Sensitivities and uncertainties of eco-driving algorithm estimating train power consumption

被引：0

作者：

Sira, M. ^{[1
]}

Cucala, Asuncion P. ^{[2
]}

Fernandez-Cardador, Antonio ^{[2
]}

Fernandez-Rodriguez, Adrian ^{[2
]}

机构：

[1] Czech Metrol Inst, Okruzni 31, Brno, Czech Republic

[2] Comillas Pontifical Univ, ICAI Sch Engn, Inst Res Technol, 23 Alberto Aguilera St, Madrid 28015, Spain

来源：

2020 CONFERENCE ON PRECISION ELECTROMAGNETIC MEASUREMENTS (CPEM) | 2020年

关键词：

uncertainty; Monte Carlo methods; energy consumption; railway engineering;

D O I：

10.1109/cpem49742.2020.9191703

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：

This paper describes a study of uncertainty propagation through the Train Simulator Algorithm (TSA). The algorithm is used to estimate train driving time, consumed and regenerated energy. These output quantities are important to optimize the driving profile of the train and minimize energy spending. The uncertainty propagation was calculated using the Monte Carlo method. The sensitivity of output uncertainties on the input uncertainties was evaluated for two different train tracks in Spain, Madrid Metro, and in Italy, Bolonia-Ozzano. Results will be used to improve eco-driving profiles.

引用

页数：2

共 3 条

[1] [Anonymous], 2008, EVALUATION MEASUREME
[2] Optimal design of metro automatic train operation speed profiles for reducing energy consumption
Dominguez, M.
Fernandez, A.
Cucala, A. P.
Lukaszewicz, P.
[J]. PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART F-JOURNAL OF RAIL AND RAPID TRANSIT, 2011, 225 (F5) : 463 - 473
[3] Modeling and optimizing energy-efficient manual driving on high-speed lines
Sicre, Carlos
Cucala, Asuncion P.
Fernandez, Antonio
Lukaszewicz, Piotr
[J]. IEEJ TRANSACTIONS ON ELECTRICAL AND ELECTRONIC ENGINEERING, 2012, 7 (06) : 633 - 640

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