Hybrid Electric Vehicles

Energy Management Strategies

  • Simona Onori
  • Lorenzo Serrao
  • Giorgio Rizzoni

Part of the SpringerBriefs in Electrical and Computer Engineering book series (BRIEFSELECTRIC)

Also part of the SpringerBriefs in Control, Automation and Robotics book sub series (BRIEFSCONTROL)

Table of contents

  1. Front Matter
    Pages i-xv
  2. Simona Onori, Lorenzo Serrao, Giorgio Rizzoni
    Pages 1-6
  3. Simona Onori, Lorenzo Serrao, Giorgio Rizzoni
    Pages 7-30
  4. Simona Onori, Lorenzo Serrao, Giorgio Rizzoni
    Pages 31-40
  5. Simona Onori, Lorenzo Serrao, Giorgio Rizzoni
    Pages 41-49
  6. Simona Onori, Lorenzo Serrao, Giorgio Rizzoni
    Pages 51-63
  7. Simona Onori, Lorenzo Serrao, Giorgio Rizzoni
    Pages 65-77
  8. Simona Onori, Lorenzo Serrao, Giorgio Rizzoni
    Pages 79-87
  9. Simona Onori, Lorenzo Serrao, Giorgio Rizzoni
    Pages 89-109
  10. Back Matter
    Pages 111-112

About this book

Introduction

This SpringerBrief deals with the control and optimization problem in hybrid electric vehicles. Given that there are two (or more) energy sources (i.e., battery and fuel) in hybrid vehicles, it shows the reader how to implement an energy-management strategy that decides how much of the vehicle’s power is provided by each source instant by instant.

Hybrid Electric Vehicles:

•introduces methods for modeling energy flow in hybrid electric vehicles;

•presents a standard mathematical formulation of the optimal control problem;

•discusses different optimization and control strategies for energy management, integrating the most recent research results; and

•carries out an overall comparison of the different control strategies presented.

Chapter by chapter, a case study is thoroughly developed, providing illustrative numerical examples that show the basic principles applied to real-world situations. In addition to the examples, simulation code is provided via a website, so that readers can work on the actual implementation of energy management strategies. The brief is intended as a straightforward tool for learning quickly about state-of-the-art energy-management strategies. It is particularly well-suited to the needs of graduate students and engineers already familiar with the basics of hybrid vehicles but who wish to learn more about their control strategies.

Keywords

Energy Management Hybrid Electric Vehicles Mathematical Simulation System Modeling Optimal Control

Authors and affiliations

  • Simona Onori
    • 1
  • Lorenzo Serrao
    • 2
  • Giorgio Rizzoni
    • 3
  1. 1.Automotive Engineering DepartmentClemson UniversityGreenvilleUSA
  2. 2.Division of Technology, Computer ScienceDana Holding CorporationRueil-Malmaison CedexFrance
  3. 3.Dept of MAE and CAEThe Ohio State University,ColumbusUnited Kingdom

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4471-6781-5
  • Copyright Information The Author(s) 2016
  • Publisher Name Springer, London
  • eBook Packages Engineering
  • Print ISBN 978-1-4471-6779-2
  • Online ISBN 978-1-4471-6781-5
  • Series Print ISSN 2191-8112
  • Series Online ISSN 2191-8120
  • About this book
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