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Produktbild: Advances in Battery Manufacturing, Service, and Management Systems

Advances in Battery Manufacturing, Service, and Management Systems

Aus der Reihe IEEE Series on Systems Science and Engineering

155,99 €

inkl. gesetzl. MwSt., Versandkostenfrei

Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

24.10.2016

Herausgeber

Jingshan Li + weitere

Verlag

John Wiley & Sons

Seitenzahl

416

Maße (L/B/H)

24,1/15,9/3 cm

Gewicht

698 g

Auflage

1. Auflage

Sprache

Englisch

ISBN

978-1-119-05649-2

Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

24.10.2016

Herausgeber

Verlag

John Wiley & Sons

Seitenzahl

416

Maße (L/B/H)

24,1/15,9/3 cm

Gewicht

698 g

Auflage

1. Auflage

Sprache

Englisch

ISBN

978-1-119-05649-2

Herstelleradresse

Libri GmbH
Europaallee 1
36244 Bad Hersfeld
DE

Email: GPSR Kontakt

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  • Produktbild: Advances in Battery Manufacturing, Service, and Management Systems
  • 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