Pith Number

pith:DOQIFMFB

pith:2026:DOQIFMFBDUU6ARX4LO2Z45ONSW

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Lie Generator Networks Extract EIS-Grade Battery Diagnostics from Pulse Relaxation Data

Rehan Kapadia, Shafayeth Jamil

Lie Generator Networks recover the same electrochemical time constants from 60-second pulse relaxation as from full EIS spectra.

arxiv:2605.15351 v1 · 2026-05-14 · eess.SY · cs.SY

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Claims

C1strongest claim

LGN tracks degradation with near-perfect rank correlation (|ρ_s| = 0.999), enables cross-validated reconstruction of full Nyquist spectra at 2% median error across 227 cells, predicts which capacity-matched cells fail first from three early diagnostics, and recovers Arrhenius activation energies with zero physics priors.

C2weakest assumption

The post-pulse voltage relaxation can be accurately represented as the output of a linear time-invariant system whose generator matrix directly encodes the same electrochemical time constants that appear in frequency-domain EIS measurements.

C3one line summary

Lie Generator Networks learn the generator matrix of post-pulse relaxation dynamics to recover EIS-grade time constants and Nyquist spectra from 60-second data across multiple battery datasets and chemistries.

References

18 extracted · 18 resolved · 0 Pith anchors

[1] Global EV Outlook 2025, 2025

[2] End-of-life or second-life options for retired electric vehicle batteries, 2021 · doi:10.1016/j.xcrp.2021.100537

[3] Driving the future: A comprehensive review of automotive battery management system technologies, and future trends, 2025 · doi:10.1016/j.jpowsour.2024.235827

[4] E. Barsoukov and J. R. Macdonald, Eds., Impedance Spectroscopy. Wiley, 2005. doi: 10.1002/0471716243 2005 · doi:10.1002/0471716243

[5] Analysis of Electrochemical Impedance Spectroscopy Data Using the Distribution of Relaxation Times: A Bayesian and Hierarchical Bayesian Approach, 2015 · doi:10.1016/j.electacta.2015.03.123

Receipt and verification

First computed	2026-05-20T00:00:53.879226Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

1ba082b0a11d29e046fc5bb59e75cd959125346e1f31e499da772a8b471865ed

Aliases

arxiv: 2605.15351 · arxiv_version: 2605.15351v1 · doi: 10.48550/arxiv.2605.15351 · pith_short_12: DOQIFMFBDUU6 · pith_short_16: DOQIFMFBDUU6ARX4 · pith_short_8: DOQIFMFB

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Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/DOQIFMFBDUU6ARX4LO2Z45ONSW \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 1ba082b0a11d29e046fc5bb59e75cd959125346e1f31e499da772a8b471865ed

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "0a6314c4e7153dfc60fc6a0fdd5ab7e9ca9621cef950da615181995fa3aa0192",
    "cross_cats_sorted": [
      "cs.SY"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "eess.SY",
    "submitted_at": "2026-05-14T19:22:48Z",
    "title_canon_sha256": "2a2c1e1467d0bef1fcbd36da5d71d1c98e38982d75b2e35f37c979a1e0aa3a30"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2605.15351",
    "kind": "arxiv",
    "version": 1
  }
}