The DOI matches its Crossref record; 134 of the 134 references it cites were found in a registry or an index.
Battery cost forecasting: a review of methods and results with an outlook to 2050
Open accessAbstract
This review analyzes 53 publications that forecast battery cost and provides transparency on methodological and technological details.
Overview
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Citations
Cites
Competitive Strategy: Techniques for Analyzing Industries and Competitors
(1980) · Journal of Sustainable Competitive Intelligence · doi:10.24883/iberoamericanic.v2i2.38 · Cited by 16,592
The role of hydrogen and fuel cells in the global energy system
Staffell, I., Scamman, D., Velazquez Abad, A., Balcombe, P., Dodds, P. E., Ekins, P., Shah, N., & Ward, K. R. (2019) · Energy & Environmental Science · doi:10.1039/c8ee01157e · Cited by 4,187
A solid future for battery development
Janek, J., & Zeier, W. G. (2016) · Nature Energy · doi:10.1038/nenergy.2016.141 · Cited by 3,979
Self-citationPerformance and cost of materials for lithium-based rechargeable automotive batteries
Schmuch, R., Wagner, R., Hörpel, G., Placke, T., & Winter, M. (2018) · Nature Energy · doi:10.1038/s41560-018-0107-2 · Cited by 3,233
Factors Affecting the Cost of Airplanes
WRIGHT, T. P. (1936) · Journal of the Aeronautical Sciences · doi:10.2514/8.155 · Cited by 2,958
Batteries and fuel cells for emerging electric vehicle markets
Cano, Z. P., Banham, D., Ye, S., Hintennach, A., Lu, J., Fowler, M., & Chen, Z. (2018) · Nature Energy · doi:10.1038/s41560-018-0108-1 · Cited by 2,873
A cost and resource analysis of sodium-ion batteries
Vaalma, C., Buchholz, D., Weil, M., & Passerini, S. (2018) · Nature Reviews Materials · doi:10.1038/natrevmats.2018.13 · Cited by 2,613
Gür, T. M. (2018) · Energy & Environmental Science · doi:10.1039/c8ee01419a · Cited by 2,566
The lithium-ion battery: State of the art and future perspectives
Zubi, G., Dufo-López, R., Carvalho, M., & Pasaoglu, G. (2018) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2018.03.002 · Cited by 2,563
Advances in lithium–sulfur batteries based on multifunctional cathodes and electrolytes
Pang, Q., Liang, X., Kwok, C. Y., & Nazar, L. F. (2016) · Nature Energy · doi:10.1038/nenergy.2016.132 · Cited by 2,167
Cited by
Degen, F., Winter, M., Bendig, D., & Tübke, J. (2023) · Nature Energy · doi:10.1038/s41560-023-01355-z · Cited by 861
Cost, energy, and carbon footprint benefits of second-life electric vehicle battery use
Dong, Q., Liang, S., Li, J., Kim, H. C., Shen, W., & Wallington, T. J. (2023) · iScience · doi:10.1016/j.isci.2023.107195 · Cited by 110
Li, A. G., West, A. C., & Preindl, M. (2022) · Applied Energy · doi:10.1016/j.apenergy.2022.119030 · Cited by 93
Metadata
- Authors
- Mauler, L., Duffner, F., Zeier, W. G., & Leker, J.
- Venue
- Energy & Environmental Science
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2021
- Volume
- 14
- Issue
- 9
- Pages
- 4712-4739
- ISSN
- 1754-5692 (ISSN-L)
- 1754-5706
- OpenAlex
- W3189065864
- Cited by
- 499
- References
- 134
- FWCI
- 23.00
- Type
- journal article
- Language
- en
- Open access
- hybrid
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Battery cost forecasting: a review of methods and results with an outlook to 2050. https://app.cochat.ai/papers/10.1039/d1ee01530c
- The paper
- Mauler, L., Duffner, F., Zeier, W. G., & Leker, J. (2021). Battery cost forecasting: a review of methods and results with an outlook to 2050. Energy & Environmental Science. https://doi.org/10.1039/d1ee01530c
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
