Texas Instruments introduced single-chip battery fuel gauges with adaptive Dynamic Z-Track technology for battery-powered devices. The predictive modeling algorithm in TI’s BQ41Z90 and BQ41Z50 gauges achieves state-of-charge and state-of-health accuracy within 1% error, helping extend battery run time by up to 30% compared to traditional gauging methods.
Battery management systems in devices such as laptops, e-bikes and portable medical devices require precise, real-time monitoring as power demands increase. The BQ41Z90 and BQ41Z50 fuel gauges with Dynamic Z-Track technology provide accurate battery capacity readings under unpredictable loads. This accuracy allows engineers to select appropriate battery sizes without requiring oversized batteries.
Traditional battery monitoring methods can struggle with accuracy under erratic use conditions, leading to unreliable predictions. Dynamic Z-Track technology uses a predictive battery model that can self-update across dynamic load conditions, including those created by AI applications, for run-time prediction accuracy. This technology evolved from 20 years of reactive monitoring development to enable dependable function, safer operation, and tracking of battery age and run time.
Battery-powered electronics complexity makes efficient board space utilization important. The BQ41Z90 integrates fuel gauge, monitor and protector functions for 3-to-16 lithium-ion battery cells in series. This single-chip solution enables engineers to reduce complexity and save up to 25% of board space compared to traditional discrete solutions. The BQ41Z50 supports 2-to-4 cells in series.
Pre-production quantities of the BQ41Z90 and production quantities of the BQ41Z50 are available on TI.com. Evaluation modules, reference designs and simulation models are also available.
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Filed Under: Battery Management, Featured