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Now showing items 21-23 of 23
Creating a Robust SoC Estimation Algorithm Based on LSTM Units and Trained with Synthetic Data
(MDPI, 2023)
Creating SoC algorithms for Li-ion batteries based on neural networks requires a large amount of training data, since it is necessary to test the batteries under different conditions so that the algorithm learns the ...
Physico-chemical parameter measurement and model response evaluation for a pseudo-two-dimensional model of a commercial lithium-ion battery
(Elsevier, 2021)
To effectively evaluate battery performance by means of electrochemical modelling, a consistent set of parameters is essential. The aim of this work is to provide a complete physico-chemical methodology to measure all the ...
Model Predictive Control for EV Chargers Coupling Electro-Thermal and Degradation Battery Models
(IEEE, 2023)
This paper presents an energy management algorithm for an Electric Vehicle (EV) charging station equipped with solar energy generation and local battery-based storage. For this purpose, a practical electric, thermal, and ...