Electric Vehicle Charger Managment System For Interoperabilty Charging Facilities

Abstract                                                                       
This paper designs and develops a real-time charger management system which keeps collecting the status information from chargers and converts control messages from the total operation center to a command predefined for charger control. RF cards complete the service chain from electric vehicles to the operation center, making the information flow  bidirectional.  The  extended  coverage  of  the  operation  control  over  the  charging infrastructure allows an easy payment for the charging fee, based on the membership management and personalized services. A web application is implemented on the digital map of the target city for users to retrieve necessary information from the system and find the best service and chargers. The massive amount of real-time charger monitoring data  is  being  accumulated  in  the  database,  and  big  data  analysis  will  allow  us  to  make intelligent plans for future smart grid city services

Junghoon Lee ,Gyung-Leen Park
Dept. of Computer Science and Statistics, Jeju National University



The time series of currently 78 days is converted to a set of learning patterns of a neural network model. The FANN library defines  the text file format for learning patterns and trace  sequences.  Based  on  this  forecast  model,  we trace  the  previous  behaviors  of  the  number  of  daily records.  Here,  the  solid  line  is  the  traced  utilization  pattern, and it finds the overall trend in the time series.  It is expected that the forecast model will be improved with more data.

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