{
  "$type": "site.standard.document",
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  "description": "A power consumption predictive analysis and improvement suggestion system for a battery electric vehicle, using a large language model (LLM), includes an estimation unit that uses LLM to estimate power consumption of a battery that will be consumed when traveling within a predetermined period into…",
  "path": "/patents/1434874",
  "publishedAt": "2026-07-02T00:00:00.000Z",
  "site": "at://did:plc:oql6ds5vnff4ugar6rruliwd/site.standard.publication/3mn3ohu7oxx5w",
  "tags": [
    "B60R16/0236",
    "TOYOTA JIDOSHA KABUSHIKI KAISHA"
  ],
  "textContent": "A power consumption predictive analysis and improvement suggestion system for a battery electric vehicle, using a large language model (LLM), includes an estimation unit that uses LLM to estimate power consumption of a battery that will be consumed when traveling within a predetermined period into the future or within a period until a next charge, based on various types of information including various types of information related to a driver and the battery electric vehicle, and past traveling history related to battery electric vehicles of a same model, and that also uses the LLM to estimate an improvement approach to bring the power consumption that is estimated closer to a minimum value, and a suggestion unit that suggests the improvement approach that is estimated.",
  "title": "POWER CONSUMPTION PREDICTIVE ANALYSIS AND IMPROVEMENT SUGGESTION SYSTEM FOR BATTERY ELECTRIC VEHICLE USING LARGE LANGUAGE MODEL"
}