{
  "$type": "site.standard.document",
  "description": "The present invention is related to a control architecture of a fuel cell propulsion system which exploits optimal predictive control unit and self-learning of the vehicle's behavior in real life. It is based on a model-based predictive control (MPC) algorithm which is a model-based control…",
  "path": "/patents/1380956",
  "publishedAt": "2026-04-16T00:00:00.000Z",
  "site": "at://did:plc:oql6ds5vnff4ugar6rruliwd/site.standard.publication/3mn3ohu7oxx5w",
  "tags": [
    "B60L15/2045",
    "DUMAREY Automotive Italia S.p.A."
  ],
  "textContent": "The present invention is related to a control architecture of a fuel cell propulsion system which exploits optimal predictive control unit and self-learning of the vehicle's behavior in real life. It is based on a model-based predictive control (MPC) algorithm which is a model-based control methodology to address constrained multi-variable control problems, exploiting a model to predict the future evolution of the system up to a predetermined time horizon. The control architecture optimization module is equipped with two optimizers coupled together to obtain a general optimization strategy of the fuel cell propulsion system. The two optimizers are characterized by two different dynamics, one slow and one fast, to manage subsystems with different dynamics as is the case of a fuel cell system slow dynamics) and a battery (fast dynamics).",
  "title": "CONTROL ARCHITECTURE OF A FUEL CELL PROPULSION SYSTEM"
}