The research objective of this project is to find novel methods to overcome these challenges and provide deeper understanding of cycle-to-cycle variations and knocking. Since physicsbased models have undergone extensive investigations in the past and have proven deficiencies in predictive ability, the novel methods that are the objectives of this project will primarily comprise data-driven approaches or similar methods from data science. These approaches should bring improvements when applied in combination with the physics-based approaches.
|Effective start/end date||1/04/20 → 31/12/23|
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