Data-driven optimal charging decision making for connected and automated electric vehicles [electronic resource] : A personal usage scenario.
This study introduces an optimal charging decision making framework for connected and automated electric vehicles under a personal usage scenario. This framework aims to provide charging strategies, i.e. the choice of charging station and the amount of charged energy, by considering constraints from...
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| Format: | Government Document Electronic eBook |
| Language: | English |
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Idaho Falls, Idaho : Oak Ridge, Tenn. :
Idaho National Laboratory ; Distributed by the Office of Scientific and Technical Information, U.S. Department of Energy,
2017.
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E 1.99:inl-jou-17-41999
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| E 1.99:inl-jou-17-41999 | Available |