06696nam 2200457 450 991063988160332120230422074625.0981-19-7059-9(MiAaPQ)EBC7165676(Au-PeEL)EBL7165676(CKB)25913873000041(PPN)267817029(EXLCZ)992591387300004120230422d2023 uy 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierAdvanced model-based charging control for lithium-ion batteries /Quan Ouyang, Jian ChenSingapore :Huazhong University of Science and Technology Press :Springer,[2023]©20231 online resource (182 pages)Print version: Ouyang, Quan Advanced Model-Based Charging Control for Lithium-Ion Batteries Singapore : Springer,c2023 9789811970580 Intro -- Preface -- Contents -- Acronyms -- 1 Introduction -- 1.1 Brief Introduction of Lithium-Ion Batteries -- 1.1.1 Comparison with Other Commonly Used Batteries -- 1.1.2 Applications of Lithium-Ion Batteries -- 1.2 Format Comparison of Lithium-Ion Batteries -- 1.3 Electrochemical Mechanism of Lithium-Ion Batteries -- 1.3.1 Composition of Lithium-Ion Batteries -- 1.3.2 Charging-Discharging Mechanism -- 1.4 Motivation of Advanced Model-Based Battery Charging Control -- 1.4.1 Non-model-based Charging Control -- 1.4.2 Model-Based Charging Control -- References -- 2 Lithium-Ion Battery Charging Technologies: Fundamental Concepts -- 2.1 Definitions Related to Battery Charging -- 2.1.1 Basic Performance Parameters -- 2.1.2 State Indicators -- 2.2 Charging Objectives and Constraints -- 2.2.1 Charging Objectives -- 2.2.2 Safety-Related Constraints -- References -- 3 Lithium-Ion Battery Models -- 3.1 Electrochemical Models -- 3.1.1 Pseudo-Two-Dimensional Model -- 3.1.2 One-Dimensional Model -- 3.1.3 Single Particle Model -- 3.2 Equivalent Circuit Models -- 3.2.1 Rint Model -- 3.2.2 Thevenin Model -- 3.2.3 PNGV Model -- References -- 4 Neural Network-Based State of Charge Observer for Lithium-Ion Batteries -- 4.1 Battery Model -- 4.2 Neural Network-Based Nonlinear Observer Design for SOC Estimation -- 4.2.1 Neural Network-Based Nonlinear Observer Design -- 4.2.2 Convergence Analysis -- 4.3 Experimental Results -- 4.3.1 Experiment for Parameter Extraction -- 4.3.2 Experiments for SOC Estimation -- References -- 5 Co-estimation of State of Charge and Model Parameters for Lithium-Ion Batteries -- 5.1 Battery Model -- 5.2 Co-estimation of Model Parameters and SOC -- 5.2.1 On-line Battery Model Parameter Identification -- 5.2.2 Robust Observer for SOC Estimation -- 5.2.3 Summary of the Overall SOC Estimation Strategy -- 5.3 Experimental Results.5.3.1 Experimental Results for Battery Model Parameter On-line Identification -- 5.3.2 Experimental Results for SOC Estimation -- References -- 6 User-Involved Battery Charging Control with Economic Cost Optimization -- 6.1 Battery Model and Constraints -- 6.1.1 Battery Model -- 6.1.2 Safety-Related Constraints -- 6.2 Charging Tasks -- 6.2.1 User-Involved Charging Task -- 6.2.2 Economic Cost Optimization -- 6.2.3 Energy Loss Reduction -- 6.2.4 Multi-objective Formulation -- 6.3 Optimal Battery Charging Control Design -- 6.3.1 Optimal Charging Control Algorithm -- 6.3.2 Optimal Charging Current Determined by Barrier Method -- 6.4 Simulation Results -- 6.4.1 Charging Results -- 6.4.2 Comparison with Other Commonly Used Optimization Algorithms -- 6.4.3 Comparison with Charging Control Strategy without Economic Cost Optimization -- 6.4.4 Comparison with Charging Control Strategy Without Energy Loss Optimization -- 6.4.5 Simulation Results for Different Weight Selections -- 6.4.6 Simulation Results for Different User Demands -- 6.4.7 Comparison with Traditional CC-CV Charging Methods -- 6.5 Experimental Results -- References -- 7 Charging Analysis for Lithium-Ion Battery Packs -- 7.1 Cell Equalization Analysis -- 7.2 Multi-module Battery Pack Charger -- 7.2.1 Model and Control of Battery Pack Charger -- 7.2.2 Performance Validation -- 7.3 Battery Pack Charging System Combining Traditional Charger and Equalizers -- 7.3.1 Classification of Equalization Systems -- 7.3.2 Bidirectional Modified Cûk Converter-Based Equalizer -- 7.3.3 Modified Isolated Bidirectional Buck-Boost Converter-Based Equalizer -- References -- 8 User-Involved Charging Control for Battery Packs: Centralized Structure -- 8.1 Battery Pack Model and Constraints -- 8.1.1 Battery Pack Model -- 8.1.2 Charging Constraints -- 8.2 User-Involved Charging Control Design for Battery Packs.8.2.1 Charging Objectives -- 8.2.2 Optimal Battery Pack Charging Control Design -- 8.3 Simulation Results -- 8.3.1 Charging Results -- 8.3.2 High Current Charging -- 8.3.3 Effect Analysis of Weight Selection -- 8.4 Experimental Results -- References -- 9 User-Involved Charging Control for Battery Packs: Leader-Followers Structure -- 9.1 Charging Model and Constraints -- 9.1.1 Battery Pack Model -- 9.1.2 Safety-Related Charging Constraints -- 9.2 User-Involved Optimal Charging Control Design -- 9.2.1 User-Involved Charging Task Formulation -- 9.2.2 Optimal Average Charging Trajectory Generation -- 9.2.3 Distributed SOC Tracking-Based Charging Control -- 9.2.4 Different Sampling Period Setting for Two Control Layers -- 9.3 Simulation Results and Discussions -- 9.3.1 Charging Results -- 9.3.2 Discussions -- References -- 10 Fast Battery Charging Control for Battery Packs -- 10.1 Charging Model for the Battery Pack -- 10.1.1 Charging Current Model -- 10.1.2 Battery Pack Model -- 10.2 Control Objectives and Constraints -- 10.2.1 Charging Objectives -- 10.2.2 Charging Constraints -- 10.3 Fast Charging Control Strategy Design -- 10.3.1 Charging Control Algorithm Formulation -- 10.3.2 Two-Layer Optimization Algorithm -- 10.4 Simulation Results -- 10.5 Experimental Results -- References -- 11 The Future of Lithium-Ion Battery Charging Technologies -- 11.1 Multi-objective Optimization-Based Charging Technologies -- 11.2 High Efficient Battery Pack Charging Technologies -- 11.3 Wireless Charging Technologies.Battery chargersLithium ion batteriesBattery chargers.Lithium ion batteries.621.31242Ouyang Quan1274662Chen JianMiAaPQMiAaPQMiAaPQBOOK9910639881603321Advanced model-based charging control for lithium-ion batteries3090581UNINA