The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Cost Projection of State of the Art Lithium-Ion Batteries for Electric Vehicles Up to 2030
Open accessAbstract
The negative impact of the automotive industry on climate change can be tackled by changing from fossil driven vehicles towards battery electric vehicles with no tailpipe emissions. However their adoption mainly depends on the willingness to pay for the extra cost of the traction battery. The goal of this paper is to predict the cost of a battery pack in 2030 when considering two aspects: firstly a decade of research will ensure an improvement in material sciences altering a battery’s chemical composition. Secondly by considering the price erosion due to the production cost optimization, by maturing of the market and by evolving towards to a mass-manufacturing situation. The cost of a lithium Nickel Manganese Cobalt Oxide (NMC) battery (Cathode: NMC 6:2:2 ; Anode: graphite) as well as silicon based lithium-ion battery (Cathode: NMC 6:2:2 ; Anode: silicon alloy), expected to be on the market in 10 years, will be predicted to tackle the first aspect. The second aspect will be considered by combining process-based cost calculations with learning curves, which takes the increasing battery market into account. The 100 dollar/kWh sales barrier will be reached respectively between 2020-2025 for silicon based lithium-ion batteries and 2025–2030 for NMC batteries, which will give a boost to global electric vehicle adoption.
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Cites
Simulation and Optimization of the Dual Lithium Ion Insertion Cell
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The development and future of lithium ion batteries
Blomgren, G. E. (2017) · Journal of The Electrochemical Society · doi:10.1149/2.0251701jes · Cited by 1,940
Rapidly falling costs of battery packs for electric vehicles
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The rechargeable revolution: a better battery
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Cited by
Commercialization of Lithium Battery Technologies for Electric Vehicles
Zeng, X., Li, M., Abd El‐Hady, D., Alshitari, W., Al‐Bogami, A. S., Lu, J., & Amine, K. (2019) · Advanced Energy Materials · doi:10.1002/aenm.201900161 · Cited by 1,542
Lipu, M. S. H., Hannan, M. A., Hussain, A., Hoque, M. M., Ker, P. J., Saad, M. H. M., & Ayob, A. (2018) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2018.09.065 · Cited by 755
End-of-life or second-life options for retired electric vehicle batteries
Zhu, J., Mathews, I., Ren, D., Li, W., Cogswell, D., Xing, B., Sedlatschek, T., Kantareddy, S. N. R., Yi, M., Gao, T., et al. (2021) · Cell Reports Physical Science · doi:10.1016/j.xcrp.2021.100537 · Cited by 306
A Bottom-Up Approach to Lithium-Ion Battery Cost Modeling with a Focus on Cathode Active Materials
Wentker, M., Greenwood, M., & Leker, J. (2019) · Energies · doi:10.3390/en12030504 · Cited by 268
Hannan, M. A., How, D. N. T., Lipu, M. S. H., Mansor, M., Ker, P. J., Dong, Z. Y., Sahari, K. S. M., Tiong, S. K., Muttaqi, K. M., Mahlia, T. M. I., et al. (2021) · Scientific Reports · doi:10.1038/s41598-021-98915-8 · Cited by 196
Metadata
- Authors
- Berckmans, G., Messagie, M., Smekens, J., Omar, N., Vanhaverbeke, L., & Van Mierlo, J.
- Venue
- Energies
- Publisher
- MDPI AG
- Published
- 2017-09-01
- Volume
- 10
- Issue
- 9
- Pages
- 1314
- ISSN
- 1996-1073 (ISSN-L)
- OpenAlex
- W2751296269
- Cited by
- 578
- References
- 5
- FWCI
- 35.37
- Type
- journal article
- Language
- en
- Open access
- gold
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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.
