Abstract
To handle increasing complexity in product development, model-based systems engineering (MBSE) approaches are well suited, in which the technical system is represented in a system model. To efficiently test requirements, domain models are integrated into the system model. For each purpose (e.g., battery lifetime calculation), there are typically several models at several fidelity levels. Since the model signatures (i.e., necessary inputs for the models and their outputs) differ depending on the fidelity level, not all models can be used in any development phase. In addition, due to the different model signatures, not all models can be combined arbitrarily to model networks. Currently, valid model networks in system models must be determined in a time-consuming, manual process. Therefore, this paper presents an approach that automates this task via the implementation of an algorithm that analyzes a system model and the model signatures and automatically returns all valid model networks. When input parameters, models or their signatures change, the algorithm updates automatically, and the user receives the valid model network without any manual effort. The approach is demonstrated with the running example of battery system development.
Funder
German Federal Ministry of Education and Research
Subject
Information Systems and Management,Computer Networks and Communications,Modeling and Simulation,Control and Systems Engineering,Software
Reference42 articles.
1. European Commission (2022, April 19). Fit for 55: Delivering the EU’s 2030 Climate Target on the Way to Climate Neutrality. Available online: https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=CELEX:52021DC0550.
2. End-of-life or second-life options for retired electric vehicle batteries;Zhu;Cell Rep. Phys. Sci.,2021
3. Lithium-ion battery 2nd life used as a stationary energy storage system: Ageing and economic analysis in two real cases;Rallo;J. Clean. Prod.,2020
4. A Comprehensive Review on Second-Life Batteries: Current State, Manufacturing Considerations, Applications, Impacts, Barriers & Potential Solutions, Business Strategies, and Policies;Hossain;IEEE Access,2019
5. A Review on Electric Vehicles: Technologies and Challenges;Sanguesa;Smart Cities,2021
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