Lithium Battery State-of-Charge Estimation Based on a Bayesian Optimization Bidirectional Long Short-Term Memory Neural Network
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Cited by:
- Xin Zhang & Jiawei Hou & Zekun Wang & Yueqiu Jiang, 2022. "Joint SOH-SOC Estimation Model for Lithium-Ion Batteries Based on GWO-BP Neural Network," Energies, MDPI, vol. 16(1), pages 1-17, December.
- Yu, Hanqing & Zhang, Lisheng & Wang, Wentao & Li, Shen & Chen, Siyan & Yang, Shichun & Li, Junfu & Liu, Xinhua, 2023. "State of charge estimation method by using a simplified electrochemical model in deep learning framework for lithium-ion batteries," Energy, Elsevier, vol. 278(C).
- Zhang, Kai & Bai, Dongxin & Li, Yong & Song, Ke & Zheng, Bailin & Yang, Fuqian, 2024. "Robust state-of-charge estimator for lithium-ion batteries enabled by a physics-driven dual-stage attention mechanism," Applied Energy, Elsevier, vol. 359(C).
- Xinghao Zhang & Yan Huang & Zhaowei Zhang & Huipin Lin & Yu Zeng & Mingyu Gao, 2022. "A Hybrid Method for State-of-Charge Estimation for Lithium-Ion Batteries Using a Long Short-Term Memory Network Combined with Attention and a Kalman Filter," Energies, MDPI, vol. 15(18), pages 1-26, September.
- Huang, Peifeng & Zeng, Ganghui & He, Yanyun & Liu, Shoutong & Li, Eric & Bai, Zhonghao, 2023. "Damage evolution mechanism and early warning using long short-term memory networks for battery slight overcharge cycles," Renewable Energy, Elsevier, vol. 217(C).
- Ran Li & Hui Sun & Xue Wei & Weiwen Ta & Haiying Wang, 2022. "Lithium Battery State-of-Charge Estimation Based on AdaBoost.Rt-RNN," Energies, MDPI, vol. 15(16), pages 1-15, August.
- Ouyang, Tiancheng & Pan, Mingming & Huang, Youbin & Tan, Xianlin & Qin, Peijia, 2023. "Thermodynamic design and power prediction of a solar power tower integrated system using neural networks," Energy, Elsevier, vol. 278(PA).
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Keywords
lithium battery; state of charge; Bayesian optimization algorithm; bidirectional long short-term memory neural network;All these keywords.
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