Item added to cart
This SpringerBrief deals with the control and optimization problem in hybrid electric vehicles. Given that there are two (or more) energy sources (i.e., battery and fuel) in hybrid vehicles, it shows the reader how to implement an energy-management strategy that decides how much of the vehicles power is provided by each source instant by instant.
Hybrid Electric Vehicles:
introduces methods for modeling energy flow in hybrid electric vehicles;
presents a standard mathematical formulation of the optimal control problem;
discusses different optimization and control strategies for energy management, integrating the most recent research results; and
carries out an overall comparison of the different control strategies presented.
Chapter by chapter, a case study is thoroughly developed, providing illustrative numerical examples that show the basic principles applied to real-world situations. The brief is intended as a straightforward tool for learning quickly about state-of-the-art energy-management strategies. It is particularly well-suited to the needs of graduate students and engineers already familiar with the basics of hybrid vehicles but who wish to learn more about their control strategies.Energy-based Modeling Approach.- The Control Problem for HEVs/PHEVs.- Dynamic Programming.- Pontryagins Minimum Principle.- Equivalent Consumption Minimization Strategy.- Adaptive ECMS.- Implementation Issues.Simona Onori received her Laurea Degree, summa cum laude, (CSE) in 2003, her M.S. (ECE) in 2004, her Ph.D. (Control Engineering) in 2007, from University of Rome Tor Vergata, University of New Mexico, Albuquerque, USA, and University of Rome Tor Vergata, respectively. She has been Assistant Professor at Clemson University Automotive Engineering since August 2013 where she also holdl—
Copyright © 2018 - 2024 ShopSpell