Volume 19: Sustainable Energy Solutions for a Post-COVID Recovery towards a Better Future: Part II

An Energy Management Strategy for PEMFC Hybrid Vehicles based on Adaptive Model Predictive Control Li Wang, Mince Li, Zhendong Sun, Zonghai Chen

Abstract

Proton exchange membrane fuel cells(PEMFCs) have the advantages of clean efficiency, long range and fast recharging, with a short life span and harsh operating conditions. To ensure their safe operation, extend the life of PEMFCs and improve the dynamic characteristics of the power system. This paper uses a combination of PEMFC, battery and supercapacitor (SC) to form a PEMFC hybrid power system. A comprehensive dynamic model is developed for the non-linearity and time-varying nature of the system.
Based on this, Adaptive Model Predictive Control
(AMPC) is used to allocate power to the system.
Minimized hydrogen consumption is considered in the rolling optimization function in AMPC. The simulation is validated by two different types of operating conditions and the experimental results show the effectiveness of the system’s model and power allocation strategy. The proposed energy management strategy can improve the stability of the PEMFC output and guarantee that the fuel cell, battery and SC work in a safe interval.

Keywords PEMFC, Battery, Supercapacitor, energy management, adaptive model predictive control