Research On Intelligent Charging And Discharging System Of Vehicle Based On Road Condition

With the gradual popularity of off-road vehicles,more and more cars are running on some unstructured roads,including some muddy,soft and other ”bad roads”,which puts forward higher requirements on all aspects of the car.As components that directly contact these different road surfaces,tires play an important role in the power,passability,and safety of automobiles.In the process of tire contact with the ground,tire pressure is an important influencing factor.At present,the adjustment of tire pressure is mainly based on the driver’s judgment on the road surface,and the adjustment method is single and the speed is limited.In this paper,the impact of tire pressure on the performance of vehicles under wheel-ground contact,combined with the road type recognition technology of unmanned vehicles,conducts an in-depth study on the vehicle intelligent walking charging and discharging system.The research content of this article is as follows:(1)Research on tire correction model based on wheel-ground contactThrough analyzing the influence mechanism of tire pressure on tire structural and mechanical properties during wheel-ground contact,the effect of tire pressure on vehicle driving performance under different soft and hard road conditions is studied,which provides a theoretical basis for determining the appropriate tire pressure later.Considering the tire pressure and road conditions,the existing tire model was revised,and the effectiveness of the model was verified through simulation analysis.(2)Road surface type recognition of unmanned vehiclesBased on the analysis of the existing unmanned vehicle road type recognition technology,combined with the needs of the research content of this paper,a road type fusion correction strategy based on images and vehicle dynamics parameters is proposed.In the image-based road surface type recognition,the support vector machine algorithm is used to classify the processed road surface data in front of the vehicle.The road surface type recognition based on vehicle dynamics parameters is used to estimate the road surface adhesion coefficient and the rolling resistance coefficient.The adhesion level and hardness of the road surface are divided.The fusion correction of the results obtained by the two identification methods at the same time can better judge the road surface condition of the vehicle and provide a basis for the subsequent adjustment of tire pressure.(3)Research on the control strategy of the charging and discharging system of vehicle intelligent walkingThrough the research on the theory of tire inflation and deflation,the tire mixed inflation and deflation scheme is determined,and the inflation and deflation time of the two inflation and deflation schemes are calculated.Considering the needs of tire pressure adjustment,a logic threshold-based charging and discharging control strategy is determined.The tire pressure can be quickly adjusted based on the learning function and the tire pressure is adjusted step by step based on fuzzy PID control,and the control strategy design of tire pressure adjustment is completed.(4)Experimental research on the charging and discharging system of vehicle intelligent walkingAccording to the functional requirements of the system,the vehicle intelligent walking charging and discharging system is designed.Build a joint simulation platform of MATLAB/Simulink and Ame Sim to conduct simulation tests on acceleration and sliding conditions of several typical docking roads;build a real vehicle test platform to conduct acceleration,deceleration and sliding real vehicle tests on several typical test scenarios.Simulation and actual vehicle results show that the vehicle intelligent walking charging and discharging system based on road condition recognition proposed in this paper can effectively identify different road conditions,adjust tire pressure in time,and improve the driving performance of vehicles on ”bad roads”.