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Erschienen in:
2018 | OriginalPaper | Buchkapitel
68. A Generic Model for Coordinating the Individual Energy Demand of Electric Vehicles: Optimizing the Coordination Problem Between Electric Vehicles and Charging Points with the Implementation of a Genetic Algorithm
verfasst von : Malte Zuch, Arne Koschel, Andreas Hausotter
Erschienen in: Digital Marketplaces Unleashed
Verlag: Springer Berlin Heidelberg
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Abstract
Modern vehicles contain several sensors for recognizing their direct environment. Their computational capabilities
get enhanced continuously by including more calculation power, more memory storage capacity, and better communication
technologies into the vehicles. Especially electric vehicles can offer those new technologies and are able to share data
concerning the current state of charge of their batteries and their current positions. Such data can be used to
coordinate and support electric vehicles during their search for unoccupied charging points. Therefore, a generic model
will be described to handle those data in a uniform manner. Based on this standardized data representation, a genetic
algorithm will be applied to optimize the coordination between electric vehicles and charging points.