Fast charging design for Lithium-ion batteries via Bayesian optimization
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R. Braatz | M. Bazant | Benben Jiang | Hongbo Zhao | P. Herring | M. D. Berliner | Patrick A. Asinger | Kun Peng Lai
[1] Torsten Wik,et al. Electrochemical Model-Based Fast Charging: Physical Constraint-Triggered PI Control , 2021, IEEE Transactions on Energy Conversion.
[2] Simona Onori,et al. Offline Multiobjective Optimization for Fast Charging and Reduced Degradation in Lithium-Ion Battery Cells Using Electrochemical Dynamics , 2021, IEEE Control Systems Letters.
[3] T. Gao,et al. Interplay of Lithium Intercalation and Plating on a Single Graphite Particle , 2021, Joule.
[4] S. Choe,et al. Optimal Fast Charging Method for a Large-Format Lithium-Ion Battery Based on Nonlinear Model Predictive Control and Reduced Order Electrochemical Model , 2021 .
[5] Jing Zheng,et al. Batch Bayesian optimization via adaptive local search , 2020, Applied Intelligence.
[6] Daniel A. Cogswell,et al. Spatial dynamics of lithiation and lithium plating during high-rate operation of graphite electrodes , 2020, Energy & Environmental Science.
[7] Song-Yul Choe,et al. Actively temperature controlled health-aware fast charging method for lithium-ion battery using nonlinear model predictive control , 2020 .
[8] William E. Gent,et al. Design Rules for High-Valent Redox in Intercalation Electrodes , 2020 .
[9] Won Tae Joe,et al. Reinforcement Learning-based Fast Charging Control Strategy for Li-ion Batteries , 2020, 2020 IEEE Conference on Control Technology and Applications (CCTA).
[10] Stefano Ermon,et al. Closed-loop optimization of fast-charging protocols for batteries with machine learning , 2020, Nature.
[11] Minggao Ouyang,et al. Thermal Runaway Triggered by Plated Lithium on the Anode after Fast Charging. , 2019, ACS applied materials & interfaces.
[12] Kunlei Zhu,et al. How Far Away Are Lithium-Sulfur Batteries From Commercialization? , 2019, Front. Energy Res..
[13] Emanuele Garone,et al. A feedback charge strategy for Li-ion battery cells based on Reference Governor , 2019, Journal of Process Control.
[14] Peng Zhao,et al. Fast charging optimization for lithium-ion batteries based on dynamic programming algorithm and electrochemical-thermal-capacity fade coupled model , 2019, Journal of Power Sources.
[15] Antonio Candelieri,et al. Bayesian Optimization and Data Science , 2019, SpringerBriefs in Optimization.
[16] Chao-Yang Wang,et al. Understanding the trilemma of fast charging, energy density and cycle life of lithium-ion batteries , 2018, Journal of Power Sources.
[17] Jun Lu,et al. Batteries and fuel cells for emerging electric vehicle markets , 2018 .
[18] Xuning Feng,et al. Thermal runaway mechanism of lithium ion battery for electric vehicles: A review , 2018 .
[19] Jianqiu Li,et al. Non-destructive fast charging algorithm of lithium-ion batteries based on the control-oriented electrochemical model , 2017 .
[20] Xiaosong Hu,et al. Optimal Charging of Li-Ion Batteries via a Single Particle Model with Electrolyte and Thermal Dynamics , 2017 .
[21] Xiaosong Hu,et al. Charging optimization in lithium-ion batteries based on temperature rise and charge time , 2017 .
[22] M. Bazant,et al. Multiphase Porous Electrode Theory , 2017, 1702.08432.
[23] Karen E. Thomas-alyea,et al. In Situ Observation and Mathematical Modeling of Lithium Distribution within Graphite , 2017 .
[24] Nando de Freitas,et al. Taking the Human Out of the Loop: A Review of Bayesian Optimization , 2016, Proceedings of the IEEE.
[25] R. B. Gopaluni,et al. LIONSIMBA: A Matlab Framework Based on a Finite Volume Model Suitable for Li-Ion Battery Design, Simulation, and Control , 2016 .
[26] Cher Ming Tan,et al. Effect of Temperature on the Aging rate of Li Ion Battery Operating above Room Temperature , 2015, Scientific Reports.
[27] Richard D. Braatz,et al. Optimal Charging Profiles with Minimal Intercalation-Induced Stresses for Lithium-Ion Batteries Using Reformulated Pseudo 2-Dimensional Models , 2014 .
[28] Christian Fleischer,et al. Critical review of the methods for monitoring of lithium-ion batteries in electric and hybrid vehicles , 2014 .
[29] Arthur Richards,et al. Fast model predictive control with soft constraints , 2013, 2013 European Control Conference (ECC).
[30] Jasper Snoek,et al. Practical Bayesian Optimization of Machine Learning Algorithms , 2012, NIPS.
[31] Rolf Findeisen,et al. Optimal charging strategies in lithium-ion battery , 2011, Proceedings of the 2011 American Control Conference.
[32] Nando de Freitas,et al. A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning , 2010, ArXiv.
[33] Roman Garnett,et al. Bayesian optimization for sensor set selection , 2010, IPSN '10.
[34] Nando de Freitas,et al. A Bayesian exploration-exploitation approach for optimal online sensing and planning with a visually guided mobile robot , 2009, Auton. Robots.
[35] Charles W. Monroe,et al. Direct in situ measurements of Li transport in Li-ion battery negative electrodes , 2009 .
[36] Carl E. Rasmussen,et al. Gaussian processes for machine learning , 2005, Adaptive computation and machine learning.
[37] M. Doyle,et al. Relaxation Phenomena in Lithium‐Ion‐Insertion Cells , 1994 .
[38] M. Doyle,et al. Simulation and Optimization of the Dual Lithium Ion Insertion Cell , 1994 .
[39] J. Newman,et al. Porous‐electrode theory with battery applications , 1975 .