Originally sourced from: https://ieee-dataport.org/open-access/battery-and-heating-data-real-driving-cycles

High-voltage batteries in battery electric vehicles face significant load fluctuations due to driving behavior. This dynamic performance of the powertrain is contrasted by the almost constant load of the auxiliary consumers. The highest auxiliary consumption is generated by the heating and air conditioning system, which decreases the vehicles range significantly. 72 real driving trips with a BMW i3 (60 Ah) were recorded, serving for model validation of a full vehicle model consisting of the powertrain and the heating circuit.

Each trip contains:

• Environmental data (temperature, elevation, etc.)
• Vehicle data (speed, throttle, etc.)
• Battery data (voltage, current, temperature, SoC)
• Heating circuit data (indoor temperature, heating power, etc.)

The measurement data is in CSV format to ensure easy use by various standard programs (Excel, Matlab) or own developed codes (Python).

The script "readin.m" reads the csv files into MatLab as table and struct.

The data contains vehicle data, battery data and heating data.

The measurement data is divided into two categories. Category A was recorded in summer and does not contain all measured data due to trouble with the measurement system. Category B was recorded in winter and is consistent.