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 21–28 of 28 papers
Benjamin Reuter
This study simulates the temporal dynamics of greenhouse gas emissions during the transition from internal combustion engine to battery electric vehicles in Germany's passenger car fleet. It finds a 10-20 year time lag between changes in ne…
Qianqian Yang, Quan Yuan, Qiangqiang Yuan +5
This paper empirically demonstrates that the transition to new energy vehicles (NEVs) reduces urban air pollution and associated mortality in China. It provides evidence on the health co-benefits of EV adoption, linking decarbonization to p…
Haozheng Yu, Congying Wu, Yu Liu
This paper provides a comprehensive review of Vehicle-to-Grid (V2G) integration into smart energy systems. It analyzes key enabling technologies (bidirectional charging, aggregation, communication, data-driven control) from a system-level p…
G. Sai Kumar, N. Akhil, B. Pavan +5
This comprehensive review traces the evolution of battery technologies for electric vehicles, from lead-acid to lithium-ion and beyond. It covers key breakthroughs, challenges in energy density, cost, and environment, and discusses future p…
Ndhlovu E.
This paper provides an overview of decarbonising urban transport, focusing on electric vehicles, public transport, and sustainable infrastructure in achieving net-zero emissions. It discusses the integration of policies and technologies.
Sai Luo, Kaihang Zhang, Guangwei Li +4
This paper reviews the current status of fuel cell electric vehicle (FCEV) industrialization in China and discusses future prospects. It outlines policy support, technological progress, and infrastructure development, while identifying chal…
Raghavendra Kurva
This technical review examines AI and machine learning approaches for real-time carbon footprint monitoring of electric vehicles (EVs). By integrating data from sensors, vehicle systems, and recycling facilities, dynamic emission profiles a…
Gayathri Asokan, Rajkumar Raju cEng, Chandan Dhananjaya +1
This paper proposes a technical framework for life cycle assessment (LCA) specifically for EV battery recycling. It identifies mining and manufacturing as carbon hotspots, and shows that end-of-life strategies like hydrometallurgical recycl…
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