Pronostic de défaillance dans les systèmes à événements discrets basés sur les réseaux de Petri à temporel étendu : exemple de cellule de batterie d'une voiture électrique

International audienceThe complexity of critical systems does not tolerate an unplanned stop of attempted functionalities, which destabilizes their operation and causes material and human damage. This makes failure prognosis a requirement that scientific communities are constantly responding to through developing new techniques that reduce the impact of failures on the system. The control of failure events and the system repair date are very important in discrete event systems (DES) area to meet this requirement. Therefore, in the first part of this paper we propose a prognosis approach based on extended Petri Nets (EPN). A technique which makes it possible to determine the occurrence of a future failure event τ - time units in advance. For multi-resource prognosis, we will use several clocks