TY - GEN
T1 - Demand forecasting-based layout planning of electric vehicle charging station locations
AU - Li, Min
AU - Wang, Wuhong
AU - Mu, Hongfei
AU - Jiang, Xiaobei
AU - Ranjitkar, Prakash
AU - Chen, Tao
N1 - Publisher Copyright:
© Springer Science+Business Media Singapore 2018.
PY - 2018
Y1 - 2018
N2 - The growing use of electric vehicles (EVs) promotes environmental protection and energy conservation. The prerequisite in the use of EVs is that they should be adequately charged. The layout planning of charging station locations is therefore a key point in meeting the charging demands of EVs. This study presents three types of charging demands (i.e., conventional charging, fast charging, and fast battery replacement demand) by forecasting electric vehicle ownership with the use of the Bass model based on traditional vehicle development. This model for locating charging stations is built and optimized on the basis of the forecasted charging demands. The aim is to minimize the layout construction cost for charging station locations and the charging cost for customers. A practical example that applies the model to optimize the layout of charging station locations is presented, and the developed model is validated to work effectively. The model provides a theoretical way to optimize the layout of charging station locations and serves as a basis for layout planners and a reference for other researchers.
AB - The growing use of electric vehicles (EVs) promotes environmental protection and energy conservation. The prerequisite in the use of EVs is that they should be adequately charged. The layout planning of charging station locations is therefore a key point in meeting the charging demands of EVs. This study presents three types of charging demands (i.e., conventional charging, fast charging, and fast battery replacement demand) by forecasting electric vehicle ownership with the use of the Bass model based on traditional vehicle development. This model for locating charging stations is built and optimized on the basis of the forecasted charging demands. The aim is to minimize the layout construction cost for charging station locations and the charging cost for customers. A practical example that applies the model to optimize the layout of charging station locations is presented, and the developed model is validated to work effectively. The model provides a theoretical way to optimize the layout of charging station locations and serves as a basis for layout planners and a reference for other researchers.
KW - Forecasting charging demand
KW - Optimal layout model
KW - Planning of EV charging stations
UR - http://www.scopus.com/inward/record.url?scp=85026761586&partnerID=8YFLogxK
U2 - 10.1007/978-981-10-3551-7_81
DO - 10.1007/978-981-10-3551-7_81
M3 - Conference contribution
AN - SCOPUS:85026761586
SN - 9789811035500
T3 - Lecture Notes in Electrical Engineering
SP - 1009
EP - 1021
BT - Green Intelligent Transportation Systems - Proceedings of the 7th International Conference on Green Intelligent Transportation System and Safety
A2 - Wang, Wuhong
A2 - Jiang, Xiaobei
A2 - Bengler, Klaus
A2 - Jiang, Xiaobei
PB - Springer Verlag
T2 - 7th International Conference on Green Intelligent Transportation System and Safety, 2016
Y2 - 1 July 2016 through 4 July 2016
ER -
