Home ›
Entities
› academia
› An optimized long short-term memory-weighted fading extended Kalman filtering model with wide temperature adaptation for the state of charge estimation of lithium-ion batteries
An optimized long short-term memory-weighted fading extended Kalman filtering model with wide temperature adaptation for the state of charge estimation of lithium-ion batteries
Research article (Applied Energy, 2022) · cited 70× · AI/ML
An optimized long short-term memory-weighted fading extended Kalman filtering model with wide temperature adaptation for the state of charge estimation of lithium-ion batteries
Summary
An optimized long short-term memory-weighted fading extended Kalman filtering model with wide temperature adaptation for the state of charge estimation of lithium-ion batteries is a scholarly article[1].
Key Facts
An optimized long short-term memory-weighted fading extended Kalman filtering model with wide temperature adaptation for the 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). An optimized long short-term memory-weighted fading extended Kalman filtering model with wide temperature adaptation for the state of charge estimation of lithium-ion batteries. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-optimized-long-short-term-memory-weighted-fading-extended-kalman-filtering-model-with-wide-temperature-adaptation-for
MLA“An optimized long short-term memory-weighted fading extended Kalman filtering model with wide temperature adaptation for the state of charge estimation of lithium-ion batteries.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-optimized-long-short-term-memory-weighted-fading-extended-kalman-filtering-model-with-wide-temperature-adaptation-for.
BibTeX@misc{4ortxyz_an-optimized-long-short-term-memory-weighted-fading-extended-kalman-filtering-model-with-wide-temperature-adaptation-for_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An optimized long short-term memory-weighted fading extended Kalman filtering model with wide temperature adaptation for the state of charge estimation of lithium-ion batteries}}, year = {2026}, url = {https://4ort.xyz/entity/an-optimized-long-short-term-memory-weighted-fading-extended-kalman-filtering-model-with-wide-temperature-adaptation-for}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): An optimized long short-term memory-weighted fading extended Kalman filtering model with wide temperature adaptation for the state of charge estimation of lithium-ion batteries — https://4ort.xyz/entity/an-optimized-long-short-term-memory-weighted-fading-extended-kalman-filtering-model-with-wide-temperature-adaptation-for (retrieved 2026-05-24)
