In this paper an analysis of hybrid architecture with a two-converters parallel configuration for electrical vehicle is presented. Then, two designed energy management strategies (EMS) are discussed: first, The EMS uses a power frequency splitting allowing a natural frequency decomposition of the power loads and secondly the EMS uses the optimal control theory, based on the Pontryagin's minimum principle, which has as objective to minimize hydrogen consumption and simultaneously protect the fuel cell health. Thus, the application of these two different strategies for energy management will provide as a mean of comparison. The simulation results show the effectiveness of the control strategy based on pontryagin's minimum principle in term of the improvement of the fuel consumption.
Purpose
The purpose of this paper is to propose two energy management strategies (EMS) for hybrid electric vehicle, the power system is an hybrid architecture (fuel cell (FC)/battery) with two-converters parallel configuration.
Design/methodology/approach
First, the authors present the EMS uses a power frequency splitting to allow a natural frequency decomposition of the power loads and second the EMS uses the optimal control theory, based on the Pontryagin’s minimum principle.
Findings
Thanks to the optimal approach, the control objectives will be easily achieved: hydrogen consumption is minimized and FC health is protected.
Originality/value
The simulation results show the effectiveness of the control strategy using optimal control theory in term of improvement of the fuel consumption based on a comparison analysis between the two strategies.
The strong nonlinear and uncertain parameters of the switched reluctance motor make the traditional controllers difficult to ensure a good performances and stable operation under diverse operating conditions. This work focuses on developing of a new robust design control for switched reluctance motor drives for electrical vehicle to attenuate the effect of disturbances and parameter uncertainties. For this, we have adopted the cascade control architecture (velocity-torque) using two different H ' syntheses (standard and fixed H ' approaches). The first controller of velocity in the outer control loop products the total torque of switched reluctance motor. Hence, a linear equivalent mechanical dynamic is obtained. In the inner control loop, the phase reference current is determined using the torque-angle-current (T À u À i) characteristics stored in lookup table, and the torque is regulated indirectly through the second controller of current. For each control loop, two H ' synthesis approaches are used and compared by m analysis. The simulation and experimental results demonstrate the effectiveness of the designed robust controllers and confirm the ability of the proposed strategies.
In this paper a mechanical sensorless control of Switched Reluctance Motors (SRMs) scheme of an electric vehicle (EV) powertrain is presented. The aim is to develop a soft sensors implementation for position and speed measurements of SRM. This contribution is focused on an extended Kalman filter and a sliding mode observer. The proposed observers are designed to generate speed and position estimations with the purpose of achieving highly robust speed control. The performances of these two observers are assessed and their robustness are analyzed. The design also includes a robustness analysis of the proposed mechanical sensorless control scheme under conditions which take the parameter variations and the load torque into account. To carry out this work, experiments are highlighted on an experimental test bench of 8/6 Switched Reluctance Motor prototype.
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