Journal
JOURNAL OF POWER SOURCES
Volume 384, Issue -, Pages 66-79Publisher
ELSEVIER SCIENCE BV
DOI: 10.1016/j.jpowsour.2018.02.065
Keywords
Lithium ion battery; Modelling; Empirical; Parameterisation; Physics model; Degradation
Funding
- Innovate UK
- EPSRC [EP/I00422X/1, EP/K002252/1, EP/P003605/1]
- ESRN Energy Storage Research Network project
- FUTURE vehicles project [EP/I038586/1]
- EPSRC [EP/R020973/1] Funding Source: UKRI
- Engineering and Physical Sciences Research Council [EP/P003605/1, EP/I00422X/1, EP/K002252/1] Funding Source: researchfish
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Accurate diagnosis of lithium ion battery state-of-health (SOH) is of significant value for many applications, to improve performance, extend life and increase safety. However, in-situ or in-operando diagnosis of SOH often requires robust models. There are many models available however these often require expensive-to-measure ex situ parameters and/or contain unmeasurable parameters that were fitted/assumed. In this work, we have developed a new empirically parameterised physics-informed equivalent circuit model. Its modular construction and low-cost parametrisation requirements allow end users to parameterise cells quickly and easily. The model is accurate to 19.6 mV for dynamic loads without any global fitting/optimisation, only that of the individual elements. The consequences of various degradation mechanisms are simulated, and the impact of a degraded cell on pack performance is explored, validated by comparison with experiment. Results show that an aged cell in a parallel pack does not have a noticeable effect on the available capacity of other cells in the pack. The model shows that cells perform better when electrodes are more porous towards the separator and have a uniform particle size distribution, validated by comparison with published data. The model is provided with this publication for readers to use.
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