As users demand more power for their electronic devices, battery management systems need to provide more precise, accurate, and real-time monitoring. Texas Instruments Inc. (TI) has developed two new single-chip battery gauges with its adaptive Dynamic Z-Track technology. The new battery gauges deliver precise battery monitoring for more reliable and efficient battery-powered devices including laptops, portable medical devices, smartphones, and e-bikes.

(Source: Texas Instruments Inc.)

The Dynamic Z-Track technology predictive battery model can self-update across dynamic load conditions, like those created by AI applications. This predictive modeling algorithm approach in TI’s BQ41Z90 and BQ41Z50 battery fuel gauges delivers state-of-charge and state of-health accuracy within 1% error, allowing manufacturers to extend battery run time by up to 30% when compared to traditional gauging methods.

The BQ41Z90 and BQ41Z50 fuel gauges help engineers design electronic devices with accurate battery capacity readings, even under unpredictable loads, TI said.  Thanks to the greater accuracy, engineers can select the right battery size for the application, eliminating the need for oversized batteries.

As battery-powered electronics become more complex, TI claims that the BQ41Z90 is the industry’s first highly integrated fuel gauge, monitor, and protector for three-to-16 lithium-ion (Li-ion) battery cells in series. The single chip reduces complexity, saving as much as 25% of board space compared to traditional discrete solutions. The BQ41Z50 supports two-to-four cells in series.

Pre-production quantities of the BQ41Z90 and production quantities of the BQ41Z50 are currently available. Evaluation modules, reference designs, and simulation models are also available.

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