Abstract
Electric ships utilising batteries for onboard energy storage have increased in numbers in recent years. One safety aspect of such ships is that the batteries have sufficient capacity at all times during operation. It is therefore necessary to monitor the battery capacity and to display a measure of this to the navigator on the bridge. Classification societies require that the state of health from the BMS shall be verified by an independent method, and this is often obtained by regular physical tests. In this paper, a data-driven method based on sensor data is presented as an alternative approach to verifying the state of health. The method presented in this paper offers significant advantages in that it is a snapshot method, and that it does not require training data. It uses an ensemble of simple linear model based on Coulomb counting and it is tried out on both laboratory cycling data and operational data from several battery systems onboard ships in normal operation. Results are quite good on lab data, and promising on operational data, but proper validation of the approach is difficult without longer time-histories of operational data.
Published Version
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