Home ›
Entities
› academia
› Dynamic adaptive square-root unscented Kalman filter and rectangular window recursive least square method for the accurate state of charge estimation of lithium-ion batteries
Dynamic adaptive square-root unscented Kalman filter and rectangular window recursive least square method for the accurate state of charge estimation of lithium-ion batteries
Research article (Journal of Energy Storage, 2023) · cited 33× · AI/ML
Dynamic adaptive square-root unscented Kalman filter and rectangular window recursive least square method for the accurate state of charge estimation of lithium-ion batteries
Summary
Dynamic adaptive square-root unscented Kalman filter and rectangular window recursive least square method for the accurate state of charge estimation of lithium-ion batteries is a scholarly article[1].
Key Facts
Dynamic adaptive square-root unscented Kalman filter and rectangular window recursive least square method for the accurate state of charge estimation of lithium-ion batteries's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
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.
APA4ort.xyz Knowledge Graph. (2026). Dynamic adaptive square-root unscented Kalman filter and rectangular window recursive least square method for the accurate state of charge estimation of lithium-ion batteries. Retrieved May 24, 2026, from https://4ort.xyz/entity/dynamic-adaptive-square-root-unscented-kalman-filter-and-rectangular-window-recursive-least-square-method-for-the-accura
MLA“Dynamic adaptive square-root unscented Kalman filter and rectangular window recursive least square method for the accurate state of charge estimation of lithium-ion batteries.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/dynamic-adaptive-square-root-unscented-kalman-filter-and-rectangular-window-recursive-least-square-method-for-the-accura.
BibTeX@misc{4ortxyz_dynamic-adaptive-square-root-unscented-kalman-filter-and-rectangular-window-recursive-least-square-method-for-the-accura_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Dynamic adaptive square-root unscented Kalman filter and rectangular window recursive least square method for the accurate state of charge estimation of lithium-ion batteries}}, year = {2026}, url = {https://4ort.xyz/entity/dynamic-adaptive-square-root-unscented-kalman-filter-and-rectangular-window-recursive-least-square-method-for-the-accura}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Dynamic adaptive square-root unscented Kalman filter and rectangular window recursive least square method for the accurate state of charge estimation of lithium-ion batteries — https://4ort.xyz/entity/dynamic-adaptive-square-root-unscented-kalman-filter-and-rectangular-window-recursive-least-square-method-for-the-accura (retrieved 2026-05-24)