Searching partners or consortium for proposal for Call 5 (CL5-2025-04-D2-05)

Ikerlan offers expertise in battery system design, automated battery and BMS testing, AI-enhanced validation methodologies, and advanced safety analysis. We specialize in XiL-based validation, AI-driven testing, mechanical stress analysis, abuse modeling, and cybersecurity applications for AI systems.

Ikerlan proposes collaboration in three main research areas aligned with the call

• Battery System Test Design

• Thermo-mechanical optimization to minimize experimental testing.

• Mechanical stress analysis for improved aging and performance prediction.

• Abuse and thermal runaway modeling, including FEM calculations to analyze failure modes.

• Battery validation & regulatory alignment, ensuring compliance with safety standards.

• Accelerated aging tests to define advanced operating profiles.

• Physics-based & data-driven test strategies, leveraging RUL estimation and transfer-learning for faster validation.

Ikerlan also specializes in thermal management system validation, including:

• Assessing liquid cooling, PCM-based, and immersion cooling systems.

• Ensuring compliance with temperature control specifications for battery safety.

• Battery and BMS Test Automation, Virtualization, and XiL Integration

Ikerlan offers expertise in automating XiL Hybrid-based validation and testing for BMS platforms and batteries using virtual advanced battery models and a unified verification framework. Our contributions include:

• Automating regulated test procedures for BMS and battery verification across different XiL levels.

• Supporting verification plan optimization, designing common APIs for varying battery structures (cells, modules, packs).

• Developing FMUs with collected battery data for realistic models or adaptive co-simulation infrastructures.

• Application of AI in testing methodologies

Ikerlan supports AI-driven testing innovations, including:

• Test-case generation and dataset creation/modification using generative AI.

• Test case prioritization and optimization.

• Anomaly detection to enhance validation efficiency.

• Data-driven test profile generation for optimized test coverage.

Additionally, Ikerlan contributes to secure AI-based systems, particularly in:

• AI cybersecurity, including Red Teaming, Blue Teaming, and virtualized threat evaluation.

• Vulnerability analysis of AI dependencies and hardware-related risks.

• Protection and traceability of AI artifacts.