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Keysight Launches Event-Based IoT Battery Life Analysis Software

Google 우선 소스Published2021.08.02 10:00
KS833A2A, for optimized battery life
IoT device power consumption analysis



Optimizing IoT device battery life is a critical, yet challenging and time-consuming task. Keysight Technologies announced the KS833A2A, event-based power analysis software that supports IoT device battery life optimization.
▲ KS833A2A event-based power analysis software [Photo = Keysight]

R&D and design verification engineers must understand the power consumption of hardware subsystems and analyze how IoT devices operate under various scenarios and climate conditions. After identifying hardware design, software, or firmware changes necessary to optimize battery life, they must also iteratively verify the impact of each design change.

Engineers can analyze the power consumption of IoT devices with Keysight's 'X8712A' software and KS833A2A event-based power analysis software, and gain insight into how IoT devices operate and their charge consumption profiles down to the subsystem level. Additionally, Keysight PathWave software offers a continuous data logging mode that can capture up to eight days of data over many operating cycles.

The KS833A2A software captures the dynamic current consumption of IoT devices as they transition between active, idle, and sleep modes, along with the ability to visualize charge consumption profiles over multiple days, with currents ranging from A to nA. It automatically calculates battery life based on charge consumption profiles, reducing analysis time.
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