{
  "$type": "site.standard.document",
  "description": "In one aspect, computer-implemented method may include receiving, from one or more sensors associated with a battery pack, one or more measurements pertaining to voltage, temperature, or both. The method may include determining, based on the one or more measurements, a voltage score and a…",
  "path": "/patents/1372572",
  "publishedAt": "2025-01-09T00:00:00.000Z",
  "site": "at://did:plc:oql6ds5vnff4ugar6rruliwd/site.standard.publication/3mn3ohu7oxx5w",
  "tags": [
    "H01M6/5033",
    "EATRON TECHNOLOGIES LIMITED"
  ],
  "textContent": "In one aspect, computer-implemented method may include receiving, from one or more sensors associated with a battery pack, one or more measurements pertaining to voltage, temperature, or both. The method may include determining, based on the one or more measurements, a voltage score and a temperature score, and predicting, based on the voltage score and the temperature score, whether the battery pack is experiencing a fault condition. The prediction is performed by an artificial intelligence engine. Responsive to predicting the battery pack is experiencing the fault condition, the method may include performing one or more preventative actions.",
  "title": "SYSTEMS AND METHODS FOR MACHINE LEARNING ENABLED FAULT DETECTION IN RECHARGEABLE BATTERIES"
}