iHorizon-Enabled Energy Management for Electrified Vehicles /
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...
| Main Authors: | , , |
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| Format: | software, multimedia |
| Language: | eng |
| Published: |
Oxford, UK : Butterworth-Heinemann,
2019
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| Subjects: | |
| Online Access: | https://www.sciencedirect.com/science/book/9780128150108 |
| _version_ | 1796764860712747008 |
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| author | Martínez, Clara Marina, author 648473 Cao, Dongpu, author 648474 ScienceDirect (Online service) 7722 |
| author_facet | Martínez, Clara Marina, author 648473 Cao, Dongpu, author 648474 ScienceDirect (Online service) 7722 |
| author_sort | Martínez, Clara Marina, author 648473 |
| collection | OCEAN |
| description | 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. |
| first_indexed | 2024-03-05T17:16:03Z |
| format | software, multimedia |
| id | KOHA-OAI-TEST:603803 |
| institution | Universiti Teknologi Malaysia - OCEAN |
| language | eng |
| last_indexed | 2024-03-05T17:16:03Z |
| publishDate | 2019 |
| publisher | Oxford, UK : Butterworth-Heinemann, |
| record_format | dspace |
| spelling | KOHA-OAI-TEST:6038032023-10-18T06:46:54ZiHorizon-Enabled Energy Management for Electrified Vehicles / Martínez, Clara Marina, author 648473 Cao, Dongpu, author 648474 ScienceDirect (Online service) 7722 software, multimedia Electronic books 631902 Oxford, UK : Butterworth-Heinemann,2019©2019engiHorizon-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.Includes index.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 researchiHorizon-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.Hybrid electric vehicleshttps://www.sciencedirect.com/science/book/9780128150108URN:ISBN:9780128150108Remote access restricted to users with a valid UTM ID via VPN. |
| spellingShingle | Hybrid electric vehicles Martínez, Clara Marina, author 648473 Cao, Dongpu, author 648474 ScienceDirect (Online service) 7722 iHorizon-Enabled Energy Management for Electrified Vehicles / |
| title | iHorizon-Enabled Energy Management for Electrified Vehicles / |
| title_full | iHorizon-Enabled Energy Management for Electrified Vehicles / |
| title_fullStr | iHorizon-Enabled Energy Management for Electrified Vehicles / |
| title_full_unstemmed | iHorizon-Enabled Energy Management for Electrified Vehicles / |
| title_short | iHorizon-Enabled Energy Management for Electrified Vehicles / |
| title_sort | ihorizon enabled energy management for electrified vehicles |
| topic | Hybrid electric vehicles |
| url | https://www.sciencedirect.com/science/book/9780128150108 |
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