Research On Cooperative Control Of Hybrid Electric Vehicle Regenerative Brake Multi-agent System

Hybrid Electric vehicles(Hybrid Electric Vehicle,HEV)combines motor and internal combustion engine,with both traditional long travel distance car,but also the pure Electric vehicles and fuel cell vehicles the advantages of zero emissions are the main models of each big car makers and academy study,and has a wide application prospect at present.According to the HEV regenerative braking system,the intelligent control technology and regenerative braking technology are combined,and the coordinated control strategy of multi-agent regenerative braking is put forward to solve the problem of coordination and distribution of braking power.Taking a parallel hybrid electric vehicle as the research object,this paper analyzes the principle of regenerative braking,explores the braking force of HEV during braking process,and studies the control strategy of regenerative braking.According to the working principle of HEV regenerative braking system definition of regenerative braking system agent,motor agent and wheel agent,battery agent,build collaborative regenerative braking control system structure,clear the regenerative braking system and components of agent and agent flow of information between the task allocation and coordination relationship,put forward the regenerative braking of multi-agent cooperative control strategy.As the total coordinator of the regenerative braking system,the regenerative braking system agent obtains the information of the current driving cycle,and initially completes the calculation of the braking demand force,the calculation and judgement of the braking mode of the vehicle,and sends the braking task to the agent parts of each part.The battery agent and motor agent interact to compensate for braking torque,charge discharge current and other information,and interact with the regenerative braking system intelligent agent to complete the charging and discharging process by real-time information of SOC value;The wheel agent interaction with motor regenerative braking and mechanical braking force information such as the size,and with the regenerative braking system interaction its braking condition parameters real-time change of information,coordination with optimum distribution of braking force;Each part of the agent performs interactive compensation to complete its own braking task.Meanwhile,each parameter is returned to the agent of the regenerative braking system in real time to complete the fusion of interaction information.In order to verify the effectiveness of control strategy,simulation and bench test were carried out.In MATLAB,the Simulink model of each agent is designed and developed,and a complete system of multi agent regenerative braking cooperative control strategy simulation model is built.The simulation is carried out in two cases,the agent is involved and does not participate,and the real-time changes of the parameters such as charge discharge current,SOC value of battery and energy recovery rate are analyzed.Meanwhile,using D2 P Motohawk system to build "multi agent regenerative braking cooperative control strategy" test platform,using D2 P PC industrial computer to complete the calibration of the target parameters,through the cooperation and coordination of experimental equipment to complete the energy recovery experiment,verify the feasibility of the cooperative strategy.The results show that the multi agent regenerative braking cooperative control strategy can be used to judge the braking mode according to the driving condition information and the autonomous coordinated distribution of the braking force.Through coordination and coordination among agents,energy recovery is achieved while braking efficiency is increased,and HEV continues mileage is increased.The experimental results are basically consistent with the simulation results,which verify the effectiveness of the cooperative control strategy and achieve the effect of energy saving and emission reduction.