For this reason, researchers have been employing advanced machine learning algorithms to accurately predict calendar ageing.

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How do the algorithms work?

Researchers train AI to predict EV battery degradation

Both algorithms were chosen for their ability to yield reliable results, but they differ significantly in their operation.

XGBoostis a decision tree-based, state-of-the-art supervisedmachine learningalgorithm thats widely used in regression or classification problems.

Simply put, the smaller the MAPE value, the higher the prediction accuracy.

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What did the results show?

Meanwhile, ANN produces satisfactory results for only the LFP, LTO, and NCA cell chemistries.

you’re able to find the full researchhere.

Machine learning EV battery degradation

Story byIoanna Lykiardopoulou

Ioanna is a writer at TNW.

With a background in the humanities, she has a soft spot for social impact-enabling technologies.

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