Matching and Optimization for Powertrain System of Parallel Hybrid Electric Vehicle

Abstract:

The parameters matching of the hybrid powertrain system of the hybrid electric vehicle has a directly impact on the performance of the vehicle dynamic and the fuel economy. The preliminary match of the powertrain system base on analysis of Driving Cycle is done, then the software of AVL-Cruise and Matlab are integrated with Isight to optimize parameters of match, by using the Multi-Island GA and NLPQL to establish the combinatorial optimization algorithm. The results show that the fuel economy have been improved by 10.92% without sacrificing the dynamic performance and under the premise of ensuring the limits of the state of charge of battery.

• Periodical: Applied Mechanics and Materials (Volumes 341-342)
• Pages: 423-431
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.341-342.423
• Online since: July 2013
• Authors: Jian Ping Gao, Yue Hui Wei, Zhen Nan Liu, Hong Bing Qiao
• Keywords: Combinatorial Optimization Algorithm, Driving Cycle Analysis, Hybrid Electric Vehicle, Powertrain System Matching

References

[1] Ji Xinjie, Li Shengjin, Fang Zongde. A research on the parameters matching for the powertrain of single-axle parallel hev. Automotive Engineering, 2011, 33(3): 188-193.

DOI: 10.1109/icsps.2010.5555287

[2] Peng Tao, Chen Quanshi, Tian Guangyu, Li Haichen. Parameter matching of parallel hybrid electric vehicle powertrain. Chinese Journal of Mechanical Engineering, 2003, 39(2): 69-73.

DOI: 10.3901/jme.2003.02.069

[3] Zhou Yongqin, Han Chunli, Wang Xudong, Yu Tengwei. Research on power train source matching for single-axle phev. Vehicle Power and Propulsion Conference (VPPC). United States: Inst. of Elec. and Elec. Eng. Computer Society, 2008(9).

DOI: 10.1109/vppc.2008.4677452

[4] Li Zhongli, Wang Ximing, Gao Jianping, Guo Zhijun, Zhu Guanghai. Matching method based on driving cycle of powertrain for hybrid electric vehicle. Journal of Henan University of Science & Technology(Natural Science), 2010, 31(5): 24-29.

[5] Zeng Xiaohua, Wang Qingnian, Wang Weihua, Chu Liang. Orthogonal optimization design for hybrid electric vehicle. Transactions of the Chinese Society for Agricultural Machinery, 2006, 37(5): 26-28.

[6] Zhao Han, Dai Kangwei, Zhang Bingli, Jiang Hao. Study on power system parameter optimization for sheb based on orthogonal experiment method. Journal of Hefei University of Technology(Natural Science), 2008, 31(3): 323-326.

[7] Wang B H, Jin Y, Luo Y G. Parametric optimization of EQ6110HEV hybrid electric bus based on orthogonal experiment design. International Journal of Automotive Technology, 2010, 11(1): 119−125.

DOI: 10.1007/s12239-010-0016-2

[8] Wu Yanping, Liu Xudong, Duan Jianmin. Optimum design of hybrid electric vehicle by hybrid genetic algorithm. Machinery Design & Manufacture, 2008(9): 22-24.

DOI: 10.1109/ical.2008.4636199

[9] Zhu Zhengli, Zhang Jianwu, Yin Chengliang. Optimization approach for hybrid electric vehicle powertrain design. Chinese Journal of Mechanical Engineering(English Language Edition). 2005(18): 30-36.

DOI: 10.3901/cjme.2005.01.030

[10] Gao W, Porandla S K. Design optimization of a parallel hybrid electric powertrain. vppc. piscataway, NJ, USA: IEEE, 2006(9).

[11] Chen Yong, Chen Xiaokai, Lin Yi. Parameters matching and optimization of parallel hybrid electric vehicle powertrain. High Technology Letters (English Language Edition), 2010, 16(1): 34-38.

[12] Standardization Administration of the People's Republic of China. Test methods for energy consumption of heavy-duty hybrid electric vehicles, GB/T19754-(2005).

[13] Zeng Xiaohua. Study on mechanism of energy saving and method of parameter design for hybrid electric bus. Ph D Thesis. Jilin: University of Jin Lin, (2006).