[1]牛礼民,汪恒,张泉泉.基于MAS一致性算法的EREV智能控制策略[J].长安大学学报(自然科学版),2022,42(5):116-126.[doi:10.19721/j.cnki.1671-8879.2022.05.012]
　NIU Li-min,WANG Heng,ZHANG Quan quan.EREV Intelligent control strategy based on MAS consistency algorithm NIU Li-min, WANG Heng, ZHANG Quan-quan[J].Journal of Chang’an University (Natural Science Edition),2022,42(5):116-126.[doi:10.19721/j.cnki.1671-8879.2022.05.012]
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基于MAS一致性算法的EREV智能控制策略()
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长安大学学报（自然科学版）[ISSN:1006-6977/CN:61-1281/TN]

卷:
第42卷
期数:
2022年5期
页码:
116-126
栏目:
汽车机械与汽车工程
出版日期:
2022-09-30

文章信息/Info

Title:
EREV Intelligent control strategy based on MAS consistency algorithm NIU Li-min, WANG Heng, ZHANG Quan-quan
文章编号:
1671-8879(2022)05-0116-11
作者:
牛礼民; 汪恒; 张泉泉
(安徽工业大学 机械工程学院,安徽 马鞍山 243032)
Author(s):
NIU Li-min;  WANG Heng;  ZHANG Quan quan
(School of Mechanical Engineering, Anhui University of Technology, Maanshan 243032, Anhui, China)
关键词:
汽车工程;  控制策略;  一致性算法;  增程式电动汽车;  多智能体
Keywords:
automotive engineering;  control strategy;  consistency algorithm;  extended-range electric vehicle;  multi-agent system
分类号:
U469.722
DOI:
10.19721/j.cnki.1671-8879.2022.05.012
文献标志码:
A
摘要:
针对增程式电动汽车(extended range electric vehicle,EREV)在动力总成集成控制中能量分配难以最优化问题,提出一种基于多智能体(multi-agent systems,MAS)一致性算法的智能控制策略。首先,建立EREV增程器和动力电池成本函数作为一致性算法迭代目标函数,在JADE(基于Java语言Agent开发框架)平台中搭建包含增程器智能体、动力电池智能体以及驱动电机智能体等动力部件多智能体系统框架,通过各动力部件智能体间的信息接收、计算、交互等步骤完成一致性算法的迭代,实现动力源部件间功率的协调分配。然后,利用MACSimJX插件将带有一致性算法的多智能体系统连接MATLAB/Simulink整车控制模型,嵌入ADVISOR软件中运行仿真。最后,通过D2P(from development to production)技术对提出的控制策略进行台架试验,搭建EREV动力部件试验平台,利用Motohawk等组件完成整车模型的下载、编译和代码生成,选取美国城市循环工况(CYC_UDDS)作为试验工况,设置动力电池荷电状态(SOC)初始值,以验证多智能体一致性算法对整车能量分配的控制效果。结果表明:所提控制策略可以有效实现对整车能量的智能控制,减少燃油消耗。与传统规则型电辅助控制策略相比,动力源部件高效工作点区间较为集中,整车能耗损失值显著降低; 与动态规划算法全局优化控制策略相比,动力电池SOC值能很好地跟随最优SOC曲线下降; 台架试验动力电池SOC值变化曲线与模型仿真结果基本一致,并维持在0.116左右。
Abstract:
Aiming at the difficulty of optimizing energy allocation in powertrain integrated control of extended range electric vehicle(EREV), an intelligent control strategy based on multi-agent systems(MAS)consistency algorithm was proposed. First, EREV range extender and power battery cost function were established as the iterative objective function of consistency algorithm, and the multi-agent system framework of power components including range extender agent, power battery agent and motor agent was built in JADE(Java agent development framework)platform. Through the information receiving, calculation and interaction among the agents of each power component, the consistency algorithm was iterated to realize the coordinated power distribution among power components. Then, the MACSimJX plug-in was used to connect the multi-agent system with the consistency algorithm to MATLAB/Simulink vehicle control model and embed it into ADVISOR software to run the simulation. Finally, D2P(from development to production)technology was used to test the proposed control strategy on the bench, and a EREV power component test platform was built. Motohawk and other components were used to complete the download, compilation and code generation of the vehicle model. CYC_UDDS was selected as the test condition. The initial value of power battery state of charge(SOC)was set to verify the control effect of multi-agent consistency algorithm on vehicle energy distribution. The results show that the proposed control strategy can effectively realize the intelligent control of vehicle energy and reduce fuel consumption. Compared with the conventional regular electric auxiliary strategy, the efficient working point interval of power source components is more concentrated, and the energy consumption loss of the vehicle is significantly reduced. Compared with the global optimal control strategy based on dynamic programming algorithm, the SOC value of power battery can follow the optimal SOC curve well. The SOC value variation curve of the power battery in the bench test is basically consistent with the simulation results and remains at about 0.116.1 tab, 20 figs, 26 refs.

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备注/Memo

备注/Memo:
基金项目:教育部产学合作协同育人项目(202102095077); 先进数控和伺服驱动技术安徽省高校重点实验室开放基金项目 (XJSK202104); 电气传动与控制安徽省重点实验室开放基金项目(DQKJ202204)
作者简介:牛礼民(1976-),男,安徽肥东县人,副教授,工学博士,E-mail:niulimin@ahut.edu.cn。
更新日期/Last Update: 2022-09-30