The universal measuring module Q.series A121 is designed for measurements of voltage, current, Pt100 sensors, NTC resistors, IEPE sensors as well as strain gauge half and quarter bridges. This means that in addition to the typical charging and discharging tests, the shock, vibration and stress tests can also be carried out successfully.
The module has 2 galvanically isolated inputs, which are isolated to each other, to the voltage supply and the interface with an isolation voltage of 1200 VDC. A measuring rate of 100 kHz per channel is very suitable for recording signals in case of shock test without signal losses.
The high-voltage modules of the Q.series can be combined with all Q.series modules and controllers. They are preferred by many system integrators and are already successfully used by many users.

For example, Daimler AG, Deutsche Accumotive, VOLVO Cars, Renault Battery Lab, General Motors Battery Lab, Schaeffler Group, ZF Friedrichshafen and Bosch Battery Solutions. But also testing institutes such as TUEV Sued relies on the products of Gantner Instruments.
More articles
Cloud-based Railway Bridge Monitoring with Solar Powered Q.series DAQ
For a large railway operator, Gantner Instruments continuously monitors a railway bridge using displacement transducers to detect deflection in bridge support elements.
Read more...China International Battery Fair 2023
The path to reduced battery test bench development cycles, more accuracy, and better high voltage isolation starts with Gantner Instruments at China International Battery Fair in Shenzhen, China, from May.16 to May.18, 2023.
Read more...The 10 most important principles for effective acceleration measurement and vibration monitoring
In vibration monitoring and acceleration measurement, there are many variables to consider, and many opportunities to make mistakes. Sometimes it is nice to have a checklist that keeps you on the right track. Here are the 10 essentials for effective vibration monitoring and acceleration measurement
Read more...Three steps to the Internet of Things (IoT) or: Where is analog big data derived from?
The break-up into the new era of Internet of Things (IoT), industry 4.0 or cloud computing takes an impressive pace and is also in several industrial applications irresistible. The industry with its huge amount of machines and components of divers size, value and function is faced by one big challenge: data from all these assets needs to be gathered and analyzed.
Read more...