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Politecnico di Milano

Department of Energy · Milan, Italy

Techno-economic optimisation of second-life EV batteries for grid storage

Build an optimisation model that sizes and dispatches repurposed EV batteries for frequency regulation in the Italian grid.

Master'sEnergyEnergy storagePower systemsUnfundedOn-site

1

Background

Build an optimisation model that sizes and dispatches repurposed EV batteries for frequency regulation in the Italian grid. This project sits within the energy storage and power systems activities of our group at Politecnico di Milano, and builds on several recent publications and ongoing collaborations with industry and other research groups.

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Objectives

  • Review the state of the art in second-life batteries and formulate a precise research question
  • Design and implement the methodology described above
  • Evaluate results rigorously, including ablations and comparison with baselines
  • Document the work in a thesis and, where results allow, a conference paper
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What you will do

You will join weekly group meetings, work closely with a PhD student as day-to-day supervisor, and have access to our computing/lab infrastructure. We expect independent work, curiosity and good communication. The exact scope is adapted to a master thesis of about 6 months.

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What we offer

  • Supervision by Marco Rossi and an experienced team
  • Help with applying for Erasmus+ or other mobility grants
  • An international environment and the possibility to continue with a PhD for strong candidates
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How to apply

Apply through ThesisAbroad with your CV, transcript and a short motivation explaining why this topic interests you. Shortlisted candidates are invited to a 30-minute video call.

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Requirements

  • Enrolled in a master programme in Energy or a related field
  • Solid background in energy storage
  • English (B2 or higher), Italian (B2 or higher)
  • Programming or lab experience relevant to the topic
  • Ability to spend the full duration on site
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