Research On Intelligent Control System Of Parallel Hybrid Electric Vehicle Based On Adaptive Cruise Control

With the influence of energy crisis and environmental pollution,the global restrictions on vehicle emissions are increasingly high.Hybrid Electric Vehicle(HEV)merges the advantages of the traditional cars and Electric Vehicles,which is that good to meet the requirements of high efficiency and environmental protection.Therefore,the research and development on HEV become a hot spot in the field of current automobile industry.In order to solve the problem of HEV safety and energy saving,most of the current control strategies focus on the working performance of various power units of the vehicle,without considering the driving status of surrounding vehicles,to influence the whole vehicle.Therefore,it is of great significance to develop from the original internal coordination of all parts of the vehicle to the cooperative control with the surrounding environment.A new research method for the energy management of HEV is provided in this paper,which introduces Adaptive Cruise Control(ACC)technology and multi-agent technology.The major contributions are developed as follows:Taking Parallel Hybrid Electric Vehicle(PHEV)as the prototype,combined with the dynamic performance requirements of the vehicle,the relevant components and parameters of vehicle are determined.The corresponding mathematical models are established.The principle of ACC control method and influencing factors of ACC control are analyzed,and the powertrain control strategy of PHEV based on ACC and multi-agent system is proposed.According to the seven characteristic parameters of driving cycle are identified,the autonomous recognition of the driving cycle is realized.Based on the current driving cycle and the expected driving state,the system agent assigns tasks to each component agent from the perspective of improving the fuel economy and emission performance of the vehicle.The component agent then cooperates with each other from the perspective of improving work efficiency,and finally reaches a consensus in the interaction to complete the power distribution.Secondly,the agent model of each power component and system agent are built based on MATLAB/Simulink.The control strategy model of PHEV powertrain is built based on the typical architecture of multi-agent system.Then,the control strategy model is embedded in ADVISOR combining MATLAB/Simulink to simulate the whole vehicle performances.Results of simulation show that the control strategy of PHEV Powertrain based on ACC can reasonably select the driving mode according to the current driving cycles,and the engine efficiency,motor efficiency and vehicle related indicators under its control are more ideal.Finally,the bench test is carried out to verify the feasibility of control strategy.The test platform of "the powertrain control strategy of PHEV" is built with using D2 P Motohawk system.Meanwhile,the calibration of the target parameters is completed by D2 P PC industrial control machine.The energy distribution experiment is completed by the cooperation control of dynamic parts.Results of experiment show that it is basically the same as the simulation results,which the control strategy is feasible and effective.A new method for the energy saving of HEV is provided.