An Overview of Artificial Intelligence Driven Li-Ion Battery State Estimation

Abstract

The omnipresence of batteries in nowadays appliances such as portable devices, electrical vehicles, hybrid microgrids, etc. gives them a special priority in energy storage. In addition, the high cost of battery manufacturing makes the maintenance and the monitoring of their states critical. The state estimation is a complicated process that may include many parameters to take into consideration. The effective solutions can lead towards an efficient maintenance of the intended battery packs and can render a longer life of cells in that pack. This chapter focuses on the critical process of battery state estimation and the role of artificial The omnipresence of batteries in nowadays appliances such as portable devices, electrical vehicles, hybrid microgrids, etc. gives them a special priority in energy storage. In addition, the high cost of battery manufacturing makes the maintenance and the monitoring of their states critical. The state estimation is a complicated process that may include many parameters to take into consideration. The effective solutions can lead towards an efficient maintenance of the intended battery packs and can render a longer life of cells in that pack. This chapter focuses on the critical process of battery state estimation and the role of artificial intelligence in battery state estimation.