Model-Based Approach for Engine Performance Optimization
Model-based approach for engine performance optimization How model-based testing and optimization can support the improvement of performance, drivability, durability and fuel consumption of motorcycle (race) engines //Abstract State-of-the-art motorcycle engines consist of numerous variable components and require a powerful motor management to meet the growing customer expectations and the legislative requirements (e.g. exhaust and noise emissions, fuel consumption) at the same time. These demands are often competing and raise the level of complexity in calibration. In the racing domain, the optimization requirements are usually higher and test efficiency is crucial. Whilst the number of variables to control are growing, the time to perform an engine optimization remains or is even shortened. Therefore, simulation is becoming an essential part of the engine calibration optimization.