Abstract
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.
Supported by “the Fundamental Research Funds for the Central Universities” (310822151119).
Supported by “the Innovation Project for Graduate Education of Beijing Institute of Technology” (2015CX10011).
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Acknowledgements
This research was supported in part by the National Nature Science Foundation of China (NSFC) 51378062, the Introducing Talents of Discipline to Universities under Grant B12022, and the Fundamental Research Funds for the Central Universities (310822151119).
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Li, M., Wang, W., Mu, H., Jiang, X., Ranjitkar, P., Chen, T. (2018). Demand Forecasting-Based Layout Planning of Electric Vehicle Charging Station Locations. In: Wang, W., Bengler, K., Jiang, X. (eds) Green Intelligent Transportation Systems. GITSS 2016. Lecture Notes in Electrical Engineering, vol 419. Springer, Singapore. https://doi.org/10.1007/978-981-10-3551-7_81
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DOI: https://doi.org/10.1007/978-981-10-3551-7_81
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