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

Marius Baranauskas, Tatiana Minav, Anouar Belahcen, Anton Jokinen, Kari Tammi, Matti Pietola

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussaConference contributionScientificvertaisarvioitu

Abstrakti

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
AlkuperäiskieliEnglanti
OtsikkoConference on Fluid Power, SICFP 2019
ToimittajatKalevi Huhtala
KustantajaTAMPEREEN YLIOPISTO
Sivut438-449
Sivumäärä12
ISBN (elektroninen)978-952-03-1126-1, 978-952-03-1302-9
ISBN (painettu)978-952-03-1125-4
TilaJulkaistu - 22 toukokuuta 2019
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisuussa
TapahtumaScandinavian International Conference on Fluid Power - Tampere-talo, Tampere, Suomi
Kesto: 22 toukokuuta 201924 toukokuuta 2019
Konferenssinumero: 16
http://www.tut.fi/sicfp/

Conference

ConferenceScandinavian International Conference on Fluid Power
LyhennettäSICFP
MaaSuomi
KaupunkiTampere
Ajanjakso22/05/201924/05/2019
www-osoite

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  • Siteeraa tätä

    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. teoksessa K. Huhtala (Toimittaja), Conference on Fluid Power, SICFP 2019 (Sivut 438-449). TAMPEREEN YLIOPISTO.