Stochastic power management approach for a hybrid solid oxide fuel cell/battery auxiliary power unit for heavy duty vehicle applications

被引:31
作者
Barelli, L. [1 ]
Bidini, G. [1 ]
Ciupageanu, D. A. [1 ]
Pianese, C. [2 ]
Polverino, P. [2 ]
Sorrentino, M. [2 ]
机构
[1] Univ Perugia, Dept Engn, Via G Duranti 93, I-06100 Perugia, PG, Italy
[2] Univ Salerno, Dept Ind Engn, Via Giovanni Paolo II 132, I-84084 Fisciano, SA, Italy
关键词
Hybrid auxiliary power unit; Power management strategy; Simultaneous perturbation stochastic approximation; Battery; Solid oxide fuel cell; PERTURBATION; SYSTEMS; CELL; APU;
D O I
10.1016/j.enconman.2020.113197
中图分类号
O414.1 [热力学];
学科分类号
摘要
The present paper aims to develop an innovative real-time power management strategy dedicated to the efficient operation of an auxiliary power unit (APU) in a heavy-duty vehicle. Specifically, the APU comprises a Solid Oxide Fuel Cell (SOFC) system and a Lead-Acid battery pack. The power management strategy envisages optimal power sharing between the APU elements and it is defined based on Simultaneous Perturbation Stochastic Approximation (SPSA) principle, pursuing SOFC power profile smoothing in real-time. The SPSA-based algorithm introduced here overcomes real-time operation issues remarked in other implementations (fuzzy logic, genetic algorithms), accounting for a robust and less complex formulation. The power management strategy is implemented in a dynamic model developed in Matlab/Simulink, simulating SOFC-based APU behavior. Simulation outcomes highlight that the proposed strategy allows a global energy saving over 6% if compared to a conventional power management, based on power split control. Moreover, comparing the power profiles corresponding to the battery and the SOFC, it is remarked as SOFC power oscillations evaluated over 1 s timeframe are halved, achieving values lower than 4.5 W/s for more than 80% of the operation time.
引用
收藏
页数:12
相关论文
共 51 条
[1]  
[Anonymous], 2014, INT J VEHICULAR TECH
[2]  
Ataer OE, 2004, INT J REFRIG
[3]  
Barelli L., 2019, P 2019 IEEE PES INN, P1, DOI [10.1109/ ISGTEurope.2019.8905775, DOI 10.1109/ISGTEUROPE.2019.8905519]
[4]   Simulation of a SOFC/Battery powered vehicle [J].
Bessekon, Yannick ;
Zielke, Philipp ;
Wulff, Anders C. ;
Hagen, Anke .
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY, 2019, 44 (03) :1905-1918
[5]   Stochastic Approximation Algorithms for Constrained Optimization via Simulation [J].
Bhatnagar, Shalabh ;
Hemachandra, N. ;
Mishra, Vivek Kumar .
ACM TRANSACTIONS ON MODELING AND COMPUTER SIMULATION, 2011, 21 (03)
[6]   Predictive Energy Management of a Power-Split Hybrid Electric Vehicle [J].
Borhan, H. Ali ;
Vahidi, Ardalan ;
Phillips, Anthony M. ;
Kuang, Ming L. ;
Kolmanovsky, Ilya V. .
2009 AMERICAN CONTROL CONFERENCE, VOLS 1-9, 2009, :3970-+
[7]  
Brodrick C. J., 2001, 724 SAE
[8]   A Decentralized Energy Management Strategy for a Fuel Cell/Supercapacitor-Based Auxiliary Power Unit of a More Electric Aircraft [J].
Chen, Jiawei ;
Song, Qingchao .
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2019, 66 (07) :5736-5747
[9]   A Decentralized Dynamic Load Power Allocation Strategy for Fuel Cell/Supercapacitor-Based APU of Large More Electric Vehicles [J].
Chen, Jiawei ;
Song, Qingchao .
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2019, 66 (02) :865-875
[10]  
Ghaib K., 2016, INT J HYDROGEN ENERG