This page provides an English interface to the gxceed GX paper corpus. The corpus aggregates papers from 14 contributing 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 61–80 of 328 papers
Hayden Bradbury, Allan Trench, Dirk G. Baur
Western Australia's lithium sector grew 10-fold from 2010 to 2024, with royalty receipts exceeding AUD 1 billion. Analysing resource build, production, capital deployed, capital intensity, and development timelines, the study finds new mine…
Heather Sutherland, Kevin Kim, Molly Ramsay +1
This study conducts a cradle-to-grave LCA comparing the Ford Transit ICEV and EV for UBC's campus fleet, using OpenLCA and Ecoinvent. Under low-carbon grid and short-distance driving, EVs reduce GHG emissions but increase other environmenta…
Luh, Sandro (author), Kannan, Ramachandran (author), McKenna, Russell (author) +2
This study extends the Swiss TIMES energy system model with heterogeneous consumer segments and charging infrastructure (CI) options to analyze BEV adoption and net-zero implications. Results show BEV share reaches 39-77% by 2050, requiring…
Ziyang Zhang, Chao Gao, Yue Zhang +6
This study compares the life-cycle environmental impacts of NCM and LFP EV batteries in China. NCM has higher production-stage burdens; hydrometallurgy is the preferred recycling route. By 2060, production emissions are projected to drop by…
Helena Drdlová
This article examines how Central and Eastern European small open economies navigate the unraveling multilateral order, comparing two industrial policy projects: Hungary's EV battery production (widely seen as a failure) and Poland's domest…
Alikhani P.
This paper proposes a multi-objective optimization method for electric vehicle (EV) charging schedules, considering market coupling in north-western Europe. It analyzes trade-offs between cost reduction and grid load leveling, and evaluates…
Maria Xylia, Claudia Strambo, Björn Nykvist +1
This paper defines 'charging poverty' as the inability to afford or access sufficient, reliable, and socially inclusive EV charging. It proposes a conceptual framework with five dimensions (economic, spatial, functional, temporal, digital),…
Plagowski, Patrick, Saprykin, Aleksandr, id_orcid:0 000-0002-7880-1807 +2
This study couples agent-based traffic simulation with power flow analysis to quantify the impact of 8.5% BEV charging on a real distribution grid in Zurich, Switzerland. Results show peak line loads up to 132% of rated capacity in critical…
Ridlo, Muhammad Zainur
This study experimentally evaluates the effects of load (driver weight) and road conditions (dry, wet, gravel) on the maneuver stability and braking performance of a 2kW small electric car. Zig-zag and sudden braking tests were conducted, f…
Taylor, Margaret, Fujita, Sydny
This chapter analyzes consumer acceptance of plug-in electric vehicles (PEVs) in the U.S. light-duty vehicle market from a behavioral perspective. It presents a five-stage purchase decision model and the 4-A framework (Awareness, Access, Ap…
Pyrhönen, Juha, Petrov, Ilya, Zadorozhniuk, Daniil +12
This paper presents innovative design strategies for EV traction motors to enhance material and energy efficiency, reducing rare earth usage by 60%. Achieving a continuous specific power of 7 kW/kg through high-speed operation, advanced mat…
Luh, Sandro, id_orcid:0 000-0003-0647-1447, Kannan, Ramachandran +3
This study extends the Swiss TIMES energy system model with heterogeneous consumer segments and charging infrastructure (CI) options to analyze EV charging strategies for net-zero targets. Results show BEV share reaches 39-77% by 2050, requ…
Kim D.
This paper proposes a method to determine the flexible ramping capacity of electric vehicles (EVs) to enhance locational flexibility in power systems. By leveraging EV charging and discharging, it aims to support renewable integration and g…
Haodong Li, Wenzhu Liao, Youning Qian
This paper proposes a stochastic optimization approach for designing sustainable closed-loop supply chain networks for electric vehicle batteries. It balances cost and environmental impact under uncertainty, contributing to resource circula…
Sarah Khan, Anannya Das Banerjee, and Aditya Ramji
This paper analyzes the impact of India's electric vehicle transition on economic growth and energy security. It emphasizes the role of policy interventions and suggests that EV adoption can reduce oil dependence and enhance industrial comp…
Dr NIVEDITA S PADOLE, Mr TALASILA VENKATESH, Dr GEETHA AIYYANARAPAN +2
This book provides a comprehensive overview of the transition to electric vehicles (EVs), covering powertrains, battery technology, charging infrastructure, smart-grid integration, and lifecycle assessment. It emphasizes the challenges and …
Hu J.
This paper proposes a low-carbon oriented framework for large-scale electric vehicle deployment that incorporates transmission network impacts. It presents an integrated planning approach for EV adoption and power grid, aiming to contribute…
Tamayao M.A.M.
This study assesses the regional variability and uncertainty of life cycle CO2 emissions of electric vehicles across the United States. It shows that differences in electricity mix and driving patterns significantly affect emissions, provid…
Ou S.
This paper quantifies policy gaps for achieving net-zero GHG emissions in the U.S. light-duty vehicle market through electrification. It analyzes the difference between current policies and required emission reduction pathways, highlighting…
Ali Soltani, Mohsen RouhaniGhadikolaei, Yashar Jamei +1
This study treats EV transition as a land-use and urban-development problem, analyzing 30 official NSW planning documents via text mining. It introduces a novel Triadic Integration Score (TIS) quantifying cross-domain co-occurrence of EV, l…
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