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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 ...
Modular Battery Systems’ Accessible Energy Analysis
(2022)
One of the main concerns regarding traditional battery energy storage systems (BESS) is how to solve issues related to cell inhomogeneities. This problem commonly ends up reducing the accessible energy level, especially ...
State of charge estimation combining physics-based and artificial intelligence models for Lithium-ion batteries
(Elsevier, 2023)
This paper presents a sequential model based on Physic Based Models (PBM) and Artificial Intelligence Models (AI) focused on the estimation of the State of Charge (SoC). The PBM can provide interesting information about ...
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 ...
Modular Battery Energy Storage Systems for Available Energy Increase
(IEEE, 2022)
The aim of this work is to dive into the available energy of different configurations of battery packs, a vital factor when it comes to improving the driving range of electric vehicles. To that end, two different storage ...
Lithium-ion Capacitor Safety Assessment under Electrical Abuse Tests based on Ultrasound Characterization and Cell Opening
(Elsevier, 2019)
Safety issues related to lithium-ion batteries are a driving force in the search for new energy storage systems. Lithium-ion capacitors are becoming recognised as promising devices to address the question of safety. These ...
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 ...
A New Battery SOC/SOH/eSOH Estimation Method Using a PBM and Interconnected SPKFs: Part I. SOC and Internal Variable Estimation
(IOP Publishing, 2024)
Battery management systems (BMSs) are required to estimate many non-measurable values that describe the actual operating condition of batteries; such as the state of charge (SOC) or the state of health (SOH). In order to ...
A New Battery SOC/SOH/eSOH Estimation Method Using a PBM and Interconnected SPKFs: Part II. SOH and eSOH Estimation
(IOP Publishing, 2024)
Battery management systems (BMSs) are required to estimate many non-measurable values that describe the actual operating condition of batteries; such as state of charge (SOC) or state of health (SOH). In order to improve ...
Lithium-ion Battery Aging Prediction with Electrochemical Models: P2D vs SPMe
(IEEE, 2023)
Battery aging models are essential tools when predicting how much a battery will age under certain working conditions, which is key when sizing a battery pack and controlling its operation. Nowadays, mostly empirical battery ...