Energy Control Strategy of Electric Tractor Power Supply Based on Dynamic Programming

被引:0
|
作者
Li Y. [1 ]
Liu L. [1 ]
Jin T. [2 ]
Yuan K. [1 ,3 ]
Chen Y. [1 ]
机构
[1] School of Mechanical Engineering, University of Science and Technology Beijing, Beijing
[2] Beijing Construction Engineering Research Institute Co., Ltd., Beijing
[3] Beijing Anchises Technologies Co., Ltd., Beijing
关键词
Dynamic programming; Energy control strategy; Power supply; Pure electric tractor; Rule control;
D O I
10.6041/j.issn.1000-1298.2020.04.047
中图分类号
学科分类号
摘要
Aiming to solve the problems of low energy utilization and insufficient cruising range of pure electric tractor, a power supply system of pure electric tractor based on super capacitor and battery composite was proposed. By analyzing the working condition characteristics and power demand of pure electric tractor, the topological structure selection and parameter matching of power supply system were carried out. According to the topology of the composite power system and the operating principle of the battery pack, super capacitor pack and DC/DC, a suitable modeling method was selected to model the battery pack, super capacitor pack and DC/DC by using Simulink, taking the lowest energy consumption of power supply as the optimization objective, the energy control strategy of power supply system of pure electric tractor was optimized by using dynamic programming, and the results of dynamic programming were obtained, and the characteristics of working conditions were analyzed, the energy control strategy of power supply based on rules was summarized, the control strategy was simulated by using Matlab/Simulink model. The results showed that the energy consumption of the control strategy based on dynamic programming was 18% lower than that of the rule-based control strategy, which proved the effectiveness and reliability of the energy control strategy based on dynamic programming in energy saving and consumption reduction. © 2020, Chinese Society of Agricultural Machinery. All right reserved.
引用
收藏
页码:403 / 410
页数:7
相关论文
共 26 条
  • [1] Shen W., Zhou J., Ji C., Et al., Research progress of electric tractors in China, Journal of Chinese Agricultural Mechanization, 38, 10, pp. 102-106, (2017)
  • [2] Xu L., Zhao Y., Zhao X., Et al., Design and test of multifunctional test system for electric tractor, Transactions of the Chinese Society for Agricultural Machinery, 51, 1, pp. 355-363, (2020)
  • [3] Xia C., Sun Y., Zhou W., Simulation study on energy management of dual power electric tractor, Journal of Agricultural Mechanization Research, 41, 1, pp. 234-239, (2019)
  • [4] Chen L., Zhan Q., Wang W., Et al., Design and exeperiment of electric drive system for pure electric tractor, Transactions of the Chinese Society for Agricultural Machinery, 49, 8, pp. 387-394, (2018)
  • [5] Du C., Design of electric micro-farming machines for greenhouses, (2016)
  • [6] Zhang B., Wu D., Dou C., Et al., Energy matching and multiobjective fuzzy control strategy study on battery/ultracapacitor composite energy storage of EV, Automobile Technology, 5, 12, pp. 54-58, (2014)
  • [7] Xiao R., Li T., Zou G., Et al., Energy management strategy for series-parallel hybrid electric vehicle based on stochastic dynamic programming, Automotive Engineering, 35, 4, pp. 317-321, (2013)
  • [8] Wang B., Xu J., Cao B., Et al., Optimization of energy management system with simulated annealing approach for hybrid power source in electric vehicles, Journal of Xi'an Jiaotong University, 49, 8, pp. 90-96, (2015)
  • [9] Xie B., Zhang C., Chen S., Et al., Study on driving performance of electric tractor with double wheel dive, Transactions of the Chinese Society for Agricultural Machinery, 46, 6, pp. 8-13, (2015)
  • [10] Qin D., Kui H., Multi-objective real-time opti- mal control of fuel consumption and emission for heavy hybrid electric vehicles, Mechanics, 48, 6, pp. 83-89, (2012)