| With the increasing shortage of oil resources,the aggravation of global greenhouse effect and environmental pollution,people pay more and more attention to it.It is the future trend to develop new energy vehicles with clean fuel as the power source.Extended Range Electric Vehicle(EREV)has attracted the attention of many car companies and scientific research institutions because of its simple structure,low cost and low emission.The control strategy is the key to realize the EREV multi-energy powertrain,and the emission,fuel consumption and driving comfort of the whole vehicle can be further optimized through the coordinated distribution of the output power of the power sources.In this paper,the EREV energy management and control platform is built by using multi-agent networking technology,and the consistency algorithm is studied to realize the coordinated distribution of multi-power sources.the main contents are as follows:Firstly,based on the basic parameters of a domestic EREV,according to the dynamic performance index of new energy vehicles,the basic parameters of main power components are determined,and the mathematical models of corresponding components are given Secondly,in JADE(Java Agent Development Framework),the range extender agent,the power battery agent and the driving motor agent are established,and the Multi-Agent System(MAS)framework is constructed,and the connection between MAS and Simulink model is realized by using MACSim plug-in.Finally,the consistency optimization algorithm is added to the built MAS to drive the motor agent to receive the required power of the whole vehicle.When the MAS is in a power imbalance state,the system reaches a balanced state by iterating consistency variables among agents,thus realizing the intelligent control of EREV energy management.To verify the effectiveness and optimality of the proposed strategy,the EREV vehicle control model was established in MATLAB/Simulink,and the multi-agent system with consistency algorithm was connected to the vehicle control model.finally,the model was embedded into ADVISOR to run the simulation.The results show that MAS can effectively coordinate the energy distribution among power source components after the simulation of a combined working condition;Compared with the global optimization algorithm,the State of Charge(SOC)value of power battery under the proposed strategy can well follow the SOC curve under the global optimization.Compared with the traditional electric auxiliary strategy,the efficient working points of power source components are more concentrated,and the energy consumption loss of the whole vehicle is significantly reduced.At last,this study uses D2P(from development to production)technology to verify the proposed control strategy by bench test,builds "EREV power component test platform",and downloads,compiles and generates codes of the whole vehicle model by using Moto Hawk component in Simulink.Selecting CYC-UDDS as the test condition,setting the initial state value of the power battery to verify the control effect of the consistency algorithm on the energy distribution of the whole vehicle.The bench results show that the control strategy can realize the coordinated energy distribution,the working interval efficiency of the power source components is high,and the SOC value change curve of the power battery is the same as that of the model simulation and is maintained at about 0.116.To sum up,the EREV control strategy based on multi-agent consistency algorithm proposed in this paper can realize intelligent control of vehicle energy,improve efficiency interval,reduce energy loss during driving and reduce fuel consumption. |
