Normal view MARC view ISBD view

Vehicle Power Management [electronic resource] :Modeling, Control and Optimization / by Xi Zhang, Chris Mi.

by Zhang, Xi [author.]; Mi, Chris [author.]; SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Power Systems: Publisher: London : Springer London, 2011.Description: XIV, 346 p. online resource.ISBN: 9780857297365.Subject(s): Engineering | Mechanical engineering | Engineering | Automotive Engineering | Mechanical EngineeringDDC classification: 629.2 Online resources: Click here to access online
Contents:
1. Introduction -- 2. Basics of Vehicle Power Management -- 3. Modeling -- 4. Analytical Approach -- 5. Wavelet Technology -- 6. Dynamic and Quadratic Programming -- 7. Intelligent System Approach -- 8. ESS Management -- 9. Component Optimization -- 10. Hardware in the Loop -- 11. Future Trends in Vehicle Power Management.
In: Springer eBooksSummary: Vehicle Power Management addresses the challenge of improving vehicle fuel economy and reducing emissions without sacrificing vehicle performance, reliability and durability. It opens with the definition, objectives, and current research issues of vehicle power management, before moving on to a detailed introduction to the modeling of vehicle devices and components involved in the vehicle power management system, which has been proven to be the most cost-effective and efficient method for initial-phase vehicle research and design. Specific vehicle power management algorithms and strategies, including the analytical approach, optimal control, intelligent system approaches and wavelet technology, are derived and analyzed for realistic applications. Vehicle Power Management also gives a detailed description of several key technologies in the design phases of hybrid electric vehicles containing battery management systems, component optimization, hardware-in-the-loop and software-in-the-loop. Vehicle Power Management provides graduate and upper level undergraduate students, engineers, and researchers in both academia and the automotive industry, with a clear understanding of the concepts, methodologies, and prospects of vehicle power management.
Tags from this library: No tags from this library for this title. Add tag(s)
Log in to add tags.
    average rating: 0.0 (0 votes)
Item type Current location Call number Status Date due Barcode
MAIN LIBRARY
TL1-483 (Browse shelf) Available

1. Introduction -- 2. Basics of Vehicle Power Management -- 3. Modeling -- 4. Analytical Approach -- 5. Wavelet Technology -- 6. Dynamic and Quadratic Programming -- 7. Intelligent System Approach -- 8. ESS Management -- 9. Component Optimization -- 10. Hardware in the Loop -- 11. Future Trends in Vehicle Power Management.

Vehicle Power Management addresses the challenge of improving vehicle fuel economy and reducing emissions without sacrificing vehicle performance, reliability and durability. It opens with the definition, objectives, and current research issues of vehicle power management, before moving on to a detailed introduction to the modeling of vehicle devices and components involved in the vehicle power management system, which has been proven to be the most cost-effective and efficient method for initial-phase vehicle research and design. Specific vehicle power management algorithms and strategies, including the analytical approach, optimal control, intelligent system approaches and wavelet technology, are derived and analyzed for realistic applications. Vehicle Power Management also gives a detailed description of several key technologies in the design phases of hybrid electric vehicles containing battery management systems, component optimization, hardware-in-the-loop and software-in-the-loop. Vehicle Power Management provides graduate and upper level undergraduate students, engineers, and researchers in both academia and the automotive industry, with a clear understanding of the concepts, methodologies, and prospects of vehicle power management.

There are no comments for this item.

Log in to your account to post a comment.
@ Jomo Kenyatta University Of Agriculture and Technology Library

Powered by Koha