scholarly journals Optimization of fuzzy control energy management strategy for fuel cell vehicle power system using a multi‐islandgenetic algorithm

2020 ◽  
Author(s):  
Zhen Zhao ◽  
Tie Wang ◽  
Meng Li ◽  
Heng Wang ◽  
Yiquan Wang
Keyword(s):  
Fuel Cell ◽  
Fuzzy Control ◽  
Power System ◽  
Energy Management ◽  
Management Strategy ◽  
Fuel Cell Vehicle ◽  
Energy Management Strategy

scholarly journals Online Modeling of a Fuel Cell System for an Energy Management Strategy Design

Energies ◽  
2020 ◽  
Vol 13 (14) ◽  
pp. 3713 ◽  
Author(s):  
Mohsen Kandidayeni ◽  
Alvaro Macias ◽  
Loïc Boulon ◽  
João Pedro F. Trovão
Keyword(s):  
Fuel Cell ◽  
Energy Management ◽  
Management Strategy ◽  
Proton Exchange Membrane ◽  
Cell System ◽  
Proton Exchange ◽  
Fuel Cell Vehicle ◽  
Model Parameters ◽  
Energy Management Strategy ◽  
Initial Values

An energy management strategy (EMS) efficiently splits the power among different sources in a hybrid fuel cell vehicle (HFCV). Most of the existing EMSs are based on static maps while a proton exchange membrane fuel cell (PEMFC) has time-varying characteristics, which can cause mismanagement in the operation of a HFCV. This paper proposes a framework for the online parameters identification of a PMEFC model while the vehicle is under operation. This identification process can be conveniently integrated into an EMS loop, regardless of the EMS type. To do so, Kalman filter (KF) is utilized to extract the parameters of a PEMFC model online. Unlike the other similar papers, special attention is given to the initialization of KF in this work. In this regard, an optimization algorithm, shuffled frog-leaping algorithm (SFLA), is employed for the initialization of the KF. The SFLA is first used offline to find the right initial values for the PEMFC model parameters using the available polarization curve. Subsequently, it tunes the covariance matrices of the KF by utilizing the initial values obtained from the first step. Finally, the tuned KF is employed online to update the parameters. The ultimate results show good accuracy and convergence improvement in the PEMFC characteristics estimation.

Sign in / Sign up

Export Citation Format

Share Document