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: Hybrid Electric Vehicles
    sub title: Energy Management Strategies
  name:
    name part: Onori, Simona.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Serrao, Lorenzo.
    role:
      role term: author.
  name:
    name part: Rizzoni, Giorgio.
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: xxk
    date issued: 2016
    edition: 1st ed. 2016.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XV, 112 p. 71 illus., 3 illus. in color. online resource.
  abstract: This SpringerBrief deals with the control and optimization problem in hybrid electric vehicles. Given that there are two (or more) energy sources (i.e., battery and fuel) in hybrid vehicles, it shows the reader how to implement an energy-management strategy that decides how much of the vehicle’s power is provided by each source instant by instant. Hybrid Electric Vehicles: •introduces methods for modeling energy flow in hybrid electric vehicles; •presents a standard mathematical formulation of the optimal control problem; •discusses different optimization and control strategies for energy management, integrating the most recent research results; and •carries out an overall comparison of the different control strategies presented. Chapter by chapter, a case study is thoroughly developed, providing illustrative numerical examples that show the basic principles applied to real-world situations. In addition to the examples, simulation code is provided via a website, so that readers can work on the actual implementation of energy management strategies. The brief is intended as a straightforward tool for learning quickly about state-of-the-art energy-management strategies. It is particularly well-suited to the needs of graduate students and engineers already familiar with the basics of hybrid vehicles but who wish to learn more about their control strategies.
  table of contents: Energy-based Modeling Approach -- The Control Problem for HEVs/PHEVs -- Dynamic Programming -- Pontryagin’s Minimum Principle -- Equivalent Consumption Minimization Strategy -- Adaptive ECMS -- Implementation Issues.
  note: by Simona Onori, Lorenzo Serrao, Giorgio Rizzoni.
  subject:
    topic: Engineering
  subject:
    topic: Energy efficiency
  subject:
    topic: Thermodynamics
  subject:
    topic: Physics
  subject:
    topic: Automotive engineering
  subject:
    topic: Control engineering
  subject:
    topic: Engineering
  subject:
    topic: Control
  subject:
    topic: Automotive Engineering
  subject:
    topic: Energy Efficiency (incl. Buildings)
  subject:
    topic: Applied and Technical Physics
  subject:
    topic: Thermodynamics
  classification: TJ212-225
  classification: 629.8
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: SpringerBriefs in Electrical and Computer Engineering
  identifier: 9781447167815
  identifier: http://dx.doi.org/10.1007/978-1-4471-6781-5
  record info:
    record creation date: 151216
    record change date: 20151217142150.0
    record identifier: 978-1-4471-6781-5