Nonlinear model predictive control for lifetime extension of self-reconfigurable batteries

Jérôme Blatter (1) , Vincent Heiries (2) , Remy Thomas (1) , Ghislain Despesse (2)

1 DEHT - Département de l'électricité et de l'hydrogène dans les transports
2 DSYS - Département Systèmes

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%.

Domains: Electric power; Systems and Control [cs.SY]; Automatic Control Engineering

Jérôme Blatter, Vincent Heiries, Remy Thomas, Ghislain Despesse. Nonlinear model predictive control for lifetime extension of self-reconfigurable batteries. SSI 2022 - Smart Systems Integration, IEEE, Apr 2022, Grenoble, France. ⟨10.1109/SSI56489.2022.9901423⟩. ⟨cea-03907679⟩