From data to durability: Evaluating conventional and optimized machine learning techniques for battery health assessment

Author:

Alwabli AbdullahORCID

Publisher

Elsevier BV

Reference35 articles.

1. Automatic battery health monitoring using machine learning for E-vehicles;Sarupriya;International Research Journal of Engineering and Technology,2023

2. Real-time monitoring system for lead acid battery health and performance using fuzzy logic and HIL simulator;Selvabharathi;Int. J. Eng. Trends Technol.,2023

3. Design and development of a battery state of health estimation model for efficient battery monitoring systems;Sun Choi;Sensors,2022

4. Power batteries health monitoring: a magnetic imaging method based on magnetoelectric sensors;Chen;Materials,2022

5. Construction of battery health monitoring system for new energy vehicles from a multi-dimensional perspective;Cao,2023

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