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Weather Forecast System for the World Solar Challenge

From the series: Student Teams Share Their Keys to Success

Nils Terpstra, Solar Team Eindhoven

Nils Terpstra shows how the TU Eindhoven team used MATLAB^® to pull weather data such as irradiance and wind speed/direction from various weather sources, and use an interactive approach to form a consensus to decide how to drive their solar vehicle efficiently.

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Bridging Wireless Communications Design and Testing with MATLAB

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Maximize efficiency by using an algorithm-based driving strategy with a vehicle model and GPS track data. Maximilian Amm, Alexander Hammerl, and Maximilian Mühlbauer designed a velocity controller for their EducEco / Shell Eco Marathon vehicle. Hammerl and Mühlbauer join Christoph Hahn, of MathWorks, to present their vehicle model and discuss their integration of a longitudinal velocity controller.

TUfast Eco Team's Longitudinal Cruise Controller

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