Post-Doctoral Research Visit F/M Strategies for Optimal EV Charging Infrastructure and Power Allocation in EV Electromobility Networks
Type de contrat : CDD
Contrat renouvelable : Oui
Niveau de diplôme exigé : Thèse ou équivalent
Fonction : Post-Doctorant
A propos du centre ou de la direction fonctionnelle
The Centre Inria de l’Université de Grenoble groups together almost 600 people in 22 research teams and 8 research support departments.
Staff is present on three campuses in Grenoble, in close collaboration with other research and higher education institutions (Université Grenoble Alpes, CNRS, CEA, INRAE, …), but also with key economic players in the area.
The Centre Inria de l’Université Grenoble Alpes is active in the fields of high-performance computing, verification and embedded systems, modeling of the environment at multiple levels, and data science and artificial intelligence. The center is a top-level scientific institute with an extensive network of international collaborations in Europe and the rest of the world.
Contexte et atouts du poste
Working Context. This research will be conducted by the DANCE research team (webpage): DANCE (“Dynamics
and Control of Networks”) is a joint team of GIPSA-lab and Inria Grenoble–Rhône-Alpes. Our team has a strong expertise in modeling, estimation and control of large-scale networks with application to Electromobility. The research will be part of the PEPR Digitalisation et Décarbonation des Mobilités (MOBIDEC: https://pepr-mobidec.fr/), and the sub-project PC1: FORBAC “FORecasting impacts of mobility, BACkcasting optimal decisions”.
Mission confiée
Scientific Context. Our group has developed eMob-TwinV1 build upon the findings of the ERC-AdG Scale-FreeBack (emob-twin.inrialpes.fr), resulting in an e-mobility simulation tool driven by digital twin technology. eMob-Twin serves a wide range of purposes including forecasting, analysis, and unlocking EV flexibility, catering to the needs of companies, stakeholders, and electricity markets. Initially designed for the Grenoble metropolitan area, a new version currently under development, eMob-TwinV2, will have the capability to encompass any other metropolitan city in France, incorporating auto-calibration functionalities. Primarily focused on electric vehicle (EV) mobility and their state of charge, it also integrates multi-power charging stations. In the context of the PEPR-FORBAC initiative, we aim to tackle two primary challenges. Firstly, we seek to optimize the placement of charging stations (PC location) to ensure efficient coverage. Secondly, we aim to optimize power delivery density per unit area, utilizing the steady-state solution of the dynamic electromobility model while adhering to energy equilibria constraints (ensuring EV charging demand matches the charging station supply infrastructure). Results will be integrated as a toolbox in the eMob-Twin V2 software.
Principales activités
Work program. The work program includes several key areas of development, focusing on model extensions, large-scale optimization challenges, and software implementation:
- Expanding the existing model referenced in [1, 2] to incorporate additional nodes representing Charge Stations with actual capacity, driver-user price models, and their integration with the grid,
- Following ideas in [2], devising highly efficient optimization algorithms (including learning and IA strategies) for charge station placement and power delivery density per unit area within the expanded model framework. These solutions should be scalable to cover the entire graph model,
- Integrating the developed algorithms (both the model extension and optimization algorithms) into eMob-Twin V2, and conducting comparative analyses of optimization outcomes with those provided by policymakers and urban planners (SDRIVE).
The integration of software components will be undertaken with the assistance of our local team of Research Engineers.
References
- Rodriguez-Vega, M., Canudas-de Wit, C., Nunzio, G.D., and Othman, B. (2023). A graph-based mobility model for electric vehicles in urban traffic networks: Application to the Grenoble metropolitan area. In 2023 European Control Conference (ECC), Bucarest, Ru.
- Mourgues, R., and Canudas-De-Wit, C. , Rodriguez-Vega, M., (2023). Optimal location of evs public charging stations based on a macroscopic urban electromobility In 2023 62nd IEEE Conference on Decision and Control (CDC), 3122–3129.
Compétences
Request Background. Optimization, Applied mathematics, physical modeling, IA
Avantages
- Subsidized meals
- Partial reimbursement of public transport costs
- Leave: 7 weeks of annual leave + 10 extra days off due to RTT (statutory reduction in working hours) + possibility of exceptional leave (sick children, moving home, etc.)
- Possibility of teleworking and flexible organization of working hours
- Professional equipment available (videoconferencing, loan of computer equipment, etc.)
- Social, cultural and sports events and activities
- Access to vocational training
- Social security coverage
Rémunération
- 2788 euros/month gross salary
Informations générales
- Thème/Domaine :
Optimisation, apprentissage et méthodes statistiques
Calcul Scientifique (BAP E) - Ville : Montbonnot
- Centre Inria : Centre Inria de l'Université Grenoble Alpes
- Date de prise de fonction souhaitée : 2024-09-01
- Durée de contrat : 12 mois
- Date limite pour postuler : 2024-07-31
Attention: Les candidatures doivent être déposées en ligne sur le site Inria. Le traitement des candidatures adressées par d'autres canaux n'est pas garanti.
Consignes pour postuler
Sécurité défense :
Ce poste est susceptible d’être affecté dans une zone à régime restrictif (ZRR), telle que définie dans le décret n°2011-1425 relatif à la protection du potentiel scientifique et technique de la nation (PPST). L’autorisation d’accès à une zone est délivrée par le chef d’établissement, après avis ministériel favorable, tel que défini dans l’arrêté du 03 juillet 2012, relatif à la PPST. Un avis ministériel défavorable pour un poste affecté dans une ZRR aurait pour conséquence l’annulation du recrutement.
Politique de recrutement :
Dans le cadre de sa politique diversité, tous les postes Inria sont accessibles aux personnes en situation de handicap.
Contacts
- Équipe Inria : DANCE
-
Recruteur :
Canudas-de-wit Carlos / carlos.canudas-de-wit@inria.fr
L'essentiel pour réussir
The integration of software components will be undertaken with the assistance of our local team of Research Engineers.
A propos d'Inria
Inria est l’institut national de recherche dédié aux sciences et technologies du numérique. Il emploie 2600 personnes. Ses 215 équipes-projets agiles, en général communes avec des partenaires académiques, impliquent plus de 3900 scientifiques pour relever les défis du numérique, souvent à l’interface d’autres disciplines. L’institut fait appel à de nombreux talents dans plus d’une quarantaine de métiers différents. 900 personnels d’appui à la recherche et à l’innovation contribuent à faire émerger et grandir des projets scientifiques ou entrepreneuriaux qui impactent le monde. Inria travaille avec de nombreuses entreprises et a accompagné la création de plus de 200 start-up. L'institut s'efforce ainsi de répondre aux enjeux de la transformation numérique de la science, de la société et de l'économie.