|Table of Contents|

EREV Intelligent control strategy based on MAS consistency algorithm NIU Li-min, WANG Heng, ZHANG Quan-quan(PDF)

长安大学学报（自然科学版）[ISSN:1006-6977/CN:61-1281/TN]

Issue:
2022年5期
Page:
116-126
Research Field:
汽车机械与汽车工程
Publishing date:

Info

Title:
EREV Intelligent control strategy based on MAS consistency algorithm NIU Li-min, WANG Heng, ZHANG Quan-quan
Author(s):
NIU Li-min;  WANG Heng;  ZHANG Quan quan
(School of Mechanical Engineering, Anhui University of Technology, Maanshan 243032, Anhui, China)
Keywords:
automotive engineering;  control strategy;  consistency algorithm;  extended-range electric vehicle;  multi-agent system
PACS:
U469.722
DOI:
10.19721/j.cnki.1671-8879.2022.05.012
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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Last Update: 2022-09-30