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Management of electrical vehicles loading as flexibility vector for the grid

Technological challenge: Energy efficiency for smart buildings, electrical mobility and industrial processes (learn more)

Department: Département des Technologies Solaires (LITEN)

Laboratory: Laboratoire Systèmes Electriques Intelligents

Start Date: 01-09-2022

Location: Grenoble

CEA Code: SL-DRT-22-0692

Contact: bruno.robisson@cea.fr

The European Commission plans to ban the marketing of new combustion engine vehicles from 2035. This decision will accelerate the growth of 100% electric vehicles (EVs), which have already accounted for 9% of new car sales in France in the first 3 quarters of 2021. This growth will have to be accompanied by a rapid development of the electric vehicle charging infrastructure (IRVE), also by smart management tools. This piloting is a 'no regrets' solution from a technical and economic point of view in all the scenarios envisaged by RTE in its 'Energy Futures' report.In this context and as part of the EvolVE project, CEA and RTE launched an experiment at the beginning of 2020 that aims to synchronize the charging of inES and Cadarache electric vehicles with local solar photovoltaic production. As of December 1, 2021, more than forty charging points are managed by EMIS and more than 80 volunteers are participating in the experiments. The first results show that it is technically possible to synchronize loads and PV production but also that user behaviour is decisive. Thanks to these results, other applications of charging control of electric vehicles can now be envisaged. The objective of the PhD thesis is to define the most promising IRVE management application, then to develop it in EMIS and finally to deploy it on the Cadarache and INES sites. To achieve these objectives, the student will first carry out a technical-economic and regulatory analysis. For this purpose, he may use a simulation module integrated into EMIS. In a second step, the student will implement the control algorithm corresponding to the selected application and finally validate this algorithm, first in simulation, then experimentally on the Cadarache and INES sites.

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