Establishing an AI-Based R&D System
Linked with National Projects

Enchem announced on July 10 that it will collaborate with AI specialist company AIStar to introduce an AI-based research and development system specialized in liquid electrolyte design, and further advance the development of next-generation battery electrolytes for use in special environments such as ultra-low temperatures and high-power applications.

Enchem CI.

Enchem CI.

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The AI system analyzes experimental results and performance data accumulated during the research process to propose promising electrolyte composition candidates and predict their performance. The research team plans to enhance R&D efficiency by verifying the AI-generated candidates through actual experiments and evaluations.


Enchem will also apply this technology to the development of electrolytes for ultra-low temperature, high-power, and rapid charge/discharge environments. The company is currently leading a national project as part of the Ministry of Trade, Industry and Energy's “Battery Materials and Cell Technology Development Project for Industry-Specific Demands.” The project focuses on developing 200Ah-class battery cell technology for electric propulsion ships capable of 6C charge/discharge rates in ultra-low temperature marine environments. The R&D period spans 45 months, from April 2026 to December 2029, with a total project budget of approximately 11 billion won.


In ultra-low temperature environments, the viscosity of the electrolyte increases and its ionic conductivity decreases, which can degrade battery performance. Enchem plans to systematically identify electrolyte candidates suitable for these conditions by integrating the electrolyte property and performance data acquired through the national project with its AI design system.



An Enchem representative stated, "Electrolytes are a core material that must be precisely designed to meet the demands of the specific use environment and required performance," adding, "We will continue to strengthen our competitiveness in developing electrolytes optimized for special environments by leveraging our AI-based research and development system."


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