Public charging infrastructure in Japan – A stochastic modelling analysis. (September 2017)
- Record Type:
- Journal Article
- Title:
- Public charging infrastructure in Japan – A stochastic modelling analysis. (September 2017)
- Main Title:
- Public charging infrastructure in Japan – A stochastic modelling analysis
- Authors:
- Rominger, Julian
Farkas, Csaba - Abstract:
- Highlights: 14.4% of the time are any of the 6 fast chargers per 100 EVs actually occupied. A maximum of three fast chargers are utilized at the same time. The probability that a vehicle would be waiting at a fast charging station is 1.8%. The no. of waiting cars increases exponentially as the no. of available fast chargers decreases. Abstract: Electric vehicles (EV) are treated as a breakthrough technology in the automotive market. The novelty of this technology also implicates that the incidence of these vehicles worldwide is still low. An important issue regarding EVs is the existence of proper charging infrastructure as waiting at charging stations due to an inadequate number of chargers can discourage EV owners. However, as the number of EVs and charging stations are low at present, real world experience is not available, so computer simulations are required for the planning of such charging stations. We developed a stochastic model in this paper that includes driving and charging behaviour of EV owners in Japan. The model is based on Monte Carlo methods and was implemented in MATLAB. We conducted simulations with this model to find out whether the existing infrastructure is adequate for the charging of a large number of EVs. The results indicate that Japan is well prepared for an increase in plug-in vehicles (PHEVs) in the near future: currently the country has 6 fast chargers for 100 electric cars and for this ratio - on average -, waiting probability at DC (directHighlights: 14.4% of the time are any of the 6 fast chargers per 100 EVs actually occupied. A maximum of three fast chargers are utilized at the same time. The probability that a vehicle would be waiting at a fast charging station is 1.8%. The no. of waiting cars increases exponentially as the no. of available fast chargers decreases. Abstract: Electric vehicles (EV) are treated as a breakthrough technology in the automotive market. The novelty of this technology also implicates that the incidence of these vehicles worldwide is still low. An important issue regarding EVs is the existence of proper charging infrastructure as waiting at charging stations due to an inadequate number of chargers can discourage EV owners. However, as the number of EVs and charging stations are low at present, real world experience is not available, so computer simulations are required for the planning of such charging stations. We developed a stochastic model in this paper that includes driving and charging behaviour of EV owners in Japan. The model is based on Monte Carlo methods and was implemented in MATLAB. We conducted simulations with this model to find out whether the existing infrastructure is adequate for the charging of a large number of EVs. The results indicate that Japan is well prepared for an increase in plug-in vehicles (PHEVs) in the near future: currently the country has 6 fast chargers for 100 electric cars and for this ratio - on average -, waiting probability at DC (direct current) fast chargers ranges lower than 5%, which is an acceptable value for EV owners. If, however, the ratio decreases, waiting probability increases exponentially. … (more)
- Is Part Of:
- International journal of electrical power & energy systems. Volume 90(2017)
- Journal:
- International journal of electrical power & energy systems
- Issue:
- Volume 90(2017)
- Issue Display:
- Volume 90, Issue 2017 (2017)
- Year:
- 2017
- Volume:
- 90
- Issue:
- 2017
- Issue Sort Value:
- 2017-0090-2017-0000
- Page Start:
- 134
- Page End:
- 146
- Publication Date:
- 2017-09
- Subjects:
- Charging infrastructure -- EV -- Fast charging -- Monte Carlo simulation -- Stochastic model
Electrical engineering -- Periodicals
Electric power systems -- Periodicals
Électrotechnique -- Périodiques
Réseaux électriques (Énergie) -- Périodiques
Electric power systems
Electrical engineering
Periodicals
621.3 - Journal URLs:
- http://www.sciencedirect.com/science/journal/01420615 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.ijepes.2017.01.022 ↗
- Languages:
- English
- ISSNs:
- 0142-0615
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4542.220000
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