Analysis and Optimization of Aircraft Electrical Systems using Partial Modeling Techniques

In Model-Based Systems Engineering (MBSE), certain model information is needed for early stage analysis such as system architecture analysis. However, often such information is not available, especially when the organization's transformation to MBSE is ongoing, which is typically a long process for many large companies. There is a need for being able to perform some analysis or receive other partial benefit from MBSE, at early stages, without having to fully implement all models with high-fidelity. This paper proposes a novel partial modeling approach to support early stage analysis such as system architecture optimization. The approach includes proper dispositioning of different kinds of models and tools, uncertainty quantification using polynomial chaos expansion, and adaptable system design methods. We demonstrate it on an aircraft electrical power system to support early stage analyses that include load and terminal voltage analyses, and a sustainable electrical architecture optimization.