Title

EnRoute - EV Charging Station Locator

Document Type

Poster

Event Website

https://source2022.sched.com/

Start Date

16-5-2022

End Date

16-5-2022

Keywords

Electronic Vehicles, Computer Science, Mobile Application

Abstract

As gasoline is an unsustainable resource, the push to transition to electric cars has steadily increased. As a result, the infrastructure to support these types of vehicles has also improved, and several businesses have come into the field to fulfill this need. As Tesla was one of the first in the field, they have their own plugs and their own charging stations and a hassle-free payment system. However, Tesla is not the only company in either the EV producing and charger producing field. Ford, Hyundai, Nissan, and most other car companies have started their own line of EV’s and they all have the same standard charging plug (different from Tesla’s) and also have different brands, prices, and no centralized way to find these charging stations, check prices, and pay for them. This issue was brought to the CWU Computer Science Department by Envorso, a consulting firm. To solve the issue of non-Tesla owners having a poor experience when charging, a cross–platform account federation Android mobile application was developed using the Flutter framework and the Google Maps API, as well as various other APIs for solving small tasks. User data and charger station data was stored on an external database. The app allows users to create an account, search for chargers nearby and within a given city, filter chargers by speed or price, navigate to chargers, and save their favorite chargers. The infrastructure for the federation of charging service accounts was created and is currently in an early testing stage. If the project is to be continued on by the client, the federation system will be fully implemented, the database will expand to more locations within Washington, and the app will have an iOS release.

https://www.cwu.edu/news/cwu-computer-science-students-develop-app-ford-motor-company

Faculty Mentor(s)

Szilard Vajda

Department/Program

Computer Science

Additional Mentoring Department

Computer Science

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May 16th, 12:00 AM May 16th, 12:00 AM

EnRoute - EV Charging Station Locator

As gasoline is an unsustainable resource, the push to transition to electric cars has steadily increased. As a result, the infrastructure to support these types of vehicles has also improved, and several businesses have come into the field to fulfill this need. As Tesla was one of the first in the field, they have their own plugs and their own charging stations and a hassle-free payment system. However, Tesla is not the only company in either the EV producing and charger producing field. Ford, Hyundai, Nissan, and most other car companies have started their own line of EV’s and they all have the same standard charging plug (different from Tesla’s) and also have different brands, prices, and no centralized way to find these charging stations, check prices, and pay for them. This issue was brought to the CWU Computer Science Department by Envorso, a consulting firm. To solve the issue of non-Tesla owners having a poor experience when charging, a cross–platform account federation Android mobile application was developed using the Flutter framework and the Google Maps API, as well as various other APIs for solving small tasks. User data and charger station data was stored on an external database. The app allows users to create an account, search for chargers nearby and within a given city, filter chargers by speed or price, navigate to chargers, and save their favorite chargers. The infrastructure for the federation of charging service accounts was created and is currently in an early testing stage. If the project is to be continued on by the client, the federation system will be fully implemented, the database will expand to more locations within Washington, and the app will have an iOS release.

https://www.cwu.edu/news/cwu-computer-science-students-develop-app-ford-motor-company

https://digitalcommons.cwu.edu/source/2022/COTS/19