The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Ni‐Rich/Co‐Poor Layered Cathode for Automotive Li‐Ion Batteries: Promises and Challenges
Abstract
To pursue a higher energy density (>300 Wh kg−1 at the cell level) and a lower cost (<$125 kWh−1 expected at 2022) of Li‐ion batteries for making electric vehicles (EVs) long range and cost‐competitive with internal combustion engine vehicles, developing Ni‐rich/Co‐poor layered cathode (LiNi 1−x−yCoxMnyO 2, x+y ≤ 0.2) is currently one of the most promising strategies because high Ni content is beneficial to high capacity (>200 mAh g−1) while low Co content is favorable to minimize battery cost. Unfortunately, Ni‐rich cathodes suffer from limited structure stability and electrode/electrolyte interface stability in the charged state, leading to electrode degradation and poor cycling performance. To address these problems, various strategies have been employed such as doping, structural optimization design (e.g., core–shell structure, concentration‐gradient structure, etc.), and surface coating. In this review, five key aspects of Ni‐rich/Co‐poor layered cathode materials are explored: energy density, fast charge capability, service life including cycling life and calendar life, cost and element resources, and safety. This enables a comprehensive analysis of current research advances and challenges from the perspective of both academy and industry to help facilitate practical applications for EVs in the future.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
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
Olivetti, E. A., Ceder, G., Gaustad, G. G., & Fu, X. (2017) · Joule · doi:10.1016/j.joule.2017.08.019 · Cited by 1,572
Calendar Aging of Lithium-Ion Batteries: I. Impact of the Graphite Anode on Capacity Fade
Keil, P., Schuster, S. F., Wilhelm, J., Travi, J., Hauser, A., Karl, R. C., & Jossen, A. (2016) · Journal of The Electrochemical Society · doi:10.1149/2.0411609jes · Cited by 669
Cited by
Degen, F., Winter, M., Bendig, D., & Tübke, J. (2023) · Nature Energy · doi:10.1038/s41560-023-01355-z · Cited by 861
Jiang, M., Danilov, D. L., Eichel, R., & Notten, P. H. L. (2021) · Advanced Energy Materials · doi:10.1002/aenm.202103005 · Cited by 720
Reducing the thickness of solid-state electrolyte membranes for high-energy lithium batteries
Wu, J., Yuan, L., Zhang, W., Li, Z., Xie, X., & Huang, Y. (2021) · Energy & Environmental Science · doi:10.1039/d0ee02241a · Cited by 425
Lithium-ion batteries and the future of sustainable energy: A comprehensive review
Ngoy, K. R., Lukong, V. T., Yoro, K. O., Makambo, J. B., Chukwuati, N. C., Ibegbulam, C., Eterigho-Ikelegbe, O., Ukoba, K., & Jen, T.-C. (2025) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2025.115971 · Cited by 396
Xu, G., Liu, X., Daali, A., Amine, R., Chen, Z., & Amine, K. (2020) · Advanced Functional Materials · doi:10.1002/adfm.202004748 · Cited by 313
Self-citation
Metadata
- Authors
- Wang, X., Ding, Y., Deng, Y., & Chen, Z.
- Venue
- Advanced Energy Materials
- Publisher
- Wiley
- Published
- 2020-02-14
- Volume
- 10
- Issue
- 12
- ISSN
- 1614-6832 (ISSN-L)
- 1614-6840
- OpenAlex
- W3006580049
- Cited by
- 427
- References
- 3
- FWCI
- 22.79
- Type
- journal article
- Language
- en
- Open access
- closed
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.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Ni‐Rich/Co‐Poor Layered Cathode for Automotive Li‐Ion Batteries: Promises and Challenges. https://app.cochat.ai/papers/10.1002/aenm.201903864
- The paper
- Wang, X., Ding, Y., Deng, Y., & Chen, Z. (2020). Ni‐Rich/Co‐Poor Layered Cathode for Automotive Li‐Ion Batteries: Promises and Challenges. Advanced Energy Materials. https://doi.org/10.1002/aenm.201903864
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.