scholarly journals Design and Validation of Energy Management Strategy for Extended-Range Fuel Cell Electric Vehicle Using Bond Graph Method

Energies ◽  
2021 ◽  
Vol 14 (2) ◽  
pp. 380
Author(s):  
Ke Song ◽  
Yimin Wang ◽  
Cancan An ◽  
Hongjie Xu ◽  
Yuhang Ding
Keyword(s):  
Graph Theory ◽  
Fuel Cell ◽  
Energy Management ◽  
Management Strategy ◽  
Bond Graph ◽  
Fuel Cell Vehicles ◽  
Energy Management Strategy ◽  
Powertrain System ◽  
Extended Range ◽  
Bond Graph Theory

In view of the aggravation of global pollution and greenhouse effects, fuel cell electric vehicles (FCEVs) have attracted increasing attention, owing to their ability to release zero emissions. Extended-range fuel cell vehicles (E-RFCEVs) are the most widely used type of fuel cell vehicles. The powertrain system of E-RFCEV is relatively complex. Bond graph theory was used to model the important parts of the E-RFCEV powertrain system: Battery, motor, fuel cell, DC/DC, vehicle, and driver. In order to verify the control effect of energy management strategy (EMS) in a real-time state, bond graph theory was applied to hardware-in-the-loop (HiL) development. An HiL simulation test-bed based on the bond graph model was built, and the HiL simulation verification of the energy management strategy was completed. Based on the comparison to a power-following EMS, it was found that fuzzy logic EMS is more adaptive to vehicle driving conditions. This study aimed to apply bond graph theory to HiL simulations to verify that bond graph modeling is applicable to complex systems.

scholarly journals Degradation-Conscious Equivalent Consumption Minimization Strategy for a Fuel Cell Hybrid System

Energies ◽  
2021 ◽  
Vol 14 (13) ◽  
pp. 3810
Author(s):  
Laeun Kwon ◽  
Dae-Seung Cho ◽  
Changsun Ahn
Keyword(s):  
Fuel Cell ◽  
Energy Management ◽  
Electric Vehicles ◽  
Control Strategy ◽  
Management Strategy ◽  
Cell System ◽  
Energy Management Strategy ◽  
Powertrain System ◽  
Fuel Cell Electric Vehicles ◽  
Equivalent Consumption Minimization Strategy

The design of an energy management strategy is critical to improving the fuel efficiency of a vehicle system with an alternative powertrain system, such as hybrid electric vehicles or fuel cell electric vehicles. In particular, in fuel cell electric vehicles, the energy management strategy should consider system degradation and fuel savings because the hardware cost of the fuel cell system is much higher than that of a conventional powertrain system. In this paper, an easily implantable near-optimal energy management controller is proposed. The proposed controller distributes power generation between the fuel cell and the battery to simultaneously minimize system degradation and fuel usage. The controller is designed to consider the degradation cost and fuel cost in the framework of the equivalent consumption minimization strategy concept. The proposed controller was validated with a fuel cell electric vehicle model in MATLAB/Simulink (MathWorks, Natick, USA). The proposed control strategy showed significant overall cost reduction compared to a thermostat control strategy and a conventional Equivalent Consumption Minimization Strategy (ECMS) strategy.

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