Racecar Engineering

Go with the ’flow

Performance is a multi-faceted word in Formula 1. It can be associated with lap time, driveability, top speed, tyre degradation, downforce, power unit output and efficiency, overall reliability, component stiffness, aerodynamic drag, resource efficiency in cost, time, energy and much more.

‘The IT team here at McLaren is a lean group, but our role is to ensure we provide platforms, technology and tools that the various teams within the Formula 1 group need to be as efficient as possible’ Edward Green, head of commercial technology at McLaren

The various areas of performance can all influence each other, so measuring depends on the data collected and the type of analysis undertaken. Each Formula 1 car carries around 300 sensors, which collectively produce 1.5 terabytes of data throughout a race weekend. For a race season, a two-car team produces some 11.8 billion data points. These must all be filtered and analysed to look for performance gains, reliability issues or strategies to make better decisions for the team. Or to work out what their competitors are doing.

From the 11.8 billion data points, it is fair to say that teams reasonably understand what the car is doing. However, to make performance gains and other improvements, they need to keep developing the car, find ways to be

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