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2405-2022 - IEEE Standard for the Design of Chargers Used in Stationary Battery Applications / / IEEE
2405-2022 - IEEE Standard for the Design of Chargers Used in Stationary Battery Applications / / IEEE
Pubbl/distr/stampa New York : , : IEEE, , 2022
Descrizione fisica 1 online resource (48 pages)
Disciplina 621.31242
Soggetto topico Battery chargers - Design and construction
Stationary processes
ISBN 1-5044-9082-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISA-996575139103316
New York : , : IEEE, , 2022
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
946-2020 - IEEE Recommended Practice for the Design of DC Power Systems for Stationary Applications - Redline / / Institute of Electrical and Electronics Engineers
946-2020 - IEEE Recommended Practice for the Design of DC Power Systems for Stationary Applications - Redline / / Institute of Electrical and Electronics Engineers
Pubbl/distr/stampa [Place of publication not identified] : , : IEEE, , 2020
Descrizione fisica 1 online resource (149 pages)
Disciplina 621.31242
Soggetto topico Battery chargers
Battery charging stations (Electric vehicles)
ISBN 1-5044-7415-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910440014603321
[Place of publication not identified] : , : IEEE, , 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
946-2020 - IEEE Recommended Practice for the Design of DC Power Systems for Stationary Applications - Redline / / Institute of Electrical and Electronics Engineers
946-2020 - IEEE Recommended Practice for the Design of DC Power Systems for Stationary Applications - Redline / / Institute of Electrical and Electronics Engineers
Pubbl/distr/stampa [Place of publication not identified] : , : IEEE, , 2020
Descrizione fisica 1 online resource (149 pages)
Disciplina 621.31242
Soggetto topico Battery chargers
Battery charging stations (Electric vehicles)
ISBN 1-5044-7415-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISA-996574638603316
[Place of publication not identified] : , : IEEE, , 2020
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Advanced model-based charging control for lithium-ion batteries / / Quan Ouyang, Jian Chen
Advanced model-based charging control for lithium-ion batteries / / Quan Ouyang, Jian Chen
Autore Ouyang Quan
Pubbl/distr/stampa Singapore : , : Huazhong University of Science and Technology Press : , : Springer, , [2023]
Descrizione fisica 1 online resource (182 pages)
Disciplina 621.31242
Soggetto topico Battery chargers
Lithium ion batteries
ISBN 981-19-7059-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 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.
Record Nr. UNINA-9910639881603321
Ouyang Quan  
Singapore : , : Huazhong University of Science and Technology Press : , : Springer, , [2023]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Advances in battery manufacturing, service, and management systems / / edited by Jingshan Li, Shiyu Zhou, Yehui Han
Advances in battery manufacturing, service, and management systems / / edited by Jingshan Li, Shiyu Zhou, Yehui Han
Pubbl/distr/stampa Hoboken, New Jersey : , : Wiley, [2017]
Descrizione fisica 1 online resource (411 p.)
Disciplina 621.31242
Collana IEEE Press series on systems science and engineering
Soggetto topico Electric batteries
ISBN 1-119-06087-7
1-119-06063-X
1-119-06074-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto PREFACE XV -- CONTRIBUTORS XIX -- PART I BATTERY MANUFACTURING SYSTEMS -- 1 LITHIUM-ION BATTERY MANUFACTURING FOR ELECTRIC VEHICLES: A CONTEMPORARY OVERVIEW 3 /Wayne Cai -- 1.1 Introduction 3 -- 1.2 Li-Ion Battery Cells, Modules, and Packs 4 -- 1.3 Joining Technologies for Batteries 8 -- 1.4 Battery Manufacturing: The Industrial Landscape 19 -- 1.5 Conclusions 25 -- 2 IMPROVING BATTERY MANUFACTURING THROUGH QUALITY AND PRODUCTIVITY BOTTLENECK INDICATORS 29 /Feng Ju, Jingshan Li, Guoxian Xiao, Ningjian Huang, Jorge Arinez, Stephan Biller, and Weiwen Deng -- 2.1 Introduction 29 -- 2.2 Literature Review 31 -- 2.3 Problem Formulation 33 -- 2.4 Integrated Quality and Productivity Performance Evaluation 35 -- 2.5 Bottleneck Analysis 46 -- 2.6 Conclusions 50 -- 3 EVENT-BASED MODELING FOR BATTERY MANUFACTURING SYSTEMS USING SENSOR DATA 57 /Qing Chang, Yang Li, Stephan Biller, and Guoxian Xiao -- 3.1 Introduction 57 -- 3.2 Sensor Networks for Battery Manufacturing System 58 -- 3.3 Event-based Modeling Approach 60 -- 3.4 Event-based Diagnosis for Market Demand / Driven Battery Manufacturing 68 -- 3.5 Event-based Costing for Market Demand / Driven Battery Manufacturing System 76 -- 3.6 Conclusions 77 -- 4 A REVIEW ON END-OF-LIFE BATTERY MANAGEMENT: CHALLENGES, MODELING, AND SOLUTION METHODS 79 /Xiaoning Jin -- 4.1 Introduction / 79 -- 4.2 Research Issues of Battery Remanufacturing / 82 -- 4.3 Modeling and Analysis for Battery-Remanufacturing Systems / 88 -- 4.4 Summary / 94 -- References / 94 -- 5 AN ANALYTICS APPROACH FOR INCORPORATING MARKET DEMAND INTO PRODUCTION DESIGN AND OPERATIONS OPTIMIZATION 99 /Chris Johnson, Bahar Biller, Shanshan Wang, and Stephan Biller -- 5.1 Introduction 99 -- 5.2 Design and Operational Decision Support 101 -- 5.3 Linkage to a Financial Transfer Function 104 -- 5.4 A Quantification of Risk in Design and Operations 110 -- 5.5 Exploration of Design and Operations Choices 113 -- 5.6 Manufacturing Operations Transfer Function: Throughput, Inventory, Expense, and Fulfillment 118.
5.7 Activity-based Costing 120 -- 5.8 Conclusion 123 -- PART II BATTERY SERVICE SYSTEMS -- 6 PROGNOSTIC CLASSIFICATION PROBLEM IN BATTERY HEALTH MANAGEMENT 129 /Junbo Son, Raed Kontar, and Shiyu Zhou -- 6.1 Introduction 129 -- 6.2 Failure Predictions by Logistic Regression and JPM 132 -- 6.3 Numerical Study 136 -- 6.4 Discussion of the Impact of Imbalanced Data 143 -- 6.5 Conclusion 146 -- 7 A BAYESIAN APPROACH TO BATTERY PROGNOSTICS AND HEALTH MANAGEMENT 151 /Bhaskar Saha -- 7.1 Introduction 151 -- 7.2 Background 152 -- 7.3 Battery Model for a Bayesian Approach 154 -- 7.4 Particle Filtering Framework for State Tracking and Prediction 156 -- 7.5 Battery Model Considerations for PF Performance 160 -- 7.6 Decision Making for Optimizing Battery Use 167 -- 7.7 Summary 171 -- 8 RECENT RESEARCH ON BATTERY DIAGNOSTICS, PROGNOSTICS, AND UNCERTAINTY MANAGEMENT 175 /Zhimin Xi, Rong Jing, Cheol Lee, and Mushegh Hayrapetyan -- 8.1 Introduction 175 -- 8.2 Battery Diagnostics 177 -- 8.3 Battery Prognostics 186 -- 8.4 Uncertainty Management 195 -- 8.5 Summary 207 -- 9 LITHIUM-ION BATTERY REMAINING USEFUL LIFE ESTIMATION BASED ON ENSEMBLE LEARNING WITH LS-SVM ALGORITHM 217 /Yu Peng, Siyuan Lu, Wei Xie, Datong Liu, and Haitao Liao -- 9.1 Introduction 217 -- 9.2 LS-SVM Algorithm 218 -- 9.3 LS-SVM Ensemble Learning Algorithm 220 -- 9.4 Experiment Verification and Analysis 224 -- 9.5 Conclusion 226 -- 10 DATA-DRIVEN PROGNOSTICS FOR BATTERIES SUBJECT TO HARD FAILURE 233 /Qiang Zhou, Jianing Man, and Junbo Son -- 10.1 Introduction 233 -- 10.2 The Prognostic Model 236 -- 10.3 Simulation Study 245 -- 10.4 Summary 251 -- PART III BATTERY MANAGEMENT SYSTEMS (BMS) -- 11 REVIEW OF BATTERY EQUALIZERS AND INTRODUCTION TO THE INTEGRATED BUILDING BLOCK DESIGN OF DISTRIBUTED BMS 257 /Ye Li, Yehui Han, and Liang Zhang -- 11.1 Concept of Battery Equalization 257 -- 11.2 Equalization Methods 258 -- 11.3 Introduction of Integrated Building Block Design of a Distributed BMS 264 -- 11.4 The Proposed Integrated Building Block Design of BMS 264.
11.5 System Implementation 268 -- 11.6 Tested System Description 270 -- 11.7 Functional Performance Evaluation 273 -- 11.8 Conclusion 276 -- 12 MATHEMATICAL MODELING, PERFORMANCE ANALYSIS AND CONTROL OF BATTERY EQUALIZATION SYSTEMS: REVIEW AND RECENT DEVELOPMENTS 281 /Weiji Han, Liang Zhang, and Yehui Han -- 12.1 Introduction 281 -- 12.2 Modeling of Battery Equalization Systems 282 -- 12.3 Performance Evaluation of Battery Equalization Systems 289 -- 12.4 Control Strategies for Battery Equalization Systems 292 -- 12.5 Summary 297 -- 13 REVIEW OF STRUCTURES AND CONTROL OF BATTERYSUPERCAPACITOR HYBRID ENERGY STORAGE SYSTEM FOR ELECTRIC VEHICLES 303 /Feng Ju, Qiao Zhang, Weiwen Deng, and Jingshan Li -- 13.1 Introduction 303 -- 13.2 Batteries for EVs 304 -- 13.3 Supercapacitors for EVs 305 -- 13.4 Battery-Supercapacitor Hybrid Energy Storage System 306 -- 13.5 Control Strategy for HESS 312 -- 14 POWER MANAGEMENT CONTROL STRATEGY OF BATTERY-SUPERCAPACITOR HYBRID ENERGY STORAGE SYSTEM USED IN ELECTRIC VEHICLES 319 /Qiao Zhang, Weiwen Deng, Jian Wu, Feng Ju, and Jingshan Li -- 14.1 Introduction 319 -- 14.2 Low-Level Hybrid Topologies 320 -- 14.3 High-Level Supervisory Control 323 -- 14.4 Conclusions 350 -- 15 FEDERAL AND STATE INCENTIVES HEIGHTEN CONSUMER INTEREST IN ELECTRIC VEHICLES 355 /William Canis -- 15.1 Introduction 355 -- 15.2 Electric Vehicles and the Federal Role 356 -- 15.3 Public Interest in HEVs and Electric Vehicles 358 -- 15.4 Federal Support for HEVs and Electric Vehicles 360 -- 15.5 Support for EVs in the Obama Administration 363 -- 15.6 Impact of GHG Regulations 366 -- 15.7 Vehicle Environmental Life Cycle Comparisons 368 -- 15.8 State Initiatives 369 -- 15.9 Prospects for Growth / 373 -- 15.10 Conclusion 376 -- Acknowledgment 376 -- References 376 -- INDEX 381.
Record Nr. UNINA-9910135027703321
Hoboken, New Jersey : , : Wiley, [2017]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Advances in battery manufacturing, service, and management systems / / edited by Jingshan Li, Shiyu Zhou, Yehui Han
Advances in battery manufacturing, service, and management systems / / edited by Jingshan Li, Shiyu Zhou, Yehui Han
Pubbl/distr/stampa Hoboken, New Jersey : , : Wiley, [2017]
Descrizione fisica 1 online resource (411 p.)
Disciplina 621.31242
Collana IEEE Press series on systems science and engineering
Soggetto topico Electric batteries
ISBN 1-119-06087-7
1-119-06063-X
1-119-06074-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto PREFACE XV -- CONTRIBUTORS XIX -- PART I BATTERY MANUFACTURING SYSTEMS -- 1 LITHIUM-ION BATTERY MANUFACTURING FOR ELECTRIC VEHICLES: A CONTEMPORARY OVERVIEW 3 /Wayne Cai -- 1.1 Introduction 3 -- 1.2 Li-Ion Battery Cells, Modules, and Packs 4 -- 1.3 Joining Technologies for Batteries 8 -- 1.4 Battery Manufacturing: The Industrial Landscape 19 -- 1.5 Conclusions 25 -- 2 IMPROVING BATTERY MANUFACTURING THROUGH QUALITY AND PRODUCTIVITY BOTTLENECK INDICATORS 29 /Feng Ju, Jingshan Li, Guoxian Xiao, Ningjian Huang, Jorge Arinez, Stephan Biller, and Weiwen Deng -- 2.1 Introduction 29 -- 2.2 Literature Review 31 -- 2.3 Problem Formulation 33 -- 2.4 Integrated Quality and Productivity Performance Evaluation 35 -- 2.5 Bottleneck Analysis 46 -- 2.6 Conclusions 50 -- 3 EVENT-BASED MODELING FOR BATTERY MANUFACTURING SYSTEMS USING SENSOR DATA 57 /Qing Chang, Yang Li, Stephan Biller, and Guoxian Xiao -- 3.1 Introduction 57 -- 3.2 Sensor Networks for Battery Manufacturing System 58 -- 3.3 Event-based Modeling Approach 60 -- 3.4 Event-based Diagnosis for Market Demand / Driven Battery Manufacturing 68 -- 3.5 Event-based Costing for Market Demand / Driven Battery Manufacturing System 76 -- 3.6 Conclusions 77 -- 4 A REVIEW ON END-OF-LIFE BATTERY MANAGEMENT: CHALLENGES, MODELING, AND SOLUTION METHODS 79 /Xiaoning Jin -- 4.1 Introduction / 79 -- 4.2 Research Issues of Battery Remanufacturing / 82 -- 4.3 Modeling and Analysis for Battery-Remanufacturing Systems / 88 -- 4.4 Summary / 94 -- References / 94 -- 5 AN ANALYTICS APPROACH FOR INCORPORATING MARKET DEMAND INTO PRODUCTION DESIGN AND OPERATIONS OPTIMIZATION 99 /Chris Johnson, Bahar Biller, Shanshan Wang, and Stephan Biller -- 5.1 Introduction 99 -- 5.2 Design and Operational Decision Support 101 -- 5.3 Linkage to a Financial Transfer Function 104 -- 5.4 A Quantification of Risk in Design and Operations 110 -- 5.5 Exploration of Design and Operations Choices 113 -- 5.6 Manufacturing Operations Transfer Function: Throughput, Inventory, Expense, and Fulfillment 118.
5.7 Activity-based Costing 120 -- 5.8 Conclusion 123 -- PART II BATTERY SERVICE SYSTEMS -- 6 PROGNOSTIC CLASSIFICATION PROBLEM IN BATTERY HEALTH MANAGEMENT 129 /Junbo Son, Raed Kontar, and Shiyu Zhou -- 6.1 Introduction 129 -- 6.2 Failure Predictions by Logistic Regression and JPM 132 -- 6.3 Numerical Study 136 -- 6.4 Discussion of the Impact of Imbalanced Data 143 -- 6.5 Conclusion 146 -- 7 A BAYESIAN APPROACH TO BATTERY PROGNOSTICS AND HEALTH MANAGEMENT 151 /Bhaskar Saha -- 7.1 Introduction 151 -- 7.2 Background 152 -- 7.3 Battery Model for a Bayesian Approach 154 -- 7.4 Particle Filtering Framework for State Tracking and Prediction 156 -- 7.5 Battery Model Considerations for PF Performance 160 -- 7.6 Decision Making for Optimizing Battery Use 167 -- 7.7 Summary 171 -- 8 RECENT RESEARCH ON BATTERY DIAGNOSTICS, PROGNOSTICS, AND UNCERTAINTY MANAGEMENT 175 /Zhimin Xi, Rong Jing, Cheol Lee, and Mushegh Hayrapetyan -- 8.1 Introduction 175 -- 8.2 Battery Diagnostics 177 -- 8.3 Battery Prognostics 186 -- 8.4 Uncertainty Management 195 -- 8.5 Summary 207 -- 9 LITHIUM-ION BATTERY REMAINING USEFUL LIFE ESTIMATION BASED ON ENSEMBLE LEARNING WITH LS-SVM ALGORITHM 217 /Yu Peng, Siyuan Lu, Wei Xie, Datong Liu, and Haitao Liao -- 9.1 Introduction 217 -- 9.2 LS-SVM Algorithm 218 -- 9.3 LS-SVM Ensemble Learning Algorithm 220 -- 9.4 Experiment Verification and Analysis 224 -- 9.5 Conclusion 226 -- 10 DATA-DRIVEN PROGNOSTICS FOR BATTERIES SUBJECT TO HARD FAILURE 233 /Qiang Zhou, Jianing Man, and Junbo Son -- 10.1 Introduction 233 -- 10.2 The Prognostic Model 236 -- 10.3 Simulation Study 245 -- 10.4 Summary 251 -- PART III BATTERY MANAGEMENT SYSTEMS (BMS) -- 11 REVIEW OF BATTERY EQUALIZERS AND INTRODUCTION TO THE INTEGRATED BUILDING BLOCK DESIGN OF DISTRIBUTED BMS 257 /Ye Li, Yehui Han, and Liang Zhang -- 11.1 Concept of Battery Equalization 257 -- 11.2 Equalization Methods 258 -- 11.3 Introduction of Integrated Building Block Design of a Distributed BMS 264 -- 11.4 The Proposed Integrated Building Block Design of BMS 264.
11.5 System Implementation 268 -- 11.6 Tested System Description 270 -- 11.7 Functional Performance Evaluation 273 -- 11.8 Conclusion 276 -- 12 MATHEMATICAL MODELING, PERFORMANCE ANALYSIS AND CONTROL OF BATTERY EQUALIZATION SYSTEMS: REVIEW AND RECENT DEVELOPMENTS 281 /Weiji Han, Liang Zhang, and Yehui Han -- 12.1 Introduction 281 -- 12.2 Modeling of Battery Equalization Systems 282 -- 12.3 Performance Evaluation of Battery Equalization Systems 289 -- 12.4 Control Strategies for Battery Equalization Systems 292 -- 12.5 Summary 297 -- 13 REVIEW OF STRUCTURES AND CONTROL OF BATTERYSUPERCAPACITOR HYBRID ENERGY STORAGE SYSTEM FOR ELECTRIC VEHICLES 303 /Feng Ju, Qiao Zhang, Weiwen Deng, and Jingshan Li -- 13.1 Introduction 303 -- 13.2 Batteries for EVs 304 -- 13.3 Supercapacitors for EVs 305 -- 13.4 Battery-Supercapacitor Hybrid Energy Storage System 306 -- 13.5 Control Strategy for HESS 312 -- 14 POWER MANAGEMENT CONTROL STRATEGY OF BATTERY-SUPERCAPACITOR HYBRID ENERGY STORAGE SYSTEM USED IN ELECTRIC VEHICLES 319 /Qiao Zhang, Weiwen Deng, Jian Wu, Feng Ju, and Jingshan Li -- 14.1 Introduction 319 -- 14.2 Low-Level Hybrid Topologies 320 -- 14.3 High-Level Supervisory Control 323 -- 14.4 Conclusions 350 -- 15 FEDERAL AND STATE INCENTIVES HEIGHTEN CONSUMER INTEREST IN ELECTRIC VEHICLES 355 /William Canis -- 15.1 Introduction 355 -- 15.2 Electric Vehicles and the Federal Role 356 -- 15.3 Public Interest in HEVs and Electric Vehicles 358 -- 15.4 Federal Support for HEVs and Electric Vehicles 360 -- 15.5 Support for EVs in the Obama Administration 363 -- 15.6 Impact of GHG Regulations 366 -- 15.7 Vehicle Environmental Life Cycle Comparisons 368 -- 15.8 State Initiatives 369 -- 15.9 Prospects for Growth / 373 -- 15.10 Conclusion 376 -- Acknowledgment 376 -- References 376 -- INDEX 381.
Record Nr. UNINA-9910830229603321
Hoboken, New Jersey : , : Wiley, [2017]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Batteries : present and future energy storage challenges / / edited by Stefano Passerini [and three others]
Batteries : present and future energy storage challenges / / edited by Stefano Passerini [and three others]
Pubbl/distr/stampa Weinheim, Germany : , : Wiley-VCH, , [2020]
Descrizione fisica 1 online resource (932 pages)
Disciplina 621.31242
Collana Encyclopedia of electrochemistry
Soggetto topico Electric batteries
ISBN 3-527-82730-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910798927203321
Weinheim, Germany : , : Wiley-VCH, , [2020]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Batteries : present and future energy storage challenges / / edited by Stefano Passerini [and three others]
Batteries : present and future energy storage challenges / / edited by Stefano Passerini [and three others]
Pubbl/distr/stampa Weinheim, Germany : , : Wiley-VCH, , [2020]
Descrizione fisica 1 online resource (932 pages)
Disciplina 621.31242
Collana Encyclopedia of electrochemistry
Soggetto topico Electric batteries
ISBN 3-527-82730-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910814221003321
Weinheim, Germany : , : Wiley-VCH, , [2020]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Batteries & supercaps
Batteries & supercaps
Pubbl/distr/stampa Weinheim : , : Wiley-VCH Verlag GmbH & Co. KGaA, , 2018-
Descrizione fisica 1 online resource
Disciplina 621.31242
Soggetto topico Electric batteries - Research
Batteries (Ordnance) - Research
Supercapacitors
Soggetto genere / forma Periodicals.
ISSN 2566-6223
Formato Materiale a stampa
Livello bibliografico Periodico
Lingua di pubblicazione eng
Altri titoli varianti Batteries und supercaps
Batteries and supercaps
Batteries journal
Record Nr. UNINA-9910329442203321
Weinheim : , : Wiley-VCH Verlag GmbH & Co. KGaA, , 2018-
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Batteries & supercaps
Batteries & supercaps
Pubbl/distr/stampa Weinheim : , : Wiley-VCH Verlag GmbH & Co. KGaA, , 2018-
Descrizione fisica 1 online resource
Disciplina 621.31242
Soggetto topico Electric batteries - Research
Batteries (Ordnance) - Research
Supercapacitors
Soggetto genere / forma Periodicals.
ISSN 2566-6223
Formato Materiale a stampa
Livello bibliografico Periodico
Lingua di pubblicazione eng
Altri titoli varianti Batteries und supercaps
Batteries and supercaps
Batteries journal
Record Nr. UNISA-996326243703316
Weinheim : , : Wiley-VCH Verlag GmbH & Co. KGaA, , 2018-
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui