TY - GEN
T1 - Tailoring Automotive E/E Architectures with Design Space Exploration
AU - Jean-Baptiste, Laurent
AU - Julien, Richefeu
AU - Bruno, Monsuez
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024/1/1
Y1 - 2024/1/1
N2 - Automotive E/E architectures truly became a creative ground for designers to innovate. Yet, we face a glass-ceiling trying to exploit such potential with existing tools, which led produced heterogeneous architectures to be altered over and over again. However, the subject remains neither simple nor in the hand of a single actor: carmakers, OEMs and standard consortiums do share responsibilities for those ambitious architectures. We developed a more meta oriented methodology, illustrated with us integrating an abstracted driving monitoring system (DMS) onto an external system. As a result, we found it possible to progressively move toward complex solutions while navigating the solution space. Moreover, this guided design space exploration (DSE) also allows us to backtrack to former decisions later on. For example, backtracking would occur if we receive new priorities from decision makers, which would involve a re-evaluation of our constraints. Compared to existing solutions, we encompass the entire design process as to view the target system as a single project, rather than an aggregation of components. This, at last, helps with global optimization and the avoid-ance of side effects otherwise brought at the final integration phase. Though promising, we are still in the process of seeing if our method will remain simple enough against the combinatory explosion of an exhaustive architectural description.
AB - Automotive E/E architectures truly became a creative ground for designers to innovate. Yet, we face a glass-ceiling trying to exploit such potential with existing tools, which led produced heterogeneous architectures to be altered over and over again. However, the subject remains neither simple nor in the hand of a single actor: carmakers, OEMs and standard consortiums do share responsibilities for those ambitious architectures. We developed a more meta oriented methodology, illustrated with us integrating an abstracted driving monitoring system (DMS) onto an external system. As a result, we found it possible to progressively move toward complex solutions while navigating the solution space. Moreover, this guided design space exploration (DSE) also allows us to backtrack to former decisions later on. For example, backtracking would occur if we receive new priorities from decision makers, which would involve a re-evaluation of our constraints. Compared to existing solutions, we encompass the entire design process as to view the target system as a single project, rather than an aggregation of components. This, at last, helps with global optimization and the avoid-ance of side effects otherwise brought at the final integration phase. Though promising, we are still in the process of seeing if our method will remain simple enough against the combinatory explosion of an exhaustive architectural description.
KW - Toolchain
KW - automotive E/E architecture
KW - design
KW - design space exploration
KW - methodology
KW - model based design
KW - software defined vehicle
UR - https://www.scopus.com/pages/publications/85207818534
U2 - 10.1109/ETFA61755.2024.10711006
DO - 10.1109/ETFA61755.2024.10711006
M3 - Conference contribution
AN - SCOPUS:85207818534
T3 - IEEE International Conference on Emerging Technologies and Factory Automation, ETFA
BT - 2024 IEEE 29th International Conference on Emerging Technologies and Factory Automation, ETFA 2024
A2 - Facchinetti, Tullio
A2 - Cenedese, Angelo
A2 - Bello, Lucia Lo
A2 - Vitturi, Stefano
A2 - Sauter, Thilo
A2 - Tramarin, Federico
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 29th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2024
Y2 - 10 September 2024 through 13 September 2024
ER -