Fundamentals and applications of lithium-ion batteries in electric drive vehicles
A 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...
| Otros Autores: | , |
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| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Singapore :
John Wiley & Sons Inc
2015.
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| Edición: | 1st edition |
| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009630020306719 |
Tabla de Contenidos:
- Title 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
- 2.2 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
- 2.5 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
- 3.2.7 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
- 4.1 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
- 4.4 Available Power of the Battery Pack
