Research On Energy Efficiency Optimization And Integrated Vehicle Control For Electric Vehicles In Platoon

With the development of technologies such as Internet of Vehicles,electric vehicles can better understand the surrounding traffic environment,and can also develop real-time energy-saving control methods to further improve energy efficiency.In addition,electric vehicle with distributed motors in the wheels has the characteristics of independent controllable torque,stable and efficient power output,and compact structure,which provides more management space for energy saving and safety of the whole vehicle.However,electric vehicle with distributed motors in the wheels is a multiple-system coupling over-actuated control system,which increases the difficulty of the control system designing,optimization and implementation.In addition,the factors influencing the energy consumption in electric vehicle with distributed motors are complicated,which brings more challenges to energy efficiency optimization and management.Therefore,research on energy management strategies and integrated control of electric vehicles in platoon has important scientific theoretical significance and practical application value at the present stage.This paper focused on energy management strategy and integrated vehicle control strategy for electric vehicles in platoon,which aimed to improve energy efficiency and safety performance of electric vehicles,and to realize the multi-objective demands of“safety,power and energy saving” for electric vehicle with distributed motors.Based on the energy loss mechanism of electric vehicles,a multi-system coupled energy efficiency optimization and integrated control strategy,including a cooperative adaptive cruise control system,drive system,and steering system,was proposed.The main research contents and innovations of this article are as follows:(1)The hierarchical integrated control framework in this paper was proposed,and the integrated control algorithm was divided into three parts: economic cooperative adaptive cruise control,vehicle stability integrated control,and torque energy efficiency optimization.Based on this,the finite state machine and model predictive control method were used to design the economical cooperative adaptive cruise control system with a lane change assist system on the upper layer.The simulation results showed that energy loss of vehicle has been significantly reduced during high-speed driving.(2)Considering the dynamic characteristics and coupling relationship of the drive and steering systems,an integrated driving/steering control algorithm for f electric vehicle with distributed motors is designed based on model predictive control theory,which improves the trajectory tracking ability and yaw stable performance of the vehicle.(3)The energy consumption model of the motor and the tyre were established.Based on the drive saturation and safety constraints,a linear quadratic regulator and control distribution method were used to design a torque energy efficiency optimization controller,which optimizes the output torque of the underlying execution motor.The command reduces the energy consumption of the motors and tyre.This paper put forward a clear demonstration of the proposed energy efficiency optimization and integrated vehicle control method for multiple system coupling electric vehicles,and a detailed derivation process of the control method.In order to verify the validity of the controller,the simulations of algorithm were carried out based on the MATLAB/Simulink simulation vehicle model and cooperative driving platform,then goes the analysis of relevant results.The results showed that the proposed control method in this paper has reduced the energy loss of the target vehicle by 13.5% under test conditions,improved the energy utilization efficiency of the vehicle,and reduced the air resistance loss of all vehicles in platoon.