Keysight 33502A Isolated Amplifier, 2 Channel, 100 kHz at 50 Vpp, 200 mA Output Drive

Source/Measure Unit for Battery Drain Analysis, Multiple Ranges, 80 W

Output Ratings:

• Voltage: 20 V / 15 V / 10 V / 6 V
• Current: ±4 A / ±5 A / ±6.7 A / ± 8A
• Power: Up to 80 W

Programming Accuracy (at 23°C ± 5°C after 30 minute warm-up. Applies from min. to max. program):

• Voltage, 20 V, 15 V, 10 V, and 6 V ranges: 0.025% + 1.8 mV
• Current, 4 A, 5 A, 6.7 A, and 8 A ranges: 0.04% + 1.4 mA

Output voltage ripple & noise (PARD) from 20 Hz to 20 MHz:

• CV peak-to-peak: 15 mV
• CVrms: 1.5 mV

Measurement Accuracy (at 23°C ± 5°C):

• Voltage, 20 V range: 0.025% 1.8 mV
• Current, 8 A range: 0.04% + 1.5 mA
• Current, 100 mA range: 0.025% + 10 µA
• Current, 1 mA range: 0.025% + 100 nA

Unlike any other product available today, N6785A offers the features necessary to accurately capture the power consumption of portable, battery-powered devices. When used with the Keysight 14585A software, it becomes an even more powerful battery drain analysis solution offering even further insights into your measurements. Whether the DUT is a mobile phone, tablet, or pacemaker, the seamless measurement ranging, programmable output resistance, and auxiliary DVM combine to be the only solution on the market that helps you deliver exceptional battery life.

• Deliver exceptional battery life with insight into your device’s power consumption you can get nowhere else
• Measure all modes of operation simultaneously, no need to change measurement ranges with seamless, dynamic measurements down to nA and µV
• More accurately emulate performance of a battery with internal resistance of a battery using programmable output resistance.
• Perform tests with the actual battery – monitor your battery’s voltage with the built-in auxiliary voltage measurement system while using the SMU’s ammeter mode (zero-burden current shunt) to perform real-world battery rundown tests
• Easily make sense of your measurements – scope, data logger, and complementary cumulative distribution function (CCDF) statistical analysis all help you understand what you’ve measured