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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.

The recent technological advances related to embedded systems, and the increased requirements of the Electric Vehicle (EV) industry, lead to the evolution of design and validation methodologies applied to complex systems, in order to design a product that respects the requirements defined according to its performance, safety, and reliability. This research paper presents a design and validation methodology, based on a hardware-in-the-loop (HIL) approach, including a software platform represented by Matlab/ Simulink and a real-time STM32 microcontroller used as a hardware platform. The objective of this work is to evaluate and validate an Energy Management System (EMS) based on Fuzzy Logic Controller (FLC), developed in C code and embedded on an STM32 microcontroller. The developed EMS is designed to control, in real-time, the energy flow in a hybrid energy storage system (HESS), designed in an active topology, made of a Li-ion battery and Super-Capacitors (SC). The proposed HESS model was organized using the Energetic Macroscopic Representation (EMR) and constructed on Matlab/Simulink software platform. The evaluation and validation of the developed algorithm were performed by comparing the HIL and simulation results under the New European Driving Cycle (NEDC).