New York, New York (PRWEB) May 17, 2017
Sendyne Corp. has been issued a new patent by the US Patent office that covers accurate detection of very small signals from the analog to digital converters used typically in microcontroller based devices.
The patent, numbered 9,588,144, is for the dynamic correction of the drift experienced in analog to digital converters, due to temperature and other factors, which over time shifts acquired readings and prevents accurate sensing of small signals.
“This patent makes claims in connection with our current sensing technology that allows us to use very small resistors to accurately read large ranges of currents in energy storage and power systems. Our circuits can read from thousandths to thousands of Amperes with accuracy and minimal heat generation in a wide temperature range,” said Aakar Patel, Sendyne's VP of Business Development. “This grows our number of patents to 14, confirming our technical leadership in the technical areas in which we compete.”
Reading current accurately is critical in several applications, ranging from testing laboratories to energy storage systems. In battery power systems, incorrect readings of even small currents over a period of time distorts the information on available energy, consequently compromising system management decisions. Sendyne employs this technology in all its current, voltage and temperature sensing products.
Sendyne’s current sensing products have been established as the most accurate in the industry and are used in aerospace, automotive, industrial and test equipment applications by tens of companies that lead in their respective fields.
This patent was prepared by the Oppedahl Patent Law Firm LLC.
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About Sendyne
Sensing, modeling, control: Sendyne delivers key technologies for industries ranging from electric vehicles to the IoT. These include: The SFP family of ICs and modules for precise current, voltage and temperature measurements with built-in Coulomb counting; dtSolve™, a small footprint, high speed model solver for embedded predictive control; and CellMod— high accuracy, physics-based battery cell and pack models.
For Editorial information contact:
Fiona Cheung
Marketing Communications
(212) 966-0600 ext. 218
fcheung(at)sendyne(dot)com