Next Article in Journal
Time-Aware Monitoring of Overhead Transmission Line Sag and Temperature with LoRa Communication
Previous Article in Journal
Comparison Study of Induction Motor Models Considering Iron Loss for Electric Drives
Open AccessFeature PaperEditor’s ChoiceArticle

A Bottom-Up Approach to Lithium-Ion Battery Cost Modeling with a Focus on Cathode Active Materials

1
Institute of Business Administration at the Department of Chemistry and Pharmacy (IfbM), University of Münster, Leonardo-Campus 1, 48149 Münster, Germany
2
Helmholtz-Institute Münster (HIMS), 48149 Münster, Germany
*
Author to whom correspondence should be addressed.
Energies 2019, 12(3), 504; https://doi.org/10.3390/en12030504
Received: 11 January 2019 / Revised: 30 January 2019 / Accepted: 1 February 2019 / Published: 5 February 2019
In this study, we develop a method for calculating electric vehicle lithium-ion battery pack performance and cost. To begin, we construct a model allowing for calculation of cell performance and material cost using a bottom-up approach starting with real-world material costs. It thus provides a supplement to existing models, which often begin with fixed cathode active material (CAM) prices that do not reflect raw metal price fluctuations. We collect and display data from the London Metal Exchange to show that such metal prices, in this case specifically cobalt and nickel, do indeed fluctuate and cannot be assumed to remain static or decrease consistently. We input this data into our model, which allows for a visualization of the effects of these metal price fluctuations on the prices of the CAMs. CAMs analyzed include various lithium transition metal oxide-type layered oxide (NMC and NCA) technologies, as well as cubic spinel oxide (LMO), high voltage spinel oxide (LNMO), and lithium metal phosphate (LFP). The calculated CAM costs are combined with additional cell component costs in order to calculate full cell costs, which are in turn scaled up to full battery pack costs. Economies of scale are accounted for separately for each cost fraction. View Full-Text
Keywords: battery costs; battery cost model; cobalt; supply risk; Li-ion; lithium-ion; economies of scale; electric vehicles battery costs; battery cost model; cobalt; supply risk; Li-ion; lithium-ion; economies of scale; electric vehicles
Show Figures

Figure 1

MDPI and ACS Style

Wentker, M.; Greenwood, M.; Leker, J. A Bottom-Up Approach to Lithium-Ion Battery Cost Modeling with a Focus on Cathode Active Materials. Energies 2019, 12, 504.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Search more from Scilit
 
Search
Back to TopTop