KTBIX Website Project Officially Launched
We are excited to announce the official launch of the KTBIX (Korea–Türkiye Battery Intelligence eXchange) website project, a 24-month bilateral research initiative between researchers in Korea and Türkiye.
What is KTBIX?
KTBIX brings together research teams in Seoul, Korea and Istanbul, Türkiye to tackle one of the most pressing challenges in electric vehicle technology: accurate, robust battery State-of-Health (SOH) estimation under real-world field conditions.
Our core technical innovation is the PI-VIB-ResNet architecture — a Physics-Informed Variational Information Bottleneck combined with a Residual Neural Network — that directly addresses the limitations of purely data-driven EIS-based battery diagnostics.
Building on Published Foundations
KTBIX directly extends our 2025 joint publication in Scientific Reports (DOI: 10.1038/s41598-025-12771-4), where we established the AE-BPNN baseline for battery SOH estimation via EIS. The PI-VIB-ResNet architecture is expected to improve upon this baseline by ≥15% in RMSE (target: ≤1.2%).
What's Coming
Over the next 24 months, you can expect:
- 📡 WP1 — A new open industrial EIS dataset from Turkish T-EV platforms and TOGG vehicles
- 🧠 WP2 — Open-source PI-VIB-ResNet implementation (PyTorch)
- 📊 WP3 — Rigorous benchmark comparisons against 5+ state-of-the-art methods
- 🌐 WP4 — Two international workshops (Istanbul 2027, Seoul 2028)
- 📄 2+ Q1 journal publications
Stay Connected
Follow the project at ktbix.org for news, dataset releases, and workshop announcements.
— The KTBIX Team