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A Computationally Efficient and Human Implementable Minimum-lap-time Control Policy for Energy-limited Race Cars
Erik van den Eshof, Wytze de Vries, Mauro Salazar
This paper presents a provably optimal, real-time capable energy management policy for race cars that provides simple human-driver-implementable control cues. Specifically, we firs…
Two-dimensional Spatial Optimization for Electric Motorcycle Powertrain Elements using Mixed-integer Programming
Jorn van Kampen, Chun-Cheng Huang, Mauro Salazar
This study presents a framework for optimizing the two-dimensional (2D) placement of electric motorcycle powertrain elements, accounting for the position, the orientation and geome…
A Sequential Convex Programming Approach to Free-trajectory Minimum-lap-time Optimization of Racing Cars
Erik van den Eshof, Wytze de Vries, Jorn van Kampen +1
This paper presents a modeling and optimization framework to compute the minimum-lap-time spatial trajectory and powertrain operation of racing cars in a computationally efficient…
Human-in-the-loop Energy and Thermal Management for Electric Racing Cars through Optimization-based Control
Erik van den Eshof, Jorn van Kampen, Mauro Salazar
This paper presents an energy and thermal management system for electric race cars, where we tune a lift-off-throttle signal for the driver in real-time to respect energy budgets a…