Self-reconfigurable battery architectures have gained a lot of interest recently in the literature, with more and more advanced functionalities. This paper describes the performance analysis of our proposed High Frequency Self-Reconfigurable Battery (HF SRB). To evaluate specific features with long-term dependencies of our system, a full functional behavioral simulator was developed. A comparison with a real 128-level HF SRB validated the simulator operation. The balancing performances obtained on vehicle test cycles showed the cell capacity discrepancy that the HF SRB is capable of handling in a single complete charge or discharge cycle. The magnitude of this gap demonstrated the extent to which the HF SRB is capable of operating with second life cells or even different chemistry mixes.

Self-reconfigurable batteries (SRB) are advance battery systems where semiconductor switches allow cells to be connected or bypassed dynamically. The in-line configuration even allows the direct generation of AC current without any power converter while allowing a flexible cell usage. This paper introduces a new method of SRB control with nonlinear Model Predictive Control (nMPC) with the aim to reduce battery ageing. A full battery cell model is used to perform the minimization of the SRB capacity losses. Simulation results on WLTP profile validate the proposed method with a capacity loss reduction of 12.4%.