Energy efficiency optimization of electric powertrain of underground load-haul-dump mining loader by means of dynamic programming

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Standard

Energy efficiency optimization of electric powertrain of underground load-haul-dump mining loader by means of dynamic programming. / Baranauskas, Marius; Minav, Tatiana; Belahcen, Anouar; Jokinen, Anton; Tammi, Kari; Pietola, Matti.

Conference on Fluid Power, SICFP 2019. ed. / Kalevi Huhtala. TAMPEREEN YLIOPISTO, 2019. p. 438-449.

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Harvard

Baranauskas, M, Minav, T, Belahcen, A, Jokinen, A, Tammi, K & Pietola, M 2019, Energy efficiency optimization of electric powertrain of underground load-haul-dump mining loader by means of dynamic programming. in K Huhtala (ed.), Conference on Fluid Power, SICFP 2019. TAMPEREEN YLIOPISTO, pp. 438-449, Scandinavian International Conference on Fluid Power, Tampere, Finland, 22/05/2019.

APA

Baranauskas, M., Minav, T., Belahcen, A., Jokinen, A., Tammi, K., & Pietola, M. (2019). Energy efficiency optimization of electric powertrain of underground load-haul-dump mining loader by means of dynamic programming. In K. Huhtala (Ed.), Conference on Fluid Power, SICFP 2019 (pp. 438-449). TAMPEREEN YLIOPISTO.

Vancouver

Baranauskas M, Minav T, Belahcen A, Jokinen A, Tammi K, Pietola M. Energy efficiency optimization of electric powertrain of underground load-haul-dump mining loader by means of dynamic programming. In Huhtala K, editor, Conference on Fluid Power, SICFP 2019. TAMPEREEN YLIOPISTO. 2019. p. 438-449

Author

Baranauskas, Marius ; Minav, Tatiana ; Belahcen, Anouar ; Jokinen, Anton ; Tammi, Kari ; Pietola, Matti. / Energy efficiency optimization of electric powertrain of underground load-haul-dump mining loader by means of dynamic programming. Conference on Fluid Power, SICFP 2019. editor / Kalevi Huhtala. TAMPEREEN YLIOPISTO, 2019. pp. 438-449

Bibtex - Download

@inproceedings{45122494236c47d9b597dc9a0cdc80c9,
title = "Energy efficiency optimization of electric powertrain of underground load-haul-dump mining loader by means of dynamic programming",
abstract = "The emissions of heavy-duty underground mobile machinery put the health of human workers at risk and increase the overall maintenance cost of the underground mine due to extra ventilation expenses. Besides, tightening emission standards for non-road vehicles are pushing towards greener solutions, hence fully electric powertrains are becoming a viable alternative to conventional solutions. A fully electric powertrain provides mechanical power with no local emissions and it is characterized by a superior energy efficiency compared to conventional diesel powered machines. This paper analyzes a case study of a real-size load-haul-dump mining loader equipped with a fully electric powertrain. An optimal speed profile is generated for the mining loader by means of Bellman’s dynamic programming algorithm in MatLab environment. The optimal speed profile demonstrated a 9.1{\%} decrease in energy consumption comparing to a profile composed of constant speed and constant acceleration. As the traction motors are operated in the higher efficiency areas, they generate less heat prolonging the lifetime of the powertrain components",
keywords = "dynamic programming, load-haul-dump mining loader, electric powertrain, energy efficiency",
author = "Marius Baranauskas and Tatiana Minav and Anouar Belahcen and Anton Jokinen and Kari Tammi and Matti Pietola",
year = "2019",
month = "5",
day = "22",
language = "English",
isbn = "978-952-03-1125-4",
pages = "438--449",
editor = "Kalevi Huhtala",
booktitle = "Conference on Fluid Power, SICFP 2019",
publisher = "TAMPEREEN YLIOPISTO",
address = "Finland",

}

RIS - Download

TY - GEN

T1 - Energy efficiency optimization of electric powertrain of underground load-haul-dump mining loader by means of dynamic programming

AU - Baranauskas, Marius

AU - Minav, Tatiana

AU - Belahcen, Anouar

AU - Jokinen, Anton

AU - Tammi, Kari

AU - Pietola, Matti

PY - 2019/5/22

Y1 - 2019/5/22

N2 - The emissions of heavy-duty underground mobile machinery put the health of human workers at risk and increase the overall maintenance cost of the underground mine due to extra ventilation expenses. Besides, tightening emission standards for non-road vehicles are pushing towards greener solutions, hence fully electric powertrains are becoming a viable alternative to conventional solutions. A fully electric powertrain provides mechanical power with no local emissions and it is characterized by a superior energy efficiency compared to conventional diesel powered machines. This paper analyzes a case study of a real-size load-haul-dump mining loader equipped with a fully electric powertrain. An optimal speed profile is generated for the mining loader by means of Bellman’s dynamic programming algorithm in MatLab environment. The optimal speed profile demonstrated a 9.1% decrease in energy consumption comparing to a profile composed of constant speed and constant acceleration. As the traction motors are operated in the higher efficiency areas, they generate less heat prolonging the lifetime of the powertrain components

AB - The emissions of heavy-duty underground mobile machinery put the health of human workers at risk and increase the overall maintenance cost of the underground mine due to extra ventilation expenses. Besides, tightening emission standards for non-road vehicles are pushing towards greener solutions, hence fully electric powertrains are becoming a viable alternative to conventional solutions. A fully electric powertrain provides mechanical power with no local emissions and it is characterized by a superior energy efficiency compared to conventional diesel powered machines. This paper analyzes a case study of a real-size load-haul-dump mining loader equipped with a fully electric powertrain. An optimal speed profile is generated for the mining loader by means of Bellman’s dynamic programming algorithm in MatLab environment. The optimal speed profile demonstrated a 9.1% decrease in energy consumption comparing to a profile composed of constant speed and constant acceleration. As the traction motors are operated in the higher efficiency areas, they generate less heat prolonging the lifetime of the powertrain components

KW - dynamic programming

KW - load-haul-dump mining loader

KW - electric powertrain

KW - energy efficiency

UR - http://urn.fi/URN:ISBN:978-952-03-1302-9

M3 - Conference contribution

SN - 978-952-03-1125-4

SP - 438

EP - 449

BT - Conference on Fluid Power, SICFP 2019

A2 - Huhtala, Kalevi

PB - TAMPEREEN YLIOPISTO

ER -

ID: 40399657