MOVEMENT Research Group

In relation to our previous post on optimal endurance race strategies, we are delighted that our new paper "Model Predictive Control Strategies for Electric Endurance Race Cars Accounting for Competitors’ Interactions" has been accepted and published in the latest edition of the IEEE Control Systems Letters (L-CSS). This work authored by Jorn van Kampen is based on the master's thesis of Mauro Moriggi and is a joint collaboration between our research group of Mauro Salazar and the group of Francesco Braghin at the Politecnico di Milano. In this letter, we focused on an adaptive race strategy for fully electric endurance race cars. During an endurance race, many events can happen, such as competitor overtakes and safety cars. Each of these events can result in a deviation of the optimal race strategy, leading to potential time loss. To account for this, we leverage our race strategy optimization framework (see https://lnkd.in/gP3v7b7M) and apply it in an online MPC fashion to adjust the strategy during the race if needed. Moreover, we devised a decision making algorithm regarding interactions with competitors. The latter is another crucial aspect in electric racing, since overtaking competitors is a continuous trade-off between time gains and battery energy usage. As we show in our letter, it is sometimes better to stay behind the competitor and save energy, leading to a difference of 21s on a 1h race. If you are interested in more, you can find the letter here: https://lnkd.in/eTPU3wEV Feel free to contact on of the authors in case you have any questions and follow our group for more updates. Control Systems Technology (CST) TU/e Mechanical Engineering at TU/e

In relation to our previous post on optimal endurance race strategies, we are delighted that our new paper "Model Predictive Control Strategies for Electric Endurance Race Cars Accounting for Competitors’ Interactions" has been accepted and published in the latest edition of the IEEE Control Systems Letters (L-CSS). This work authored by Jorn van Kampen is based on the master's thesis of Mauro Moriggi and is a joint collaboration between our research group of Mauro Salazar and the group of Francesco Braghin at the Politecnico di Milano. In this letter, we focused on an adaptive race strategy for fully electric endurance race cars. During an endurance race, many events can happen, such as competitor overtakes and safety cars. Each of these events can result in a deviation of the optimal race strategy, leading to potential time loss. To account for this, we leverage our race strategy optimization framework (see https://lnkd.in/gP3v7b7M) and apply it in an online MPC fashion to adjust the strategy during the race if needed. Moreover, we devised a decision making algorithm regarding interactions with competitors. The latter is another crucial aspect in electric racing, since overtaking competitors is a continuous trade-off between time gains and battery energy usage. As we show in our letter, it is sometimes better to stay behind the competitor and save energy, leading to a difference of 21s on a 1h race. If you are interested in more, you can find the letter here: https://lnkd.in/eTPU3wEV Feel free to contact on of the authors in case you have any questions and follow our group for more updates. Control Systems Technology (CST) TU/e Mechanical Engineering at TU/e

It was great visiting European Commission Joint Research Centre in Ispra… and presenting our latest #mobility results and vision for a #sustainable, #accessible and #equiatable future 🚲 🚊 🚗 🚲 🍃 Thank you Biagio Ciuffo for the kind invitation and insightful discussions! MOVEMENT Research Group Control Systems Technology (CST) TU/e Mechanical Engineering at TU/e

This week we are excited to be represented at ACC 2024 with two papers on the infrastructure and operations behind #electricmobility: Thursday at 14:45 in Queens Quay 2 (Session Traffic Control II): Finn Vehlhaber presents our work on Electric Aircraft Assignment, Routing, and Charge Scheduling Considering the Availability of Renewable Energy. The paper was previously published in L-CSS and can also be found here. https://lnkd.in/eSm2pU_M Thursday at 16:00 in Queens Quay 2 in an invited session on Control Solutions for Enhancing the Efficiency and Adoption of Electric Vehicles: Juan Pablo Bertucci will be presenting his work on Joint Optimization of Charging Infrastructure Placement and Operational Schedules for a Fleet of Battery Electric Trucks. The paper is available here. https://lnkd.in/edfaaXxy Looking forward to interesting talks and discussions! Control Systems Technology (CST) TU/e Mechanical Engineering at TU/e

Great visit from Radboudumc… Prof. Federica Giardina gave a very interesting talk on mathematical models for infectious disease and pandemic control at our Control Systems Technology (CST) TU/e lunch colloquium. Thereafter, we had a very nice interdisciplinary discussion over our ZonMw projects on #pandemic preparedness #Equals and #MPPC. National Institute for Public Health and the Environment (RIVM) Mechanical Engineering at TU/e Mauro Salazar Dinesh Krishnamoorthy Valentina Breschi Riccardo Bertollo Marco Dell'Oro Veronica Malizia

I had a great time and a lot of fun at #IFAC CTS in Cyprus! Very happy to present and discuss our latest work on accessibility fairness (joint work with Sara Betancur Giraldo, Fabio Paparella and Leonardo Pedroso): https://lnkd.in/dR9T8SAR Moreover, it was great to meet my fantastic transportation colleagues Jessica Leoni, Silvia Siri, Antonella Ferrara, Miroslav Krstic, Simona Sacone, Carlos Canudas de Wit, Jack Haddad and Andreas A. Malikopoulos! Thank you Petros Ioannou for organizing such a great conference! MOVEMENT Research Group, Control Systems Technology (CST) TU/e, Mechanical Engineering at TU/e

We are very excited to share that our paper called "Optimal Endurance Race Strategies for a Fully Electric Race Car under Thermal Constraints" got published in IEEE Transactions on Control Systems Technology. The paper by one of our PhD candidates Jorn van Kampen, visiting PhD Thomas Herrmann, and professors Theo Hofman Mauro Salazar started as a Master thesis and has now finished as a second journal publication two years later. In the paper together with student team InMotion we answer the question of how to drive a fully electric endurance race car as time efficiently as possible and how we should plan our fast-charging sessions. Compared to the previous paper, we included the vehicle dynamics and powertrain temperatures in the convex model. The results were very surprising, since partially charging the battery turned out to be optimal. If you want to know why, have a look at our paper: https://lnkd.in/gP3v7b7M This doesn't mean that we finished the race. We are continuing research related to race strategy optimization, energy management and powertrain control using this paper and many predecessors as a basis. What should we do if we have competitors on the track instead of free-flow laps? How do we ensure that the driver can follow the optimal strategy? Are you interested in the answers to these questions? Follow our group for frequent updates on these and many related topics or contact one of the authors. Control Systems Technology (CST) TU/e Mechanical Engineering at TU/e Technische Universiteit Eindhoven

We are very excited to share that our paper called "Optimal Endurance Race Strategies for a Fully Electric Race Car under Thermal Constraints" got published in IEEE Transactions on Control Systems Technology. The paper by one of our PhD candidates Jorn van Kampen, visiting PhD Thomas Herrmann, and professors Theo Hofman Mauro Salazar started as a Master thesis and has now finished as a second journal publication two years later. In the paper together with student team InMotion we answer the question of how to drive a fully electric endurance race car as time efficiently as possible and how we should plan our fast-charging sessions. Compared to the previous paper, we included the vehicle dynamics and powertrain temperatures in the convex model. The results were very surprising, since partially charging the battery turned out to be optimal. If you want to know why, have a look at our paper: https://lnkd.in/gP3v7b7M This doesn't mean that we finished the race. We are continuing research related to race strategy optimization, energy management and powertrain control using this paper and many predecessors as a basis. What should we do if we have competitors on the track instead of free-flow laps? How do we ensure that the driver can follow the optimal strategy? Are you interested in the answers to these questions? Follow our group for frequent updates on these and many related topics or contact one of the authors. Control Systems Technology (CST) TU/e Mechanical Engineering at TU/e Technische Universiteit Eindhoven

Today we held the sixth edition of our workshop on future #mobility systems at ECC24 🇸🇪… …Extremely grateful to our great speakers for the inspiring talks and discussions, providing different visions on how to reason about the future of mobility and our role in it 🚲 🚋 🚙 ⚡️🌲 ❤️🩹 Interested in related talks at ECC? Check out our invited sessions on Control and Optimization for Emerging Mobility Systems, co-organized with Cecilia Pasquale, Silvia Siri and Andreas A. Malikopoulos: - Part 1 on Wed at 4:30pm in E1 - Part 2 on Thu at 10am in E1 - Part 3 on Thu at 2pm in E1 Raphael Stern Control Systems Technology (CST) TU/e University of Minnesota Andreas A. Malikopoulos Kenan Zhang Samitha Samaranayake Shelley Bontje Jonas Mårtensson Håkan Karlsson Stefania Santini Kameshwar Poolla

Currently hosting Prof. Philip Brown from University of Colorado Colorado Springs… …and letting him experience the Dutch mobility paradigm at its fullest 🚲, including a fresh sprinkle of rain 🌧️ Looking forward to his EAISI – Eindhoven Artificial Intelligence Systems Institute lecture on game theory tomorrow at 11am in Gemini Zuid 0.05, where he’ll explain how A Little Anarchy Never Hurt Anyone… https://lnkd.in/eVFmbGQ8 Control Systems Technology (CST) TU/e, Mechanical Engineering at TU/e, Eindhoven University of Technology