Abstract
Using frequency splitting, two energy management strategies (EMS) based on Haar wavelet decomposition and Fourier analysis for fuel cell hybrid vehicle (FCHV) are proposed to manage efficiently the power flow between components. The paper aims to discuss the performances of the proposed EMS in terms of dynamic behavior, robustness operation, real time application and fuel economy. For apply this methodology, two EMS approaches are elaborated and successfully tested for parallel Fuel Cell/UC: conventional approach using Fourier Transform analysis (FT) and Wavelet analysis approach allowing natural frequency splitting. Finally, and to evaluate the performance and relevance of the developed approach, a comparison analysis were conducted. The simulation results exhibit the effectiveness of both strategies. Indeed, Wavelet analysis leads to better results in terms of energy flow and dynamic behavior, excellent robustness and stability of system, as well as energy economy improvement. A very relevant strategy is proposed based on Wavelet analysis using digital filtering techniques, which enables a natural frequency splitting to ensure the best global performances. In addition, the approach remains simple and suitable for real time operation.
Highlights
Fuel Cell Hybrid Vehicles (FCHV) have environmental and health benefits compared to conventional vehicles
Second: strategies based on optimization approaches was another method can say more important because a series of optimization techniques have been applied in recent years such as linear programming or non-linear programming, dynamic programming, optimal linear-quadratic control, the genetic algorithm and Model Predictive Control (MPC) [18,19,20], Pontriagin minimum principle has been used to achieve online optimum power distribution in a hybrid vehicle, Another online energy management strategy called Equivalent Consumption Minimization Strategy “ECMS”, proposed by Musardo and Serrao [21,22,23], is based on an adaptive algorithm, In addition, these methods being global, it is very difficult to extract information from them about optimization methods that can be generalized to different situations or configurations
Our hybrid vehicle system is composed on two different sources fuel cell (FC) and ultra-capacitors (UC), each source is connected by a DC/DCconverter, for this we have exploited a strong strategy based on wavelet transform to ensure the sharing of power demand and energy between these sources, identify the current trajectory for each source
Summary
Fuel Cell Hybrid Vehicles (FCHV) have environmental and health benefits compared to conventional vehicles. Second: strategies based on optimization approaches was another method can say more important because a series of optimization techniques have been applied in recent years such as linear programming or non-linear programming, dynamic programming, optimal linear-quadratic control, the genetic algorithm and Model Predictive Control (MPC) [18,19,20], Pontriagin minimum principle has been used to achieve online optimum power distribution in a hybrid vehicle, Another online energy management strategy called Equivalent Consumption Minimization Strategy “ECMS”, proposed by Musardo and Serrao [21,22,23], is based on an adaptive algorithm, In addition, these methods being global, it is very difficult to extract information from them about optimization methods that can be generalized to different situations or configurations Their performances are related to the tradeoff between complexity formulation (parameters/constraints/objectives), conflicting requirements, computational time and exploration abilities (poor convergence). By using two different driving cycles, results provide evidence the strength of this approach and show high performances of the elaborated control method for various load power demands (driving cycles)
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