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January 1, 2026International Journal of Advanced Mechatronic Systems

Predicting battery remaining useful life based on opposition-based flower pollination algorithm and XGBoost with optimised boosting hyperparameters

Bighnaraj Naik R. K. Sahu Geetanjali Bhoi Manohar Mishra Jai Govind Singh

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Key Points

This research aims to enhance the prediction of battery remaining useful life by employing optimized algorithms.
Utilized the opposition-based flower pollination algorithm for optimization.
Implemented XGBoost model with tuned boosting hyperparameters for accurate predictions.
Achieved significant improvements in prediction accuracy over traditional methods.
Demonstrated effective utilization of advanced algorithms for better performance.

Implication

Study predicts battery life using advanced algorithms, indicating improved accuracy in forecasting.

Abstract

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Cite This Study

Naik et al. (2026) studied this question.

synapsesocial.com/papers/6a2ba3748101cf8926f022b8 https://doi.org/10.1504/ijamechs.2026.10079079

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Keep reading

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