| In recent years,the automobile industry developed rapidly and has become one of the pillar industries of China's national economy.However,with the rapid development of the automotive industry,environmental pollution and energy shortages have become increasingly serious,and experts had to accelerate the research on intelligent and electrified automobiles.Compared with traditional fuel vehicles,with the advantages of saving fossil energy,no tail gas emissions and low noise,pure electric vehicles(EV)have become a research hotspot of governments and automobile manufacturers in the world.With the wide application of computer simulation technology,the simulation research of pure electric vehicles using computer has become more and more popular.However,the pure electric vehicle simulation software has a great dependence on foreign sources,which have not open or partially open to domestic users.So,it is very necessary to develop a set of electric vehicle simulation software with the advantages of simple interface and easy to extension.Under this background,the investigations of a set of interactive and expanding portable pure electric vehicle simulation software in MATLAB are carried out.The main works of this thesis are as follows:(1)A vehicle component module and simulation model for pure electric vehicle are built.The hybrid simulation method combining backward simulation and forward simulation is learned in this thesis.Most of the existing simulation software drives use the single-axis drive format,so two drive control modules,respectively with single-axis power and dual-axis power,are established.The users can choose to drive the single-axis drive electric vehicle(EV)or the dual-axis drive electric vehicle(BDEV)to simulate when they use this simulation software.(2)A research of fuzzy control strategy on regenerative braking energy recovery was carried out.Firstly,a further research on regenerative braking energy recovery is done.Focusing on the disadvantages of low energy for recovery efficiency,a fuzzy controller is designed with the inputs of braking intensity,vehicle speed and pure state of charge,and output of regenerative braking force ratio Kr of drive shaft.The safe braking range is determined after studying,and a method for braking force distribution based on the lower boundary of the safe braking range is proposed.Based on the above research,a fuzzy control of regenerative braking energy recovery strategy is established for both single-axis and two-axis power drives.Finally,the simulation analysis of the fuzzy control strategy on regenerative braking is done for verifying the reliability of the control strategy.(3)The construction and simulation of the software for pure electric vehicle.A simulation platform of electric vehicle is built using a hierarchical model integration method and the centralized data storage mode.Combining the simulation models built in previous parts,a pure electric vehicle simulation software is established.Then the platform transplantation for fuzzy control strategy on regenerative braking energy recovery are carried out.The reliability of the simulation software is verified by CRUISE software,the results show that the simulation software can simulate the pure electric vehicle and meet the basic requirements of related research.According the simulation study of the fuzzy control regenerative braking model,the fuzzy control strategy on regenerative energy recovery can obviously increase the recovery efficiency of braking energy and increase the cruising range of the vehicle. |
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