TY - GEN
T1 - Adaptive energy management strategy for a hybrid shunter locomotive
AU - Lopez-Ibarra, Jon Ander
AU - Goitia-Zabaleta, Nerea
AU - Camblong, Haritza
AU - Milo, Aitor
AU - Gaztanaga, Haizea
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/10
Y1 - 2019/10
N2 - The aim of this paper is to propose an adaptive energy management strategy for a series hybrid shunter locomotive so as to reduce the vehicle operation costs. This application operation is on- demand, therefore, fuzzy logic has been employed as it has the ability to adapt and cope with the unpredictable driving profile. The results show up to 39.02 % of fuel consumption reduction by hybridising the locomotive. Moreover, up to 44.62 % and up to 55.34 %, respectively, of daily and lifecycle operational costs improvement is achieved.
AB - The aim of this paper is to propose an adaptive energy management strategy for a series hybrid shunter locomotive so as to reduce the vehicle operation costs. This application operation is on- demand, therefore, fuzzy logic has been employed as it has the ability to adapt and cope with the unpredictable driving profile. The results show up to 39.02 % of fuel consumption reduction by hybridising the locomotive. Moreover, up to 44.62 % and up to 55.34 %, respectively, of daily and lifecycle operational costs improvement is achieved.
KW - Energy management
KW - Energy storage systems
KW - Fuzzy logic
KW - Hybrid shunter
KW - Locomotive
UR - https://www.scopus.com/pages/publications/85078799492
U2 - 10.1109/VPPC46532.2019.8952472
DO - 10.1109/VPPC46532.2019.8952472
M3 - Conference contribution
AN - SCOPUS:85078799492
T3 - 2019 IEEE Vehicle Power and Propulsion Conference, VPPC 2019 - Proceedings
BT - 2019 IEEE Vehicle Power and Propulsion Conference, VPPC 2019 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2019 IEEE Vehicle Power and Propulsion Conference, VPPC 2019
Y2 - 14 October 2019 through 17 October 2019
ER -
