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Joint estimation of State of Charge (SOC) and State of Health (SOH) for lithium ion batteries using Support Vector Machine (SVM), Convolutional Neural Network (CNN) and Long Sort Term Memory Network (LSTM) models
Research article (International Journal of Electrochemical Science, 2024) · cited 71× · AI/ML
Joint estimation of State of Charge (SOC) and State of Health (SOH) for lithium ion batteries using Support Vector Machine (SVM), Convolutional Neural Network (CNN) and Long Sort Term Memory Network (LSTM) models
Summary
Joint estimation of State of Charge (SOC) and State of Health (SOH) for lithium ion batteries using Support Vector Machine (SVM), Convolutional Neural Network (CNN) and Long Sort Term Memory Network (LSTM) models is a scholarly article[1].
Key Facts
Joint estimation of State of Charge (SOC) and State of Health (SOH) for lithium ion batteries using Support Vector Machine (SVM), Convolutional Neural Network (CNN) and Long Sort Term Memory Network (LSTM) models's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Joint estimation of State of Charge (SOC) and State of Health (SOH) for lithium ion batteries using Support Vector Machine (SVM), Convolutional Neural Network (CNN) and Long Sort Term Memory Network (LSTM) models. Retrieved May 24, 2026, from https://4ort.xyz/entity/joint-estimation-of-state-of-charge-soc-and-state-of-health-soh-for-lithium-ion-batteries-using-support-vector-machine-s
MLA“Joint estimation of State of Charge (SOC) and State of Health (SOH) for lithium ion batteries using Support Vector Machine (SVM), Convolutional Neural Network (CNN) and Long Sort Term Memory Network (LSTM) models.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/joint-estimation-of-state-of-charge-soc-and-state-of-health-soh-for-lithium-ion-batteries-using-support-vector-machine-s.
BibTeX@misc{4ortxyz_joint-estimation-of-state-of-charge-soc-and-state-of-health-soh-for-lithium-ion-batteries-using-support-vector-machine-s_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Joint estimation of State of Charge (SOC) and State of Health (SOH) for lithium ion batteries using Support Vector Machine (SVM), Convolutional Neural Network (CNN) and Long Sort Term Memory Network (LSTM) models}}, year = {2026}, url = {https://4ort.xyz/entity/joint-estimation-of-state-of-charge-soc-and-state-of-health-soh-for-lithium-ion-batteries-using-support-vector-machine-s}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Joint estimation of State of Charge (SOC) and State of Health (SOH) for lithium ion batteries using Support Vector Machine (SVM), Convolutional Neural Network (CNN) and Long Sort Term Memory Network (LSTM) models — https://4ort.xyz/entity/joint-estimation-of-state-of-charge-soc-and-state-of-health-soh-for-lithium-ion-batteries-using-support-vector-machine-s (retrieved 2026-05-24)