iHorizon-Enabled Energy Management for Electrified Vehicles - 1st Edition - ISBN: 9780128150108

iHorizon-Enabled Energy Management for Electrified Vehicles

1st Edition

Authors: Clara Marina Martinez Dongpu Cao
Paperback ISBN: 9780128150108
Imprint: Butterworth-Heinemann
Published Date: 1st October 2018
Page Count: 420
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iHorizon-Enabled Energy Management for Electrified Vehicles proposes a realistic solution that assumes only scarce information is available prior to the start of a journey and that limited computational capability can be allocated for energy management. This type of framework exploits the available resources and closely emulates optimal results that are generated with an offline global optimal algorithm. In addition, the authors consider the present and future of the automotive industry and the move towards increasing levels of automation. Driver vehicle-infrastructure is integrated to address the high level of interdependence of hybrid powertrains and to comply with connected vehicle infrastructure.

This book targets upper-division undergraduate students and graduate students interested in control applied to the automotive sector, including electrified powertrains, ADAS features, and vehicle automation.

Key Features

  • Addresses the level of integration of electrified powertrains
  • Presents the state-of-the-art of electrified vehicle energy control
  • Offers a novel concept able to perform dynamic speed profile and energy demand prediction


Master and Doctorate levels in mechanical engineering, mechatronics, control engineering, electronics or similar

Table of Contents

  1. Introduction
    2. Integrated Energy Management for Electrified Vehicles
    3. The Driver in the Loop
    4. iHorizon in cycle-length Windows
    5. iHorizon in Short-Term Windows
    6. iHorizon Driver Energy Manamegement for PHEV Real-Time Control
    7. iHorizon Extension for Vehicle Applications
    8. Conclusions, Discussions and Future Directions for Research


No. of pages:
© Butterworth-Heinemann 2019
Paperback ISBN:

About the Author

Clara Marina Martinez

Clara Marina Martínez obtained a 5-years degree in Industrial Engineering from Seville University and an MSc degree in Automotive Mechatronics from Cranfield University in 2014. Her current research focuses on intelligent control for electrified vehicles, driving style recognition, future speed prediction and machine learning. Her privileged position between industry and academia provides complete insights on the subjects, support for her daily research and work on customer projects.

Affiliations and Expertise

Ph.D. Student, Advanced Vehicle Engineering Centre, Cranfield University, UK.

Dongpu Cao

Dr. Dongpu Cao is a senior lecturer at Cranfield University, UK. He has more than 14 years research experience in vehicle dynamics, control, electrification and intelligence with over 100 papers (more than 60 journal papers) and 1 US patent; received ASME AVTT’2010 Best Paper Award and 2012 SAE Arch T. Colwell Merit Award

Affiliations and Expertise

Senior Lecturer, Cranfield University, UK

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