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 221 papers
Abdu Robbi
This study uses System Dynamics to analyze the impact of government policies on commercial electric bus adoption in Indonesia towards the 2060 net-zero target. Evaluating 17 policy scenarios, it finds fuel price reform is the most effective…
Hu J.
This paper proposes a low-carbon oriented framework for large-scale electric vehicle (EV) deployment that incorporates transmission network impacts. It integrates EV adoption with power grid operation to balance decarbonization and grid sta…
Antonio Alonso-Cepeda, Raquel Villena‐Ruiz, Andrés Honrubia‐Escribano +1
This critical review examines the system-level implications of large-scale EV deployment on power networks and energy resources, covering vehicle technologies, charging infrastructure, grid integration, and renewable coupling. It identifies…
Alaba Boluwade
This paper uses genetic algorithms to optimize the spatial placement of EV charging stations in Atlantic Canada, contributing to transportation decarbonization. It aims to enhance charging infrastructure efficiency and promote EV adoption t…
Kathirvel Ayyaswamy, Naren Kathirvel
This paper examines the role of electric vehicles (EVs) in fostering a circular economy in India, focusing on battery recycling, component life cycles, and reducing fossil fuel dependence. It analyzes government policies, subsidies, and inf…
Arif MAB, Deb S
This paper compares price-following and MPC strategies for V2G dispatch on an IEEE 33-bus feeder at 10%, 30%, and 50% EV shares. MPC reduces system peak by 18-28% in all cases, while price-following worsens peak by 23.7% at 50% share. The s…
Olindo R.
This paper addresses life cycle assessments (LCA) of battery electric vehicles (BEV) and electrolytic hydrogen, highlighting the need for improved calculation rules and databases on electricity. It argues that accurate assessments require d…
Woody M.
This paper optimizes future costs and emissions of electric delivery vehicles, providing decision support for fleet operators to balance economic and environmental performance.
Kayacık S.E.
This paper proposes a multi-period optimal power flow (OPF) problem that incorporates electric vehicle (EV) charging demand, quantifying both cost and emission benefits. It demonstrates that flexible EV charging scheduling can improve grid …
Andersson Ö.
This paper conducts a life cycle assessment (LCA) of greenhouse gas (GHG) emissions from an electrified vehicle combined with renewable fuels, quantifying the reduction potential compared to EV-only scenarios and deriving policy implication…
Garima Panwar, Sunanda Sinha
This paper proposes an integrated spatial framework for optimal placement of EV charging stations in India, combining geospatial data and optimization methods to support transport decarbonization. It offers practical insights for policymake…
Ramadhani U.H.
This paper evaluates smart charging strategies for electric vehicles (EVs) in unbalanced low-voltage distribution systems with residential photovoltaic (PV) generation using probabilistic load flow analysis. It quantifies impacts on grid vo…
S S
This study proposes a model integrating electric vehicles (EVs) into a hybrid renewable energy system, using multi-objective optimization to balance energy cost, carbon emissions, and load stability. Simulations show EV integration reduces …
Zhao Yanjin Meng Qinghai Chen Peng Wang Jinji
This paper addresses the challenges of reactive power optimization in distribution networks with large-scale electric vehicle (EV) integration, considering the spatiotemporal uncertainty of EV charging. It proposes an optimization model tha…
Wang Zijie, Liu Guohai, Zhang Duo +3
This study proposes an unmanned high-clearance sprayer with a hybrid powertrain and four-wheel independent drive (4WID) with front and rear dual steering axles, addressing issues of low efficiency, high emissions, and poor flexibility in co…
Jorge Iván Silva-Ortega, Hernan Villa-Sogamoso, Juan Rivera-Alvarado +3
This article analyzes Colombia's electric and hybrid vehicle market, highlighting regulatory fragmentation and infrastructure gaps. It finds that hybrids dominate registrations, while full electrification lags. The study recommends a more c…
Sharifov Eldor, Eshmirzayeva Mohinur, Rashidova Nilufar Tulkinovna
This article reviews how electrochemical technologies—lithium-ion batteries, fuel cells, and electrolyzers—drive automotive decarbonization across the full life cycle. It highlights the benefits of battery EVs, the dependence of hydrogen's …
Ren Zhijun<sup>1, 2</sup> Qiao Xiaodong<sup>1</sup> Zhang Jiangtao<sup>2</sup>
This study applies LDA topic modeling to papers and patents to automatically identify candidate emerging technologies in the electric vehicle sector. By measuring topic similarity, the method detected 25 emerging technologies, offering a da…
Hou Chunguang, Tang Shuai, Youhua Gao +2
This paper develops a thermal characteristic model of a 150kW DC charging pile and uses the finite volume method to simulate internal flow and temperature fields. It aims to optimize heat dissipation design under high output power and harsh…
Giuseppe Napoli, Salvatore Micari, Antonio Comi +4
This study evaluates five scenarios for urban freight/service operations: diesel baseline, battery electric vans, battery electric vans with micro-hubs and cargo e-bikes, hydrogen fuel cell vans, and hydrogen with micro-hubs. Using a vehicl…
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