Abstract
This paper developed two models to analyze the criteria in the selection of power sources for electric vehicles, the Expectation–Maximization Principal Component Analysis Model and Analytic Hierarchy Process Model. EM-PCA model can extract key independent factors among those complicated issues related to the selection of electric vehicles while AHP model tells us the selection of power source in a certain region. The results show that optimal selection of power sources differ from regions. For example, North America should put forward the priority to renewable energy as the selection of power source while Middle East should use petroleum.
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© 2011 Springer-Verlag Berlin Heidelberg
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Li, P. (2011). Power Source Selection Problems for Electric Vehicles. In: Lin, S., Huang, X. (eds) Advances in Computer Science, Environment, Ecoinformatics, and Education. CSEE 2011. Communications in Computer and Information Science, vol 217. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23339-5_63
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DOI: https://doi.org/10.1007/978-3-642-23339-5_63
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-23338-8
Online ISBN: 978-3-642-23339-5
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