Redox flow battery time‐varying parameter estimation based on high‐order sliding mode differentiators

A new insight into vanadium redox flow batteries (VRFB) parameter estimation is presented. Driven by the electric vehicles proliferation, a hybrid fast-charging station with grid and renewable energy connection particularly considered. In this stationary application, VRFB operating as buffering module. This topology could contribute to reduce cost of charging station. However, make viable technology, improvements are needed. Among these, some most important in field battery's State Charge, Health, internal parameters. The proposed method based on recursive least square (RLS) algorithm forgetting factor, combined sliding mode finite-time convergent differentiation algorithm. latter provides robust exact derivatives both VRFB's current voltage high degree noise rejection, required RLS perform precise estimation. mode-based setup completed systematic methodology guarantee validity on-line estimated values, depending persistence excitation measured voltage. Finally, thoroughly analysed validated computer simulation.