Computing and Optimization for DC Power Systems of Electric Transport / Dmytro Bosyi, Oleh Sablin, Yevhen Kosariev.

By: Contributor(s): Material type: TextTextLondon, England; World Scientific Publishing, 2020 c2019Description: xxiii, 196pages. : illustration. ; 23cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9781786347718
Subject(s): LOC classification:
  • TF863 .B685 2019
Summary: "In the modern world, further development of society is impossible without environmentally friendly modes of transport and their effective interaction within the framework of Smart Energy and ECO-driving concepts. Written at a time of rapid development of information technologies in various fields, this book serves as a kind of bridge for the introduction of artificial intelligence into the electric transport power supply systems. The calculation models and methods proposed make it possible to choose the most efficient modern equipment for electric power supply of electric vehicles, which, as a result, saves investment costs and reduces time to make decisions designing complex objects. Insight is also given into building and adjusting Smart Energy class equipment to achieve optimal and economical modes"--
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Item type Current library Call number Status Date due Barcode
Book Book Politeknik Seberang Perai Open Shelf TF863 .B685 2019 (Browse shelf(Opens below)) Available 0000052741

Includes bibliographical references and index.

"In the modern world, further development of society is impossible without environmentally friendly modes of transport and their effective interaction within the framework of Smart Energy and ECO-driving concepts. Written at a time of rapid development of information technologies in various fields, this book serves as a kind of bridge for the introduction of artificial intelligence into the electric transport power supply systems. The calculation models and methods proposed make it possible to choose the most efficient modern equipment for electric power supply of electric vehicles, which, as a result, saves investment costs and reduces time to make decisions designing complex objects. Insight is also given into building and adjusting Smart Energy class equipment to achieve optimal and economical modes"--

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