Control-Oriented Modeling of All-Solid-State Batteries Using Physics-Based Equivalent Circuits

Considered as one of the ultimate energy storage technologies for electrified transportation, emerging all-solid-state batteries (ASSBs) have attracted immense attention due to their superior thermal stability, increased power and densities, prolonged cycle life. To achieve expected high performance, practical applications ASSBs require accurate computationally efficient models design implementation many onboard management algorithms, so that ASSB safety, health, cycling performance can be optimized under a wide range operating conditions. A control-oriented modeling framework is thus established in this work by systematically simplifying rigorous partial differential equation (PDE) based model developed from underlying electrochemical principles. Specifically, fraction expansion moment matching are used obtain ordinary reduced-order (ROMs). By expressing canonical circuit form, excellent properties control such structural simplicity full observability revealed. Compared original PDE model, ROMs demonstrated fidelity at significantly improved computational efficiency. Extensive comparisons also been conducted verify its superiority prevailing consideration concentration-dependent diffusion migration. Such advanced future intelligent systems ASSBs.