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Now showing items 11-20 of 23
Modular battery energy storage system design factors analysis to improve battery-pack reliability
(Elsevier, 2022)
Traditional battery energy storage systems (BESS) are based on the series/parallel connections of big amounts of cells. However, as the cell to cell imbalances tend to rise over time, the cycle life of the battery-pack 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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...