Balancing control based on states of charge and states of health estimates at cell level
Résumé
Optimized balancing strategies are
required to manage in the long-term the imbalances in
batteries with cells strings. They are usually based on
voltage monitoring and/or instantaneous estimates of
the cells states of charge and aim to equalize the states
of the cells at the end of a charge. The present paper
proposes to take benefit from estimates of the cells
capacity disparities to optimize these strategies. It
allows the battery management system to predict the
balancing needs in order that each of the cells reaches
its individualized objective. After the presentation of
the algorithm principle, a focus is done on passive
balancing systems. They are implemented for numeric
simulations with a Li-ion battery.