Electric Vehicle Engineering

Enge, Per, Enge, Nick, Zoepf, Stephen

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商品描述

A complete guide to electric vehicle design, operation, and adoption

This hands-on resource thoroughly explains the technologies and techniques involved in the design and operation of today's electric vehicles. Originally written for use in a course co-taught by the authors at Stanford University, Electric Vehicle Engineering discusses the physics of vehicle motion; the electrical principles on which motors rely; the chemistry, operation, and charging of lithium-ion batteries; the design and operation of motor controllers; the energy efficiency and environmental impact of electric vehicles; and the policy and economics affecting their adoption. After teaching you the theory, the authors will guide you through a hands-on project in which you will build a model electric car from the ground up with a hand-wound electric motor of your own design.

Coverage includes:
  • Introduction to electric vehicles
  • Electric vehicle history
  • Vehicle dynamics
  • Electric motors
  • Lithium-ion batteries
  • Controllers
  • Well-to-wheels energy and emissions analysis
  • Electric vehicle policies and economics
  • Future prospects

作者簡介

Dr. Stephen Zoepf, Ph.D., M.Sc., B.Sc., is the Chief of Policy Development for Ellis & Associates, where he helps guide the development of open-source software products for cities to manage modern transportation systems. He teaches at Stanford University and holds a Ph.D., M.Sc. and B.Sc. from MIT, and has two decades of experience in transportation and mobility.

Nick Enge, M.S., developed and co-taught Stanford University's first modern undergraduate course on electric vehicles. He is currently a lecturer at the University of Texas at Austin, and is the co-author of The Science of Speaking.

Per Enge, was Director of the Stanford GPS Lab at Stanford University. He was a member of the National Academy of Engineers and GPS Hall of Fame, and a Fellow of the ION and IEEE and author of Global Positioning System: Signals, Measurements, and Performance.