Browsing by Author "Bazmohammadi, Najmeh"

Now showing items 1-5 of 5

    • A distributed real-time power management scheme for shipboard zonal multi-microgrid system 

      Xie, Peilin; Tan, Sen; Bazmohammadi, Najmeh; Guerrero, Josep Maria; Vasquez, Juan Carlos; Matas Alcalá, José; El Mariachet Carreño, Jorge (2022-07-01)
      Article
      Open Access
      The increasing demands of reducing fuel consumption for marine transportation have motivated the use of high fuel efficiency power plants and the development of power management systems (PMS). Current studies on shipboard ...

    • An accurate physical model for PV modules with improved approximations of series-shunt resistances 

      Raya Armenta, Jose Maurilio; Ortega Villasclaras, Pablo Rafael; Bazmohammadi, Najmeh; Spataru, Sergiu V.; Vasquez, Juan Carlos; Guerrero, Josep M. (2021-05)
      Article
      Open Access
      An accurate model to represent the photovoltaic modules is essential to facilitate the efficient deployment of these systems in terms of design, analysis, and monitoring considerations. In this respect, this study proposes ...

    • 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 ...