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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.

