{
  "$type": "site.standard.document",
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  "description": "Disclosed is an analytic sensitivity expression for parameters of a battery electrochemical model, based on model reduction and reformulation techniques such as the single particle assumption, Pade approximation, and Laplace transform. The analytic expressions of sensitivity are in a compact form…",
  "path": "/patents/1400685",
  "publishedAt": "2024-10-02T00:00:00.000Z",
  "site": "at://did:plc:oql6ds5vnff4ugar6rruliwd/site.standard.publication/3mn3ohu7oxx5w",
  "tags": [
    "G01R31/3648",
    "THE REGENTS OF THE UNIV OF CALIFORNIA A CALIFORNIA CORPORATION [US]"
  ],
  "textContent": "Disclosed is an analytic sensitivity expression for parameters of a battery electrochemical model, based on model reduction and reformulation techniques such as the single particle assumption, Pade approximation, and Laplace transform. The analytic expressions of sensitivity are in a compact form with explicit relationship to the current input, which enables the direct optimization of the input-dependent sensitivity. The current optimization with maximum sensitivity may be performed for several critical battery electrochemical parameters, namely a solid-phase lithium diffusion coefficient, a volume fraction of the electrode active material, and a reaction rate constant. The electrochemical parameter may be reliably identified using the optimal current profile.",
  "title": "SYSTEM AND METHOD FOR OPTIMIZATION OF CURRENT EXCITATION FOR IDENTIFICATION OF BATTERY ELECTROCHEMICAL PARAMETERS BASED ON ANALYTIC SENSITIVITY EXPRESSION"
}