Energy-regenerative Suspension SHGH Switching Control Under The Recognition Of Road Roughness Grade Using MSAC

In the context of the increasingly prominent energy problem,the research have confirmed the possibility of vibration energy recovery of suspension and created a series of achievements.The energy-regenerative suspension system serves a critical function in the modern vehicle manufacturing industry.The primary objective of this suspension mechanism is to recover as much energy as possible while safeguarding the rider’s comfort,operational stability,and overall safety.The system achieves its objectives by utilizing vibration energy recuperation technology that converts the dynamic energy generated by the vehicle’s suspension system,which the system then uses to drive the generator to produce energy.This mechanism helps optimize energy utilization and reduce the vehicle’s fuel consumption.This paper introduces a parallel semi-active energy-regenerative suspension system based on permanent magnet synchronous linear motor,which not only improves the vibration characteristics of the suspension,but also recovers the vibration energy of the suspension.The system takes the road roughness level recognized by the lidar system as a reference,switches different canopy-basement hybrid control(SHGH)parameters for different pavement levels to achieve comprehensive control of the suspension system,and the lower control adopts the current hysteresis control strategy to control the DC-DC converter to achieve the target damping force given by SHGH.In this process,proposes a pavement grade recognition algorithm,a mathematical representation of the energy-regenerative suspension system is formulated,and the particle swarm optimization algorithm is employed to determine the optimal parameters for the SHGH control strategies at various pavement conditions.Finally,the effectiveness of the road roughness level recognition algorithm was verified through experimental tests,and a corresponding filtered white noise road excitation model was established based on the recognition results using software.The road excitation was applied to the two-degree-of-freedom model of the suspension system and the controller model for joint simulation to validate the control strategy.The results show that the SHGH control strategy can improve the suspension dynamic travel,vehicle vertical vibration acceleration,and wheel dynamic load,while recovering significant electrical energy.The findings of this study are of great significance for the development of future intelligent vehicle suspension systems.