Parameter Estimation
Battery models many times contain unknown parameters, for instance diffusion constants or rate constants, that are hard to measure in separate experiments outside (ex-situ) a battery cell. To fit model parameter values to experimental data, the Parameter Estimation () node, which may be added to a Study () node in the model builder tree, can be used.
The Battery Design Module includes the Parameter Estimation node, together with the BOBYQA, IPOPT, and Levenberg–Marquardt optimization solvers, which may be used to perform parameter fitting of both stationary and time-dependent models.
The documentation of the parameter estimation node and the optimization solvers is found in the Optimization Module User’s Guide, which is supplied with the Battery Design Module irrespective of whether a separate Optimization Module license is purchased.
Parameter Estimation of a Time-Dependent Lumped Battery Model: Application Library path Battery_Design_Module/Lithium-Ion_Batteries,_Performance/lumped_li_battery_parameter_estimation