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Introduction to Hybrid Vehicle System Modeling and Control

Book Description

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.

Table of Contents

  1. Cover
  2. Title Page
  3. Copyright
  4. Dedication
  5. Preface
  6. Nomenclature
  7. Abbreviations
  8. Chapter 1: Introduction
    1. 1.1 General architectures of hybrid electric vehicle
    2. 1.2 Hybrid vehicle system components
    3. 1.3 Hybrid vehicle system analysis
    4. 1.4 Controls of hybrid vehicle
    5. References
  9. Chapter 2: Basic Components of Hybrid Vehicle
    1. 2.1 Prime mover
    2. 2.2 Electric motor with DC/DC converter and DC/AC inverter
    3. 2.3 Energy storage system
    4. 2.4 Transmission system in hybrid vehicle
    5. References
  10. Chapter 3: Hybrid Vehicle System Modeling
    1. 3.1 Modeling of internal combustion engine
    2. 3.2 Modeling of electric motor
    3. 3.3 Modeling of battery system
    4. 3.4 Modeling of transmission system
    5. 3.5 Modeling of final drive and wheel
    6. 3.6 Modeling of vehicle body
    7. 3.7 PID-based driver model
    8. References
  11. Chapter 4: Power Electronics and Electric Motor Drives of Hybrid Vehicle
    1. 4.1 Basic power electronic devices
    2. 4.2 DC/DC converter
    3. 4.3 DC–AC Inverter
    4. 4.4 Electric Motor Drives
    5. 4.5 Plug-In Battery Charger Design
    6. References
  12. Chapter 5: Energy Storage System Modeling and Control
    1. 5.1 Introduction
    2. 5.2 Methods of determining state of charge
    3. 5.3 Estimation of battery power availability
    4. 5.4 Battery Life Prediction
    5. 5.5 Cell balancing
    6. 5.6 Estimation of cell core temperature
    7. 5.7 Battery system efficiency
    8. References
  13. Chapter 6: Energy Management Strategies of Hybrid Vehicle
    1. 6.1 Introduction
    2. 6.2 Rule-based energy management strategy
    3. 6.3 Fuzzy logic–based energy management strategy
    4. 6.4 Determination of optimal ICE operating points of hybrid vehicle
    5. 6.5 Cost function–based optimal energy management strategy
    6. 6.6 Optimal energy management strategy incorporated with cycle pattern recognition
    7. References
  14. Chapter 7: Other Hybrid Vehicle Control Problems
    1. 7.1 Basics of internal combustion engine control
    2. 7.2 Engine torque fluctuation dumping control through electric motor
    3. 7.3 High-voltage bus spike control
    4. 7.4 Thermal control of HEV battery system
    5. 7.5 HEV/EV traction motor control
    6. 7.6 Active suspension control of HEV/EV systems
    7. References
  15. Chapter 8: Plug-In Charging Characteristics, Algorithm, and Impact on Power Distribution System
    1. 8.1 Introduction
    2. 8.2 Plug-in hybrid vehicle battery system and charging characteristics
    3. 8.3 Impacts of plug-in charging on electricity network
    4. 8.4 optimal plug-in charging strategy
    5. References
  16. Chapter 9: Hybrid Vehicle Design and Performance Analysis
    1. 9.1 Hybrid vehicle simulation system
    2. 9.2 Typical test driving cycles
    3. 9.3 Sizing components and drivability analysis
    4. 9.4 Fuel economy and emissions simulation calculations
    5. References
  17. Appendix A: System Identification: State and Parameter Estimation Techniques
    1. A.1 Dynamic systems and mathematical models
    2. A.2 Parameter Estimation of Dynamic Systems
    3. A.3 State estimation of dynamic systems
    4. A.4 Joint state and parameter estimation of dynamic systems
    5. A.5 Enhancement of numerical stability of parameter and state estimation
    6. A.6 Modeling and parameter identification
    7. References
  18. Appendix B: Advanced Dynamic System Control Techniques
    1. B.1 pole placement of control system
    2. B.2 Optimal control
    3. B.3 Stochastic and adaptive control
    4. B.4 Fault-tolerant control
    5. References
  19. Index