Home ›
Entities
› academia
› A totally coupled multi time-scale framework containing full parameters online identification and SOC real-time estimation of lithium-ion battery based on a fractional order model
A totally coupled multi time-scale framework containing full parameters online identification and SOC real-time estimation of lithium-ion battery based on a fractional order model
Research article (Journal of Energy Storage, 2023) · cited 28× · AI/ML
A totally coupled multi time-scale framework containing full parameters online identification and SOC real-time estimation of lithium-ion battery based on a fractional order model
Summary
A totally coupled multi time-scale framework containing full parameters online identification and SOC real-time estimation of lithium-ion battery based on a fractional order model is a scholarly article[1].
Key Facts
A totally coupled multi time-scale framework containing full parameters online identification and SOC real-time estimation of lithium-ion battery based on a fractional order model'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). A totally coupled multi time-scale framework containing full parameters online identification and SOC real-time estimation of lithium-ion battery based on a fractional order model. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-totally-coupled-multi-time-scale-framework-containing-full-parameters-online-identification-and-soc-real-time-estimati
MLA“A totally coupled multi time-scale framework containing full parameters online identification and SOC real-time estimation of lithium-ion battery based on a fractional order model.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-totally-coupled-multi-time-scale-framework-containing-full-parameters-online-identification-and-soc-real-time-estimati.
BibTeX@misc{4ortxyz_a-totally-coupled-multi-time-scale-framework-containing-full-parameters-online-identification-and-soc-real-time-estimati_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A totally coupled multi time-scale framework containing full parameters online identification and SOC real-time estimation of lithium-ion battery based on a fractional order model}}, year = {2026}, url = {https://4ort.xyz/entity/a-totally-coupled-multi-time-scale-framework-containing-full-parameters-online-identification-and-soc-real-time-estimati}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A totally coupled multi time-scale framework containing full parameters online identification and SOC real-time estimation of lithium-ion battery based on a fractional order model — https://4ort.xyz/entity/a-totally-coupled-multi-time-scale-framework-containing-full-parameters-online-identification-and-soc-real-time-estimati (retrieved 2026-05-24)
