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Artech House Plug-In Electric Vehicle Integration - Artech House Technical Guide

Amazon

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Description

This comprehensive technical reference from Artech House provides practical guidance for designing and building sustainable transportation systems centred on plug-in electric vehicles. The book delivers in-depth coverage of energy storage, converter and charger technologies, and explores the architecture and models essential for establishing sustainable charging infrastructures. It addresses real-world challenges including capacity planning for small-scale fast charging stations, optimal arrival and service rates, facility location problems, and load balancing strategies. The content examines how plug-in electric vehicles can integrate with electrical grids to provide valuable grid services, whilst also covering EV adoption forecasting and demand prediction methods. Included time-saving MATLAB code and reference materials streamline implementation of the concepts presented, making this resource invaluable for engineers, planners, and technology professionals working in electric vehicle systems and smart grid development.

Key Features

Covers energy storage, converter, and charger technologies with detailed technical explanations for plug-in electric vehicle systems.

Presents architecture models and strategies for designing sustainable charging infrastructures and managing fast charging station capacity.

Addresses facility location problems, load balancing, and optimal arrival rates for efficient plug-in electric vehicle charging networks.

Explains how plug-in electric vehicles can provide grid services and integrate with electrical systems for bidirectional energy flow.

Includes practical MATLAB code examples that accelerate the implementation of plug-in electric vehicle integration concepts.

Covers EV adoption forecasting and demand prediction methodologies for planning sustainable transportation infrastructure.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
31 July 2017
Listed Since
11 April 2017

Barcode

No barcode data available

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