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Research on the energy control optimized strategy of electric tractor composite power supply based on improved genetic algorithm
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Qiang YU1, Xueyan LI1, Xinjia PAN1, Xionglin HE1, Wentao FAN2, Fang WANG2, Yu WANG2
Journal of Intelligent Agricultural Mechanization | 2023, 4(3) : 14 - 23
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Journal of Intelligent Agricultural Mechanization | 2023, 4(3): 14-23
Research on the energy control optimized strategy of electric tractor composite power supply based on improved genetic algorithm
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Qiang YU1, Xueyan LI1, Xinjia PAN1, Xionglin HE1, Wentao FAN2, Fang WANG2, Yu WANG2
Affiliations
  • 1.College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, China
  • 2.State Grid Heilongjiang Electric Power Co., Ltd., Harbin 150000, China
Published: 2023-08-15 doi: 10.12398/j.issn.2096-7217.2023.03.002
Outline
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Aiming to solve the problems of insufficient capacity and high consumption of electric tractors, an optimal control strategy of composite power supply system based on battery plus super capacitor was proposed. By analyzing the topological structure of the electric tractor complex power system and the resistance characteristics of the electric tractor under various operating conditions, a complex power system structure scheme suitable for electric tractor was selected and a test condition suitable for electric tractor was designed. At the same time, the power demand of the electric tractor drive motor under the test condition was determined. According to the charging and discharging characteristics of the main power components of the electric tractor composite power system, the relevant mathematical model was established, and the simulation model of the electric tractor complex power system was built in Simulink. In addition, according to the load demand of the electric tractor under the test condition and the discharge characteristics of the complex power supply system, a fuzzy control strategy of the complex power supply system was formulated. Taking the minimum current at the maximum power discharge of the battery as the optimization goal, the improved genetic algorithm was used to optimize the fuzzy control parameters. The models of the composite power supply system under different conditions such as single power supply and logic threshold control strategy was built for comparative simulation. The results showed that: compared with the single power supply, logic threshold control strategy and fuzzy control strategy, the peak current battery with the improved genetic algorithm can be reduced by 63%, 62.9% and 43.9% respectively, the average current was respectively reduced 24.8%, 3.2% and 8.5%. It is also shown that this strategy is beneficial to reduce the peak current battery and prolong the service life of the battery.

electric tractor  /  composite power supply  /  fuzzy control strategy  /  genetic algorithm
余强, 李雪妍, 潘信佳, 何雄林, 范文涛, 王芳, 王玉. 基于改进遗传算法的电动拖拉机复合电源优化控制策略研究. 智能化农业装备学报(中英文), 2023 , 4 (3) : 14 -23 . DOI: 10.12398/j.issn.2096-7217.2023.03.002
Qiang YU, Xueyan LI, Xinjia PAN, Xionglin HE, Wentao FAN, Fang WANG, Yu WANG. Research on the energy control optimized strategy of electric tractor composite power supply based on improved genetic algorithm[J]. Journal of Intelligent Agricultural Mechanization, 2023 , 4 (3) : 14 -23 . DOI: 10.12398/j.issn.2096-7217.2023.03.002
Year 2023 volume 4 Issue 3
33
8
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Article Info
doi: 10.12398/j.issn.2096-7217.2023.03.002
  • Receive Date:2023-01-03
  • Online Date:2026-11-05
  • Published:2023-08-15
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  • Received:2023-01-03
  • Revised:2023-05-23
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Affiliations
    1.College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, China
    2.State Grid Heilongjiang Electric Power Co., Ltd., Harbin 150000, China
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表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
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属
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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