Sökning: "battery degradation prediction"

Visar resultat 1 - 5 av 8 uppsatser innehållade orden battery degradation prediction.

  1. 1. Battery Capacity Prediction Using Deep Learning : Estimating battery capacity using cycling data and deep learning methods

    Uppsats för yrkesexamina på avancerad nivå, Mälardalens universitet/Framtidens energi

    Författare :Josefin Rojas Vazquez; [2023]
    Nyckelord :Battery management system; Lithium-ion batteries; battery degradation mechanisms; battery cycle life; Electrical impedance spectroscopy; Capacity estimation; Incremental capacity analysis; Deep learning models; Equivalent circuit model; Long short-term memory; Feedforward neural network; Conventional neural network; multi-channel data; Incremental capacity analysis;

    Sammanfattning : The growing urgency of climate change has led to growth in the electrification technology field, where batteries have emerged as an essential role in the renewable energy transition, supporting the implementation of environmentally friendly technologies such as smart grids, energy storage systems, and electric vehicles. Battery cell degradation is a common occurrence indicating battery usage. LÄS MER

  3. 2. Predicting power demand and optimizing energy management for fuel cell battery hybrid construction vehicles

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Abhishek Karthikeyan; [2023]
    Nyckelord :Fuel cell; Construction Vehicle; Energy management; Optimization; Model Predictive Control; Load prediction; Auto-correlation; Bränslecell; Byggfordon; Energihantering; Optimering; Modellförutsägande reglering; Belastningsprediktion; Autokorrelation;

    Sammanfattning : The automotive industry has been actively seeking ways to reduce emissions and combat global warming. While pure battery electric vehicles have shown promise in achieving zero-tailpipe emissions, they face challenges in meeting the energy demands of large construction machines like excavators and wheel loaders, due to the heavy batteries required. LÄS MER

  4. 3. Supervised Algorithm for Predictive Maintenance

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Haida Lu; [2023]
    Nyckelord :Long short-term memory; Predictive maintenance; Remaining useful life; Embedded Artificial Intelligence; Långt korttidsminne; förebyggande underhåll; återstående livslängd; inbyggd artificiell intelligens;

    Sammanfattning : Predictive maintenance plays a crucial role in preventing unexpected equipment failures and maintaining assets in good operating conditions in various systems. One such scenario where predictive maintenance has been widely used is in battery management systems for electronic vehicles based on lithium batteries, where the risk of failure can be reduced by predicting the remaining useful life of the lithium battery. LÄS MER

  5. 4. Predictive control of fuel cell hybrid construction machines

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Aniroodh Kumaraswamy; [2023]
    Nyckelord :Fuel cell; Construction Vehicle; Energy management; Optimization; Model Predictive Control; Load prediction; Bränslecell; Byggmaskiner; Energihanteringssystem; Optimeringsproblem; Modellprediktiv Reglering; Belastnings-estimering;

    Sammanfattning : Sedan industriella revolutionen har hastigheten av global uppvärmning och föroreningar i miljön ökat betydligt. Företag i fordonsindustrin arbetar aktivt för att göra sina produkter mer hållbara genom att bland annat minska utsläppen, minimera användningen av icke-förnybara resurser samt att återvinna. LÄS MER

  7. 5. Prediction of battery lifetime using early cycle data : A data driven approach

    Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Institutionen för matematik och matematisk statistik

    Författare :Isabelle Enholm; Olivia Valfridsson; [2022]
    Nyckelord :early prediction; Support Vector Regression; Elastic Net; battery lifetime; cycle life; battery degradation;

    Sammanfattning : A form of laboratory tests are performed to determine battery degradation due to charging and discharging of batteries (cycling). This is done as part of quality assurance in battery production since a certain amount of degradation corresponds to the end of the battery lifetime. Currently, this requires a significant amount of cycling. LÄS MER