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Review of Architectures Based on Partial Power Processing for DC-DC Applications
(IEEE, 2020)
This paper presents a review of advanced architectures based on the partial power processing concept, whose main objective is to achieve a reduction of the power processed by the converter. If the power processed by 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 ...
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) ...
Post-forming, electro-plastic effect internal stress reduction in AA5754 aluminium alloy
(Elsevier, 2022)
Aluminium alloys are one of the most efficient materials for weight reduction in the car industry. However, the favourable performance of alloys conflicts with the difficulties of transforming these materials through plastic ...
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 ...
Time-Frequency Analysis of Experimental Measurements for the Determination of EMI Noise Generators in Power Converters
(MDPI, 2022)
In the context of recent decades in which there has been great development in power electronics systems with increasingly better operating characteristics, the study of the factors that affect the behaviour of these systems ...
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) ...