MOVEMENT

The mission of MOVEMENT (Modeling and Optimization for Vehicle Electrification, Mobility, Energy and Novel Topics) Research Group is to develop optimization models and methods for systems and control.

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鈥淏efore being engineers, you are first and foremost humans鈥 F. De Sanctis

Following an optimization-as-a-tool paradigm, our focus lies in devising design and control methods for multi-scale cyber-socio-technical systems, with main applications in mobility and energy and curiosity-driven exploratory projects in pandemics and advanced materials. Our overarching goal is to pursue research that is firmly anchored in our societal and environmental responsibility as engineers and, first and foremost, as individuals.

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Multi-scale Energy-Mobility Systems

The advent of electrified vehicles and their projected energy demand has significantly strengthened the interconnection between energy and mobility systems, so that cross-disciplinary approaches are needed if we are to reason about the design and deployment of sustainable technologies. In this context, the advent of automation and connectivity is giving us unprecedented opportunities to manage and operate vehicles accounting for their interconnection with the multi-energy infrastructure, which must also be adapted. Such a challenge inevitably requires a multi-scale and optimization-driven systems engineering approach to reason on how to shape future energy and mobility systems both in terms of design and operations.
We are devising models and algorithms to tackle this problem from several directions and scales: Our work spans the design and control of electric vehicle charging hubs鈥攊ncluding airports鈥攁nd the joint optimization of charging infrastructure and fleet operations for both ground and air mobility. This includes routing and charging strategies for electric aviation networks, as well as solutions for autonomous mobility, logistics, and shipping, incorporating vehicle-to-grid capabilities and battery health considerations to ensure efficiency and sustainability.

Electrified Propulsion Systems

Electrified powertrains are a key technology reshaping transport and logistics, and racing is the ideal platform to develop top-notch technologies. We have been creating optimization models to design and control high-performance propulsion systems for Formula 1 and full-electric racing, as well as road vehicles, also within multi-scale frameworks encompassing components and individual vehicles and up to vehicle families. This research is based on an integrated perspective that leverages control and optimization in a multi-scale fashion. As the potential of electrification is being studied for sustainable aviation, we are mobilizing control and optimization methods from automotive towards the aerospace domain, investigating complex aerospace propulsion systems combining hydrogen gas turbines, fuel cells and batteries.

Responsible Engineering Nexus

When reasoning on the operation and design of socio-technical systems such as energy and mobility in an environmentally and societally responsible fashion, we argue for a transdisciplinary perspective transcending engineering, establishing a nexus with analytical philosophy and social sciences that broadens our perspective and recirculates our questions. In this context, we have begun mobilizing philosophical theories of justice and wellbeing to the engineering domain, as they are crucial for the transition. First and foremost, we are studying the design and operation of energy and mobility systems aiming at a purposeful integration of new technologies in the existing infrastructure and in line with objectives that transcend utilitarian metrics and address aspects of justice from the social sciences. Second, we are exploring token economies to achieve fair resource allocation in line with different theories of justice.

Pandemic Control

During the Covid-19 pandemic, governments have been struggling to decide which policies to implement to limit the outbreak whilst minimizing collateral damage. This research focuses on the development of epidemiological optimization models and control algorithms to support policymakers in the roll-out of non-pharmaceutical interventions and vaccination strategies, in collaboration with Prof. Breschi (/en/research/researchers/valentina-breschi) as well as M谩xima Medisch Centrum and RIVM.

Materials Design

The design and synthesis of advances materials with desired properties often entails lengthy and expensive trial-and-error experiments. To overcome this limitation, we pursue the development of tougher ceramics by integrating data-driven optimization algorithms within meta-experimental frameworks. Through this approach, we aim to streamline the material design process and reduce the need for extensive experimental campaigns. We have been investigating such an approach to maximize strength and toughness of ceramic materials, obtaining promising initial results in collaboration with Group Giuntini (https://research.tue.nl/en/organisations/group-giuntini ) on the Double-tough Material Meta-experimental Design Optimization (DoMaMeDO) project.

Projects

FACULTY

Researchers, PostDocs, PhD鈥檚 & EngD's

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Student opportunities

Do you want to join us for a bachelor's or master's project? Please get in touch with group leader, Mauro Salazar.

Selected publications

Recent Publications

Our most recent peer reviewed publications

Past projects

Double-tough Material Meta-experimental Design Optimization (DoMaMeDO)

CONTACT