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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
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_dMERER
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020 _a1119481678
020 _a9781119481683
_qelectronic publication
020 _a1119481686
_qelectronic publication
020 _a9781119481652
_qelectronic book
020 _a1119481651
_qelectronic book
020 _a9781119481676
_qelectronic book
020 _z9781119481645
_qhardcover
029 1 _aAU@
_b000064050865
029 1 _aCHVBK
_b559026609
029 1 _aCHNEW
_b001039197
035 _a(OCoLC)1055571248
042 _apcc
050 0 4 _aTL220
_b.X56 2019
072 7 _aTEC
_x009000
_2bisacsh
082 0 0 _a629.25/024
_223
049 _aMAIN
100 1 _aXiong, Rui,
_eauthor.
_97923
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.
300 _a1 online resource (xxii, 257 pages) :
_billustrations (some color).
336 _atext
_btxt
_2rdacontent
336 _astill image
_bsti
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
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
650 7 _aElectric vehicles
_xBatteries.
_2fast
_0(OCoLC)fst00906130
_97924
650 7 _aTECHNOLOGY & ENGINEERING / Engineering (General)
_2bisacsh
_97925
655 4 _aElectronic books.
_93294
700 1 _aShen, Weixiang,
_eauthor.
_97926
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
856 4 0 _uhttps://doi.org/10.1002/9781119481652
_zWiley Online Library
942 _cEBK
994 _aC0
_bDG1
999 _c68980
_d68980