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Showing result 1 - 5 of 68 essays matching the above criteria.
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1. Aerodynamics simulations of Scania trucks using OpenFOAM
University essay from KTH/Teknisk mekanikAbstract : In the field of heavy-duty vehicles, fuel efficiency and environmental protection are factors that need to be focused on, while the aerodynamic drag generated during vehicle travelling is one of the most influential aspects. This thesis delves into the aerodynamic simulation of Scania trucks using the open-source Computational Fluid Dynamics (CFD) tool, OpenFOAM v2206. READ MORE
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2. Data-Driven Reachability Analysis of Pedestrians Using Behavior Modes : Reducing the Conservativeness in Data-Driven Pedestrian Predictions by Incorporating Their Behavior
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Predicting the future state occupancies of pedestrians in urban scenarios is a challenging task, especially considering that conventional methods need an explicit model of the system, hence introducing data-driven reachability analysis. Data-driven reachability analysis uses data, inherently produced by an unknown system, to perform future state predictions using sets, generally represented by zonotopes. READ MORE
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3. Interventions to Reduce Car Use: A Meta-Analysis
University essay from Linköpings universitet/Kommunikations- och transportsystem; Linköpings universitet/Tekniska fakultetenAbstract : Transportation has become an essential part of people's lives to move from one place to another, increasing the transport mobility for passengers. Therefore, road transport accounts for the second largest contributor to greenhouse gas emissions in Europe, and to increased congestion. READ MORE
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4. Advancement of Supercapacitor in Automotive Applications
University essay from Högskolan i Halmstad/Akademin för företagande, innovation och hållbarhetAbstract : The rising use of fossil fuels and the resulting rise in environmental harm have fueled the advancement of automobiles that are fuel-efficient. A severe existential challenge facing the planet earth has given rise to hybrid electric vehicles (HEVs), which have developed from their incipient stage and are shown promise as a solution. READ MORE
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5. An efficient deep reinforcement learning approach to the energy management for a parallel hybrid electric vehicle
University essay from KTH/Skolan för industriell teknik och management (ITM)Abstract : In contemporary world, the global energy crisis and raise of greenhouse gas concentration in atmosphere necessitate the energy conservation and emission reduction. Hybrid electric vehicles (HEVs) can achieve great promise in reducing fuel consumption and greenhouse gas emissions by appropriate energy management strategies (EMSs). READ MORE