To achieve world-class engineering quality and reduce the effort and cost associated with conventional techniques, it is essential to incorporate digital validation during the development and validation phases. This research paper explores the methodologies and applications of advanced simulation tools for creating models of engines and their sub-components using MATLAB/Simulink, parameterizing these systems with AVL CruiseM, and operating them using ETAS Labcar-Operator.
The paper provides an in-depth analysis of optimizing engine and after-treatment parameters, demonstrating their impact on performance and environmental compliance. It presents a series of simulation case studies that illustrate the effects of different parameter settings on the efficiency and emission levels of diesel passenger and commercial vehicle engines.
These case studies highlight the overall workflow of model-based system development, emphasize various development milestones, and correlate these with actual data. The research also addresses challenges encountered during the parameterization process, such as data accuracy, computational constraints, and model validation. Through multiple iterations, a model accuracy of 90% compared to actual test data is achieved.
The findings emphasize the crucial role of advanced simulation tools in modern automotive engineering. By utilizing these tools, engineers can design more efficient and environmentally friendly vehicles. The paper concludes with a discussion on the future directions of simulation technology and its potential to drive further advancements in the automotive industry.
Keywords: engine parameterization, after-treatment systems, automotive simulation, emission control, fuel efficiency, simulation tools, AVL CruiseM, MATLAB/Simulink, ETAS Labcar-Operator, model validation, computational efficiency.