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20212026
most citedOptimal Endurance Race Strategies for a Fully Electric Race Car under Thermal Constraints

2 citations · 3 across the 8 of their papers we have counts for

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8 papers

eess.SY2026

Geometric Scaling of Battery Cells and Its Effect on Key Performance Indicators

Tim de Krijger, Jorn van Kampen, Mouhriz Boulghalgh +1

This paper presents a computationally lightweight scaling model for cylindrical lithium-ion battery cells, intended for early-stage battery design-space exploration. The model maps…

cs.CE2026

A Decomposition-Based Framework for Joint Optimization and Spatial Packaging of Interconnected Systems with Physical Interactions

Julian Bückmann, Jorn van Kampen, Theo Hofman

This paper presents an approach and application of optimization of spatial packaging of interconnected systems with physical interactions (SPI2) in three-dimensional component plac…

eess.SY2026

Competitor-aware Race Management for Electric Endurance Racing

Wytze de Vries, Erik van den Eshof, Jorn van Kampen +1

Electric endurance racing is characterized by severe energy constraints and strong aerodynamic interactions. Determining race-winning policies therefore becomes a fundamentally mul…

eess.SY2024

Model Predictive Control Strategies for Electric Endurance Race Cars Accounting for Competitors Interactions

Jorn van Kampen, Mauro Moriggi, Francesco Braghin +1

This paper presents model predictive control strategies for battery electric endurance race cars accounting for interactions with the competitors. In particular, we devise an optim…

eess.SY2023★ 1 cited

A Two-dimensional Spatial Optimization Framework for Vehicle Powertrain Systems

Jorn van Kampen, Mauro Salazar, Theo Hofman

This paper presents a modeling framework to optimize the two-dimensional placement of powertrain elements inside the vehicle, explicitly accounting for the rotation, relative place…

math.OC2023★ 2 cited

Optimal Endurance Race Strategies for a Fully Electric Race Car under Thermal Constraints

Jorn van Kampen, Thomas Herrmann, Theo Hofman +1

This paper presents a bi-level optimization framework to compute the maximum-distance race strategies for a fully electric endurance race car, whilst accounting for the low-level v…

eess.SY2021

Maximum-distance Race Strategies for a Fully Electric Endurance Race Car

Jorn van Kampen, Thomas Herrmann, Mauro Salazar

This paper presents a bi-level optimization framework to compute the maximum-distance stint and charging strategies for a fully electric endurance race car. Thereby, the lower leve…

eess.SY2021

Minimum-lap-time Control Strategies for All-wheel Drive Electric Race Cars via Convex Optimization

Stan Broere, Jorn van Kampen, Mauro Salazar

This paper presents a convex optimization framework to compute the minimum-lap-time control strategies of all-wheel drive (AWD) battery electric race cars, accounting for the grip…