CN109740805A - A kind of optimal Quantity analogy method of electric automobile charging station charging pile - Google Patents
A kind of optimal Quantity analogy method of electric automobile charging station charging pile Download PDFInfo
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Abstract
The invention discloses a kind of optimal Quantity analogy methods of electric automobile charging station charging pile, the arrival time and charge volume data of automobile user in 24 hours are counted by inquiry, 24 hours arrival times of city electric car and charge volume are simulated using Monte Carlo method, based on data obtained after simulation, assuming that charging pile construction number is x, according to the electric car arrival time and charge volume counted, it calculates separately each automobile and builds several lower queuing durations in the charging pile assumed, charging duration and from the stake moment, analysis is when assumed charging pile builds number x, vehicle queue duration in the station, it undergoes the user person-time being lined up and charging pile occupies and idle quantity, determine the optimal Quantity of electric automobile charging station charging pile, the present invention can efficiently solve charging pile caused by charging pile setting excessively It leaves unused or is arranged in very few caused station and be lined up congestion problems, so that it is determined that optimal charging pile setting quantity out.
Description
Technical Field
The invention relates to the technical field of electric vehicle charging, in particular to a method for simulating the optimal construction quantity of charging piles of an electric vehicle charging station.
Background
With the vigorous development of electric vehicles in various countries around the world, the construction of corresponding electric vehicle charging stations is gradually increased and improved. However, due to the lack of an actual theory which can be used for analyzing the characteristics of the real-time charging queuing process, charging station managers cannot grasp the charging queuing process of vehicles in the station in real time, and therefore the construction number of the charging piles cannot be accurately set, and queuing congestion or redundant idling of the charging piles is caused.
Disclosure of Invention
In order to solve the technical problems, the invention provides a simulation method for the optimal construction quantity of charging piles of an electric vehicle charging station, which effectively avoids the problems of idling of the charging piles due to too many charging piles or in-station queuing and congestion due to too few charging piles.
An optimal construction quantity simulation method for electric vehicle charging station charging piles comprises the following steps:
step 1, investigating and counting arrival time and charge amount data of an electric vehicle user within 24 hours;
step 2, simulating the arrival time and the charge amount data obtained in the step 1 to obtain a proper number of arrival time and charge amount data samples;
step 3, assuming that the number of the charging piles is x, wherein x is 1,2, … and N, and respectively calculating the queuing time, the charging time and the pile leaving time of each automobile under the assumed number of the charging piles according to the station arrival time and the charging amount of the electric automobiles;
step 4, analyzing the queuing time of the vehicles in the station, the number of users experiencing queuing, the occupied and idle number of the charging piles when the assumed charging pile construction number is x, and determining the optimal construction number of the charging piles of the electric vehicle charging station;
further, if the total number of vehicles charged and queued in the current station including user jUser j does not need to queue up, and the moment when user j starts to chargeIs equal to its arrival timeThen the queuing time experienced by user j is:
further, if the total number of vehicles charged and queued in the current station including user jUser j needs to queue up, and the charging starting time of user jTime of leaving pile of user who leaves charging pileThe queuing time experienced by the user is:
further, the method for calculating the charging time of each automobile comprises the following steps:
wherein, TjDuration of charging for each car, QjThe charge amount is the user, and v is the charge amount;
further, the pile departure time is represented as:
wherein,at the moment of pile departure, TjThe charging time period for each car.
Further, the simulation adopts a Monte Carlo method to simulate the 24-hour arrival time and the charging amount of the urban electric vehicle.
The invention has the beneficial effects that:
by applying the method provided by the invention, the charging queuing process in the station under different charging pile preset quantities can be simulated, and the optimal charging pile setting quantity is found, so that idle waste caused by redundant charging pile construction is avoided, charging queuing congestion caused by too little charging pile construction is also avoided, and the convenience of users is improved.
The method can be applied to the initial stage of charging station construction, the arrival time and the charging quantity requirements of the users are obtained through investigation statistics or prediction theories, and the in-station charging queuing process under different charging pile preset values can be simulated by combining the real-time queuing process theory provided by the invention, so that the builder can be accurately and effectively assisted to find the optimal charging pile setting quantity in advance.
The method can be applied to the simulation scene of the arrangement quantity of all the service facilities with queuing, find out the optimal arrangement quantity of the service facilities, and effectively solve the problems of resource waste and queuing congestion.
Drawings
FIG. 1 is a schematic diagram of a situation where user j is not experiencing a queue;
FIG. 2 is a schematic diagram of user j experiencing a queuing situation;
FIG. 3 is a graph showing a relationship between the total queuing time of all users in the station and the preset number x of charging piles;
FIG. 4 is a graph showing a relation between total number of queuing people in a station and a preset number x of charging piles;
fig. 5 is a curve of the total number of vehicles in a station and the number of queues in the station when a user j arrives at the station when a charging pile preset number x is 10;
FIG. 6 is a curve of the total number of vehicles in a station when a user j arrives at the station under different preset numbers of charging piles;
fig. 7 is a curve of the number of queues in the station when a user j arrives at the station under different preset numbers of charging piles.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
The invention provides a method for simulating the optimal construction quantity of charging piles of an electric vehicle charging station, which comprises the following specific steps:
step 1, investigating and counting arrival time and charge amount data of an electric vehicle user within 24 hours;
step 2, simulating the 24-hour arrival time and the charge quantity of the urban electric vehicle collected in the previous step by utilizing a Monte Carlo method to obtain a proper number of arrival time and charge quantity data samples;
step 3, assuming that the number of the charging piles is x, wherein x is 1,2, … and N, and respectively calculating the queuing time, the charging time and the pile leaving time of each automobile under the assumed number of the charging piles according to the station arrival time and the charging amount of the electric automobiles;
assuming that the number of the power taking piles is x ═ 5, at this time, a certain user j drives an electric vehicle to reach a charging station to receive charging service, and the user can face the following two situations after arriving at the station, and respectively calculate the queuing time of the user:
as shown in fig. 1, queuing is not required if the in-station charging post is idle. The moment when the user starts charging is equal to the arrival moment. At that timeWhen the temperature of the water is higher than the set temperature,the user experiences a queuing time of as long as,
fig. 1 shows a queuing-free case, in the illustrated example, the number x of charging piles is 5, and the number of vehicles in the station after the user j arrives at the stationThus satisfyingThe moment of starting chargingDuration of queuing
As shown in fig. 2, if the charging post in the station is fully occupied, user j needs to wait in a queue. The moment of starting charging is equal to the frontAmong individual users, theAnd the time of leaving the pile of the user j who leaves the charging pile. At that timeWhen the temperature of the water is higher than the set temperature,the user experiences a queuing time of as long as,
queuing situations are shown in FIG. 2; in the legend, the number x of charging piles is 5, and the number of vehicles in the station after the user j arrives at the stationThus satisfyingThe starting charging moment is equal to the previous oneAmong individual users, theThe pile leaving time of the user leaving the charging pile, namely the time when the user j starts to charge is equal to the pile leaving time of the 2 nd user in the previous 6 users, namely the pile leaving time of the vehicle charged by the No. 5 pile, so thatDuration of queuing
Because the method is applied to the charging queuing simulation before the construction of the charging pile, the charging and queuing of the user j in front cannot be seen specificallyWhich users are the next. The time of arrival of the user j is compared with the time of departure of the previous j-1 users respectively, and the user j can be found out certainlyThe time of leaving pile of each user is larger than the time of arrival of the user j, and the time of leaving pile of the users is larger than the time of arrival of the user j, namely before the users are charged or queued in the stationAnd (4) users. Thus, while facilitating each user j, it is also necessary to find the front in the station when the user j arrives at the stationAt the time of pile-off of the vehicle, and at the same time, incidentallyThe number of vehicles at the station at this time is found.
Calculating the time when the charging of the user is finished and the time when the user leaves the pile is equal to the charging time when the user starts charging plus the charging time of the user,equal to the user charge divided by the user selected charging speed,
and sequencing the users according to the arrival time, and sequentially recording as users j as 1,2,3, … and N. For each user j, respectively calculating the charging starting time, the queuing time, the charging time and the pile separating time; according to the method, the charging starting time of the user needs to be calculated according to the pile-off time of the user, so that the method needs to calculate all parameters of the user from the earliest arrival station one by one, and all parameters are converted into units of seconds, so that the operation is convenient.
Step 4, re-selecting the charging pile construction number x, repeating the calculation of the steps to obtain the in-station vehicle queuing time, the number of users who experience queuing and the charging pile occupation and idle number of the station under different charging pile preset numbers x shown in the figures 3, 4, 5, 6 and 7, and finding out a minimum charging pile preset value which enables the in-station queuing time to be just 0 after analysisWhen in useIn time, no matter what value x takes, the in-station queuing duration is always 0, and existsThe charging piles are always in an idle state, so that resource waste is caused; when in useWhen the station is in use, queuing is generated. As the value of x is reduced, the queuing time is increased continuously, the number of people in the queue is increased continuously, and charging congestion is caused.
The above embodiments are only used for illustrating the design idea and features of the present invention, and the purpose of the present invention is to enable those skilled in the art to understand the content of the present invention and implement the present invention accordingly, and the protection scope of the present invention is not limited to the above embodiments. Therefore, all equivalent changes and modifications made in accordance with the principles and concepts disclosed herein are intended to be included within the scope of the present invention.
Claims (7)
1. The method for simulating the optimal construction quantity of the charging piles of the electric vehicle charging station is characterized by comprising the following steps of:
step 1, investigating and counting arrival time and charge amount data of an electric vehicle user within 24 hours;
step 2, simulating the arrival time and the charge amount data obtained in the step 1 to obtain a proper number of arrival time and charge amount data samples;
step 3, assuming that the number of the charging piles is x, wherein x is 1,2, … and N, and respectively calculating the queuing time, the charging time and the pile leaving time of each automobile under the assumed number of the charging piles according to the station arrival time and the charging amount of the electric automobiles;
and 4, analyzing the queuing time of the vehicles in the station, the number of the users experiencing queuing, the occupied and idle number of the charging piles when the assumed charging pile construction number is x, and determining the optimal construction number of the charging piles of the electric vehicle charging station.
2. The method for simulating the optimal number of the charging piles for the electric vehicle charging stations according to claim 1, wherein if a user does not need to queue under the assumed number of the charging piles, the queuing time is longThe calculating method of (2):
wherein,for the moment when user j starts to charge,user j arrival time.
3. The method for simulating the optimal number of the charging piles for the electric vehicle charging stations according to claim 1, wherein if a user needs to queue under the assumed number of the charging piles, the queuing time is longThe calculating method of (2):
wherein,for the moment when user j starts to charge,for the time of arrival of the user j,is as followsAnd (4) the time of leaving the pile of each user leaving the charging pile.
4. The method for simulating the optimal construction quantity of the charging piles of the electric vehicle charging stations according to claim 1, wherein the method for calculating the charging time of each vehicle comprises the following steps:
wherein, TjDuration of charging for each car, QjThe charge amount is the user, and v is the charging speed.
5. The method for simulating the optimal construction quantity of the charging piles of the electric vehicle charging stations as claimed in claim 1 or 4, wherein the pile leaving time is represented as:
wherein,at the moment of pile departure, TjThe charging time period for each car.
6. The method for simulating the optimal construction quantity of the charging piles of the electric vehicle charging stations according to claim 1, wherein the simulation is carried out by simulating the arrival time and the charging quantity of the urban electric vehicles within 24 hours by using a Monte Carlo method.
7. The method for simulating the optimal construction quantity of the charging piles of the electric vehicle charging stations according to claim 1, wherein the upper limit value N of the construction quantity x of the charging piles is equal to the total quantity of users arriving at the station within 24 hours a day.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112785770A (en) * | 2021-01-12 | 2021-05-11 | 江苏大学 | Dynamic entity queuing model construction method based on time series |
| CN114694085A (en) * | 2020-12-31 | 2022-07-01 | 奥动新能源汽车科技有限公司 | Method, system, equipment and medium for identifying number of battery replacement queuing vehicles |
| CN117875672A (en) * | 2024-03-11 | 2024-04-12 | 云南山高新能源有限公司 | Electric vehicle charging station management system |
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| CN105095611A (en) * | 2015-09-25 | 2015-11-25 | 东南大学 | Highway electric vehicle quick charging station queuing algorithm |
| CN105389621A (en) * | 2015-10-15 | 2016-03-09 | 南昌大学 | Optimal charging pile distribution method for improving effect of electric vehicle charging load to voltage of distribution network system |
| CN107274035A (en) * | 2017-07-18 | 2017-10-20 | 东南大学 | A kind of transportation network and the method for electric automobile charging station coordinated planning |
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Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN105095611A (en) * | 2015-09-25 | 2015-11-25 | 东南大学 | Highway electric vehicle quick charging station queuing algorithm |
| CN105389621A (en) * | 2015-10-15 | 2016-03-09 | 南昌大学 | Optimal charging pile distribution method for improving effect of electric vehicle charging load to voltage of distribution network system |
| CN107274035A (en) * | 2017-07-18 | 2017-10-20 | 东南大学 | A kind of transportation network and the method for electric automobile charging station coordinated planning |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN114694085A (en) * | 2020-12-31 | 2022-07-01 | 奥动新能源汽车科技有限公司 | Method, system, equipment and medium for identifying number of battery replacement queuing vehicles |
| CN112785770A (en) * | 2021-01-12 | 2021-05-11 | 江苏大学 | Dynamic entity queuing model construction method based on time series |
| CN117875672A (en) * | 2024-03-11 | 2024-04-12 | 云南山高新能源有限公司 | Electric vehicle charging station management system |
| CN117875672B (en) * | 2024-03-11 | 2024-06-04 | 云南山高新能源有限公司 | Electric vehicle charging station management system |
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