Predictive battery management technology delivers up to 30% longer run time

Texas Instruments has introduced new single-chip battery fuel gauges with first-of-its-kind adaptive Dynamic Z-Track technology for more efficient, reliable operation in battery-powered devices. Compared to conventional gauging methods, the predictive modelling algorithm in its BQ41Z90 and BQ41Z50 gauges attains industry-leading state-of-charge and state-of-health accuracy within 1% error, helping extend battery run time by up to 30%.

As users demand more power from electronics, such as laptops, e-bikes and portable medical devices, BMS must provide precise, accurate, real-time monitoring. The fuel gauges with Dynamic Z-Track technology help engineers design electronic devices with accurate battery capacity readings, even under unpredictable loads. With this increased accuracy, engineers can select a battery size with confidence, thereby eliminating the need for oversized batteries.

“Whether you’re finishing a project on your laptop or riding home on an e-bike, accurate battery capacity estimates and reliability are critical,” said Yevgen Barsukov, Texas Instruments fellow and head of BMS algorithm development. “Traditional battery monitoring methods often struggle with accuracy under erratic use conditions, leading to unreliable predictions. However, our new Dynamic Z-Track technology is a predictive battery model that can self-update across dynamic load conditions, like those created by AI applications, ensuring the most accurate run-time prediction. Evolving from 20 years of reactive monitoring, this innovation enables users to experience dependable function, safer operation, and precise tracking of battery age and run time.”

Battery-powered electronics are becoming more complex, making it even more important to use board space efficiently. The BQ41Z90 is the industry’s first highly integrated fuel gauge, monitor and protector for 3-to-16 lithium-ion (Li-ion) battery cells in series. This single-chip solution allows engineers to lower complexity and save as much as 25% of board space compared to traditional discrete solutions. The BQ41Z50 supports 2-to-4 cells in series.