Cost Projection of State of the Art Lithium-Ion Batteries for Electric Vehicles Up to 2030
By Gert Berckmans, M. Messagie, J. Smekens, Noshin Omar, Lieselot Vanhaverbeke, J. Van Mierlo. 2017
525 citations recorded by the source corpus.
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.
View Paper: https://www.semanticscholar.org/paper/e2bc89f0620daa9474797e870d4f17ab9f2c8554
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Citations in the corpus
- Learning only buys you so much: Practical limits on battery price reduction (2019, methodology): “predicted cost and sale prices of NMC-based batteries up to 2030 by using process-based cost modeling, which entailed individual learning curves of the material, energy, labor, and overhead costs.[10] All four of these “learning curvebased” models in the literature predict that battery prices will d”