{
  "$type": "site.standard.document",
  "description": "An approach to control or monitoring of battery operation makes use of a recurrent neural network (RNN), which receives one or more battery attributes for a Lithium ion (Li-ion) battery, and determines, based on the received one or more battery attributes, a state-of-charge (SOC) estimate for the…",
  "path": "/patents/1381384",
  "publishedAt": "2026-04-23T00:00:00.000Z",
  "site": "at://did:plc:oql6ds5vnff4ugar6rruliwd/site.standard.publication/3mn3ohu7oxx5w",
  "tags": [
    "G01R31/382",
    "The Trustees of Columbia University in the City of New York"
  ],
  "textContent": "An approach to control or monitoring of battery operation makes use of a recurrent neural network (RNN), which receives one or more battery attributes for a Lithium ion (Li-ion) battery, and determines, based on the received one or more battery attributes, a state-of-charge (SOC) estimate for the Li-ion battery.",
  "title": "NEURAL NETWORK STATE-OF-CHARGE ESTIMATION"
}