Essays about: "battery degradation mechanisms"

Showing result 1 - 5 of 8 essays containing the words battery degradation mechanisms.

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

    University essay from Mälardalens universitet/Framtidens energi

    Author : Josefin Rojas Vazquez; [2023]
    Keywords : 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;

    Abstract : 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. READ MORE

  3. 2. Lithium-ion Battery Modeling and Simulation for Aging Analysis using PyBaMM

    University essay from Linköpings universitet/Institutionen för systemteknik

    Author : Amina Coric; [2022]
    Keywords : Battery charging; Lithium-ion; Doyle-Fuller Newman; P2D; Single Particle Model; Pulse Charging; Constant Current Constant Voltage; Solid Electrolyte Interphase; SEI; Lithium Plating; Cycle Life; Cyclic Aging; PyBaMM; Batteri laddning; Litiumjonbatteri; Doyle-Fuller Newman; P2D; Singelpartikelmodell; Pulsad Laddning; Konstant Ström Konstant Spänning; Fast Elektrolytinterfas; SEI; Litiumplätering; LP; Cykellivslängd; Cykliskt Åldrande; PyBaMM;

    Abstract : The rate of degradation of a lithium-ion battery depends on its use i.e. how it is charged and discharged. Physics-based models are used to represent the processes inside a cell as well as the degradation mechanisms. READ MORE

  4. 3. Physics-Based Modelling for SEI and Lithium Plating During Calendar and Cycling Ageing

    University essay from KTH/Kemiteknik

    Author : Oskar Nordlander; [2022]
    Keywords : Lithium-ion Battery; Calendar Ageing; Cycling Ageing; Battery Degradation; Physics-Based Modelling; SEI; Lithium Plating; Litium-jonbatterier; Kalenderåldring; Cykling åldrande; Batteriåldrande; Fysikbaserad Modellering; SEI; Litium Plätering;

    Abstract : Målet med projektet var att undersöka samt implementera en fysikbaserad DFN modell för att simulera kalender samt cyklingåldrande av litiumbatterier som används i elbilar. Den fysikbaserade modellen var konstruerad baserad på ett Python biblioteket vid namn PyBaMM, vilket till skillnad från datadrivna modeller ger essentiell information om de kemiska processerna inuti batteriet. READ MORE

  5. 4. Physics-Based Modelling for SEI and Lithium Plating During Calendar and Cycling Ageing

    University essay from KTH/Kemiteknik

    Author : Oskar Nordlander; [2022]
    Keywords : Lithium-ion Battery; Calendar Ageing; Cycling Ageing; Battery Degradation; Physics-Based Modelling; SEI; Lithium Plating; Litium-jonbatterier; Kalenderåldring; Cykling åldrande; Batteriåldrande; Fysikbaserad Modellering; SEI; Litium Plätering;

    Abstract : Målet med projektet var att undersöka samt implementera en fysikbaserad DFN modell för att simulera kalender samt cyklingåldrande av litiumbatterier som används i elbilar. Den fysikbaserade modellen var konstruerad baserad på ett Python biblioteket vid namn PyBaMM, vilket till skillnad från datadrivna modeller ger essentiell information om de kemiska processerna inuti batteriet. READ MORE

  6. 5. Hydrogen Fuel Cell Lifetime Simulation in Marine Applications

    University essay from KTH/Kraft- och värmeteknologi

    Author : Yifeng Zhong; [2022]
    Keywords : maritime transportation; FEMFC; lifetime simulation; degradation mechanism; empirical relationship; semi-empirical approach; sjötransport; PEM-bränsleceller; livslängdssimulering; nedbrytningsmekanism; empiriskt samband; semi-empiriskt tillvägagångssätt;

    Abstract : Maritime transportation emits about 3% of global greenhouse gas, International Maritime Organization (IMO) aims to reduce shipping’s emissions by 50% with respect to 2008 levels. Proton exchange membrane fuel cells (PEMFCs) are considered among the most promising clean technologies for decarbonizing the maritime sector. READ MORE