Evidence map›Paper›PMID 37193809›Full record

ArticleScientific reports2023

Life cycle environmental impact assessment for battery-powered electric vehicles at the global and regional levels.

Hongliang Zhang, Bingya Xue, Songnian Li, Yajuan Yu, Xi Li, Zeyu Chang, Haohui Wu, Yuchen Hu, Kai Huang, Lei Liu and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Hongliang Zhang *School of Management and Economics, Center for Energy and Environmental Policy Research, Beijing Institute of Technology, Beijing, 100081, China.
Bingya Xue *Department of Energy and Environmental Materials, School of Materials Science and Engineering, Beijing Institute of Technology, Beijing, 100081, China.
Songnian LiDepartment of Energy and Environmental Materials, School of Materials Science and Engineering, Beijing Institute of Technology, Beijing, 100081, China.
Yajuan YuDepartment of Energy and Environmental Materials, School of Materials Science and Engineering, Beijing Institute of Technology, Beijing, 100081, China. 04575@bit.edu.cn.
Xi LiBeijing Automotive Technology Center, Beijing, 100163, China.
Zeyu ChangDepartment of Energy and Environmental Materials, School of Materials Science and Engineering, Beijing Institute of Technology, Beijing, 100081, China.
Haohui WuDepartment of Energy and Environmental Materials, School of Materials Science and Engineering, Beijing Institute of Technology, Beijing, 100081, China.
Yuchen HuSchool of Management and Economics, Center for Energy and Environmental Policy Research, Beijing Institute of Technology, Beijing, 100081, China.
Kai HuangCollege of Environmental Science and Engineering, Beijing Forestry University, Beijing, 100083, China.
Lei LiuDepartment of Civil and Resource Engineering, Dalhousie University, Halifax, B3H4R2, Canada.
Lai ChenDepartment of Energy and Environmental Materials, School of Materials Science and Engineering, Beijing Institute of Technology, Beijing, 100081, China.
Yuefeng SuDepartment of Energy and Environmental Materials, School of Materials Science and Engineering, Beijing Institute of Technology, Beijing, 100081, China.

Funding

National Key Research and Development Program of China 2021YFB2401800National Natural Science Foundation of China 52074037
6 · The paper itself

Abstract

As an important part of electric vehicles, lithium-ion battery packs will have a certain environmental impact in the use stage. To analyze the comprehensive environmental impact, 11 lithium-ion battery packs composed of different materials were selected as the research object. By introducing the life cycle assessment method and entropy weight method to quantify environmental load, a multilevel index evaluation system was established based on environmental battery characteristics. The results show that the Li-S battery is the cleanest battery in the use stage. In addition, in terms of power structure, when battery packs are used in China, the carbon footprint, ecological footprint, acidification potential, eutrophication potential, human toxicity cancer and human toxicity noncancer are much higher than those in the other four regions. Although the current power structure in China is not conducive to the sustainable development of electric vehicles, the optimization of the power structure is expected to make electric vehicles achieve clean driving in China.

Identifiers

PMID37193809
PMCPMC10188508

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.