Method for determining an optimized
system behavior of a
hybrid energy storage system (1) with at least a first
energy storage device (2) and a second
energy storage device (3) by determining an optimal adjoint (λ*), comprising: - Executing a first
iteration loop (10) in several passes, where each successive pass is associated with a possible adjoint (λ), - wherein, for each iteration of the first
iteration loop (10), a second
iteration loop (20) is executed, which includes the steps: • Determining an
optimal control variable (u*) for each successive point in time within a given period, where the
optimal control variable (u*) is a quantity that describes the energy absorbed or released by the second energy storage device and is determined based on a minimum of a Hamiltonian function (H), where the Hamiltonian function (H) belongs to the energy storage
system (1) and depends on a modeled system parameter (L) m ), the possible adjoint (λ) and a storage state (SoC2) of the second energy storage (3) is, where the modeled system parameter (L m ) is a parameter of the
hybrid energy storage system (1) to be optimized, and is determined according to a predefined performance profile which is traversed by the energy storage system (1) in the predefined period, and • Calculating a final memory state (SOC) 2E ) of the second energy storage device (3), which the second energy storage device (3) exhibits after the specified period, if the energy absorbed or released by the second energy storage device (3) during the specified period was controlled according to the respective
optimal control variable (u*), - Detect whether the final memory state (SOC) calculated using the second iteration loops (20) 2E ) of the second energy storage (3) lies within a specified interval and provide an optimal adjoint (λ*) which corresponds to the possible adjoint (λ) of the first iteration loop (10) for which it was detected that the final storage state (SOC) 2E ) lies within the specified interval.