Method for determining of at least one characteristic value of a battery cell

A system comprising:

• at least one device configured to make a local determination of at least one characteristic value of a battery cell, wherein the at least one device is further configured to supply to a neural network a time series of voltages and time, or another measure of a state-of-health indicator of a cell, measured during normal operation, wherein the neural network is a network that is designed for sequence-to-sequence deep learning, wherein the at least one device is further configured to obtain an indicator from the neural network, wherein the indicator is a further measure of the anticipated degradation of the battery cell, wherein the indicator is determined from the history of the nominal capacity of the battery cell;
• and
• a remote computation device, wherein the remote computation device comprises a similar neural network, wherein the neural network obtains data from ageing tests of at least one similar cell. and from determined voltages and time stamps, wherein a model of the remote computation device, thereby trained, is made available to a the neural network of the at least one device.

Use of a neural network, which is designed for sequence-to-sequence deep learning. in a method for the determination of at least one characteristic value of a battery cell.