The success of battery electric trucks in logistics depends on ef-ficient and cost-effective charging practices at logistic terminalsduring loading, unloading, and overnight parking. However, asfleets of electric trucks expand, the charging process at terminalscan become complex. Maintaining transport efficiency within theelectric grid’s limits and available chargers is crucial. Challengesarise from weak terminal grid connections, necessitating a needto manage peak power usage.The aim of this master’s thesis is to develop optimization algo-rithms for fleet charging at terminals. It involves modeling andevaluating algorithm(s) against strategies and exploring potentialimplementation within existing transport systems. Delving intovarious areas, such as energy integration (including photovoltaic& battery energy storage systems), system integration of charg-ing stations, terminal layout and implementation of algorithm(s).This thesis work will contribute to the innovation project "Local En-ergy Systems for Electrified Logistic Applications" (LEELA). Modeling will rely on empirical research, industry data and researchfrom companies involved within the project LEELA.The simulations from the algorithms showed the importance ofevaluating viable choices for implementation, such as integratedcharging systems, photovoltaic systems, battery energy storagesystems and megawatt charging systems.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:uu-531816 |
| Date | January 2024 |
| Creators | Salimi, Allan |
| Publisher | Uppsala universitet, Elektricitetslära |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
| Relation | UPTEC STS, 1650-8319 ; 24030 |
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