engineering tools for lithium- ion batteries · kth royal institute of technology engineering tools...
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KTH ROYAL INSTITUTE
OF TECHNOLOGY
Engineering tools for lithium-ion batteries Development of predictive models for aging and lifetime Maria Varini Göteborg, April 2016
Starting date: 2015-01-01
Ending date: 2019-06-30
Partners in the project: KTH (Kungliga Tekniska Högskolan),
Energimyndigheten
Support (fundings): 9 040 969 kr
Information about the project
Performance requirements
Dominating the market of consumer
electronics
Used/Evaluated for
• Electric vehicles
• Large scale energy storage
T. Kim, J. Park, S. K. Chang, S. Choi, J. H. Riu, H. Song, ”The current move for lithium ion batteries towards the next
phase”, Adv. Energy Mater. 2 (2012), 860 – 872.
Lifetime requirements
Average lifetime for consumer electronics:
3-5 years
Requirements from automotive sector (HEV, BEV, PHEV)
10 -15 years
How to know if the battery meets the requirements?
Relevant for the entire value chain (new battery
chemistries…)
Prediction of battery performance and lifetime
that takes into account
• Operating conditions
• Materials
• Design
Li-ion battery modeling
- Empirical models (fitted to experimental data)
simple construction
fast computational speed
bound to the conditions in which data were collected
- Physics-based models
Parameteres need to be determined from experimental
data.
description of phenomena
accurate prediction
heavy from the computational point of view
high number of parameters required
K. Uddin, A. Picarelli, C. Lyness, N. Taylor, J. Marco, "An Acausal Li-Ion Battery Pack Model for Automotive Applications", Energies 2014, 7(9), 5675-
5700.
H. Lundgren, P. Svenz, H. Ekström, C. Tengstedt, J. Lindström, M. Behm. G. Lindbergh, “Thermal Management of Large-format Prismatic Lithium-Ion
Battery in PHEV Applications”, Journal of the Electrochemical Society 163 (2), A309 – A317 (2016).
Modeling performance and lifetime
• Performance models
• Models of aging processes on a local scale
different causes and interaction between them
Capacity fade/(energy loss)
Impedance rise/(power fade)
difficult to quantify the impact of every process
long term processes
• Integral lifetime prediction models
Current status
Focus: effect of temperature (10, 25 and 40 dC)
Electrochemical tests
• Li NMC 111 (LiNi1/3Mn1/3Co1/3O2)
half cell
three electrodes (R.E.)
Current status
Focus: effect of temperature (10, 25 and 40 dC)
Parameters extracted in function of T and SoC
- Diffusion coefficient of Li in Li NMC 111