Energy Management Strategy for a Fuel Cell E-REV Based on Minimum Power Loss Algorithm

2012 ◽  
Vol 510 ◽  
pp. 603-608
Author(s):  
Jin Yu Hu ◽  
Ke Song ◽  
Tong Zhang
Keyword(s):  
Fuel Cell ◽  
Energy Management ◽  
Power Loss ◽  
Management Strategy ◽  
Energy Management Strategy ◽  
Fuel Cell Stack ◽  
Minimum Power ◽  
Range Extender ◽  
Set Up ◽  
Different Characteristics

Aim at the different characteristics from general fuel-cell vehicles of extended-range electric vehicles (E-REVs) with a fuel-cell stack as the Range Extender (RE), an energy management strategy based on minimum power loss algorithm is presented, which considers the efficiency of the fuel-cell stack and the charging and discharging efficiency of battery. The strategy is realized by neural network, simulated with the E-REV model, which is set up with ADVISOR. And a longer driving range is obtained.

Real-Time Energy Management Strategy for Fuel Cell Range Extender Vehicles Based on Nonlinear Control

2019 ◽  
Vol 5 (4) ◽  
pp. 1294-1305 ◽  
Author(s):  
Yuanzhi Zhang ◽  
Caizhi Zhang ◽  
Zhiyu Huang ◽  
Liangfei Xu ◽  
Zhitao Liu ◽  
...  
Keyword(s):  
Fuel Cell ◽  
Nonlinear Control ◽  
Real Time ◽  
Energy Management ◽  
Management Strategy ◽  
Energy Management Strategy ◽  
Range Extender ◽  
Cell Range

Optimal energy management strategy for fuel cell/battery/supercapacitor vehicles using wavelet transform and equivalent consumption minimization strategy

2021 ◽  
pp. 095440702110697
Author(s):  
Pengfei Zou ◽  
Fazhan Tao ◽  
Zhumu Fu ◽  
Pengju Si ◽  
Chao Ma
Keyword(s):  
Wavelet Transform ◽  
Fuel Cell ◽  
Energy Management ◽  
Fuel Economy ◽  
Management Strategy ◽  
Low Frequency ◽  
Energy Management Strategy ◽  
Power Sources ◽  
Optimal Energy ◽  
Optimal Energy Management

In this paper, the hybrid electric vehicle is equipped with fuel cell/battery/supercapacitor as the research object, the optimal energy management strategy (EMS) is proposed by combining wavelet transform (WT) method and equivalent consumption minimization strategy (ECMS) for reducing hydrogen consumption and prolonging the lifespan of power sources. Firstly, the WT method is employed to separate power demand of vehicles into high-frequency part supplied by supercapacitor and low-frequency part allocated to fuel cell and battery, which can effectively reduce the fluctuation of fuel cell and battery to prolong their lifespan. Then, considering the low-frequency power, the optimal SOC of battery is used to design the equivalent factor of the ECMS method to improve the fuel economy. The proposed hierarchical EMS can realize a trade-off between the lifespan of power sources and fuel economy of vehicles. Finally, the effectiveness of the proposed EMS is verified by ADVISOR, and comparison results are given compared with the traditional ECMS method and ECMS combining the filter.

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