Abstract
A lithium-ion battery model based on the Single Particle Model (SPM) is formulated in MATLAB®. The model consists of a set of first-principle (algebraic and PDEs) and empirical equations that describe the dynamic behaviour of a Li-ion battery system. A sensitivity analysis is performed to identify the most important parameters and variables in the model. To assess the loss of battery capacity through cycling, the reduction of the electrolyte (ethylene carbonate) is considered as a side reaction. The battery is cycled until the end-of-life conditions are met: EODV (end of discharge voltage) below 3 V or capacity fading greater than 20% of the initial capacity of the battery. A gradient-based optimization is performed, identifying the maximum number of cycles within the simulated conditions. The influence of time of discharge, depth-of-discharge and ageing parameters is also assessed.
Original language | English |
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Pages (from-to) | 2563-2568 |
Number of pages | 6 |
Journal | Computer Aided Chemical Engineering |
Volume | 40 |
DOIs | |
Publication status | Published - Oct 2017 |
Externally published | Yes |
Event | 27th European Symposium on Computer Aided Process Engineering, ESCAPE 2017 - Barcelona, Spain Duration: 1 Oct 2017 → 5 Oct 2017 Conference number: 27 |
Keywords
- battery energy storage systems
- energy storage
- modeling
- renewable energy
- sensitivity analysis