An Electrical–Thermal Coupling Model with Artificial Intelligence for State of Charge and Residual Available Energy Co-Estimation of LiFePO4 Battery System under Various Temperatures

Research article (Batteries, 2022) · cited 18× · AI/ML
Press Enter · cited answer in seconds

An Electrical–Thermal Coupling Model with Artificial Intelligence for State of Charge and Residual Available Energy Co-Estimation of LiFePO4 Battery System under Various Temperatures

Summary

An Electrical–Thermal Coupling Model with Artificial Intelligence for State of Charge and Residual Available Energy Co-Estimation of LiFePO4 Battery System under Various Temperatures is a scholarly article[1].

Key Facts

  • An Electrical–Thermal Coupling Model with Artificial Intelligence for State of Charge and Residual Available Energy Co-Estimation of LiFePO4 Battery System under Various Temperatures'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). An Electrical–Thermal Coupling Model with Artificial Intelligence for State of Charge and Residual Available Energy Co-Estimation of LiFePO4 Battery System under Various Temperatures. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-electricalthermal-coupling-model-with-artificial-intelligence-for-state-of-charge-and-residual-available-energy-co-es
MLA “An Electrical–Thermal Coupling Model with Artificial Intelligence for State of Charge and Residual Available Energy Co-Estimation of LiFePO4 Battery System under Various Temperatures.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-electricalthermal-coupling-model-with-artificial-intelligence-for-state-of-charge-and-residual-available-energy-co-es.
BibTeX @misc{4ortxyz_an-electricalthermal-coupling-model-with-artificial-intelligence-for-state-of-charge-and-residual-available-energy-co-es_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An Electrical–Thermal Coupling Model with Artificial Intelligence for State of Charge and Residual Available Energy Co-Estimation of LiFePO4 Battery System under Various Temperatures}}, year = {2026}, url = {https://4ort.xyz/entity/an-electricalthermal-coupling-model-with-artificial-intelligence-for-state-of-charge-and-residual-available-energy-co-es}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): An Electrical–Thermal Coupling Model with Artificial Intelligence for State of Charge and Residual Available Energy Co-Estimation of LiFePO4 Battery System under Various Temperatures — https://4ort.xyz/entity/an-electricalthermal-coupling-model-with-artificial-intelligence-for-state-of-charge-and-residual-available-energy-co-es (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/an-electricalthermal-coupling-model-with-artificial-intelligence-for-state-of-charge-and-residual-available-energy-co-es · Last refreshed: