PLANNING METHOD OF ELECTRIC VEHICLE FAST CHARGING STATIONS ON THE EXPRESSWAY
First Claim
1. A planning method of EV fast charging stations on the expressway, comprising forecasting the spatial and temporal distribution of EV charging load, determining the locations of the EV fast charging stations and determining the number of the chargers in each fast charging station;
- the detailed steps of the planning method are as follows;
Step 1;
forecasting the spatial and temporal distribution of EV charging load, that is to determine the time and location of each EV needing charging on the expressway;
Step 2;
based on the forecast result achieved by Step 1, determining the locations of the fast charging stations on the expressway by the nearest neighbor clustering algorithm, which further includes the following steps;
Step 2-1;
calculating the maximum travel range Ransc after the EVs need charging;
based on the central limit theorem, determining the travel distance of 99% EVs under the remaining capacity of batteries by fitted normal distribution, wherein the travel distance is defined as the service radius SR of the fast charging stations;
Step 2-2;
determining the distance matrix D, where dij represents the distance between the EV location needing charging Pi to the EV location needing charging Pj, i and j belongs to 1˜
n, and n represents the total number of the EVs needing charging;
Step 2-3;
determining the similarity matrix S;
based on the distance matrix D, determining the number of the EV locations needing charging within the service radius SR of each EV location needing charging;
the similarity sij of the EV location needing charging Pi and the EV location needing charging Pj is defined in the equation (5);
sij=size(NN(i)∩
NN(j))
(5)Wherein, NN(i) and NN(j) are the sets of the EV locations needing charging within the service radius SR of the EV location needing charging Pi and Pi, respectively;
the “
size”
means the shared number of the EV locations needing charging in the intersection set of NN(i) and NN(j);
Step 2-4;
calculating the EV charging demand l1,j of each location needing charging according to the sum of the rows of the similarity matrix S by the following equation;
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Abstract
A planning method of EV fast charging stations on the expressway, comprising the following steps: Step 1: forecasting the spatial and temporal distribution of EV charging load, that is to determine the time and location of each EV needing charging on the expressway; Step 2: based on the forecast result achieved by Step 1, determining the locations of the fast charging stations on the expressway by the nearest neighbor clustering algorithm; Step 3: according to the spatial and temporal forecast result of the EV charging load and the locations of the fast charging stations, determining the number c of the chargers in each fast charging station by queuing theory. Due to battery characteristics, traditional gas stations do not completely match the fast charging stations. In the planning method, the locations and times for charging of the EVs are considered to determine the capacities and locations of the fast charging stations, which can meet the charging needs of the EVs more than the traditional gas station, and thus promote the development of EVs.
8 Citations
3 Claims
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1. A planning method of EV fast charging stations on the expressway, comprising forecasting the spatial and temporal distribution of EV charging load, determining the locations of the EV fast charging stations and determining the number of the chargers in each fast charging station;
- the detailed steps of the planning method are as follows;
Step 1;
forecasting the spatial and temporal distribution of EV charging load, that is to determine the time and location of each EV needing charging on the expressway;Step 2;
based on the forecast result achieved by Step 1, determining the locations of the fast charging stations on the expressway by the nearest neighbor clustering algorithm, which further includes the following steps;Step 2-1;
calculating the maximum travel range Ransc after the EVs need charging;
based on the central limit theorem, determining the travel distance of 99% EVs under the remaining capacity of batteries by fitted normal distribution, wherein the travel distance is defined as the service radius SR of the fast charging stations;Step 2-2;
determining the distance matrix D, where dij represents the distance between the EV location needing charging Pi to the EV location needing charging Pj, i and j belongs to 1˜
n, and n represents the total number of the EVs needing charging;Step 2-3;
determining the similarity matrix S;
based on the distance matrix D, determining the number of the EV locations needing charging within the service radius SR of each EV location needing charging;
the similarity sij of the EV location needing charging Pi and the EV location needing charging Pj is defined in the equation (5);
sij=size(NN(i)∩
NN(j))
(5)Wherein, NN(i) and NN(j) are the sets of the EV locations needing charging within the service radius SR of the EV location needing charging Pi and Pi, respectively;
the “
size”
means the shared number of the EV locations needing charging in the intersection set of NN(i) and NN(j);Step 2-4;
calculating the EV charging demand l1,j of each location needing charging according to the sum of the rows of the similarity matrix S by the following equation; - View Dependent Claims (2, 3)
- the detailed steps of the planning method are as follows;
Specification