Addressing these challenges, researchers from the iBattMan project have published a new paper in the World Electric Vehicle Journal entitled “Architectural Pathways and Integration Constraints for Feasible Onboard Electrochemical Impedance Spectroscopy for Battery Electric Vehicles”. The study investigates practical approaches for integrating EIS directly into electric vehicle battery systems and explores how this technology can support next-generation battery diagnostics.
The research establishes a comprehensive system-level framework for onboard EIS implementation, focusing on its integration within both battery management and powertrain architectures. Different topological approaches are evaluated at cell, module, and pack level, providing a detailed assessment of their diagnostic capabilities, complexity, scalability, implementation requirements, and overall feasibility. By examining these architectures from a practical deployment perspective, the study helps bridge the gap between laboratory research and industrial application.
To evaluate the suitability of the proposed solutions, the authors apply a Multi-Criteria Decision Analysis (MCDA) methodology across several representative use cases, including mass-market electric vehicles, high-performance applications, and circular economy scenarios. The analysis highlights the trade-offs associated with each architecture and identifies pathways that can enable effective onboard EIS functionality while meeting real-world engineering and economic requirements.
The results confirm that onboard EIS can be successfully integrated into future BEV platforms and has the potential to significantly improve battery health assessment, enabling more accurate State of Health estimation, enhanced safety, optimized battery usage, extended battery lifetime, and greater sustainability throughout the battery lifecycle. The work provides valuable guidance for automotive manufacturers, battery developers, BMS suppliers, and researchers seeking to advance battery monitoring technologies and accelerate the transition toward smarter and more sustainable electric mobility.
📖 Read the open-access article here
