Passive Online Electrochemical Impedance Spectroscopy of EV Batteries Using Intrinsic DC-link Current and Terminal Voltage Ripples
Year: 2026
Type: conference-paper
Abstract: Online Electrochemical Impedance Spectroscopy (EIS) of EV batteries has attracted significant interest for real-time battery health monitoring and diagnostics. Existing techniques predominantly rely on active signal injection, which complicates implementation and interferes with normal battery operation. This study proposes a passive approach to online EIS that leverages the inherent ripples in the DC-link current and terminal voltage of the battery. MATLAB/Simulink simulations were conducted to model a battery pack-inverter-motor system, and Power Spectral Density-based impedance extraction was implemented, enabling extraction across a broad frequency spectrum. The results demonstrate a close alignment between the extracted and expected impedance profiles, thereby verifying the effectiveness of Passive Online EIS. This technique has strong potential for integration into battery management systems, and offers a non-intrusive and computationally efficient solution for continuous, real-time battery impedance monitoring.
Authors: Aryan Chollera, Woongkul Lee, Byunghoo Jung
Institution: Purdue University West Lafayette
Language: English
Subfield: Automotive Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W7168323917