Remaining useful life prediction of lithium-ion batteries with adaptive unscented kalman filter and optimized support vector regression
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Cheng Cheng | Zhiwei Xue | Yong Zhang | Guijun Ma | Cheng Cheng | Zhiwei Xue | Yong Zhang | Guijun Ma
[1] Yong Guan,et al. Review of the Remaining Useful Life Prognostics of Vehicle Lithium-Ion Batteries Using Data-Driven Methodologies , 2016 .
[2] Taejung Yeo,et al. A novel multistage Support Vector Machine based approach for Li ion battery remaining useful life estimation , 2015 .
[3] Brigitte Chebel-Morello,et al. Direct Remaining Useful Life Estimation Based on Support Vector Regression , 2017, IEEE Transactions on Industrial Electronics.
[4] Han Ding,et al. Bayesian Learning-Based Model-Predictive Vibration Control for Thin-Walled Workpiece Machining Processes , 2017, IEEE/ASME Transactions on Mechatronics.
[5] Honghai Liu,et al. Simultaneous Calibration: A Joint Optimization Approach for Multiple Kinect and External Cameras , 2017, Sensors.
[6] Huajing Fang,et al. A new hybrid method for the prediction of the remaining useful life of a lithium-ion battery , 2017 .
[7] Nan Chen,et al. A state-space-based prognostics model for lithium-ion battery degradation , 2017, Reliab. Eng. Syst. Saf..
[8] Kwok-Leung Tsui,et al. An ensemble model for predicting the remaining useful performance of lithium-ion batteries , 2013, Microelectron. Reliab..
[9] Zhang Yong,et al. Torus-Event-Based Fault Diagnosis for Stochastic Multirate Time-Varying Systems With Constrained Fault , 2020, IEEE Transactions on Cybernetics.
[10] Guangzhong Dong,et al. Remaining dischargeable time prediction for lithium-ion batteries using unscented Kalman filter , 2017 .
[11] Ivo Paixao de Medeiros,et al. Remaining useful life estimation in aeronautics: Combining data-driven and Kalman filtering , 2018, Reliab. Eng. Syst. Saf..
[12] Yong Zhang,et al. A recurrent neural network approach for remaining useful life prediction utilizing a novel trend features construction method , 2019, Measurement.
[13] B. Scrosati,et al. Lithium batteries: Status, prospects and future , 2010 .
[14] Huajing Fang,et al. An integrated unscented kalman filter and relevance vector regression approach for lithium-ion battery remaining useful life and short-term capacity prediction , 2015, Reliab. Eng. Syst. Saf..
[15] Johan Schubert,et al. Efficient genetic algorithms for optimal assignment of tasks to teams of agents , 2018, Neurocomputing.
[16] Hoay Beng Gooi,et al. Multi-Objective Optimal Dispatch of Microgrid Under Uncertainties via Interval Optimization , 2019, IEEE Transactions on Smart Grid.
[17] Jay Lee,et al. A review on prognostics and health monitoring of Li-ion battery , 2011 .
[18] Fuad E. Alsaadi,et al. Annulus-event-based fault detection, isolation and estimation for multirate time-varying systems: Applications to a three-tank system , 2019, Journal of Process Control.
[19] Beitong Zhou,et al. Remaining useful life prediction of lithium-ion batteries based on false nearest neighbors and a hybrid neural network , 2019, Applied Energy.
[20] Jae Sik Chung,et al. A Multiscale Framework with Extended Kalman Filter for Lithium-Ion Battery SOC and Capacity Estimation , 2010 .
[21] Mihai V. Micea,et al. Battery state of health estimation: a structured review of models, methods and commercial devices , 2017 .
[22] Wenquan Feng,et al. A novel prediction method based on the support vector regression for the remaining useful life of lithium-ion batteries , 2018, Microelectron. Reliab..
[23] Rudolph van der Merwe,et al. The unscented Kalman filter for nonlinear estimation , 2000, Proceedings of the IEEE 2000 Adaptive Systems for Signal Processing, Communications, and Control Symposium (Cat. No.00EX373).
[24] M. A. Hannan,et al. A review of state of health and remaining useful life estimation methods for lithium-ion battery in electric vehicles: Challenges and recommendations , 2018, Journal of Cleaner Production.
[25] Michael Buchholz,et al. Health diagnosis and remaining useful life prognostics of lithium-ion batteries using data-driven methods , 2013 .
[26] Zheng Chen,et al. An On-Board Remaining Useful Life Estimation Algorithm for Lithium-Ion Batteries of Electric Vehicles , 2017 .
[27] Dong Wei,et al. Parameter optimization of thermal-model-oriented control law for PEM fuel cell stack via novel genetic algorithm , 2011 .