Basal Study on Power Control Strategy for Fuel Cell/Battery Hybrid Vehicle

Dingyue Chen, Xia Li, Lihao Chen, Yonghui Zhang, Li Yang, Songsong Li


In order to enhance the fuel economy of hybrid vehicle and increase the mileage of continuation of journey, the power control strategy (PCS) is as significant as component sizing in achieving optimal fuel economy of the fuel cell/battery hybrid vehicle (FCBHV). The models of FCBHV structure and optimal power control strategy are developed by electric vehicle simulation software ADVISOR which uses a hybrid backward/forward approach. The results demonstrate that the proposed control strategy can satisfy the power requirement for two standard driving cycles and achieve the power distribution among various power sources. The comprehensive comparisons with the power tracking controller (PTC) which is wide adopted in ADVISOR verify that the proposed control strategy has better rationality and validity in terms of fuel economy and dynamic property in two standard driving cycles. Therefore, the proposed strategy will provide a novel approach for the advanced power control system of FCBHV.

Full Text:



Dingyue C, Lifeng W, Lihao C, Yu S, Jianchao B. The Design Method of Extended Range Electric Vehicles. Advanced Materials Research, 2014; 827: 61-65.

Ramos-Paja CA, Romero A, Giral R, Calvente J, Martinez-Salamero L. Mathematical analysis of hybrid topologies efficiency for PEM fuel cell power systems design. J Electr Power Energy Syst. 2010; 32(5):1049–1061.

Hajizadeh A, Golkar MA. Control of hybrid fuel cell/energy storage distributed generation system against voltage sag.” J Electr Power Energy Syst. 2010; 32(2): 488–497.

Wang Y, Choi S, Lee E. Efficient and ripple-mitigating dc–dc converter for residential fuel cell system. J Electr Power Energy Syst. 2009; 32(1): 43–49.

Xiaolan W, Binggang C, Xueyan L, Jun X, Xiaolong R. Component sizing optimization of plug-in hybrid electric vehicles. Applied Energy. 2011; 88(3):799-804.

Dingyue C, Haipeng W, Jianchao B, Lifeng W,Zhaobin G, Linglang J. Theory and Technique on Design of Extended Range in Solar Powered Intellective Vehicles. Applied Mechanics and Materials. 2013; 300-301: 199-202.

Chen D, Wu H, Bao J et al.. The Security Technology and Tendency of New Energy Vehicle in the Future. 2013 Fifth International Conference on Measuring Technology and Mechatronics Automation. Hong Kong. 2013; 39: 1227-1229.

Thounthong P, Pierfederici S, Martin J-P, Hinaje M, Davat B. Modeling and control of fuel cell/supercapacitor hybrid source based on differential flatnesscontrol. IEEE Trans Veh Technol t. 2012; 59(6): 2700–2710.

Paladini V, Donateo T, de Risi A, Laforgia D. Control strategy optimization of a fuel-cell electric vehicle.” J Fuel Cell Sci Technol. 2008; 5 (1): pp 12–19.

Dursun E, Kilic O. Comparative evaluation of different power management strategies of a stand-alone PV/Wind/PEMFC hybrid power system. J Electr Power Energy Syst. 2012; 34(1): 81–89.

Emadi A, Lee YJ, Rajashekara Kaushik. Power electronics and motor drives in electric, hybrid electric, and plug-in hybrid electric vehicles. IEEE Trans Indust Electron. 2008; 55(6):2237–2245.

Neeta K, Pritpal S. Modeling and optimization of a hybrid power system for an unmanned surface vehicle. Journal of Power Sources. 2012; 198(4): 368-377,.

Narasimha B, Vijayan S. A knowledge-based object modeling advisor for developing quality object models. Expert Systems with Applications. 2012; 39(6):2893–2906.

JIN J, CHEN X, ZHANG L. Modelling and simulation of rear wheel drive EMCVT vehicle based on ADVISOR. Journal of Shenyang University of Technology. 2012; 34(2): 660–665.

Jin K, Ruan X, Yang M, Xu M. A hybrid fuel cell power system. IEEE Trans Indust Electron. 2009; 56(4): 1212–1222.

Chen DY, Chen LH, Bao JC, Guo Z, Tian F. Key Techniques and Performance Analysis of Solar Electric Automobile. Advanced Materials Research. Advanced Materials Research, 2014; 846-847: 139-143.

Dai C, Chen W, Cheng Z, Li Q, Jiang Z, Jia J. Seeker optimization algorithm for global optimization: a case study on optimal modelling of proton exchange membrane fuel cell (PEMFC). J Electr Power Energy Syst. 2011; 33(1):369–376.

Li Q, Chen W, Wang Y, Liu S, Jia J. Parameter identification for PEM fuel cell mechanism model based on effective informed adaptive particle swarm optimization. IEEE Trans Indust Electron. 2011; 58(6):2410–2419.

Li Q, Chen W, Wang Y, Jia J, Han M. Nonlinear robust control of proton exchange membrane fuel cell by state feedback exact linearization. J Power Sour. 2009; 194(1): 338–348.

Jia J, Li Q, Wang Y, Cham YT, Han M. Modeling and dynamic characteristic simulation of proton exchange membrane fuel cell. IEEE Trans Energy Convers. 2009; 24(1): 283–291.

Zhao H, Burke Andrew F. Optimization of fuel cell system operating conditions for fuel cell vehicles. J Power Sour. 2009; 186(3): 408–416.

Palma L, Todorovic MH, Enjeti PN. Analysis of common-mode voltage in utility-interactive fuel cell power conditioners. IEEE Trans Indust Electron. 2009; 56(1): 20–27.

Na WK, Gou B. Feedback-linearization-based nonlinear control for PEM fuel cells. IEEE Trans Energy Convers. 2008; 23(1): 179-190.

J. H, M. P, A. H, T. V. Automatic concept model generation for optimization and robust design of passenger cars. Advances in Engineering Software. 2007; 38(5): 795-801.

H.S. P, X.P. D, A. R, B. N. Development of plastic front side panels for green cars. CIRP Journal of Manufacturing Science and Technology. 2013; 6(1): 44-52.


Article Metrics

Abstract view : 388 times
PDF - 344 times


  • There are currently no refbacks.

Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

TELKOMNIKA Telecommunication, Computing, Electronics and Control
ISSN: 1693-6930, e-ISSN: 2302-9293
Universitas Ahmad Dahlan, 4th Campus, 9th Floor, LPPI Room
Jl. Ringroad Selatan, Kragilan, Tamanan, Banguntapan, Bantul, Yogyakarta, Indonesia 55191
Phone: +62 (274) 563515, 511830, 379418, 371120 ext. 4902, Fax: +62 274 564604