Adaptive Cruise Control Algorithm Based On Multi-objective Constraints Softening For Electric Vehicle

The development trend of the automotive industry is new automobile four modernizations,which is electric,intelligent,shared and networked.Integrating bicycle intelligent technology on the basis of new energy vehicles,then integrate internet technology to eventually realize of intelligent networked advanced assisted driving technology will become the inevitable trend of the automotive industry in the future.FWID-EV has become a research focus for international and domestic academics because of it's advantages on positive-reverse control drive braking can be achieved through optimal torque distribution.At the same time,in order to cope with the global safety problems by traffic accidents,advanced driver assistance systems have been rapidly developed.How to apply the adaptive cruise system,which is an important part of advanced driving system,on the FWID-EV platform is the focus of this article.The control strategies designed in this paper include the multi-objective constrained softening ACC system and the optimal torque distribution based on the motor efficiency map.Firstly,to shorten the cycle of system design,reflecting the characteristics of vehicle dynamics,building a dynamical model for FWID-EV based on Carsim and MATLAB /Simulink,so as to provide foundation for follow-up design.In connection with FWID-EV simulation platform features,discussing the application and difference of advanced control algorithm in FWID-EV simulation platform,explaining the practical application of MPC theory at the same time,which will be a good starting point for subsequent ACC system development.Secondly,for the ACC system that considers multi-performance indicators such as steady-state follow-up characteristics,anti-collision characteristics,ride comfort,and motor drive is considered.In this respect,a variable time headway ACC system was proposed to meet the complex and changing practical application scenarios.At the same time,a multi-objective cooperative control forecasting model is constructed to meet the driver's desired comfort and economic improvement.Thirdly,the motor has the advantage of lower efficiency loss.Therefore,how to take advantage of the high efficiency of the motor is the focus of control strategy design.In this respect,proposing the optimal torque distribution based on the motor efficiency map,introducing discrete binary variables in constructing nonlinear programming problems.Discrete binary particle swarms are used for objective functions of mixed integer and continuous variables to avoid falling into local optimal solutions.Finally,the FWID-EV verification platform built on MATLAB/Simulink and Carsim is used to achieve the ACC system and the optimal torque distribution method based on the motor efficiency map.Experimental results show that the multi-objective constraint softening ACC control strategy designed can improve the economy and comfort of FWID-EV.The proposed optimal torque distribution strategy based on the MAP of motor efficiency ensures the stability of the ACC system.Applying MPC control theory to realize ACC system design based on FWID-EV simulation platform,the experimental results show that it not only improve the economy and comfort,but also give play to the advantages of motor energy-saving and high-efficiency.Therefore,the torque distribution of the multi-objective constraint softening ACC system in this paper has a certain value.