Energy Management And Optimization Of Multi-mode Coupling Drive System For Plug-in Hybrid Electric Vehicles

As a new type of drive system applied to plug-in hybrid electric vehicles,multi-mode coupling drive system has many advantages in terms of energy consumption.The multi-mode coupling drive system is equipped with two motors and an engine as the power source of the drive system,and can achieve multiple working modes through its unique speed change mechanism.If the advantages of each working mode can be made full use and the best mode switching timing can be grasped,the system can make the vehicle get better energy consumption performance.However,the premise of these functions is to have an excellent energy management system,its energy management and control methods are very important for improving the performance of the multi-mode coupling drive system.Because the simple control algorithm cannot give full play to the economic advantages of the drive system,this paper proposes an approximate optimal energy management method based on fixed-line vehicle speed prediction and completes the theoretical verification.This paper includes three parts:energy optimization of rule-based multi-mode coupling drive system,vehicle speed prediction method based on fixed route,and energy-optimal control method based on vehicle speed prediction Simulation analysis of two energy management strategies proves the superiority of the system.This article includes the following aspects(1)The configuration evolution process and working mode of the multi-mode coupling drive system are analyzed,the power source of the drive system and the vehicle drive model are established.Based on the drive system and vehicle parameters,a system drive efficiency simulation study is carried out,which initially proves that multi-mode coupling drive system can improve the driving efficiency of the whole vehicle through multi-dynamic coupling(2)An electric vehicle-charge stable energy management strategy is proposed.The improved real-valued genetic algorithm is used to optimize the system structure and control parameters.While ensuring dynamic performance,the best energy distribution is achieved;the comparison between the multi-mode coupling drive system and the series-distributed hybrid drive system verifies the superiority of the multi-mode coupling drive system in improving vehicle economy(3)A method based on fixed-line vehicle speed prediction is proposed,and an experiment plan for vehicle speed acquisition is designed;the advantages and disadvantages of the two vehicle speed prediction algorithms are analyzed,and a combined vehicle speed prediction algorithm is designed based on this;a simulation analysis test is completed to proves that the designed combined vehicle speed prediction algorithm can achieve better prediction accuracy(4)An adaptive equivalent consumption minimum strategy based on vehicle speed prediction is proposed,and the qualitative law of its energy distribution is analyzed;by selecting the best working mode in the prediction domain and completing the torque distribution in the execution domain,the simulation of the energy management strategy is verified,which proves that the strategy can further improve the economics of the drive system.This paper has carried out innovative research with a certain theoretical level in the design of new drive systems,the development of vehicle speed prediction algorithms and the formulation of energy management strategies,which have certain reference value for improving the comprehensive performance of electric drive systems.