Remaining useful life prediction of lithium-ion battery based on fusion model considering capacity regeneration phenomenon

A Data-Driven Approach With Uncertainty Quantification for Predicting Future Capacities and Remaining Useful Life of Lithium-ion Battery

Kailong Liu, Yunlong Shang, Quan Ouyang et al. · IEEE Transactions on Industrial Electronics · 2020 · 785 citations · Full text

Computing, Computational Engineering, Data Science +17

Remaining Useful Life Prediction and State of Health Diagnosis for Lithium-Ion Batteries Using Particle Filter and Support Vector Regression

Jingwen Wei, Guangzhong Dong, Zonghai Chen · IEEE Transactions on Industrial Electronics · 2017 · 630 citations

Engineering, Chemical Engineering, Electrochemical Engineering +16

Remaining useful life prediction for lithium-ion batteries based on a hybrid model combining the long short-term memory and Elman neural networks

Xiaoyu Li, Zhenpo Wang, Peng Dong · Journal of Energy Storage · 2018 · 435 citations

Computing, Materials Engineering, Materials Science +17

Advanced mathematical methods of SOC and SOH estimation for lithium-ion batteries

Dave André, Christian Appel, Thomas Soczka‐Guth et al. · Journal of Power Sources · 2012 · 421 citations

Engineering, Chemistry, Electrical Engineering +15

Gaussian Process Regression With Automatic Relevance Determination Kernel for Calendar Aging Prediction of Lithium-Ion Batteries

Kailong Liu, Yi Li, Mattin Lucu et al. · IEEE Transactions on Industrial Informatics · 2019 · 376 citations · Full text

Computing, Computational Engineering, Computer Science +17