Research on Carbon Emissions of Electric Vehicles throughout the Life Cycle Assessment Taking into Vehicle Weight and Grid Mix Composition
Open accessAbstract
To study the impact of the promotion of electric vehicles on carbon emissions in China, the full life carbon emissions of electric vehicles are studied on the basis of considering such factors as vehicle weight and grid mix composition, and fuel vehicles are added for comparison. In this paper, we collect data for 34 domestic electric vehicles, and linear regression analysis is used to model the relationship between vehicle weight and energy consumption. Then, a Hybrid Life Cycle Assessment method is used to establish the life cycle carbon emission calculation model for electric vehicles and fuel vehicles. Finally, the life cycle carbon emissions of electric vehicles and fuel vehicles under different electrical energy structures are discussed using scenario analysis. The results show that under the current grid mix composition in China, the carbon emissions of electric vehicles of the same vehicle weight class are 24% to 31% higher than that of fuel vehicles. As the proportion of clean energy in the grid mix composition increases, the advantages of electric vehicles to reduce carbon emissions will gradually emerge.
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Ambient weather conditions have rarely been incorporated into national and regional environmental breakeven studies.
“yet have rarely been incorporated into national and regional environmental breakeven studies (e.g., [34-36]).”
From A National and Regional Greenhouse Gas Breakeven Assessment of EVs across North America (2023) · cites this paper as [35]
The Introduction (page unavailable) identifies vehicle weight, battery capacity, range, and grid mix—not ambient weather—as factors studied, and the Conclusions (page unavailable) compare electric- and fuel-vehicle emissions under different grid mixes. This makes the paper a relevant example of a national emissions comparison that does not appear to incorporate weather, but it does not establish that weather is rarely incorporated across national and regional breakeven studies. (LLM, conf=0.78)
Experimental — accuracy not yet measuredNational results only provide a general depiction of average performance and regional results are needed for more targeted interventions.
“illustrating how the many studies (e.g., [34,35,39,43] which discuss national results only provide a general depiction of average performance and that regional results are needed for more targeted interventions.”
From A National and Regional Greenhouse Gas Breakeven Assessment of EVs across North America (2023) · cites this paper as [35]
The Data Name Source section describes grid-mix estimates for China based on national data, and the Introduction says grid composition affects electric-vehicle emissions. This supports the characterization of the paper as a national-level analysis, but our copy does not say that national results merely depict average performance or that regional results are needed for targeted interventions (searched: regional, national average, and grid mix). (LLM, conf=0.76)
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Percentages, sums and reported differences re-computed from the paper’s own numbers.
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- Authors
- Li, Y., Ha, N., & Li, T.
- Affiliations
- North China Electric Power University (CN)
- Corresponding author
- Ha, Ningning
- Venue
- Energies
- Publisher
- MDPI AG
- Published
- 2019-09-21
- Volume
- 12
- Issue
- 19
- Pages
- 3612
- ISSN
- 1996-1073 (ISSN-L)
- OpenAlex
- W2973310688
- Cited by
- 61
- References
- 22
- Citations by year
- 2026: 7 · 2025: 11 · 2024: 21 · 2023: 8 · 2022: 6 · 2021: 5 · 2020: 3
- FWCI
- 1.26
- Type
- journal article
- Language
- en
- Open access
- gold
- dx.doi.org
- Licence
- Locations
- Energies (publishedVersion, cc-by)
- RePEc: Research Papers in Economics (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Hebei Province Social Science Fund (HB15YJ038)
- Hebei Province Soft Science Foundation (16454302D)
- Central College Fund of North China Electric Power University (2014MS150)
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Electric Vehicles and Infrastructure
- Physical Sciences › Engineering › Automotive Engineering › Vehicle emissions and performance
- Physical Sciences › Environmental Science › Environmental Engineering › Environmental Impact and Sustainability
- Keywords
- electric vehicles, life cycle carbon emissions, vehicle weight, electricity mix, energy consumption, hybrid life cycle assessment, China
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