rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Vehicle Power Management
    sub title: Modeling, Control and Optimization
  name:
    name part: Zhang, Xi.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Mi, Chris.
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: xxk
    date issued: 2011
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XIV, 346 p. online resource.
  abstract: 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.
  table of 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.
  note: by Xi Zhang, Chris Mi.
  subject:
    topic: Engineering
  subject:
    topic: Mechanical engineering
  subject:
    topic: Automotive engineering
  subject:
    topic: Engineering
  subject:
    topic: Automotive Engineering
  subject:
    topic: Mechanical Engineering
  classification: TL1-483
  classification: 629.2
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Power Systems
  identifier: 9780857297365
  identifier: http://dx.doi.org/10.1007/978-0-85729-736-5
  record info:
    record creation date: 110810
    record change date: 20151030071248.0
    record identifier: 978-0-85729-736-5