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
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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

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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 is a scholarly article[1].

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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's instance of is recorded as scholarly article[2].

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APA 4ort.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 prompt According 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)

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