TY - GEN
T1 - Optimal energy management of a hybrid electric bus with a battery-supercapacitor storage system using genetic algorithm
AU - Herrera, Victor Isaac
AU - Saez-De-Ibarra, Andoni
AU - Milo, Aitor
AU - Gaztañaga, Haizea
AU - Camblong, Haritza
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/5/4
Y1 - 2015/5/4
N2 - 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.
AB - 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.
KW - battery
KW - genetic algorithm
KW - rule-based
KW - series hybrid electric bus
KW - supercapacitor
UR - https://www.scopus.com/pages/publications/84946226579
U2 - 10.1109/ESARS.2015.7101452
DO - 10.1109/ESARS.2015.7101452
M3 - Contribución a la conferencia
AN - SCOPUS:84946226579
T3 - Electrical Systems for Aircraft, Railway and Ship Propulsion, ESARS
BT - 2015 International Conference on Electrical Systems for Aircraft, Railway, Ship Propulsion and Road Vehicles, ESARS 2015
PB - IEEE Computer Society
T2 - International Conference on Electrical Systems for Aircraft, Railway, Ship Propulsion and Road Vehicles, ESARS 2015
Y2 - 3 March 2015 through 5 March 2015
ER -