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Open Access

Research on the energy control optimized strategy of electric tractor composite power supply based on improved genetic algorithm

Qiang YU1( )Xueyan LI1Xinjia PAN1Xionglin HE1Wentao FAN2Fang WANG2Yu WANG2
College of Information and Electrical Engineering,China Agricultural University,Beijing 100083,China
State Grid Heilongjiang Electric Power Co.,Ltd.,Harbin 150000,China
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Abstract

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.

CLC number: S219.4 Document code: A Article ID: 2096-7217(2023)03-0014-10

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Journal of Intelligent Agricultural Mechanization
Pages 14-23

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Cite this article:
YU Q, LI X, PAN X, et al. Research on the energy control optimized strategy of electric tractor composite power supply based on improved genetic algorithm. Journal of Intelligent Agricultural Mechanization, 2023, 4(3): 14-23. https://doi.org/10.12398/j.issn.2096-7217.2023.03.002

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Received: 03 January 2023
Revised: 23 May 2023
Published: 15 August 2023
© Journal of Intelligent Agricultural Mechanization (2023)

This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)