Research On Electric City Logistics Vehicle Coordination Control Based On Energy Consumption Optimization

Under the background of energy shortage and environmental pollution rising as a worldwide problem,on the one hand,countries around the world have issued strict fuel consumption and emission regulations;on the other hand,they have increased investment in the research and development,application and promotion of new energy vehicles.After decades of technological development,electric vehicles with electricity as the only energy source are more and more widely used in ordinary family cars,city logistics vehicles and special purpose vehicles.Facing the situation that the energy density of power battery is far lower than that of traditional fuel,how to reduce the vehicle energy consumption and extend the driving range of electric vehicle is still an urgent technical problem.This paper mainly relies on the project of provincial Science and Technology Department,aiming at the increasingly widely used electric city logistics vehicle,through the research on energy flow,energy-saving mechanism and optimization algorithm of electric vehicle,establishes the energy consumption calculation model based on energy flow,the optimization energy consumption estimation model based on adaptive extended Kalman filter(AEKF)algorithm,and designs the energy-saving prediction coordination control algorithm The research work is carried out in several aspects.Firstly,the controlled object model,driver model and vehicle controller model of electric city logistics vehicle are established.Aiming at the single motor drive axle configuration and three gear planetary transmission scheme of electric city logistics vehicle,the controlled object model is built,including power battery model,motor drive system model,transmission system model,wheel and tire model,vehicle model.The vehicle controller model includes driver intention recognition model,energy management model and drive motor torque calculation model.It provides necessary conditions for the effect evaluation of energy consumption optimization and the effectiveness evaluation of optimal control algorithm.Secondly,by analyzing the energy flow in the steady and dynamic working process of the electric city logistics vehicle and the key factors affecting the energy consumption,the energy consumption calculation model based on energy flow is established.Aiming at the shortcomings of energy consumption model based on energy flow,such as too many demand parameters,difficult to obtain parameters accurately and complicated calculation,a highprecision energy consumption calculation model based on AEKF is established.Thirdly,using MPC framework and QP optimization algorithm,a coordinated control strategy aiming at energy consumption optimization and impact suppression is formulated.The working process and energy-saving mechanism of the whole vehicle under steady and dynamic conditions are analyzed,and the optimization objective of energy consumption optimization and dynamic process impact suppression is proposed considering the economy,comfort and smoothness of the whole vehicle.In the framework of model predictive control algorithm,a predictive control model is built with the output torque of drive system as control variables,and the SOC,driving and driven speed and angle of vehicle as state variables.The optimal control law is solved by quadratic programming algorithm.Fourthly,the simulation platform and bench verification platform are built to verify the energy consumption model and coordinated control algorithm.On the simulation platform and experimental platform of the control algorithm verification,taking the vehicle typical working conditions as the input conditions,it is verified that the energy consumption model based on AEKF algorithm has high estimation accuracy and meets the use requirements.Through comparative experiments,it is verified that the energy-saving predictive coordinated control algorithm can effectively reduce the vehicle energy consumption and improve the impact index.Based on the high-precision energy consumption model,through the coordinated control of vehicle energy consumption and motor torque,this paper realizes the full utilization and accurate prediction of energy and motor torque of electric city logistics vehicle,and achieves the effect of improving vehicle economy,smoothness and comfort,which has a certain reference value for engineering application.