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Parasitic Capacitances Effect on Transient Current Sharing in Parallel Connection of GaN FETs
International audienceThe paper deals with the impact of parasitic capacitance on the switching operation of GaN FET devices in parallel connection. A suitable experimental board has been developed to investigate the switching transient current share features for several GaN FETs connected in parallel to perform a single high-current switch. Every device can be driven independently, and a source shunt per each GaN FET monitors the transistor current. Simulation runs and experimental tests show the switching mechanism and parameters involved in the transients' current share. The paper aims to give insights into the designing boards of paralleled GaN FETs regarding the influence of parasitic capacitances in the transient current peak distribution to find the maximum parasitic capacitance reachable without overcoming the limit of impulsive device current. The study contributes to developing reliable power modules made of several GaN FETs in parallel connection
Influence of the Mission Profile on the Selection of the Leakage Inductance for DAB converter
International audienceThe Solid-State Transformer (SST) is a key technology to support the massive deployment of Renewable Energy Sources (RES) and the electrification of several sectors. The Dual Active Bridge (DAB) is a promising topology to be used in Medium Voltage DC (MVDC) networks. However, depending on the modulation and the voltage ratio range, the DAB can present high reactive power and low efficiency at light loads. The leakage inductance is a key design parameter to optimize the overall converter performance. This paper presents a methodology to choose the leakage inductance for four mission profiles (PV, EV, residential and commercial) based on proposed weighted duration coefficients. The methodology considers a DC voltage variation and the change in reactive power and ZVS zones. The results show that the leakage inductance and the MFT design are different for profiles that operate mostly at low powers, such as EV
A Virtual Platform for Modular Smart Battery Testing and Prototyping
International audienceDeveloping and testing algorithms for the management and control of modular smart batteries pose severe safety problems due to the inherent risk of hazards when dealing with battery cells. This work proposes a virtual prototyping platform aiming to validate the performance of the controller without involving the use of real battery cells. This setup allows real-time tests in safety conditions, which is preliminary to the validation on the real battery system
Static vs. Dynamic Characterization of p-GaN HEMTs: Discrepancies in Electrical Characteristics and their Dependence on Bias History
This paper was presented at the EPE 2025 conference and was subsequently selected for publication in the special issue of Elsevier's PEDC journal. Therefore, only the abstract appears on the conference website.International audienceQuasi-static electrical characteristics of p-GaN HEMTs fluctuate with bias history. This study evidences that dynamic operation is fortunately highly reproducible without pre-conditioning. The original experimental setup highlights that quasi-static data alone is insufficient for modeling dynamic behavior, while allowing precise detection of discrepancies, enabling improved transient modeling
Silicon IGBT modules with voltage slopes higher than SiC modules
International audienceThis paper presents the issue of generating excessive dV/dt in standard medium voltage IGBT modules with PiN freewheel diodes. Two different application scenarios are discussed where the issue arises. A proposed modified double pulse test allows to investigate the phenomenon under controlled laboratory conditions. Power modules from two different manufacturers were characterized and the test results are presented. Finally, a comparison with an intermediate voltage SiC module is shown and relevant EMI considerations conclude the paper
Stochastic and Safe Multi-Risk Fusion for Autonomous Navigation in the presence of PLEVs
International audienceRisk assessment and management in urban scenarios are difficult for automated vehicles due to perception uncertainties and the latent stochastic and high-dynamic behaviors of other agents e.g., Personal Light Electric Vehicles (PLEVs). Although the Predictive Inter-Distance Profile (PIDP) provides a continuous assessment of the risk between multiple agents, it fails when there are significant uncertainties in the estimated states of the agents. In this paper, we propose a Stochastic PIDP (sPIDP) to handle the uncertainties in the motion of the agents. sPIDP projects the uncertainties to the inter-distance between the agents. Furthermore, an Uncertainty-aware MPC is proposed to perform risk management. Statistical results considering multiple traffic scenarios show that our method is efficient for safe navigation.</div
Study of 3-Phase Embedded Charger for Vehicle-to-Home (V2H) Under Unbalanced Load Conditions
International audienceThis paper provides a comprehensive exam-ination of various Vehicle-to-Everything (V2X) scenarios,emphasising on those that pose significant challenges.A focus is given to the Vehicle-to-Load/Home (V2L/H)scenario, where a three-phase embedded charger is taskedwith powering a single-phase load. In this context, it iscrucial to properly manage the load’s neutral to ensurethe voltages delivered by the charger remain balanced.The paper delves into two potential methods for neutralconnection, elucidating the implications each method hason the power electronics involved
Correlation of measured and simulated inductances in laminated bus bars
International audienceBus bars are key in the development and improvement of electrical systems that use power converters that are an essential part in smart grid systems. Bus bars, and especially laminated ones, can help reduce inductance and minimize switching losses, thereby enhancing the overall performance of converters. This highlights the critical need to accurately determine the inductance of bus bars, and then optimize their design accordingly. This publication focuses on different way to measure inductance of laminated bus bars and the correlation with simulation. The presented results demonstrate the sensitivity of inductance measurements, primarily influenced by the measurement setup. Well controlled, it is possible to obtain a strong correlation with numerical models, allowing fast design improvements before prototyping
Control-to-Output Transfer Function Measurement of a Boost Converter Using Synchronized Multifrequency Excitation
International audienceAn optimal controller design requires knowledge about the control-to-output transfer function of the converter. Instead of a sine sweep, this paper presents a faster method by a synchronized multifrequency excitation, including the compensation of aliasing effects. The measurement results show excellent agreements with the common sine method
Energy Management in Hybrid Energy Storage Systems for Electric Vehicles: A Reinforcement Learning Approach with Python-Simulink Integration
International audienceA Reinforcement Learning (RL) algorithm is employed for the energy management of a Hybrid Energy Storage System (HESS) in All Electric Vehicles (AEVs), focusing on enhancing battery life and vehicle mileage. Simulink_gym is used as the interface between Python and Simulink environment to enable seamless communication for efficient simulation and training. The results indicate that the RL-based Energy Management Strategy (EMS) significantly outperforms conventional rule-based strategies by achieving superior power sharing in HESS, leading to enhanced energy efficiency and more balanced utilization of storage components