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Research On Intelligent Switching Control Strategy Of Electromagnetic Energy Feedback Suspension

Posted on:2019-10-11Degree:MasterType:Thesis
Country:ChinaCandidate:Y HeFull Text:PDF
GTID:2382330566477801Subject:Vehicle Engineering
Abstract/Summary:PDF Full Text Request
With the global economic growth,the crisis of resources and environment has become an unavoidable problem.The new energy vehicle,represented by electric vehicles,is an ideal scheme for the development of automobile.Using energy recovery suspension to recover vehicle vibration energy for vehicle control will significantly reduce the energy consumption of suspension,which has great significance for improving the economic performance of electric vehicles.In view of the low energy recovery efficiency and great dynamic performance sacrifice of present energy recovery suspension,this paper proposes the intelligent control strategy,optimizes the suspension damping,keeps its excellent dynamic performance,and has high energy recovery ratio,improves its economy,and provides a theoretical law for the performance improvement of the energy recovery suspension.The main contents of this paper are as follows:(1)The suspension system is simulated and analyzed under different road surface and suspension parameters,and the energy regenerative potential and dynamic characteristics of the suspension are studied.The results show that the potential of the suspension energy feed is proportional to the tire stiffness,and the main influence factor of the spring mass acceleration is the spring quality,and the tire stiffness has a significant influence on the tire dynamic load.(2)The active suspension model and the fuzzy PID,single neuron PID,particle swarm optimization controller are built and the simulation is carried out in the typical working condition,and the control strategy of the active suspension is studied.The study shows that single neuron PID control has the best effect of acceleration control,but the energy consumption is high.The optimal control of particle swarm optimization has good safety and acceleration control effect and the energy consumption is the lowest.(3)The energy regenerative suspension model is established.Combining the analysis results of the suspension energy regenerative potential and the active control strategy,the intelligent control strategy of energy regenerative suspension based on the mode switching of the suspension state is studied,and the damping optimization of the suspension is carried out.The results show that the intelligent switching control strategy proposed in this paper can make the suspension maintain good dynamic performance and has considerable energy regenerative rate.(4)The nonlinear characteristic function of the actuator and whole vehicle suspension model is established,and the dynamics and energy regenerative characteristics of the vehicle are studied.The research shows that intelligent control strategy of energy regenerative suspension still has good energy recovery performance at the whole vehicle level,and the actuator nonlinearity has little influence on the performance of the suspension.
Keywords/Search Tags:Electric vehicle, electromagnetic energy feedback suspension, active control, mode switching strategy, nonlinearity
PDF Full Text Request
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