Back to Search
Start Over
Optimal Size of a Smart Ultra-Fast Charging Station
- Source :
- Electronics; Volume 10; Issue 23; Pages: 2887, Electronics, Vol 10, Iss 2887, p 2887 (2021)
- Publication Year :
- 2021
- Publisher :
- MDPI AG, 2021.
-
Abstract
- An ever-increasing penetration of electric vehicles (EVs) on the roads inevitably leads to an ever-stringent need for an adequate charging infrastructure. The emerging ultra-fast charging (UFC) technology has the potential to provide a refueling experience similar to that of gasoline vehicles; hence, it has a key role in enabling the adoption of EVs for medium-long distance travels. From the perspective of the UFC station, the differences existing in the EVs currently on the market make the sizing problem more challenging. A suitably conceived charging strategy can help to address these concerns. In this paper, we present a smart charging station concept that, through a modular DC/DC stage design, allows the split of the output power among the different charging ports. We model the issue of finding the optimal charging station as a single-objective optimization problem, where the goal is to find the number of modular shared DC/DC converters, and where the power rate of each module ensures the minimum charging time and charging cost. Simulation results show that the proposed solution could significantly reduce the required installed power. In particular, they prove that with an installed power of 800 kW it is possible to satisfy the needs of a UFC station composed of 10 charging spots.
- Subjects :
- Optimization problem
TK7800-8360
Electric vehicles
Computer Networks and Communications
Computer science
business.industry
Smart charging
Converters
Modular design
Sizing
Automotive engineering
Power (physics)
Charging station
Hardware and Architecture
Control and Systems Engineering
Signal Processing
Key (cryptography)
Ultra fast
Modular charging architecture
smart charging
electric vehicles
modular charging architecture
Electronics
Electrical and Electronic Engineering
business
Subjects
Details
- ISSN :
- 20799292
- Volume :
- 10
- Database :
- OpenAIRE
- Journal :
- Electronics
- Accession number :
- edsair.doi.dedup.....d24a926cf44ac595b9e405c1eb8bcb80
- Full Text :
- https://doi.org/10.3390/electronics10232887