A novel bias compensation recursive least square‐multiple weighted dual extended Kalman filtering method for accurate state‐of‐charge and state‐of‐health co‐estimation of lithium‐ion batteries

Research article (International Journal of Circuit Theory and Applications, 2021) · cited 31× · AI/ML
Press Enter · cited answer in seconds

A novel bias compensation recursive least square‐multiple weighted dual extended Kalman filtering method for accurate state‐of‐charge and state‐of‐health co‐estimation of lithium‐ion batteries

Summary

A novel bias compensation recursive least square‐multiple weighted dual extended Kalman filtering method for accurate state‐of‐charge and state‐of‐health co‐estimation of lithium‐ion batteries is a scholarly article[1].

Key Facts

  • A novel bias compensation recursive least square‐multiple weighted dual extended Kalman filtering method for accurate state‐of‐charge and state‐of‐health co‐estimation of lithium‐ion batteries's instance of is recorded as scholarly article[2].

📑 Cite this page

Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). A novel bias compensation recursive least square‐multiple weighted dual extended Kalman filtering method for accurate state‐of‐charge and state‐of‐health co‐estimation of lithium‐ion batteries. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-novel-bias-compensation-recursive-least-squaremultiple-weighted-dual-extended-kalman-filtering-method-for-accurate-sta
MLA “A novel bias compensation recursive least square‐multiple weighted dual extended Kalman filtering method for accurate state‐of‐charge and state‐of‐health co‐estimation of lithium‐ion batteries.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-novel-bias-compensation-recursive-least-squaremultiple-weighted-dual-extended-kalman-filtering-method-for-accurate-sta.
BibTeX @misc{4ortxyz_a-novel-bias-compensation-recursive-least-squaremultiple-weighted-dual-extended-kalman-filtering-method-for-accurate-sta_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A novel bias compensation recursive least square‐multiple weighted dual extended Kalman filtering method for accurate state‐of‐charge and state‐of‐health co‐estimation of lithium‐ion batteries}}, year = {2026}, url = {https://4ort.xyz/entity/a-novel-bias-compensation-recursive-least-squaremultiple-weighted-dual-extended-kalman-filtering-method-for-accurate-sta}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A novel bias compensation recursive least square‐multiple weighted dual extended Kalman filtering method for accurate state‐of‐charge and state‐of‐health co‐estimation of lithium‐ion batteries — https://4ort.xyz/entity/a-novel-bias-compensation-recursive-least-squaremultiple-weighted-dual-extended-kalman-filtering-method-for-accurate-sta (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/a-novel-bias-compensation-recursive-least-squaremultiple-weighted-dual-extended-kalman-filtering-method-for-accurate-sta · Last refreshed: