DocumentCode :
707700
Title :
Optimal energy management of a hybrid electric bus with a battery-supercapacitor storage system using genetic algorithm
Author :
Herrera, Victor Isaac ; Saez-de-Ibarra, Andoni ; Milo, Aitor ; Gaztanaga, Haizea ; Camblong, Haritza
Author_Institution :
Technol. Res. Centre, IK4-IKERLAN, Arrasate-Mondragon, Spain
fYear :
2015
fDate :
3-5 March 2015
Firstpage :
1
Lastpage :
6
Abstract :
This paper is focused on a series hybrid electric bus (SHEB). A rule-based energy management strategy is proposed by controlling the state of charge (SOC) of the battery (BT) and a variable output control for the auxiliary power unit (APU). Furthermore, a power splitter control is developed to split the power among BT and supercapacitor (SC). The optimization to obtain the values for the control levels is carried out with multi-objective genetic algorithm (GA). The aim of the optimization is to minimize the daily operating cost of the bus. The objective functions are the costs related to fuel and energy (BT and SC degradation by cycling cost, recharge from the grid cost) consumption. The results are given in a Pareto front with a set of optimal solutions, the optimal one will depend of an analysis on which objective has priority to be minimized and what are the consequences of this decision on the other one.
Keywords :
Pareto optimisation; battery chargers; battery storage plants; energy management systems; genetic algorithms; hybrid electric vehicles; power control; secondary cells; supercapacitors; APU; Pareto front; SHEB; SOC; auxiliary power unit; battery state of charge; battery-supercapacitor storage system; genetic algorithm; power splitter control; rule-based energy management; series hybrid electric bus; Batteries; Energy management; Fuels; Genetic algorithms; Ice; Optimization; Supercapacitors; battery; genetic algorithm; rule-based; series hybrid electric bus; supercapacitor;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical Systems for Aircraft, Railway, Ship Propulsion and Road Vehicles (ESARS), 2015 International Conference on
Conference_Location :
Aachen
Type :
conf
DOI :
10.1109/ESARS.2015.7101452
Filename :
7101452
Link To Document :
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