
iHorizon-Enabled Energy Management for Electrified Vehicles
- 431 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
iHorizon-Enabled Energy Management for Electrified Vehicles
About this book
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.- 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
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Information
Table of contents
- Cover image
- Title page
- Table of Contents
- Copyright
- 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 management for PHEV real-time control
- 7: iHorizon extension for vehicle applications
- 8: Conclusions, discussion and future direction for research
- Appendix
- Index