融合工况预测的混合动力拖拉机自适应能量管理策略

朱镇; 曾令新; 林勇刚; 陈龙; 邹荣; 蔡英凤

doi:10.7652/xjtuxb202312020

您当前的位置：

首页 >

文章列表页 >

融合工况预测的混合动力拖拉机自适应能量管理策略

—————————————————————— | 更新时间：2025-07-09

- 融合工况预测的混合动力拖拉机自适应能量管理策略
- Adaptive Energy Management Strategy for Hybrid Tractors Based on Condition Prediction
- 西安交通大学学报 2023年57卷第12期页码：201-210
- 作者机构：
  
  1. 江苏大学汽车工程研究院,江苏,镇江,212013
  2. 浙江大学流体动力与机电系统国家重点实验室,杭州,310027
  3. 江苏大学机械工程学院,江苏,镇江,212013
- 作者简介：
  
  : 2023-02-25。作者简介: 朱镇(1985—),男,副教授
  蔡英凤(通信作者),女,教授,博士生导师。基金项目: 流体动力与机电系统国家重点实验室开放基金资助项目(GZKF-202214)
- 基金信息：
  
  : 2023-02-25。作者简介: 朱镇(1985—),男,副教授;蔡英凤(通信作者),女,教授,博士生导师。基金项目: 流体动力与机电系统国家重点实验室开放基金资助项目(GZKF-202214);中国博士后科学基金资助项目(2023M731370);国家自然科学基金资助项目(52272435)。
- DOI：10.7652/xjtuxb202312020
  中图分类号： U463.2
- 网络首发：2023-12-10，
  
  纸质出版：2023
- 稿件说明：
移动端阅览
朱镇, 曾令新, 林勇刚, 等. 融合工况预测的混合动力拖拉机自适应能量管理策略[J]. 西安交通大学学报, 2023,57(12):201-210.

ZHU Zhen, ZENG Lingxin, LIN Yonggang, et al. Adaptive Energy Management Strategy for Hybrid Tractors Based on Condition Prediction[J]. 2023, 57(12): 201-210.
朱镇, 曾令新, 林勇刚, 等. 融合工况预测的混合动力拖拉机自适应能量管理策略[J]. 西安交通大学学报, 2023,57(12):201-210. DOI： 10.7652/xjtuxb202312020.

ZHU Zhen, ZENG Lingxin, LIN Yonggang, et al. Adaptive Energy Management Strategy for Hybrid Tractors Based on Condition Prediction[J]. 2023, 57(12): 201-210. DOI： 10.7652/xjtuxb202312020.

摘要

针对传统等效燃油消耗最小策略(ECMS)下等效因子取值固定和工况适应性差的问题

提出了一种融合拖拉机工况预测的自适应等效燃油消耗最小策略(PA-ECMS)。以搭载混合动力液压机械无级变速动力总成的大马力拖拉机为研究对象

将ECMS策略应用于混合动力拖拉机的动力分配。首先

基于径向基(RBF)神经网络

建立了拖拉机工况预测模型

通过历史工况预测未来一段时间的工况信息; 接着

结合电池荷电状态(SOC)反馈和预测的工况信息

对等效因子进行自适应调整; 最后

在PA-ECMS策略框架下

对混合动力拖拉机的功率进行优化分配。仿真结果表明:与固定等效因子的ECMS策略和仅基于SOC反馈的自适应等效燃油消耗最小策略(A-ECMS)相比

采用所提策略时拖拉机在犁耕工况下的油耗分别降低了6.30%和2.55%

且具有更好的电量维持性能。

Abstract

For the problems such as fixed value of equivalent factor and poor adaptability to working conditions in the traditional equivalent consumption minimization strategy(ECMS)

a predictive adaptive equivalent consumption minimization strategy(PA-ECMS)integrating tractor working condition prediction was proposed. In the study

the ECMS was applied to the power distribution of a high-horsepower tractor equipped with a hybrid hydro-mechanical continuously variable transmission powertrain. Firstly

based on the radial basis function(RBF)neural network

a tractor working condition prediction model was established to predict the working condition for a period of time in the future based on the historical working condition. Then

the equivalent factor was adjusted adaptively based on the battery state of charge(SOC)feedback and the predicted working condition. Finally

the power distribution of the hybrid tractor was optimized under the PA-ECMS framework. The results show that

compared with the ECMS with fixed equivalent factor and the adaptive equivalent consumption minimization strategy(A-ECMS)based on SOC feedback only

the fuel consumption of the tractor under ploughing condition is reduced by 6.30% and 2.55%

respectively

and that the tractor performed better in power maintenance.

关键词

Keywords

references

刘孟楠, 雷生辉, 赵静慧, 等. 电动拖拉机发展历程与研究现状综述 [J]. 农业机械学报, 2022, 53(S1): 348-364.

LIU Mengnan, LEI Shenghui, ZHAO Jinghui, et al. Review of development process and research status of electric tractors [J]. Transactions of the Chinese Society for Agricultural Machinery, 2022, 53(S1): 348-364.

MALIK A, KOHLI S. Electric tractors: Survey of challenges and opportunities in India [J]. Materials Today: Proceedings, 2020, 28, Part 4: 2318-2324.

SCOLARO E, ALBERTI L, BARATER D. Electric drives for hybrid electric agricultural tractors [C]//2021 IEEE Workshop on Electrical Machines Design, Control and Diagnosis(WEMDCD). Piscataway, NJ, USA: IEEE, 2021: 331-336.

MOCERA F, MARTINI V. Numerical performance investigation of a hybrid eCVT specialized agricultural tractor [J]. Applied Sciences, 2022, 12(5): 2438.

ROSSI C, PONTARA D, FALCOMER C, et al. A hybrid-electric driveline for agricultural tractors based on an e-CVT power-split transmission [J]. Energies, 2021, 14(21): 6912.

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.

MOCERA F, SOMÀ A. Analysis of a parallel hybrid electric tractor for agricultural applications [J]. Energies, 2020, 13(12): 3055.

JIA Chao, QIAO Wei, QU Liyan. Numerical methods for optimal control of hybrid electric agricultural tractors [C]//2019 IEEE Transportation Electrification Conference and Expo(ITEC). Piscataway, NJ, USA: IEEE, 2019: 1-6.

施德华, 容香伟, 汪少华, 等. 基于功率比的混合动力汽车模糊自适应等效燃油消耗最小策略研究 [J]. 西安交通大学学报, 2022, 56(1): 12-21.

SHI Dehua, RONG Xiangwei, WANG Shaohua, et al. Fuzzy adaptive equivalent consumption minimization strategy for hybrid electric vehicle based on power ratio [J]. Journal of Xi'an Jiaotong University, 2022, 56(1): 12-21.

SAITEJA P, ASHOK B. Critical review on structural architecture, energy control strategies and development process towards optimal energy management in hybrid vehicles [J]. Renewable and Sustainable Energy Reviews, 2022, 157: 112038.

TEBALDI D, ZANASI R. Modeling control and simulation of a parallel hybrid agricultural tractor [C]//2021 29th Mediterranean Conference on Control and Automation(MED). Piscataway, NJ, USA: IEEE, 2021: 317-323.

徐立友, 刘恩泽, 刘孟楠, 等. 燃料电池/蓄电池混合动力电动拖拉机能量管理策略 [J]. 河南科技大学学报(自然科学版), 2019, 40(2): 80-86.

XU Liyou, LIU Enze, LIU Mengnan, et al. Energy management strategy of fuel cell and storage battery hybrid electric tractor [J]. Journal of Henan University of Science and Technology(Natural Science), 2019, 40(2): 80-86.

JIA Chao, QIAO Wei, QU Liyan. Modeling and control of hybrid electric vehicles: a case study for agricultural tractors [C]//2018 IEEE Vehicle Power and Propulsion Conference(VPPC). Piscataway, NJ, USA: IEEE, 2018: 1-6.

KONG Yan, XU Nan, LIU Qiao, et al. A data-driven energy management method for parallel PHEVs based on action dependent heuristic dynamic programming(ADHDP)model [J]. Energy, 2023, 265: 126306.

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.

李银平, 刘立, 靳添絮, 等. 基于动态规划的电动拖拉机动力电源能量控制策略研究 [J]. 农业机械学报, 2020, 51(4): 403-410.

LI Yinping, LIU Li, JIN Tianxu, et al. Energy control strategy of electric tractor power supply based on dynamic programming [J]. Transactions of the Chinese Society for Agricultural Machinery, 2020, 51(4): 403-410.

韩少剑, 张风奇, 任延飞, 等. 基于深度学习的混合动力汽车预测能量管理 [J]. 中国公路学报, 2020, 33(8): 1-9.

HAN Shaojian, ZHANG Fengqi, REN Yanfei, et al. Predictive energy management strategies in hybrid electric vehicles using hybrid deep learning networks [J]. China Journal of Highway and Transport, 2020, 33(8): 1-9.

WANG Shuhan, HUANG Xingshuai, LÓPEZ J M, et al. Fuzzy adaptive-equivalent consumption minimization strategy for a parallel hybrid electric vehicle [J]. IEEE Access, 2019, 7: 133290-133303.

REZAEI A, BURL J B, ZHOU Bin. Estimation of the ECMS equivalent factor bounds for hybrid electric vehicles [J]. IEEE Transactions on Control Systems Technology, 2018, 26(6): 2198-2205.

TIAN Xiang, CAI Yingfeng, SUN Xiaodong, et al. An adaptive ECMS with driving style recognition for energy optimization of parallel hybrid electric buses [J]. Energy, 2019, 189: 116151.

周维, 刘鸿远, 徐彪, 等. 功率分流式混合动力矿用自卸车预测性等效燃油消耗最小控制策略研究 [J]. 机械工程学报, 2021, 57(2): 200-209.

ZHOU Wei, LIU Hongyuan, XU Biao, et al. Predictive equivalent consumption minimization strategy for power split hybrid electric mining truck [J]. Journal of Mechanical Engineering, 2021, 57(2): 200-209.

江苏大学. 一种混合动力多模式切换的无级变速传动系统: CN201910041132.1 [P]. 2021-07-20.

MOCERA F. A model-based design approach for a parallel hybrid electric tractor energy management strategy using hardware in the loop technique [J]. Vehicles, 2020, 3(1): 1-19.

TRITSCHLER P J, BACHA S, RULLIÈRE E, et al. Energy management strategies for an embedded fuel cell system on agricultural vehicles [C]//The XIX International Conference on Electrical Machines-ICEM 2010. Piscataway, NJ, USA: IEEE, 2010: 1-6.

LIU Hui, LI Xunming, WANG Weida, et al. Markov velocity predictor and radial basis function neural network-based real-time energy management strategy for plug-in hybrid electric vehicles [J]. Energy, 2018, 152: 427-444.

浏览量

下载量

CSCD

文章被引用时，请邮件提醒。

提交

工具集

关联资源

相变冷却换热器动态热响应降阶预测方法研究

采用动力学模态分解和长短期记忆网络的压缩空气储气装置流场动态预测方法

新能源汽车热管理系统协同优化策略

高超声速飞行器干扰补偿与解耦最优反步控制策略

电动车辆间接热系统快速除湿响应迟滞机理及优化控制策略