Multi-objective particle swarm optimization and training of datasheet-based load dependent lithium-ion voltage models Vrije Universiteit Brussel
In this study, a datasheet-based lithium-ion (Li-ion) battery cell model is built, trained and validated by utilizing Multi-Objective Particle Swarm Optimization (MOPSO). Firstly, in order to determine the most suitable solver among various multi-objective solutions, a first-order (1RC) Thevenin model is adopted. At this stage, a thorough comparison is carried out among the Mean Squared Errors (MSE), Mean Signed (MSD) and Average Deviations ...