People / Jorn van Kampen
PhD researcher
Jorn van Kampen
Phd candidate | Architecture design for multiple electric vehicle products
- Institution
- Eindhoven University of Technology
- Work package
- In NEON
- 2022 onwards
PhD candidate in WP4 (Electric cars and trucks) on architecture design for multiple electric vehicle products (automated spatial packaging of powertrains).
Jorn van Kampen studied Automotive Technology at Eindhoven University of Technology and was a long-time member of the InMotion student racing team. In his PhD in the Control Systems Technology section he developed computational design methods that optimize powertrain topology and the physical placement of components in vehicles, and he also worked on energy management and race strategies for electric endurance race cars.
About me
Continuously challenging myself and getting the best results is what I am aiming at. I have a multidisciplinary interest, which is why I chose the Automotive Technology study at the TU/e in which I received both a BSc and MSc. Next to my studies, I have been part of a student team for about six years during which we worked on a fast-charging fully electric race car. My current aim is to apply my acquired knowledge on electric vehicles and contribute to the energy transition.
Personal Motivation
I have a great passion for cars (as you could tell from my study choices), but at the same time I also feel the need to make the society more sustainable. This project combines the best of both worlds and allows me to contribute to both developments in vehicle design as well as making transportation more sustainable. In addition, I very much enjoy being part of a multi-disciplinary team that faces different kinds of challenges every day. Because we all work in close collaboration in the NEON research project and spend a lot of effort in understanding each other’s work, we can bring new insights to each other’s and our own projects. This unique workflow fits my own broad interests and I am convinced that this allows us to make the difference.
Architecture design for multiple electric vehicle products
In my research, I am developing a tool based on computational design methods to automatically optimize the powertrain topology of various electric vehicles. In the end, this tool should assist design engineers in the choice of technology, placement and interconnection of components over different system levels.
Link to other neon research
Within our work package, we have a close collaboration amongst the different PhD students, since we are all working on a part of the puzzle for optimal vehicle design. Within my research specifically, there is a connection to work package 5 (fast charging), since the charging infrastructure can have a large influence on the onboard charger part of the powertrain architecture.
Profile text from the former NEON website.
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Publications and talks
- ECCV control benchmark for sustainable transportation: Six example solutions (journal-article, 2026)
- A Decomposition-Based Framework for Joint Optimization and Spatial Packaging of Interconnected Systems with Physical Interactions (report, 2026)
- Competitor-aware Race Management for Electric Endurance Racing (report, 2026)
- Geometric Scaling of Battery Cells and Its Effect on Key Performance Indicators (report, 2026)
- Automated Three-Dimensional Spatial Optimization for Multidomain Systems With Alignment Constraints (journal-article, 2025)
- Human-in-the-loop energy and thermal management for electric racing cars through optimization-based control (journal-article, 2025)
- Two-dimensional Spatial Optimization for Electric Motorcycle Powertrain Elements using Mixed-integer Programming (report, 2025)
- Model Predictive Control Strategies for Electric Endurance Race Cars Accounting for Competitors’ Interactions (journal-article, 2024)
- Optimal Endurance Race Strategies for a Fully Electric Race Car Under Thermal Constraints (journal-article, 2024)
- A Two-dimensional Spatial Optimization Framework for Vehicle Powertrain Systems (conference-paper, 2024)
- Multi-layer optimisation of hybrid energy storage systems for electric vehicles (conference-paper, 2024)
- Power smoothing by kite tether force control for megawatt-scale airborne wind energy systems (conference-paper, 2024)
- System-level thermal and electrical modeling of battery systems for electric aircraft design (conference-paper, 2024)
- Winch Sizing for Ground-Generation Airborne Wind Energy Systems (conference-paper, 2024)
- A Human-optimized Model Predictive Control Scheme and Extremum Seeking Parameter Estimator for Slip Control of Electric Race Cars (report, 2024)
- Electric Mobility Design: From Powertrain Components to Vehicle Fleet Optimization (conference-paper, 2023)
- Maximum-distance race strategies for a fully electric endurance race car (journal-article, 2022)
- Minimum-lap-time Control Strategies for All-wheel Drive Electric Race Cars via Convex Optimization (conference-paper, 2022)