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Electrochemical model-based advanced battery control systems
(Mondragon Unibertsitatea. Goi Eskola Politeknikoa, 2020)
Nowadays energetic scenario is changing, improving the actual energy mix, and using cleaner and more sustainable energy generation and consumption methods. Renewable energies are key within this context for a more ...
Electrochemical Model and Sigma Point Kalman Filter Based Online Oriented Battery Model
(IEEE, 2021)
This paper presents a reduced-order electrochemical battery model designed for online implementation of battery control systems. This model is based on porous-electrode and concentratedsolution theory frameworks and is ...
Module-Level Modelling Approach for a Cloudbased Digital Twin Platform for Li-Ion Batteries
(IEEE, 2022)
The pursue of the new increasingly intelligent, and heavier state estimation algorithms requires a significant amount of data and computing power, which may challenge their deployment in current BMS solutions. To address ...
Comparison between Bernardi’s equation and Heat Flux Sensor measurement as Battery Heat Generation Estimation Method
(2022)
The heat generation of an energy storage system is an essential topic when designing a battery pack and its cooling system. Heat generation estimation is used together with thermal models to predict battery temperature in ...
Review of computational parameter estimation methods for electrochemical models
(Elsevier Ltd, 2021)
Electrochemical models are an incipient technique for estimation of battery cells internal variables, useful for cells design or state of function optimization. One of the non-trivial procedures that allow the use of this ...
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 ...