TY - GEN
T1 - Fuzzy based predictive control for optimal energy management in hybrid urban buses
AU - Falcon-Mendoza, Brishith
AU - Herrera-Perez, Victor
AU - Lopez-Ibarra, Jon Ander
AU - Gaztanaga, Haizea
AU - Camblong-Ruiz, Haritza
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/11
Y1 - 2020/11
N2 - In this article, a new fuzzy-based predictive control strategy for intelligent power management of a serial hybrid electric bus with a hybrid storage system that combines batteries and supercapacitors is proposed. The main contributions in this document are a fuzzy definition based predictive control for vehicle power management, along with a multi-objective optimization approach to define the size and operation of the ESS. To obtain the best performance in the genset, a methodology is proposed to optimize the operation point selection based on a speed-torque search in the electric generator and combustion engine maps. Based on simulation results, a reduction of 18.5% of the total cost was compared to a traditional rule-based control.
AB - In this article, a new fuzzy-based predictive control strategy for intelligent power management of a serial hybrid electric bus with a hybrid storage system that combines batteries and supercapacitors is proposed. The main contributions in this document are a fuzzy definition based predictive control for vehicle power management, along with a multi-objective optimization approach to define the size and operation of the ESS. To obtain the best performance in the genset, a methodology is proposed to optimize the operation point selection based on a speed-torque search in the electric generator and combustion engine maps. Based on simulation results, a reduction of 18.5% of the total cost was compared to a traditional rule-based control.
KW - Fuzzy control
KW - Genset operation point search
KW - Hybrid electric bus
KW - Multi-objective optimization
KW - Predictive control
UR - http://www.scopus.com/inward/record.url?scp=85101984520&partnerID=8YFLogxK
U2 - 10.1109/VPPC49601.2020.9330967
DO - 10.1109/VPPC49601.2020.9330967
M3 - Contribución a la conferencia
AN - SCOPUS:85101984520
T3 - 2020 IEEE Vehicle Power and Propulsion Conference, VPPC 2020 - Proceedings
BT - 2020 IEEE Vehicle Power and Propulsion Conference, VPPC 2020 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 17th IEEE Vehicle Power and Propulsion Conference, VPPC 2020
Y2 - 18 November 2020 through 16 December 2020
ER -