Improved anti-noise adaptive long short-term memory neural network modeling for the robust remaining useful life prediction of lithium-ion batteries

Citations

Cited by:

1. Tao, Junjie & Wang, Shunli & Cao, Wen & Cui, Yixiu & Fernandez, Carlos & Guerrero, Josep M., 2024. "Innovative multiscale fusion – Antinoise extended long short-term memory neural network modeling for high precision state of health estimation of lithium-ion batteries," Energy, Elsevier, vol. 312(C).
2. Algafri, Mohammed & Alghazi, Anas & Almoghathawi, Yasser & Saleh, Haitham & Al-Shareef, Khaled, 2024. "Smart City Charging Station allocation for electric vehicles using analytic hierarchy process and multiobjective goal-programming," Applied Energy, Elsevier, vol. 372(C).
3. Wang, Qiao & Ye, Min & Li, Bin & Lian, Gaoqi & Li, Yan, 2024. "Co-estimation of state of charge and capacity for battery packs in real electric vehicles with few representative cells and physics-informed machine learning," Energy, Elsevier, vol. 306(C).
4. Song, Dengwei & Cheng, Yujie & Zhou, An & Lu, Chen & Chong, Jin & Ma, Jian, 2024. "Remaining useful life prediction and cycle life test optimization for multiple-formula battery: A method based on multi-source transfer learning," Reliability Engineering and System Safety, Elsevier, vol. 249(C).
5. Wei, Meng & Ye, Min & Zhang, Chuanwei & Li, Yan & Zhang, Jiale & Wang, Qiao, 2023. "A multi-scale learning approach for remaining useful life prediction of lithium-ion batteries based on variational mode decomposition and Monte Carlo sampling," Energy, Elsevier, vol. 283(C).
6. Zhao, Hongqian & Chen, Zheng & Shu, Xing & Xiao, Renxin & Shen, Jiangwei & Liu, Yu & Liu, Yonggang, 2024. "Online surface temperature prediction and abnormal diagnosis of lithium-ion batteries based on hybrid neural network and fault threshold optimization," Reliability Engineering and System Safety, Elsevier, vol. 243(C).
7. Koláček, Jan & Vališ, David & Fuksová, Mária & Hlinka, Jiří & Procházka, Petr, 2025. "Perspective modelling and measuring discharge voltage on truncated data of long-term stored Li-ion batteries based on functional state space model," Applied Energy, Elsevier, vol. 377(PB).
8. He, Qijiao & Li, Zheng & Zhao, Dongqi & Yu, Jie & Tan, Peng & Guo, Meiting & Liao, Tianjun & Zhao, Tianshou & Ni, Meng, 2023. "A 3D modelling study on all vanadium redox flow battery at various operating temperatures," Energy, Elsevier, vol. 282(C).
9. Ruan, Guanqiang & Liu, Zixi & Cheng, Jinrun & Hu, Xing & Chen, Song & Liu, Shiwen & Guo, Yong & Yang, Kuo, 2024. "A deep learning model for predicting the state of energy in lithium-ion batteries based on magnetic field effects," Energy, Elsevier, vol. 304(C).
10. Li, Yuanmao & Liu, Guixiong & Deng, Wei & Li, Zuyu, 2024. "Comparative study on parameter identification of an electrochemical model for lithium-ion batteries via meta-heuristic methods," Applied Energy, Elsevier, vol. 367(C).
11. Liu, Zhi-Feng & Huang, Ya-He & Zhang, Shu-Rui & Luo, Xing-Fu & Chen, Xiao-Rui & Lin, Jun-Jie & Tang, Yu & Guo, Liang & Li, Ji-Xiang, 2025. "A collaborative interaction gate-based deep learning model with optimal bandwidth adjustment strategies for lithium-ion battery capacity point-interval forecasting," Applied Energy, Elsevier, vol. 377(PD).
12. Zhao, Wanjie & Ding, Wei & Zhang, Shujing & Zhang, Zhen, 2024. "Enhancing lithium-ion battery lifespan early prediction using a multi-branch vision transformer model," Energy, Elsevier, vol. 302(C).
13. Cao, Ganglin & Jia, Yao & Zhang, Shuzhi & Chen, Shouxuan & Geng, Yuanfei & Feng, Rong & Wang, Ning & Han, Yaoxiang & Lu, Haibin & Zhang, Xiongwen, 2024. "Target decomposition-led light-weighted offline training strategy-aided data-driven state-of-charge online estimation during constant current charging conditions over battery entire lifespan," Energy, Elsevier, vol. 307(C).
14. Tian, Aina & Dong, Kailang & Yang, Xiao-Guang & Wang, Yuqin & He, Luyao & Gao, Yang & Jiang, Jiuchun, 2025. "Physics-based parameter identification of an electrochemical model for lithium-ion batteries with two-population optimization method," Applied Energy, Elsevier, vol. 378(PA).
15. Wang, Shunli & Wu, Fan & Takyi-Aninakwa, Paul & Fernandez, Carlos & Stroe, Daniel-Ioan & Huang, Qi, 2023. "Improved singular filtering-Gaussian process regression-long short-term memory model for whole-life-cycle remaining capacity estimation of lithium-ion batteries adaptive to fast aging and multi-curren," Energy, Elsevier, vol. 284(C).
16. Fu, En & Hu, Yanyan & Peng, Kaixiang & Chu, Yuxin, 2024. "Supervised contrastive learning based dual-mixer model for Remaining Useful Life prediction," Reliability Engineering and System Safety, Elsevier, vol. 251(C).
17. Guo, Yongfang & Yu, Xiangyuan & Wang, Yashuang & Huang, Kai, 2024. "Health prognostics of lithium-ion batteries based on universal voltage range features mining and adaptive multi-Gaussian process regression with Harris Hawks optimization algorithm," Reliability Engineering and System Safety, Elsevier, vol. 244(C).
18. Zhang, Jianping & Zhang, Yinjie & Fu, Jian & Zhao, Dawen & Liu, Ping & Zhang, Zhiwei, 2024. "Capacity fading knee-point recognition method and life prediction for lithium-ion batteries using segmented capacity degradation model," Reliability Engineering and System Safety, Elsevier, vol. 251(C).
19. Hong, Jichao & Zhang, Huaqin & Zhang, Xinyang & Yang, Haixu & Chen, Yingjie & Wang, Facheng & Huang, Zhongguo & Wang, Wei, 2024. "Online accurate voltage prediction with sparse data for the whole life cycle of Lithium-ion batteries in electric vehicles," Applied Energy, Elsevier, vol. 369(C).
20. Wang, Chen & Zhang, Liming & Chen, Ling & Tan, Tian & Zhang, Cong, 2025. "Remaining useful life prediction of nuclear reactor control rod drive mechanism based on dynamic temporal convolutional network," Reliability Engineering and System Safety, Elsevier, vol. 253(C).
21. Xiong, Rui & Li, Zhengyang & Li, Hailong & Wang, Jun & Liu, Guofang, 2025. "A novel method for state of charge estimation of lithium-ion batteries at low-temperatures," Applied Energy, Elsevier, vol. 377(PB).
22. Lubecki, Adrian & Szczurowski, Jakub & Zarębska, Katarzyna, 2025. "The importance of uncertainty sources in LCA for the reliability of environmental comparisons: A case study on public bus fleet electrification," Applied Energy, Elsevier, vol. 377(PB).
23. He, Lin & Hu, Xingwen & Yin, Guangwei & Wang, Guoqiang & Shao, Xingguo & Liu, Jichao, 2024. "A current dynamics model and proportional–integral observer for state-of-charge estimation of lithium-ion battery," Energy, Elsevier, vol. 288(C).
24. Wei, Meng & Ye, Min & Zhang, Chuanwei & Wang, Qiao & Lian, Gaoqi & Xia, Baozhou, 2024. "Integrating mechanism and machine learning based capacity estimation for LiFePO4 batteries under slight overcharge cycling," Energy, Elsevier, vol. 296(C).
25. Kim, Jaewon & Sin, Seunghwa & Kim, Jonghoon, 2024. "Early remaining-useful-life prediction applying discrete wavelet transform combined with improved semi-empirical model for high-fidelity in battery energy storage system," Energy, Elsevier, vol. 297(C).
26. Lyu, Guangzheng & Zhang, Heng & Miao, Qiang, 2023. "Parallel State Fusion LSTM-based Early-cycle Stage Lithium-ion Battery RUL Prediction Under Lebesgue Sampling Framework," Reliability Engineering and System Safety, Elsevier, vol. 236(C).
27. Li, Chuan & Zhang, Huahua & Ding, Ping & Yang, Shuai & Bai, Yun, 2023. "Deep feature extraction in lifetime prognostics of lithium-ion batteries: Advances, challenges and perspectives," Renewable and Sustainable Energy Reviews, Elsevier, vol. 184(C).
28. Li, Siyi & Robert, Arnaud & Faisal, A. Aldo & Piggott, Matthew D., 2024. "Learning to optimise wind farms with graph transformers," Applied Energy, Elsevier, vol. 359(C).
29. Lopez-Salazar, Camilo & Ekwaro-Osire, Stephen & Dabetwar, Shweta & Alemayehu, Fisseha, 2025. "A comprehensive framework for estimating the remaining useful life of Li-ion batteries under limited data conditions with no temporal identifier," Reliability Engineering and System Safety, Elsevier, vol. 253(C).
30. Hatherall, Ollie & Barai, Anup & Niri, Mona Faraji & Wang, Zeyuan & Marco, James, 2024. "Novel battery power capability assessment for improved eVTOL aircraft landing," Applied Energy, Elsevier, vol. 361(C).
31. Singh, S. & Budarapu, P.R., 2024. "Deep machine learning approaches for battery health monitoring," Energy, Elsevier, vol. 300(C).
32. Sarmas, Elissaios & Spiliotis, Evangelos & Stamatopoulos, Efstathios & Marinakis, Vangelis & Doukas, Haris, 2023. "Short-term photovoltaic power forecasting using meta-learning and numerical weather prediction independent Long Short-Term Memory models," Renewable Energy, Elsevier, vol. 216(C).
33. Barman, Pranjal & Dutta, Lachit, 2024. "Charging infrastructure planning for transportation electrification in India: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 192(C).
34. D'Agostino, Diana & De Falco, Francesco & Minelli, Federico & Minichiello, Francesco, 2024. "New robust multi-criteria decision-making framework for thermal insulation of buildings under conflicting stakeholder interests," Applied Energy, Elsevier, vol. 376(PA).