Degradation Abatement in Hybrid Electric Vehicles using Data-Driven Technique
Laxman Timilsina, Phuong H. Hoang, Ali Arsalan, Bill R. Badr, Gökhan Özkan, Behnaz Papari, Christopher S. Edrington
Abstract
Electrified transportation is considered one of the most feasible technological solutions to address the growing climate change challenges in the electric transportation sector. However, the batteries used in electric vehicles (EVs) and hybrid electric vehicles (HEVs) have limited life. The degradation of the battery is accelerated by the operating conditions of the vehicle, which further reduces its life and increases the reliability and economic concerns for the vehicle's operation. This paper provides a technique to minimize the degradation of the battery used in HEVs called a prognostic-based control framework. A data-driven method is used to predict the degradation path of the battery. Depending on the degradation, the control strategy of the system is reconfigured to reduce the degradation and increase the battery's operating life.