Paper Info
Title
Effectiveness of Supercapacitors in Pure Electric Vehicle Using a Hybrid Meta-Heuristic Approach
Abstract
In this paper, a novel energy management system for a hybrid power source in a small urban electric vehicle is presented. The problem is divided in three layers, according to the real-time needs of the system. The long-term management layer dynamically restricts the search space based on a set of rules. The short-term management layer implements the optimization strategy based on a hybrid meta-heuristic approach combining Particle Swarm Optimization and Simulated Annealing. The solutions to the optimal power sharing problem are used to generate the power references for the lower layer, a high speed DC-DC controller. This controller is developed using a Linear Quadratic Regulator. A reduced-scale prototype has been built to analyze the performance of the energy management strategy. The results show the effectiveness of this multi-layer energy management system allowing to fulfill the requested performance with better source usage and much lower installed capacities.
Year
DOI
Venue
2016
10.1109/TVT.2015.2390919
Vehicular Technology, IEEE Transactions  
Keywords
Field
DocType
electric vehicles,energy management,linear-quadratic regulator,metaheuristics,power sources hybridization
Simulated annealing,Particle swarm optimization,Energy management,Control theory,Electric vehicle,Computer science,Control engineering,Hybrid power,Multi-swarm optimization,Metaheuristic
Journal
Volume
Issue
ISSN
PP
99
0018-9545
Citations 
PageRank 
References 
3
0.39
16
Authors
3
Name
Order
Citations
PageRank
Felipe Machado130.39
João Pedro F. Trovao290.98
Carlos Henggeler Antunes326134.75