Design, Modeling and Energy Management of a PEM Fuel Cell / Supercapacitor Hybrid Vehicle
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2017, Vol 8, Issue 1
Abstract
This work concerns the study and the modeling of hybrid Proton Exchange Membrane (PEM) Fuel Cell electric vehicle. In fact, the paper deals with the model description of the powertrain which includes two energy sources: a PEM Fuel Cell as a primary source and a supercapacitor as a secondary source. The architecture is two degrees of freedom permitting a stability of the DC bus voltage. The hybridation of primary source with an energy storage system can improve vehicle dynamic response during transients and hydrogen consumption. The proposed energy management algorithm allows us to have a minimum hydrogen consumption. This algorithm is based on supercapacitor state of charge (SOC) control and acceleration/deceleration phases making possible braking energy recovery. The proposed model is simulated and tested using Matlab/Simulink software allowing rapid transitions between sources. The obtained results with the New European Driving Cycle (NEDC) cycle demonstrate a 22% gain in hydrogen consumption.
Authors and Affiliations
Wahib Andari, Samir Ghozzi, Hatem Allagui, Abdelkader Mami
Keywords
Related Articles
- EP ID EP249844
- DOI 10.14569/IJACSA.2017.080135
- Views 101
- Downloads 0
Framework for Digital Data Access Control from Internal Threat in the Public Sector
Information management is one of the main challenges in the public sector because the information is often exposed to threat risks, particularly internal ones. Information theft or misuse, which is attributed to human fa...
Proposal for Two Enhanced NTRU
Sound is very widely used in communication. In order to ensure secure communication a cryptographic data scheme is used. Secure sound is needed in many fields such as military, business, banking and electronic commerce....
A Robust System for Noisy Image Classification Combining Denoising Autoencoder and Convolutional Neural Network
Image classification, a complex perceptual task with many real life important applications, faces a major challenge in presence of noise. Noise degrades the performance of the classifiers and makes them less suitable in...
Seamless Connectivity for Adaptive Multimedia Provisioning over P2P-enabled IP Multimedia Subsystem
The subsystem multimedia internet network (IMS) has been upgraded to support peer-to-peer content distribution services, the peer heterogeneity constraint imposes a challenge that is the guarantee of a certain level of Q...
Time-Saving Approach for Optimal Mining of Association Rules
Data mining is the process of analyzing data so as to get useful information to be exploited by users. Association rules is one of data mining techniques used to detect different correlations and to reveal relationships...