Zerrendatu Artikuluak-Ingeniaritza honen arabera: ikerketa taldea "Almacenamiento de energía"
22-tik 1-20 emaitza erakusten
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Calendar Ageing Model for Li-Ion Batteries Using Transfer Learning Methods
(MDPI, 2021)Getting accurate lifetime predictions for a particular cell chemistry remains a challenging process, largely dependent on time and cost-intensive experimental battery testing. This paper proposes a transfer learning (TL) ... -
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 critical look at efficient parameter estimation methodologies of electrochemical models for Lithium-Ion cells
(Elsevier, 2024)Physics-Based Models (PBMs) offer a promising approach to develop advanced battery management systems that rely on information about the internal states of battery cells. The reliability of model predictions heavily depends ... -
Demystifying Non-Isolated DC–DC Topologies on Partial Power Processing Architectures
(MDPI, 2022)This paper discusses the possibility of achieving partial power processing with non-isolated DC–DC topologies. To this end, partial power converter architectures are seen as an interesting solution for reducing the power ... -
Dielectric Flow and Tab-Based Battery Thermal Management System For EV High Performance Application
(Elsevier, 2023)From the perspectives of security, durability, and proper operation, effective temperature control via thermal management systems (TMSs) on lithium-ion batteries is crucial for electric vehicle use. In this regard, a novel ... -
A direct method to quantify lithium plating on graphite negative electrode of commercial Li-ion cells
(Elsevier B.V., 2023)The deposition of metallic lithium is a degradation mechanism, also known as lithium plating, that might occur at the negative electrode surface of Li-ion battery cell, especially during fast charging, low temperature ... -
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 ... -
High Efficiency Converters Based on Modular Partial Power Processing for Fully Electric Maritime Applications
(MDPI, 2023)This paper proposes an approach for analyzing the benefits that partial-power-processing-based converters can bring to fully electric maritime applications. With the aim of making the system modular and scalable to different ... -
Li-ion Battery-based Hybrid Diesel-Electric Railway Vehicle: In-depth Life Cycle Cost Analysis
(IEEE, 2022)In this study, the life cycle costs of railway projects involving hybrid diesel-electric vehicles are analysed. Specifically, the analysis focuses on the comparison of 3 lithium-ion battery technologies (NMC, LTO and LFP) ... -
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 ... -
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 ... -
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 ... -
A new equivalent circuit model parametrization methodology based on current pulse tests for different battery technologies
(MDPI, 2021)With growing global commitment to renewable energy generation, the role of energy storage systems has become a central issue in traction power applications, such as electric vehicles, trains, and elevators. To achieve the ... -
Partial Power Processing Based Converter for Electric Vehicle Fast Charging Stations
(MDPI, 2021)This paper focuses on the design of a charging unit for an electric vehicle fast charging station. With this purpose, in first place, different solutions that exist for fast charging stations are described through a brief ... -
Performance Improvement of a Silicon Partial Power Converter over a Silicon Carbide Full Power Converter
(IEEE, 2023)This article studies the new benefits that partial power processing brings to Silicon (Si) devices compared to wide-bandgap technologies. To prove this, the proposed case study consists of an on-board charger (OBC) application ... -
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 ... -
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 ... -
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 ...
