{
  "$type": "site.standard.document",
  "description": "This disclosure relates to systems, methods, and techniques for estimating battery parameters using a battery analysis system. In certain embodiments, the system receives current data for a battery cell, preprocesses the data to reduce frequency and amplitude, and executes a shallow estimation…",
  "path": "/patents/1382208",
  "publishedAt": "2026-05-07T00:00:00.000Z",
  "site": "at://did:plc:oql6ds5vnff4ugar6rruliwd/site.standard.publication/3mn3ohu7oxx5w",
  "tags": [
    "G01R31/367",
    "LG ENERGY SOLUTION, LTD."
  ],
  "textContent": "This disclosure relates to systems, methods, and techniques for estimating battery parameters using a battery analysis system. In certain embodiments, the system receives current data for a battery cell, preprocesses the data to reduce frequency and amplitude, and executes a shallow estimation function using a reduced-order electrochemical model to estimate battery parameters based on the preprocessed data. In some embodiments, a deep estimation function, which utilizes a full-order electrochemical model, may be utilized to further refine the battery parameter estimates if higher accuracy is desired. Other embodiments are disclosed herein as well.",
  "title": "BATTERY PARAMETER ESTIMATION USING REDUCED-ORDER AND/OR FULL-ORDER ELECTROCHEMICAL MODELS"
}