iHorizon Enabled Energy Management for Electrified Vehicles

Produk Detail:
  • Author : Clara Marina Martinez
  • Publisher : Butterworth-Heinemann
  • Pages : 431 pages
  • ISBN : 0128150114
  • Rating : /5 from reviews
CLICK HERE TO GET THIS BOOK >>>iHorizon Enabled Energy Management for Electrified Vehicles

Download or Read online iHorizon Enabled Energy Management for Electrified Vehicles full in PDF, ePub and kindle. this book written by Clara Marina Martinez and published by Butterworth-Heinemann which was released on 11 September 2018 with total page 431 pages. We cannot guarantee that iHorizon Enabled Energy Management for Electrified Vehicles book is available in the library, click Get Book button and read full online book in your kindle, tablet, IPAD, PC or mobile whenever and wherever You Like. 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

iHorizon Enabled Energy Management for Electrified Vehicles

iHorizon Enabled Energy Management for Electrified Vehicles
  • Author : Clara Marina Martinez,Dongpu Cao
  • Publisher : Butterworth-Heinemann
  • Release : 11 September 2018
GET THIS BOOK 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 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

Reinforcement Learning Enabled Intelligent Energy Management for Hybrid Electric Vehicles

Reinforcement Learning Enabled Intelligent Energy Management for Hybrid Electric Vehicles
  • Author : Teng Liu
  • Publisher : Morgan & Claypool Publishers
  • Release : 03 September 2019
GET THIS BOOK Reinforcement Learning Enabled Intelligent Energy Management for Hybrid Electric Vehicles

Powertrain electrification, fuel decarburization, and energy diversification are techniques that are spreading all over the world, leading to cleaner and more efficient vehicles. Hybrid electric vehicles (HEVs) are considered a promising technology today to address growing air pollution and energy deprivation. To realize these gains and still maintain good performance, it is critical for HEVs to have sophisticated energy management systems. Supervised by such a system, HEVs could operate in different modes, such as full electric mode and power split