000 | 07417cam a2200649 i 4500 | ||
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001 | on1055571248 | ||
003 | OCoLC | ||
005 | 20220711203449.0 | ||
006 | m o d | ||
007 | cr ||||||||||| | ||
008 | 180926s2019 njua ob 001 0deng | ||
010 | _a 2018046237 | ||
040 |
_aDLC _beng _erda _cDLC _dOCLCO _dOCLCF _dDG1 _dN$T _dYDX _dEBLCP _dRECBK _dYDX _dMERER _dOCLCQ |
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020 | _a1119481678 | ||
020 |
_a9781119481683 _qelectronic publication |
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_a1119481686 _qelectronic publication |
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_a9781119481652 _qelectronic book |
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_a1119481651 _qelectronic book |
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_a9781119481676 _qelectronic book |
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020 |
_z9781119481645 _qhardcover |
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029 | 1 |
_aAU@ _b000064050865 |
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029 | 1 |
_aCHVBK _b559026609 |
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029 | 1 |
_aCHNEW _b001039197 |
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035 | _a(OCoLC)1055571248 | ||
042 | _apcc | ||
050 | 0 | 4 |
_aTL220 _b.X56 2019 |
072 | 7 |
_aTEC _x009000 _2bisacsh |
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082 | 0 | 0 |
_a629.25/024 _223 |
049 | _aMAIN | ||
100 | 1 |
_aXiong, Rui, _eauthor. _97923 |
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245 | 1 | 0 |
_aAdvanced battery management technologies for electric vehicles / _cRui Xiong, Beijing Institute of Technology, China, Weixiang Shen, Swinburne University of Technology, Australia. |
264 | 1 |
_aHoboken, NJ : _bJohn Wiley & Sons, Inc., _c2019. |
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300 |
_a1 online resource (xxii, 257 pages) : _billustrations (some color). |
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336 |
_atext _btxt _2rdacontent |
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336 |
_astill image _bsti _2rdacontent |
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_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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490 | 1 | _aAutomotive series | |
504 | _aIncludes bibliographical references and index. | ||
505 | 0 | _aCover; Title Page; Copyright; Contents; Biographies; Foreword by Professor Sun; Foreword by Professor Ouyang; Series Preface; Preface; Chapter 1 Introduction; 1.1 Background; 1.2 Electric Vehicle Fundamentals; 1.3 Requirements for Battery Systems in Electric Vehicles; 1.3.1 Range Per Charge; 1.3.2 Acceleration Rate; 1.3.3 Maximum Speed; 1.4 Battery Systems; 1.4.1 Introduction to Electrochemistry of Battery Cells; 1.4.1.1 Ohmic Overvoltage Drop; 1.4.1.2 Activation Overvoltage; 1.4.1.3 Concentration Overvoltage; 1.4.2 Lead-Acid Batteries; 1.4.3 NiCd and NiMH Batteries; 1.4.3.1 NiCd Batteries | |
505 | 8 | _a1.4.3.2 NiMH Batteries1.4.4 Lithium-Ion Batteries; 1.4.5 Battery Performance Comparison; 1.4.5.1 Nominal Voltage; 1.4.5.2 Specific Energy and Energy Density; 1.4.5.3 Capacity Efficiency and Energy Efficiency; 1.4.5.4 Specific Power and Power Density; 1.4.5.5 Self-discharge; 1.4.5.6 Cycle Life; 1.4.5.7 Temperature Operation Range; 1.5 Key Battery Management Technologies; 1.5.1 Battery Modeling; 1.5.2 Battery States Estimation; 1.5.3 Battery Charging; 1.5.4 Battery Balancing; 1.6 Battery Management Systems; 1.6.1 Hardware of BMS; 1.6.2 Software of BMS; 1.6.3 Centralized BMS | |
505 | 8 | _a1.6.4 Distributed BMS1.7 Summary; References; Chapter 2 Battery Modeling; 2.1 Background; 2.2 Electrochemical Models; 2.3 Black Box Models; 2.4 Equivalent Circuit Models; 2.4.1 General n-RC Model; 2.4.2 Models with Different Numbers of RC Networks; 2.4.2.1 Rint Model; 2.4.2.2 Thevenin Model; 2.4.2.3 Dual Polarization Model; 2.4.2.4 n-RC Model; 2.4.3 Open Circuit Voltage; 2.4.4 Polarization Characteristics; 2.5 Experiments; 2.6 Parameter Identification Methods; 2.6.1 Offline Parameter Identification Method; 2.6.2 Online Parameter Identification Method; 2.7 Case Study; 2.7.1 Testing Data | |
505 | 8 | _a2.7.2 Case One -- OFFPIM Application2.7.3 Case Two -- ONPIM Application; 2.7.4 Discussions; 2.8 Model Uncertainties; 2.8.1 Battery Aging; 2.8.2 Battery Type; 2.8.3 Battery Temperature; 2.9 Other Battery Models; 2.10 Summary; References; Chapter 3 Battery State of Charge and State of Energy Estimation; 3.1 Background; 3.2 Classification; 3.2.1 Look-Up-Table-Based Method; 3.2.2 Ampere-Hour Integral Method; 3.2.3 Data-Driven Estimation Methods; 3.2.4 Model-Based Estimation Methods; 3.3 Model-Based SOC Estimation Method with Constant Model Parameters; 3.3.1 Discrete-Time Realization Algorithm | |
505 | 8 | _a3.3.2 Extended Kalman Filter3.3.2.1 Selection of Correction Coefficients; 3.3.2.2 SOC Estimation Based on EKF; 3.3.3 SOC Estimation Based on HIF; 3.3.4 Case Study; 3.3.5 Influence of Uncertainties on SOC Estimation; 3.3.5.1 Initial SOC Value; 3.3.5.2 Dynamic Working Condition; 3.3.5.3 Battery Temperature; 3.4 Model-Based SOC Estimation Method with Identified Model Parameters in Real-Time; 3.4.1 Real-Time Modeling Process; 3.4.2 Case Study; 3.5 Model-Based SOE Estimation Method with Identified Model Parameters in Real-Time; 3.5.1 SOE Definition; 3.5.2 State Space Modeling; 3.5.3 Case Study | |
520 | _aA comprehensive examination of advanced battery management technologies and practices in modern electric vehicles Policies surrounding energy sustainability and environmental impact have become of increasing interest to governments, industries, and the general public worldwide. Policies embracing strategies that reduce fossil fuel dependency and greenhouse gas emissions have driven the widespread adoption of electric vehicles (EVs), including hybrid electric vehicles (HEVs), pure electric vehicles (PEVs) and plug-in electric vehicles (PHEVs). Battery management systems (BMSs) are crucial components of such vehicles, protecting a battery system from operating outside its Safe Operating Area (SOA), monitoring its working conditions, calculating and reporting its states, and charging and balancing the battery system. Advanced Battery Management Technologies for Electric Vehicles is a compilation of contemporary model-based state estimation methods and battery charging and balancing techniques, providing readers with practical knowledge of both fundamental concepts and practical applications. This timely and highly-relevant text covers essential areas such as battery modeling and battery state of charge, energy, health and power estimation methods. Clear and accurate background information, relevant case studies, chapter summaries, and reference citations help readers to fully comprehend each topic in a practical context. -Offers up-to-date coverage of modern battery management technology and practice -Provides case studies of real-world engineering applications -Guides readers from electric vehicle fundamentals to advanced battery management topics -Includes chapter introductions and summaries, case studies, and color charts, graphs, and illustrations Suitable for advanced undergraduate and graduate coursework, Advanced Battery Management Technologies for Electric Vehicles is equally valuable as a reference for professional researchers and engineers. | ||
588 | _aDescription based on online resource; title from digital title page (viewed on February 04, 2019). | ||
650 | 0 |
_aElectric vehicles _xBatteries. _97924 |
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650 | 7 |
_aElectric vehicles _xBatteries. _2fast _0(OCoLC)fst00906130 _97924 |
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650 | 7 |
_aTECHNOLOGY & ENGINEERING / Engineering (General) _2bisacsh _97925 |
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655 | 4 |
_aElectronic books. _93294 |
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700 | 1 |
_aShen, Weixiang, _eauthor. _97926 |
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776 | 0 | 8 |
_iPrint version: _aXiong, Rui, author. _tAdvanced battery management technologies for electric vehicles _dHoboken, NJ : John Wiley & Sons, Inc., [2018] _z9781119481645 _w(DLC) 2018044881 |
830 | 0 |
_aAutomotive series (Wiley) _97520 |
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856 | 4 | 0 |
_uhttps://doi.org/10.1002/9781119481652 _zWiley Online Library |
942 | _cEBK | ||
994 |
_aC0 _bDG1 |
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999 |
_c68980 _d68980 |