A high-resolution dataset on electric passenger vehicle characteristics in China and the European Union

China and the EU are the world's largest Electric Vehicle (EV) markets, making it crucial to understand their electrification progress for global insights. However, previous assessments of regional EV markets often provide broad EV market characteristic estimations, but neglect critical spatial and segmental heterogeneity, thereby limiting research and policy precision. To fill such a knowledge gap, this study proposes a multi-dataset fusion approach that enables the characterization of passenger vehicle electrification progress in both China and the EU at highly resolved spatial, segmental, and powertrain levels for the year 2023. The dataset includes EV sales, market penetration, battery chemistry mix, and sales-weighted average battery capacity for all wheelbase-defined segments across 31 provinces and municipalities in China, as well as the EU27, Iceland, and Norway. It characterizes the current state of passenger vehicle electrification in China and the EU and supports further research on critical material demand estimation, decarbonization performance assessment, and related topics.

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Publication Details

Journal
Scientific Data
Published
2025-08-19
DOI
https://doi.org/10.1038/s41597-025-05770-7
Citations
6
Primary Topic
Electric Vehicles and Infrastructure
Type
article
Field-Weighted Citation Impact
4.38

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article

A high-resolution dataset on electric passenger vehicle characteristics in China and the European Union

Zia Wadud, James Tate, Han Hao, Fanran Meng et al.
6 citations
Scientific Data
Electric Vehicles and Infrastructure
4.38
article

A high-resolution dataset on electric passenger vehicle characteristics in China and the European Union

Zia Wadud, James Tate, Han Hao, Fanran Meng, Liqiang Mai, Jingxuan Geng, Fanlong Bai, Zongwei Liu, Xin Sun, Yong Geng, Ming Liu, Haoyang Li, Yunfeng Deng, Zhenyu Dong, Fuquan Zhao, Hao Dou
article en
6 citations

Abstract

China and the EU are the world's largest Electric Vehicle (EV) markets, making it crucial to understand their electrification progress for global insights. However, previous assessments of regional EV markets often provide broad EV market characteristic estimations, but neglect critical spatial and segmental heterogeneity, thereby limiting research and policy precision. To fill such a knowledge gap, this study proposes a multi-dataset fusion approach that enables the characterization of passenger vehicle electrification progress in both China and the EU at highly resolved spatial, segmental, and powertrain levels for the year 2023. The dataset includes EV sales, market penetration, battery chemistry mix, and sales-weighted average battery capacity for all wheelbase-defined segments across 31 provinces and municipalities in China, as well as the EU27, Iceland, and Norway. It characterizes the current state of passenger vehicle electrification in China and the EU and supports further research on critical material demand estimation, decarbonization performance assessment, and related topics.

Scientific DataVol. 12(1)
University of Leeds (GB), University of Groningen (NL), Shanghai Jiao Tong University (CN), University of Cambridge (GB), University of Sheffield (GB), Tsinghua University (CN)
National Natural Science Foundation of China, Tsinghua University
Openalex Percentile: Top 5%
Electric Vehicles and Infrastructure
4.38
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