Frequency separation based energy management strategy for fuel cell electrical vehicle with super-capacitor storage system

2018 ◽  
Author(s):  
Hajer Marzougui ◽  
Ameni Kadri ◽  
Mansour Amari ◽  
Faouzi Bacha
Keyword(s):  
Fuel Cell ◽  
Energy Management ◽  
Management Strategy ◽  
Storage System ◽  
Frequency Separation ◽  
Energy Management Strategy ◽  
Super Capacitor ◽  
Electrical Vehicle ◽  
Capacitor Storage

scholarly journals Optimization Analysis of the Energy Management Strategy of the New Energy Hybrid 100% Low-Floor Tramcar Using a Genetic Algorithm

2018 ◽  
Vol 8 (7) ◽  
pp. 1144 ◽  
Author(s):  
Minggao Li ◽  
Ming Li ◽  
Guopeng Han ◽  
Nan Liu ◽  
Qiumin Zhang ◽  
...  
Keyword(s):  
Genetic Algorithm ◽  
Fuel Cell ◽  
Energy Management ◽  
Management Strategy ◽  
Maximum Output Power ◽  
Maximum Output ◽  
Energy Management Strategy ◽  
Super Capacitor ◽  
Power Requirement ◽  
Hydrogen Consumption

Performance and economic efficiency of the fuel cell (FC)/battery/super capacitor (SC) hybrid 100% low-floor tramcar is mainly determined by its energy management strategy. In this paper, a train traction model was built to calculate the power output and energy consumption properties of the hybrid tramcar. With the purpose of reducing hydrogen consumption, the genetic algorithm was adopted to optimize the original energy management strategy. The results before and after the optimization show that the power requirement of the tramcar can be satisfied in both situations with the fuel cell (FC) module non-stopped. The maximum output power of the FC is reduced from 170 kW to 101.21 kW. As for the SC, a two-parallel connection module is used instead of the three-parallel one, and the power range changes from −125~250 kW to −67~153 kW. Under the original energy management strategy, the battery cannot be used efficiently with less exporting and absorbent power. Its utilization ratio is improved greatly after optimization. In sum, the equivalent total hydrogen consumption is reduced from 3.3469 kg to 2.8354 kg, dropping by more than 15%.

Energy management and control strategy for a DFIG wind turbine/fuel cell hybrid system with super capacitor storage system

Energy ◽  
2020 ◽  
Vol 192 ◽  
pp. 116518 ◽  
Author(s):  
Ameni Kadri ◽  
Hajer Marzougui ◽  
Abdelkrim Aouiti ◽  
Faouzi Bacha
Keyword(s):  
Fuel Cell ◽  
Wind Turbine ◽  
Energy Management ◽  
Hybrid System ◽  
Control Strategy ◽  
Cell Hybrid ◽  
Storage System ◽  
Super Capacitor ◽  
Capacitor Storage ◽  
And Control

scholarly journals Energy Management of a Multi-Source Vehicle by λ-Control

2020 ◽  
Vol 10 (18) ◽  
pp. 6541
Author(s):  
Ali Castaings ◽  
Walter Lhomme ◽  
Rochdi Trigui ◽  
Alain Bouscayrol
Keyword(s):  
Energy Storage ◽  
Fuel Cell ◽  
Real Time ◽  
Energy Management ◽  
Management Strategy ◽  
Storage System ◽  
Energy Storage System ◽  
Energy Management Strategy ◽  
The Real ◽  
Hydrogen Consumption

This paper deals with the real-time energy management of a fuel cell/battery/supercapacitors energy storage system for electric vehicles. The association of the battery and the supercapacitors with the fuel cell aims to reduce the hydrogen consumption while limiting the constraints on the fuel cell and the battery. In this paper, a real-time optimization-based energy management strategy by λ-control is proposed. Simulation results on a standard driving cycle show that the hydrogen consumption is reduced by 7% in comparison with a fuel-cell-based electric vehicle without any secondary energy storage source. Moreover, the energy management strategy ensures the system safety while preserving the fuel cell and the battery. Experimental results show that the developed energy management strategy is well-suited for the real-time requirements, applicability, and safety.

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