Advances in battery manufacturing, service, and management systems:
Gespeichert in:
| Weitere Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Hoboken, New Jersey
Wiley
[2017]
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| Schriftenreihe: | IEEE Press series on systems science and engineering
11 |
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis Klappentext |
| Beschreibung: | xx, 385 Seiten Illustrationen, Diagramme |
| ISBN: | 1119056497 9781119056492 |
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Datensatz im Suchindex
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| adam_text | CONTENTS
PREFACE XV
CONTRIBUTORS XIX
PART I BATTERY MANUFACTURING SYSTEMS
1 LITHIUM-ION BATTERY MANUFACTURING FOR ELECTRIC
VEHICLES: A CONTEMPORARY OVERVIEW 3
Wayne Cat
1.1 Introduction / 3
1.2 Li-Ion Battery Cells, Modules, and Packs / 4
1.2.1 Formats of Li-Ion Battery Cells / 6
1.2.2 Battery Modules and Pack / 8
1.3 Joining Technologies for Batteries / 8
1.3.1 Ultrasonic Metal Welding / 9
1.3.2 Resistance Welding / 15
1.3.3 Laser Beam Welding /15
1.3.4 Wire Bonding / 18
1.3.5 Mechanical Joining / 19
1.3.6 Summary /19
v
Vl CONTENTS
1.4 Battery Manufacturing: The Industrial Landscape /19
1.4.1 Cell Manufacturing / 19
1.4.2 Module Assembly (Cell-to-Cell) / 23
1.4.3 Pack Assembly (Module-to-Module) / 24
1.5 Conclusions / 25
References / 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
2.4.1 Interactions between Quality Behavior and Production
Throughput / 35
2.4.2 Step 1: Quality Propagation / 36
2.4.3 Step 2: Multistage Overlapping Decomposition / 38
2.4.4 Iteration Procedure / 40
2.4.5 Convergence / 43
2.4.6 Accuracy / 43
2.4.7 Conservation of Flow / 44
2.5 Bottleneck Analysis / 46
2.5.1 DT-BN Indicator / 47
2.5.2 QBN Indicators / 48
2.6 Conclusions / 50
Acknowledgment /51
Appendix A: Operators 0(9, d j(9 and 02(9 /51
References / 52
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
3.3.1 Market Demand-Driven System Description / 60
3.3.2 EBM for Market Demand-Driven Battery Manufacturing / 63
CONTENTS Vli
3.3.3 The Impact of Stations and Supporting Activities to the
Overali System / 64
3.4 Event-based Diagnosis for Market Demand-Driven Battery
Manufacturing / 68
3.4.1 Event-based Indicators on Market Demand-Driven
System / 69
3.4.2 Bottleneck Analysis for Critical Stations / 74
3.5 Event-based Costing for Market Demand-Driven Battery Manufacturing
System /76
3.6 Conclusions / 77
Acknowledgment /78
References /78
4 A REVIEW ON END-OF-LIFE BATTERY MANAGEMENT:
CHALLENGES, MODELING, AND SOLUTION METHODS 79
Xiaoning Jin
4.1 Introduction / 79
4.1.1 Background / 79
4.1.2 Value Chain of EV Battery / 80
4.1.3 Why Remanufacturing? / 80
4.2 Research Issues of Batteiy Remanufacturing / 82
4.2.1 Remanufacturing Versus Traditional Manufacturing / 82
4.2.2 Remaining Useful Life Estimation / 82
4.2.3 Quality Variation of Battery Returns / 84
4.2.4 EOL Decision-Making for Battery Returns with
Uncertainty / 85
4.2.5 Remanufacturing Processes / 87
4.2.6 Balancing Issue in Remanufacturing / 87
4.3 Modeling and Analysis for Battery-Remanufacturing Systems / 88
4.3.1 Modular Batteiy Testing, Rematching and Reassembly
Issues / 89
4.3.2 Deteriorating Inventory Modeling / 90
4.3.3 Remanufacturing Strategies / 91
4.3.4 Reassembly Strategy with Quality Variation / 93
4.4 Summary / 94
References / 94
viii
CONTENTS
5 AN ANALYTICS APPROACH FOR INCORPORATING MARKET
DEMAND INTO PRODUCTION DESIGN AND OPERATIONS
OPTIMIZATION
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
5.5.1 Market Coupling: Demand as Exogenous / 113
5.5.2 Market Coupling: Demand as Endogenous / 116
5.6 Manufacturing Operations Transfer Function: Throughput, Inventory,
Expense, and Fulfillment / 118
5.7 Activity-based Costing /120
5.8 Conclusion / 123
References /124
PART II BATTERY SERVICE SYSTEMS
6 PROGNOSTIC CLASSIFICATION PROBLEM IN BATTERY
HEALTH MANAGEMENT 1
Junbo Son, Raed Kontar, and Shiyu Zhou
6.1 Introduction / 129
6.2 Failure Predictions by Logistic Regression and JPM / 132
6.2.1 Failure Prediction by Logistic Regression /132
6.2.2 Failure Prediction by JPM /133
6.2.3 Summary of Logistic Regression and JPM Prognostic
Frameworks /136
6.3 Numerical Study /136
6.3.1 Simulation Procedure /136
6.3.2 Performance Evaluation / 138
6.4 Discussion of the Impact of Imbalanced Data / 143
6.5 Conclusion /146
References / 147
CONTENTS iX
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 Batteiy Model Considerations for PF Performance /160
7.5.1 Model 1: Exponential Approximations / 160
7.5.2 Electric UAV BHM Application / 161
7.5.3 Model 2: Logarithmic Approximation to Butler-Volmer
Equation /163
7.5.4 Model 3: Factoring in Parameter Dependence on Load
Current /164
7.6 Decision Making for Optimizing Batteiy Use /167
7.6.1 Stochastic Programming for Optimizing Battery Life /168
7.6.2 Optimization Strategy / 170
7.7 Summary / 171
References /172
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
8.2.1 Battery Models / 177
8.2.2 Battery SOC and SOH Estimation / 182
8.3 Battery Prognostics / 186
8.3.1 Prognosis Algorithms / 186
8.3.2 Prognosis of Battery SOC and SOH / 188
8.4 Uncertainty Management /195
8.4.1 Model and Parameter Uncertainties / 196
8.4.2 Battery Performance Estimation Under Uncertainties / 197
8.4.3 Case Study of Battery SOC Estimation Under
Uncertainty /199
8.5 Summary / 207
References / 208
X
CONTENTS
9 LITHIUM-ION BATTERY REMAINING USEFUL LIFE
ESTIMATION BASED ON ENSEMBLE LEARNING
WITH LS-SVM ALGORITHM
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
9.3.1 Data Collection and Preprocessing / 221
9.3.2 Input Vector Construction and Hyperparameter
Determination / 221
9.3.3 LS-SVM Ensemble Learning Model Construction and
Prediction / 223
9.3.4 Uncertainty Representation of RUL Prediction / 223
9.3.5 Performance Evaluation of RUL Prediction
Algorithm / 223
9.4 Experiment Verification and Analysis / 224
9.4.1 Experimental Setting / 224
9.4.2 Experimental Results and Comparative Analysis / 224
9.5 Conclusion / 226
References / 229
10 DATA-DRIVEN PROGNOSTICS FOR BATTERIES
SUBJECT TO HARD FAILURE
Qiang Zhou, Jianing Man, and Junbo Son
10.1 Introduction / 233
10.2 The Prognostic Model / 236
10.2.1 Assumptions and the Prognostic Framework / 236
10.2.2 Modeling / 236
10.2.3 Model Parameter Estimation / 238
10.2.4 Estimating the Survival Function of an In-service
Battery / 239
10.2.5 Prognostics for an In-service Battery / 241
10.2.6 Extension to Degradation with a Change Point / 243
10.3 Simulation Study / 245
10.4 Summary /251
References / 252
CONTENTS Xi
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
11.2.1 Passive Equalization / 258
11.2.2 Series Active Equalization / 259
11.2.3 Parallel Active Equalization / 259
11.2.4 Switched-Capacitor Equalization / 260
11.2.5 Transformer-Based Equalization / 261
11.2.6 Modularized Charge Equalization /261
11.2.7 Other Equalizer Topologies / 262
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
11.5.1 Converter Controller Design / 269
11.5.2 Battery Monitoring / 270
11.5.3 Communication / 270
11.5.4 Control and Communication of the Proposed
Architecture /270
11.6 Tested System Description / 270
11.7 Functional Performance Evaluation /273
11.8 Conclusion / 276
References / 277
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
12.2.1 Circuit Analysis-based Modeling / 283
12.2.2 System Analysis-based Modeling / 285
12.2.3 Computer Simulation-based Modeling / 288
12.2.4 Future Topics / 288
Xli CONTENTS
12.3 Performance Evaluation of Battery Equalization Systems / 289
12.3.1 Circuit Analysis-based Approach / 289
12.3.2 System Analysis-based Approach / 290
12.3.3 Hardware Experiment and Computer Simulation / 291
12.3.4 Future Topics / 292
12.4 Control Strategies for Battery Equalization Systems / 292
12.4.1 Functionality-based Simple Control / 292
12.4.2 Heuristics-based Control / 294
12.4.3 Fuzzy Logic-based Control / 294
12.4.4 Model Predictive Control / 295
12.4.5 Optimal Control / 296
12.4.6 Future Topics / 296
12.5 Summary / 297
References / 298
13 REVIEW OF STRUCTURES AND CONTROL OF BATTERY-
SUPERCAPACITOR HYBRID ENERGY STORAGE SYSTEM
FOR ELECTRIC VEHICLES
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
13.4.1 Passive HESS / 308
13.4.2 Active HESS / 309
13.5 Control Strategy for HESS / 312
13.5.1 Control without Demand Prediction /312
13.5.2 Control with Demand Prediction / 313
13.6 Conclusions /315
References / 315
14 POWER MANAGEMENT CONTROL STRATEGY OF
BATTERY-SUPERCAPACITOR HYBRID ENERGY
STORAGE SYSTEM USED IN ELECTRIC VEHICLES
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
14.3.1 Modeling of Battery and Supercapacitor / 324
303
319
CONTENTS Xlii
14.3.2 Time Domain Control / 327
14.3.3 Frequency Domain Control / 336
14.3.4 Integrated Power Management Strategy / 339
14.4 Conclusions / 350
References /351
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
15.8.1 Direct and Indirect Subsidies / 370
15.8.2 ZEV Program / 371
15.8.3 Utility Incentives / 372
15.8.4 Fleet Vouchers / 372
15.8.5 Manufacturers’ Incentives / 372
15.8.6 Research and Development / 373
15.8.7 Dealer Franchise Policies / 373
15.9 Prospects for Growth /373
15.9.1 Battery Cost / 373
15.9.2 Vehicle Cost / 374
15.9.3 Charging / 374
15.9.4 Range / 374
15.9.5 Price of Gasoline / 374
15.9.6 Battery Safety Issues / 375
15.9.7 Advanced Technology Use in Gasoline Vehicles / 375
15.9.8 Other Government Subsidies /376
15.10 Conclusion / 376
Acknowledgment / 376
References /376
INDEX
381
Addresses the methodology and theoretical foundation of
battery manufacturing, service, and management systems
(BM2S2), and discusses the issues and challenges in these areas
This book brings together experts in the held to highlight the cutting edge research advances in BM:S?
and to promote an innovative integrated research framework responding to the challenges. There are
three major parts included in this book: manufacturing, service, and management. The first part focuses
on battery manufacturing systems, including modeling, analysis, design and control, as well as economic
and risk analyses. The second part focuses on information technology’s impact on service systems, such as
data-driven reliability modeling, failure prognosis, and service decision-making methodologies for battery
services. The third part addresses battery management systems (BMS) for control and optimization of battery
cells, operations, and hybrid storage systems to ensure overall performance and safety, as well as electric
vehicle (KV) management. The contributors consist of experts from universities, industry research centers,
and government agency. In addition, this book:
• Provides comprehensive overviews of lithium-ion battery and battery electrical
vehicle manufacturing, as well as economic returns and government support
• introduces integrated models for quality propagation and productivity
improvement, as well as indicators for bottleneck identification and mitigation in
battery manufacturing
• Covers models and diagnosis algorithms for battery state of charge (SOC) and state
of health (SOH) estimation, data-driven prognosis algorithms for predicting the
remaining useful life (RUL) of battery SOC and SOH
• Presents mathematical models and novel structure of battery equalizers in battery
management systems
• Reviews the state of the art of battery, supercapacitor, and battery-supercapacitor
hybrid energy storage systems (HESSs) for advanced electric vehicle applications
Advances in Battery Manufacturing, Services, and Management Systems is written for researchers
and engineers working on battery manufacturing, service, operations, logistics, and management.
It can also serve as a reference for senior undergraduate and graduate students interested in BMPS’.
JINGSHAN LI is a Professor in the Department of Industrial and Systems Engineering at the University
of Wisconsin-Madison, USA. He received his PhD in Electrical Engineering - Systems at the University
of Michigan, USA.
SHI YU ZHOU is a Professor in the Department of Industrial and Systems Engineering at the University
of Wisconsin-Madison, USA. He received his PhD in Mechanical Engineering at the University of
Michigan, USA.
YEHUI HAN is an Assistant Professor in the Department of Electrical and Computer Engineering
at the University of Wisconsin-Madison, USA. He received his PhD in Electrical Engineering at the
Massachusetts institute of Technology USA.
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| genre | (DE-588)4143413-4 Aufsatzsammlung gnd-content |
| genre_facet | Aufsatzsammlung |
| id | DE-604.BV043817696 |
| illustrated | Illustrated |
| indexdate | 2024-07-10T07:35:53Z |
| institution | BVB |
| isbn | 1119056497 9781119056492 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-029228785 |
| oclc_num | 971259089 |
| open_access_boolean | |
| owner | DE-703 DE-1102 DE-83 |
| owner_facet | DE-703 DE-1102 DE-83 |
| physical | xx, 385 Seiten Illustrationen, Diagramme |
| publishDate | 2017 |
| publishDateSearch | 2017 |
| publishDateSort | 2017 |
| publisher | Wiley |
| record_format | marc |
| series | IEEE Press series on systems science and engineering |
| series2 | IEEE Press series on systems science and engineering |
| spelling | Advances in battery manufacturing, service, and management systems edited by Jingshan Li, Shiyu Zhou, Yehui Han Hoboken, New Jersey Wiley [2017] xx, 385 Seiten Illustrationen, Diagramme txt rdacontent n rdamedia nc rdacarrier IEEE Press series on systems science and engineering 11 Energieumwandlung (DE-588)4014730-7 gnd rswk-swf Systementwicklung (DE-588)4126945-7 gnd rswk-swf Elektrochemische Energiequelle (DE-588)4151755-6 gnd rswk-swf Systementwurf (DE-588)4261480-6 gnd rswk-swf Energiespeicherung (DE-588)4014722-8 gnd rswk-swf Energiemanagement (DE-588)4124833-8 gnd rswk-swf Betriebsverhalten (DE-588)4138142-7 gnd rswk-swf Herstellung (DE-588)4159653-5 gnd rswk-swf Elektrochemische Energietechnik (DE-588)4151756-8 gnd rswk-swf Batterie (DE-588)4004687-4 gnd rswk-swf Management (DE-588)4037278-9 gnd rswk-swf (DE-588)4143413-4 Aufsatzsammlung gnd-content Batterie (DE-588)4004687-4 s Energiespeicherung (DE-588)4014722-8 s Systementwurf (DE-588)4261480-6 s DE-604 Betriebsverhalten (DE-588)4138142-7 s Systementwicklung (DE-588)4126945-7 s Energiemanagement (DE-588)4124833-8 s Elektrochemische Energiequelle (DE-588)4151755-6 s Elektrochemische Energietechnik (DE-588)4151756-8 s Energieumwandlung (DE-588)4014730-7 s Herstellung (DE-588)4159653-5 s Management (DE-588)4037278-9 s Li, Jingshan (DE-588)137038488 edt Zhou, Shiyu 1970- Sonstige (DE-588)141611294 oth Han, Yehui Sonstige oth IEEE Press series on systems science and engineering 11 (DE-604)BV044288701 11 Digitalisierung UB Bayreuth - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=029228785&sequence=000003&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis Digitalisierung UB Bayreuth - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=029228785&sequence=000004&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA Klappentext |
| spellingShingle | Advances in battery manufacturing, service, and management systems IEEE Press series on systems science and engineering Energieumwandlung (DE-588)4014730-7 gnd Systementwicklung (DE-588)4126945-7 gnd Elektrochemische Energiequelle (DE-588)4151755-6 gnd Systementwurf (DE-588)4261480-6 gnd Energiespeicherung (DE-588)4014722-8 gnd Energiemanagement (DE-588)4124833-8 gnd Betriebsverhalten (DE-588)4138142-7 gnd Herstellung (DE-588)4159653-5 gnd Elektrochemische Energietechnik (DE-588)4151756-8 gnd Batterie (DE-588)4004687-4 gnd Management (DE-588)4037278-9 gnd |
| subject_GND | (DE-588)4014730-7 (DE-588)4126945-7 (DE-588)4151755-6 (DE-588)4261480-6 (DE-588)4014722-8 (DE-588)4124833-8 (DE-588)4138142-7 (DE-588)4159653-5 (DE-588)4151756-8 (DE-588)4004687-4 (DE-588)4037278-9 (DE-588)4143413-4 |
| title | Advances in battery manufacturing, service, and management systems |
| title_auth | Advances in battery manufacturing, service, and management systems |
| title_exact_search | Advances in battery manufacturing, service, and management systems |
| title_full | Advances in battery manufacturing, service, and management systems edited by Jingshan Li, Shiyu Zhou, Yehui Han |
| title_fullStr | Advances in battery manufacturing, service, and management systems edited by Jingshan Li, Shiyu Zhou, Yehui Han |
| title_full_unstemmed | Advances in battery manufacturing, service, and management systems edited by Jingshan Li, Shiyu Zhou, Yehui Han |
| title_short | Advances in battery manufacturing, service, and management systems |
| title_sort | advances in battery manufacturing service and management systems |
| topic | Energieumwandlung (DE-588)4014730-7 gnd Systementwicklung (DE-588)4126945-7 gnd Elektrochemische Energiequelle (DE-588)4151755-6 gnd Systementwurf (DE-588)4261480-6 gnd Energiespeicherung (DE-588)4014722-8 gnd Energiemanagement (DE-588)4124833-8 gnd Betriebsverhalten (DE-588)4138142-7 gnd Herstellung (DE-588)4159653-5 gnd Elektrochemische Energietechnik (DE-588)4151756-8 gnd Batterie (DE-588)4004687-4 gnd Management (DE-588)4037278-9 gnd |
| topic_facet | Energieumwandlung Systementwicklung Elektrochemische Energiequelle Systementwurf Energiespeicherung Energiemanagement Betriebsverhalten Herstellung Elektrochemische Energietechnik Batterie Management Aufsatzsammlung |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=029228785&sequence=000003&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=029228785&sequence=000004&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA |
| volume_link | (DE-604)BV044288701 |
| work_keys_str_mv | AT lijingshan advancesinbatterymanufacturingserviceandmanagementsystems AT zhoushiyu advancesinbatterymanufacturingserviceandmanagementsystems AT hanyehui advancesinbatterymanufacturingserviceandmanagementsystems |