Strategic Co-Design in Formula 1: Balancing Physical Configuration and Race Tactics
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2024
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Working Paper
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yes
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Abstract
The development of high performance Formula 1 vehicles is a challenging undertaking. Due to the high complexity of the system, the possibilities to increase efficiency and thus enhance performance in many different subsystems are integral part of a successful vehicle. This research presents a novel multi-objective optimization approach based on applied category theory, which tackles the interdisciplinarity arising from multiple physical subsystems as well as strategic decisions. We first analyze lap-specific aspects and show optimal implementations for the choice of crucial components of a hybrid electric powertrain in racing application. Key objectives include minimizing lap time and short-term component wear, by selecting the optimal components and choosing maximum power deployment. Our op- timization results demonstrate significant differences in optimal configuration depending on track characteristics. Then, we raise the level of abstraction and extend the framework to a race scenario, where we include strategic aspects of the competition by means of data-based models and optimization results. The goals are minimizing race time and component wear, while considering energy allocation strategies, pit stops and uncertainties that might occur. By means of a case study we show the influence of a successful qualifying session on the race strategy and therefore component wear. This study provides a foundational framework for future advancements in racing strategy, advocating continued innovation and adoption within the racing industry.
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ETH Zurich
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08840 - Onder, Christopher (Tit.-Prof.)