Multi-model deep learning-based state of charge estimation for shipboard lithium batteries with feature extraction and Spatio-temporal dependency

Research article (Journal of Power Sources, 2024) · cited 15× · AI/ML
Press Enter · cited answer in seconds

Multi-model deep learning-based state of charge estimation for shipboard lithium batteries with feature extraction and Spatio-temporal dependency

Summary

Multi-model deep learning-based state of charge estimation for shipboard lithium batteries with feature extraction and Spatio-temporal dependency is a scholarly article[1].

Key Facts

  • Multi-model deep learning-based state of charge estimation for shipboard lithium batteries with feature extraction and Spatio-temporal dependency'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). Multi-model deep learning-based state of charge estimation for shipboard lithium batteries with feature extraction and Spatio-temporal dependency. Retrieved May 24, 2026, from https://4ort.xyz/entity/multi-model-deep-learning-based-state-of-charge-estimation-for-shipboard-lithium-batteries-with-feature-extraction-and-s
MLA “Multi-model deep learning-based state of charge estimation for shipboard lithium batteries with feature extraction and Spatio-temporal dependency.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/multi-model-deep-learning-based-state-of-charge-estimation-for-shipboard-lithium-batteries-with-feature-extraction-and-s.
BibTeX @misc{4ortxyz_multi-model-deep-learning-based-state-of-charge-estimation-for-shipboard-lithium-batteries-with-feature-extraction-and-s_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Multi-model deep learning-based state of charge estimation for shipboard lithium batteries with feature extraction and Spatio-temporal dependency}}, year = {2026}, url = {https://4ort.xyz/entity/multi-model-deep-learning-based-state-of-charge-estimation-for-shipboard-lithium-batteries-with-feature-extraction-and-s}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Multi-model deep learning-based state of charge estimation for shipboard lithium batteries with feature extraction and Spatio-temporal dependency — https://4ort.xyz/entity/multi-model-deep-learning-based-state-of-charge-estimation-for-shipboard-lithium-batteries-with-feature-extraction-and-s (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/multi-model-deep-learning-based-state-of-charge-estimation-for-shipboard-lithium-batteries-with-feature-extraction-and-s · Last refreshed: