Control strategy optimization using dynamic programming method for synergic electric system on hybrid electric vehicle
Yuan-Bin Yu, Qing-Nian Wang, Hai-Tao Min, Peng-Yu Wang, Chun-Guang Hao
DOI: 10.4236/ns.2009.13030   PDF    HTML     6,978 Downloads   13,804 Views   Citations


Dynamic Programming (DP) algorithm is used to find the optimal trajectories under Beijing cycle for the power management of synergic electric system (SES) which is composed of battery and super capacitor. Feasible rules are derived from analyzing the optimal trajectories, and it has the highest contribution to Hybrid Electric Vehicle (HEV). The methods of how to get the best performance is also educed. Using the new Rule-based power management strat-egy adopted from the optimal results, it is easy to demonstrate the effectiveness of the new strategy in further improvement of the fuel economy by the synergic hybrid system.

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Yu, Y. , Wang, Q. , Min, H. , Wang, P. and Hao, C. (2009) Control strategy optimization using dynamic programming method for synergic electric system on hybrid electric vehicle. Natural Science, 1, 222-228. doi: 10.4236/ns.2009.13030.

Conflicts of Interest

The authors declare no conflicts of interest.


[1] T. Markel, M. Zolot, K. B. Wipke, and A. A. Pesaran, (2003) Energy storage system requirement for hybrid fuel cell vehicles. Advanced Automotive Battery Con-ference, Nice, France, June. 10-13.
[2] A. C. Baisden and A. Emadi, (2004) ADVISOR-based model of a battery and an ultra capacitor energy source for hybrid vehicles. IEEE Transactions on Vehicular Technology, 53(1).
[3] Y. B. Yu and Q. N. Wang, (2005) The redevelopment of synergy electric power HEV simulation software based on advisor. Jilin Daxue Xuebao (Gongxueban) /Journal of Jilin University (Engineering and Technology Edition), 35(4), 353-357.
[4] Y. B. Yu and W. H. Wang, (2007) The research on fuzzy logic control strategy of synergic electric system of hy-brid electric vehicle. SAE Internatioal, 07APAC-185.
[5] D. P. Bertsekas, (1995) Dynamic programming and op-timal control, Athena Scientific.
[6] J. M. Kang, I. Kolmanovsky, and J. W. Grizzle, (1999) Approximate dynamic programming solutions for lean burn engine aftertreatment. proceedings of the IEEE conference on decision and control, 2, Piscataway, NJ, 1703-1708.
[7] C. Lin, J. Kang, J. W. Grizzle, and H. Peng, (2001) En-ergy management strategy for a parallel hybrid electric truck. Proceedings of the 2001 American Control Con-ference, Arlington, VA, 2878-2883.
[8] M. P. O’Keefe and T. Markel, (2006) Dynamic pro-gramming applied to investigate energy management strategies for a plug-in HEV. The 22nd International Bat-tery, Hybrid and Fuel Cell Electric Vehicle Symposium and Exhibition (EVS-22), Yokohama, Japan, October 23–28.
[9] L. V. P′erez and G. R. Bossio, (2006) Optimization of power management in an hybrid electric vehicle using dynamic programming. Mathematics and Computers in Simulation, 73, 244–254.

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