Comparative study between rule-based and frequency separation energy management strategies within fuel-cell/battery electric vehicle

Author(s):  
Hamza Alloui ◽  
Farid Khoucha ◽  
Nassim Rizoug ◽  
Mohamed Benbouzid ◽  
Abdelaziz Kheloui
2020 ◽  
Vol 462 ◽  
pp. 228167 ◽  
Author(s):  
Mohammed Amine Soumeur ◽  
Brahim Gasbaoui ◽  
Othmane Abdelkhalek ◽  
Jamel Ghouili ◽  
Tofik Toumi ◽  
...  

Author(s):  
Bachir Bendjedia ◽  
Nassim Rizoug ◽  
Moussa Boukhnifer ◽  
Farid Bouchafaa

Purpose The purpose of this paper is to propose and compare two energy management strategies (EMSs). First, a classic method based on frequency separation with fixed limits on fuel cell (FC) power is presented and tested. Then, the improvement of the classic strategy is developed and implemented when the main enhancements are its ease of implementation, hydrogen economy and extending hybrid source lifetime. Design/methodology/approach The proposed EMS is developed using an online variable power limitation of the FC depending on the battery state of charge while ensuring that the energy of batteries remains in its operating depth of discharge (DOD) range. Findings In the objective to show the benefits of the developed strategy, a comparative analysis was conducted between two strategies. The simulation and experimental results show the effectiveness and gains obtained by the improved energy management system (IEMS) in terms of fuel economy (13 per cent) and decreasing the applied stress on the FC (22 per cent) which leads to a longer life span of the whole system. Originality/value The proposed approach is developed and tested by simulation. To confirm it, a test bench has been assembled as hardware in the loop (HIL) real-time system. The presented experimental results confirm the efficiency and show the providing gains of the IEMS.


2012 ◽  
Vol 535-537 ◽  
pp. 1597-1600
Author(s):  
Ji Zhang ◽  
Shen Bao Wang

The advantages and disadvantages for several hybrid energy management strategies were analyzed in this paper. Power follower strategy served as the control strategy for some fuel cell electric vehicle. The control strategy was modeled and simulated in Advisor. The results indicate that the control strategy can manage the multiple energy sources well.


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