The following publications are possibly variants of this publication:
- A Health Indicator Extraction and Optimization Framework for Lithium-Ion Battery Degradation Modeling and PrognosticsDatong Liu, Jianbao Zhou, Haitao Liao, Yu Peng, Xiyuan Peng. tsmc, 45(6):915-928, 2015. [doi]
- Lithium-ion battery diagnostics and prognostics enhanced with Dempster-Shafer decision fusionJohn Weddington, Guangxing Niu, Renxiang Chen, Wuzhao Yan, Bin Zhang 0008. ijon, 458:440-453, 2021. [doi]
- Investigation of Deep Learning Based Techniques for Prognostic and Health Management of Lithium-Ion BatteryUmar Saleem, Weilin Li, Weinjie Liu, Ibtihaj Ahmad, Muhammad Mobeen Aslam, Hafiz Umair Lateef. ecai2 2023: 1-6 [doi]
- Lithium-Ion Battery Calendar Health Prognostics Based on Knowledge-Data-Driven AttentionTianyu Hu, Huimin Ma, Kailong Liu, Hongbin Sun 0002. tie, 70(1):407-417, 2023. [doi]
- Prognostics for state of health estimation of lithium-ion batteries based on combination Gaussian process functional regressionDatong Liu, Jingyue Pang, Jianbao Zhou, Yu Peng, Michael Pecht. mr, 53(6):832-839, 2013. [doi]