Transient Electro-Thermal Measurement Dataset of OSRAM Oslon Black Flat Automotive LEDs
Description
This dataset contains synchronized electro–thermal measurement data of an automotive LED module equipped with OSRAM Oslon Black Flat LEDs. The measurements were conducted to capture the transient electrical and thermal behavior of the device under dynamic excitation. The dataset is designed for research on data-driven electro–thermal modeling and time-series forecasting of LED systems. It consists of six independent measurement runs, each representing a complete transient sweep performed under different experimental settings. During each run, the LED module was excited using a pseudo-random multilevel current profile that drives the device through a wide range of operating conditions. This excitation strategy allows the electro-thermal system to naturally traverse a broad region of the current-voltage-temperature space within a few experiments. For each run, the measurement data is stored in two separate files generated by different measurement devices: - Electrical measurement files (Evaluation_*.json) contain the electrical measurements acquired by the source-measure unit. Each file includes both measurement metadata and time-series arrays. The recorded signals include: voltage (terminal voltage of the LED module), current (applied drive current), time stamps, sample indices, and some metadata describing the measurement configuration, such as excitation parameters, compliance voltage, measurement duration, and other acquisition settings. - Thermal recording files (recording_*.csv) files contain the thermal measurement data, recorded independently using a thermal imaging system. The recordings include temperature measurements of the LED chip region (R2) and the surrounding environment (R1) obtained from infrared thermography. The thermal data is stored as time-series values together with corresponding time stamps. Because the electrical and thermal measurements originate from two independent acquisition systems, their time bases are not synchronized. As a result, the timestamps of the electrical (Evaluation_*.json) and thermal (recording_*.csv) files differ slightly in both start time and sampling rate. To combine both signals for analysis or modeling, the data must therefore be temporally aligned and resampled based on detecting the current trigger and temperature change.
Files
Steps to reproduce
The dataset was generated from electro–thermal transient measurements of an automotive LED module equipped with OSRAM Oslon Black Flat LEDs. The measurements were performed using a laboratory setup that records electrical excitation and thermal response simultaneously using two independent measurement systems. The LED module was mounted on a TEC mount or a large aluminum heat sink to provide sufficient thermal mass during the experiment. Electrical excitation and measurements were performed using a Keithley 2461 Source Measure Unit (SMU) connected to the LED via a four-wire (Kelvin) configuration to ensure accurate voltage sensing during current-driven operation. Thermal measurements were recorded using an InfraTec VarioCAM HD infrared camera. The camera captured thermal images of the LED module during operation, from which temperatures were extracted from two predefined regions of interest: the LED chip region and a nearby region on the printed circuit board. The electrical excitation signal was generated by programming the SMU to output dynamic current profiles. The excitation consisted primarily of sawtooth-shaped current ramps. Multiple sawtooth ramps were combined into pulse sequences in order to create repeated heating phases and to drive the LED through a wide range of operating conditions. The slope of each ramp was controlled by adjusting the number of discrete current steps. Each measurement run begins with relatively high current levels applied to the LED so that the start of the temperature increase is clearly observable (to trigger the time synchronization). Electrical and thermal data were recorded independently by the SMU and the infrared camera. As a result, each measurement run produces two files: a JSON file generated by the SMU containing arrays of voltage, current, and timestamps together with measurement metadata, and a CSV file generated by the infrared camera containing time-resolved temperature measurements for the defined regions of interest.
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Funders
- European Union Horizon 2020Grant ID: 101007319