ADNA-Based Organic Computing Battery Management System

This poster presents an Artificial DNA (ADNA)-based approach for an Organic Computing (OC) Battery Management System (BMS). The study investigates the feasibility of using ADNA within a distributed computing framework to manage Lithium-Ion Batteries (LiIonBs) and Lithium-Metal Batteries (LiMeBs) efficiently. A simulator was developed to compare the performance of a conventional code-based BMS with the ADNA-driven alternative. The results indicate that ADNA achieves similar functionality while leveraging self-healing and fault-tolerant properties, making it a promising candidate for future energy management systems, particularly in electric vehicles.