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Publication
Development and analysis of an open-source platform to simulate electric vehicle charging needs
| Name: | Description: | Size: | Format: | |
|---|---|---|---|---|
| 8.98 MB | Adobe PDF |
Advisor(s)
Abstract(s)
There is the need to improve the charging process of EVs. In order to do that, the field of smart-charging and
smart-charging algorithms emerged. Nevertheless, the studies involved in this field are complex, expensive, and
risky, leading to a need for prior simulations to analyze/predict the integration of EVs in the electrical networks.
There have been some solutions to solve this problem. However, they consist of either academic, proprietary, or
limited/rigid solutions. On that account, in this thesis, we have presented a solution that provides a handy and
intuitive tool for the researchers to simulate these scenarios with a decoupled and flexible simulation system. Its
decoupled architecture is accomplished by adopting open design approaches and the concept of containerized
micro-services, easing up the process of maintaining/extending it and providing high scalability. This solution
was evaluated in three assessments: migrating it to a remote production system, giving an external developer the
task of enhancing a given data model, and integrating this system with an external one. This solution delivered
good results in these three tasks. All in all, this solution was motivated by the good aspects of some solutions
found in the related work (and improving some of them), it fulfilled its objectives, and it solved the stated problem.
At the moment, this solution is already up and running on a production system while also being consumed
externally.
Description
Keywords
Software engineering Energy Smart-charging Machine learning Modelling Microservices Informatics Engineering . Faculdade de Ciências Exatas e da Engenharia