set area; the charging piles are divided into a quick charging pile, a slow charging pile and a conventional charging pile;
acquiring traffic flow information of the area to be set;
determining the charging requirement of the electric automobile in the area to be set according to the traffic flow information, and determining the number of charging piles in the area to be set according to the charging requirement;
and monitoring the use frequency of the set charging pile, and controlling the charging pile to be opened and closed according to the use frequency of the charging pile.
If it needs to set up slow-speed and conventional electric pile to wait to set up the region, according to electric automobile's the demand of charging, confirm the step of waiting to set up regional electric pile's of filling quantity and position, specifically include:
determining the holding capacity of the motor vehicle, the occupation ratio of the electric automobile in the area to be set and the penetration ratio of the electric automobile according to the acquired traffic flow information;
determining the number of the electric automobiles according to the holding capacity of the current motor vehicles, the occupation ratio of the electric automobiles in the area and the permeability of the electric automobiles, wherein a specific algorithm is as follows:
N a , t e v = N t t o t a l ρ a , t η a , t e v ,
wherein,for the total motor vehicle reserves, rho, in the area of the year ta,tThe proportion of a-type electric vehicles in the area in the t year;the permeability of a type electric automobile in the t year.
In addition, the method also comprises the following steps:
according to the number of the electric automobiles, a specific algorithm for determining the total charging demand of the electric automobiles is as follows:
Q t = Σ a = 1 n a N a , t e v M a B a / S a
wherein M isaOf the electric vehicle type, BaTo the capacity of the battery, SaIs the average mileage;
determining the total quantity of charging piles according to the determined total quantity of the charging demands of the electric automobile, and determining the quantity of the slow charging piles and the quantity of the conventional charging piles respectively according to the preset proportion of the slow charging piles to the conventional charging piles, wherein the algorithm for determining the total quantity of the charging piles is as follows:
N l , t p = Q l , t P l T l d a y ( 1 - γ l )
wherein the charging requirement Ql,tCharging power PlAverage daily charging time Tl dayAnd the vacancy rate gamma of the charging pilel
If the electric pile that fills that waits to set up regional setting is for filling electric pile fast, then the step of confirming the electric pile quantity and the position that fills who waits to set up the region includes:
determining candidate positions of the quick charging stations;
determining the number and the positions of the rapid charging piles according to the determined candidate positions of the rapid charging stations and the minimum value of the comprehensive investment cost of the rapid charging stations; the comprehensive investment cost comprises the minimum value of construction investment cost and operation cost; the function corresponding to the composite investment cost is:
min C(Nch,Ys,XD)=cinv(Nch,Ys)+coper(Nch,Ys,XD)
wherein, cinv(Nch,Ys) Capital costs for charging station construction, including fixed costs and variable costs associated with scale; c. Coper(Nch,Ys,XD) Operating costs for the charging station, including labor costs, electricity purchase costs, and costs of the user to use the charging facility;
the functions corresponding to the construction investment cost and the operation cost of the rapid charging station are respectively as follows:
c i n v ( N c h , Y s ) = Σ i = 1 n c δ ( y i s c i s + n i c h c c h + n i c h c t P 0 c h )
c o p e r ( N c h , Y s , X D ) = 365 ( Σ i = 1 n c Σ j = 1 n D c D x i j d i j D j + Σ i = 1 n c c p n i c h P 0 c h )
wherein, cinv(Nch,Ys) For the construction investment cost of the charging station, for the operating cost of the charging station, ncRepresenting a total number of candidate charging stations;is a variable of 0-1 indicating whether the ith charging station is constructed or not, if the ith charging station is constructedThe value is 1, otherwise, the value is 0;fixed costs for the construction of charging station i;representing the number of charging interfaces in the ith charging station; c. CchCost for a single charging interface; c. CtRepresents the conversion cost per unit power;represents the power of a single charging interface; n isDRepresenting the total number of divided regions; c. CDRepresenting the charging cost corresponding to the unit charging requirement under the unit driving distance; x is the number ofijTo indicate whether the charging demand of the j area is satisfied by the i charging station, if yes, xijThe value is 1, otherwise the value is 0; dijRepresents a travel distance required for the shortest path from the area j to the charging station i; djRepresents the charging requirement of the j area; c. CpIs the operating cost per unit capacity of the charging station.
The step of determining candidate locations of the fast charging station includes:
extracting roads in an area to be set, wherein the extracted roads comprise main roads and secondary roads;
determining the rapid charging requirement of the electric automobile according to the extracted main road and the secondary road, wherein the specific algorithm is as follows:
QU,t,i∝di·vi
wherein Q isU,t,iFor the fast charging demand of the electric vehicle on the ith road at time t, diThe length of the ith road; v. ofiRepresenting the traffic flow on the ith road; the demand for rapid charging of electric vehicles on the road is directly proportional to the product of the road length and the traffic flow;
and determining the candidate position of the quick charging station according to the quick charging requirement of the electric automobile.
The method of setting up a charging pile according to claim 4 or 5, the composite investment cost function being constrained by the following conditions: the capacity of each charging station is larger than the charging requirement in the district scope, and the specific expression is as follows:
Σ j = 1 n D x i j D j ≤ n i c h P 0 c h T f d a y ( 1 - γ f ) , i = 1 , 2 , 3 , ... , n c
representing the daily available time of a charging interface in charging; gamma rayfRepresenting the vacancy rate of a charging interface in the charging station;representing the number of charging interfaces in the ith charging station;indicating a single chargeThe power of the interface; x is the number ofijIndicating whether the charging requirement of the j area is met by the i charging station, if yes, xijThe value is 1, otherwise the value is 0; djIndicating the charging requirement for the j region.
The composite investment cost function is further constrained by the following conditions: the number of charging interfaces is as follows:
N min c h ≤ n i c h ≤ N m a x c h
wherein N isch minRepresents the minimum value of the charging interface, Nch maxIndicating the maximum value of the charging interface.
The composite investment cost function is further constrained by the following conditions: the capacity of the charging station is as follows:
N m i n s ≤ Σ i = 1 n c y i s ≤ N m a x s
wherein, y5 iRepresents the charging station capacity;respectively representing the lower and upper limits of the total number of charging stations.
According to the method for setting the charging piles, the number of the charging piles to be set is obtained according to the traffic flow information of the area to be set, so that the set number of the charging piles is closer to the use condition, and then the charging piles are controlled to be opened and closed by monitoring the set use frequency of the charging piles, so that the number of the charging piles is adjusted in real time.
Drawings
Fig. 1 is a schematic flow chart of a first embodiment of a method for setting a charging pile according to the present invention;
fig. 2 is a schematic flowchart of an embodiment of a method for determining the number of slow charging piles and the number of conventional charging piles according to the method for setting charging piles of the present invention;
fig. 3 is a schematic diagram of an embodiment of a method for determining the number of rapid charging piles of the device for setting charging piles according to the present invention.
Detailed Description
The present invention will be described in detail with reference to the accompanying drawings.
Referring to fig. 1, the figure is a schematic flow chart of an embodiment of a method for setting a charging pile according to the present invention, and includes the following flows:
step S11, determining the type of a charging pile corresponding to the area to be set according to the corresponding relation between the preset charging pile type and the set area; in specific implementation, the corresponding relationship between the type of the preset charging pile and the setting area is shown in the following table 1;
TABLE 1 classification of different charging modes for China electric vehicle
It can be known that slow charging piles can be generally arranged in areas such as homes, offices and the like, and conventional charging piles, charging stations, highway service areas and the like can be arranged in areas such as shopping malls, public parking lots and the like, and fast charging piles can be arranged;
step S12, obtaining traffic flow information of the area to be set;
step S13, determining the charging requirement of the electric automobile in the area to be set according to the traffic flow information, and determining the number of charging piles in the area to be set according to the charging requirement;
and S14, monitoring the use frequency of the set charging pile, and controlling the charging pile to be opened and closed according to the use frequency of the charging pile.
According to the embodiment of the invention, the number of the charging piles to be set is acquired according to the traffic flow information of the area to be set, so that the set number of the charging piles is closer to the use condition, and then the opening and closing of the charging piles are controlled by monitoring the set use frequency of the charging piles, thereby realizing the real-time adjustment of the number of the charging piles.
When the step of above-mentioned step s14 is specifically realized, can adopt thing networking or camera equipment, to the frequency of use of filling electric pile, can pass through wireless transceiver transmission information when adopting internet of things, thereby the statistics of filling electric pile frequency of use has been realized, be provided with the controller in the inside of filling electric pile simultaneously, this controller can send and receive signals can control again and fill opening and closing of electric pile, thereby realized the control to filling electric pile, finally reach the adjustment to the electric pile quantity of filling that is using.
Referring to fig. 2, which is a flowchart illustrating a specific implementation of step S12 in the first embodiment of the method for setting a charging pile according to the present invention, if an area to be set needs to be set with a slow charging pile and a conventional charging pile, the step S12 specifically includes:
step S21, determining the holding capacity of the motor vehicle, the proportion of the electric automobile in the area to be set and the penetration rate of the electric automobile according to the acquired traffic flow information;
step S22, determining the number of the electric automobiles according to the current holding quantity of the motor vehicles in the area to be set, the ratio of the electric automobiles in the area and the permeability of the electric automobiles; in specific implementation, the algorithm that can be adopted is as follows:wherein,for the total motor vehicle reserves, rho, in the area of the year ta,tThe proportion of a-type electric vehicles in the area in the t year;the permeability of a-type electric vehicles in the t year;
step S23, determining the total charge demand of the electric automobiles according to the determined quantity of the electric automobiles, wherein the specific algorithm is as follows:wherein M isaOf the electric vehicle type, BaTo the capacity of the battery, SaIs the average mileage;
step S24, determining the number of charging piles according to the determined total charging demand of the electric automobile, wherein the specific algorithm is as follows:wherein the charging requirement Ql,tCharging power PlAverage daily charging time Tl dayAnd the vacancy rate gamma of the charging pilel. When the method is specifically realized, the required slow charging piles and the occupied proportion of the conventional charging piles of various electric automobiles shown in the table 2 can be distributed, and the distribution proportion of the charging pile models and the charging demand proportion of the electric automobiles are generally considered to be the same, so that the quantity of the slow charging piles and the quantity of the conventional charging piles are respectively determined.
TABLE 2 various charging demand ratios of different types of electric vehicles
The following describes a method for determining the number and the position of the fast charging piles in detail, and is shown in fig. 3, which is a schematic flow chart of an embodiment of determining the number and the position of the fast charging piles in the method for setting the charging piles according to the present invention, and the flow includes:
step S31, determining candidate positions of the quick charging station; in the specific implementation, firstly, the road extraction is performed on the area to be set, and the main road and the secondary road are extracted, and the implementation method can adopt special road extraction software for extraction, such as CAD (computer aided design), and the like, which is not described herein any more; then, according to the extracted main road and the secondary road, determining the rapid charging requirement of the electric automobile, wherein the specific algorithm is as follows:
QU,t,i∝di·vi
wherein Q isU,t,iFor the fast charging demand of the electric vehicle on the ith road at time t, diThe length of the ith road; v. ofiRepresenting the traffic flow on the ith road; the demand for rapid charging of electric vehicles on the road is directly proportional to the product of the road length and the traffic flow;
and finally, determining candidate positions of the rapid charging stations according to the rapid charging requirements of the electric automobile.
Step S32, determining the number and the positions of the rapid charging piles according to the candidate positions of the rapid charging stations and the minimum value of the comprehensive investment cost of the rapid charging stations; the comprehensive investment cost comprises the minimum value of construction investment cost and operation cost; the function corresponding to the composite investment cost is then:
min C(Nch,Ys,XD)=cinv(Nch,Ys)+coper(Nch,Ys,XD)
wherein, cinv(Nch,Ys) Capital costs for charging station construction, including fixed costs and variable costs associated with scale; c. Coper(Nch,Ys,XD) Operating costs for the charging station, including human costs, electricity purchase costs, and costs of the user using the charging facility.
The functions corresponding to the construction investment cost and the operation cost of the rapid charging station are respectively as follows:
c i n v ( N c h , Y s ) = Σ i = 1 n c δ ( y i s c i s + n i c h c c h + n i c h c t P 0 c h )
c o p e r ( N c h , Y s , X D ) = 365 ( Σ i = 1 n c Σ j = 1 n D c D x i j d i j D j + Σ i = 1 n c c p n i c h P 0 c h )
wherein, cinv(Nch,Ys) For the construction investment cost of the charging station, for the operating cost of the charging station, ncRepresenting a total number of candidate charging stations;is a variable of 0-1 indicating whether the ith charging station is constructed or not, if the ith charging station is constructedThe value is 1, otherwise, the value is 0;fixed costs for the construction of charging station i;representing the number of charging interfaces in the ith charging station; c. CchCost for a single charging interface; c. CtRepresents the conversion cost per unit power;represents the power of a single charging interface; n isDRepresenting the total number of divided regions; c. CDRepresenting the charging cost corresponding to the unit charging requirement under the unit driving distance; x is the number ofijTo indicate whether the charging demand of the j area is satisfied by the i charging station, if yes, xijThe value is 1, otherwise the value is 0; dijRepresents a travel distance required for the shortest path from the area j to the charging station i; djRepresents the charging requirement of the j area; c. CpIs the operating cost per unit capacity of the charging station.
In specific implementation, if the candidate positions of the charging transfer are 100, the charging transfer is performed
y i s = [ y 1 s , y 2 s , y 3 s , ... , y 100 s ]
n i c h = [ n 1 c h , n 2 c h , n 3 c h , ... , n 100 c h ]
In the expression of the objective function,andis an abstract representation, representing a vector, each vector comprising 100 optimization variables.Corresponding to whether the 1 st charging station is constructed or not,the number of charging interfaces constructed corresponding to the first charging station is analogized in turn, and is not described herein again.
It should be noted that the value range of the above-mentioned optimization variable is limited by a constraint condition, and a corresponding constraint condition is set. In addition, logical relationships exist between some of the optimization variables, which are also idled by constraints. For example, assuming that no charging station is built in the 1 st candidate locationCorrespondingly, the construction quantity of the charging piles at the first candidate position is also inevitably 0, namelyIf the first candidate location establishes a charging station, thenThe construction quantity of the charging piles at the corresponding first candidate position is not necessarily 0, namely
The constraints of the above function are explained below:
(a) a charging demand constraint, a number of charging stations constraint, a charging station capacity constraint, and a logic constraint; the charging demand constraint condition, that is, the capacity of each charging station should be greater than the charging demand within the jurisdiction range, and the specific algorithm is as follows:wherein,representing the daily available time of a charging interface in charging; gamma rayfRepresenting the vacancy rate of a charging interface in the charging station;
(b) charging station number constraints. A too small total number of planned charging stations would result in an excessively large charging station size, which obviously makes it difficult to build a large charging station size in a city; too much total number of charging stations planned will result in small and dense distribution of charging stations, which will also affect the overall layout of the city construction, and it is therefore necessary to restrict the total number of charging stations planned:
N m i n s ≤ Σ i = 1 n c y i s ≤ N m a x s
wherein,respectively representing the lower and upper limits of the total number of charging stations.
(c) Charging station capacity constraints. Due to factors such as power lines or transmission costs, the capacity of each charging station is usually also constrained, where the number of charging interfaces in the charging station is constrained:
N m i n c h ≤ n i c h ≤ N m a x c h
(d) logic constraints. Obviously, the number of charging interfaces in the charging stationAnd a binary variable indicating whether the charging station is built or notThere are logical constraints between: when in useWhen the temperature of the water is higher than the set temperature,indicates that the ith charging station is built withA plurality of charging interfaces; when in useWhen the temperature of the water is higher than the set temperature,indicating that the ith charging station was not built. The following logical constraints can thus be constructed:
n i c h - M · y i s ≤ 0 y i s - n i c h ≤ 0
where M is a sufficiently large real number. In addition, the first and second substrates are,and xijAll of which are variables from 0 to 1,is a non-negative integer, so it can be written:
and is
Corresponding charging demand DjMust be satisfied in a certain charging station, so there are:
Σ i = 1 n c x i j = 1
according to the embodiment of the invention, the number of the rapid charging piles is determined by obtaining the minimum value of the annual comprehensive investment cost, so that the cost is saved; in addition, adopt above-mentioned four constraint conditions, the quick electric pile that fills that the constraint sets up quantity to make quick electric pile that fills set up when satisfying the actual demand, reduced economic cost, thereby reduced the cost of setting up quick electric pile that fills.
While the foregoing is directed to the preferred embodiment of the present invention, it will be understood by those skilled in the art that various changes and modifications may be made without departing from the spirit and scope of the invention.

Claims (8)

1. A method for setting a charging pile is characterized by comprising the following steps:
determining the type of a charging pile corresponding to the area to be set according to the corresponding relation between the preset type of the charging pile and the set area; the charging piles are divided into a quick charging pile, a slow charging pile and a conventional charging pile;
acquiring traffic flow information of the area to be set;
determining the charging requirement of the electric automobile in the area to be set according to the traffic flow information, and determining the number of charging piles in the area to be set according to the charging requirement;
and monitoring the use frequency of the set charging pile, and controlling the charging pile to be opened and closed according to the use frequency of the charging pile.
2. The method for setting the charging piles according to claim 1, wherein if a slow and conventional charging pile needs to be set in an area to be set, the step of determining the number and the positions of the charging piles in the area to be set according to the charging requirement of the electric vehicle specifically comprises the following steps:
determining the holding capacity of the motor vehicle, the occupation ratio of the electric automobile in the area to be set and the penetration ratio of the electric automobile according to the acquired traffic flow information;
determining the number of the electric automobiles according to the holding capacity of the current motor vehicles, the occupation ratio of the electric automobiles in the area and the permeability of the electric automobiles, wherein a specific algorithm is as follows:
N a , t e v = N t t o t a l ρ a , t η a , t e v ,
wherein,for the total motor vehicle reserves, rho, in the area of the year ta,tA type electric automobile in the year tThe percentage in the area;the permeability of a type electric automobile in the t year.
3. The method for setting up a charging pile according to claim 2, further comprising:
according to the number of the electric automobiles, a specific algorithm for determining the total charging demand of the electric automobiles is as follows:
Q t = Σ a = 1 n a N a , t e v M a B a / S a
wherein M isaOf the electric vehicle type, BaTo the capacity of the battery, SaIs the average mileage;
determining the total quantity of charging piles according to the determined total quantity of the charging demands of the electric automobile, and determining the quantity of the slow charging piles and the quantity of the conventional charging piles respectively according to the preset proportion of the slow charging piles to the conventional charging piles, wherein the algorithm for determining the total quantity of the charging piles is as follows:
N l , t p = Q l , t P l T l d a y ( 1 - γ l )
wherein the charging requirement Ql,tCharging power PlAverage daily charging time Tl dayAnd the vacancy rate gamma of the charging pilel
4. The method for setting the charging pile according to claim 1, wherein if the charging pile set in the area to be set is a rapid charging pile, the step of determining the number and the position of the charging piles in the area to be set comprises the following steps:
determining candidate positions of the quick charging stations;
determining the number and the positions of the rapid charging piles according to the determined candidate positions of the rapid charging stations and the minimum value of the comprehensive investment cost of the rapid charging stations; the comprehensive investment cost comprises the minimum value of construction investment cost and operation cost; the function corresponding to the composite investment cost is:
min C(Nch,Ys,XD)=cinv(Nch,Ys)+coper(Nch,Ys,XD)
wherein, cinv(Nch,Ys) Capital costs for charging station construction, including fixed costs and variable costs associated with scale; c. Coper(Nch,Ys,XD) Operating costs for the charging station, including labor costs, electricity purchase costs, and costs of the user to use the charging facility;
the functions corresponding to the construction investment cost and the operation cost of the rapid charging station are respectively as follows:
c i n v ( N c h , Y s ) = Σ i = 1 n c δ ( y i s c i s + n i c h c c h + n i c h c t P 0 c h )
c o p e r ( N c h , Y s , X D ) = 365 ( Σ i = 1 n c Σ j = 1 n D c D x i j d i j D j + Σ i = 1 n c c p n i c h P 0 c h )
wherein, cinv(Nch,Ys) For the construction investment cost of the charging station, for the operating cost of the charging station, ncRepresenting a total number of candidate charging stations;is a variable of 0-1 indicating whether the ith charging station is constructed or not, if the ith charging station is constructedThe value is 1, otherwise, the value is 0;fixed costs for the construction of charging station i;representing the number of charging interfaces in the ith charging station; c. CchCost for a single charging interface; c. CtRepresents the conversion cost per unit power;represents the power of a single charging interface; n isDRepresenting the total number of divided regions; c. CDRepresenting the charging cost corresponding to the unit charging requirement under the unit driving distance; x is the number ofijTo indicate whether the charging demand of the j area is satisfied by the i charging station, if yes, xijThe value is 1, otherwise the value is 0; dijRepresents a travel distance required for the shortest path from the area j to the charging station i; djRepresents the charging requirement of the j area; c. CpIs the operating cost per unit capacity of the charging station.
5. The method for setting up a charging post according to claim 4, wherein the step of determining the candidate locations of the rapid charging stations comprises:
extracting roads in an area to be set, wherein the extracted roads comprise main roads and secondary roads;
determining the rapid charging requirement of the electric automobile according to the extracted main road and the secondary road, wherein the specific algorithm is as follows:
QU,t,i∝di·vi
wherein Q isU,t,iFor the fast charging demand of the electric vehicle on the ith road at time t, diThe length of the ith road; v. ofiRepresenting the traffic flow on the ith road; the demand for rapid charging of electric vehicles on the road is directly proportional to the product of the road length and the traffic flow;
and determining the candidate position of the quick charging station according to the quick charging requirement of the electric automobile.
6. The method for setting up a charging pile according to claim 4 or 5, characterized in that the composite investment cost function is constrained by the following conditions: the capacity of each charging station is larger than the charging requirement in the district scope, and the specific expression is as follows:
Σ j = 1 n D x i j D j ≤ n i c h P 0 c h T f d a y ( 1 - γ f ) , i = 1 , 2 , 3 , ... , n c
representing the daily available time of a charging interface in charging; gamma rayfRepresenting the vacancy rate of a charging interface in the charging station;representing the number of charging interfaces in the ith charging station;represents the power of a single charging interface; x is the number ofijIndicating whether the charging requirement of the j area is met by the i charging station, if yes, xijThe value is 1, otherwise the value is 0; djIndicating the charging requirement for the j region.
7. The method of setting up a charging pile of claim 6, wherein the composite investment cost function is further constrained by the following conditions: the number of charging interfaces is as follows:
N min c h ≤ n i c h ≤ N m a x c h
wherein N isch minRepresents the minimum value of the charging interface, Nch maxIndicating the maximum value of the charging interface.
8. The method of setting up a charging pile according to any one of claims 3 to 5, characterised in that the composite investment cost function is further constrained by the following conditions: the capacity of the charging station is as follows:
N m i n s ≤ Σ i = 1 n c y i s ≤ N m a x s
wherein, y5 iRepresents the charging station capacity;respectively representing the lower and upper limits of the total number of charging stations.
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Cited By (14)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108376291A (en) * 2017-11-28 2018-08-07 国网甘肃省电力公司电力科学研究院 A kind of electric vehicle electric charging station addressing constant volume method based on micro-capacitance sensor
CN108544950A (en) * 2018-04-24 2018-09-18 刘耀鸿 A kind of charging pile management method based on new-energy automobile positioning
CN108573351A (en) * 2018-04-24 2018-09-25 上汽通用五菱汽车股份有限公司 Electrically-charging equipment concocting method, device and computer readable storage medium
CN109204017A (en) * 2018-09-13 2019-01-15 国网福建省电力有限公司 A kind of monitoring method of electric car charging network
CN109800940A (en) * 2018-12-03 2019-05-24 北京掌行通信息技术有限公司 A kind of charging pile site selecting method and device
CN109840640A (en) * 2019-03-06 2019-06-04 清华大学 A kind of site selecting method and system of electric automobile charging pile
CN111086410A (en) * 2020-01-03 2020-05-01 恒大新能源汽车科技(广东)有限公司 Charging control method and device, electronic equipment and system
CN111145532A (en) * 2019-11-26 2020-05-12 北京摩拜科技有限公司 Setting method of vehicle parking spot, server and terminal equipment
CN111769611A (en) * 2020-06-24 2020-10-13 深圳市科奥信电源技术有限公司 Adjusting method, system and device for mobile robot charging station
CN112542831A (en) * 2020-04-10 2021-03-23 深圳优地科技有限公司 Charging pile quantity determination method, device, equipment and storage medium
CN113415203A (en) * 2021-06-29 2021-09-21 湖南昌茂电能发展有限公司 Intelligent charging pile management system based on Internet of things
CN114118796A (en) * 2021-11-26 2022-03-01 天津守中电力科技有限公司 Planning method for electric vehicle charging facility
CN116523272A (en) * 2023-07-03 2023-08-01 深圳市金威源科技股份有限公司 Charging pile intelligent management method and system based on big data analysis
CN118644157A (en) * 2024-08-15 2024-09-13 江苏华飞新能源科技有限公司 Construction scale planning method and system for charging station

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
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
CN105160449A (en) * 2015-07-06 2015-12-16 国家电网公司 Electric automobile charging pile optimization layout method
CN105160428A (en) * 2015-08-19 2015-12-16 天津大学 Planning method of electric vehicle fast-charging station on expressway
CN105447602A (en) * 2016-01-01 2016-03-30 三峡大学 Electric automobile power charging and converting station optimization arrangement system
CN105760949A (en) * 2016-02-04 2016-07-13 国网山东省电力公司经济技术研究院 Optimizing configuration method for amount of chargers of electromobile charging station

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
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
CN105160449A (en) * 2015-07-06 2015-12-16 国家电网公司 Electric automobile charging pile optimization layout method
CN105160428A (en) * 2015-08-19 2015-12-16 天津大学 Planning method of electric vehicle fast-charging station on expressway
CN105447602A (en) * 2016-01-01 2016-03-30 三峡大学 Electric automobile power charging and converting station optimization arrangement system
CN105760949A (en) * 2016-02-04 2016-07-13 国网山东省电力公司经济技术研究院 Optimizing configuration method for amount of chargers of electromobile charging station

Cited By (19)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108376291A (en) * 2017-11-28 2018-08-07 国网甘肃省电力公司电力科学研究院 A kind of electric vehicle electric charging station addressing constant volume method based on micro-capacitance sensor
CN108544950A (en) * 2018-04-24 2018-09-18 刘耀鸿 A kind of charging pile management method based on new-energy automobile positioning
CN108573351A (en) * 2018-04-24 2018-09-25 上汽通用五菱汽车股份有限公司 Electrically-charging equipment concocting method, device and computer readable storage medium
CN108544950B (en) * 2018-04-24 2019-06-18 上海工业控制安全创新科技有限公司 A kind of charging pile management method based on new-energy automobile positioning
CN109204017A (en) * 2018-09-13 2019-01-15 国网福建省电力有限公司 A kind of monitoring method of electric car charging network
CN109204017B (en) * 2018-09-13 2020-03-10 国网福建省电力有限公司 Monitoring method for electric vehicle charging network
CN109800940A (en) * 2018-12-03 2019-05-24 北京掌行通信息技术有限公司 A kind of charging pile site selecting method and device
CN109840640A (en) * 2019-03-06 2019-06-04 清华大学 A kind of site selecting method and system of electric automobile charging pile
CN111145532A (en) * 2019-11-26 2020-05-12 北京摩拜科技有限公司 Setting method of vehicle parking spot, server and terminal equipment
CN111086410A (en) * 2020-01-03 2020-05-01 恒大新能源汽车科技(广东)有限公司 Charging control method and device, electronic equipment and system
CN111086410B (en) * 2020-01-03 2021-11-19 恒大恒驰新能源汽车科技(广东)有限公司 Charging control method and device, electronic equipment and system
CN112542831A (en) * 2020-04-10 2021-03-23 深圳优地科技有限公司 Charging pile quantity determination method, device, equipment and storage medium
CN112542831B (en) * 2020-04-10 2023-09-08 深圳优地科技有限公司 Method, device, equipment and storage medium for determining number of charging piles
CN111769611A (en) * 2020-06-24 2020-10-13 深圳市科奥信电源技术有限公司 Adjusting method, system and device for mobile robot charging station
CN113415203A (en) * 2021-06-29 2021-09-21 湖南昌茂电能发展有限公司 Intelligent charging pile management system based on Internet of things
CN114118796A (en) * 2021-11-26 2022-03-01 天津守中电力科技有限公司 Planning method for electric vehicle charging facility
CN116523272A (en) * 2023-07-03 2023-08-01 深圳市金威源科技股份有限公司 Charging pile intelligent management method and system based on big data analysis
CN116523272B (en) * 2023-07-03 2023-09-29 深圳市金威源科技股份有限公司 Charging pile intelligent management method and system based on big data analysis
CN118644157A (en) * 2024-08-15 2024-09-13 江苏华飞新能源科技有限公司 Construction scale planning method and system for charging station

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