Overview
A computationally-efficient and reliable method is developed to simultaneously assess both the short- and long-term performance of lithium-ion battery for power system planning studies. Towards this end, a physics-based equivalent circuit model of the lithium-ion battery is derived in which side reaction-induced degradation of the battery is included. A computational procedure is developed to enable the parametric values of the circuit elements in the equivalent circuit model to be automatically updated as the battery operates.
The resulting model allows the increase in the internal resistance and the decrease in the energy storage capacity of the battery to be determined, based solely on the information of the power flows at the battery terminals. Dynamic simulation results obtained using the developed equivalent circuit model are shown to be in close agreement with those obtained from well-established electrochemical models, but at a much reduced computational burden.
Outcomes
- Modelling considerations of grid-connected BESS and the essence of an electrochemical model of Li-ion battery
- Development of a physics-based ECM with the incorporation of the major degradation mechanism
- Development of a reduced-order ECM suitable for system-level studies
- Development of several indices to provide analysis and quantitative measures of the energy storage and power delivery capabilities of the battery
key features and advantages
By taking into account the side reactions into the modelling process, it is shown that the derived battery models yield results which are in good agreement with those obtained from reported test measurements, as well as simulation results obtained using the well-established electrochemical P2D and single particle models, but at much reduced computational burden.
For further detail
Li, Y., Vilathgamuwa, M. Farrell, T. W., Tran, N. T., & Teague, J. (2019). Development of a degradation-conscious physics-based lithium-ion battery model for use in power system planning studies. Applied Energy, 248, 512-525.
Funding
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Partners:
- Australian Research Council