Research On Control Algorithm Of Hybrid Electric Vehicle Adaptive Cruise Control System

Adaptive Cruise Control(ACC) is an advanced driver assistance systems, the system could well satisfy people for driving intelligence, security and comfort requirements. Since most of time adaptive cruise drive is under the following conditions, the new generation of ACC system research is focused on the study of following conditions. Under the condition of ceaselessly in running mileage accumulation, the changes of vehicle’s body parameters lead to the mismatch of controller’s operation function, which has serious influence on the dynamic performance of the vehicle and driving experience, under special circumstances occur even controller failure problem, therefore study on cruise system model and design of the controller is of great significance to guarantee the stability of the vehicle.This paper discusses two issues about ACC under following conditions, one is to establish data-driven model of following conditions, another is to design vehicle controller based on safe distance. In this paper, the parallel hybrid electric vehicle is chose as the control object, considering the model mismatch and less robust controller design problem,a cruise system second-order discrete sliding mode control strategy based on I/O datadriven is proposed, based on the realization of energy saving effectively, the method improves the safety performance of vehicles cruising. Firstly, according to the vehicle’s dynamic characteristics, combined with vehicle-related data is collected by multi-sensor,Based on "time headway" policy, required torque and the vehicle distance error prediction model is built. The method of the data driven subspace identification is adopted, using input and output data of cruise system identifies subspace parameter in the model, the modeling accuracy of the model is improved. On this basis, to improve the problems of the conventional array shaking discrete sliding mode, a discrete second order sliding mode predictive control strategy is proposed, minimum deviation between the actual distance and the safe distance is implemented. Finally, PSO algorithm torque distribution optimal vehicle efficiency targets for the hybrid engine and the motor.Cruise software is applied to build vehicle dynamics model. The joint simulation experiment is completed under Matlab/Simulink environment, control effect of the controller in four kinds of typical working conditions is validated.The results show that the presented control strategy can realize that actual distance and the safety distance effective follow, acceleration and deceleration of the front vehicle has good robustness,motor and engine achieve good coordination, vehicle efficiency at about 80 percentage.