Does your solver fail for battery models?A major difficulty solvers have with battery models is the unknown values for certain battery states (such as SOC, SOH or individual electrode potential) at the start of a simulation. When trying to solve a system of differential algebraic equations (DAEs), which are present in most electrochemically based battery models, normal solvers will fail if the initial conditions for all the state variables are inconsistent. This causes issues in Battery management system. In addition, a nonlinear solver is typically used for battery models. We have developed an approach that helps solve battery models without knowing the exact initial conditions and without having to use a Newton Raphson iteration or a nonlinear solver.
Direct initialization and simulation of index 1 DAEs. The algebraic variables (z) are initialized to consistent condition and the system is solved after that. Claims: We confidently claim that the proposed approach is the most robust approach for solving index -1 DAEs as of today. If there is a better approach for robustness and efficiency, we would like to know of the same. In addition, if the proposed approach fails for any index-1DAE or battery model, we would like to be alerted about the same.
D. N. Sonawane, M. T. Lawder, M. Pathak and Venkat R. Subramanian, "Robust fail-safe iteration free approach for solving Index-1 DAEs arising from battery models", US Patent application #62/194,678.
Please feel free to contact Dr. Venkat Subramanian for any comments.
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