Cargando…
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...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Otros Autores: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Oxford, UK :
Elsevier Ltd. : Butterworth-Heinemann,
[2019]
|
| Temas: | |
| Acceso en línea: | Texto completo Texto completo |
MARC
| LEADER | 00000cam a2200000 i 4500 | ||
|---|---|---|---|
| 001 | SCIDIR_on1052566521 | ||
| 003 | OCoLC | ||
| 005 | 20231120010314.0 | ||
| 006 | m o d | ||
| 007 | cr cnu|||unuuu | ||
| 008 | 180914s2019 enka ob 001 0 eng d | ||
| 040 | |a N$T |b eng |e rda |e pn |c N$T |d N$T |d OPELS |d OCLCF |d YDX |d COO |d UPM |d OTZ |d LVT |d D6H |d N$T |d S2H |d OCLCO |d OCLCQ |d OCLCO |d K6U |d OCLCQ |d SFB |d OCLCQ |d OCLCO | ||
| 020 | |a 9780128150115 |q (electronic bk.) | ||
| 020 | |a 0128150114 |q (electronic bk.) | ||
| 020 | |z 9780128150108 | ||
| 035 | |a (OCoLC)1052566521 | ||
| 050 | 4 | |a TL220 | |
| 072 | 7 | |a TEC |x 009000 |2 bisacsh | |
| 082 | 0 | 4 | |a 629.22/93 |2 23 |
| 100 | 1 | |a Martinez, Clara Marina, |e author | |
| 245 | 1 | 0 | |a IHorizon-Enabled Energy Management for Electrified Vehicles / |c Clara Marina Martinez, Dongpu Cao. |
| 264 | 1 | |a Oxford, UK : |b Elsevier Ltd. : |b Butterworth-Heinemann, |c [2019] | |
| 300 | |a 1 online resource : |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 504 | |a Includes bibliographical references and index. | ||
| 588 | 0 | |a Online resource; title from PDF title page (EBSCO, viewed September 18, 2018). | |
| 520 | |a 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. | ||
| 650 | 0 | |a Electric vehicles. | |
| 650 | 6 | |a V�ehicules �electriques. |0 (CaQQLa)201-0003086 | |
| 650 | 7 | |a electric vehicles. |2 aat |0 (CStmoGRI)aat300227911 | |
| 650 | 7 | |a TECHNOLOGY & ENGINEERING |x Engineering (General) |2 bisacsh | |
| 650 | 7 | |a Electric vehicles |2 fast |0 (OCoLC)fst00906127 | |
| 700 | 1 | |a Cao, Dongpu, |d 1978- | |
| 856 | 4 | 0 | |u https://sciencedirect.uam.elogim.com/science/book/9780128150108 |z Texto completo |
| 856 | 4 | 0 | |u https://sciencedirect.uam.elogim.com/book/9780128150108 |z Texto completo |