{
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  "coverImage": {
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  "description": "A computer-implemented method of predicting and providing an efficient driving route for an autonomous or semi-autonomous electric vehicle based upon battery health impact includes (i) generating one or more driving routes for the autonomous or semi-autonomous electric vehicle; (ii) predicting a…",
  "path": "/patents/1423003",
  "publishedAt": "2026-06-18T00:00:00.000Z",
  "site": "at://did:plc:oql6ds5vnff4ugar6rruliwd/site.standard.publication/3mn3ohu7oxx5w",
  "tags": [
    "B60L58/13",
    "STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY"
  ],
  "textContent": "A computer-implemented method of predicting and providing an efficient driving route for an autonomous or semi-autonomous electric vehicle based upon battery health impact includes (i) generating one or more driving routes for the autonomous or semi-autonomous electric vehicle; (ii) predicting a projected battery health impact on a battery of the autonomous or semi-autonomous electric vehicle for each driving route of the one or more driving routes, wherein the projected battery health impact is based at least upon a predicted time of day for travel; (iii) determining one or more recommendations for the autonomous or semi-autonomous electric vehicle for a driving route of the one or more driving routes, the one or more recommendations based upon at least the projected battery health impact for each driving route and a preferred form of operation; and (iv) causing the autonomous or semi-autonomous electric vehicle to automatically drive along the recommended route.",
  "title": "SYSTEMS AND METHODS FOR AUTONOMOUS VEHICLE BATTERY DELIVERY AND ELECTRIC VEHICLE ROUTING"
}