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The DK-NFLNK™ Communication Solution is a Highly Reliable, Secure and Cost-Efficient Upgrade for Modular Battery Architectures Based on traditional Multi-channel AFEs.

The battery landscape is highly diverse, shaped by applications across global automotive, industrial, and consumer markets. Each electrified application has distinct requirements for design, performance, safety, regulatory compliance, reliability, and supply chains.

Be one of the first to see Dukosi’s latest technology demonstrators showcasing a module-level communication solution and a Battery Passport ready battery data management solution.

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In its recent December publication, Electroniques examined the European trial of a cell-level Battery Passport conducted in a Kia EV3. The European Battery Regulation, which mandates the Battery Passport, is due to come into effect in February 2027 – just one year away!

Dukosi Cell Monitors can simultaneously perform an internal resistance (DCIR) test and uniquely capture a direct external temperature reading, providing complementary, synchronous data on cell state, deepening the understanding of how cells generate and propagate heat.

* This article is published in Spanish

European Association of Automotive Suppliers recognizes Dukosi’s Chip-on-Cell Technology and C-SynQ® for Advancing the Green Transition.

Hyundai-Kia Motor Group, in partnership with Dukosi, retrofitted a Kia EV3’s battery with Dukosi Cell Monitors, which provided cell-level data storage for both static and dynamic data, including State of Health (SoH).

Immersion cooling offers a compelling alternative to standard thermal management techniques. By directly submerging cells in a non-conductive fluid it achieves uniform thermal transfer across their full surface area. Among battery architectures, DKCMS® is best suited to this due to its simpler battery architecture that still ensures essential aspects, like safety and reliability.

This technical paper examines why battery SoP is critical o maximize battery pack performance and safety. This paper provides an evaluation of the performance of SoP estimation algorithms versus the integrity of the measurements provided by the cell voltage, current, and temperature sensors.