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Software Accurately Predicts Battery Life Expectancy

Nov. 23, 2011
Energy Micro’s latest software tool accurately predicts battery cell life expectancy in applications based on its low power EFM32 Gecko microcontrollers (MCUs). Called the energyAware Battery Estimator, the free tool provides full simulation of total system energy usage.

Energy Micro’s latest software tool accurately predicts battery cell life expectancy in applications based on its low power EFM32 Gecko microcontrollers (MCUs).  Called the energyAware Battery Estimator, the free tool provides full simulation of total system energy usage, taking into account actual battery source, MCU energy modes, peripherals employed, and external circuit components. In simulation mode, system battery voltage output is displayed against time in years, in graph format, with the battery capacity rating (mAh), average MCU current consumption (µA), and estimated system operating time (years) shown numerically alongside.  The set-up of a complete system simulation, its energy modes, their related operating times and associated peripheral functions and external component current consumption is via an intuitive GUI, comprising simple drop-down menus, slider bars and checkboxes. Available as a part of the Simplicity Studio software console, energyAware Battery Estimator also provides the ability to store complete simulation projects for future reference and save set-up time. The software is available as a free download on the company’s website. ENERGY MICRO AS, Oslo, Norway. +47 23 00 98 00.

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