Survey on task-centric robot battery management: A neural network framework-Reference-Cited by-同舟云学术

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Survey on task-centric robot battery management: A neural network framework

Published:2024-08 Issue: Volume:610 Page:234674
ISSN:0378-7753
Container-title:Journal of Power Sources
language:en
Short-container-title:Journal of Power Sources

Author:

Lin Zihui,Huang Zhongwei,Yang Shuojin,Wu Chenhao,Fang Sen,Liu Zhichun,Yang Min,Xie Zhihui,Li Dagang,Zou Yuntao^ORCID

Publisher

Elsevier BV

Reference164 articles.

1. A machine learning-based battery management system for state-of-charge prediction and state-of-health estimation for unmanned aerial vehicles;Shibl;J. Energy Storage,2023

2. A review for control theory and condition monitoring on construction robots;Shi;J. Field Robotics,2023

3. A causal-based approach to explain, predict and prevent failures in robotic tasks;Diehl;Robot. Auton. Syst.,2023

4. High-energy lithium-ion batteries: recent progress and a promising future in applications;Xu;Energy Environ. Mater.,2023

5. Advancements in Artificial Neural Networks for health management of energy storage lithium-ion batteries: A comprehensive review;Zou;J. Energy Storage,2023

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