Adaptive Energy Management Strategy for a Hybrid Shunter Locomotive

被引：3

作者：

Ander Lopez-Ibarra, Jon ^{[1
,2
]}

Goitia-Zabaleta, Nerea ^{[1
]}

Milo, Aitor ^{[1
]}

Gaztanaga, Haizea ^{[1
]}

Camblong, Haritza ^{[2
,3
]}

机构：

[1] IKERLAN Technol Res Ctr, Energy Storage & Management Area, Gipuzkoa, Spain

[2] Univ Basque Country, Gipuzkoa, Spain

[3] ESTIA Res, Bidart, France

来源：

2019 IEEE VEHICLE POWER AND PROPULSION CONFERENCE (VPPC) | 2019年

关键词：

Energy management; hybrid shunter; locomotive; fuzzy logic; energy storage systems;

D O I：

10.1109/vppc46532.2019.8952472

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

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.

引用

页数：6

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