The AQUAS ECSEL Project Aggregated Quality Assurance for Systems: Co-Engineering Inside and Across the Product Life Cycle

There is an ever-increasing complexity of the systems we engineer in modern society, which includes facing the convergence of the embedded world and the open world. This complexity creates increasing difficulty with providing assurance for factors including safety, security and performance. In such a context, the AQUAS project investigates the challenges arising from e.g., the inter-dependence of safety, security and performance of systems and aims at efficient solutions for the entire product life-cycle. The project builds on knowledge of partners gained in current or former EU projects and will demonstrate the newly developed methods and techniques for co-engineering across use cases spanning Aerospace, Medicine, Transport and Industrial Control.A special thanks to all the AQUAS consortium people that have worked on the AQUAS proposal on which this paper is based, especially to Charles Robinson (TRT), the proposal coordinator. The AQUAS project is funded from the ECSEL Joint Undertaking under grant agreement n 737475, and from National funding

Connected and shared X-in-the-loop technologies for electric vehicle design

The presented paper introduces a new methodology of experimental testing procedures required by the complex systems of electric vehicles (EV). This methodology is based on real-time connection of test setups and platforms, which may be situated in different geographical locations, belong to various cyber-physical domains, and are united in a global X-in-the-loop (XIL) experimental environment. The proposed concept, called XILforEV, allows exploring interdependencies between various physical processes that can be identified or investigated in the process of EV development. The paper discusses the following relevant topics: global XILforEV architecture; realization of required high-confidence models using dynamic data driven application systems (DDDAS) and multi fidelity models (MFM) approaches; and formulation of case studies to illustrate XILforEV application

Comparison of Energetic Macroscopic Representation and structural representation on EV simulation under Simcenter Amesim

European Union (EU)Horizon 2020International audienceThe development of electric vehicles has been spectacular over the last 20 years, so the automotive industry has started to shift mass production of electrified vehicles. However, new electrified vehicles are required to face the needs of the users. Simulation is a key step for development of new vehicle. Organization tools, such as Energetic Macroscopic Representation (EMR), have therefore been developed to improve and speed-up the development of virtual electric vehicle models. The paper presents a comparison between functional and a structural representation on EV simulation under Simcenter Amesim. This paper studies the impact of the two representations on the simulation results and time. For this purpose, an EMR library for the Simcenter Amesim simulation tool has been developed