Software detects battery weaknesses in IoT designs

November 01, 2018 // By Nick Flaherty
Keysight Technologies has launched software to test and optimise battery life before to device deployment to accelerate troubleshooting and device verification.

Many IoT devices today run on battery power. For mission-critical IoT applications such as those in the healthcare and industrial industries, where lives can be at risk due to premature device failure, battery life is more crucial than ever. The challenge falls to IoT device makers to ensure the battery life of their devices will live up to expectations in the real world.

The X8712A IoT Device Battery Life Optimization software  enables IoT device makers to perform event-based power consumption analysis on IoT devices to gain a better understanding of how IoT devices spend their battery charge when operating in real-world conditions.

"IoT device developers face many challenges when accurately estimating and validating their device's battery life expectancy," said Ee Huei Sin, vice president and general manager of General Electronics Measurement Solutions (GEMS) at Keysight Technologies. "Keysight's new solution has been designed specifically for these device makers to ensure optimization of their battery-powered IoT devices, while validating that they work as expected in all applications."

The software allows device makers to detect design weaknesses with a wide dynamic-range current measurement and fast 20µs sampling rate to capture an IoT device's dynamic current consumption for a specific radio frequency or direct current event. It then automatically correlates that event to the device's current consumption to easily identify the subsystems or events requiring optimization.

Battery life can be optimised by calculating the RF or DC event's occupancy time and current consumption contribution in percentage. By specifying the battery capacity and area of interest, the software estimates battery life based on the device's charge consumption, so necessary steps can be taken to improve battery life. The KS833A1A Event-based Power Analysis software calculates how much time the RF or DC event occupies and how much current it consumes, and also allows designers to view the estimated battery life to give a relative measure of battery drawdown.

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