These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
154 related articles for article (PubMed ID: 32533023)
1. An Incremental Voltage Difference Based Technique for Online State of Health Estimation of Li-ion Batteries. Naha A; Han S; Agarwal S; Guha A; Khandelwal A; Tagade P; Hariharan KS; Kolake SM; Yoon J; Oh B Sci Rep; 2020 Jun; 10(1):9526. PubMed ID: 32533023 [TBL] [Abstract][Full Text] [Related]
2. Transfer learning based generalized framework for state of health estimation of Li-ion cells. Sahoo S; Hariharan KS; Agarwal S; Swernath SB; Bharti R; Han S; Lee S Sci Rep; 2022 Aug; 12(1):13173. PubMed ID: 35915128 [TBL] [Abstract][Full Text] [Related]
3. A Transfer Learning-Based Method for Personalized State of Health Estimation of Lithium-Ion Batteries. Ma G; Xu S; Yang T; Du Z; Zhu L; Ding H; Yuan Y IEEE Trans Neural Netw Learn Syst; 2022 Jun; PP():. PubMed ID: 35657842 [TBL] [Abstract][Full Text] [Related]
4. Estimation of Online State of Charge and State of Health Based on Neural Network Model Banks Using Lithium Batteries. Lee JH; Lee IS Sensors (Basel); 2022 Jul; 22(15):. PubMed ID: 35898040 [TBL] [Abstract][Full Text] [Related]
5. Modeling electrochemical properties of LiMn[Formula: see text]Co[Formula: see text]BO[Formula: see text] for cathode materials in lithium-ion rechargeable batteries. Nhapulo SL; de Almeida JS Sci Rep; 2021 Jun; 11(1):11858. PubMed ID: 34088918 [TBL] [Abstract][Full Text] [Related]
6. State of health estimation of LIB based on discharge section with multi-model combined. Xu P; Huang Y; Ran W; Wan S; Guo C; Su X; Yuan L; Dan Y Heliyon; 2024 Feb; 10(4):e25808. PubMed ID: 38384580 [TBL] [Abstract][Full Text] [Related]
7. State of Charge Estimation of Battery Based on Neural Networks and Adaptive Strategies with Correntropy. Navega Vieira R; Mauricio Villanueva JM; Sales Flores TK; Tavares de MacĂȘdo EC Sensors (Basel); 2022 Feb; 22(3):. PubMed ID: 35161925 [TBL] [Abstract][Full Text] [Related]
8. A Learning-Based Vehicle-Cloud Collaboration Approach for Joint Estimation of State-of-Energy and State-of-Health. Mei P; Karimi HR; Chen F; Yang S; Huang C; Qiu S Sensors (Basel); 2022 Dec; 22(23):. PubMed ID: 36502177 [TBL] [Abstract][Full Text] [Related]
9. Physics-informed neural network for lithium-ion battery degradation stable modeling and prognosis. Wang F; Zhai Z; Zhao Z; Di Y; Chen X Nat Commun; 2024 May; 15(1):4332. PubMed ID: 38773131 [TBL] [Abstract][Full Text] [Related]
10. A Dual-Input Neural Network for Online State-of-Charge Estimation of the Lithium-Ion Battery throughout Its Lifetime. Qian C; Xu B; Xia Q; Ren Y; Yang D; Wang Z Materials (Basel); 2022 Aug; 15(17):. PubMed ID: 36079313 [TBL] [Abstract][Full Text] [Related]
11. State of Health Estimation Based on the Long Short-Term Memory Network Using Incremental Capacity and Transfer Learning. Yao L; Wen J; Xu S; Zheng J; Hou J; Fang Z; Xiao Y Sensors (Basel); 2022 Oct; 22(20):. PubMed ID: 36298185 [TBL] [Abstract][Full Text] [Related]
12. Bidirectional Long Short-Term Memory Model of Kuo TJ; Chao WT Gels; 2023 Dec; 9(12):. PubMed ID: 38131975 [TBL] [Abstract][Full Text] [Related]
13. Improving accuracy in state of health estimation for lithium batteries using gradient-based optimization: Case study in electric vehicle applications. El Marghichi M; Dangoury S; Zahrou Y; Loulijat A; Chojaa H; Banakhr FA; Mosaad MI PLoS One; 2023; 18(11):e0293753. PubMed ID: 37917753 [TBL] [Abstract][Full Text] [Related]
14. State of Health Prediction of Lithium-Ion Battery Based on Deep Dilated Convolution. Fu P; Chu L; Li J; Guo Z; Hu J; Hou Z Sensors (Basel); 2022 Dec; 22(23):. PubMed ID: 36502139 [TBL] [Abstract][Full Text] [Related]
15. A Data-Driven Approach to State of Health Estimation and Prediction for a Lithium-Ion Battery Pack of Electric Buses Based on Real-World Data. Xu N; Xie Y; Liu Q; Yue F; Zhao D Sensors (Basel); 2022 Aug; 22(15):. PubMed ID: 35957319 [TBL] [Abstract][Full Text] [Related]
16. Development of dual polarization battery model with high accuracy for a lithium-ion battery cell under dynamic driving cycle conditions. Tekin M; Karamangil MI Heliyon; 2024 Apr; 10(7):e28454. PubMed ID: 38571645 [TBL] [Abstract][Full Text] [Related]
17. Monitoring state of charge and volume expansion in lithium-ion batteries: an approach using surface mounted thin-film graphene sensors. Bree G; Hao H; Stoeva Z; John Low CT RSC Adv; 2023 Feb; 13(10):7045-7054. PubMed ID: 36874940 [TBL] [Abstract][Full Text] [Related]
18. A remaining useful life estimation method based on long short-term memory and federated learning for electric vehicles in smart cities. Chen X; Chen Z; Zhang M; Wang Z; Liu M; Fu M; Wang P PeerJ Comput Sci; 2023; 9():e1652. PubMed ID: 38077580 [TBL] [Abstract][Full Text] [Related]
19. Dataset for rapid state of health estimation of lithium batteries using EIS and machine learning: Training and validation. Rashid M; Faraji-Niri M; Sansom J; Sheikh M; Widanage D; Marco J Data Brief; 2023 Jun; 48():109157. PubMed ID: 37383794 [TBL] [Abstract][Full Text] [Related]
20. Deep-learning based spatio-temporal generative model on assessing state-of-health for Li-ion batteries with partially-cycled profiles. Park S; Lee H; Scott-Nevros ZK; Lim D; Seo DH; Choi Y; Lim H; Kim D Mater Horiz; 2023 Apr; 10(4):1274-1281. PubMed ID: 36806877 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]