Method and system for detecting faults in a charging infrastructure system for electric vehicles

A non-transitory computer readable medium storing a computer program with program-code to execute steps of:

• for a charging process at a charging station:
• obtaining, for the charging process, target characteristics of the charging process;
• determining, for the charging process, process parameters based on the obtained target characteristics of the charging process;
• performing the charging process based on the determined process parameters;
• determining a performance metric for the performed charging process based on the obtained target characteristics;
• generating a data set for the performed charging process, wherein the data set comprises meta information of the performed charging process, the determined target characteristics of the performed charging process associated with determined variables for the performed charging process and the determined performance metric for the performed charging process;
• and
• storing the generated data set in a database;
• and
• for a plurality of charging processes:
• calculating and storing at least one first set of statistic data based on stored data sets in the database for a first time interval and at least one second set of statistic data based on the stored data sets in the database for a second time interval;
• comparing the at least one first set of statistic data with the at least one second set of statistic data for each stored data set to compute a set of difference values for each stored dataset;
• and
• determining for each data set, based on the computed set of difference values, whether the charging infrastructure system operates in an anomalous operating state.

A system for detecting an anomalous operating state in a charging infrastructure system for charging a battery, the system comprising:

• at least one electric charger configured to charge the battery in a charging process;
• an interface configured to obtain target characteristics of the charging process;
• and
• at least one processor configured to:
• determine for the charging process, process parameters of the charging process based on the obtained target characteristics;
• determine a performance metric for the performed charging process;
• generate a data set for the performed charging process, wherein the data set comprises meta information of the performed charging process, determined target characteristics of the performed charging process associated with determined variables for the performed charging process and the determined performance metric for the performed charging process;
• store the generated data set in a database;
• calculate and store at least one first set of statistic data for a first time interval based on a plurality of stored data sets in the database and at least one second set of statistic data for a second time interval based on the plurality of stored data sets in the database;
• compare the at least one first set of statistic data with the at least one second set of statistic data for each stored data set to compute difference values for each stored data set;
• and
• determine, based on the computed difference values for each data set, whether the charging infrastructure system operates in an anomalous operating state.