Research On Energy Management Strategy For Extended Range Electric Vehicle Based On ITS Traffic Information

Resources and environment are facing tough challenges in our country.Extended Range Electric Vehicle(EREV)have advantages of that internal combustion engine vehicle's long driving range and Electric Vehicle's clean and efficient,which has received widespread attention.The powertrain,composed of two power sources,includes the battery and APU.With higher battery capacity and the ability to be charged from an external outlet,EREV could cover a longer all electric range.APU can increase the driving range with fuel power.EREV is ideal for a smooth transition from traditional vehicles to pure electric vehicles before the technical breakthrough in EV.Development of intelligent information system increases the flexibility of energy management control strategy of EREV.This paper focus on the research of EREV charging planning and energy management control strategy based on traffic information.The main works are as follows:On the basis of this EREV's structural characteristics and the design target,the parameters for the power source system,driving system and transmission system are matched.Forward simulation model of extended range electric vehicle is established,and provide a simulation platform for EREV energy control strategy design and verification.Combined with working modes of the Extended-range electric vehicle,The EREV three operation points control strategy were proposed.Selection and calculation of the working point were based on some constraint conditions such as the working characteristics of the Atkinson cycle engine,fuel consumption curve,the generator efficiency curve and requirements of control strategy.The power hysteresis control was introduced in control strategy to alleviate fluctuate of engine.Simulations of EREV multi-operating points control strategy were carried out in Matlab."Vehicle-Road-Grid" System and charging characteristics of all kinds of electric vehicle are analyzed.An integrated impedance evaluation index system is constructed,which is composed of travel time,energy consumption and waiting time.The control method for electric vehicle charging planning were studied based on traffic information.The optimal charging solution is determined by Dijkstra algorithm.Based on the establishment of transportation model of partly roads of Beijing city,charging planning within pure electric range and extended range were analyzed.The EREV energy management strategy based on traffic information were studied.Using real-time traffic information and considering the dynamic change of traffic information,the minimum fuel consumption,power consumption and battery charging rate were treated as the optimization goal of genetic algorithm to optimize the open opportunity of the multi-operating points control strategy.On the basis of ensuring the battery life,the fuel economy is further improved.Completed the driver software of TC1782 and built hardware in the loop simulation simulation platform.The multi-operating operation points control strategy and energy management strategy based on traffic information of EREV was tested.