Semicon firm TI introduces long-run battery management tech for electronics devices, 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.
Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles
Business Standard
13 hours ago
- Business Standard
Lloyds Engg gains after subsidiary secures Rs 20-cr order
Lloyds Engineering Works (LEWL) shares rose 1.55% to Rs 70 after the company announced that its subsidiary, Techno Industries (TI), has secured an escalator and annual maintenance contract (AMC) order worth Rs 19.58 crore from Mumbai Railway Vikas Co According to an exchange filing, the contract includes the design, manufacturing, supply, installation, testing, commissioning, and maintenance of escalators. With this award, TIs confirmed order book now stands at Rs 82.86 crore. The Indian Railways sector offers vast and sustained growth opportunities, and this order represents a significant entry point for TI to establish a strong, long-term presence in this high-potential market. The company said this win marks the early execution of LEWLs multi-pronged growth strategy for TI, which includes expansion into tier-2 and tier-3 markets, diversification into industrial elevators, parking systems, and export markets, as well as scaling its motors and pumps verticals. Well positioned to capture the rising demand for elevators, escalators, motors, and pumps, TI is fully equipped to meet this demand effectively, supported by strong market fundamentals and robust execution capabilities. Lloyds Engineering Works (LEWL) provides a complete engineering and infrastructure solutions package by carrying out design, engineering, manufacturing, fabrication, and installation. Its products cover various categories in heavy equipment, machinery and systems for the carbon sector, oil and gas, steel plant equipments, power plants, nuclear plant boilers and turnkey projects.
Business Standard
13 hours ago
- Business Standard
Techno Industries wins order of Rs 19.58 cr from Mumbai Railway Vikas Corporation
Lloyds Engineering Works (LEWL) announced that its 88%-owned subsidiary, Techno Industries (TI), has secured a Rs 19.58 crore order from Mumbai Railway Vikas Corporation. The contract covers the design, manufacturing, supply, installation, testing, commissioning, and maintenance of escalators. With this award, TI's confirmed order book now stands at Rs 82.86 crore. The Indian Railways sector offers vast and sustained growth opportunities, and this order serves as a significant entry point for TI to establish a strong, long-term presence in this high-potential Railway sector. The contract, secured outside Gujarat, also reflects the company's strategic focus on broadening its geographical footprint, scaling its escalator and AMC businesses, and tapping into India's expanding institutional infrastructure sector. This win marks early execution of LEWL's multi-pronged growth strategy for TIexpansion into tier-2/3 markets, diversification into industrial elevators, parking systems, and export markets, and scaling its motors and pumps verticals. Well positioned to capture the rising demand for elevators, escalators, motors, and pumps, TI is fully geared to meet this demand effectively, supported by strong market fundamentals and execution capabilities.
The Hindu
5 days ago
- The Hindu
Semicon firm TI introduces long-run battery management tech for electronics devices, laptops and e-bikes
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.
