GAETS: A Graph Autoencoder Time Series Approach Towards Battery Parameter Estimation. (arXiv:2111.09314v2 [cs.LG] UPDATED)

Lithium-ion batteries are powering the ongoing transportation electrification
revolution. Lithium-ion batteries possess higher energy density and favourable
electrochemical properties which make it a preferable energy source for
electric vehicles. Precise estimation of battery parameters (Charge capacity,
voltage etc) is vital to estimate the available range in an electric vehicle.
Graph-based estimation techniques enable us to understand the variable
dependencies underpinning them to improve estimates. In this paper we employ
Graph Neural Networks for battery parameter estimation, we introduce a unique …

arxiv autoencoder battery graph lg series time time series