A physics-informed dynamic deep autoencoder for accurate state-of-health prediction of lithium-ion battery.
Zhaoyi XuYanjie GuoJoseph Homer SalehPublished in: Neural Comput. Appl. (2022)
Keyphrases
- artificial intelligence
- computer science
- computationally efficient
- prediction accuracy
- electric vehicles
- data structure
- artificial neural networks
- prediction error
- dynamic constraints
- real time
- temporal behavior
- socio economic
- prediction algorithm
- dynamic behavior
- health care
- dynamic environments
- state space
- mobile robot
- genetic algorithm