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: Artificial intelligence applications in battery management systems and routing problems in electric vehicles
  name:
    name part: Angalaeswari, S.
    name part: 1981-
    role:
      role term: editor.
  name:
    name part: Deepa, T.
    name part: 1978-
    role:
      role term: editor.
  name:
    name part: Kumar, L. Ashok
    role:
      role term: editor.
  name:
    name part: IGI Global Online
  type of resource: text
  genre: bibliography
  genre: Electronic books.
  origin info:
    place:
      place term: pau
    date issued: 2023
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource ( xx, 342 pages) : illustrations {chiefly color).
  table of contents: Section 1. Battery management systems. Chapter 1. Importance of battery pack design and battery management systems in electric vehicles ; Chapter 2. Battery monitoring system and SOC enhancement analysis using artificial intelligence techniques ; Chapter 3. Control of cell voltage difference balancing in battery management system charging circuits in electric vehicles ; Chapter 4. Design and evaluation of battery management systems for electric vehicle applications with Harris Hawk optimized algorithm (HHOA) based on fuzzy logic controller -- Section 2. Electric vehicles: modelling and control. Chapter 5. Electric vehicles and their types ; Chapter 6. Modelling and simulation of e-bikes driven by BLDC motors ; Chapter 7. Enhancement of suspension performance of the vehicle model using sliding mode controllers ; Chapter 8. Active suspension control of full car model using bat optimized PID controller -- Section 3. Analytics in electric vehicles. Chapter 9. Intelligent demand and supply of electrical vehicles ; Chapter 10. Data analytics in electric vehicles ; Chapter 11. Autonomous electric vehicles and edge computing -- Section 4. Latest trends in electric vehicles. Chapter 12. Vehicle-to-grid and electric vehicle-integrated demand response management ; Chapter 13. Hybrid optimization based on genetic routing and scheduling scheme with secure transmission in wireless sensor networks ; Chapter 14. Thermal management system for batteries in electric vehicles.
  note: [edited by] S. Angalaeswari, T. Deepa, L. Ashok Kumar.
  note: "Premier reference source"--Cover.
  note: Includes bibliographical references and index.
  subject:
    topic: Electric vehicles
    topic: Batteries
  subject:
    topic: Battery management systems
  subject:
    topic: Lithium ion batteries
    topic: Mathematical models
  classification: TL220 .A776 2023
  classification: 629.22/93
  related item:
    title info:
      title: Artificial intelligence applications in battery management systems and routing problems in electric vehicles
    origin info:
      publisher: Hershey, PA : Business Science Reference, [2023]
    identifier: (DLC) 2022043215
  related item:
    title info:
      title: Advances in computer and electrical engineering (ACEE) book series
  identifier: 9781668466339
  identifier: 1668466333
  identifier: 9781668466315
  identifier: 9781668466322
  identifier: 2022043216
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: DLC
    record creation date: 220916
    record change date: 20230331121242.6
    record identifier: in00004662919
    language of cataloging:
      language term: eng