A hybrid lithium-ion battery model for system-level analyses
Research output: Contribution to journal › Article
We describe an advanced lithium-ion battery model for system-level analyses such as electric vehicle fleet simulation or distributed energy storage applications. The model combines an empirical multi-parameter model and an artificial neural network with particular emphasis on thermal effects such as battery internal heating. The model is fast and can accurately describe constant current charging and discharging of a battery cell at a variety of ambient temperatures. Comparison to a commonly used linear kilowatt-hour counter battery model indicates that a linear model overestimates the usable capacity of a battery at low temperatures. We highlight the importance of including internal heating in a battery model at low temperatures, as more capacity is available when internal heating is taken into account.
|Number of pages||17|
|Journal||International Journal of Energy Research|
|Publication status||Published - 1 Sep 2016|
|MoE publication type||A1 Journal article-refereed|
- battery, empirical, energy system, hybrid, lithium-ion, neural network