In this paper, a real-time simulation of a hybrid energy storage system (HESS), using a hardwarein- the-loop (HIL) platform is proposed. The HESS is in a semi-active configuration including Supercapacitors (SC) controlled by a chopper and a Li-ion battery. The model organization was performed using Energetic Macroscopic Representation (EMR). The energy flow management is provided by an energy management strategy (EMS) based on fuzzy logic controller (FLC), developed in C language for ARDUINO and uploaded into the aTmega microcontroller. The main objective of this work, is to evaluate, on the one hand the performances of the proposed architecture, by reducing the factors that impact the battery performances. On the other hand, the program and the platform (HIL) developed, through the comparison of results with those of the simulation, performed on MATLAB/SIMULINK under ECE-15 cycle.

This paper presents an energy management system (EMS) based on fuzzy logic control (FLC) strategy combined with power filtering. This strategy is developed for an Electric Vehicle (EV) hybrid energy storage systems (HESS). The proposed control and energy management strategy (EMS) aims to ensure an efficient power split guaranteeing that battery and supercapacitors (SC) provide the continuous and transient-power, respectively, adopting a pure electric vehicle fully-active parallel topology. In order to develop the studied system model, the Energetic Macroscopic Representation (EMR) approach is adopted. Considering SC’s control criterion, and battery root mean square RMS current reducing, an evaluation of the proposed EMS and developed model was conducted using MATLAB/SIMULINK simulation under New European Driving Cycle (NEDC) and compared to the classical only battery storage configuration.

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In this paper, we present a dynamic simulator that uses a proton exchange membrane fuel cell (PEMFC). This source, is used as a primary source with a supercapacitor (SC) considered as a secondary source. This simulator integrates a PEMFC’s dynamic model, validated on the Bahia bench and a semi-empirical model of SC. The developed model is implemented using the macroscopic energetic representation tool (EMR). The energy management system (EMS) is based on rule-based power management, where a low-pass filter splits the power among sources (PEMFC and SCs) using a cut-off frequency of 0.2Hz, and a controller block that regulates the bus voltage deduced by the EMR’s inversion-based control approach.

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