Prognostics-based Energy Management in Fuel Cell Hybrid Electric Vehicle Considering RUL Uncertainty

Abstract

PEM Fuel cells, characterized by low operating temperature, fast response, high energy density and high efficiency, have found their place in automotive applications. However, the durability of on-board fuel cells is facing challenges. Aiming at improving system durability and reliability, prognostics and health management, as a smart manufacturing discipline, have been applied to monitor the system health state and protect the system integrity. This paper proposes to combine prognostics when developing energy management strategies for fuel cell electric vehicles, which is used to assess and predict the fuel cell performance. This paper has also considered the uncertainties of the prognostics results and a prognostics-enabled decision-making process is designed as the post-prognostics process to perform energy management in a fuel cell hybrid electric vehicle.