Posts by Collection

publications

<a href='https://doi.org/10.1016/j.energy.2024.132840' target='_blank'>A Robust Adapted Flexible Parallel Neural Network Architecture for Early Prediction of Lithium Battery Lifespan</a>

A Robust Adapted Flexible Parallel Neural Network Architecture for Early Prediction of Lithium Battery Lifespan

This paper presents a robust adapted Flexible Parallel Neural Network (FPNN) architecture for the early prediction of lithium battery lifespan, demonstrating superior predictive performance on the MIT dataset.

Recommended citation: Lidang Jiang, Zhuoxiang Li, Changyan Hu, Junxiong Chen, Qingsong Huang, Ge He. "A Robust Adapted Flexible Parallel Neural Network Architecture for Early Prediction of Lithium Battery Lifespan." Energy, 308:132840, 2024.
Download PDF

Generating Comprehensive Lithium Battery Charging Data with Generative AI

This study introduces a generative AI model to synthesize comprehensive lithium battery charging data, addressing the challenges of data incompleteness and high-quality dataset generation.

Recommended citation: Lidang Jiang, Changyan Hu, Sibei Ji, Hang Zhao, Junxiong Chen, Ge He. "Generating Comprehensive Lithium Battery Charging Data with Generative AI." Applied Energy, 377:124604, 2025.
Download PDF