On the Co-Design of Components and Racing Strategies in Formula 1

We present a study focusing on the joint optimization of the sizing of hardware components as well as strategic decisions for a race car in a Formula 1 setting. Our research leverages a monotone theory of co-design, which allows for hardware and software considerations to achieve optimal, synergistic performance improvements. We aim to identify the Pareto optimal curves that illustrate the optimal balance between conflicting objectives, such as lap time, energy allocation, and component choice, within the tight constraints imposed by the regulations. The results of the study demonstrate the versatility of our framework by showing optimal component sizing on two structurally different track layouts on a single lap. Moreover, by increasing the amount of laps under consideration, we show the ability of our tool to consider strategic energy allocation decisions.