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- Author: Dmytro Bosyi
- Publisher: World Scientific Publishing Europe Ltd
- Year: 2019
- Pages: 250
- ISBN-10: 1786347717
- ISBN-13: 9781786347718
- Format: 15.2 x 22.9 x 1.4 cm, hardcover
- Language: English
- SAVE -10% with code: EXTRA
Computing and Optimization for DC Power Systems of Electric Transport (e-book) (used book) | bookbook.eu
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Description
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 for designing complex objects. Insight is also given into building and adjusting Smart Energy class equipment to achieve optimal and economical modes.
EXTRA 10 % discount with code: EXTRA
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- Author: Dmytro Bosyi
- Publisher: World Scientific Publishing Europe Ltd
- Year: 2019
- Pages: 250
- ISBN-10: 1786347717
- ISBN-13: 9781786347718
- Format: 15.2 x 22.9 x 1.4 cm, hardcover
- Language: English English
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 for designing complex objects. Insight is also given into building and adjusting Smart Energy class equipment to achieve optimal and economical modes.
Reviews