As electric vehicles (EVs) and energy storage systems grow, ensuring battery reliability is crucial. However, accurately determining State of Charge (SoC) and State of Health (SoH) remains a challenge. Traditional methods like Coulomb Counting often lack precision, leading to inaccurate estimates and unexpected failures. This results in reduced EV range, costly replacements and inefficient energy storage.
Impedance Modeling of Li Batteries is transforming battery diagnostics with real-time, data-driven insights. By leveraging Electrochemical Impedance Spectroscopy (EIS), engineers can detect early degradation, optimize charging and predict battery lifespan. This non-invasive, precise approach improves battery performance, reduces costs and extends life, benefiting both manufacturers and researchers.
Why Impedance Modeling for SoC & SoH?
This study presents a generalized equivalent circuit model for Li-Ion batteries using Electrochemical Impedance Spectroscopy (EIS) to enhance diagnostics. By tracking impedance changes, it accurately estimates State of Charge (SoC) and, through multi-cycle testing, reveals State of Health (SoH) degradation trends for better battery management.
- Precise State of Charge (SoC) Estimation – Ensures reliable battery performance without over-discharging the battery.
- Accurate State of Health (SoH) Monitoring – Essential for assessing EV battery longevity and reducing lifetime costs.
- Overcoming Limitations of Traditional Methods – Provides a better reliable and real-time diagnostic.
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