GX Research Hub · English

GX & Decarbonization Research

This page provides an English interface to the gxceed GX paper corpus. The corpus aggregates papers from 13 open scholarly metadata sources and uses AI-assisted classification to identify signals related to measurement, policy narratives, outcomes, implementation, industrial adoption, and verification.

The goal is not only to discover papers, but to observe how GX research is distributed across research substance, implementation narratives, external expectations, implementation substance, and judgment formation.

Summaries are AI-assisted. Always refer to the original paper for authoritative conclusions.

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Topic: #EV & Transport (clear)

Showing 121–140 of 215 papers

Peer-reviewed🌍 GlobalJournalInternational Journal of Creative and Open Research in Engineering and Management2026#EV & TransportDOI

Analysis of Hybrid Energy Storage System for EV Battery Charging System in PSIM

Prity Kumari, Shweta Raj Shweta Raj, Sachindra Kumar Verma Sachindra Kumar Verma

This paper proposes a hybrid energy storage system (HESS) integrating lithium-ion batteries and supercapacitors for EV battery charging. It designs energy management strategies and control algorithms, demonstrating improvements in efficienc…

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Preprint🌍 GlobalZenodo2026#EV & TransportDOI

ELECTRIC VEHICLES: DEVELOPMENT AND EVOLUTION

Azizov Shavkat Abdurakhmanovich Professor, Karshi State Technical University

This article examines the historical development and technological evolution of electric vehicles (EVs) from early experiments in the 19th century to modern advanced systems. It analyzes key technological milestones, economic factors, and e…

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PreprintZenodo2026#EV & TransportDOI

ELECTRIC AND HYBRID VEHICLES AND THEIR APPLICATIONS

Khalilov Jakhongir Mansur ogli Associate Professor, Department of Vehicle Engineering, Bukhara State Technical University Doctor of Philosophy in Technical Sciences (PhD) e-mail: xalilov.jahongir9...

This paper provides a scientific analysis of electric and hybrid vehicles, covering structural design, operating principles, energy efficiency, and environmental benefits. It examines electric motors, lithium-ion batteries, regenerative bra…

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Peer-reviewed🌍 GlobalJournalFuel Cells2026#EV & TransportDOI

A Levenberg–Marquardt Learning‐Based Artificial Neural Network Controller for Battery Charging in Hydrogen and Solar‐Powered Electric Vehicle Stations

Mustafa Özden, Davut Ertekin

This paper proposes a DC-DC converter topology for EV charging stations powered by hydrogen fuel cells or solar arrays, featuring low input current ripple and reduced voltage stress. The converter uses switched inductor and switched capacit…

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Peer-reviewed🇨🇳 ChinaJournalBatteries & Supercaps2026#EV & TransportDOI

Study on Flexible Styrene‐Ethylene‐Butylene‐Styrene‐Coal Gangue Composite Phase Change Encapsulation Materials for Battery Thermal Management

Lin Huang, Like Wang, Zeyang Li +2

This study develops a flexible composite phase change material (CPCM) using coal gangue waste and paraffin wax for battery thermal management. The CPCM prevents leakage, improves thermal conductivity by over 100%, and extends safe operation…

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Peer-reviewed🌍 GlobalJournalStrathprints: The University of Strathclyde institutional repository (University of Strathclyde)2026#EV & Transport

Critical and bulk material considerations for designing low-carbon transport-energy pathways in Kenya

Karla Cervantes Barron, James Dixon, Joshua Oduor +7

This paper evaluates critical and bulk material demand and associated emissions for Kenya's transport-energy futures using a bottom-up model (TEAM-Kenya) and material demand projection tool (Mat-dp). Four pathways with varying government in…

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Preprint🇨🇳 ChinaResearch Square2026#EV & TransportDOI

Study on Manufacturers' Operational Decisions under Different Production and R&D Strategies of New Energy Vehicle Batteries in the Context of Low Carbon Economy

Junlan Tan, Hongxia Chen, Deibin Yang +3

This study analyzes how production and R&D strategies for new energy vehicle batteries affect manufacturers' operational decisions in a low-carbon economy. Focusing on Chinese manufacturers, it examines optimal production quantities and pri…

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Preprint🌍 GlobalResearch Square2026#EV & TransportDOI

A Machine Learning–Based Optimal Charging Strategy for PV- Assisted Electric Vehicle Systems Incorporating Second-Life Batteries under Degradation Constraints

Ezzat A, Abdel-Khalik AS, Hamdy RA +1

This paper proposes a machine learning-based energy management system for PV-assisted EV and second-life battery charging, using XGBoost to predict optimal charging duration classes. The approach improves PV self-consumption by 22% while re…

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PreprintZenodo2026#EV & TransportDOI

ENERGY-SAVING TECHNOLOGIES IN ELECTRIC VEHICLES

Maxmadiyev, Fazliddin Anvar ugli

This paper analyzes energy-saving technologies in electric vehicles, focusing on battery technologies, regenerative braking, intelligent control, and integration with renewable energy. It evaluates their ecological and economic efficiency a…

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PreprintZenodo2026#EV & TransportDOI

EV-CRASH FOUNDATION v1.2

Simor, István

This paper presents a critical life-cycle assessment (LCA) of battery electric vehicles (BEVs), showing that their sustainability depends heavily on grid composition, battery supply-chain burdens, and usage patterns. On low-carbon grids, BE…

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