基于NSGA—Ⅱ双源型电动拖拉机能量管理优化策略

doi:10.13733/j.jcam.issn.2095-5553.2025.04.038

摘要/Abstract

摘要： 针对电动拖拉机能量管理过程中，传统模糊控制主观性强，过于依赖个人经验，锂电池和超级电容难以达到最优功率分配的问题，提出一种以等效燃油经济性和蓄电池SOC单位里程保持率为优化目标的方法。结合拖拉机实际工况构建双源系统结构以及动力学模型，采用NSGA—Ⅱ算法对模糊控制器参数以及隶属度函数优化，在Advisor搭建电动拖拉机整机模型，通过MATLAB/Simulink与Advisor进行联合仿真。结果表明，与传统双源模糊控制相比，NSGA—Ⅱ优化后的能量管理系统能很好地满足电机功率需求，实现锂电池和超级电容的合理功率分配。整车能耗降低，锂电池工作时的峰值功率、平均功率分别下降68.98%、18.36%，等效燃油经济性提高17.39%，延长锂电池寿命，同时延长电动拖拉机作业时间。

关键词: 电动拖拉机, 能量管理, 等效燃油经济性, 双源系统

Abstract: In the process of electric tractor energy management, the traditional fuzzy control is highly subjective, too dependent on personal experience, and it is difficult to achieve the optimal power distribution of lithium battery and super capacitor, a method based on equivalent fuel economy and battery SOC unit mileage retention is proposed. Firstly, the dual‑source system structure and dynamics model are constructed by combining the actual working conditions of the tractor, the NSGA—Ⅱ algorithm is used to optimize the fuzzy controller parameters and the affiliation function, the electric tractor model is built in Advisor, and the joint simulation is carried out by MATLAB/Simulink and Advisor. The results show that compared with the traditional dual‑source fuzzy control, the optimized energy management system of NSGA—Ⅱ can well meet the motor power demand and realize the reasonable power distribution of Li‑ion battery and super capacitor. At the same time, the energy consumption of the whole vehicle is reduced, the peak power and average power of the lithium battery operation are decreased by 68.98% and 18.36%, respectively, the equivalent fuel economy is improved by 17.39%, and the life of the lithium battery is extended, while the operating time of the electric tractor is prolonged.

Key words: , electric tractors, energy , management, equivalent fuel economy, dual?source system

中图分类号:

徐志成, 王红君, 赵辉, 岳有军. 基于NSGA—Ⅱ双源型电动拖拉机能量管理优化策略[J]. 中国农机化学报, 2025, 46(4): 271-277.

Xu Zhicheng, Wang Hongjun, Zhao Hui, Yue Youjun. Energy management optimization strategy of dual‑energy electric tractor based on NSGA—Ⅱ#br#[J]. Journal of Chinese Agricultural Mechanization, 2025, 46(4): 271-277.

参考文献

[ 1 ] 王元杰, 刘永成, 杨福增, 等. 温室微型遥控电动拖拉机的研制与试验[J]. 农业工程学报, 2012, 28(22): 23-29.
Wang Yuanjie, Liu Yongcheng, Yang Fuzeng, et al. Development and test of tiny remotely controlled electric tractor for greenhouses [J]. Transactions of the Chinese Society of Agricultural Engineering, 2012, 28 (22): 23-29.
[ 2 ] 胥文翔, 徐立友, 刘孟楠, 等. 复合电源式电动拖拉机能量管理系统策略研究[J]. 中国农机化学报, 2023, 44(6): 135-142.
Xu Wenxiang, Xu Liyou, Liu Mengnan, et al. Research on energy management system strategy of multi‑power hybrid electric tractor [J]. Journal of Chinese Agricultural Mechanization, 2023, 44 (6): 135-142.
[ 3 ] 管春松, 胡桧, 陈永生, 等. 温室用小型电动拖拉机研究[J]. 中国农机化学报, 2015, 36(2): 67-69, 76.
Guan Chunsong, Hu Hui, Chen Yongsheng, et al. Study on small electric tractors for greenhouse [J]. Journal of Chinese Agricultural Mechanization, 2015, 36(2): 67-69, 76.
[ 4 ] Mousazadeh H, Keyhani A, Javadi A, et al. Optimal power and energy modeling and range evaluation of a solar assist plug‑in hybrid electric tractor (SAPHT) [J]. Transactions of the ASABE, 2010, 53(4): 1025-1035.
[ 5 ] Wang S, Xu X,Zhan X, et al. Co‑optimization energy management strategy for a novel dual‑motor drive system of electric tractor considering efficiency and stability [J]. Energy, 2023, 281: 128074.
[ 6 ] Liu B, Hu Y, Lyu X, et al. AMB‑supported flywheel battery for electric tractors: Structure design and driving method [C]. Journal of Physics: Conference Series IOP Publishing, 2023, 2477(1): 012024.
[ 7 ] 谢斌, 张超, 陈硕, 等. 双轮驱动电动拖拉机传动性能研究[J]. 农业机械学报, 2015, 46(6): 8-13.
Xie Bin, Zhang Chao, Chen Shuo, et al. Study on the Transmission performance of two‑wheel drive electric tractor [J]. Transactions of the Chinese Society for Agricultural Machinery, 2015, 46(6): 8-13.
[ 8 ] 杨晋强, 陈凤, 郑恩来, 等. 基于磁-热双向耦合的电动拖拉机轮边电机电磁性能分析与结构优化[J]. 农业工程学报, 2023, 39(6): 73-82.
Yang Jinqiang, Chen Feng, Zheng Enlai, et al. Electromagnetic performance analysis and structural optimization of wheel‑side motors for electric tractors based on magneto‑thermal bidirectional coupling [J]. Transactions of the Chinese Society of Agricultural Engineering, 2023, 39 (6): 73-82.
[ 9 ] 汪珍珍, 周俊, 王旭. 增程式电动拖拉机旋耕机组能量管理模型研究[J]. 农业机械学报, 2023, 54(4): 428-438.
Wang Zhenzhen, Zhou Jun, Wang Xu. Research on energy management model for extended‑range electric rotary tillage tractor [J]. Transactions of the Chinese Society for Agricultural Machinery, 2023, 54(4): 428-438.
[10] 夏长高, 杨彦祥, 孙闫, 等. 复合电源电动拖拉机能量管理策略研究[J]. 中国农机化学报, 2022, 43(11): 126-132.
Xia Changgao, Yang Yanxiang, Sun Yan, et al. Research on energy management strategy of hybrid power electric tractor [J]. Journal of Chinese Agricultural Mechanization, 2022, 43(11): 126-132.
[11] 李同辉, 谢斌, 王东青, 等. 双电机驱动电动拖拉机实时自适应能量管理策略研究[J]. 农业机械学报, 2020, 51(S2): 530-543.
Li Tonghui, Xie Bin, Wang Dongqing, et al. Real‑time adaptive energy management strategy for dual‑motor‑driven electric tractors [J]. Transactions of the Chinese Society for Agricultural Machinery, 2020, 51(S2): 530-543.
[12] 窦海石, 张幽彤, 艾强, 等. 面向耦合分流动力构型的拖拉机犁耕工况控制策略[J]. 农业工程学报, 2022, 38(23): 41-49.
Dou Haishi, Zhang Youtong, Ai Qiang, et al. Control strategy for hybrid tractor plow conditions oriented to coupled‑split dynamic configuration [J]. Transactions of the Chinese Society of Agricultural Engineering, 2022, 38(23): 41-49.
[13] 刘静, 夏长高, 孙闫. 双能源电动拖拉机能量管理策略[J]. 中国农机化学报, 2021, 42(7): 115-121.
Liu Jing, Xia Changgao, Sun Yan. Energy management strategy of double energy electric tractors [J]. Journal of Chinese Agricultural Mechanization, 2021, 42 (7): 115-121.
[14] 梁延会, 夏长高. 设施大棚履带式电动拖拉机动力学性能分析[J]. 农机化研究, 2015, 37(1): 55-58.
[15] 张树彬. 插电式混合动力汽车自适应等效油耗能量管理策略研究[D]. 长春: 吉林大学, 2017.

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