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Actual Congestion and Effect of Charger Addition in the Quick Charger Station: Case Study Based on the Records of Expressway
Author(s) -
ODA TAKUYA,
AZIZ MUHAMMAD,
MITANI TAKASHI,
WATANABE YOKO,
KASHIWAGI TAKAO
Publication year - 2017
Publication title -
electrical engineering in japan
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.136
H-Index - 28
eISSN - 1520-6416
pISSN - 0424-7760
DOI - 10.1002/eej.22906
Subject(s) - service (business) , queueing theory , computer science , value (mathematics) , transport engineering , electrical engineering , simulation , engineering , automotive engineering , computer network , business , marketing , machine learning
SUMMARY There were 18 electric vehicles, in average, per quick charger (QC), in Japan as of 2012, and this value may increase by a factor of several dozen by 2020. It is, therefore, necessary to model and analyze QC service, identify the causes of wait time, and provide countermeasures to avoid significant QC congestion and to encourage the spread of QC stations. This research analyzed usage data of a QC installed at an existing service area on expressway, and showed the characteristics of QC demand as distribution functions. QC service was modeled as a queuing problem, and simulations were carried out using derived distribution functions. The results showed that the QC station needs additional charger in the case of daily charging times over 10 times.