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More About This Title Introduction to Hybrid Vehicle System Modeling and Control
English
This is an engineering reference book on hybrid vehicle system analysis and design, an outgrowth of the author's substantial work in research, development and production at the National Research Council Canada, Azure Dynamics and now General Motors. It is an irreplaceable tool for helping engineers develop algorithms and gain a thorough understanding of hybrid vehicle systems. This book covers all the major aspects of hybrid vehicle modeling, control, simulation, performance analysis and preliminary design. It not only systemically provides the basic knowledge of hybrid vehicle system configuration and main components, but also details their characteristics and mathematic models.
- Provides valuable technical expertise necessary for building hybrid vehicle system and analyzing performance via drivability, fuel economy and emissions
- Built from the author's industry experience at major vehicle companies including General Motors and Azure Dynamics Inc.
- Offers algorithm implementations and figures/examples extracted from actual practice systems
- Suitable for a training course on hybrid vehicle system development with supplemental materials
An essential resource enabling hybrid development and design engineers to understand the hybrid vehicle systems necessary for control algorithm design and developments.
English
WEI (KEVIN) LIU, PhD, is an Engineering Specialist at General Motors. He has twelve years of hybrid electric vehicle engineering experience and fifteen years of academic experience.
English
Preface xv
Nomenclature xix
Abbreviations xxv
1 Introduction 1
1.1 General Architectures of Hybrid Electric Vehicle 2
1.2 Hybrid Vehicle System Components 5
1.4 Controls of Hybrid Vehicle 8
References 10
2 Basic Components of Hybrid Vehicle 11
2.1 Prime Mover 11
2.2 Electric Motor with DC/DC Converter and DC/AC Inverter 15
2.3 Energy Storage System 17
2.4 Transmission System in Hybrid Vehicle 24
References 24
3 Hybrid Vehicle System Modeling 25
3.1 Modeling of Internal Combustion Engine 25
3.2 Modeling of Electric Motor 32
3.3 Modeling of Battery System 37
3.4 Modeling of Transmission System 42
3.5 Modeling of Final Drive and Wheel 56
3.6 Modeling of Vehicle Body 58
3.7 PID-Based Driver Model 59
References 61
4 Power Electronics and Electric Motor Drives of Hybrid Vehicle 63
4.1 Basic Power Electronic Devices 63
4.2 DC/DC Converter 72
4.3 DC–AC Inverter 94
4.5 Plug-In Battery Charger Design 124
References 129
5 Energy Storage System Modeling and Control 131
5.1 Introduction 131
5.2 Methods of Determining State of Charge 133
5.3 Estimation of Battery Power Availability 154
5.4 Battery Life Prediction 165
5.5 Cell Balancing 180
5.6 Estimation of Cell Core Temperature 192
5.7 Battery System Efficiency 196
References 197
6 Energy Management Strategies of Hybrid Vehicle 199
6.1 Introduction 199
6.2 Rule-Based Energy Management Strategy 200
6.3 Fuzzy Logic–Based Energy Management Strategy 201
6.4 Determination of Optimal ICE Operating Points of Hybrid Vehicle 218
6.5 Cost Function–Based Optimal Energy Management Strategy 233
6.6 Optimal Energy Management Strategy Incorporated with Cycle Pattern Recognition 239
References 242
7 Other Hybrid Vehicle Control Problems 245
7.1 Basics of Internal Combustion Engine Control 245
7.2 Engine Torque Fluctuation Dumping Control Through Electric Motor 247
7.3 High-Voltage Bus Spike Control 253
7.4 Thermal Control of HEV Battery System 258
7.5 HEV/EV Traction Motor Control 265
7.6 Active Suspension Control of HEV/EV Systems 267
References 277
8 Plug-In Charging Characteristics, Algorithm, and Impact on Power Distribution System 279
8.1 Introduction 279
8.2 Plug-in Hybrid Vehicle Battery System and Charging Characteristics 280
8.3 Impacts of Plug-in Charging on Electricity Network 284
8.4 Optimal Plug-In Charging Strategy 289
References 298
9 Hybrid Vehicle Design and Performance Analysis 299
9.1 Hybrid Vehicle Simulation System 299
9.2 Typical Test Driving Cycles 300
9.3 Sizing Components and Drivability Analysis 306
9.4 Fuel Economy and Emissions Simulation Calculations 320
References 323
Appendix A System Identification: State and Parameter Estimation Techniques 325
A.3 State Estimation of Dynamic Systems 349
A.4 Joint State and Parameter Estimation of Dynamic Systems 351
A.5 Enhancement of Numerical Stability of Parameter and State Estimation 356
A.6 Modeling and Parameter Identification 361
References 363
Appendix B Advanced Dynamic System Control Techniques 365
B.1 Pole Placement of Control System 366
B.2 Optimal Control 371
B.3 Stochastic and Adaptive Control 381
B.4 Fault-Tolerant Control 392
References 395
Index 397
