https://www.mdu.se/

mdu.sePublikationer
Ändra sökning
RefereraExporteraLänk till posten
Permanent länk

Direktlänk
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annat format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annat språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
OPTIMIZING CYCLE TIME OF ELECTRIC AUTONOMOUS HAULERS:A CASE STUDY IN MINING APPLICATIONS
Mälardalens universitet, Akademin för innovation, design och teknik.
Mälardalens universitet, Akademin för ekonomi, samhälle och teknik.
2023 (Engelska)Självständigt arbete på avancerad nivå (yrkesexamen), 20 poäng / 30 hpStudentuppsats (Examensarbete)
Abstract [en]

Traditionally, the fastest method to travel between two points is perceived as driving at maximumspeed. However, when the vehicle in question is an electric vehicle, the additional time requiredfor charging introduces another variable that can be optimized alongside driving time. This studyexplores the optimization of total time - including both driving and charging - for an autonomouselectric hauler, the TA15, developed by Volvo Construction Equipment, operating within a miningsite scenario.The issue is framed as an optimal control problem, building upon various formulations from relatedwork. An objective function is created, with a weighting factor applied to balance the prioritizationof driving time minimization and charging time minimization. It is discovered that this weightingfactor can be calculated as the inverse of the charging power.The problem is solved using a method called direct collocation, finding the optimal solutions fordriving time minimization only and total time optimization. The results reveal that the solutionfor total time optimization mirrors that of driving time minimization when less energy is neededand a high charging rate is available. However, when the charging rate is low relative to the energyneeded, the optimal solution is no longer simply driving at maximum speed. Instead, adopting aneco-driving approach yields a more time-efficient solution.The models used in this study are based on related work, and the results demonstrate that optimalsolutions exist beyond simply driving at full speed. As the comparison is made using the samemodel, any errors exist in both cases. Consequently, the existence of alternative optimal solutionswithin these models indicates the potential for similar solutions in more accurate models. However,this hypothesis still requires further validation.

Ort, förlag, år, upplaga, sidor
2023. , s. 39
Nationell ämneskategori
Reglerteknik
Identifikatorer
URN: urn:nbn:se:mdh:diva-63775OAI: oai:DiVA.org:mdh-63775DiVA, id: diva2:1779266
Externt samarbete
Volvo Construction Equipment
Handledare
Examinatorer
Tillgänglig från: 2023-07-04 Skapad: 2023-07-04 Senast uppdaterad: 2023-07-04Bibliografiskt granskad

Open Access i DiVA

attachment(5159 kB)33 nedladdningar
Filinformation
Filnamn ATTACHMENT01.pdfFilstorlek 5159 kBChecksumma SHA-512
72914abb0787e8026622a2c11bf0be3585deacba16ec613ab64134f9f1d56f1ed5313304dcf677e732471447813511df97a91240cd4e1ae1500415f3578052cd
Typ attachmentMimetyp application/pdf

Sök vidare i DiVA

Av författaren/redaktören
Aziz, VictorBrouillette, Hanna
Av organisationen
Akademin för innovation, design och teknikAkademin för ekonomi, samhälle och teknik
Reglerteknik

Sök vidare utanför DiVA

GoogleGoogle Scholar
Antalet nedladdningar är summan av nedladdningar för alla fulltexter. Det kan inkludera t.ex tidigare versioner som nu inte längre är tillgängliga.

urn-nbn

Altmetricpoäng

urn-nbn
Totalt: 122 träffar
RefereraExporteraLänk till posten
Permanent länk

Direktlänk
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annat format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annat språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf