Design and Validation of Energy Management Strategy for Extended-Range Fuel Cell Electric Vehicle Using Bond Graph Method
Ke Song,
Yimin Wang,
Cancan An,
Hongjie Xu and
Yuhang Ding
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Ke Song: School of Automotive Studies, Tongji University, Shanghai 201804, China
Yimin Wang: School of Automotive Studies, Tongji University, Shanghai 201804, China
Cancan An: Beijing Aerospace Propulsion Institute, Fengtai District, Beijing 100076, China
Hongjie Xu: School of Automotive Studies, Tongji University, Shanghai 201804, China
Yuhang Ding: School of Automotive Studies, Tongji University, Shanghai 201804, China
Energies, 2021, vol. 14, issue 2, 1-31
Abstract:
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.
Keywords: extended-range fuel cell electric vehicle; energy management strategy; bond graph method; hardware-in-the-loop (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (1)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:14:y:2021:i:2:p:380-:d:478865
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