Study On Parameters Optimization Of Plug-in Hybrid Electric Vehicle Multimode Coupling Drive System

The plug-in hybrid electric vehicle(PHEV),as the transition of the traditional vehicle to the pure electric vehicle,can effectively alleviate the problem of fuel and emission in the process of vehicle driving.On the market of plug-in hybrid vehicles mostly equipped with the central drive system,in order to meet the dynamic performance of the vehicle,a higher characteristics requirements of the motor is necessary,and due to the difficulty to send exactly the right amount of torque to each wheel,auxiliary device must be added to implement the anti-slip-regulation traction and stability control.The object of this paper is a plug-in hybrid electric vehicle with a multimode coupling drive system,the transmission can work in two modes: centralized drive mode and distributed drive mode.Based on the study of the working mode and energy management strategy,a Real-code genetic algorithm has been used to optimize the component parameters and control parameters of the vehicle,so that can ensure the vehicle power,as well as,improve the economy of vehicle.This paper includes the following aspects:(1)According to the vehicle driving conditions and vehicle conditions,taking into account the power demand and economy of the vehicle,the characteristics of the multimode coupling drive system are studied,and the optimal operating mode is analyzed.(2)According to the performance of the dual-mode transmission,two work plans have been developed in the paper,the power system components and matches based on the vehicle's dynamic performance index,and calculates the transmission ratio of the transmission.According to the parameters of the dynamic system,the mathematical model of the power system is established.(3)Based on the vehicle energy management strategy of two work plans,establish the preferred mode of dual-mode transmission mode switching strategy and mode coupling drive system logic,and select the control parameters of the energy management strategies.(4)Aim at the joint optimization of component parameters and control parameters,the fuel consumption per 100 km in hybrid mode was set as the objective function and established the mathematical model,a Real-code genetic algorithm with operator adaptive adjustment was designed to optimize the problem.The optimization results of the two schemes are simulated as the vehicle parameters,compare and analysis the results.The conclusion is drawn that the energy management scheme of the low speed distributed drive mode and the high speed centralized drive mode is more economical.The parameters optimization mathematical model and the energy management strategy proposed of the multi-mode coupling drive system for plug-in hybrid electric vehicle in this paper,the optimizing effect is obvious by using the Real-code genetic algorithm designed,it has a certain theoretical value and engineering significance for the research and application of the system.