Název: Enhancing Electric Vehicle Battery Lifetime - Ageing Influences and Degradation Forecasts
Autoři: CHANDRABHANU NAMBIAR, Gokul
Typ dokumentu: Diplomové práce
Rok: 2025
Jazyk: eng
Abstrakt: The broadening shift towards Electric Vehicle (EV) is essential for reducing global carbon emissions, yet the longevity and reliability of High Voltage Battery (HVB) that drives the vehicle, remain pivotal challenges hindering wider EV adoption. This thesis works on a deep dive analysis focused on identifying and quantifying the impact of various stress factors on the State of Health (SoH) of EV batteries. Starting off this research is the deployment of machine learning models, specifically Gradient Boosting Regressor (GBR) and Artifcial Neural Network (ANN), to forecast the degradation in SoH based on a rich dataset encapsulating real-world operational parameters of EV batteries. The collected features which encompasses battery pack temperature, voltage, vehicle mileage, along with detailed charging and discharging information, form the foundation of the analysis. Utilizing SHapley Additive exPlanations (SHAP) for interpretability, the study elaborates on the significance and influence of each of the features on battery SoH, offering a detailed understanding of extent of battery degradation. The findings not only highlight the paramount importance of some key charging and operational behavior parameters, but also pave the way for formulating actionable recommendations to reduce battery wear and possibly extend lifespan. By providing empirical insights into battery stress factors and predictive modeling of battery SoH degradation, this thesis contributes valuable knowledge towards the enhancement of Battery Management Systems (BMS) and promotes more sustainable EV usage patterns.
Klíčová slova: Artificial Neural Network; Battery Health Degradation; Gradient Boosting Regression; Health Degradation Forecast; Random Forest; SHAP Analysis.
Citace: CHANDRABHANU NAMBIAR, Gokul. Enhancing Electric Vehicle Battery Lifetime - Ageing Influences and Degradation Forecasts. České Budějovice, 2025. diplomová práce (Mgr.). JIHOČESKÁ UNIVERZITA V ČESKÝCH BUDĚJOVICÍCH. Přírodovědecká fakulta

Instituce: Jihočeská univerzita v Českých Budějovicích (web)
Informace o dostupnosti dokumentu: Plný text je dostupný v digitálním repozitáři JČU.
Původní záznam: http://www.jcu.cz/vskp/77596

Trvalý odkaz NUŠL: http://www.nusl.cz/ntk/nusl-671163


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Vysokoškolské kvalifikační práce > Diplomové práce