A model-data-fusion method for real-time continuous remaining useful life prediction of lithium batteries

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 Estimation Based on a Nonlinear Diffusion Degradation Process

Xiaosheng Si, Wenbin Wang, Changhua Hu et al. · IEEE Transactions on Reliability · 2012 · 645 citations

Engineering, Systems Engineering, Lifecycle Engineering +12

A Novel Robust Student's <italic>t</italic>-Based Kalman Filter

Yulong Huang, Yonggang Zhang, Ning Li et al. · IEEE Transactions on Aerospace and Electronic Systems · 2017 · 478 citations

Computing, Autonomous Systems, Bayesian Data Analysis +16

State of health estimation for Li-Ion battery using incremental capacity analysis and Gaussian process regression

Xiaoyu Li, Changgui Yuan, Xiaohui Li et al. · Energy · 2019 · 467 citations

Engineering, Chemical Engineering, Electrochemical Engineering +15

State-of-health estimation and remaining useful life prediction for the lithium-ion battery based on a variant long short term memory neural network

Penghua Li, Zijian Zhang, Qingyu Xiong et al. · Journal of Power Sources · 2020 · 442 citations

Computing, Computer Science, Machine Learning +15