Advanced battery management technologies for electric vehicles / (Record no. 68980)

000 -LEADER
fixed length control field 07417cam a2200649 i 4500
001 - CONTROL NUMBER
control field on1055571248
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220711203449.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 180926s2019 njua ob 001 0deng
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 1119481678
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9781119481683
-- electronic publication
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 1119481686
-- electronic publication
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9781119481652
-- electronic book
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 1119481651
-- electronic book
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9781119481676
-- electronic book
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
-- hardcover
029 1# - (OCLC)
OCLC library identifier AU@
System control number 000064050865
029 1# - (OCLC)
OCLC library identifier CHVBK
System control number 559026609
029 1# - (OCLC)
OCLC library identifier CHNEW
System control number 001039197
082 00 - CLASSIFICATION NUMBER
Call Number 629.25/024
100 1# - AUTHOR NAME
Author Xiong, Rui,
245 10 - TITLE STATEMENT
Title Advanced battery management technologies for electric vehicles /
300 ## - PHYSICAL DESCRIPTION
Number of Pages 1 online resource (xxii, 257 pages) :
490 1# - SERIES STATEMENT
Series statement Automotive series
505 0# - FORMATTED CONTENTS NOTE
Remark 2 Cover; 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# - FORMATTED CONTENTS NOTE
Remark 2 1.4.3.2 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# - FORMATTED CONTENTS NOTE
Remark 2 1.6.4 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# - FORMATTED CONTENTS NOTE
Remark 2 2.7.2 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# - FORMATTED CONTENTS NOTE
Remark 2 3.3.2 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 ## - SUMMARY, ETC.
Summary, etc A 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.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
General subdivision Batteries.
650 #7 - SUBJECT ADDED ENTRY--SUBJECT 1
General subdivision Batteries.
700 1# - AUTHOR 2
Author 2 Shen, Weixiang,
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://doi.org/10.1002/9781119481652
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- Hoboken, NJ :
-- John Wiley & Sons, Inc.,
-- 2019.
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-- text
-- txt
-- rdacontent
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-- still image
-- sti
-- rdacontent
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-- computer
-- c
-- rdamedia
338 ## -
-- online resource
-- cr
-- rdacarrier
588 ## -
-- Description based on online resource; title from digital title page (viewed on February 04, 2019).
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Electric vehicles
650 #7 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Electric vehicles
-- (OCoLC)fst00906130
650 #7 - SUBJECT ADDED ENTRY--SUBJECT 1
-- TECHNOLOGY & ENGINEERING / Engineering (General)
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-- C0
-- DG1

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