The Research On Energy Management Strategy For Hybrid Electric Vehicle Based On Improved Artificial Bee Colony Algorithm

Vehicle has become an essential means of transport in people's daily life with the accelerated pace of life and the provision of living standards.It is undeniable that the car brought us a convenient life,but at the same time also brought serious environmental problems and energy crisis.The government of every country is strongly recommended electric vehicle research and development work.Storage battery,as the power source of electric vehicle,has some defects such as low power density,short cycle life,short driving distance,charging time is long and so on.Super capacitor development rapidly recent years,although the super capacitor has small energy density,it has the advantage of high power density,long cycle life and short charging time.In order to make full use of the advantages of both battery and super capacitor,the reach of this paper mainly includes the following aspects:(1)Analyze the characteristics of batteries,supercapacitors and DC/DC converters,and chose the composite power structure according to its working characteristics.On the basis of this,the battery model was selected based on the advisor software platform and the super capacitor model and the top model of the electric vehicle were developed twice.The composite electric power vehicle model of super capacitor and battery was established.(2)The logic control strategy and the fuzzy control strategy of composite power supply system are compared with reading the related literature.The hierarchical fuzzy control strategy based on the finite state machine is designed by using the advantages of the finite state machine in order to further improve the control precision.The control effect of different kinds of control strategies is also compared and analyzed.(3)The basic principle and the advantages and disadvantages of the artificial bee colony algorithm are analyzed.According to the shortcomings of the colony algorithm,the advantages of the genetic algorithm and the particle swarm algorithm are integrated into the artificial bee colony algorithm,so,the artificial bee colony algorithm is improved comprehensively.Finally,the corresponding work condition is selected,and the advisor software is called by the improved artificial bee colony algorithm.The membership function and the fuzzy rules of fuzzy control are automatically learned.The result show that the fuzzy control strategy learned by improved artificial bee algorithm is more accurate.After optimization of the fuzzy control strategy,the energy consumption of UDDS condition,the SC03 condition and the NEDC condition is still reduced by 8.36%,8.58%and 6.34%compared with the fuzzy control strategy based on the finite state machine with expert experience.It is strongly proved that the improved artificial bee algorithm is effective in the fuzzy control system of composite power supply.At the same time,fuzzy controller based on UDDS condition is applied to other operating conditions,it is found that the control effect of controller is not better than that based on specific working conditions,but energy consumption also has a certain proportion of reduction.