A Texas Instruments Office is shown in San Diego, California, U.S. File
| Photo Credit: REUTERS
Texas Instruments (TI) launched a predictive battery management technology, evolved from 20 years of reactive monitoring, that claims upto 30% longer run time in battery-powered electronics, laptops and e-bikes.
TI’s new single-chip battery gauges (a battery indicator or fuel gauge) with Dynamic Z-Track technology (a predictive battery model that can self-update across dynamic load conditions with the help of AI) ensured the most accurate run-time predictions making battery-powered devices more efficient, reliable, said the semiconductor firm.
As users demand more power from electronics, such as laptops, e-bikes and portable medical devices, battery management systems (BMSs) must provide precise, accurate, real-time monitoring, the firm said.
According to TI, the BQ41Z90 and BQ41Z50 fuel gauges with Dynamic Z-Track technology help engineers design electronic devices with accurate battery capacity readings, even under unpredictable loads.
Yevgen Barsukov, Ph.D., TI Fellow and head of BMS algorithm development said, “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.’‘
Evolved from 20 years of reactive monitoring, this innovation would enable users to experience dependable function, safer operation, and precise tracking of battery age and run time, he added.
Published – July 31, 2025 11:30 am IST