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.
Showing 1–20 of 81 papers
Jagannadha Tamvada, Mili Shrivastava
This article argues against weakening electric vehicle (EV) adoption targets, presenting four key reasons: climate change mitigation, economic growth, technological innovation, and public health benefits. It contends that maintaining ambiti…
Ashish Kumar, Jeng Shiun Lim, Vijay Rathee +2
This study analyzes factors influencing EV purchase intention in India using the PESTEL model. A survey of 513 participants found that political, technological, environmental, and legal factors strongly influence adoption, while economic an…
Bing Xiao, Sophie Nivoix
This paper examines the political economy of small affordable electric vehicles (EVs) in the energy transition of Central and Eastern Europe. It analyzes how policy, economic factors, and social acceptance influence EV adoption, identifying…
K. J. Mpiana, Sunetra Chowdhury
This study develops a multi-objective framework to optimize vehicle electrification for both cost and carbon emissions, considering grid constraints and renewable energy share. It derives conditions for EVs to outperform ICE vehicles and id…
Tajdini F.
This review systematically organizes factors that promote or hinder the adoption of hybrid vehicles, evaluating their contribution to sustainability and GHG reduction from perspectives such as cost, infrastructure, and policy incentives. It…
Su B.
This paper hierarchically analyzes the impact of US electric vehicle (EV) subsidies on carbon emission mitigation. It quantitatively evaluates policy effectiveness and provides insights for efficient subsidy design.
Linlin You, Rui Zhu, Paolo Santi +9
This paper explores the potential of rooftop photovoltaic (PV) systems for powering electric vehicle (EV) charging, contributing to accelerated decarbonization. It quantitatively evaluates the synergistic effect of combining renewable energ…
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…
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…
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…
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…
Junyu Pan
This paper addresses challenges of limited range and high energy consumption in new energy vehicles through lightweight design. It examines multimaterial technologies, topological optimization, and process innovations, focusing on battery c…
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…
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…
Bonacina, Monica
This study analyzes the dynamic co-movement between plug-in hybrid (PHEV) and battery electric vehicle (BEV) registrations in Italy using monthly data from January 2018 to March 2026. It provides a novel dataset including policy-support ind…
Bonacina, Monica
This replication package provides monthly data and Python scripts for the paper examining the co-movement between plug-in hybrid and battery electric vehicle registrations in Italy. It covers 2018-2026 and includes policy-support indices, w…
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…
Indradeo Pratap Bharti, Neha Sharma
This paper proposes an autonomous mobile robotic charging system that integrates solar energy harvesting and inductive power transfer (IPT) for wireless EV charging. The robot navigates to a parked EV, aligns coils, and initiates contactles…
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…
Anandu krishnan.S
This paper proposes a hybrid FPSO-MPC framework for solar-assisted EV charging stations, integrating day-ahead scheduling, real-time uncertainty management, and offline parameter optimization. Simulation results show improved grid stability…
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