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Charge Stations Deployment Strategy for Maximizing the Charge Oppurnity of Electric Vehicles (EVs)

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Computational Intelligence and Intelligent Systems (ISICA 2012)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 316))

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Abstract

As explosive growth of private cars population, traditional cars have become a very important part of environment pollution. That is why we need electric vehicles (EVs) to replace the traditional cars. But limited to the development of Smart Grid and the technology of EVs battery pack, EVs need to be charged frequently that reduce the drivers comfort and the efficiency of the travel performance. This paper proposed a scheme which uses the Newton law of cooling to optimize the deployment of the charge stations on the map, the basic demand is to achieve the best quality of service with the least cost. And the result shows that this scheme can achieve great performance.

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© 2012 Springer-Verlag Berlin Heidelberg

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Yao, H., Zhao, Z., Huang, H., Cong, L. (2012). Charge Stations Deployment Strategy for Maximizing the Charge Oppurnity of Electric Vehicles (EVs). In: Li, Z., Li, X., Liu, Y., Cai, Z. (eds) Computational Intelligence and Intelligent Systems. ISICA 2012. Communications in Computer and Information Science, vol 316. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34289-9_67

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  • DOI: https://doi.org/10.1007/978-3-642-34289-9_67

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-34288-2

  • Online ISBN: 978-3-642-34289-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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