Energy management strategy of plug-in hybrid electric system based on driving intention

被引：0

作者：

Qin, Da-Tong ^{[1
]}

Yang, Guan-Long ^{[1
]}

Hu, Ming-Hui ^{[1
]}

Liu, Yong-Gang ^{[1
]}

Lin, Yu-Pei ^{[1
]}

机构：

[1] State Key Laboratory of Mechanical Transmission, Chongqing University, Chongqing

来源：

Jilin Daxue Xuebao (Gongxueban)/Journal of Jilin University (Engineering and Technology Edition) | 2015年 / 45卷 / 06期

关键词：

Driving intention; Energy management strategy; Fuel consumption per hundred kilometers; Plug-in hybrid electric vehicle; Vehicle engineering;

D O I：

10.13229/j.cnki.jdxbgxb201506002

中图分类号：

学科分类号：

摘要：

In order to obtain good energy consumption economy for Plug-in Hybrid Electric Vehicle (PHEV) and reasonably distribute battery power under different driving condition, a fuzzy inference controller is used to identify the driver's intention. The working mode is partitioned according to the hybrid system dynamic coupling mode, the State of Charge (SOC) of the battery and the engine working characteristic curve. Then, instantaneous optimization method is used to distribute engine and motor torque, in which the energy consumption economy is taken as the objective function. Finally, the energy management strategy based on driving intention is proposed. A vehicle model is built on the Matlab/Simulink platform, and simulated under New European Driving Cycle (NEDC) condition. Simulation results indicate that the proposed strategy can realize the optimization control of the engine and ISG motor and keep the engine operation points within the peak efficiency region. The fuel consumption per 100 km is saved by 8.24% in comparison with the energy management strategy of the charge depleting and charge sustaining mode. In order to further verify the proposed energy management strategy, vehicle road test is conducted, and results show that the fuel consumption per 100 km is reduced by 32.93% compared with prototype gasoline vehicle. ©, 2015, Editorial Board of Jilin University. All right reserved.

引用

页码：1743 / 1750

页数：7

共 15 条

[1]

Chen Z., Ardalan V., Route preview in energy management of plug-in hybrid vehicles, IEEE Transactions on Control Systems Technology, 20, 2, pp. 546-553, (2012)

[2]

Cui N.-X., Bu G., Wu J., Et al., Real-Time optimiztion of energy management stragegy for plug-in parallel hybrid electric vehicles, Transactions of China Electrotechnical Society, 26, 11, pp. 155-160, (2011)

[3]

He Y.M., Chowdhury M., Pisu P., Et al., An energy optimization strategy for power-split drivetrain plug-in hybrid electric vehicles, Transportation Research Part C: Emerging Technologies, 22, pp. 29-41, (2012)

[4]

Khayyer P., Wollaeger J., Onori S., Et al., Analysis of impact factors plug-in hybrid electric vehicles, 2012 15th International IEEE Conference on Intelligent Transportation Systems: Alaska, pp. 1061-1066, (2012)

[5]

Geng B., Mills J.K., Sun D., Two-stage energy management control of fuel cell plug-In hybrid electric vehicles considering fuel cell longevity, IEEE Transactions on Vehicular Technology, 61, 2, pp. 498-508, (2012)

[6]

Zhang B., Zheng H.-Y., Wang C., Plug-in hybrid electric vehicle energy management strategy, Journal of Mechanical Engineering, 47, 6, pp. 113-119, (2011)

[7]

Gong Q.-M., Li Y.-Y., Peng Z.-R., Trip-based optimal power management of plug-In hybrid electric vehicle, IEEE Transactions on Vehicular Technology, 57, 6, pp. 3393-3401, (2008)

[8]

Moura S., Callaway D., Fathy H., Et al., Tradeoffs between battery energy capacity and stochastic optimal power management in plug-in hybrid electric vehicles, Journal of Power Sources, 195, 9, pp. 2979-2988, (2010)

[9]

Moura S., Fathy H., Callaway D., Et al., A stochastic optimal control approach for power management in plug-In hybrid electric vehicles, IEEE Transaction on Control Systems Technology, 19, 3, pp. 545-555, (2011)

[10]

Shams-Zahraei M., Kouzani A., Kutter S., Et al., Integrated thermal and energy management of plug-in hybrid electric vehicles, Journal of Power Sources, 216, pp. 237-248, (2012)

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