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An adaptive Autoregressive model by particle filtering algorithm for prognostics of lithium-ion batteries

An Elsevier BV journal article published 2026-11-01 describes an adaptive autoregressive model using particle filtering for prognostics of lithium-ion batteries. The supplied record contains no additional details about methods, results, or impacts.

Categories: science-and-space, technology, energy-and-resources

Generated scores

Scores are based on the cited reporting and use a 1–10 scale. Read the methodology.

Confidence
5/10
Geographic reach
1/10
Global importance
3/10
Impact magnitude
3/10
Positivity
7/10
Urgency
2/10

Why it matters

The paper presents a modelling approach relevant to lithium-ion battery prognostics.

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