Electrochemical Impedance Spectroscopy as a diagnostic and prognostic tool for EV batteries: A review |
Sneha M, Karthika V, Haribabu P |
Centre for Development of Advanced Computing, Bangalore, India |
Correspondence:
Sneha M, Email: sneha92.cdac@gmail.com |
Received: 11 October 2024 • Accepted: 10 January 2025 |
Abstract |
For the safe and efficient operation of electric vehicles, health monitoring and the prognosis of their battery systems are essential. The level of complexity in diagnostic and prognostic tools is increasing in tandem with the continuous evolution of technologies in Electric Vehicles (EV). Effective battery diagnostics help improve the longevity and performance of EV batteries and achieve environmental and economic benefits. Direct measurement of battery voltage, current, impedance, and temperature, electrochemical techniques like cyclic voltammetry and impedance spectroscopy, data-driven and modelbased approaches are the different tools available for diagnosis and prognosis of EV batteries. Electrochemical Impedance Spectroscopy (EIS) is a robust, non-invasive, and non-destructive electrochemical technique used to characterize and model electrochemical systems, by measuring their impedance spectrum. EIS is a widely used technique with applications in the study of corrosion, paint, sensors, biosensors, batteries, fuel cells, etc. It is a powerful diagnostic and prognostic tool for battery systems to carry out functions like failure prediction, thermal management, fault detection etc. This review focuses on the implementation of EIS technique in various EV battery applications, highlighting both the unique advantages and challenges faced in its implementation. |
Keywords:
Electrochemical Impedance Spectroscopy, Batteries, Electric Vehicles, Automotive sector |
|