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Author：

Chen, Q. (Chen, Q..) | Lai, X. (Lai, X..) | Chen, J. (Chen, J..) | Huang, Y. (Huang, Y..) | Guo, Y. (Guo, Y..) | Wang, Y. (Wang, Y..) | Han, X. (Han, X..) | Lu, L. (Lu, L..) | Sun, Y. (Sun, Y..) | Ouyang, M. (Ouyang, M..) | Zheng, Y. (Zheng, Y..)

Indexed by：

EI Scopus SCIE

Abstract：

Electric　vehicles　are　becoming　increasingly　prevalent　as　an　effective　solution　to　reduce　resource　scarcity　and　greenhouse　gas　emissions.　As　the　core　component　of　electric　vehicles,　lithium-ion　batteries　(LIBs)　play　a　crucial　role　in　energy　storage　and　conversion.　When　LIBs　are　used　in　long-term　service,　it　is　essential　to　carefully　consider　the　impact　of　modeling　methods　on　both　the　environmental　benefits　and　burdens　associated　with　their　usage.　In　this　study,　eight　calculation　models　are　chosen,　and　multiple　environmental　impacts　of　battery　use-phase　are　compared　based　on　life　cycle　assessment.　The　application　of　different　computational　models　produced　widely　varying　results,　and　previous　conclusions　regarding　the　environmental　impacts　of　battery　usage　need　to　be　revisited.　Moreover,　the　different　models　during　the　battery　use-phase　exhibits　an　outstanding　contribution　to　the　life　cycle　carbon　footprint　and　midpoint　indicators.　Sensitivity　analysis　reveals　that　battery　efficiency　is　the　most　sensitive　parameter　to　environmental　indicators　during　use.　Environmental　impacts　during　the　battery　use-phase　should　consider　the　characteristics　of　different　models　to　ensure　the　reliability　and　comparability　of　the　study.　©　2024　Elsevier　Ltd

Keyword：

Electric vehicles Environmental impact Lithium-ion battery Life cycle assessment Use-phase Calculation

Author Community：

  • [ 1 ] [Chen Q.]School of Mechanical Engineering, University of Shanghai for Science and Technology, Shanghai, 200093, China
  • [ 2 ] [Lai X.]School of Mechanical Engineering, University of Shanghai for Science and Technology, Shanghai, 200093, China
  • [ 3 ] [Chen J.]School of Mechanical Engineering, University of Shanghai for Science and Technology, Shanghai, 200093, China
  • [ 4 ] [Huang Y.]School of Mechanical Engineering, University of Shanghai for Science and Technology, Shanghai, 200093, China
  • [ 5 ] [Guo Y.]School of Vehicle and Mobility, Tsinghua University, Beijing, 100084, China
  • [ 6 ] [Wang Y.]School of Mechanical and Energy Engineering, Beijing University of Technology, Beijing, 100124, China
  • [ 7 ] [Han X.]School of Vehicle and Mobility, Tsinghua University, Beijing, 100084, China
  • [ 8 ] [Lu L.]School of Vehicle and Mobility, Tsinghua University, Beijing, 100084, China
  • [ 9 ] [Sun Y.]School of Mechanical Engineering, University of Shanghai for Science and Technology, Shanghai, 200093, China
  • [ 10 ] [Ouyang M.]School of Vehicle and Mobility, Tsinghua University, Beijing, 100084, China
  • [ 11 ] [Zheng Y.]School of Mechanical Engineering, University of Shanghai for Science and Technology, Shanghai, 200093, China

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Source ：

Energy

ISSN： 0360-5442

Year： 2024

Volume： 296

9 . 0 0 0

JCR@2022

Cited Count：

WoS CC Cited Count： 0

SCOPUS Cited Count： 9

ESI Highly Cited Papers on the List： 0 Unfold All

WanFang Cited Count：

Chinese Cited Count：

30 Days PV： 10

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