Abstract
Aiming at building a city-wide smart transport system taking advantage of computational intelligence, this paper designs and develops a multi-purpose real-time tracking system for electric vehicles and charging infrastructures. Current battery remaining is monitored along with the current location for the EV side while the facility availability is mainly monitored for the charger side according to the standard data model and protocol. Its data model can efficiently cooperate with external information sources such as traffic condition updates. This framework implements a comprehensive user interface and abundant primitive application interfaces for potential electric vehicle services such as reservation, rent management, and scheduling. Upon this multi-purpose service platform, charging facility reservation services, sharing request processing services, and emergency rescue services are developed.
* This research was financially supported by the Ministry of Trade, Industry and Energy (MOTIE), Korea Institute for Advancement of Technology (KIAT) through the Inter-ER Cooperation Projects.
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Lee, J. et al. (2014). Design of a Multi-purpose Real-Time Tracking System for Electric Vehicles. In: Jeong, YS., Park, YH., Hsu, CH., Park, J. (eds) Ubiquitous Information Technologies and Applications. Lecture Notes in Electrical Engineering, vol 280. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41671-2_28
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DOI: https://doi.org/10.1007/978-3-642-41671-2_28
Publisher Name: Springer, Berlin, Heidelberg
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