Sökning: "customer and vehicle data"

Visar resultat 1 - 5 av 78 uppsatser innehållade orden customer and vehicle data.

  1. 1. Exploring Automated Early Problem Identification Based on Diagnostic Trouble Codes

    Master-uppsats, Institutionen för tillämpad informationsteknologi

    Författare :Mathias Forsman; Yihan Yang; [2024-03-05]
    Nyckelord :Automotive Industry; Early Problem Identification; Diagnostic Trouble Code; Case Study; Laboratory Experiment ; Machine Learning; Linear Regression; K-means Clustering;

    Sammanfattning : In the current automotive industry, problem identification is a reactive process. It starts when the customer experiences a vehicle problem and goes to the workshop. Subsequently, all the problem-related data will be collected from the workshop and forwarded to the vehicle manufacturer. LÄS MER

  3. 2. Revising Technology Strategies In The High-Tech Electric Vehicle Industry

    Master-uppsats, Lunds universitet/Produktionsekonomi

    Författare :Adeeb Al-Adhami; [2024]
    Nyckelord :EV charging industry; Electric vehicles; Electric Road System; Stationary Charging Station; Dynamic Charging Station; Elonroad.; Technology and Engineering;

    Sammanfattning : This master’s thesis investigates the development and suggestion of a model for adapting and revising the technology strategies concerning Stationary Charging Stations (SCS), based on insights from relevant markets and stakeholders. This study particularly focuses on High-Tech Stationary Charging Stations in the Electric Vehicle (EV) charging industry, emphasizing Elonroad’s new Stationary Charging Station (SCS) technology. LÄS MER

  4. 3. CNN-LSTM architecture for predicting hazardous driving situations

    Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

    Författare :Noomi Lindblad; Stefani Platakidou; [2023-10-05]
    Nyckelord :Data science; Machine learning; LSTM; CNN; Vehicle data; Hazardous driving situation; Deep learning;

    Sammanfattning : This study aims to investigate how a CNN-LSTM model can be used together with recorded vehicle data from trucks and external weather data in order to predict a hazardous driving situation. The dataset consists of three-second-long driving snippets from customer and development trucks registered within Europe. LÄS MER

  5. 4. Energy in the Transportation System - A comparison of charging infrastructure scenarios

    Uppsats för yrkesexamina på avancerad nivå, Lunds universitet/Industriell elektroteknik och automation

    Författare :Judith Lai Jakobsson; [2023]
    Nyckelord :Charging infrastructure; road transport electrification; battery capacity need; electric vehicles; Technology and Engineering;

    Sammanfattning : A functioning charging infrastructure is crucial for achieving full-scale national electrification within the transport sector. The system is likely to consist of different charging technologies, all with the main objective of providing efficient energy replenishment services. LÄS MER

  7. 5. Minimising Battery Degradation And Energy Cost For Different User Scenarios In V2G Applications : An Integrated Optimisation Model for BEVs

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Elektricitetslära

    Författare :Jacob Bengtsson; Benjamin Moberg Safaee; [2023]
    Nyckelord :Vehicle-to-Grid; V2G; Battery Electric Vehicle; BEV; State-of-Charge; SoC; State-of-Health; SoH; charging; discharging; degradation; energy cost; optimisation; optimization; Pyomo; Gurobi;

    Sammanfattning : The functionality to both charge and discharge energy from and to the power grid to a Battery Electric Vehicle (BEV) is referred to as Vehicle-to-Grid (V2G). This allows the customer to buy energy when the spot price is low and sell energy when the price is high to make a profit, called energy arbitrage. LÄS MER