Researchers from Huaiyin Institute of Technology in China have developed a groundbreaking method for accurately estimating the state-of-charge (SOC) in electric vehicle (EV) batteries, marking a significant advancement in battery management technology.

Published in the journal Green Energy and Intelligent Transportation, the study employs a gas-liquid dynamics model combined with a dual extended Kalman filter featuring a watchdog function, setting it apart from traditional SOC estimation methods.

This innovative SOC estimation technology addresses 'range anxiety' by providing drivers with precise information on remaining battery charge, potentially increasing consumer confidence in electric vehicles.

In cases of significant initial errors, the new method can correct itself in just 5 seconds, a drastic improvement over conventional methods that take over 100 seconds to recover.

The method is computationally efficient, allowing for easy integration into existing battery management systems without requiring costly hardware upgrades.

Additionally, the new SOC estimation method may enable more efficient fast-charging protocols, optimizing charging speed while preserving battery health and extending battery life.

These advancements not only improve the user experience for electric vehicle owners but also enhance the reliability of renewable energy storage systems, supporting the integration of renewable sources into power grids.

Overall, this new SOC estimation technology could significantly enhance the range and reliability of electric vehicles, encouraging broader adoption in the market.

The proposed method achieves a maximum SOC error of just 0.016 (1.6%) under optimal conditions, ensuring reliable predictions about EV range and enhancing the user experience for electric vehicle owners.