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Research on Dual-Mode Energy Management Strategy for a Series Hybrid Electric Mine Truck
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Yanyan LIANG1, Jichao LIU1, Zheng CHEN2, Hai YANG1
Chinese Journal of Automotive Engineering | 2024, 14(5) : 839 - 847
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Chinese Journal of Automotive Engineering | 2024, 14(5): 839-847
Green and Low-Carbon Technologies Section
Research on Dual-Mode Energy Management Strategy for a Series Hybrid Electric Mine Truck
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Yanyan LIANG1, Jichao LIU1, Zheng CHEN2, Hai YANG1
Affiliations
  • 1 Jiangsu Advanced Construction Machinery Innovation Center Ltd. Xuzhou 221000 China
  • 2 School of Materials and Physics China University of Mining and Technology Xuzhou 221116 China
doi: 10.3969/j.issn.2095–1469.2024.05.10
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To fully utilize the energysaving and emissionreduction performance of the oilelectric hybrid system on mine truck, a dualmode energy management strategy (EMS) is proposed for a series hybrid electric mine truck. The back propagation neural network (BPNN) was used to construct the models of "optimal fuel consumption mode of engine" and "optimal efficiency mode of range extender" in this EMS. On this basis, a dualmode EMS was designed to adjust the power output of the range extender and battery pack, realizing the realtime adjustment of the energy consumption for the vehicle under complex working conditions. Finally, the proposed EMS was verified by hardware in the loop simulation with actual working condition data. The results show that compared with the rule strategy and equivalent consumption minimization strategy, the fuel saving rate of the dualmode EMS increases by 12.74% and 7.4% respectively, further improving the fuel saving performance of the realtime strategy.

series hybrid electric  /  mine truck  /  dual-mode  /  energy management strategy  /  back propagation neural network
Yanyan LIANG, Jichao LIU, Zheng CHEN, Hai YANG. Research on Dual-Mode Energy Management Strategy for a Series Hybrid Electric Mine Truck[J]. Chinese Journal of Automotive Engineering, 2024 , 14 (5) : 839 -847 . DOI: 10.3969/j.issn.2095–1469.2024.05.10
Year 2024 volume 14 Issue 5
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doi: 10.3969/j.issn.2095–1469.2024.05.10
  • Receive Date:2023-07-12
  • Online Date:2025-07-20
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  • Received:2023-07-12
  • Revised:2023-09-04
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    1 Jiangsu Advanced Construction Machinery Innovation Center Ltd. Xuzhou 221000 China
    2 School of Materials and Physics China University of Mining and Technology Xuzhou 221116 China
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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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