LEADER 05621nam 2200721 450 001 9910132273803321 005 20200520144314.0 010 $a1-118-41481-0 010 $a1-118-41479-9 010 $a1-118-41480-2 035 $a(CKB)3710000000366173 035 $a(EBL)1969030 035 $a(OCoLC)904407679 035 $a(SSID)ssj0001436791 035 $a(PQKBManifestationID)12613253 035 $a(PQKBTitleCode)TC0001436791 035 $a(PQKBWorkID)11443589 035 $a(PQKB)10681322 035 $a(PQKBManifestationID)16048687 035 $a(PQKB)23092012 035 $a(DLC) 2014048893 035 $a(Au-PeEL)EBL1969030 035 $a(CaPaEBR)ebr11026079 035 $a(CaONFJC)MIL769999 035 $a(OCoLC)898334475 035 $a(CaSebORM)9781118414781 035 $a(MiAaPQ)EBC1969030 035 $a(EXLCZ)993710000000366173 100 $a20150310h20152015 uy 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt 182 $cc 183 $acr 200 10$aFundamentals and applications of lithium-ion batteries in electric drive vehicles /$fJiuchun Jiang and Caiping Zhang 205 $a1st edition 210 1$aSingapore :$cJohn Wiley & Sons Inc.,$d2015. 210 4$dİ2015 215 $a1 online resource (299 p.) 300 $aDescription based upon print version of record. 311 $a1-118-41478-0 320 $aIncludes bibliographical references and index. 327 $aTitle Page; Copyright; Contents; About the Authors; Foreword; Preface; Chapter 1 Introduction; 1.1 The Development of Batteries in Electric Drive Vehicles; 1.1.1 The Goals; 1.1.2 Trends in Development of the Batteries; 1.1.3 Application Issues of LIBs; 1.1.4 Significance of Battery Management Technology; 1.2 Development of Battery Management Technologies; 1.2.1 No Management; 1.2.2 Simple Management; 1.2.3 Comprehensive Management; 1.3 BMS Key Technologies; References; Chapter 2 Performance Modeling of Lithium-ion Batteries; 2.1 Reaction Mechanism of Lithium-ion Batteries 327 $a2.2 Testing the Characteristics of Lithium-ion Batteries 2.2.1 Rate Discharge Characteristics; 2.2.2 Charge and Discharge Characteristics Under Operating Conditions; 2.2.3 Impact of Temperature on Capacity; 2.2.4 Self-Discharge; 2.3 Battery Modeling Method; 2.3.1 Equivalent Circuit Model; 2.3.2 Electrochemical Model; 2.3.3 Neural Network Model; 2.4 Simulation and Comparison of Equivalent Circuit Models; 2.4.1 Model Parameters Identification Principle; 2.4.2 Implementation Steps of Parameter Identification; 2.4.3 Comparison of Simulation of Three Equivalent Circuit Models 327 $a2.5 Battery Modeling Method Based on a Battery Discharging Curve 2.6 Battery Pack Modeling; 2.6.1 Battery Pack Modeling; 2.6.2 Simulation of Battery Pack Model; References; Chapter 3 Battery State Estimation; 3.1 Definition of SOC; 3.1.1 The Maximum Available Capacity; 3.1.2 Definition of Single Cell SOC; 3.1.3 Definition of the SOC of Series Batteries; 3.2 Discussion on the Estimation of the SOC of a Battery; 3.2.1 Load Voltage Detection; 3.2.2 Electromotive Force Method; 3.2.3 Resistance Method; 3.2.4 Ampere-hour Counting Method; 3.2.5 Kalman Filter Method; 3.2.6 Neural Network Method 327 $a3.2.7 Adaptive Neuro-Fuzzy Inference System 3.2.8 Support Vector Machines; 3.3 Battery SOC Estimation Algorithm Application; 3.3.1 The SOC Estimation of a PEV Power Battery; 3.3.2 Power Battery SOC Estimation for Hybrid Vehicles; 3.4 Definition and Estimation of the Battery SOE; 3.4.1 Definition of the Single Battery SOE; 3.4.2 SOE Definition of the Battery Groups; 3.5 Method for Estimation of the Battery Group SOE and the Remaining Energy; 3.6 Method of Estimation of the Actual Available Energy of the Battery; References; Chapter 4 The Prediction of Battery Pack Peak Power 327 $a4.1 Definition of Peak Power 4.1.1 Peak Power Capability of Batteries; 4.1.2 Battery Power Density; 4.1.3 State of Function of Batteries; 4.2 Methods for Testing Peak Power; 4.2.1 Test Methods Developed by Americans; 4.2.2 The Test Method of Japan; 4.2.3 The Chinese Standard Test Method; 4.2.4 The Constant Power Test Method; 4.2.5 Comparison of the Above-Mentioned Testing Methods; 4.3 Peak Power; 4.3.1 The Relation between Peak Power and Temperature; 4.3.2 The Relation between Peak Power and SOC; 4.3.3 Relationship between Peak Power and Ohmic Internal Resistance 327 $a4.4 Available Power of the Battery Pack 330 $aA theoretical and technical guide to the electric vehicle lithium-ion battery management system Covers the timely topic of battery management systems for lithium batteries. After introducing the problem and basic background theory, it discusses battery modeling and state estimation. In addition to theoretical modeling it also contains practical information on charging and discharging control technology, cell equalisation and application to electric vehicles, and a discussion of the key technologies and research methods of the lithium-ion power battery management system. The author systematically 606 $aElectric vehicles$xBatteries 606 $aLithium ion batteries 615 0$aElectric vehicles$xBatteries. 615 0$aLithium ion batteries. 676 $a629.25/02 700 $aJiang$b Jiuchun$0996685 702 $aZhang$b Caiping 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910132273803321 996 $aFundamentals and applications of lithium-ion batteries in electric drive vehicles$92285159 997 $aUNINA