Browsing by Author "Safavi, Vahid"

Now showing items 1-3 of 3

    • Battery remaining useful life prediction using machine learning models: a comparative study 

      Safavi, Vahid; Vaniar, Arash Mohammadi; Bazmohammadi, Najmeh; Vasquez, Juan Carlos; Guerrero Zapata, Josep Maria (Multidisciplinary Digital Publishing Institute (MDPI), 2024-02-22)
      Article
      Open Access
      Predicting the remaining useful life (RUL) of lithium-ion (Li-ion) batteries is crucial to preventing system failures and enhancing operational performance. Knowing the RUL of a battery enables one to perform preventative ...

    • Battery state-of-health estimation: a step towards battery digital twins 

      Safavi, Vahid; Bazmohammadi, Najmeh; Vasquez Quintero, Juan Carlos; Guerrero Zapata, Josep Maria (2024-01-31)
      Article
      Open Access
      For a lithium-ion (Li-ion) battery to operate safely and reliably, an accurate state of health (SOH) estimation is crucial. Data-driven models with manual feature extraction are commonly used for battery SOH estimation, ...

    • Early prediction of battery remaining useful life using CNN-XGBoost model and Coati optimization algorithm 

      Safavi, Vahid; Vaniar, Arash Mohammadi; Bazmohammadi, Najmeh; Vasquez, Juan Carlos; Keysan, Ozan; Guerrero Zapata, Josep Maria (Elsevier, 2024-09-20)
      Article
      Open Access
      Lithium-ion (Li-ion) batteries are essential for modern power systems but suffer from performance degradation over time. Accurate prediction of the remaining useful life (RUL) of these batteries is critical for ensuring ...