{
  "$type": "site.standard.document",
  "description": "Systems and methods for including overstay and human behavior in the pricing structure of a plug-in electric vehicle (PEV) charging station, in order to maximize operating revenue, and manage overstay duration. A mathematical framework with discrete choice models (DCM) is incorporated to operate a…",
  "path": "/patents/1319423",
  "publishedAt": "2022-06-09T00:00:00.000Z",
  "site": "at://did:plc:oql6ds5vnff4ugar6rruliwd/site.standard.publication/3mn3ohu7oxx5w",
  "tags": [
    "B60L53/64",
    "TOTAL SE"
  ],
  "textContent": "Systems and methods for including overstay and human behavior in the pricing structure of a plug-in electric vehicle (PEV) charging station, in order to maximize operating revenue, and manage overstay duration. A mathematical framework with discrete choice models (DCM) is incorporated to operate a PEV charging station with an optimal pricing policy and charge control. The framework determines the probability of a PEV driver selecting various charging options, including overstay price. The pricing options are charging-flexibility, which allows a controller to manage charging costs over a parking duration, charging-asap, which charges the electric vehicle immediately and continuously until the vehicle departs, the battery is fully charged, or a desired level of charge has been reached, and leaving, which is an opportunity cost to the charging station.",
  "title": "METHODS AND SYSTEMS FOR OPTIMAL PRICING AND CHARGING CONTROL OF A PLUG-IN ELECTRIC VEHICLE CHARGING STATION"
}