Home ›
Entities
› academia
› Deep learning approach towards accurate state of charge estimation for lithium-ion batteries using self-supervised transformer model
Deep learning approach towards accurate state of charge estimation for lithium-ion batteries using self-supervised transformer model
Research article (Scientific Reports, 2021) · cited 171× · AI/ML
Deep learning approach towards accurate state of charge estimation for lithium-ion batteries using self-supervised transformer model
Summary
Deep learning approach towards accurate state of charge estimation for lithium-ion batteries using self-supervised transformer model is a scholarly article[1].
Key Facts
Deep learning approach towards accurate state of charge estimation for lithium-ion batteries using self-supervised transformer 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). Deep learning approach towards accurate state of charge estimation for lithium-ion batteries using self-supervised transformer model. Retrieved May 24, 2026, from https://4ort.xyz/entity/deep-learning-approach-towards-accurate-state-of-charge-estimation-for-lithium-ion-batteries-using-self-supervised-trans
MLA“Deep learning approach towards accurate state of charge estimation for lithium-ion batteries using self-supervised transformer model.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/deep-learning-approach-towards-accurate-state-of-charge-estimation-for-lithium-ion-batteries-using-self-supervised-trans.
BibTeX@misc{4ortxyz_deep-learning-approach-towards-accurate-state-of-charge-estimation-for-lithium-ion-batteries-using-self-supervised-trans_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Deep learning approach towards accurate state of charge estimation for lithium-ion batteries using self-supervised transformer model}}, year = {2026}, url = {https://4ort.xyz/entity/deep-learning-approach-towards-accurate-state-of-charge-estimation-for-lithium-ion-batteries-using-self-supervised-trans}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Deep learning approach towards accurate state of charge estimation for lithium-ion batteries using self-supervised transformer model — https://4ort.xyz/entity/deep-learning-approach-towards-accurate-state-of-charge-estimation-for-lithium-ion-batteries-using-self-supervised-trans (retrieved 2026-05-24)