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.
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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.
Introducing a complete set of tools for building successful hybrid vehicle systems
With design techniques for hybrid vehicles advancing at a rapid pace, engineers are increasingly looking for rigorous methods for solving hybrid vehicle modeling and control problems. Addressing these developments, this book introduces a systematic, self-contained treatment of all major aspects of modeling, control, simulation, performance analysis, and design. In addition to information on system configuration and main components, it also details their characteristics and mathematical models.
With a strong emphasis on modeling, controls, and algorithm implementation, the book includes a wealth of figures and examples drawn from the author's years of hands-on experience working with real-world hybrid vehicle systems. Complete with appendices outlining essential modeling and parameter estimation techniques as well as advanced control techniques, this book features:
Introduction to Hybrid Vehicle System Modeling and Control arms engineers with the tools to tackle technical challenges in the field, develop algorithms, and leverage cutting-edge techniques for building successful, high-performance hybrid vehicle systems.
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