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<p>Preface xv</p> <p>Contributors xix</p> <p><b>Part I Battery Manufacturing Systems</b></p> <p>1 Lithium-Ion Battery Manufacturing for Electric Vehicles: A Contemporary Overview 3<br /><i>Wayne Cai</i></p> <p>2 Improving Battery Manufacturing Through Quality and Productivity Bottleneck indicators 29<br /><i>Feng Ju, Jingshan Li, Guoxian Xiao, Ningjian Huang, Jorge Arinez, Stephan Biller, and Weiwen Deng</i></p> <p>3 Event-Based Modeling for Battery Manufacturing Systems Using Sensor Data 57<br /><i>Qing Chang, Yang Li, Stephan Biller, and Guoxian Xiao</i></p> <p>4 A Review on End-of-Life Battery Management: Challenges, Modeling, and Solution Methods 79<br /><i>Xiaoning Jin</i></p> <p>5 An Analytics Approach for incorporating Market Demand into Production Design and Operations Optimization 99<br /><i>Chris Johnson, Bahar Biller, Shanshan Wang, and Stephan Biller</i></p> <p><b>Part II Battery Service Systems</b></p> <p>6 Prognostic Classification Problem in Battery Health Management 129<br /><i>Junbo Son, Raed Kontar, and Shiyu Zhou</i></p> <p>7 A Bayesian Approach to Battery Prognostics and Health Management 151<br /><i>Bhaskar Saha</i></p> <p>8 Recent Research on Battery Diagnostics, Prognostics, and Uncertainty Management 175<br /><i>Zhimin Xi, Rong Jing, Cheol Lee, and Mushegh Hayrapetyan</i></p> <p>9 Lithium-Ion Battery Remaining Useful Life Estimation Based on Ensemble Learning With Ls-Svm Algorithm 217<br /><i>Yu Peng, Siyuan Lu, Wei Xie, Datong Liu, and Haitao Liao</i></p> <p>10 Data-Driven Prognostics for Batteries Subject to Hard Failure 233<br /><i>Qiang Zhou, Jianing Man, and Junbo Son</i></p> <p><b>Part III Battery Management Systems (BMS)</b></p> <p>11 Review of Battery Equalizers and introduction to the integrated Building Block Design of Distributed BMS 257<br /><i>Ye Li, Yehui Han, and Liang Zhang</i></p> <p>12 Mathematical Modeling, Performance Analysis and Control of Battery Equalization Systems: Review and Recent Developments 281<br /><i>Weiji Han, Liang Zhang, and Yehui Han</i></p> <p>13 Review of Structures and Control of Batterysupercapacitor Hybrid Energy Storage System for Electric Vehicles 303<br /><i>Feng Ju, Qiao Zhang, Weiwen Deng, and Jingshan Li</i></p> <p>14 Power Management Control Strategy of Battery-Supercapacitor Hybrid Energy Storage System Used in Electric Vehicles 319<br /><i>Qiao Zhang, Weiwen Deng, Jian Wu, Feng Ju, and Jingshan Li</i></p> <p>15 Federal and State incentives Heighten Consumer interest in Electric Vehicles 355<br /><i>William Canis</i></p> <p>index 381</p>

<p><b>JINGSHAN LI</b> 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.</p> <p><b>SHIYU ZHOU </b>is a Professor in the Department of Industrial and Systems Engineering at the Universityof Wisconsin-Madison, USA. He received his PhD in Mechanical Engineering at the University of Michigan, USA. <p><b>YEHUI HAN</b> 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.

<p><b>Addresses the methodology and theoretical foundation of battery manufacturing, service, and management systems (BM²S²), and discusses the issues and challenges in these areas</b></p> <p>The is book brings together experts in the field to highlight the cutting edge research advances in BM²S² 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 focuseson 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 electricvehicle (EV) management. The contributors consist of experts from universities, industry research centers, and government agency. In addition, this book: <ul><li>Provides comprehensive overviews of lithium-ion battery and battery electrical vehicle manufacturing, as well as economic returns and government support</li> <li>Introduces integrated models for quality propagation and productivity improvement, as well as indicators for bottleneck identification and mitigation in battery manufacturing</li> <li>Covers models and diagnosis algorithms for battery state of charge (SOC) and stateof health (SOH) estimation, data-driven prognosis algorithms for predicting the remaining useful life (RUL) of battery SOC and SOH</li> <li>Presents mathematical models and novel structure of battery equalizers in battery management systems</li> <li>Reviews the state of the art of battery, supercapacitor, and battery-supercapacitorhybrid energy storage systems (HESSs) for advanced electric vehicle applications </li></ul> <p><i>Advances in Battery Manufacturing, Services, and Management Systems </i>is written for researchersand 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 BM2S2.

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