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In this paper, an effective control strategy is proposed to manage energy distribution from fuel cells and batteries for hybrid electric boat applications. The main objectives of this real-time control are to obtain fast current tracking for the batteries’ system, the DC bus voltage stability by using a fuel cell, and energy load distribution for a hybrid electric boat under varying demand conditions. The proposed control strategy is based on a combination of frequency approach and current/voltage control of interleaved boost converters to reduce the hydrogen consumption by the fuel cell and improve the quality of energy transfer. The frequency approach was dedicated to managing the DC power-sharing between the load, the fuel cell, and the batteries’ storage system by extracting the power references. The closed loop control system utilized to control the energy is based on the DC/DC converters. The performance evaluation of the proposed control strategy has been tested through a real-time experimental test bench based on a dSPACE board (DS1104).

International audience; This paper deals with an energy management improvement based on frequency sharing approach for an electric vehicle. In order to satisfy the traction/propulsion system requirement, the Fuel cell (FC) system is assisted by lithium-ion batteries and Supercapacitors (SC). Bidirectional Buck Boost converters link the batteries and Supercapacitors to the DC-Bus. The FC stack is connected to the DC-Bus by an interleaved Boost DC-DC converter. The traction/propulsion motor is a permanent magnet synchronous motor (PMSM) coupled to a DC motor in order to emulate the vehicle's load and energy requirements during the driven cycle. The DC-Bus feeds the permanent magnet synchronous motor via a bidirectional DC-AC converter. The contribution of this study involves EV's energy effort sharing between Supercapacitors, Fuel cells and Lithium-ion batteries, taking into account the dynamic responses and electrical performances of each energy sources. The effectiveness of the control is verified through simulations performed on Matlab/Simulink software.

In order to get correct results using the Model Predictive Control (MPC), one must find the suitable values of its parameters. Despite a large number of papers in literature on MPC tuning methods, there is no available analytical approach permitting to identify explicitly the robustness area of a process independently of its order. Here we intend to overcome this limit thanks to an analytical one. The interest of our approach is to be applicable to a wide set of linear controllable and observable single-input single-output (SISO) processes. The issues of optimal closed-loop stability and the energy consumed are addressed in this paper. The proposed method is tested experimentally via a DC motor. Finally, a performance comparison is made with existing methods to emphasize its effectiveness.

International audience; This paper describes an energy management strategy for an electric vehicle (EV). The proposed EV architecture contains a pack of the batteries which presents the energy source and a pack of the supercapacitors (SC) used as power source. The pack of the batteries produces the necessary energy to move forward the vehicle while the pack of the SC produces the lacking power in acceleration and in braking phases. Two DC-DC converters are used to interface the energy sources with the DC-bus. A bidirectional DC-AC converter is used to connect the traction motor to the DC-bus. The proposed control method is focused on the power flow management within the EV depending on electrical behavior of the energy sources. The validity of the proposed control strategy is proofed through some reduced scale simulations tests using the New European Driving Cycle (NEDC).

International audience; This paper presents energy management strategy for electric vehicle (EV) applications. The proposed method is used to share the requested energy of the EV between the ultracapacitors (UCs) and lithium-batteries. The traction motor is a Permanent Magnet Synchronous Machine (PMSM) controlled by a Voltage-Source-Inverter (VSI) and fed by the UCs and the batteries. The energy storage system (ESS) is connected to DC-bus through two DC-DC converters. The aim of this paper is focused on requested EV power sharing between UCs pack and the batteries pack according to the dynamic response of these sources using anti-windup PI controller. This study is based on a real example of EV, in addition only the traction mode is considered. The performances of the proposed method are evaluated through some simulations using MATALB/Simulink software.