2 papers
cs.LG2024
Generating Comprehensive Lithium Battery Charging Data with Generative AI
Lidang Jiang, Changyan Hu, Sibei Ji +3
In optimizing performance and extending the lifespan of lithium batteries, accurate state prediction is pivotal. Traditional regression and classification methods have achieved som…
cs.LG2024
Flexible Parallel Neural Network Architecture Model for Early Prediction of Lithium Battery Life
Lidang Jiang, Zhuoxiang Li, Changyan Hu +2
The early prediction of battery life (EPBL) is vital for enhancing the efficiency and extending the lifespan of lithium batteries. Traditional models with fixed architectures often…