In this approach, a method for the automated generation of a characteristic daily profile from extensive time series data of electric commercial vehicles is developed. The underlying data comes from eight electric buses, which were recorded over a period of twelve months with high temporal resolution. The aim is to classify the large amounts of data and generate a compact, representative daily profile that realistically depicts the main operating phases – charging, standstill and operation. This profile enables a detailed analysis of battery behavior, which can provide valuable insights into the aging of battery systems.

The methodological focus of this work is on the application of Markov models in combination with established approaches to time series analysis. After data preparation, the time series are first segmented into operating phases. The segmented operating phases are then reassembled using a Markov model. The resulting sequence is statistically checked to ensure that it reflects the original data set in essential characteristics.

Another Markov model is used to transform the individual operating phases into current profiles and combine them into an SoC-neutral, 24-hour current profile. This transformation is carried out in compliance with relevant statistical key figures, such as the average Depth of Discharge (DoD) and other characteristic parameters.
The results show that the daily profile generated by the Markov model realistically and re-liably reproduces the statistical properties of the original operating phases. In particular, the duration and frequency of the states as well as the transitions between charging, standstill and discharging phases were consistently reproduced. The comparison with the original data confirms the high accuracy and representativeness of the generated profile.

By applying the Markov model, this work presents an efficient and scalable method for reducing complex time series data. The methods developed provide a reliable basis for simulating battery life and analyzing the operational load of battery systems under realistic conditions.