Essays about: "Battery failure prediction"

Found 5 essays containing the words Battery failure prediction.

  1. 1. Reliability and Cost-Benefit Analysis of the Battery Energy Storage System

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Dita Anggraini; [2023]
    Keywords : Battery Energy Storage System; Cost-Benefit Analysis; Prediction Methods; Reliability Analysis; Batterienergilagringssystem; Förutsägelsemetoder; Kostnads-nyttoanalys; Tillförlitlighetsanalys;

    Abstract : The battery energy storage system (BESS) is crucial for the energy transition and decarbonisation of the energy sector. However, reliability assessment and capital cost challenges can hinder their widespread deployment. READ MORE

  3. 2. Supervised Algorithm for Predictive Maintenance

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

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

    Abstract : 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. READ MORE

  4. 3. A deep learning based anomaly detection pipeline for battery fleets

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Nabakumar Singh Khongbantabam; [2021]
    Keywords : Forklift batteries; Battery sensors; Data pipeline; Predictive maintenance; Anomaly detection; Deep learning; Battery failure prediction; Time-series; Variational autoencoder; Long short-term memory; LSTM; Gated recurrent unit; GRU; Isolation nearest neighbor; iNNE; Isolation forest; iForest; kth nearest neighbor; kNN.; Gaffeltruckbatterier; Batterisensorer; Datapipeline; Prediktivt underhåll; Avvikelsedetektering; Deep learning; Batterifelsprediktion; Tidsserier; Variationsautokodare; Långt korttidsminne; LSTM; Gated recurrent unit; GRU; Isolation närmaste granne; iNNE; Isolation skog; iForest; kth närmaste granne; kNN.;

    Abstract : This thesis proposes a deep learning anomaly detection pipeline to detect possible anomalies during the operation of a fleet of batteries and presents its development and evaluation. The pipeline employs sensors that connect to each battery in the fleet to remotely collect real-time measurements of their operating characteristics, such as voltage, current, and temperature. READ MORE

  5. 4. Failure Prediction of NiMH Batteries

    University essay from Lunds universitet/Industriell elektroteknik och automation

    Author : Markus Hägnefelt; Filip Dahlberg; [2018]
    Keywords : Technology and Engineering;

    Abstract : This master thesis has been carried out to investigate the possibility to predict battery failure of Nickel-Metal Hydride (NiMH) batteries. Assa Abloy use these batteries as a back-up in their door solution systems in case there is a power loss. The main function is to be able to open doors that are part of an emergency exit route. READ MORE

  6. 5. Theoretical experiment of GISSMO failure model for Advanced High Strength Steel

    University essay from Högskolan Väst/Avdelningen för produktionssystem (PS)

    Author : Yueyue Wang; [2017]
    Keywords : Failure model; Theoretical experiment; AHSS; Triaxiality;

    Abstract : When developing an electric vehicle, it is essential to evaluate the deformation in and around the battery box for different crash scenarios, and it is necessary to develop a more advanced model that would take into account all the stress modes. Thanks to the excellent properties of Advanced High Strength Steel (AHSS) combine with high strength for more safety and weight reduction for less exhaust emission, AHSS is more and more commonly used in automobile industry. READ MORE