Application of physics-informed neural networks in fault diagnosis and fault-tolerant control design for electric vehicles: A review

Measurement, Journal Year: 2025, Volume and Issue: unknown, P. 116728 - 116728

Published: Jan. 1, 2025

Language: Английский

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Battery fault diagnosis methods for electric vehicle Lithium-ion batteries: correlating codes and battery management system

Process Safety and Environmental Protection, Journal Year: 2025, Volume and Issue: unknown, P. 106919 - 106919

Published: Feb. 1, 2025

Language: Английский

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Topological Advances in Isolated DC–DC Converters: High-Efficiency Design for Renewable Energy Integration

Sustainability, Journal Year: 2025, Volume and Issue: 17(6), P. 2336 - 2336

Published: March 7, 2025

The increasing penetration of renewable energy sources (RESs) into medium-voltage (MV) and low-voltage (LV) power systems presents significant challenges in ensuring grid stability sustainability. Advanced conversion technologies are essential to mitigate voltage frequency fluctuations while meeting stringent quality standards. RES-based generation typically employ multistage electronics achieve: (i) maximum point tracking; (ii) galvanic isolation transformation; (iii) high-quality injection the grid. In this context, paper provides a comprehensive review up-to-date isolated DC–DC converter topologies tailored for integration RES. As contribution support topic, recent advancements solid-state transformers (SSTs) explored, with particular emphasis on adoption wide bandgap (WBG) semiconductors technologies, such as silicon carbide (SiC) gallium nitride (GaN). These devices have revolutionized modern by enabling operation at higher switching frequency, enhanced efficiency, increased density. By consolidating state-of-the-art identifying technical challenges, offers insights suitability light future trends, serving valuable resource optimizing grid-connected sustainable systems.

Language: Английский

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Techno-economic analysis and fuel applicability study of a novel gasifier-SOFC distributed energy system with CO2 capture and freshwater production

Desalination, Journal Year: 2024, Volume and Issue: 586, P. 117901 - 117901

Published: July 4, 2024

Language: Английский

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Machine learning for full lifecycle management of lithium-ion batteries

Renewable and Sustainable Energy Reviews, Journal Year: 2024, Volume and Issue: 202, P. 114647 - 114647

Published: June 13, 2024

Language: Английский

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Lithium battery state of health estimation using real-world vehicle data and an interpretable hybrid framework

Journal of Energy Storage, Journal Year: 2024, Volume and Issue: 96, P. 112623 - 112623

Published: June 28, 2024

Language: Английский

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Cooling performance enhancement of electric vehicle film capacitor for ultra-high temperatures using micro-channel cold plates thermal management system

International Journal of Heat and Mass Transfer, Journal Year: 2024, Volume and Issue: 233, P. 126037 - 126037

Published: Aug. 5, 2024

Language: Английский

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Energy Management Strategy for Hydrogen Fuel Cell Hybrid Electric Vehicles Based on Performance Degradation Assessment and Power Change Frequency Limitation Factor Design

Published: Jan. 1, 2025

To address the insufficient control of energy management strategy (EMS) in hydrogen fuel cell hybrid electric vehicle (HFCHEV) power system (HPS), this paper proposes a novel HPS performance degradation state-aware equivalent consumption minimization (HPS-PDS-ECMS). The incorporates variation constraint factor-based optimization method to tackle multi-objective challenges arising from degradation. Through real-time monitoring operational status, approach simultaneously optimizes distribution, economy, and terminal state charge (SOC), while considering long-term durability requirements. Comparative analysis demonstrates that proposed outperforms ideal adaptive ECMS with 0.050% lower 0.069% maximum SOC deviation. Compared rule-based EMS, basic ECMS, it achieves reductions 4.131%, 4.931%, 0.022% respectively, maintaining tracking deviation at 0.016%. methodology provides an effective solution for optimizing allocation regulation accuracy during degradation, addressing limitations conventional adapting decay.

Language: Английский

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Towards efficient energy hubs: Two-stage robust optimization with compressed air storage, electric vehicles and renewable energy integration

Journal of Energy Storage, Journal Year: 2025, Volume and Issue: 111, P. 115338 - 115338

Published: Jan. 11, 2025

Language: Английский

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Proton Exchange Membrane Fuel Cells: Effects of Gas Diffusion Layer Porosity Differences

E3S Web of Conferences, Journal Year: 2025, Volume and Issue: 601, P. 00080 - 00080

Published: Jan. 1, 2025

Fuel cells are a key technology for clean energy production due to their low environmental impact and high efficiency, yet optimizing performance remains challenging, particularly regarding the gas diffusion layer (GDL). The GDL is critical distributing reactants removing products within cell. This study employs 3D model, built in COMSOL Multiphysics, simulate assess fuel cell at different porosity levels. varied from 0.2 0.8 increments of 0.1, while all other material properties were kept constant. results show that increasing improves performance, with strong correlation between simulation experimental data. Polarization curves highlight effect on efficiency. model offers valuable insights designs by adjusting properties, contributing development more efficient, cost-effective, durable applications.

Language: Английский

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