Vol. 5 No. 1 (2025): Issue 5
Articles

An Efficient Probabilistic Decision Tree-guided Approach for Battery Life Estimate

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  • Takumi Saito,
  • Haruka Tanaka,
  • Erik Nilsson,
  • Riku Yoshida
Takumi Saito
Department of Electrical and Electronic Engineering, Kitami Institute of Technology, Kitami, 090-8507, Japan
Haruka Tanaka
Advanced Energy Systems Research Center, Muroran Institute of Technology, Muroran, 050-8585, Japan
Riku Yoshida
Battery Innovation Laboratory, University of Toyama, Toyama, 930-8555, Japan

Published 2025-04-22

Keywords

  • Battery Life Estimation,
  • Probabilistic Decision Trees,
  • Computational Efficiency,
  • Uncertainty Quantification,
  • Degradation Factors

How to Cite

Saito, T., Tanaka, H., Nilsson, E., & Yoshida, R. (2025). An Efficient Probabilistic Decision Tree-guided Approach for Battery Life Estimate. Journal of Innovations in Engineering and Multidisciplines, 5(1). Retrieved from https://ojs.mri-pub.com/index.php/JIEM/article/view/131

Copyright (c) 2025 Journal of Innovations in Engineering and Multidisciplines

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Abstract

Battery life estimation is crucial for the optimal operation of various electronic devices and renewable energy systems. However, existing methods often suffer from limitations in accuracy and computational efficiency. This paper addresses the current challenges by proposing an innovative Probabilistic Decision Tree-guided approach for battery life estimation. The proposed method leverages the power of decision trees to efficiently model the complex relationships between battery usage patterns and degradation factors, while incorporating probabilistic techniques for uncertainty quantification. Through extensive experiments and comparisons with state-of-the-art methods, our approach demonstrates superior accuracy and computational efficiency, making it a promising solution for reliable battery life estimation in practical applications.

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