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Parameter Matching Optimization of Power System of Pure Electric Logistics Vehicle Based on Particle Swarm Optimization
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Lei Pu1, Weiguang Zheng2
Automotive Engineer | 2023, (5) : 20 - 25
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Automotive Engineer | 2023, (5): 20-25
Parameter Matching Optimization of Power System of Pure Electric Logistics Vehicle Based on Particle Swarm Optimization
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Lei Pu1, Weiguang Zheng2
Affiliations
  • 1 Dongfeng Liuzhou Automobile Co., Ltd., Liuzhou 545004
  • 2 Guangxi University of Science and Technology, Liuzhou 545004
Published: 2023-05-15 doi: 10.20104/j.cnki.1674-6546.20230008
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To investigate the influence of transmission system speed ratio of vehicle equipped with 2-speed AMT on vehicle’s performance, this paper, taking a pure electric logistics vehicle as an research object, matched and designed the vehicle’s driving motor, battery pack and transmission system speed ratio according to the vehicle’s basic parameters. The vehicle model was established based on the AVL_CRUISE simulation platform, the rationality of matching parameters was verified by simulation, and Particle Swarm Optimization (PSO) algorithm was selected to improve the vehicle’s power and economy, and the speed ratio of transmission system matching two-gear AMT was optimized. The simulation results show that the 0-100 acceleration time of the pure electric logistics vehicle is shortened by 2.31 s after optimization, the energy consumption of the vehicle is reduced by 3.14% under single NEDC cycle condition, and the power performance and economy of the vehicle are obviously improved.

Pure electric logistics vehicle  /  Transmission system  /  Particle Swarm Optimization (PSO)
Lei Pu, Weiguang Zheng. Parameter Matching Optimization of Power System of Pure Electric Logistics Vehicle Based on Particle Swarm Optimization[J]. Automotive Engineer, 2023 , (5) : 20 -25 . DOI: 10.20104/j.cnki.1674-6546.20230008
Year 2023 volume Issue 5
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doi: 10.20104/j.cnki.1674-6546.20230008
  • Online Date:2025-11-25
  • Published:2023-05-15
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  • Revised:2023-02-06
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    1 Dongfeng Liuzhou Automobile Co., Ltd., Liuzhou 545004
    2 Guangxi University of Science and Technology, Liuzhou 545004
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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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