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Research on PHEV Model Predictive Control Strategy Based on Real-Time Traffic Information
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Bingzhan Zhang1, 2, Hao Zhu1, Gufeng Kang1, Kaifang Li3, Maofei Zhu3
Automobile Technology | 2023, (9) : 1 - 8
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Automobile Technology | 2023, (9): 1-8
Research on PHEV Model Predictive Control Strategy Based on Real-Time Traffic Information
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Bingzhan Zhang1, 2, Hao Zhu1, Gufeng Kang1, Kaifang Li3, Maofei Zhu3
Affiliations
  • 1 Hefei University of Technology, Hefei 230009
  • 2 National and Local Joint Engineering Research Center for Automotive Technology and Equipment, Hefei 230009
  • 3 Hefei University, Hefei 230601
Published: 2023-09-24 doi: 10.19620/j.cnki.1000-3703.20220908
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In order to improve the fuel economy of Plug-in Hybrid Electric Vehicle (PHEV), this paper proposed the vehicle speed prediction method based on real-time traffic information. The energy management strategy was established to obtain the optimal fuel economy based on Model Prediction Control (MPC), the real-time optimal torque distribution was optimized with the help of dynamic programming algorithm. Simulation verification was conducted on MATLAB/Simulink platforms which showed that the accuracy was improved by 13.5% compared with traditional vehicle speed prediction methods in real-time road conditions. Compared with the MPC strategy based on historical vehicle speed, the fuel economy of MPC strategy based on real-time traffic information is improved by 9.5%.

Plug-in Hybrid Electric Vehicle (PHEV)  /  Real-time traffic information  /  Vehicle speed prediction  /  Energy management strategy  /  Model Predictive Control (MPC)
Bingzhan Zhang, Hao Zhu, Gufeng Kang, Kaifang Li, Maofei Zhu. Research on PHEV Model Predictive Control Strategy Based on Real-Time Traffic Information[J]. Automobile Technology, 2023 , (9) : 1 -8 . DOI: 10.19620/j.cnki.1000-3703.20220908
Year 2023 volume Issue 9
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doi: 10.19620/j.cnki.1000-3703.20220908
  • Online Date:2025-12-07
  • Published:2023-09-24
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  • Revised:2022-11-11
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    1 Hefei University of Technology, Hefei 230009
    2 National and Local Joint Engineering Research Center for Automotive Technology and Equipment, Hefei 230009
    3 Hefei University, Hefei 230601
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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