TY - JOUR
T1 - 电动汽车充电站规划研究综述
AU - Wang, Zhen Po
AU - Zhang, Jin
AU - Liu, Peng
AU - Zhang, Zhao Sheng
N1 - Publisher Copyright:
© 2022 Xi'an Highway University. All rights reserved.
PY - 2022/12/20
Y1 - 2022/12/20
N2 - The wide promotion and application of new-energy vehicles, especially electric ones, has resulted in huge charging demands. However, owing to the unreasonable planning of some charging stations, the spatial layout and service capacity of charging stations do not match the actual charging demands, and the coexistence of a low utilization rate of charging stations and inconvenient charging for users has become a significant problem in the electric vehicle industry. Reasonable location and deployment planning of charging stations is essential to optimize the usage and charging experience of electric vehicles, alleviate the "mileage anxiety" of users, improve the utilization rate of charging piles, and optimize the urban transportation and power grid network. This problem must also be solved in the field of intelligent transportation. To provide a more comprehensive overview of the problem, the development, types, and standards of charging stations are reviewed, and the charging demand estimation and prediction methods used on the "vehicle side" " and "station side" are described. Then, charging station planning methods are analyzed from the perspectives of siting, sizing, and solutions. Research results on multiobjective, multiconstraint, and multiperiod covering models and flow-based models, as well as their application to simulation networks and actual city environments, are listed. Finally, existing problems in current research, including the accuracy of charging demand estimation and the match of charging stations to demands, are summarized. The coordinated planning for orderly charging guidance, new energy consumption, and "cut peak and fill valley" of the grid to make full use of the characteristics of distributed energy storage and flexible charging and discharging of electric vehicles in the era of vehicle-pile-road-grid interconnection is also discussed.
AB - The wide promotion and application of new-energy vehicles, especially electric ones, has resulted in huge charging demands. However, owing to the unreasonable planning of some charging stations, the spatial layout and service capacity of charging stations do not match the actual charging demands, and the coexistence of a low utilization rate of charging stations and inconvenient charging for users has become a significant problem in the electric vehicle industry. Reasonable location and deployment planning of charging stations is essential to optimize the usage and charging experience of electric vehicles, alleviate the "mileage anxiety" of users, improve the utilization rate of charging piles, and optimize the urban transportation and power grid network. This problem must also be solved in the field of intelligent transportation. To provide a more comprehensive overview of the problem, the development, types, and standards of charging stations are reviewed, and the charging demand estimation and prediction methods used on the "vehicle side" " and "station side" are described. Then, charging station planning methods are analyzed from the perspectives of siting, sizing, and solutions. Research results on multiobjective, multiconstraint, and multiperiod covering models and flow-based models, as well as their application to simulation networks and actual city environments, are listed. Finally, existing problems in current research, including the accuracy of charging demand estimation and the match of charging stations to demands, are summarized. The coordinated planning for orderly charging guidance, new energy consumption, and "cut peak and fill valley" of the grid to make full use of the characteristics of distributed energy storage and flexible charging and discharging of electric vehicles in the era of vehicle-pile-road-grid interconnection is also discussed.
KW - automotive engineering
KW - charging station
KW - electric vehicle
KW - planning method
KW - review
KW - siting and sizing
UR - http://www.scopus.com/inward/record.url?scp=85146233339&partnerID=8YFLogxK
U2 - 10.19721/j.cnki.1001-7372.2022.12.019
DO - 10.19721/j.cnki.1001-7372.2022.12.019
M3 - 文章
AN - SCOPUS:85146233339
SN - 1001-7372
VL - 35
SP - 230
EP - 252
JO - Zhongguo Gonglu Xuebao/China Journal of Highway and Transport
JF - Zhongguo Gonglu Xuebao/China Journal of Highway and Transport
IS - 12
ER -