July 19, 2024

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CANTERBURY

Kent

United Kingdom

A new study from Canterbury Christ Church University presents a significant advancement in battery technology. The research, recently published in the Journal of Energy Storage by Elsevier, introduces an AI method that improves the accuracy of measuring lithium-ion battery charge levels.

Initial findings show that this AI approach outperforms current techniques. By integrating clustering algorithms with neural networks, the new method offers better precision in predicting battery charge levels, which is important for the performance and safety of electric vehicles and renewable energy storage systems.

The new AI method adapts to the changing conditions batteries face, enhancing reliability. This advancement is crucial for the future of electric vehicles and renewable energy.

Using data from a Tesla Model 3 battery, the team demonstrated a major improvement in accuracy, reducing error rates by over 60%. This ensures that batteries operate more efficiently and have a longer lifespan.

The researchers also assessed the impact of this AI enhancement on second-life batteries, which are repurposed for home energy storage and other applications. Results indicate that the improved SOC estimation method significantly reduces the degradation rate of these batteries. This leads to substantial cost savings, potentially amounting to thousands of pounds for operators of large-scale energy storage systems.

By reducing the degradation rate of second-life batteries, the AI method can make energy storage systems much more cost-effective. This advancement offers both economic and environmental benefits.

This research supports global efforts to increase the adoption of renewable energy and electric vehicles, aligning with the mission of achieving net-zero emissions. Improved battery management techniques like this are essential for sustaining the growth of these technologies.

For more details, please refer to the full paper: https://doi.org/10.1016/j.est.2024.112866

 

Contact Information:

Mohammed Khalifa Al-Alawi
School of Engineering, Technology and Design
Canterbury Christ Church University
Email: ma867@canterbury.ac.uk

About the School of Engineering, Technology and Design at Canterbury Christ Church University:

The School of Engineering, Technology and Design at Canterbury Christ Church University is dedicated to advancing sustainable research and innovation, with a strong focus on energy technologies. Our researchers are engaged in cutting-edge projects aimed at addressing global energy challenges, enhancing renewable energy systems, and promoting environmental sustainability. For more information, visit www.canterbury.ac.uk