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 21–40 of 107 papers
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…
Bhavesh Gaikwad, Nilesh Khilari, Sanket Sonje +2
This review examines a smart EV charging station that integrates solar and wind power with grid electricity, offering multiple charging modes and RFID access. It highlights the design, benefits, and challenges of renewable energy integratio…
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…
Zaineb, Azra, Nagabushanam, P., Chenchireddy, Kalagotla +3
This paper presents a PV-inductive wireless charging (PIWC) system for EVs, integrating solar energy harvesting with inductive power transfer. MPPT optimization and IoT monitoring enhance efficiency and stability, reducing grid dependency. …
Hatwar, H. Swathi, Suryanarayana, K., Shetty, Anup
This paper presents a comparative study of current control techniques for multiphase DC-DC converters used in EVs and renewable energy systems. It models a 1 kW three-phase interleaved buck converter with GaN devices, evaluating dynamic res…
Yanqiao Deng, Minda Ma, Nan Zhou +3
Using over 20 million registrations of 586 EV models across 295 Chinese cities from 2022-2024, this study provides high-resolution assessment of EV adoption, energy efficiency, and carbon intensity. Real-world data show EVs are 30.9-212.8 M…
Aoye Song, Y. Zheng, Zhaohui Dang +2
This dataset includes input data, models, and output results for a study on renewable energy accessibility for a just energy transition using intra-city and inter-city cross-regional energy sharing with e-mobility in China.
Anil Maan
This study systematically analyzes India's transport sector, covering GHG emissions, EV deployment (11-fold growth but only 7.6% of new sales), metro network performance (third largest globally), and air quality impacts. It proposes a multi…
Sacchi R.
This paper analyzes the conditions (when, where, how) under which electrification of passenger cars reduces GHG emissions, considering regional electricity mix and driving patterns.
Martínez-Hernando M.P.
This study conducts material flow analysis and estimates regional greenhouse gas emissions associated with permanent magnets and batteries used in electric vehicles. It likely identifies emission hotspots along the supply chain and provides…
Mónica López, Daniel Hidalgo
This study evaluates BEV and HEV deployment scenarios for Ecuador's light-duty transport sector using OSeMOSYS. The ENEM scenario achieves 12.14% cumulative energy demand reduction vs. BAU and contributes 15% to the NDC conditional target. …
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