Hybrid framework for predicting and forecasting State of Health of Lithium-ion batteries in Electric Vehicles

Author:

Maleki SajadORCID,Ray BiplobORCID,Hagh Mehrdad Tarafdar

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment,Control and Systems Engineering

Reference41 articles.

1. On-line estimation assessment of power systems inertia with high penetration of renewable generation;Allella;IEEE Access,2020

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3. A review of state of health estimation of energy storage systems: Challenges and possible solutions for futuristic applications of li-ion battery packs in electric vehicles;Sarmah;J. Electrochem. Energy Convers. Storage,2019

4. Optimized time step for electric vehicle charging optimization considering cost and temperature;Dahmane;Sustain. Energy Grids Netw.,2021

5. A data-driven remaining capacity estimation approach for lithium-ion batteries based on charging health feature extraction;Guo;J. Power Sources,2019

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