Robert Boschgmbh

Marco Stroebel

Christoph Kroener

Peter Birke

Felix Kleinheinz

The invention relates to a method for estimating the state of an energy store comprising at least one electrochemical battery cell () using a battery management system (BMS) which comprises an impedance spectroscopy chip, having at least the following steps: a) determining the frequency-dependent impedance of the at least one electrochemical battery cell () using a data set recording taken in real-time, b) training an artificial neural network () with temperature-based training spectra as the input and a specification for temperature values belonging to each training spectrum as the output, c) taking into consideration a battery cell-to-battery cell variance () between the electrochemical battery cells () when testing the artificial neural network () using weighting functions ascertained during step b) and test spectra and estimating the temperature values belonging to the test spectra according to the weighting functions ascertained in step b), and d) estimating at least one internal state (SoC, SoH, T) of the at least one electrochemical battery cell () of the energy store using the trained artificial neural network ().

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Stuttgart, Germany

Marco Stroebel