{
  "$type": "site.standard.document",
  "description": "Systems and methods for electric vehicle charge time prediction are provided. Embodiments include providing, as inputs to a machine learning model, one or more attributes of a battery of a vehicle and one or more attributes of a vehicle charger. Embodiments include receiving, from the machine…",
  "path": "/patents/1378407",
  "publishedAt": "2026-02-05T00:00:00.000Z",
  "site": "at://did:plc:oql6ds5vnff4ugar6rruliwd/site.standard.publication/3mn3ohu7oxx5w",
  "tags": [
    "G06N3/09",
    "Rivian IP Holdings, LLC"
  ],
  "textContent": "Systems and methods for electric vehicle charge time prediction are provided. Embodiments include providing, as inputs to a machine learning model, one or more attributes of a battery of a vehicle and one or more attributes of a vehicle charger. Embodiments include receiving, from the machine learning model in response to the inputs, a set of incremental charge time predictions corresponding to a plurality of increments between a current charge level of the battery of the vehicle and a target charge level of the battery of the vehicle. Embodiments include providing via a user interface screen, based on the set of incremental charge time predictions, a charge time estimate for charging the battery of the vehicle using the vehicle charger.",
  "title": "ELECTRIC VEHICLE CHARGE TIME PREDICTION"
}